El rastro de auditoría
Cómo se construye la cifra de Neumático de turismo
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 kilogram of passenger car tyre. 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 — 5,2 × 10⁻¹⁰ por unidad(0,27–1,1 × 10⁻⁹)BAJAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Vía monetaria — 1,9 × 10⁻⁶ por cada 1.000 € gastados en su industria(1,2–2,9 × 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 |
|---|---|---|---|---|
| Mineral de hierro | 1,9 × 10⁻⁴ t | 1,9 × 10⁻⁹ | 3,5 × 10⁻¹⁰ | 67 % |
| Carbón y lignito | 9,8 × 10⁻⁵ t | 1,7 × 10⁻⁹ | 1,7 × 10⁻¹⁰ | 33 % |
| Suma | 5,2 × 10⁻¹⁰ | = la cifra principal, 5,2 × 10⁻¹⁰ | ||
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 |
|---|---|---|
| Ucrania | 4,6 × 10⁻¹⁰ | 89 % |
| Brasil | 1,9 × 10⁻¹¹ | 3,7 % |
| Turquía | 9,4 × 10⁻¹² | 1,8 % |
| México | 7,2 × 10⁻¹² | 1,4 % |
| Australia | 4,3 × 10⁻¹² | 0,82 % |
| Estados Unidos | 3,8 × 10⁻¹² | 0,73 % |
| India | 2,6 × 10⁻¹² | 0,50 % |
| Rusia | 2,4 × 10⁻¹² | 0,46 % |
| Colombia | 1,6 × 10⁻¹² | 0,31 % |
| Canadá | 1,5 × 10⁻¹² | 0,30 % |
| Alemania | 7,6 × 10⁻¹³ | 0,15 % |
| Suecia | 6,5 × 10⁻¹³ | 0,12 % |
| Mongolia | 5,3 × 10⁻¹³ | 0,10 % |
| Mozambique | 5,0 × 10⁻¹³ | <0,1 % |
| Polonia | 4,9 × 10⁻¹³ | <0,1 % |
| Bulgaria | 3,9 × 10⁻¹³ | <0,1 % |
| Indonesia | 3,7 × 10⁻¹³ | <0,1 % |
| Chequia | 3,2 × 10⁻¹³ | <0,1 % |
| Pakistán | 2,7 × 10⁻¹³ | <0,1 % |
| Mauritania | 2,7 × 10⁻¹³ | <0,1 % |
| Tailandia | 2,3 × 10⁻¹³ | <0,1 % |
| Grecia | 1,8 × 10⁻¹³ | <0,1 % |
| Myanmar (Birmania) | 1,8 × 10⁻¹³ | <0,1 % |
| Filipinas | 1,8 × 10⁻¹³ | <0,1 % |
| Rumanía | 1,5 × 10⁻¹³ | <0,1 % |
| Níger | 1,2 × 10⁻¹³ | <0,1 % |
| Etiopía | 1,2 × 10⁻¹³ | <0,1 % |
| Irán | 1,2 × 10⁻¹³ | <0,1 % |
| Nigeria | 1,2 × 10⁻¹³ | <0,1 % |
| Afganistán | 1,1 × 10⁻¹³ | <0,1 % |
| Venezuela | 8,4 × 10⁻¹⁴ | <0,1 % |
| Sudáfrica | 6,2 × 10⁻¹⁴ | <0,1 % |
| Eslovenia | 4,9 × 10⁻¹⁴ | <0,1 % |
| Uzbekistán | 4,5 × 10⁻¹⁴ | <0,1 % |
| Corea del Sur | 4,2 × 10⁻¹⁴ | <0,1 % |
| Hungría | 3,8 × 10⁻¹⁴ | <0,1 % |
| Perú | 3,3 × 10⁻¹⁴ | <0,1 % |
| Japón | 2,1 × 10⁻¹⁴ | <0,1 % |
| Eslovaquia | 1,8 × 10⁻¹⁴ | <0,1 % |
| Georgia | 1,4 × 10⁻¹⁴ | <0,1 % |
| China | 4,7 × 10⁻¹⁵ | <0,1 % |
| Esuatini | 2,2 × 10⁻¹⁵ | <0,1 % |
| Bangladés | 2,9 × 10⁻¹⁶ | <0,1 % |
| Argentina | 9,8 × 10⁻¹⁷ | <0,1 % |
| Noruega | 5,8 × 10⁻¹⁷ | <0,1 % |
| Armenia | 2,0 × 10⁻¹⁸ | <0,1 % |
| Suma | 5,2 × 10⁻¹⁰ | = la cifra principal, 5,2 × 10⁻¹⁰ |
