The full breakdown
How the figure for Smartphone 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 smartphone of 135 g, the average of 12 disassembled models from 2004 to 2015. 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 — 2.5 × 10⁻⁷ per item(1.0–5.3 × 10⁻⁷)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r
Money method — 4.2 × 10⁻⁵ per €1,000 spent in its industry(2.9–6.2 × 10⁻⁵)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 |
|---|---|---|---|---|
| Gold | 7.6 × 10⁻⁹ t | 0.031 | 2.3 × 10⁻⁷ | 93% |
| Copper | 5.7 × 10⁻⁶ t | 1.5 × 10⁻⁶ | 8.3 × 10⁻⁹ | 3.3% |
| Silver | 2.5 × 10⁻⁸ t | 2.6 × 10⁻⁴ | 6.4 × 10⁻⁹ | 2.5% |
| Bauxite | 5.6 × 10⁻⁵ t | 2.4 × 10⁻⁸ | 1.4 × 10⁻⁹ | 0.54% |
| Tin | 5.9 × 10⁻⁷ t | 2.0 × 10⁻⁶ | 1.2 × 10⁻⁹ | 0.48% |
| Nickel | 1.9 × 10⁻⁷ t | 3.8 × 10⁻⁶ | 7.5 × 10⁻¹⁰ | 0.30% |
| Iron ore | 1.0 × 10⁻⁵ t | 3.7 × 10⁻⁸ | 3.8 × 10⁻¹⁰ | 0.15% |
| Coal and lignite | 5.4 × 10⁻⁶ t | 5.9 × 10⁻⁸ | 3.2 × 10⁻¹⁰ | 0.13% |
| Tantalum | 1.9 × 10⁻⁹ t | 5.4 × 10⁻⁵ | 1.0 × 10⁻¹⁰ | <0.1% |
| Zinc | 1.4 × 10⁻⁷ t | 6.7 × 10⁻⁷ | 9.3 × 10⁻¹¹ | <0.1% |
| Total | 2.5 × 10⁻⁷ | = the headline figure, 2.5 × 10⁻⁷ | ||
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 |
|---|---|---|
| Colombia | 6.3 × 10⁻⁸ | 25% |
| Sudan | 4.0 × 10⁻⁸ | 16% |
| Canada | 2.8 × 10⁻⁸ | 11% |
| Argentina | 2.8 × 10⁻⁸ | 11% |
| Burkina Faso | 2.7 × 10⁻⁸ | 11% |
| United States | 2.0 × 10⁻⁸ | 7.9% |
| Australia | 2.0 × 10⁻⁸ | 7.9% |
| Mali | 9.8 × 10⁻⁹ | 3.9% |
| Mexico | 7.4 × 10⁻⁹ | 2.9% |
| Congo, Dem. Rep. | 3.2 × 10⁻⁹ | 1.3% |
| Poland | 2.3 × 10⁻⁹ | 0.93% |
| Sweden | 9.5 × 10⁻¹⁰ | 0.38% |
| Turkiye | 7.6 × 10⁻¹⁰ | 0.30% |
| Myanmar | 5.2 × 10⁻¹⁰ | 0.21% |
| Uzbekistan | 2.4 × 10⁻¹⁰ | <0.1% |
| Brazil | 2.1 × 10⁻¹⁰ | <0.1% |
| Papua New Guinea | 1.5 × 10⁻¹⁰ | <0.1% |
| Germany | 9.3 × 10⁻¹¹ | <0.1% |
| Ukraine | 7.6 × 10⁻¹¹ | <0.1% |
| Finland | 6.7 × 10⁻¹¹ | <0.1% |
| Nigeria | 6.7 × 10⁻¹¹ | <0.1% |
| Ghana | 4.9 × 10⁻¹¹ | <0.1% |
| Portugal | 4.4 × 10⁻¹¹ | <0.1% |
| Russian Federation | 2.9 × 10⁻¹¹ | <0.1% |
| Indonesia | 1.9 × 10⁻¹¹ | <0.1% |
| Greece | 1.7 × 10⁻¹¹ | <0.1% |
| Peru | 1.5 × 10⁻¹¹ | <0.1% |
| Ireland | 1.4 × 10⁻¹¹ | <0.1% |
| Philippines | 1.1 × 10⁻¹¹ | <0.1% |
| Thailand | 8.3 × 10⁻¹² | <0.1% |
| Czechia | 7.9 × 10⁻¹² | <0.1% |
| Ethiopia | 4.1 × 10⁻¹² | <0.1% |
| South Africa | 3.1 × 10⁻¹² | <0.1% |
| India | 2.8 × 10⁻¹² | <0.1% |
| Slovenia | 1.9 × 10⁻¹² | <0.1% |
| Mozambique | 1.0 × 10⁻¹² | <0.1% |
| Hungary | 9.8 × 10⁻¹³ | <0.1% |
| Bulgaria | 5.8 × 10⁻¹³ | <0.1% |
| Bolivia | 3.8 × 10⁻¹³ | <0.1% |
| Guatemala | 2.7 × 10⁻¹³ | <0.1% |
| Slovak Republic | 2.7 × 10⁻¹³ | <0.1% |
| Romania | 2.3 × 10⁻¹³ | <0.1% |
| Uganda | 1.9 × 10⁻¹³ | <0.1% |
| Mongolia | 1.8 × 10⁻¹³ | <0.1% |
| Japan | 1.8 × 10⁻¹³ | <0.1% |
| Burundi | 1.2 × 10⁻¹³ | <0.1% |
