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Cómo se construye la cifra de Coche de gasolina
Cada etapa por la que pasa el modelo, con su número. Cada tabla divide la misma cifra principal de una forma distinta, y cada una la suma exactamente — la página lo comprueba y se niega a mostrar una tabla que no la sume.
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La cifra principal
Una unidad es one midsize petrol car of 1,385 kg. Escenario Economic-embedded, sobre FIGARO 2023. Cada cifra es la estimación central de 2.000 extracciones, con el intervalo del percentil 5 al 95 al lado y el grado que ese intervalo merece.
Vía de materiales — 9,5 × 10⁻⁶ por unidad(0,55–1,7 × 10⁻⁵)BAJAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Vía monetaria — 1,7 × 10⁻⁶ por cada 1.000 € gastados en su industria(1,1–2,6 × 10⁻⁶)MEDIAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Cada paso de abajo es una estimación central. El modelo calcula un intervalo para la cifra completa, no para cada paso, así que el intervalo que se aplica a un paso es el de la cifra principal.
1 · De qué está hecho, y qué lleva cada material
La cantidad de cada materia prima en una unidad, las muertes que lleva cada kilogramo de ella en esta ejecución, y su producto: su aportación a la cifra principal.
| Material | Por unidad | Muertes por kg | Aportación | Parte |
|---|---|---|---|---|
| Cobre | 0,034 t | 2,0 × 10⁻⁷ | 6,7 × 10⁻⁶ | 71 % |
| Mineral de hierro | 0,98 t | 1,9 × 10⁻⁹ | 1,8 × 10⁻⁶ | 19 % |
| Carbón y lignito | 0,51 t | 1,7 × 10⁻⁹ | 8,8 × 10⁻⁷ | 9,3 % |
| Bauxita | 0,71 t | 1,2 × 10⁻¹⁰ | 8,5 × 10⁻⁸ | 0,89 % |
| Arena de sílice | 0,024 t | 3,0 × 10⁻¹⁰ | 7,2 × 10⁻⁹ | <0,1 % |
| Suma | 9,5 × 10⁻⁶ | = la cifra principal, 9,5 × 10⁻⁶ | ||
2 · Dónde se contó el daño
La misma cifra principal, según el país donde se contó el daño que llevan los materiales.
| País | Aportación | Parte |
|---|---|---|
| República Democrática del Congo | 5,6 × 10⁻⁶ | 59 % |
| Ucrania | 2,4 × 10⁻⁶ | 25 % |
| México | 1,1 × 10⁻⁶ | 11 % |
| Brasil | 1,4 × 10⁻⁷ | 1,5 % |
| Turquía | 7,4 × 10⁻⁸ | 0,78 % |
| Estados Unidos | 7,3 × 10⁻⁸ | 0,76 % |
| Australia | 4,0 × 10⁻⁸ | 0,42 % |
| Rusia | 3,4 × 10⁻⁸ | 0,36 % |
| Canadá | 2,9 × 10⁻⁸ | 0,30 % |
| Polonia | 2,2 × 10⁻⁸ | 0,23 % |
| India | 1,8 × 10⁻⁸ | 0,18 % |
| Colombia | 8,5 × 10⁻⁹ | <0,1 % |
| Perú | 8,4 × 10⁻⁹ | <0,1 % |
| Indonesia | 7,5 × 10⁻⁹ | <0,1 % |
| Alemania | 4,1 × 10⁻⁹ | <0,1 % |
| Grecia | 3,7 × 10⁻⁹ | <0,1 % |
| Suecia | 3,4 × 10⁻⁹ | <0,1 % |
| Mongolia | 2,7 × 10⁻⁹ | <0,1 % |
| Mozambique | 2,6 × 10⁻⁹ | <0,1 % |
| Bulgaria | 2,3 × 10⁻⁹ | <0,1 % |
| Chequia | 1,7 × 10⁻⁹ | <0,1 % |
| Pakistán | 1,4 × 10⁻⁹ | <0,1 % |