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 | 4,9 × 10⁻¹⁰ | 95 % |
| Trabajo | 2,5 × 10⁻¹¹ | 4,9 % |
| Suma | 5,2 × 10⁻¹⁰ | = la cifra principal, 5,2 × 10⁻¹⁰ |
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 | 4,6 × 10⁻¹⁰ | 88 % |
| Sin ubicar | 2,5 × 10⁻¹¹ | 4,9 % |
| Comando Vermelho - PCC | 5,5 × 10⁻¹² | 1,1 % |
| Jalisco Cartel New Generation - Sinaloa Cartel | 3,4 × 10⁻¹² | 0,65 % |
| Government of Russia (Soviet Union) - Civilians | 2,9 × 10⁻¹² | 0,56 % |
| Bonde do Maluco - Comando Vermelho | 2,0 × 10⁻¹² | 0,39 % |
| Cartel do Norte - Comando Vermelho | 1,8 × 10⁻¹² | 0,35 % |
| Bonde dos 40 - PCC | 1,3 × 10⁻¹² | 0,25 % |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 1,1 × 10⁻¹² | 0,21 % |
| Juarez Cartel - Sinaloa Cartel | 9,8 × 10⁻¹³ | 0,19 % |
| Comando Vermelho - GDE | 9,8 × 10⁻¹³ | 0,19 % |
| Nova Okaida - Estados Unidos | 9,7 × 10⁻¹³ | 0,19 % |
| GDE, PCC - Sindicato do Crime | 9,5 × 10⁻¹³ | 0,18 % |
| PCC - Sindicato do Crime | 8,5 × 10⁻¹³ | 0,16 % |
| Amigos Para Sempre - Família Terror Amapá | 8,4 × 10⁻¹³ | 0,16 % |
| India: Kashmir | 7,7 × 10⁻¹³ | 0,15 % |
| Carteles Unidos - Jalisco Cartel New Generation | 7,4 × 10⁻¹³ | 0,14 % |
| Comando Vermelho - Civilians | 7,0 × 10⁻¹³ | 0,13 % |
| Kuki - Meitei | 6,6 × 10⁻¹³ | 0,13 % |
| India: Government | 6,2 × 10⁻¹³ | 0,12 % |
| Bonde dos 13, PCC - Comando Vermelho | 5,0 × 10⁻¹³ | <0,1 % |
| Bonde dos 40 - Comando Vermelho | 5,0 × 10⁻¹³ | <0,1 % |
| Turkey: Kurdistan | 4,4 × 10⁻¹³ | <0,1 % |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 4,2 × 10⁻¹³ | <0,1 % |
| Comando Vermelho - Holanda | 3,6 × 10⁻¹³ | <0,1 % |
| Mozambique: Islamic State | 3,2 × 10⁻¹³ | <0,1 % |
| CPI-Maoist - Civilians | 2,8 × 10⁻¹³ | <0,1 % |
| Mauritania: Government | 2,7 × 10⁻¹³ | <0,1 % |
| Comando Vermelho - Massa | 2,7 × 10⁻¹³ | <0,1 % |
| Nova Okaida - PCC | 2,6 × 10⁻¹³ | <0,1 % |
| Bonde do Maluco - Katiara | 2,5 × 10⁻¹³ | <0,1 % |
| Bonde do Maluco - Civilians | 2,5 × 10⁻¹³ | <0,1 % |
| Indonesia: West Papua | 2,3 × 10⁻¹³ | <0,1 % |
| Pakistan: Government | 2,0 × 10⁻¹³ | <0,1 % |
| Bonde dos 40 - Civilians | 1,9 × 10⁻¹³ | <0,1 % |
| Russia (Soviet Union): Government | 1,9 × 10⁻¹³ | <0,1 % |
| EGC - Civilians | 1,9 × 10⁻¹³ | <0,1 % |
| Comando Vermelho - Terceiro Comando Puro | 1,9 × 10⁻¹³ | <0,1 % |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 1,9 × 10⁻¹³ | <0,1 % |
| IS - Civilians | 1,8 × 10⁻¹³ | <0,1 % |
| PCC - Civilians | 1,4 × 10⁻¹³ | <0,1 % |