| China | 9.9 × 10⁻¹⁴ | <0.1% |
| Venezuela, RB | 4.5 × 10⁻¹⁴ | <0.1% |
| Pakistan | 4.5 × 10⁻¹⁴ | <0.1% |
| Mauritania | 4.5 × 10⁻¹⁴ | <0.1% |
| Niger | 2.0 × 10⁻¹⁴ | <0.1% |
| Iran, Islamic Rep. | 2.0 × 10⁻¹⁴ | <0.1% |
| Afghanistan | 1.8 × 10⁻¹⁴ | <0.1% |
| Georgia | 9.0 × 10⁻¹⁵ | <0.1% |
| Saudi Arabia | 8.1 × 10⁻¹⁵ | <0.1% |
| Norway | 1.6 × 10⁻¹⁵ | <0.1% |
| Eswatini | 3.6 × 10⁻¹⁶ | <0.1% |
| Bangladesh | 4.8 × 10⁻¹⁷ | <0.1% |
| Armenia | 3.4 × 10⁻¹⁹ | <0.1% |
| Total | 2.5 × 10⁻⁷ | = the headline figure, 2.5 × 10⁻⁷ |
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 |
|---|---|---|
| Work | 1.6 × 10⁻⁷ | 65% |
| Conflict and political violence | 8.9 × 10⁻⁸ | 35% |
| Total | 2.5 × 10⁻⁷ | = the headline figure, 2.5 × 10⁻⁷ |
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 |
|---|---|---|
| Not placed | 1.6 × 10⁻⁷ | 65% |
| Sudan: Government | 3.4 × 10⁻⁸ | 13% |
| Burkina Faso: Government | 1.8 × 10⁻⁸ | 7.1% |
| RSF - Civilians | 4.7 × 10⁻⁹ | 1.9% |
| Mali: Government | 4.3 × 10⁻⁹ | 1.7% |
| Burkina Faso: Islamic State | 3.7 × 10⁻⁹ | 1.5% |
| Jalisco Cartel New Generation - Sinaloa Cartel | 3.6 × 10⁻⁹ | 1.4% |
| JNIM - Civilians | 3.6 × 10⁻⁹ | 1.4% |
| IS - Civilians | 2.0 × 10⁻⁹ | 0.79% |
| IS - JNIM | 1.8 × 10⁻⁹ | 0.70% |
| Government of Burkina Faso - Civilians | 1.3 × 10⁻⁹ | 0.53% |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 1.1 × 10⁻⁹ | 0.43% |
| Juarez Cartel - Sinaloa Cartel | 9.7 × 10⁻¹⁰ | 0.38% |
| Government of Mali - Civilians | 8.9 × 10⁻¹⁰ | 0.35% |
| Mali: Islamic State | 8.9 × 10⁻¹⁰ | 0.35% |
| Mali: Government/Azawad | 7.4 × 10⁻¹⁰ | 0.30% |
| Carteles Unidos - Jalisco Cartel New Generation | 7.3 × 10⁻¹⁰ | 0.29% |
| URDPC - Civilians | 5.7 × 10⁻¹⁰ | 0.22% |
| Beni Halba Baggara - Salamat Baggara | 5.1 × 10⁻¹⁰ | 0.20% |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 4.2 × 10⁻¹⁰ | 0.17% |
| Lengola - Mbole | 3.7 × 10⁻¹⁰ | 0.15% |
| Dan na Ambassagou - JNIM | 3.7 × 10⁻¹⁰ | 0.15% |
| Habaniya - Salamat Baggara | 3.6 × 10⁻¹⁰ | 0.14% |
| Myanmar (Burma): Government | 2.9 × 10⁻¹⁰ | 0.11% |
| DR Congo (Zaire): Islamic State | 2.6 × 10⁻¹⁰ | 0.10% |
| Arab - Gimir | 2.6 × 10⁻¹⁰ | 0.10% |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 1.8 × 10⁻¹⁰ | <0.1% |
| M23 - VDP | 1.6 × 10⁻¹⁰ | <0.1% |
| Mobondo - Civilians | 1.6 × 10⁻¹⁰ | <0.1% |
| Ambulin, Lungupin, Nenei, Sau, Sau Walep, Yandamau, Yopo - Kaekin, Lanzerakin, Lyona, Mupapalu, Murap, Palinau, Sakaikin, Sikin, Wapukin | 1.5 × 10⁻¹⁰ | <0.1% |
| DR Congo (Zaire): Government | 1.3 × 10⁻¹⁰ | <0.1% |
| M23 - Civilians | 1.2 × 10⁻¹⁰ | <0.1% |
| Colombia: Government | 1.2 × 10⁻¹⁰ | <0.1% |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 1.2 × 10⁻¹⁰ | <0.1% |
| Twic Dinka - Ngok Dinka | 1.1 × 10⁻¹⁰ | <0.1% |
| Rwanda: Government | 1.1 × 10⁻¹⁰ | <0.1% |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 1.1 × 10⁻¹⁰ | <0.1% |
