The full breakdown
How the figure for Coffee, one cup 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 Italian espresso — 25 mL in the cup — as the Istituto Nazionale Espresso Italiano defines it. 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 — 1.6 × 10⁻⁸ per item(0.62–4.0 × 10⁻⁸)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r
Money method — 1.1 × 10⁻⁴ per €1,000 spent in its industry(0.78–1.6 × 10⁻⁴)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 |
|---|---|---|---|---|
| Coffee | 8.3 × 10⁻⁶ t | 1.9 × 10⁻⁶ | 1.6 × 10⁻⁸ | 100% |
| Total | 1.6 × 10⁻⁸ | = the headline figure, 1.6 × 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 |
|---|---|---|
| Colombia | 1.4 × 10⁻⁸ | 91% |
| Ethiopia | 5.1 × 10⁻¹⁰ | 3.3% |
| Central African Republic | 4.2 × 10⁻¹⁰ | 2.7% |
| Brazil | 1.1 × 10⁻¹⁰ | 0.69% |
| Honduras | 8.4 × 10⁻¹¹ | 0.54% |
| United States | 7.3 × 10⁻¹¹ | 0.47% |
| Congo, Dem. Rep. | 5.2 × 10⁻¹¹ | 0.33% |
| Thailand | 3.7 × 10⁻¹¹ | 0.23% |
| Yemen, Rep. | 2.8 × 10⁻¹¹ | 0.18% |
| Uganda | 2.3 × 10⁻¹¹ | 0.15% |
| Haiti | 1.9 × 10⁻¹¹ | 0.12% |
| St. Vincent and the Grenadines | 1.8 × 10⁻¹¹ | 0.12% |
| Cameroon | 1.6 × 10⁻¹¹ | 0.10% |
| Mexico | 1.4 × 10⁻¹¹ | <0.1% |
| Kenya | 1.2 × 10⁻¹¹ | <0.1% |
| Togo | 8.4 × 10⁻¹² | <0.1% |
| Burundi | 7.4 × 10⁻¹² | <0.1% |
| Myanmar | 5.2 × 10⁻¹² | <0.1% |
| Sri Lanka | 4.1 × 10⁻¹² | <0.1% |
| Guatemala | 3.4 × 10⁻¹² | <0.1% |
| Costa Rica | 3.3 × 10⁻¹² | <0.1% |
| Panama | 2.9 × 10⁻¹² | <0.1% |
| Papua New Guinea | 2.2 × 10⁻¹² | <0.1% |
| Philippines | 1.9 × 10⁻¹² | <0.1% |
| India | 1.5 × 10⁻¹² | <0.1% |
| Indonesia | 8.1 × 10⁻¹³ | <0.1% |
| Nigeria | 6.1 × 10⁻¹³ | <0.1% |
| Peru | 4.4 × 10⁻¹³ | <0.1% |
| Ecuador | 4.1 × 10⁻¹³ | <0.1% |
| Mozambique | 1.3 × 10⁻¹³ | <0.1% |
| Venezuela, RB | 1.3 × 10⁻¹³ | <0.1% |
| Bolivia | 8.9 × 10⁻¹⁵ | <0.1% |
| Benin | 6.6 × 10⁻¹⁵ | <0.1% |
| Ghana | 3.9 × 10⁻¹⁵ | <0.1% |
| China | 3.1 × 10⁻¹⁶ | <0.1% |
| Saudi Arabia | 1.2 × 10⁻¹⁶ | <0.1% |
| Total | 1.6 × 10⁻⁸ | = the headline figure, 1.6 × 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 |
|---|---|---|
| Work | 1.4 × 10⁻⁸ | 91% |
| Conflict and political violence | 1.4 × 10⁻⁹ | 8.7% |
| Total | 1.6 × 10⁻⁸ | = the headline figure, 1.6 × 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 |
|---|---|---|
| Not placed | 1.4 × 10⁻⁸ | 91% |
| Ethiopia: Government/Amhara | 2.7 × 10⁻¹⁰ | 1.7% |
| Central African Republic: Government | 2.5 × 10⁻¹⁰ | 1.6% |
| AAKG - CPC | 1.0 × 10⁻¹⁰ | 0.64% |
| Ethiopia: Oromiya | 1.0 × 10⁻¹⁰ | 0.64% |
| M18 - MS-13 | 7.0 × 10⁻¹¹ | 0.45% |