| Ajeita - Bonde do Maluco | 1,2 × 10⁻¹³ | <0,1 % |
| Kashmir insurgents - Civilians | 1,2 × 10⁻¹³ | <0,1 % |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 1,2 × 10⁻¹³ | <0,1 % |
| Myanmar (Burma): Government | 1,1 × 10⁻¹³ | <0,1 % |
| OPM - Civilians | 1,1 × 10⁻¹³ | <0,1 % |
| Philippines: Government | 1,1 × 10⁻¹³ | <0,1 % |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 1,1 × 10⁻¹³ | <0,1 % |
| FARC-EMC - Civilians | 1,0 × 10⁻¹³ | <0,1 % |
| Iran: Government | 9,8 × 10⁻¹⁴ | <0,1 % |
| Government of Brazil - Civilians | 9,3 × 10⁻¹⁴ | <0,1 % |
| Anti-Bala - Bala na Cara | 8,5 × 10⁻¹⁴ | <0,1 % |
| Los Ardillos - Los Tlacos | 7,8 × 10⁻¹⁴ | <0,1 % |
| Bonde dos 40 - PCM | 7,8 × 10⁻¹⁴ | <0,1 % |
| Government of Venezuela - Civilians | 6,8 × 10⁻¹⁴ | <0,1 % |
| FARC-EMC - ELN | 6,5 × 10⁻¹⁴ | <0,1 % |
| Ethiopia: Government/Amhara | 6,3 × 10⁻¹⁴ | <0,1 % |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 5,6 × 10⁻¹⁴ | <0,1 % |
| Niger: Islamic State | 5,5 × 10⁻¹⁴ | <0,1 % |
| IS - Naparama | 5,4 × 10⁻¹⁴ | <0,1 % |
| Philippines: Islamic State | 5,3 × 10⁻¹⁴ | <0,1 % |
| Hindus (India) - Muslims (India) | 5,2 × 10⁻¹⁴ | <0,1 % |
| ELN - Civilians | 5,1 × 10⁻¹⁴ | <0,1 % |
| Afghanistan: Islamic State | 4,8 × 10⁻¹⁴ | <0,1 % |
| Nigeria: Islamic State | 4,6 × 10⁻¹⁴ | <0,1 % |
| Government of India - Civilians | 4,5 × 10⁻¹⁴ | <0,1 % |
| FARC - Segunda Marquetalia - Civilians | 4,3 × 10⁻¹⁴ | <0,1 % |
| Colombia: Government | 3,9 × 10⁻¹⁴ | <0,1 % |
| CATA - Codeta | 3,7 × 10⁻¹⁴ | <0,1 % |
| Government of Myanmar (Burma) - Civilians | 3,5 × 10⁻¹⁴ | <0,1 % |
| Los Costenos - Los Pepes | 3,4 × 10⁻¹⁴ | <0,1 % |
| Peru: Government | 3,3 × 10⁻¹⁴ | <0,1 % |
| EGC - ELN, FARC-EMC | 3,3 × 10⁻¹⁴ | <0,1 % |
| EGC - ELN | 3,2 × 10⁻¹⁴ | <0,1 % |
| Government of Indonesia - Civilians | 2,7 × 10⁻¹⁴ | <0,1 % |
| India: Western South East Asia | 2,6 × 10⁻¹⁴ | <0,1 % |
| Pakistan: Balochistan | 2,5 × 10⁻¹⁴ | <0,1 % |
| Government of South Africa - Civilians | 2,5 × 10⁻¹⁴ | <0,1 % |
| Government of Mozambique - Civilians | 2,4 × 10⁻¹⁴ | <0,1 % |
| Ethiopia: Oromiya | 2,3 × 10⁻¹⁴ | <0,1 % |
| Myanmar (Burma): Kachin | 2,2 × 10⁻¹⁴ | <0,1 % |
| Pakistan: Islamic State | 2,0 × 10⁻¹⁴ | <0,1 % |
| Afghanistan: Government | 1,7 × 10⁻¹⁴ | <0,1 % |
| Los Rusos, UPOEG - Los Tlacos | 1,6 × 10⁻¹⁴ | <0,1 % |
| Jalisco Cartel New Generation - Civilians | 1,5 × 10⁻¹⁴ | <0,1 % |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 1,4 × 10⁻¹⁴ | <0,1 % |