| Government of DR Congo (Zaire) - Civilians | 1.0 × 10⁻¹⁰ | <0.1% |
| Dozos (Mali) - JNIM | 1.0 × 10⁻¹⁰ | <0.1% |
| Government of Myanmar (Burma) - Civilians | 1.0 × 10⁻¹⁰ | <0.1% |
| Russia - Ukraine | 8.5 × 10⁻¹¹ | <0.1% |
| Arab - Masalit | 8.0 × 10⁻¹¹ | <0.1% |
| Los Ardillos - Los Tlacos | 7.7 × 10⁻¹¹ | <0.1% |
| Government of Rwanda - Civilians | 6.1 × 10⁻¹¹ | <0.1% |
| Comando Vermelho - PCC | 6.0 × 10⁻¹¹ | <0.1% |
| Dozos (Mali) - Civilians | 5.7 × 10⁻¹¹ | <0.1% |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 5.6 × 10⁻¹¹ | <0.1% |
| EGC - Civilians | 5.3 × 10⁻¹¹ | <0.1% |
| URDPC - Zaire self-defense group | 5.1 × 10⁻¹¹ | <0.1% |
| Hausa - Nuba | 5.1 × 10⁻¹¹ | <0.1% |
| Myanmar (Burma): Kachin | 4.9 × 10⁻¹¹ | <0.1% |
| Kusasi - Mamprusi | 4.9 × 10⁻¹¹ | <0.1% |
| Zaire self-defense group - Civilians | 4.5 × 10⁻¹¹ | <0.1% |
| VDP - Civilians | 4.3 × 10⁻¹¹ | <0.1% |
| Dan na Ambassagou - Civilians | 3.5 × 10⁻¹¹ | <0.1% |
| FPIC Chambre noire sanduku - URDPC | 3.4 × 10⁻¹¹ | <0.1% |
| FPIC Chambre noire sanduku - Civilians | 3.3 × 10⁻¹¹ | <0.1% |
| Myanmar (Burma): Karen | 3.2 × 10⁻¹¹ | <0.1% |
| FARC-EMC - Civilians | 2.8 × 10⁻¹¹ | <0.1% |
| Nigeria: Islamic State | 2.6 × 10⁻¹¹ | <0.1% |
| GATIA - IS | 2.6 × 10⁻¹¹ | <0.1% |
| Myanmar (Burma): Karenni | 2.5 × 10⁻¹¹ | <0.1% |
| AFC - Civilians | 2.4 × 10⁻¹¹ | <0.1% |
| AFP-Gutabara - CNPSC, FABB | 2.2 × 10⁻¹¹ | <0.1% |
| Bonde do Maluco - Comando Vermelho | 2.2 × 10⁻¹¹ | <0.1% |
| Hawazma - Nuba | 2.0 × 10⁻¹¹ | <0.1% |
| Cartel do Norte - Comando Vermelho | 2.0 × 10⁻¹¹ | <0.1% |
| Russia (Soviet Union): Government | 1.9 × 10⁻¹¹ | <0.1% |
| Hausa - Funj | 1.8 × 10⁻¹¹ | <0.1% |
| FARC-EMC - ELN | 1.8 × 10⁻¹¹ | <0.1% |
| Government of Sudan - Civilians | 1.6 × 10⁻¹¹ | <0.1% |
| Los Rusos, UPOEG - Los Tlacos | 1.6 × 10⁻¹¹ | <0.1% |
| Peru: Government | 1.5 × 10⁻¹¹ | <0.1% |
| Jalisco Cartel New Generation - Civilians | 1.4 × 10⁻¹¹ | <0.1% |
| Bonde dos 40 - PCC | 1.4 × 10⁻¹¹ | <0.1% |
| Myanmar (Burma): Arakan | 1.3 × 10⁻¹¹ | <0.1% |
| Jalisco Cartel New Generation - Pájaros Sierra | 1.3 × 10⁻¹¹ | <0.1% |
| IS - MSA | 1.3 × 10⁻¹¹ | <0.1% |
| Indonesia: West Papua | 1.2 × 10⁻¹¹ | <0.1% |
| FARC - Segunda Marquetalia - Civilians | 1.2 × 10⁻¹¹ | <0.1% |
| ELN - Civilians | 1.1 × 10⁻¹¹ | <0.1% |
| Government of Mexico - Civilians | 1.1 × 10⁻¹¹ | <0.1% |
| Comando Vermelho - GDE | 1.1 × 10⁻¹¹ | <0.1% |
| Nova Okaida - Estados Unidos | 1.1 × 10⁻¹¹ | <0.1% |
| GDE, PCC - Sindicato do Crime | 1.0 × 10⁻¹¹ | <0.1% |
| Los Ardillos - Los Rojos | 9.6 × 10⁻¹² | <0.1% |
| Los Costenos - Los Pepes | 9.6 × 10⁻¹² | <0.1% |
| EGC - ELN, FARC-EMC | 9.3 × 10⁻¹² | <0.1% |
| PCC - Sindicato do Crime | 9.2 × 10⁻¹² | <0.1% |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 9.1 × 10⁻¹² | <0.1% |