| Mauritania | 1,4 × 10⁻⁹ | <0,1 % |
| Italia | 1,3 × 10⁻⁹ | <0,1 % |
| Tailandia | 1,2 × 10⁻⁹ | <0,1 % |
| Myanmar (Birmania) | 9,4 × 10⁻¹⁰ | <0,1 % |
| Filipinas | 9,3 × 10⁻¹⁰ | <0,1 % |
| Rumanía | 7,7 × 10⁻¹⁰ | <0,1 % |
| Níger | 6,4 × 10⁻¹⁰ | <0,1 % |
| Etiopía | 6,2 × 10⁻¹⁰ | <0,1 % |
| Corea del Sur | 6,2 × 10⁻¹⁰ | <0,1 % |
| Irán | 6,2 × 10⁻¹⁰ | <0,1 % |
| Francia | 6,1 × 10⁻¹⁰ | <0,1 % |
| Nigeria | 6,1 × 10⁻¹⁰ | <0,1 % |
| Venezuela | 5,7 × 10⁻¹⁰ | <0,1 % |
| Afganistán | 5,6 × 10⁻¹⁰ | <0,1 % |
| España | 4,4 × 10⁻¹⁰ | <0,1 % |
| Moldavia | 3,4 × 10⁻¹⁰ | <0,1 % |
| Sudáfrica | 3,3 × 10⁻¹⁰ | <0,1 % |
| Eslovenia | 2,6 × 10⁻¹⁰ | <0,1 % |
| Uzbekistán | 2,4 × 10⁻¹⁰ | <0,1 % |
| Japón | 2,3 × 10⁻¹⁰ | <0,1 % |
| Países Bajos | 2,0 × 10⁻¹⁰ | <0,1 % |
| Hungría | 2,0 × 10⁻¹⁰ | <0,1 % |
| Eslovaquia | 9,5 × 10⁻¹¹ | <0,1 % |
| Georgia | 7,4 × 10⁻¹¹ | <0,1 % |
| China | 4,8 × 10⁻¹¹ | <0,1 % |
| Arabia Saudí | 3,4 × 10⁻¹¹ | <0,1 % |
| Argentina | 3,3 × 10⁻¹¹ | <0,1 % |
| Letonia | 2,8 × 10⁻¹¹ | <0,1 % |
| Austria | 2,8 × 10⁻¹¹ | <0,1 % |
| Bélgica | 1,9 × 10⁻¹¹ | <0,1 % |
| Guatemala | 1,2 × 10⁻¹¹ | <0,1 % |
| Esuatini | 1,1 × 10⁻¹¹ | <0,1 % |
| Finlandia | 1,0 × 10⁻¹¹ | <0,1 % |
| Bangladés | 1,5 × 10⁻¹² | <0,1 % |
| Noruega | 1,1 × 10⁻¹² | <0,1 % |
| Egipto | 4,1 × 10⁻¹³ | <0,1 % |
| Armenia | 1,1 × 10⁻¹⁴ | <0,1 % |
| Suma | 9,5 × 10⁻⁶ | = la cifra principal, 9,5 × 10⁻⁶ |
3 · Por qué canal de daño
La misma cifra principal, por canal de daño: conflicto, trabajo, privación, exposición.
| Canal | Aportación | Parte |
|---|---|---|
| Conflicto y violencia política | 9,3 × 10⁻⁶ | 97 % |
| Trabajo | 2,9 × 10⁻⁷ | 3,1 % |
| Suma | 9,5 × 10⁻⁶ | = la cifra principal, 9,5 × 10⁻⁶ |
4 · Qué conflictos
Las muertes por conflicto de la cifra principal, por conflicto. El daño de cualquier otro canal es la fila que no nombra ningún conflicto.
| Conflicto | Aportación | Parte |
|---|---|---|
| Russia - Ukraine | 2,4 × 10⁻⁶ | 25 % |
| IS - Civilians | 1,5 × 10⁻⁶ | 16 % |
| URDPC - Civilians | 9,8 × 10⁻⁷ | 10 % |
| Lengola - Mbole | 6,5 × 10⁻⁷ | 6,8 % |
| Jalisco Cartel New Generation - Sinaloa Cartel | 5,2 × 10⁻⁷ | 5,4 % |
| DR Congo (Zaire): Islamic State | 4,5 × 10⁻⁷ | 4,7 % |
| Sin ubicar | 2,9 × 10⁻⁷ | 3,1 % |
| M23 - VDP | 2,8 × 10⁻⁷ | 2,9 % |
| Mobondo - Civilians | 2,7 × 10⁻⁷ | 2,8 % |
| DR Congo (Zaire): Government | 2,2 × 10⁻⁷ | 2,3 % |
| M23 - Civilians | 2,2 × 10⁻⁷ | 2,3 % |
| Rwanda: Government | 1,9 × 10⁻⁷ | 2,0 % |
| Government of DR Congo (Zaire) - Civilians | 1,8 × 10⁻⁷ | 1,8 % |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 1,5 × 10⁻⁷ | 1,6 % |
| Juarez Cartel - Sinaloa Cartel | 1,4 × 10⁻⁷ | 1,5 % |