| Government of Ethiopia - Civilians | 4.1 × 10⁻¹¹ | 0.26% |
| OLA - Civilians | 3.2 × 10⁻¹¹ | 0.20% |
| Comando Vermelho - PCC | 3.1 × 10⁻¹¹ | 0.20% |
| Central African Republic: Logone | 3.1 × 10⁻¹¹ | 0.20% |
| IS - Civilians | 3.0 × 10⁻¹¹ | 0.19% |
| Fano - Civilians | 2.8 × 10⁻¹¹ | 0.18% |
| CPC - Civilians | 2.8 × 10⁻¹¹ | 0.18% |
| Anuak - Nuer | 2.7 × 10⁻¹¹ | 0.17% |
| Yemen (North Yemen): Government | 2.4 × 10⁻¹¹ | 0.15% |
| M18 - Civilians | 1.5 × 10⁻¹¹ | <0.1% |
| Bonde do Maluco - Comando Vermelho | 1.1 × 10⁻¹¹ | <0.1% |
| Kenya: Northeastern Province and Coast | 1.1 × 10⁻¹¹ | <0.1% |
| EGC - Civilians | 1.0 × 10⁻¹¹ | <0.1% |
| Cartel do Norte - Comando Vermelho | 1.0 × 10⁻¹¹ | <0.1% |
| Government of Central African Republic - Civilians | 8.9 × 10⁻¹² | <0.1% |
| URDPC - Civilians | 8.3 × 10⁻¹² | <0.1% |
| Amhara - Oromo | 7.3 × 10⁻¹² | <0.1% |
| Bonde dos 40 - PCC | 7.3 × 10⁻¹² | <0.1% |
| Uganda: Islamic State | 6.4 × 10⁻¹² | <0.1% |
| Colombia: Government | 5.8 × 10⁻¹² | <0.1% |
| FARC-EMC - Civilians | 5.5 × 10⁻¹² | <0.1% |
| Comando Vermelho - GDE | 5.5 × 10⁻¹² | <0.1% |
| Jalisco Cartel New Generation - Sinaloa Cartel | 5.5 × 10⁻¹² | <0.1% |
| Lengola - Mbole | 5.5 × 10⁻¹² | <0.1% |
| Nova Okaida - Estados Unidos | 5.5 × 10⁻¹² | <0.1% |
| GDE, PCC - Sindicato do Crime | 5.4 × 10⁻¹² | <0.1% |
| Burundi: Government | 5.2 × 10⁻¹² | <0.1% |
| JNIM - Civilians | 5.2 × 10⁻¹² | <0.1% |
| PCC - Sindicato do Crime | 4.8 × 10⁻¹² | <0.1% |
| Cameroon: Ambazonia | 4.7 × 10⁻¹² | <0.1% |
| Amigos Para Sempre - Família Terror Amapá | 4.7 × 10⁻¹² | <0.1% |
| Comando Vermelho - Civilians | 3.9 × 10⁻¹² | <0.1% |
| Government of Rwanda - Civilians | 3.9 × 10⁻¹² | <0.1% |
| DR Congo (Zaire): Government | 3.8 × 10⁻¹² | <0.1% |
| DR Congo (Zaire): Islamic State | 3.8 × 10⁻¹² | <0.1% |
| FARC-EMC - ELN | 3.6 × 10⁻¹² | <0.1% |
| Government of Haiti - Civilians | 3.4 × 10⁻¹² | <0.1% |
| Forces of Tony Peña - Los Hondureños | 3.3 × 10⁻¹² | <0.1% |
| Guraghe - Mareqo | 3.2 × 10⁻¹² | <0.1% |
| Togo: Government | 3.2 × 10⁻¹² | <0.1% |
| AQAP - Forces of the Presidential Leadership Council | 3.2 × 10⁻¹² | <0.1% |
| G9 - G-Pep | 3.1 × 10⁻¹² | <0.1% |
| Terre Noire - Civilians | 3.0 × 10⁻¹² | <0.1% |
| Myanmar (Burma): Government | 2.9 × 10⁻¹² | <0.1% |
| 5 Segond, Taliban - Civilians | 2.9 × 10⁻¹² | <0.1% |
| Bonde dos 13, PCC - Comando Vermelho | 2.9 × 10⁻¹² | <0.1% |
| Bonde dos 40 - Comando Vermelho | 2.8 × 10⁻¹² | <0.1% |
| Cameroon: Government | 2.8 × 10⁻¹² | <0.1% |
| JAS - Civilians | 2.7 × 10⁻¹² | <0.1% |