| Amigos Para Sempre - Família Terror Amapá | 9.1 × 10⁻¹² | <0.1% |
| EGC - ELN | 8.9 × 10⁻¹² | <0.1% |
| Myanmar (Burma): Kokang | 8.2 × 10⁻¹² | <0.1% |
| AFP-Gutabara - FABB | 8.2 × 10⁻¹² | <0.1% |
| Comando Vermelho - Civilians | 7.6 × 10⁻¹² | <0.1% |
| Philippines: Government | 6.8 × 10⁻¹² | <0.1% |
| FRPI - Civilians | 6.7 × 10⁻¹² | <0.1% |
| IS - JAS | 6.3 × 10⁻¹² | <0.1% |
| Bonde dos 13, PCC - Comando Vermelho | 5.9 × 10⁻¹² | <0.1% |
| OPM - Civilians | 5.8 × 10⁻¹² | <0.1% |
| Bonde dos 40 - Comando Vermelho | 5.5 × 10⁻¹² | <0.1% |
| Burundi: Government | 5.3 × 10⁻¹² | <0.1% |
| Basonge - Bena Nkoma (Bakwa Luntu, Luba) | 4.5 × 10⁻¹² | <0.1% |
| Misseriya - Ngok Dinka | 4.1 × 10⁻¹² | <0.1% |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 3.9 × 10⁻¹² | <0.1% |
| Comando Vermelho - Holanda | 3.9 × 10⁻¹² | <0.1% |
| FDLR-FOCA - Civilians | 3.7 × 10⁻¹² | <0.1% |
| FPIC Chambre noire sanduku - FRPI | 3.7 × 10⁻¹² | <0.1% |
| Fulani - Mwaghavul | 3.7 × 10⁻¹² | <0.1% |
| Fulani - Mwaghavul , Ron | 3.4 × 10⁻¹² | <0.1% |
| Philippines: Islamic State | 3.3 × 10⁻¹² | <0.1% |
| Nigeria: Government | 3.3 × 10⁻¹² | <0.1% |
| Fulani - Tiv | 3.2 × 10⁻¹² | <0.1% |
| Gulf Cartel - Sinaloa Cartel | 3.2 × 10⁻¹² | <0.1% |
| Gulf Cartel - Jalisco Cartel New Generation | 3.2 × 10⁻¹² | <0.1% |
| Government of Colombia - Civilians | 3.2 × 10⁻¹² | <0.1% |
| Mayi Mayi Chini ya Tuna - Civilians | 3.0 × 10⁻¹² | <0.1% |
| Comando Vermelho - Massa | 2.9 × 10⁻¹² | <0.1% |
| Nova Okaida - PCC | 2.9 × 10⁻¹² | <0.1% |
| Farmers (Nigeria) - Herders (Nigeria) | 2.8 × 10⁻¹² | <0.1% |
| Bonde do Maluco - Katiara | 2.7 × 10⁻¹² | <0.1% |
| Bonde do Maluco - Civilians | 2.7 × 10⁻¹² | <0.1% |
| NUG - Civilians | 2.5 × 10⁻¹² | <0.1% |
| South Sudan: Government | 2.2 × 10⁻¹² | <0.1% |
| Luba - Batwa | 2.2 × 10⁻¹² | <0.1% |
| Government of Papua New Guinea - Civilians | 2.2 × 10⁻¹² | <0.1% |
| Ethiopia: Government/Amhara | 2.1 × 10⁻¹² | <0.1% |
| Bonde dos 40 - Civilians | 2.1 × 10⁻¹² | <0.1% |
| Comando Vermelho - Terceiro Comando Puro | 2.0 × 10⁻¹² | <0.1% |
| Nigeria: Biafra | 2.0 × 10⁻¹² | <0.1% |
| CATA - Codeta | 1.9 × 10⁻¹² | <0.1% |
| PCC - Civilians | 1.5 × 10⁻¹² | <0.1% |
| Birom - Fulani | 1.5 × 10⁻¹² | <0.1% |
| Government of Indonesia - Civilians | 1.4 × 10⁻¹² | <0.1% |
| Comandos de la Frontera - Civilians | 1.4 × 10⁻¹² | <0.1% |
| Ajeita - Bonde do Maluco | 1.3 × 10⁻¹² | <0.1% |
| Atyap - Fulani | 1.3 × 10⁻¹² | <0.1% |
| Government of South Africa - Civilians | 1.3 × 10⁻¹² | <0.1% |
| Karimjo - Wurukum | 1.2 × 10⁻¹² | <0.1% |
| Black Axe - Eyie | 1.1 × 10⁻¹² | <0.1% |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 1.1 × 10⁻¹² | <0.1% |
| Government of Brazil - Civilians | 1.0 × 10⁻¹² | <0.1% |
| Forces of Terwase Akwanza - Civilians | 9.9 × 10⁻¹³ | <0.1% |
| Russia: Islamic State | 9.7 × 10⁻¹³ | <0.1% |