| Government of Rwanda - Civilians | 1,1 × 10⁻⁷ | 1,1 % |
| Carteles Unidos - Jalisco Cartel New Generation | 1,0 × 10⁻⁷ | 1,1 % |
| URDPC - Zaire self-defense group | 8,9 × 10⁻⁸ | 0,94 % |
| Zaire self-defense group - Civilians | 7,9 × 10⁻⁸ | 0,83 % |
| VDP - Civilians | 7,5 × 10⁻⁸ | 0,79 % |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 6,0 × 10⁻⁸ | 0,63 % |
| FPIC Chambre noire sanduku - URDPC | 5,8 × 10⁻⁸ | 0,61 % |
| FPIC Chambre noire sanduku - Civilians | 5,7 × 10⁻⁸ | 0,60 % |
| AFC - Civilians | 4,1 × 10⁻⁸ | 0,43 % |
| Comando Vermelho - PCC | 4,0 × 10⁻⁸ | 0,42 % |
| AFP-Gutabara - CNPSC, FABB | 3,9 × 10⁻⁸ | 0,41 % |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 2,6 × 10⁻⁸ | 0,28 % |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 1,7 × 10⁻⁸ | 0,17 % |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 1,5 × 10⁻⁸ | 0,16 % |
| Government of Russia (Soviet Union) - Civilians | 1,5 × 10⁻⁸ | 0,16 % |
| Bonde do Maluco - Comando Vermelho | 1,5 × 10⁻⁸ | 0,15 % |
| AFP-Gutabara - FABB | 1,4 × 10⁻⁸ | 0,15 % |
| Cartel do Norte - Comando Vermelho | 1,3 × 10⁻⁸ | 0,14 % |
| FRPI - Civilians | 1,2 × 10⁻⁸ | 0,12 % |
| Los Ardillos - Los Tlacos | 1,1 × 10⁻⁸ | 0,12 % |
| Bonde dos 40 - PCC | 9,4 × 10⁻⁹ | <0,1 % |
| Burundi: Government | 9,1 × 10⁻⁹ | <0,1 % |
| Peru: Government | 8,4 × 10⁻⁹ | <0,1 % |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 8,0 × 10⁻⁹ | <0,1 % |
| Basonge - Bena Nkoma (Bakwa Luntu, Luba) | 7,8 × 10⁻⁹ | <0,1 % |
| Comando Vermelho - GDE | 7,1 × 10⁻⁹ | <0,1 % |
| Nova Okaida - Estados Unidos | 7,0 × 10⁻⁹ | <0,1 % |
| GDE, PCC - Sindicato do Crime | 6,9 × 10⁻⁹ | <0,1 % |
| FDLR-FOCA - Civilians | 6,5 × 10⁻⁹ | <0,1 % |
| FPIC Chambre noire sanduku - FRPI | 6,5 × 10⁻⁹ | <0,1 % |
| PCC - Sindicato do Crime | 6,1 × 10⁻⁹ | <0,1 % |
| Amigos Para Sempre - Família Terror Amapá | 6,1 × 10⁻⁹ | <0,1 % |
| Mayi Mayi Chini ya Tuna - Civilians | 5,2 × 10⁻⁹ | <0,1 % |
| India: Kashmir | 5,1 × 10⁻⁹ | <0,1 % |
| Comando Vermelho - Civilians | 5,1 × 10⁻⁹ | <0,1 % |
| Indonesia: West Papua | 4,7 × 10⁻⁹ | <0,1 % |
| Kuki - Meitei | 4,4 × 10⁻⁹ | <0,1 % |
| India: Government | 4,1 × 10⁻⁹ | <0,1 % |
| South Sudan: Government | 3,9 × 10⁻⁹ | <0,1 % |
| Luba - Batwa | 3,9 × 10⁻⁹ | <0,1 % |
| Bonde dos 13, PCC - Comando Vermelho | 3,7 × 10⁻⁹ | <0,1 % |
| Bonde dos 40 - Comando Vermelho | 3,7 × 10⁻⁹ | <0,1 % |
| Turkey: Kurdistan | 3,5 × 10⁻⁹ | <0,1 % |
| Russia (Soviet Union): Government | 2,8 × 10⁻⁹ | <0,1 % |
| Comando Vermelho - Holanda | 2,6 × 10⁻⁹ | <0,1 % |
| Los Rusos, UPOEG - Los Tlacos | 2,3 × 10⁻⁹ | <0,1 % |
| OPM - Civilians | 2,2 × 10⁻⁹ | <0,1 % |
| Jalisco Cartel New Generation - Civilians | 2,1 × 10⁻⁹ | <0,1 % |
