The full breakdown
How the figure for Lithium-ion battery pack is built
Every stage the model passes through, with its number. Each table below divides the same headline figure a different way, and each one adds up to it exactly — the page checks, and refuses to show a table that does not.
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The headline
One item is one kilogram of assembled lithium-ion battery pack. Scenario Economic-embedded, using FIGARO 2023. Each figure is the middle result of 2,000 runs of the calculation, with the range that holds nine in ten of them beside it, and the grade that range earns.
Materials method — 6.9 × 10⁻⁸ per item(0.36–1.4 × 10⁻⁷)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r
Money method — 2.3 × 10⁻⁶ per €1,000 spent in its industry(1.5–3.6 × 10⁻⁶)MEDIUMS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r
Each step below is a middle estimate. The model works out a range for the whole figure, not for each step, so the range that applies to a step is the headline’s.
1 · What it is made of, and what each material carries
How much of each raw material is in one item, the deaths linked to each kilogram of it in this calculation, and the two multiplied together: its part of the headline figure.
| Material | Per item | Deaths per kg | Part of the figure | Share |
|---|---|---|---|---|
| Cobalt | 4.8 × 10⁻⁵ t | 8.9 × 10⁻⁷ | 4.3 × 10⁻⁸ | 63% |
| Copper | 7.2 × 10⁻⁵ t | 2.0 × 10⁻⁷ | 1.4 × 10⁻⁸ | 20% |
| Lithium | 2.8 × 10⁻⁵ t | 1.8 × 10⁻⁷ | 4.9 × 10⁻⁹ | 7.2% |
| Nickel | 1.2 × 10⁻⁴ t | 3.8 × 10⁻⁸ | 4.5 × 10⁻⁹ | 6.6% |
| Natural graphite | 2.0 × 10⁻⁴ t | 6.1 × 10⁻⁹ | 1.2 × 10⁻⁹ | 1.8% |
| Manganese | 6.5 × 10⁻⁵ t | 6.6 × 10⁻⁹ | 4.3 × 10⁻¹⁰ | 0.63% |
| Bauxite | 6.9 × 10⁻⁴ t | 1.2 × 10⁻¹⁰ | 8.3 × 10⁻¹¹ | 0.12% |
| Iron ore | 6.6 × 10⁻⁶ t | 1.9 × 10⁻⁹ | 1.2 × 10⁻¹¹ | <0.1% |
| Coal and lignite | 3.4 × 10⁻⁶ t | 1.7 × 10⁻⁹ | 6.0 × 10⁻¹² | <0.1% |
| Total | 6.9 × 10⁻⁸ | = the headline figure, 6.9 × 10⁻⁸ | ||
2 · Where the harm was counted
The same headline, by the country where the harm the materials carry was counted.
| Country | Part of the figure | Share |
|---|---|---|
| Congo, Dem. Rep. | 5.5 × 10⁻⁸ | 80% |
| Philippines | 2.3 × 10⁻⁹ | 3.4% |
| Mexico | 2.2 × 10⁻⁹ | 3.2% |
| Mali | 1.4 × 10⁻⁹ | 2.1% |
| Australia | 1.4 × 10⁻⁹ | 2.0% |
| Brazil | 1.3 × 10⁻⁹ | 1.9% |
| Colombia | 7.3 × 10⁻¹⁰ | 1.1% |
| Argentina | 6.7 × 10⁻¹⁰ | 0.97% |
| Canada | 6.6 × 10⁻¹⁰ | 0.97% |
| Ukraine | 6.1 × 10⁻¹⁰ | 0.89% |
| Mozambique | 4.9 × 10⁻¹⁰ | 0.72% |
| Indonesia | 4.5 × 10⁻¹⁰ | 0.65% |
| Portugal | 3.9 × 10⁻¹⁰ | 0.56% |
| Russian Federation | 3.1 × 10⁻¹⁰ | 0.45% |
| Sri Lanka | 2.7 × 10⁻¹⁰ | 0.39% |
| United States | 2.2 × 10⁻¹⁰ | 0.33% |
| Turkiye | 2.1 × 10⁻¹⁰ | 0.31% |