| Anti-Bala - Bala na Cara | 9.3 × 10⁻¹³ | <0.1% |
| Fulani - Idoma | 9.2 × 10⁻¹³ | <0.1% |
| Fulani - Kuteb | 8.7 × 10⁻¹³ | <0.1% |
| Bonde dos 40 - PCM | 8.4 × 10⁻¹³ | <0.1% |
| India: Kashmir | 8.1 × 10⁻¹³ | <0.1% |
| Ethiopia: Oromiya | 7.9 × 10⁻¹³ | <0.1% |
| Government of Burundi - Civilians | 7.8 × 10⁻¹³ | <0.1% |
| DR Congo (Zaire): Katanga | 7.5 × 10⁻¹³ | <0.1% |
| Government of Uganda - Civilians | 7.5 × 10⁻¹³ | <0.1% |
| Twiganeho - Civilians | 7.5 × 10⁻¹³ | <0.1% |
| AFC - VDP | 7.5 × 10⁻¹³ | <0.1% |
| Los Costenos - Civilians | 7.1 × 10⁻¹³ | <0.1% |
| Kuki - Meitei | 6.9 × 10⁻¹³ | <0.1% |
| CPP - Civilians | 6.7 × 10⁻¹³ | <0.1% |
| India: Government | 6.5 × 10⁻¹³ | <0.1% |
| Mozambique: Islamic State | 6.5 × 10⁻¹³ | <0.1% |
| Government of Nigeria - Civilians | 6.1 × 10⁻¹³ | <0.1% |
| JAS - Civilians | 5.8 × 10⁻¹³ | <0.1% |
| Guerreros Unidos - Los Tlacos | 5.4 × 10⁻¹³ | <0.1% |
| Chain Guys - Full Force | 5.1 × 10⁻¹³ | <0.1% |
| Government of Russia (Soviet Union) - Civilians | 4.8 × 10⁻¹³ | <0.1% |
| Russia (Soviet Union): Chechnya | 3.9 × 10⁻¹³ | <0.1% |
| Myanmar (Burma): Shan | 3.4 × 10⁻¹³ | <0.1% |
| Turkey: Kurdistan | 3.3 × 10⁻¹³ | <0.1% |
| Government of Ethiopia - Civilians | 3.3 × 10⁻¹³ | <0.1% |
| CPI-Maoist - Civilians | 2.9 × 10⁻¹³ | <0.1% |
| Hausa - Fulani | 2.9 × 10⁻¹³ | <0.1% |
| OLA - Civilians | 2.5 × 10⁻¹³ | <0.1% |
| Fano - Civilians | 2.2 × 10⁻¹³ | <0.1% |
| Anuak - Nuer | 2.2 × 10⁻¹³ | <0.1% |
| Fulani - Irigwe | 2.0 × 10⁻¹³ | <0.1% |
| Fulani - Igala | 1.7 × 10⁻¹³ | <0.1% |
| ARSA - Civilians | 1.7 × 10⁻¹³ | <0.1% |
| M18 - MS-13 | 1.6 × 10⁻¹³ | <0.1% |
| Greenlanders - NDV | 1.5 × 10⁻¹³ | <0.1% |
| Black Axe - Maphite | 1.5 × 10⁻¹³ | <0.1% |
| Kashmir insurgents - Civilians | 1.3 × 10⁻¹³ | <0.1% |
| IS - Naparama | 1.1 × 10⁻¹³ | <0.1% |
| Supporters of APC - Supporters of PDP | 1.0 × 10⁻¹³ | <0.1% |
| Black Axe - SVC | 8.5 × 10⁻¹⁴ | <0.1% |
| IPOB - Civilians | 8.5 × 10⁻¹⁴ | <0.1% |
| Amigos dos Amigos - Comando Vermelho | 8.4 × 10⁻¹⁴ | <0.1% |
| FDN - PCC | 8.4 × 10⁻¹⁴ | <0.1% |
| Philippines: Mindanao | 8.3 × 10⁻¹⁴ | <0.1% |
| Government of Philippines - Civilians | 8.3 × 10⁻¹⁴ | <0.1% |
| Agatu - Fulani | 6.8 × 10⁻¹⁴ | <0.1% |
| IS - Yan Gora | 6.8 × 10⁻¹⁴ | <0.1% |
| Deebam - NDV | 6.8 × 10⁻¹⁴ | <0.1% |
| MS-13 - Civilians | 5.8 × 10⁻¹⁴ | <0.1% |
| Amhara - Oromo | 5.8 × 10⁻¹⁴ | <0.1% |
| Hindus (India) - Muslims (India) | 5.4 × 10⁻¹⁴ | <0.1% |
| Uganda: Islamic State | 5.2 × 10⁻¹⁴ | <0.1% |
| Government of Mozambique - Civilians | 4.8 × 10⁻¹⁴ | <0.1% |
| Government of India - Civilians | 4.7 × 10⁻¹⁴ | <0.1% |
| M18 - Civilians | 4.7 × 10⁻¹⁴ | <0.1% |
| Mauritania: Government | 4.5 × 10⁻¹⁴ | <0.1% |
| Government of Venezuela - Civilians | 3.7 × 10⁻¹⁴ | <0.1% |
| Jukun - Tiv | 3.4 × 10⁻¹⁴ | <0.1% |
| Pakistan: Government | 3.3 × 10⁻¹⁴ | <0.1% |