| Comando Vermelho - Massa | 2,0 × 10⁻⁹ | <0,1 % |
| Jalisco Cartel New Generation - Pájaros Sierra | 1,9 × 10⁻⁹ | <0,1 % |
| Nova Okaida - PCC | 1,9 × 10⁻⁹ | <0,1 % |
| CPI-Maoist - Civilians | 1,9 × 10⁻⁹ | <0,1 % |
| Bonde do Maluco - Katiara | 1,8 × 10⁻⁹ | <0,1 % |
| Bonde do Maluco - Civilians | 1,8 × 10⁻⁹ | <0,1 % |
| Mozambique: Islamic State | 1,7 × 10⁻⁹ | <0,1 % |
| Government of Mexico - Civilians | 1,6 × 10⁻⁹ | <0,1 % |
| Mauritania: Government | 1,4 × 10⁻⁹ | <0,1 % |
| Bonde dos 40 - Civilians | 1,4 × 10⁻⁹ | <0,1 % |
| Los Ardillos - Los Rojos | 1,4 × 10⁻⁹ | <0,1 % |
| Comando Vermelho - Terceiro Comando Puro | 1,4 × 10⁻⁹ | <0,1 % |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 1,3 × 10⁻⁹ | <0,1 % |
| DR Congo (Zaire): Katanga | 1,3 × 10⁻⁹ | <0,1 % |
| Government of Uganda - Civilians | 1,3 × 10⁻⁹ | <0,1 % |
| Government of Burundi - Civilians | 1,3 × 10⁻⁹ | <0,1 % |
| Twiganeho - Civilians | 1,3 × 10⁻⁹ | <0,1 % |
| AFC - VDP | 1,3 × 10⁻⁹ | <0,1 % |
| Pakistan: Government | 1,1 × 10⁻⁹ | <0,1 % |
| EGC - Civilians | 1,0 × 10⁻⁹ | <0,1 % |
| PCC - Civilians | 1,0 × 10⁻⁹ | <0,1 % |
| Ajeita - Bonde do Maluco | 9,0 × 10⁻¹⁰ | <0,1 % |
| Kashmir insurgents - Civilians | 8,2 × 10⁻¹⁰ | <0,1 % |
| Government of Brazil - Civilians | 6,8 × 10⁻¹⁰ | <0,1 % |
| Anti-Bala - Bala na Cara | 6,2 × 10⁻¹⁰ | <0,1 % |
| Myanmar (Burma): Government | 6,1 × 10⁻¹⁰ | <0,1 % |
| Philippines: Government | 5,7 × 10⁻¹⁰ | <0,1 % |
| Bonde dos 40 - PCM | 5,6 × 10⁻¹⁰ | <0,1 % |
| Government of Indonesia - Civilians | 5,6 × 10⁻¹⁰ | <0,1 % |
| FARC-EMC - Civilians | 5,2 × 10⁻¹⁰ | <0,1 % |
| Iran: Government | 5,2 × 10⁻¹⁰ | <0,1 % |
| Government of Venezuela - Civilians | 4,6 × 10⁻¹⁰ | <0,1 % |
| Gulf Cartel - Sinaloa Cartel | 4,6 × 10⁻¹⁰ | <0,1 % |
| Gulf Cartel - Jalisco Cartel New Generation | 4,6 × 10⁻¹⁰ | <0,1 % |
| Hindus (India) - Muslims (India) | 3,5 × 10⁻¹⁰ | <0,1 % |
| FARC-EMC - ELN | 3,4 × 10⁻¹⁰ | <0,1 % |
| Ethiopia: Government/Amhara | 3,3 × 10⁻¹⁰ | <0,1 % |
| Government of India - Civilians | 3,0 × 10⁻¹⁰ | <0,1 % |
| Niger: Islamic State | 2,9 × 10⁻¹⁰ | <0,1 % |
| IS - Naparama | 2,8 × 10⁻¹⁰ | <0,1 % |
| ELN - Civilians | 2,8 × 10⁻¹⁰ | <0,1 % |
| Philippines: Islamic State | 2,7 × 10⁻¹⁰ | <0,1 % |
| Afghanistan: Islamic State | 2,5 × 10⁻¹⁰ | <0,1 % |
| Nigeria: Islamic State | 2,4 × 10⁻¹⁰ | <0,1 % |
| FARC - Segunda Marquetalia - Civilians | 2,2 × 10⁻¹⁰ | <0,1 % |
| Colombia: Government | 2,1 × 10⁻¹⁰ | <0,1 % |
| CATA - Codeta | 2,0 × 10⁻¹⁰ | <0,1 % |
| Government of Myanmar (Burma) - Civilians | 1,8 × 10⁻¹⁰ | <0,1 % |
| Los Costenos - Los Pepes | 1,8 × 10⁻¹⁰ | <0,1 % |
| India: Western South East Asia | 1,7 × 10⁻¹⁰ | <0,1 % |