| Korea, Rep. | 5.6 × 10⁻¹¹ | <0.1% |
| Guatemala | 5.5 × 10⁻¹¹ | <0.1% |
| Poland | 4.0 × 10⁻¹¹ | <0.1% |
| Papua New Guinea | 3.7 × 10⁻¹¹ | <0.1% |
| Pakistan | 2.9 × 10⁻¹¹ | <0.1% |
| Myanmar | 2.5 × 10⁻¹¹ | <0.1% |
| Finland | 2.0 × 10⁻¹¹ | <0.1% |
| Peru | 1.7 × 10⁻¹¹ | <0.1% |
| Romania | 1.4 × 10⁻¹¹ | <0.1% |
| Georgia | 1.3 × 10⁻¹¹ | <0.1% |
| India | 8.0 × 10⁻¹² | <0.1% |
| Morocco | 4.2 × 10⁻¹² | <0.1% |
| South Africa | 3.4 × 10⁻¹² | <0.1% |
| Greece | 2.7 × 10⁻¹² | <0.1% |
| Ghana | 8.5 × 10⁻¹³ | <0.1% |
| China | 6.8 × 10⁻¹³ | <0.1% |
| Austria | 5.5 × 10⁻¹³ | <0.1% |
| Norway | 3.2 × 10⁻¹³ | <0.1% |
| Germany | 1.8 × 10⁻¹³ | <0.1% |
| Venezuela, RB | 1.3 × 10⁻¹³ | <0.1% |
| Uzbekistan | 5.0 × 10⁻¹⁴ | <0.1% |
| Saudi Arabia | 3.4 × 10⁻¹⁴ | <0.1% |
| Sweden | 2.3 × 10⁻¹⁴ | <0.1% |
| Mongolia | 1.9 × 10⁻¹⁴ | <0.1% |
| Bulgaria | 1.4 × 10⁻¹⁴ | <0.1% |
| Czechia | 1.1 × 10⁻¹⁴ | <0.1% |
| Mauritania | 9.6 × 10⁻¹⁵ | <0.1% |
| Thailand | 8.0 × 10⁻¹⁵ | <0.1% |
| Niger | 4.3 × 10⁻¹⁵ | <0.1% |
| Ethiopia | 4.2 × 10⁻¹⁵ | <0.1% |
| Iran, Islamic Rep. | 4.2 × 10⁻¹⁵ | <0.1% |
| Nigeria | 4.1 × 10⁻¹⁵ | <0.1% |
| Afghanistan | 3.8 × 10⁻¹⁵ | <0.1% |
| Slovenia | 1.7 × 10⁻¹⁵ | <0.1% |
| Hungary | 1.3 × 10⁻¹⁵ | <0.1% |
| Japan | 7.4 × 10⁻¹⁶ | <0.1% |
| Slovak Republic | 6.5 × 10⁻¹⁶ | <0.1% |
| Eswatini | 7.6 × 10⁻¹⁷ | <0.1% |
| Bangladesh | 1.0 × 10⁻¹⁷ | <0.1% |
| Armenia | 7.1 × 10⁻²⁰ | <0.1% |
| Total | 6.9 × 10⁻⁸ | = the headline figure, 6.9 × 10⁻⁸ |
3 · Through which kind of harm
The same headline, by kind of harm: war, work, poverty, pollution.
| Kind of harm | Part of the figure | Share |
|---|---|---|
| Conflict and political violence | 6.4 × 10⁻⁸ | 93% |
| Work | 4.6 × 10⁻⁹ | 6.7% |
| Total | 6.9 × 10⁻⁸ | = the headline figure, 6.9 × 10⁻⁸ |
4 · Which wars
The war deaths in the headline, by war. Harm of any other kind is the row that names no war.
| War | Part of the figure | Share |
|---|---|---|
| IS - Civilians | 1.5 × 10⁻⁸ | 22% |
| URDPC - Civilians | 9.6 × 10⁻⁹ | 14% |
| Lengola - Mbole | 6.3 × 10⁻⁹ | 9.2% |
| Not placed | 4.6 × 10⁻⁹ | 6.7% |
| DR Congo (Zaire): Islamic State | 4.4 × 10⁻⁹ | 6.4% |
| M23 - VDP | 2.7 × 10⁻⁹ | 4.0% |
| Mobondo - Civilians | 2.6 × 10⁻⁹ | 3.8% |
| DR Congo (Zaire): Government | 2.2 × 10⁻⁹ | 3.1% |
| M23 - Civilians | 2.1 × 10⁻⁹ | 3.1% |
| Rwanda: Government | 1.9 × 10⁻⁹ | 2.7% |
| Government of DR Congo (Zaire) - Civilians | 1.7 × 10⁻⁹ | 2.5% |
| Philippines: Government | 1.4 × 10⁻⁹ | 2.1% |
| Jalisco Cartel New Generation - Sinaloa Cartel | 1.1 × 10⁻⁹ | 1.5% |
| Government of Rwanda - Civilians | 1.0 × 10⁻⁹ | 1.5% |
| URDPC - Zaire self-defense group | 8.7 × 10⁻¹⁰ | 1.3% |
| Zaire self-defense group - Civilians | 7.7 × 10⁻¹⁰ | 1.1% |
| VDP - Civilians | 7.3 × 10⁻¹⁰ | 1.1% |