| MS-13 - Civilians | 2.7 × 10⁻¹² | <0.1% |
| Grand Ravine - Civilians | 2.7 × 10⁻¹² | <0.1% |
| Ambazonia insurgents - Civilians | 2.6 × 10⁻¹² | <0.1% |
| FARC - Segunda Marquetalia - Civilians | 2.4 × 10⁻¹² | <0.1% |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 2.4 × 10⁻¹² | <0.1% |
| M23 - VDP | 2.4 × 10⁻¹² | <0.1% |
| Mobondo - Civilians | 2.3 × 10⁻¹² | <0.1% |
| Government of Burundi - Civilians | 2.3 × 10⁻¹² | <0.1% |
| ELN - Civilians | 2.3 × 10⁻¹² | <0.1% |
| Ambulin, Lungupin, Nenei, Sau, Sau Walep, Yandamau, Yopo - Kaekin, Lanzerakin, Lyona, Mupapalu, Murap, Palinau, Sakaikin, Sikin, Wapukin | 2.2 × 10⁻¹² | <0.1% |
| Murle - Nuer | 2.1 × 10⁻¹² | <0.1% |
| Juarez Cartel - Sinaloa Cartel | 2.1 × 10⁻¹² | <0.1% |
| Comando Vermelho - Holanda | 2.0 × 10⁻¹² | <0.1% |
| G-Pep - Civilians | 2.0 × 10⁻¹² | <0.1% |
| Farmers (CAR) - Herders (CAR) | 2.0 × 10⁻¹² | <0.1% |
| AAKG - Civilians | 2.0 × 10⁻¹² | <0.1% |
| Los Costenos - Los Pepes | 1.9 × 10⁻¹² | <0.1% |
| EGC - ELN, FARC-EMC | 1.8 × 10⁻¹² | <0.1% |
| M23 - Civilians | 1.8 × 10⁻¹² | <0.1% |
| EGC - ELN | 1.7 × 10⁻¹² | <0.1% |
| Somalia: Government | 1.6 × 10⁻¹² | <0.1% |
| Rwanda: Government | 1.6 × 10⁻¹² | <0.1% |
| Carteles Unidos - Jalisco Cartel New Generation | 1.6 × 10⁻¹² | <0.1% |
| Comando Vermelho - Massa | 1.5 × 10⁻¹² | <0.1% |
| Government of DR Congo (Zaire) - Civilians | 1.5 × 10⁻¹² | <0.1% |
| Nova Okaida - PCC | 1.5 × 10⁻¹² | <0.1% |
| Bonde do Maluco - Katiara | 1.4 × 10⁻¹² | <0.1% |
| Bonde do Maluco - Civilians | 1.4 × 10⁻¹² | <0.1% |
| Cameroon: Islamic State | 1.3 × 10⁻¹² | <0.1% |
| Al-Shabaab - Civilians | 1.2 × 10⁻¹² | <0.1% |
| Philippines: Government | 1.2 × 10⁻¹² | <0.1% |
| Bonde dos 40 - Civilians | 1.1 × 10⁻¹² | <0.1% |
| Comando Vermelho - Terceiro Comando Puro | 1.0 × 10⁻¹² | <0.1% |
| Government of Myanmar (Burma) - Civilians | 1.0 × 10⁻¹² | <0.1% |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 9.2 × 10⁻¹³ | <0.1% |
| PCC - Civilians | 7.9 × 10⁻¹³ | <0.1% |
| Gran Grif - Civilians | 7.8 × 10⁻¹³ | <0.1% |
| 400 Mawozo - Civilians | 7.8 × 10⁻¹³ | <0.1% |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 7.7 × 10⁻¹³ | <0.1% |
| URDPC - Zaire self-defense group | 7.6 × 10⁻¹³ | <0.1% |
| Ajeita - Bonde do Maluco | 7.0 × 10⁻¹³ | <0.1% |
| Zaire self-defense group - Civilians | 6.7 × 10⁻¹³ | <0.1% |
| Amhara - Gumuz | 6.4 × 10⁻¹³ | <0.1% |
| VDP - Civilians | 6.3 × 10⁻¹³ | <0.1% |
| Government of Colombia - Civilians | 6.3 × 10⁻¹³ | <0.1% |
| Government of Cameroon - Civilians | 6.2 × 10⁻¹³ | <0.1% |