| EGC - ELN, FARC-EMC | 1,7 × 10⁻¹⁰ | <0,1 % |
| EGC - ELN | 1,7 × 10⁻¹⁰ | <0,1 % |
| Russia: Islamic State | 1,5 × 10⁻¹⁰ | <0,1 % |
| Myanmar (Burma): Kachin | 1,4 × 10⁻¹⁰ | <0,1 % |
| Pakistan: Balochistan | 1,3 × 10⁻¹⁰ | <0,1 % |
| Government of South Africa - Civilians | 1,3 × 10⁻¹⁰ | <0,1 % |
| Government of Mozambique - Civilians | 1,2 × 10⁻¹⁰ | <0,1 % |
| Ethiopia: Oromiya | 1,2 × 10⁻¹⁰ | <0,1 % |
| Pakistan: Islamic State | 1,0 × 10⁻¹⁰ | <0,1 % |
| Afghanistan: Government | 8,9 × 10⁻¹¹ | <0,1 % |
| VHP - Civilians | 8,6 × 10⁻¹¹ | <0,1 % |
| Guerreros Unidos - Los Tlacos | 7,7 × 10⁻¹¹ | <0,1 % |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 7,3 × 10⁻¹¹ | <0,1 % |
| Government of Afghanistan - Civilians | 6,7 × 10⁻¹¹ | <0,1 % |
| PKK - Civilians | 6,5 × 10⁻¹¹ | <0,1 % |
| Government of Colombia - Civilians | 6,0 × 10⁻¹¹ | <0,1 % |
| Thailand: Patani | 5,9 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Karen | 5,9 × 10⁻¹¹ | <0,1 % |
| Russia (Soviet Union): Chechnya | 5,9 × 10⁻¹¹ | <0,1 % |
| IS - JAS | 5,8 × 10⁻¹¹ | <0,1 % |
| Nigeria: Government | 5,8 × 10⁻¹¹ | <0,1 % |
| Iran: Islamic State | 5,7 × 10⁻¹¹ | <0,1 % |
| Amigos dos Amigos - Comando Vermelho | 5,6 × 10⁻¹¹ | <0,1 % |
| FDN - PCC | 5,6 × 10⁻¹¹ | <0,1 % |
| Niger: Government | 5,6 × 10⁻¹¹ | <0,1 % |
| CPP - Civilians | 5,6 × 10⁻¹¹ | <0,1 % |
| Government of Ethiopia - Civilians | 5,0 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Karenni | 4,6 × 10⁻¹¹ | <0,1 % |
| India - Pakistan | 4,3 × 10⁻¹¹ | <0,1 % |
| India: Nagaland | 4,3 × 10⁻¹¹ | <0,1 % |
| NSCN-IM - Civilians | 4,3 × 10⁻¹¹ | <0,1 % |
| PLFI - Civilians | 4,3 × 10⁻¹¹ | <0,1 % |
| Government of Iran - Civilians | 4,3 × 10⁻¹¹ | <0,1 % |
| OLA - Civilians | 3,9 × 10⁻¹¹ | <0,1 % |
| Shia (Pakistan) - Sunni (Pakistan) | 3,5 × 10⁻¹¹ | <0,1 % |
| Yemen (North Yemen): Government | 3,4 × 10⁻¹¹ | <0,1 % |
| Fano - Civilians | 3,4 × 10⁻¹¹ | <0,1 % |
| Fulani - Mwaghavul | 3,4 × 10⁻¹¹ | <0,1 % |
| Anuak - Nuer | 3,3 × 10⁻¹¹ | <0,1 % |
| DZ Mafia - Yoda | 3,3 × 10⁻¹¹ | <0,1 % |
| Djerma (Zherma) - Fulani | 3,2 × 10⁻¹¹ | <0,1 % |
| Fulani - Mwaghavul , Ron | 3,1 × 10⁻¹¹ | <0,1 % |
| Fulani - Tiv | 3,0 × 10⁻¹¹ | <0,1 % |
| JNIM - Civilians | 2,7 × 10⁻¹¹ | <0,1 % |
| Comandos de la Frontera - Civilians | 2,6 × 10⁻¹¹ | <0,1 % |
| Afghanistan - Pakistan | 2,6 × 10⁻¹¹ | <0,1 % |
| Farmers (Nigeria) - Herders (Nigeria) | 2,5 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Arakan | 2,5 × 10⁻¹¹ | <0,1 % |
| JAS - Civilians | 2,3 × 10⁻¹¹ | <0,1 % |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 2,0 × 10⁻¹¹ | <0,1 % |