| Philippines: Islamic State | 6.9 × 10⁻¹⁰ | 1.0% |
| Russia - Ukraine | 6.2 × 10⁻¹⁰ | 0.90% |
| FPIC Chambre noire sanduku - URDPC | 5.7 × 10⁻¹⁰ | 0.83% |
| FPIC Chambre noire sanduku - Civilians | 5.6 × 10⁻¹⁰ | 0.81% |
| AFC - Civilians | 4.1 × 10⁻¹⁰ | 0.59% |
| AFP-Gutabara - CNPSC, FABB | 3.8 × 10⁻¹⁰ | 0.55% |
| Mali: Government | 3.8 × 10⁻¹⁰ | 0.55% |
| Comando Vermelho - PCC | 3.7 × 10⁻¹⁰ | 0.55% |
| Mozambique: Islamic State | 3.2 × 10⁻¹⁰ | 0.46% |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 3.2 × 10⁻¹⁰ | 0.46% |
| Juarez Cartel - Sinaloa Cartel | 2.8 × 10⁻¹⁰ | 0.41% |
| Indonesia: West Papua | 2.8 × 10⁻¹⁰ | 0.41% |
| IS - JNIM | 2.4 × 10⁻¹⁰ | 0.35% |
| Carteles Unidos - Jalisco Cartel New Generation | 2.1 × 10⁻¹⁰ | 0.31% |
| Government of Mali - Civilians | 1.9 × 10⁻¹⁰ | 0.28% |
| Mali: Government/Azawad | 1.6 × 10⁻¹⁰ | 0.23% |
| Colombia: Government | 1.5 × 10⁻¹⁰ | 0.22% |
| JNIM - Civilians | 1.4 × 10⁻¹⁰ | 0.21% |
| CPP - Civilians | 1.4 × 10⁻¹⁰ | 0.20% |
| AFP-Gutabara - FABB | 1.4 × 10⁻¹⁰ | 0.20% |
| Bonde do Maluco - Comando Vermelho | 1.4 × 10⁻¹⁰ | 0.20% |
| OPM - Civilians | 1.3 × 10⁻¹⁰ | 0.19% |
| Cartel do Norte - Comando Vermelho | 1.2 × 10⁻¹⁰ | 0.18% |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 1.2 × 10⁻¹⁰ | 0.18% |
| FRPI - Civilians | 1.1 × 10⁻¹⁰ | 0.17% |
| Burundi: Government | 8.9 × 10⁻¹¹ | 0.13% |
| Bonde dos 40 - PCC | 8.7 × 10⁻¹¹ | 0.13% |
| Dan na Ambassagou - JNIM | 8.0 × 10⁻¹¹ | 0.12% |
| Mali: Islamic State | 7.8 × 10⁻¹¹ | 0.11% |
| Basonge - Bena Nkoma (Bakwa Luntu, Luba) | 7.6 × 10⁻¹¹ | 0.11% |
| EGC - Civilians | 6.8 × 10⁻¹¹ | <0.1% |
| Comando Vermelho - GDE | 6.6 × 10⁻¹¹ | <0.1% |
| Nova Okaida - Estados Unidos | 6.6 × 10⁻¹¹ | <0.1% |
| GDE, PCC - Sindicato do Crime | 6.5 × 10⁻¹¹ | <0.1% |
| FDLR-FOCA - Civilians | 6.3 × 10⁻¹¹ | <0.1% |
| FPIC Chambre noire sanduku - FRPI | 6.3 × 10⁻¹¹ | <0.1% |
| PCC - Sindicato do Crime | 5.7 × 10⁻¹¹ | <0.1% |
| Amigos Para Sempre - Família Terror Amapá | 5.7 × 10⁻¹¹ | <0.1% |
| IS - Naparama | 5.4 × 10⁻¹¹ | <0.1% |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 5.4 × 10⁻¹¹ | <0.1% |
| Mayi Mayi Chini ya Tuna - Civilians | 5.1 × 10⁻¹¹ | <0.1% |
| Comando Vermelho - Civilians | 4.7 × 10⁻¹¹ | <0.1% |
| South Sudan: Government | 3.8 × 10⁻¹¹ | <0.1% |
| Luba - Batwa | 3.8 × 10⁻¹¹ | <0.1% |
| Ambulin, Lungupin, Nenei, Sau, Sau Walep, Yandamau, Yopo - Kaekin, Lanzerakin, Lyona, Mupapalu, Murap, Palinau, Sakaikin, Sikin, Wapukin | 3.7 × 10⁻¹¹ | <0.1% |
| FARC-EMC - Civilians | 3.6 × 10⁻¹¹ | <0.1% |
| Bonde dos 13, PCC - Comando Vermelho | 3.4 × 10⁻¹¹ | <0.1% |
| Bonde dos 40 - Comando Vermelho | 3.4 × 10⁻¹¹ | <0.1% |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 3.4 × 10⁻¹¹ | <0.1% |
| M18 - MS-13 | 3.4 × 10⁻¹¹ | <0.1% |