| Philippines: Islamic State | 5.7 × 10⁻¹³ | <0.1% |
| Government of Brazil - Civilians | 5.2 × 10⁻¹³ | <0.1% |
| United Kingdom, United States of America - Yemen | 5.1 × 10⁻¹³ | <0.1% |
| Indonesia: West Papua | 5.1 × 10⁻¹³ | <0.1% |
| FPIC Chambre noire sanduku - URDPC | 4.9 × 10⁻¹³ | <0.1% |
| Myanmar (Burma): Kachin | 4.9 × 10⁻¹³ | <0.1% |
| FPIC Chambre noire sanduku - Civilians | 4.8 × 10⁻¹³ | <0.1% |
| Anti-Bala - Bala na Cara | 4.8 × 10⁻¹³ | <0.1% |
| Peru: Government | 4.4 × 10⁻¹³ | <0.1% |
| Bonde dos 40 - PCM | 4.4 × 10⁻¹³ | <0.1% |
| India: Kashmir | 4.3 × 10⁻¹³ | <0.1% |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 4.0 × 10⁻¹³ | <0.1% |
| Comités locaux de vigilance - JAS | 3.7 × 10⁻¹³ | <0.1% |
| Kuki - Meitei | 3.7 × 10⁻¹³ | <0.1% |
| Government of Yemen (North Yemen) - Civilians | 3.6 × 10⁻¹³ | <0.1% |
| AFC - Civilians | 3.5 × 10⁻¹³ | <0.1% |
| India: Government | 3.4 × 10⁻¹³ | <0.1% |
| AFP-Gutabara - CNPSC, FABB | 3.3 × 10⁻¹³ | <0.1% |
| Myanmar (Burma): Karen | 3.2 × 10⁻¹³ | <0.1% |
| Comandos de la Frontera - Civilians | 2.8 × 10⁻¹³ | <0.1% |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 2.5 × 10⁻¹³ | <0.1% |
| Myanmar (Burma): Karenni | 2.5 × 10⁻¹³ | <0.1% |
| OPM - Civilians | 2.4 × 10⁻¹³ | <0.1% |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 2.3 × 10⁻¹³ | <0.1% |
| Nigeria: Islamic State | 2.2 × 10⁻¹³ | <0.1% |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 2.1 × 10⁻¹³ | <0.1% |
| Los Ardillos - Los Tlacos | 1.7 × 10⁻¹³ | <0.1% |
| CPI-Maoist - Civilians | 1.5 × 10⁻¹³ | <0.1% |
| Los Costenos - Civilians | 1.4 × 10⁻¹³ | <0.1% |
| Myanmar (Burma): Arakan | 1.3 × 10⁻¹³ | <0.1% |
| Los Choneros - Los Lobos | 1.3 × 10⁻¹³ | <0.1% |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 1.2 × 10⁻¹³ | <0.1% |
| AFP-Gutabara - FABB | 1.2 × 10⁻¹³ | <0.1% |
| CPP - Civilians | 1.2 × 10⁻¹³ | <0.1% |
| Government of Venezuela - Civilians | 1.1 × 10⁻¹³ | <0.1% |
| FRPI - Civilians | 9.9 × 10⁻¹⁴ | <0.1% |
| Mozambique: Islamic State | 8.4 × 10⁻¹⁴ | <0.1% |
| Nigeria: Government | 8.3 × 10⁻¹⁴ | <0.1% |
| Myanmar (Burma): Kokang | 8.3 × 10⁻¹⁴ | <0.1% |
| Kokorat sans ras - Civilians | 8.2 × 10⁻¹⁴ | <0.1% |
| Kashmir insurgents - Civilians | 6.8 × 10⁻¹⁴ | <0.1% |
| Basonge - Bena Nkoma (Bakwa Luntu, Luba) | 6.6 × 10⁻¹⁴ | <0.1% |
| Government of Indonesia - Civilians | 6.0 × 10⁻¹⁴ | <0.1% |
| RED-TABARA - Civilians | 6.0 × 10⁻¹⁴ | <0.1% |
| FDLR-FOCA - Civilians | 5.5 × 10⁻¹⁴ | <0.1% |
| FPIC Chambre noire sanduku - FRPI | 5.5 × 10⁻¹⁴ | <0.1% |
| Fatales, Los Aguilas - Los Lobos , Los Tiguerones | 5.4 × 10⁻¹⁴ | <0.1% |