| Nigeria: Biafra | 1,8 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Kokang | 1,5 × 10⁻¹¹ | <0,1 % |
| BRAS - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| Birom - Fulani | 1,3 × 10⁻¹¹ | <0,1 % |
| Los Costenos - Civilians | 1,3 × 10⁻¹¹ | <0,1 % |
| Atyap - Fulani | 1,2 × 10⁻¹¹ | <0,1 % |
| Government of eSwatini (Swaziland) - Civilians | 1,1 × 10⁻¹¹ | <0,1 % |
| Karimjo - Wurukum | 1,1 × 10⁻¹¹ | <0,1 % |
| Black Axe - Eyie | 1,0 × 10⁻¹¹ | <0,1 % |
| Forces of Terwase Akwanza - Civilians | 9,1 × 10⁻¹² | <0,1 % |
| Amhara - Oromo | 8,9 × 10⁻¹² | <0,1 % |
| Fulani - Idoma | 8,4 × 10⁻¹² | <0,1 % |
| TTP - Civilians | 8,4 × 10⁻¹² | <0,1 % |
| Fulani - Kuteb | 8,0 × 10⁻¹² | <0,1 % |
| Government of Pakistan - Civilians | 7,6 × 10⁻¹² | <0,1 % |
| M18 - MS-13 | 7,3 × 10⁻¹² | <0,1 % |
| Philippines: Mindanao | 6,9 × 10⁻¹² | <0,1 % |
| Government of Philippines - Civilians | 6,9 × 10⁻¹² | <0,1 % |
| Government of Nigeria - Civilians | 5,6 × 10⁻¹² | <0,1 % |
| Chain Guys - Full Force | 4,7 × 10⁻¹² | <0,1 % |
| NUG - Civilians | 4,6 × 10⁻¹² | <0,1 % |
| Guraghe - Mareqo | 3,9 × 10⁻¹² | <0,1 % |
| Hausa - Fulani | 2,7 × 10⁻¹² | <0,1 % |
| Murle - Nuer | 2,6 × 10⁻¹² | <0,1 % |
| MS-13 - Civilians | 2,6 × 10⁻¹² | <0,1 % |
| M18 - Civilians | 2,1 × 10⁻¹² | <0,1 % |
| Patani insurgents - Civilians | 2,0 × 10⁻¹² | <0,1 % |
| Fulani - Irigwe | 1,9 × 10⁻¹² | <0,1 % |
| Somalia: Government | 1,6 × 10⁻¹² | <0,1 % |
| Fulani - Igala | 1,6 × 10⁻¹² | <0,1 % |
| ARSA - Civilians | 1,4 × 10⁻¹² | <0,1 % |
| Greenlanders - NDV | 1,4 × 10⁻¹² | <0,1 % |
| Black Axe - Maphite | 1,4 × 10⁻¹² | <0,1 % |
| LeJ - Civilians | 1,2 × 10⁻¹² | <0,1 % |
| Supporters of APC - Supporters of PDP | 9,4 × 10⁻¹³ | <0,1 % |
| Amhara - Gumuz | 7,9 × 10⁻¹³ | <0,1 % |
| Black Axe - SVC | 7,8 × 10⁻¹³ | <0,1 % |
| IPOB - Civilians | 7,8 × 10⁻¹³ | <0,1 % |
| Agatu - Fulani | 6,2 × 10⁻¹³ | <0,1 % |
| IS - Yan Gora | 6,2 × 10⁻¹³ | <0,1 % |
| Deebam - NDV | 6,2 × 10⁻¹³ | <0,1 % |
| Myanmar (Burma): Shan | 6,1 × 10⁻¹³ | <0,1 % |
| Government of Egypt - Civilians | 3,4 × 10⁻¹³ | <0,1 % |
| Jukun - Tiv | 3,1 × 10⁻¹³ | <0,1 % |
| Supporters of Awami League - Supporters of BNP | 2,5 × 10⁻¹³ | <0,1 % |
| Cameroon: Ambazonia | 1,6 × 10⁻¹³ | <0,1 % |
| Ambazonia insurgents - Civilians | 1,6 × 10⁻¹³ | <0,1 % |
| Supporters of Awami League - Supporters of Jamaat-e-Islami | 1,3 × 10⁻¹³ | <0,1 % |
| Egypt: Islamic State | 6,8 × 10⁻¹⁴ | <0,1 % |
| Azerbaijan: Artsakh (Nagorno-Karabakh) | 1,1 × 10⁻¹⁴ | <0,1 % |
| Suma | 9,5 × 10⁻⁶ | = la cifra principal, 9,5 × 10⁻⁶ |
5 · La vía monetaria: qué industrias
La cifra por cada 1.000 €, según la industria donde se produjo el daño en cualquier punto de la cadena de suministro.