| Government of Indonesia - Civilians | 3.3 × 10⁻¹¹ | <0.1% |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 3.1 × 10⁻¹¹ | <0.1% |
| Russia (Soviet Union): Government | 2.6 × 10⁻¹¹ | <0.1% |
| Comando Vermelho - Holanda | 2.4 × 10⁻¹¹ | <0.1% |
| Government of Mozambique - Civilians | 2.3 × 10⁻¹¹ | <0.1% |
| FARC-EMC - ELN | 2.3 × 10⁻¹¹ | <0.1% |
| Los Ardillos - Los Tlacos | 2.3 × 10⁻¹¹ | <0.1% |
| Dozos (Mali) - JNIM | 2.2 × 10⁻¹¹ | <0.1% |
| Pakistan: Government | 2.1 × 10⁻¹¹ | <0.1% |
| Comando Vermelho - Massa | 1.8 × 10⁻¹¹ | <0.1% |
| Nova Okaida - PCC | 1.8 × 10⁻¹¹ | <0.1% |
| Philippines: Mindanao | 1.7 × 10⁻¹¹ | <0.1% |
| Government of Philippines - Civilians | 1.7 × 10⁻¹¹ | <0.1% |
| Peru: Government | 1.7 × 10⁻¹¹ | <0.1% |
| Bonde do Maluco - Katiara | 1.7 × 10⁻¹¹ | <0.1% |
| Bonde do Maluco - Civilians | 1.7 × 10⁻¹¹ | <0.1% |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 1.6 × 10⁻¹¹ | <0.1% |
| FARC - Segunda Marquetalia - Civilians | 1.6 × 10⁻¹¹ | <0.1% |
| ELN - Civilians | 1.5 × 10⁻¹¹ | <0.1% |
| Myanmar (Burma): Government | 1.4 × 10⁻¹¹ | <0.1% |
| Bonde dos 40 - Civilians | 1.3 × 10⁻¹¹ | <0.1% |
| DR Congo (Zaire): Katanga | 1.3 × 10⁻¹¹ | <0.1% |
| Government of Uganda - Civilians | 1.3 × 10⁻¹¹ | <0.1% |
| Government of Burundi - Civilians | 1.3 × 10⁻¹¹ | <0.1% |
| Twiganeho - Civilians | 1.3 × 10⁻¹¹ | <0.1% |
| AFC - VDP | 1.3 × 10⁻¹¹ | <0.1% |
| Comando Vermelho - Terceiro Comando Puro | 1.3 × 10⁻¹¹ | <0.1% |
| Los Costenos - Los Pepes | 1.2 × 10⁻¹¹ | <0.1% |
| Dozos (Mali) - Civilians | 1.2 × 10⁻¹¹ | <0.1% |
| MS-13 - Civilians | 1.2 × 10⁻¹¹ | <0.1% |
| EGC - ELN, FARC-EMC | 1.2 × 10⁻¹¹ | <0.1% |
| EGC - ELN | 1.1 × 10⁻¹¹ | <0.1% |
| Turkey: Kurdistan | 9.9 × 10⁻¹² | <0.1% |
| M18 - Civilians | 9.6 × 10⁻¹² | <0.1% |
| PCC - Civilians | 9.4 × 10⁻¹² | <0.1% |
| Ajeita - Bonde do Maluco | 8.4 × 10⁻¹² | <0.1% |
| Dan na Ambassagou - Civilians | 7.5 × 10⁻¹² | <0.1% |
| Government of Brazil - Civilians | 6.3 × 10⁻¹² | <0.1% |
| Anti-Bala - Bala na Cara | 5.8 × 10⁻¹² | <0.1% |
| GATIA - IS | 5.6 × 10⁻¹² | <0.1% |
| Government of Russia (Soviet Union) - Civilians | 5.4 × 10⁻¹² | <0.1% |
| Bonde dos 40 - PCM | 5.2 × 10⁻¹² | <0.1% |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 5.0 × 10⁻¹² | <0.1% |
| Government of Myanmar (Burma) - Civilians | 4.9 × 10⁻¹² | <0.1% |
| Los Rusos, UPOEG - Los Tlacos | 4.7 × 10⁻¹² | <0.1% |
| Jalisco Cartel New Generation - Civilians | 4.3 × 10⁻¹² | <0.1% |
| Morocco: Sahrawi Arab Democratic Republic (Western Sahara) | 4.2 × 10⁻¹² | <0.1% |
| Government of Colombia - Civilians | 4.1 × 10⁻¹² | <0.1% |
| Jalisco Cartel New Generation - Pájaros Sierra | 3.9 × 10⁻¹² | <0.1% |
| Government of Mexico - Civilians | 3.3 × 10⁻¹² | <0.1% |
| Myanmar (Burma): Kachin | 3.1 × 10⁻¹² | <0.1% |