| IS - JAS | 5.3 × 10⁻¹⁴ | <0.1% |
| Los Chone Killers - Latin Kings | 4.5 × 10⁻¹⁴ | <0.1% |
| Mayi Mayi Chini ya Tuna - Civilians | 4.4 × 10⁻¹⁴ | <0.1% |
| Amigos dos Amigos - Comando Vermelho | 4.4 × 10⁻¹⁴ | <0.1% |
| FDN - PCC | 4.4 × 10⁻¹⁴ | <0.1% |
| Thailand: Patani | 4.0 × 10⁻¹⁴ | <0.1% |
| Los Aguilas - Los Lobos | 4.0 × 10⁻¹⁴ | <0.1% |
| Los Choneros - Los Lagartos | 3.6 × 10⁻¹⁴ | <0.1% |
| Los Rusos, UPOEG - Los Tlacos | 3.5 × 10⁻¹⁴ | <0.1% |
| Los Lobos - Los Tiguerones | 3.5 × 10⁻¹⁴ | <0.1% |
| Los Lagartos - Mafia 18 | 3.5 × 10⁻¹⁴ | <0.1% |
| Government of Papua New Guinea - Civilians | 3.3 × 10⁻¹⁴ | <0.1% |
| South Sudan: Government | 3.3 × 10⁻¹⁴ | <0.1% |
| Luba - Batwa | 3.3 × 10⁻¹⁴ | <0.1% |
| Jalisco Cartel New Generation - Civilians | 3.2 × 10⁻¹⁴ | <0.1% |
| Fulani - Mwaghavul | 3.1 × 10⁻¹⁴ | <0.1% |
| Jalisco Cartel New Generation - Pájaros Sierra | 3.0 × 10⁻¹⁴ | <0.1% |
| Hindus (India) - Muslims (India) | 2.9 × 10⁻¹⁴ | <0.1% |
| Fulani - Mwaghavul , Ron | 2.8 × 10⁻¹⁴ | <0.1% |
| Los Aguilas - Los Lobos , Los Tiguerones | 2.7 × 10⁻¹⁴ | <0.1% |
| Fulani - Tiv | 2.7 × 10⁻¹⁴ | <0.1% |
| NUG - Civilians | 2.5 × 10⁻¹⁴ | <0.1% |
| Government of India - Civilians | 2.5 × 10⁻¹⁴ | <0.1% |
| Government of Mexico - Civilians | 2.5 × 10⁻¹⁴ | <0.1% |
| Choa Arab - Kotoko | 2.5 × 10⁻¹⁴ | <0.1% |
| Choa Arab - Musgum | 2.5 × 10⁻¹⁴ | <0.1% |
| Farmers (Nigeria) - Herders (Nigeria) | 2.3 × 10⁻¹⁴ | <0.1% |
| Los Ardillos - Los Rojos | 2.1 × 10⁻¹⁴ | <0.1% |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 2.0 × 10⁻¹⁴ | <0.1% |
| Nigeria: Biafra | 1.6 × 10⁻¹⁴ | <0.1% |
| Philippines: Mindanao | 1.4 × 10⁻¹⁴ | <0.1% |
| Government of Philippines - Civilians | 1.4 × 10⁻¹⁴ | <0.1% |
| IS - Naparama | 1.4 × 10⁻¹⁴ | <0.1% |
| India: Western South East Asia | 1.4 × 10⁻¹⁴ | <0.1% |
| Birom - Fulani | 1.2 × 10⁻¹⁴ | <0.1% |
| DR Congo (Zaire): Katanga | 1.1 × 10⁻¹⁴ | <0.1% |
| Government of Uganda - Civilians | 1.1 × 10⁻¹⁴ | <0.1% |
| Twiganeho - Civilians | 1.1 × 10⁻¹⁴ | <0.1% |
| AFC - VDP | 1.1 × 10⁻¹⁴ | <0.1% |
| Atyap - Fulani | 1.1 × 10⁻¹⁴ | <0.1% |
| Karimjo - Wurukum | 9.9 × 10⁻¹⁵ | <0.1% |
| Black Axe - Eyie | 9.4 × 10⁻¹⁵ | <0.1% |
| Forces of Terwase Akwanza - Civilians | 8.2 × 10⁻¹⁵ | <0.1% |
| Fulani - Idoma | 7.7 × 10⁻¹⁵ | <0.1% |
| Fulani - Kuteb | 7.2 × 10⁻¹⁵ | <0.1% |
| VHP - Civilians | 7.2 × 10⁻¹⁵ | <0.1% |
| Gulf Cartel - Sinaloa Cartel | 7.1 × 10⁻¹⁵ | <0.1% |
| Gulf Cartel - Jalisco Cartel New Generation | 7.1 × 10⁻¹⁵ | <0.1% |
| Government of Mozambique - Civilians | 6.2 × 10⁻¹⁵ | <0.1% |