| Industria | Aportación | Parte |
|---|---|---|
| Mining and quarrying | 1,1 × 10⁻⁶ | 65 % |
| Manufacture of basic metals | 2,5 × 10⁻⁷ | 15 % |
| Manufacture of motor vehicles, trailers and semi-trailers | 6,0 × 10⁻⁸ | 3,5 % |
| Land transport and transport via pipelines | 5,8 × 10⁻⁸ | 3,4 % |
| Water transport | 4,0 × 10⁻⁸ | 2,4 % |
| Crop and animal production, hunting and related service activities | 3,7 × 10⁻⁸ | 2,2 % |
| Warehousing and support activities for transportation | 2,5 × 10⁻⁸ | 1,5 % |
| Forestry and logging | 1,8 × 10⁻⁸ | 1,1 % |
| Air transport | 1,5 × 10⁻⁸ | 0,91 % |
| Wholesale trade, except of motor vehicles and motorcycles | 1,5 × 10⁻⁸ | 0,87 % |
| Manufacture of fabricated metal products, except machinery and equipment | 1,4 × 10⁻⁸ | 0,85 % |
| Retail trade, except of motor vehicles and motorcycles | 6,2 × 10⁻⁹ | 0,36 % |
| Postal and courier activities | 4,0 × 10⁻⁹ | 0,24 % |
| Construction | 4,0 × 10⁻⁹ | 0,24 % |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 3,7 × 10⁻⁹ | 0,22 % |
| Manufacture of other transport equipment | 3,3 × 10⁻⁹ | 0,19 % |
| Manufacture of rubber and plastic products | 3,0 × 10⁻⁹ | 0,18 % |
| Security and investigation, service and landscape, office administrative and support activities | 2,9 × 10⁻⁹ | 0,17 % |
| Manufacture of chemicals and chemical products | 2,5 × 10⁻⁹ | 0,15 % |
| Sewerage, waste management, remediation activities | 2,5 × 10⁻⁹ | 0,15 % |
| Manufacture of machinery and equipment n.e.c. | 2,4 × 10⁻⁹ | 0,14 % |
| Manufacture of coke and refined petroleum products | 2,0 × 10⁻⁹ | 0,12 % |
| Manufacture of electrical equipment | 2,0 × 10⁻⁹ | 0,12 % |
| Rental and leasing activities | 1,9 × 10⁻⁹ | 0,11 % |
| Employment activities | 1,9 × 10⁻⁹ | 0,11 % |
| Manufacture of computer, electronic and optical products | 1,8 × 10⁻⁹ | 0,11 % |
| Water collection, treatment and supply | 1,6 × 10⁻⁹ | <0,1 % |
| Electricity, gas, steam and air conditioning supply | 1,6 × 10⁻⁹ | <0,1 % |
| Public administration and defence; compulsory social security | 1,2 × 10⁻⁹ | <0,1 % |
| Legal and accounting activities; activities of head offices; management consultancy activities | 1,1 × 10⁻⁹ | <0,1 % |
| Manufacture of other non-metallic mineral products | 8,6 × 10⁻¹⁰ | <0,1 % |
| Manufacture of textiles, wearing apparel, leather and related products | 7,6 × 10⁻¹⁰ | <0,1 % |
| Accommodation and food service activities | 7,5 × 10⁻¹⁰ | <0,1 % |
| Manufacture of paper and paper products | 5,1 × 10⁻¹⁰ | <0,1 % |
| Manufacture of food products; beverages and tobacco products | 4,4 × 10⁻¹⁰ | <0,1 % |
| Repair and installation of machinery and equipment | 4,0 × 10⁻¹⁰ | <0,1 % |
| Architectural and engineering activities; technical testing and analysis | 3,6 × 10⁻¹⁰ | <0,1 % |
| Repair of computers and personal and household goods | 3,5 × 10⁻¹⁰ | <0,1 % |
| Real estate activities | 3,3 × 10⁻¹⁰ | <0,1 % |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 3,1 × 10⁻¹⁰ | <0,1 % |
| Human health activities | 2,7 × 10⁻¹⁰ | <0,1 % |
| Computer programming, consultancy, and information service activities | 2,6 × 10⁻¹⁰ | <0,1 % |
| Travel agency, tour operator reservation service and related activities | 2,4 × 10⁻¹⁰ | <0,1 % |
| Manufacture of furniture; other manufacturing | 2,3 × 10⁻¹⁰ | <0,1 % |
| Advertising and market research | 2,3 × 10⁻¹⁰ | <0,1 % |
| Other personal service activities | 2,2 × 10⁻¹⁰ | <0,1 % |
| Activities of membership organisations | 2,1 × 10⁻¹⁰ | <0,1 % |
| Financial service activities, except insurance and pension funding | 1,8 × 10⁻¹⁰ | <0,1 % |
| Printing and reproduction of recorded media | 1,6 × 10⁻¹⁰ | <0,1 % |
| Other professional, scientific and technical activities; veterinary activities | 1,6 × 10⁻¹⁰ | <0,1 % |
| Sports activities and amusement and recreation activities | 1,2 × 10⁻¹⁰ | <0,1 % |
| Telecommunications | 1,1 × 10⁻¹⁰ | <0,1 % |
| Fishing and aquaculture | 1,0 × 10⁻¹⁰ | <0,1 % |
| Education | 9,6 × 10⁻¹¹ | <0,1 % |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 9,6 × 10⁻¹¹ | <0,1 % |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 9,6 × 10⁻¹¹ | <0,1 % |
| Motion picture, video, television programme production; programming and broadcasting activities | 5,4 × 10⁻¹¹ | <0,1 % |
| Activities auxiliary to financial services and insurance activities | 4,7 × 10⁻¹¹ | <0,1 % |
| Publishing activities | 4,2 × 10⁻¹¹ | <0,1 % |
| Insurance, reinsurance and pension funding, except compulsory social security | 4,2 × 10⁻¹¹ | <0,1 % |
| Scientific research and development | 3,9 × 10⁻¹¹ | <0,1 % |
| Residential care activities and social work activities without accommodation | 2,6 × 10⁻¹¹ | <0,1 % |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 3,0 × 10⁻¹² | <0,1 % |
| Suma | 1,7 × 10⁻⁶ | = la cifra principal, 1,7 × 10⁻⁶ |
6 · La vía monetaria: qué países
La cifra por cada 1.000 €, según el país de la industria donde se produjo el daño.