| India: Western South East Asia | 2.7 × 10⁻¹⁴ | <0.1% |
| Guraghe - Mareqo | 2.6 × 10⁻¹⁴ | <0.1% |
| Murle - Nuer | 1.7 × 10⁻¹⁴ | <0.1% |
| Cameroon: Ambazonia | 1.7 × 10⁻¹⁴ | <0.1% |
| Ambazonia insurgents - Civilians | 1.7 × 10⁻¹⁴ | <0.1% |
| Iran: Government | 1.6 × 10⁻¹⁴ | <0.1% |
| VHP - Civilians | 1.4 × 10⁻¹⁴ | <0.1% |
| Somalia: Government | 1.0 × 10⁻¹⁴ | <0.1% |
| Thailand: Patani | 9.4 × 10⁻¹⁵ | <0.1% |
| Niger: Islamic State | 9.2 × 10⁻¹⁵ | <0.1% |
| Yemen (North Yemen): Government | 8.1 × 10⁻¹⁵ | <0.1% |
| Afghanistan: Islamic State | 8.0 × 10⁻¹⁵ | <0.1% |
| India - Pakistan | 6.8 × 10⁻¹⁵ | <0.1% |
| India: Nagaland | 6.8 × 10⁻¹⁵ | <0.1% |
| NSCN-IM - Civilians | 6.8 × 10⁻¹⁵ | <0.1% |
| PLFI - Civilians | 6.8 × 10⁻¹⁵ | <0.1% |
| PKK - Civilians | 6.3 × 10⁻¹⁵ | <0.1% |
| Amhara - Gumuz | 5.1 × 10⁻¹⁵ | <0.1% |
| Pakistan: Balochistan | 4.2 × 10⁻¹⁵ | <0.1% |
| Pakistan: Islamic State | 3.3 × 10⁻¹⁵ | <0.1% |
| Afghanistan: Government | 2.8 × 10⁻¹⁵ | <0.1% |
| Government of Afghanistan - Civilians | 2.1 × 10⁻¹⁵ | <0.1% |
| Iran: Islamic State | 1.8 × 10⁻¹⁵ | <0.1% |
| Niger: Government | 1.8 × 10⁻¹⁵ | <0.1% |
| Government of Iran - Civilians | 1.4 × 10⁻¹⁵ | <0.1% |
| Shia (Pakistan) - Sunni (Pakistan) | 1.1 × 10⁻¹⁵ | <0.1% |
| Djerma (Zherma) - Fulani | 1.0 × 10⁻¹⁵ | <0.1% |
| RED-TABARA - Civilians | 9.3 × 10⁻¹⁶ | <0.1% |
| Afghanistan - Pakistan | 8.1 × 10⁻¹⁶ | <0.1% |
| BRAS - Civilians | 4.6 × 10⁻¹⁶ | <0.1% |
| Government of eSwatini (Swaziland) - Civilians | 3.6 × 10⁻¹⁶ | <0.1% |
| Patani insurgents - Civilians | 3.1 × 10⁻¹⁶ | <0.1% |
| TTP - Civilians | 2.7 × 10⁻¹⁶ | <0.1% |
| Government of Pakistan - Civilians | 2.4 × 10⁻¹⁶ | <0.1% |
| LeJ - Civilians | 3.8 × 10⁻¹⁷ | <0.1% |
| Supporters of Awami League - Supporters of BNP | 8.0 × 10⁻¹⁸ | <0.1% |
| Supporters of Awami League - Supporters of Jamaat-e-Islami | 4.0 × 10⁻¹⁸ | <0.1% |
| Azerbaijan: Artsakh (Nagorno-Karabakh) | 3.4 × 10⁻¹⁹ | <0.1% |
| Total | 2.5 × 10⁻⁷ | = the headline figure, 2.5 × 10⁻⁷ |
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 |
|---|---|---|
| Manufacture of computer, electronic and optical products | 1.8 × 10⁻⁵ | 42% |
| Mining and quarrying | 3.3 × 10⁻⁶ | 7.7% |
| Wholesale trade, except of motor vehicles and motorcycles | 3.2 × 10⁻⁶ | 7.7% |
| Manufacture of basic metals | 1.7 × 10⁻⁶ | 4.1% |
| Land transport and transport via pipelines | 1.2 × 10⁻⁶ | 2.9% |
| Warehousing and support activities for transportation | 1.1 × 10⁻⁶ | 2.6% |
| Security and investigation, service and landscape, office administrative and support activities | 1.1 × 10⁻⁶ | 2.6% |
| Rental and leasing activities | 1.1 × 10⁻⁶ | 2.5% |
| Water transport | 8.9 × 10⁻⁷ | 2.1% |
| Retail trade, except of motor vehicles and motorcycles | 8.3 × 10⁻⁷ | 2.0% |
| Manufacture of chemicals and chemical products | 7.8 × 10⁻⁷ | 1.9% |