| Government of Nigeria - Civilians | 5.1 × 10⁻¹⁵ | <0.1% |
| Chain Guys - Full Force | 4.3 × 10⁻¹⁵ | <0.1% |
| Benin: Government | 4.0 × 10⁻¹⁵ | <0.1% |
| Kusasi - Mamprusi | 3.9 × 10⁻¹⁵ | <0.1% |
| India - Pakistan | 3.6 × 10⁻¹⁵ | <0.1% |
| India: Nagaland | 3.6 × 10⁻¹⁵ | <0.1% |
| NSCN-IM - Civilians | 3.6 × 10⁻¹⁵ | <0.1% |
| PLFI - Civilians | 3.6 × 10⁻¹⁵ | <0.1% |
| Myanmar (Burma): Shan | 3.4 × 10⁻¹⁵ | <0.1% |
| Los Lobos - R7 | 3.0 × 10⁻¹⁵ | <0.1% |
| Hausa - Fulani | 2.4 × 10⁻¹⁵ | <0.1% |
| Fulani - Irigwe | 1.7 × 10⁻¹⁵ | <0.1% |
| ARSA - Civilians | 1.7 × 10⁻¹⁵ | <0.1% |
| Fulani - Igala | 1.4 × 10⁻¹⁵ | <0.1% |
| Patani insurgents - Civilians | 1.3 × 10⁻¹⁵ | <0.1% |
| Greenlanders - NDV | 1.3 × 10⁻¹⁵ | <0.1% |
| Black Axe - Maphite | 1.3 × 10⁻¹⁵ | <0.1% |
| Guerreros Unidos - Los Tlacos | 1.2 × 10⁻¹⁵ | <0.1% |
| Supporters of APC - Supporters of PDP | 8.5 × 10⁻¹⁶ | <0.1% |
| Black Axe - SVC | 7.1 × 10⁻¹⁶ | <0.1% |
| IPOB - Civilians | 7.1 × 10⁻¹⁶ | <0.1% |
| Agatu - Fulani | 5.7 × 10⁻¹⁶ | <0.1% |
| IS - Yan Gora | 5.7 × 10⁻¹⁶ | <0.1% |
| Deebam - NDV | 5.7 × 10⁻¹⁶ | <0.1% |
| Jukun - Tiv | 2.8 × 10⁻¹⁶ | <0.1% |
| Total | 1.6 × 10⁻⁸ | = the headline figure, 1.6 × 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 |
|---|---|---|
| Accommodation and food service activities | 7.9 × 10⁻⁵ | 69% |
| Crop and animal production, hunting and related service activities | 5.6 × 10⁻⁶ | 4.9% |
| Manufacture of food products; beverages and tobacco products | 5.3 × 10⁻⁶ | 4.7% |
| Wholesale trade, except of motor vehicles and motorcycles | 3.5 × 10⁻⁶ | 3.1% |
| Mining and quarrying | 2.0 × 10⁻⁶ | 1.7% |
| Security and investigation, service and landscape, office administrative and support activities | 1.9 × 10⁻⁶ | 1.7% |
| Retail trade, except of motor vehicles and motorcycles | 1.7 × 10⁻⁶ | 1.5% |
| Land transport and transport via pipelines | 1.6 × 10⁻⁶ | 1.4% |
| Construction | 1.2 × 10⁻⁶ | 1.0% |
| Warehousing and support activities for transportation | 1.1 × 10⁻⁶ | 0.97% |
| Rental and leasing activities | 1.0 × 10⁻⁶ | 0.90% |
| Employment activities | 9.1 × 10⁻⁷ | 0.80% |
| Legal and accounting activities; activities of head offices; management consultancy activities | 6.6 × 10⁻⁷ | 0.58% |
| Manufacture of chemicals and chemical products | 5.3 × 10⁻⁷ | 0.46% |
| Sewerage, waste management, remediation activities | 5.0 × 10⁻⁷ | 0.44% |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 4.5 × 10⁻⁷ | 0.39% |
| Postal and courier activities | 4.0 × 10⁻⁷ | 0.36% |
| Manufacture of rubber and plastic products | 3.9 × 10⁻⁷ | 0.34% |