| Los Ardillos - Los Rojos | 2.8 × 10⁻¹² | <0.1% |
| IS - MSA | 2.8 × 10⁻¹² | <0.1% |
| Pakistan: Balochistan | 2.7 × 10⁻¹² | <0.1% |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 2.7 × 10⁻¹² | <0.1% |
| India: Kashmir | 2.3 × 10⁻¹² | <0.1% |
| Pakistan: Islamic State | 2.1 × 10⁻¹² | <0.1% |
| CATA - Codeta | 2.0 × 10⁻¹² | <0.1% |
| Kuki - Meitei | 2.0 × 10⁻¹² | <0.1% |
| India: Government | 1.9 × 10⁻¹² | <0.1% |
| Comandos de la Frontera - Civilians | 1.8 × 10⁻¹² | <0.1% |
| Myanmar (Burma): Karen | 1.6 × 10⁻¹² | <0.1% |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 1.4 × 10⁻¹² | <0.1% |
| Government of South Africa - Civilians | 1.4 × 10⁻¹² | <0.1% |
| Russia: Islamic State | 1.4 × 10⁻¹² | <0.1% |
| Myanmar (Burma): Karenni | 1.2 × 10⁻¹² | <0.1% |
| Gulf Cartel - Sinaloa Cartel | 9.4 × 10⁻¹³ | <0.1% |
| Gulf Cartel - Jalisco Cartel New Generation | 9.4 × 10⁻¹³ | <0.1% |
| Los Costenos - Civilians | 9.1 × 10⁻¹³ | <0.1% |
| Kusasi - Mamprusi | 8.5 × 10⁻¹³ | <0.1% |
| CPI-Maoist - Civilians | 8.4 × 10⁻¹³ | <0.1% |
| Shia (Pakistan) - Sunni (Pakistan) | 7.1 × 10⁻¹³ | <0.1% |
| Myanmar (Burma): Arakan | 6.6 × 10⁻¹³ | <0.1% |
| Government of Papua New Guinea - Civilians | 5.5 × 10⁻¹³ | <0.1% |
| Russia (Soviet Union): Chechnya | 5.4 × 10⁻¹³ | <0.1% |
| Amigos dos Amigos - Comando Vermelho | 5.2 × 10⁻¹³ | <0.1% |
| FDN - PCC | 5.2 × 10⁻¹³ | <0.1% |
| Myanmar (Burma): Kokang | 4.1 × 10⁻¹³ | <0.1% |
| Kashmir insurgents - Civilians | 3.7 × 10⁻¹³ | <0.1% |
| BRAS - Civilians | 2.9 × 10⁻¹³ | <0.1% |
| PKK - Civilians | 1.9 × 10⁻¹³ | <0.1% |
| TTP - Civilians | 1.7 × 10⁻¹³ | <0.1% |
| Guerreros Unidos - Los Tlacos | 1.6 × 10⁻¹³ | <0.1% |
| Hindus (India) - Muslims (India) | 1.6 × 10⁻¹³ | <0.1% |
| Government of India - Civilians | 1.4 × 10⁻¹³ | <0.1% |
| NUG - Civilians | 1.2 × 10⁻¹³ | <0.1% |
| Government of Pakistan - Civilians | 1.2 × 10⁻¹³ | <0.1% |
| Government of Venezuela - Civilians | 1.1 × 10⁻¹³ | <0.1% |
| India: Western South East Asia | 7.9 × 10⁻¹⁴ | <0.1% |
| Afghanistan - Pakistan | 4.9 × 10⁻¹⁴ | <0.1% |
| VHP - Civilians | 3.9 × 10⁻¹⁴ | <0.1% |
| Yemen (North Yemen): Government | 3.4 × 10⁻¹⁴ | <0.1% |
| LeJ - Civilians | 2.4 × 10⁻¹⁴ | <0.1% |
| India - Pakistan | 2.0 × 10⁻¹⁴ | <0.1% |
| India: Nagaland | 2.0 × 10⁻¹⁴ | <0.1% |
| NSCN-IM - Civilians | 2.0 × 10⁻¹⁴ | <0.1% |
| PLFI - Civilians | 2.0 × 10⁻¹⁴ | <0.1% |
| Myanmar (Burma): Shan | 1.7 × 10⁻¹⁴ | <0.1% |
| Mauritania: Government | 9.6 × 10⁻¹⁵ | <0.1% |
| ARSA - Civilians | 8.3 × 10⁻¹⁵ | <0.1% |
| Iran: Government | 3.5 × 10⁻¹⁵ | <0.1% |
| Ethiopia: Government/Amhara | 2.2 × 10⁻¹⁵ | <0.1% |
| Niger: Islamic State | 1.9 × 10⁻¹⁵ | <0.1% |
| Afghanistan: Islamic State | 1.7 × 10⁻¹⁵ | <0.1% |
| Nigeria: Islamic State | 1.6 × 10⁻¹⁵ | <0.1% |