| Employment activities | 7.8 × 10⁻⁷ | 1.9% |
| Manufacture of electrical equipment | 7.3 × 10⁻⁷ | 1.7% |
| Air transport | 5.7 × 10⁻⁷ | 1.3% |
| Construction | 5.5 × 10⁻⁷ | 1.3% |
| Manufacture of fabricated metal products, except machinery and equipment | 5.0 × 10⁻⁷ | 1.2% |
| Legal and accounting activities; activities of head offices; management consultancy activities | 4.6 × 10⁻⁷ | 1.1% |
| Manufacture of rubber and plastic products | 4.2 × 10⁻⁷ | 0.99% |
| Manufacture of machinery and equipment n.e.c. | 3.9 × 10⁻⁷ | 0.93% |
| Accommodation and food service activities | 3.9 × 10⁻⁷ | 0.92% |
| Crop and animal production, hunting and related service activities | 3.6 × 10⁻⁷ | 0.86% |
| Manufacture of coke and refined petroleum products | 3.5 × 10⁻⁷ | 0.83% |
| Sewerage, waste management, remediation activities | 3.2 × 10⁻⁷ | 0.77% |
| Postal and courier activities | 2.7 × 10⁻⁷ | 0.64% |
| Manufacture of motor vehicles, trailers and semi-trailers | 2.6 × 10⁻⁷ | 0.61% |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 2.5 × 10⁻⁷ | 0.59% |
| Manufacture of other non-metallic mineral products | 2.2 × 10⁻⁷ | 0.52% |
| Manufacture of food products; beverages and tobacco products | 1.7 × 10⁻⁷ | 0.41% |
| Manufacture of paper and paper products | 1.6 × 10⁻⁷ | 0.39% |
| Human health activities | 1.6 × 10⁻⁷ | 0.38% |
| Architectural and engineering activities; technical testing and analysis | 1.5 × 10⁻⁷ | 0.36% |
| Public administration and defence; compulsory social security | 1.4 × 10⁻⁷ | 0.33% |
| Repair and installation of machinery and equipment | 1.4 × 10⁻⁷ | 0.33% |
| Travel agency, tour operator reservation service and related activities | 1.2 × 10⁻⁷ | 0.29% |
| Manufacture of textiles, wearing apparel, leather and related products | 1.2 × 10⁻⁷ | 0.28% |
| Forestry and logging | 1.1 × 10⁻⁷ | 0.25% |
| Computer programming, consultancy, and information service activities | 9.9 × 10⁻⁸ | 0.23% |
| Manufacture of other transport equipment | 9.7 × 10⁻⁸ | 0.23% |
| Advertising and market research | 9.1 × 10⁻⁸ | 0.22% |
| Electricity, gas, steam and air conditioning supply | 8.6 × 10⁻⁸ | 0.20% |
| Manufacture of furniture; other manufacturing | 8.5 × 10⁻⁸ | 0.20% |
| Financial service activities, except insurance and pension funding | 7.9 × 10⁻⁸ | 0.19% |
| Repair of computers and personal and household goods | 6.4 × 10⁻⁸ | 0.15% |
| Water collection, treatment and supply | 6.3 × 10⁻⁸ | 0.15% |
| Other professional, scientific and technical activities; veterinary activities | 6.2 × 10⁻⁸ | 0.15% |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 5.7 × 10⁻⁸ | 0.13% |
| Real estate activities | 5.5 × 10⁻⁸ | 0.13% |
| Printing and reproduction of recorded media | 5.1 × 10⁻⁸ | 0.12% |
| Activities of membership organisations | 5.1 × 10⁻⁸ | 0.12% |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 5.0 × 10⁻⁸ | 0.12% |