| Manufacture of coke and refined petroleum products | 3.8 × 10⁻⁷ | 0.33% |
| Manufacture of paper and paper products | 3.2 × 10⁻⁷ | 0.29% |
| Manufacture of basic metals | 3.1 × 10⁻⁷ | 0.27% |
| Manufacture of fabricated metal products, except machinery and equipment | 3.0 × 10⁻⁷ | 0.27% |
| Water transport | 2.6 × 10⁻⁷ | 0.23% |
| Real estate activities | 2.4 × 10⁻⁷ | 0.21% |
| Public administration and defence; compulsory social security | 2.4 × 10⁻⁷ | 0.21% |
| Air transport | 2.2 × 10⁻⁷ | 0.20% |
| Electricity, gas, steam and air conditioning supply | 2.2 × 10⁻⁷ | 0.19% |
| Fishing and aquaculture | 2.2 × 10⁻⁷ | 0.19% |
| Travel agency, tour operator reservation service and related activities | 2.2 × 10⁻⁷ | 0.19% |
| Manufacture of other non-metallic mineral products | 2.0 × 10⁻⁷ | 0.18% |
| Human health activities | 2.0 × 10⁻⁷ | 0.17% |
| Manufacture of machinery and equipment n.e.c. | 1.9 × 10⁻⁷ | 0.17% |
| Water collection, treatment and supply | 1.9 × 10⁻⁷ | 0.17% |
| Manufacture of textiles, wearing apparel, leather and related products | 1.9 × 10⁻⁷ | 0.17% |
| Manufacture of motor vehicles, trailers and semi-trailers | 1.8 × 10⁻⁷ | 0.16% |
| Manufacture of electrical equipment | 1.6 × 10⁻⁷ | 0.14% |
| Repair and installation of machinery and equipment | 1.5 × 10⁻⁷ | 0.14% |
| Forestry and logging | 1.5 × 10⁻⁷ | 0.13% |
| Sports activities and amusement and recreation activities | 1.4 × 10⁻⁷ | 0.12% |
| Advertising and market research | 1.4 × 10⁻⁷ | 0.12% |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 1.3 × 10⁻⁷ | 0.11% |
| Architectural and engineering activities; technical testing and analysis | 1.2 × 10⁻⁷ | 0.11% |
| Computer programming, consultancy, and information service activities | 1.2 × 10⁻⁷ | 0.10% |
| Other personal service activities | 1.1 × 10⁻⁷ | 0.10% |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 1.1 × 10⁻⁷ | <0.1% |
| Manufacture of computer, electronic and optical products | 1.0 × 10⁻⁷ | <0.1% |
| Printing and reproduction of recorded media | 9.4 × 10⁻⁸ | <0.1% |
| Financial service activities, except insurance and pension funding | 9.2 × 10⁻⁸ | <0.1% |
| Repair of computers and personal and household goods | 9.1 × 10⁻⁸ | <0.1% |
| Activities of membership organisations | 8.9 × 10⁻⁸ | <0.1% |
| Other professional, scientific and technical activities; veterinary activities | 7.2 × 10⁻⁸ | <0.1% |
| Manufacture of furniture; other manufacturing | 7.1 × 10⁻⁸ | <0.1% |
| Telecommunications | 6.8 × 10⁻⁸ | <0.1% |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 6.4 × 10⁻⁸ | <0.1% |