| Ethiopia: Oromiya | 8.2 × 10⁻¹⁶ | <0.1% |
| Afghanistan: Government | 6.0 × 10⁻¹⁶ | <0.1% |
| Government of Afghanistan - Civilians | 4.5 × 10⁻¹⁶ | <0.1% |
| Thailand: Patani | 4.0 × 10⁻¹⁶ | <0.1% |
| IS - JAS | 3.9 × 10⁻¹⁶ | <0.1% |
| Nigeria: Government | 3.9 × 10⁻¹⁶ | <0.1% |
| Iran: Islamic State | 3.9 × 10⁻¹⁶ | <0.1% |
| Niger: Government | 3.8 × 10⁻¹⁶ | <0.1% |
| Government of Ethiopia - Civilians | 3.4 × 10⁻¹⁶ | <0.1% |
| Government of Iran - Civilians | 2.9 × 10⁻¹⁶ | <0.1% |
| OLA - Civilians | 2.6 × 10⁻¹⁶ | <0.1% |
| Fano - Civilians | 2.3 × 10⁻¹⁶ | <0.1% |
| Fulani - Mwaghavul | 2.3 × 10⁻¹⁶ | <0.1% |
| Anuak - Nuer | 2.3 × 10⁻¹⁶ | <0.1% |
| Djerma (Zherma) - Fulani | 2.1 × 10⁻¹⁶ | <0.1% |
| Fulani - Mwaghavul , Ron | 2.1 × 10⁻¹⁶ | <0.1% |
| Fulani - Tiv | 2.0 × 10⁻¹⁶ | <0.1% |
| Farmers (Nigeria) - Herders (Nigeria) | 1.7 × 10⁻¹⁶ | <0.1% |
| JAS - Civilians | 1.6 × 10⁻¹⁶ | <0.1% |
| Nigeria: Biafra | 1.2 × 10⁻¹⁶ | <0.1% |
| Birom - Fulani | 9.1 × 10⁻¹⁷ | <0.1% |
| Atyap - Fulani | 7.8 × 10⁻¹⁷ | <0.1% |
| Government of eSwatini (Swaziland) - Civilians | 7.6 × 10⁻¹⁷ | <0.1% |
| Karimjo - Wurukum | 7.4 × 10⁻¹⁷ | <0.1% |
| Black Axe - Eyie | 7.0 × 10⁻¹⁷ | <0.1% |
| Forces of Terwase Akwanza - Civilians | 6.1 × 10⁻¹⁷ | <0.1% |
| Amhara - Oromo | 6.0 × 10⁻¹⁷ | <0.1% |
| Fulani - Idoma | 5.7 × 10⁻¹⁷ | <0.1% |
| Fulani - Kuteb | 5.4 × 10⁻¹⁷ | <0.1% |
| Government of Nigeria - Civilians | 3.8 × 10⁻¹⁷ | <0.1% |
| Chain Guys - Full Force | 3.2 × 10⁻¹⁷ | <0.1% |
| Guraghe - Mareqo | 2.7 × 10⁻¹⁷ | <0.1% |
| Hausa - Fulani | 1.8 × 10⁻¹⁷ | <0.1% |
| Murle - Nuer | 1.8 × 10⁻¹⁷ | <0.1% |
| Patani insurgents - Civilians | 1.3 × 10⁻¹⁷ | <0.1% |
| Fulani - Irigwe | 1.3 × 10⁻¹⁷ | <0.1% |
| Somalia: Government | 1.1 × 10⁻¹⁷ | <0.1% |
| Fulani - Igala | 1.1 × 10⁻¹⁷ | <0.1% |
| Greenlanders - NDV | 9.5 × 10⁻¹⁸ | <0.1% |
| Black Axe - Maphite | 9.5 × 10⁻¹⁸ | <0.1% |
| Supporters of APC - Supporters of PDP | 6.3 × 10⁻¹⁸ | <0.1% |
| Amhara - Gumuz | 5.3 × 10⁻¹⁸ | <0.1% |
| Black Axe - SVC | 5.3 × 10⁻¹⁸ | <0.1% |
| IPOB - Civilians | 5.3 × 10⁻¹⁸ | <0.1% |
| Agatu - Fulani | 4.2 × 10⁻¹⁸ | <0.1% |
| IS - Yan Gora | 4.2 × 10⁻¹⁸ | <0.1% |
| Deebam - NDV | 4.2 × 10⁻¹⁸ | <0.1% |
| Jukun - Tiv | 2.1 × 10⁻¹⁸ | <0.1% |
| Supporters of Awami League - Supporters of BNP | 1.7 × 10⁻¹⁸ | <0.1% |
| Cameroon: Ambazonia | 1.1 × 10⁻¹⁸ | <0.1% |
| Ambazonia insurgents - Civilians | 1.1 × 10⁻¹⁸ | <0.1% |
| Supporters of Awami League - Supporters of Jamaat-e-Islami | 8.5 × 10⁻¹⁹ | <0.1% |
| Azerbaijan: Artsakh (Nagorno-Karabakh) | 7.1 × 10⁻²⁰ | <0.1% |
| Total | 6.9 × 10⁻⁸ | = the headline figure, 6.9 × 10⁻⁸ |
5 · The money method: which industries
The figure per €1,000, by the industry where the harm happened, anywhere in the supply chain.