| Education | 5.0 × 10⁻⁸ | 0.12% |
| Other personal service activities | 4.2 × 10⁻⁸ | 0.10% |
| Telecommunications | 4.2 × 10⁻⁸ | 0.10% |
| Scientific research and development | 4.0 × 10⁻⁸ | <0.1% |
| Sports activities and amusement and recreation activities | 3.8 × 10⁻⁸ | <0.1% |
| Residential care activities and social work activities without accommodation | 3.1 × 10⁻⁸ | <0.1% |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 2.4 × 10⁻⁸ | <0.1% |
| Insurance, reinsurance and pension funding, except compulsory social security | 2.2 × 10⁻⁸ | <0.1% |
| Activities auxiliary to financial services and insurance activities | 1.9 × 10⁻⁸ | <0.1% |
| Publishing activities | 1.8 × 10⁻⁸ | <0.1% |
| Motion picture, video, television programme production; programming and broadcasting activities | 1.4 × 10⁻⁸ | <0.1% |
| Fishing and aquaculture | 5.6 × 10⁻⁹ | <0.1% |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 3.7 × 10⁻¹¹ | <0.1% |
| Total | 4.2 × 10⁻⁵ | = the headline figure, 4.2 × 10⁻⁵ |
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 | 1.6 × 10⁻⁵ | 38% |
| Germany | 6.2 × 10⁻⁶ | 15% |
| United States | 3.0 × 10⁻⁶ | 7.2% |
| Turkiye | 3.0 × 10⁻⁶ | 7.1% |
| France | 2.4 × 10⁻⁶ | 5.6% |
| Switzerland | 1.8 × 10⁻⁶ | 4.3% |
| Japan | 1.4 × 10⁻⁶ | 3.4% |
| Spain | 1.2 × 10⁻⁶ | 2.8% |
| Italy | 1.1 × 10⁻⁶ | 2.6% |
| Argentina | 7.0 × 10⁻⁷ | 1.7% |
| Canada | 6.8 × 10⁻⁷ | 1.6% |
| Portugal | 5.4 × 10⁻⁷ | 1.3% |
| Netherlands | 4.3 × 10⁻⁷ | 1.0% |
| Poland | 4.2 × 10⁻⁷ | 1.0% |
| Ireland | 4.0 × 10⁻⁷ | 0.95% |
| Australia | 3.8 × 10⁻⁷ | 0.90% |
| Hungary | 3.7 × 10⁻⁷ | 0.88% |
| Austria | 3.7 × 10⁻⁷ | 0.87% |
| Czechia | 3.5 × 10⁻⁷ | 0.82% |
| Finland | 2.4 × 10⁻⁷ | 0.58% |
| Denmark | 2.2 × 10⁻⁷ | 0.51% |
| Belgium | 2.1 × 10⁻⁷ | 0.50% |
| Sweden | 1.9 × 10⁻⁷ | 0.45% |
| Mexico | 1.2 × 10⁻⁷ | 0.29% |
| Slovenia | 9.0 × 10⁻⁸ | 0.21% |
| Estonia | 7.0 × 10⁻⁸ | 0.17% |
| Slovak Republic | 6.6 × 10⁻⁸ | 0.16% |
| Norway | 5.0 × 10⁻⁸ | 0.12% |
| Lithuania | 3.4 × 10⁻⁸ | <0.1% |
| Brazil | 2.7 × 10⁻⁸ | <0.1% |
| Malta | 2.7 × 10⁻⁸ | <0.1% |
| Croatia | 2.6 × 10⁻⁸ | <0.1% |
| Luxembourg | 2.4 × 10⁻⁸ | <0.1% |
| Latvia | 2.0 × 10⁻⁸ | <0.1% |
| Romania | 1.7 × 10⁻⁸ | <0.1% |
| Russian Federation | 1.6 × 10⁻⁸ | <0.1% |
| Greece | 1.6 × 10⁻⁸ | <0.1% |
| Bulgaria | 1.3 × 10⁻⁸ | <0.1% |
| India | 3.3 × 10⁻⁹ | <0.1% |
| Cyprus | 3.1 × 10⁻⁹ | <0.1% |
| Indonesia | 1.8 × 10⁻⁹ | <0.1% |
| Saudi Arabia | 3.0 × 10⁻¹⁰ | <0.1% |
| South Africa | 2.0 × 10⁻¹⁰ | <0.1% |
| United Kingdom | 1.5 × 10⁻¹⁰ | <0.1% |
| China | 7.3 × 10⁻¹¹ | <0.1% |
| Korea, Rep. | 7.0 × 10⁻¹¹ | <0.1% |
| Serbia | 5.2 × 10⁻¹⁴ | <0.1% |
| Total | 4.2 × 10⁻⁵ | = the headline figure, 4.2 × 10⁻⁵ |
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/smartphone/