| Manufacture of other transport equipment | 5.4 × 10⁻⁸ | <0.1% |
| Education | 4.8 × 10⁻⁸ | <0.1% |
| Motion picture, video, television programme production; programming and broadcasting activities | 4.2 × 10⁻⁸ | <0.1% |
| Residential care activities and social work activities without accommodation | 4.1 × 10⁻⁸ | <0.1% |
| Activities auxiliary to financial services and insurance activities | 2.5 × 10⁻⁸ | <0.1% |
| Insurance, reinsurance and pension funding, except compulsory social security | 2.4 × 10⁻⁸ | <0.1% |
| Publishing activities | 2.1 × 10⁻⁸ | <0.1% |
| Scientific research and development | 8.7 × 10⁻⁹ | <0.1% |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 4.1 × 10⁻¹⁰ | <0.1% |
| Total | 1.1 × 10⁻⁴ | = the headline figure, 1.1 × 10⁻⁴ |
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 |
|---|---|---|
| United States | 2.0 × 10⁻⁵ | 18% |
| Turkiye | 1.7 × 10⁻⁵ | 15% |
| Spain | 1.4 × 10⁻⁵ | 12% |
| Not placed | 1.2 × 10⁻⁵ | 10% |
| France | 1.0 × 10⁻⁵ | 8.8% |
| Germany | 9.2 × 10⁻⁶ | 8.1% |
| Italy | 5.8 × 10⁻⁶ | 5.1% |
| Argentina | 5.2 × 10⁻⁶ | 4.6% |
| Canada | 3.8 × 10⁻⁶ | 3.4% |
| Portugal | 2.9 × 10⁻⁶ | 2.6% |
| Japan | 2.3 × 10⁻⁶ | 2.1% |
| Australia | 2.2 × 10⁻⁶ | 1.9% |
| Netherlands | 1.8 × 10⁻⁶ | 1.6% |
| Switzerland | 1.6 × 10⁻⁶ | 1.4% |
| Austria | 9.6 × 10⁻⁷ | 0.84% |
| Belgium | 5.9 × 10⁻⁷ | 0.52% |
| Denmark | 5.2 × 10⁻⁷ | 0.46% |
| Poland | 5.1 × 10⁻⁷ | 0.45% |
| Sweden | 4.6 × 10⁻⁷ | 0.41% |
| Finland | 4.0 × 10⁻⁷ | 0.35% |
| Hungary | 3.1 × 10⁻⁷ | 0.27% |
| Ireland | 3.0 × 10⁻⁷ | 0.26% |
| Czechia | 2.8 × 10⁻⁷ | 0.25% |
| Mexico | 2.4 × 10⁻⁷ | 0.21% |
| Croatia | 1.9 × 10⁻⁷ | 0.17% |
| Slovenia | 1.8 × 10⁻⁷ | 0.16% |
| Greece | 1.7 × 10⁻⁷ | 0.15% |
| Norway | 1.2 × 10⁻⁷ | 0.11% |
| Luxembourg | 1.2 × 10⁻⁷ | 0.11% |
| Brazil | 8.0 × 10⁻⁸ | <0.1% |
| Cyprus | 7.3 × 10⁻⁸ | <0.1% |
| Estonia | 6.9 × 10⁻⁸ | <0.1% |
| Slovak Republic | 5.9 × 10⁻⁸ | <0.1% |
| Lithuania | 4.8 × 10⁻⁸ | <0.1% |
| Malta | 3.6 × 10⁻⁸ | <0.1% |
| Romania | 3.6 × 10⁻⁸ | <0.1% |
| Bulgaria | 2.3 × 10⁻⁸ | <0.1% |
| Latvia | 2.3 × 10⁻⁸ | <0.1% |
| India | 6.3 × 10⁻⁹ | <0.1% |
| Russian Federation | 5.9 × 10⁻⁹ | <0.1% |
| Indonesia | 2.5 × 10⁻⁹ | <0.1% |
| Saudi Arabia | 1.6 × 10⁻¹⁰ | <0.1% |
| United Kingdom | 9.3 × 10⁻¹¹ | <0.1% |
| South Africa | 8.5 × 10⁻¹¹ | <0.1% |
| China | 3.7 × 10⁻¹¹ | <0.1% |
| Korea, Rep. | 2.1 × 10⁻¹¹ | <0.1% |
| Serbia | 3.5 × 10⁻¹⁴ | <0.1% |
| Total | 1.1 × 10⁻⁴ | = the headline figure, 1.1 × 10⁻⁴ |
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/coffee-cup/