| Industry | Part of the figure | Share |
|---|---|---|
| Mining and quarrying | 1.5 × 10⁻⁶ | 64% |
| Manufacture of basic metals | 4.9 × 10⁻⁷ | 21% |
| Land transport and transport via pipelines | 5.6 × 10⁻⁸ | 2.4% |
| Water transport | 5.2 × 10⁻⁸ | 2.3% |
| Manufacture of electrical equipment | 4.2 × 10⁻⁸ | 1.8% |
| Crop and animal production, hunting and related service activities | 3.9 × 10⁻⁸ | 1.7% |
| Warehousing and support activities for transportation | 2.5 × 10⁻⁸ | 1.1% |
| Air transport | 2.4 × 10⁻⁸ | 1.0% |
| Forestry and logging | 2.1 × 10⁻⁸ | 0.91% |
| Wholesale trade, except of motor vehicles and motorcycles | 1.4 × 10⁻⁸ | 0.59% |
| Manufacture of fabricated metal products, except machinery and equipment | 9.4 × 10⁻⁹ | 0.41% |
| Postal and courier activities | 4.4 × 10⁻⁹ | 0.19% |
| Retail trade, except of motor vehicles and motorcycles | 4.0 × 10⁻⁹ | 0.17% |
| Construction | 3.6 × 10⁻⁹ | 0.16% |
| Sewerage, waste management, remediation activities | 3.6 × 10⁻⁹ | 0.16% |
| Manufacture of other transport equipment | 3.5 × 10⁻⁹ | 0.15% |
| Manufacture of computer, electronic and optical products | 3.1 × 10⁻⁹ | 0.13% |
| Manufacture of chemicals and chemical products | 2.6 × 10⁻⁹ | 0.11% |
| Manufacture of coke and refined petroleum products | 2.5 × 10⁻⁹ | 0.11% |
| Security and investigation, service and landscape, office administrative and support activities | 2.2 × 10⁻⁹ | <0.1% |
| Water collection, treatment and supply | 1.9 × 10⁻⁹ | <0.1% |
| Electricity, gas, steam and air conditioning supply | 1.8 × 10⁻⁹ | <0.1% |
| Manufacture of rubber and plastic products | 1.8 × 10⁻⁹ | <0.1% |
| Rental and leasing activities | 1.5 × 10⁻⁹ | <0.1% |
| Employment activities | 1.3 × 10⁻⁹ | <0.1% |
| Public administration and defence; compulsory social security | 1.3 × 10⁻⁹ | <0.1% |
| Manufacture of machinery and equipment n.e.c. | 1.3 × 10⁻⁹ | <0.1% |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 9.0 × 10⁻¹⁰ | <0.1% |
| Manufacture of motor vehicles, trailers and semi-trailers | 8.7 × 10⁻¹⁰ | <0.1% |
| Legal and accounting activities; activities of head offices; management consultancy activities | 8.4 × 10⁻¹⁰ | <0.1% |
| Manufacture of other non-metallic mineral products | 7.1 × 10⁻¹⁰ | <0.1% |
| Accommodation and food service activities | 6.6 × 10⁻¹⁰ | <0.1% |
| Manufacture of paper and paper products | 5.9 × 10⁻¹⁰ | <0.1% |
| Manufacture of food products; beverages and tobacco products | 4.1 × 10⁻¹⁰ | <0.1% |
| Repair and installation of machinery and equipment | 3.8 × 10⁻¹⁰ | <0.1% |
| Manufacture of textiles, wearing apparel, leather and related products | 3.6 × 10⁻¹⁰ | <0.1% |
| Repair of computers and personal and household goods | 3.1 × 10⁻¹⁰ | <0.1% |
| Architectural and engineering activities; technical testing and analysis | 2.9 × 10⁻¹⁰ | <0.1% |
| Human health activities | 2.9 × 10⁻¹⁰ | <0.1% |
| Advertising and market research | 2.7 × 10⁻¹⁰ | <0.1% |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 2.6 × 10⁻¹⁰ | <0.1% |
| Real estate activities | 2.5 × 10⁻¹⁰ | <0.1% |
| Travel agency, tour operator reservation service and related activities | 2.2 × 10⁻¹⁰ | <0.1% |
| Computer programming, consultancy, and information service activities | 1.9 × 10⁻¹⁰ | <0.1% |
| Activities of membership organisations | 1.8 × 10⁻¹⁰ | <0.1% |
| Other personal service activities | 1.6 × 10⁻¹⁰ | <0.1% |
| Manufacture of furniture; other manufacturing | 1.6 × 10⁻¹⁰ | <0.1% |
| Financial service activities, except insurance and pension funding | 1.4 × 10⁻¹⁰ | <0.1% |
| Printing and reproduction of recorded media | 1.4 × 10⁻¹⁰ | <0.1% |
| Other professional, scientific and technical activities; veterinary activities | 1.2 × 10⁻¹⁰ | <0.1% |
| Fishing and aquaculture | 9.9 × 10⁻¹¹ | <0.1% |
| Telecommunications | 9.0 × 10⁻¹¹ | <0.1% |
| Sports activities and amusement and recreation activities | 8.4 × 10⁻¹¹ | <0.1% |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 8.3 × 10⁻¹¹ | <0.1% |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 6.7 × 10⁻¹¹ | <0.1% |
| Education | 6.7 × 10⁻¹¹ | <0.1% |
| Motion picture, video, television programme production; programming and broadcasting activities | 4.7 × 10⁻¹¹ | <0.1% |
| Activities auxiliary to financial services and insurance activities | 4.0 × 10⁻¹¹ | <0.1% |
| Insurance, reinsurance and pension funding, except compulsory social security | 3.8 × 10⁻¹¹ | <0.1% |
| Scientific research and development | 3.5 × 10⁻¹¹ | <0.1% |
| Publishing activities | 3.2 × 10⁻¹¹ | <0.1% |
| Residential care activities and social work activities without accommodation | 2.4 × 10⁻¹¹ | <0.1% |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 2.9 × 10⁻¹² | <0.1% |
| Total | 2.3 × 10⁻⁶ | = the headline figure, 2.3 × 10⁻⁶ |
6 · The money method: which countries
The figure per €1,000, by the country of the industry where the harm happened.