| País | Aportación | Parte |
|---|---|---|
| Sin ubicar | 1,4 × 10⁻⁶ | 82 % |
| México | 1,2 × 10⁻⁷ | 7,2 % |
| Estados Unidos | 3,2 × 10⁻⁸ | 1,9 % |
| Turquía | 2,4 × 10⁻⁸ | 1,4 % |
| Brasil | 1,8 × 10⁻⁸ | 1,0 % |
| Corea del Sur | 1,6 × 10⁻⁸ | 0,97 % |
| Japón | 1,6 × 10⁻⁸ | 0,93 % |
| Rusia | 1,3 × 10⁻⁸ | 0,79 % |
| Alemania | 1,0 × 10⁻⁸ | 0,60 % |
| Francia | 8,6 × 10⁻⁹ | 0,51 % |
| Canadá | 7,3 × 10⁻⁹ | 0,43 % |
| Polonia | 4,2 × 10⁻⁹ | 0,25 % |
| Italia | 4,1 × 10⁻⁹ | 0,24 % |
| España | 4,0 × 10⁻⁹ | 0,24 % |
| India | 3,9 × 10⁻⁹ | 0,23 % |
| Argentina | 3,1 × 10⁻⁹ | 0,18 % |
| Chequia | 2,9 × 10⁻⁹ | 0,17 % |
| Rumanía | 2,3 × 10⁻⁹ | 0,13 % |
| Portugal | 1,7 × 10⁻⁹ | <0,1 % |
| Hungría | 1,1 × 10⁻⁹ | <0,1 % |
| Eslovaquia | 9,2 × 10⁻¹⁰ | <0,1 % |
| Austria | 9,1 × 10⁻¹⁰ | <0,1 % |
| Bulgaria | 9,0 × 10⁻¹⁰ | <0,1 % |
| Suecia | 9,0 × 10⁻¹⁰ | <0,1 % |
| Australia | 7,0 × 10⁻¹⁰ | <0,1 % |
| Indonesia | 6,6 × 10⁻¹⁰ | <0,1 % |
| Bélgica | 4,3 × 10⁻¹⁰ | <0,1 % |
| Eslovenia | 3,1 × 10⁻¹⁰ | <0,1 % |
| Países Bajos | 3,0 × 10⁻¹⁰ | <0,1 % |
| Lituania | 2,7 × 10⁻¹⁰ | <0,1 % |
| Suiza | 2,5 × 10⁻¹⁰ | <0,1 % |
| Grecia | 2,3 × 10⁻¹⁰ | <0,1 % |
| Letonia | 1,9 × 10⁻¹⁰ | <0,1 % |
| Dinamarca | 1,8 × 10⁻¹⁰ | <0,1 % |
| Noruega | 1,8 × 10⁻¹⁰ | <0,1 % |
| Finlandia | 1,7 × 10⁻¹⁰ | <0,1 % |
| Reino Unido | 1,6 × 10⁻¹⁰ | <0,1 % |
| Sudáfrica | 1,5 × 10⁻¹⁰ | <0,1 % |
| Arabia Saudí | 1,4 × 10⁻¹⁰ | <0,1 % |
| Croacia | 1,3 × 10⁻¹⁰ | <0,1 % |
| Irlanda | 1,2 × 10⁻¹⁰ | <0,1 % |
| Luxemburgo | 8,0 × 10⁻¹¹ | <0,1 % |
| Estonia | 7,0 × 10⁻¹¹ | <0,1 % |
| Chipre | 2,3 × 10⁻¹¹ | <0,1 % |
| China | 2,1 × 10⁻¹¹ | <0,1 % |
| Malta | 1,0 × 10⁻¹¹ | <0,1 % |
| Serbia | 5,8 × 10⁻¹⁴ | <0,1 % |
| Suma | 1,7 × 10⁻⁶ | = la cifra principal, 1,7 × 10⁻⁶ |
Lo que este rastro no muestra
- Las tablas son marginales. «El cobalto lleva el 40 %» y «un país lleva el 60 %» son dos lecturas de una cifra, no un camino a través de ella: la ejecución guarda la cifra por cada dimensión, no por cada combinación de ellas.
- Un intervalo pertenece a la cifra completa. El número de un paso es su estimación central.
- Solo fase de producción. El daño derivado de usar el producto — conducir el coche, cargar el teléfono — no está en esta cifra.
Fuentes de esta cifra
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HumanToll 2026, ejecución 2259, metodología v1.0. https://quiescence.eu/humantoll/explain/petrol-car/