| Country | Part of the figure | Share |
|---|---|---|
| Not placed | 2.1 × 10⁻⁶ | 90% |
| Mexico | 9.2 × 10⁻⁸ | 4.0% |
| Turkiye | 2.6 × 10⁻⁸ | 1.1% |
| Brazil | 2.0 × 10⁻⁸ | 0.84% |
| Russian Federation | 1.9 × 10⁻⁸ | 0.84% |
| Korea, Rep. | 1.4 × 10⁻⁸ | 0.63% |
| United States | 1.4 × 10⁻⁸ | 0.60% |
| Japan | 9.5 × 10⁻⁹ | 0.41% |
| Germany | 5.6 × 10⁻⁹ | 0.24% |
| France | 5.5 × 10⁻⁹ | 0.24% |
| Canada | 5.4 × 10⁻⁹ | 0.23% |
| India | 4.9 × 10⁻⁹ | 0.21% |
| Italy | 3.7 × 10⁻⁹ | 0.16% |
| Poland | 3.3 × 10⁻⁹ | 0.14% |
| Spain | 3.1 × 10⁻⁹ | 0.13% |
| Romania | 1.5 × 10⁻⁹ | <0.1% |
| Czechia | 1.3 × 10⁻⁹ | <0.1% |
| Bulgaria | 1.2 × 10⁻⁹ | <0.1% |
| Indonesia | 1.1 × 10⁻⁹ | <0.1% |
| Australia | 9.8 × 10⁻¹⁰ | <0.1% |
| Portugal | 9.7 × 10⁻¹⁰ | <0.1% |
| Argentina | 9.5 × 10⁻¹⁰ | <0.1% |
| Austria | 9.2 × 10⁻¹⁰ | <0.1% |
| Hungary | 8.6 × 10⁻¹⁰ | <0.1% |
| Slovenia | 4.6 × 10⁻¹⁰ | <0.1% |
| Sweden | 4.4 × 10⁻¹⁰ | <0.1% |
| Switzerland | 4.3 × 10⁻¹⁰ | <0.1% |
| Greece | 4.1 × 10⁻¹⁰ | <0.1% |
| Slovak Republic | 3.6 × 10⁻¹⁰ | <0.1% |
| Finland | 3.1 × 10⁻¹⁰ | <0.1% |
| Croatia | 3.1 × 10⁻¹⁰ | <0.1% |
| Netherlands | 2.8 × 10⁻¹⁰ | <0.1% |
| Belgium | 2.8 × 10⁻¹⁰ | <0.1% |
| Denmark | 2.6 × 10⁻¹⁰ | <0.1% |
| Lithuania | 2.4 × 10⁻¹⁰ | <0.1% |
| Latvia | 2.3 × 10⁻¹⁰ | <0.1% |
| Norway | 2.3 × 10⁻¹⁰ | <0.1% |
| South Africa | 1.8 × 10⁻¹⁰ | <0.1% |
| Saudi Arabia | 1.7 × 10⁻¹⁰ | <0.1% |
| Ireland | 1.1 × 10⁻¹⁰ | <0.1% |
| Estonia | 9.9 × 10⁻¹¹ | <0.1% |
| United Kingdom | 9.3 × 10⁻¹¹ | <0.1% |
| Luxembourg | 6.3 × 10⁻¹¹ | <0.1% |
| Cyprus | 4.8 × 10⁻¹¹ | <0.1% |
| China | 3.7 × 10⁻¹¹ | <0.1% |
| Malta | 1.1 × 10⁻¹¹ | <0.1% |
| Serbia | 4.6 × 10⁻¹⁴ | <0.1% |
| Total | 2.3 × 10⁻⁶ | = the headline figure, 2.3 × 10⁻⁶ |
What this trail does not show
- Each table is a separate way of dividing the figure. “Cobalt accounts for 40%” and “one country accounts for 60%” are two views of one figure, not a path through it: the calculation stores the figure divided each way on its own, not every combination of them.
- A range belongs to the whole figure. A step’s number is only its middle estimate.
- Production phase only. Harm from using the product — driving the car, charging the phone — is not in this figure.
Sources behind this figure
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HumanToll 2026, run 2259, methodology v1.0. https://quiescence.eu/humantoll/explain/battery-pack/