| Jalisco Cartel New Generation - Pájaros Sierra | 1,4 × 10⁻¹⁴ | <0,1 % |
| VHP - Civilians | 1,3 × 10⁻¹⁴ | <0,1 % |
| Government of Afghanistan - Civilians | 1,3 × 10⁻¹⁴ | <0,1 % |
| Government of Mexico - Civilians | 1,1 × 10⁻¹⁴ | <0,1 % |
| Government of Colombia - Civilians | 1,1 × 10⁻¹⁴ | <0,1 % |
| Thailand: Patani | 1,1 × 10⁻¹⁴ | <0,1 % |
| Myanmar (Burma): Karen | 1,1 × 10⁻¹⁴ | <0,1 % |
| IS - JAS | 1,1 × 10⁻¹⁴ | <0,1 % |
| Nigeria: Government | 1,1 × 10⁻¹⁴ | <0,1 % |
| Iran: Islamic State | 1,1 × 10⁻¹⁴ | <0,1 % |
| Niger: Government | 1,1 × 10⁻¹⁴ | <0,1 % |
| CPP - Civilians | 1,1 × 10⁻¹⁴ | <0,1 % |
| Russia: Islamic State | 9,9 × 10⁻¹⁵ | <0,1 % |
| Los Ardillos - Los Rojos | 9,8 × 10⁻¹⁵ | <0,1 % |
| Government of Ethiopia - Civilians | 9,5 × 10⁻¹⁵ | <0,1 % |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 9,2 × 10⁻¹⁵ | <0,1 % |
| Myanmar (Burma): Karenni | 8,8 × 10⁻¹⁵ | <0,1 % |
| PKK - Civilians | 8,3 × 10⁻¹⁵ | <0,1 % |
| Government of Iran - Civilians | 8,2 × 10⁻¹⁵ | <0,1 % |
| Amigos dos Amigos - Comando Vermelho | 7,8 × 10⁻¹⁵ | <0,1 % |
| FDN - PCC | 7,8 × 10⁻¹⁵ | <0,1 % |
| OLA - Civilians | 7,4 × 10⁻¹⁵ | <0,1 % |
| Shia (Pakistan) - Sunni (Pakistan) | 6,7 × 10⁻¹⁵ | <0,1 % |
| Fano - Civilians | 6,6 × 10⁻¹⁵ | <0,1 % |
| India - Pakistan | 6,4 × 10⁻¹⁵ | <0,1 % |
| India: Nagaland | 6,4 × 10⁻¹⁵ | <0,1 % |
| NSCN-IM - Civilians | 6,4 × 10⁻¹⁵ | <0,1 % |
| PLFI - Civilians | 6,4 × 10⁻¹⁵ | <0,1 % |
| Fulani - Mwaghavul | 6,4 × 10⁻¹⁵ | <0,1 % |
| Anuak - Nuer | 6,4 × 10⁻¹⁵ | <0,1 % |
| Djerma (Zherma) - Fulani | 6,1 × 10⁻¹⁵ | <0,1 % |
| Fulani - Mwaghavul , Ron | 5,9 × 10⁻¹⁵ | <0,1 % |
| Fulani - Tiv | 5,7 × 10⁻¹⁵ | <0,1 % |
| JNIM - Civilians | 5,2 × 10⁻¹⁵ | <0,1 % |
| Comandos de la Frontera - Civilians | 5,1 × 10⁻¹⁵ | <0,1 % |
| Afghanistan - Pakistan | 4,9 × 10⁻¹⁵ | <0,1 % |
| Farmers (Nigeria) - Herders (Nigeria) | 4,8 × 10⁻¹⁵ | <0,1 % |
| Myanmar (Burma): Arakan | 4,7 × 10⁻¹⁵ | <0,1 % |
| JAS - Civilians | 4,5 × 10⁻¹⁵ | <0,1 % |
| Russia (Soviet Union): Chechnya | 4,0 × 10⁻¹⁵ | <0,1 % |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 3,8 × 10⁻¹⁵ | <0,1 % |
| Nigeria: Biafra | 3,5 × 10⁻¹⁵ | <0,1 % |
| Gulf Cartel - Sinaloa Cartel | 3,3 × 10⁻¹⁵ | <0,1 % |
| Gulf Cartel - Jalisco Cartel New Generation | 3,3 × 10⁻¹⁵ | <0,1 % |
| Myanmar (Burma): Kokang | 2,9 × 10⁻¹⁵ | <0,1 % |
| BRAS - Civilians | 2,8 × 10⁻¹⁵ | <0,1 % |
| Birom - Fulani | 2,6 × 10⁻¹⁵ | <0,1 % |
| Los Costenos - Civilians | 2,5 × 10⁻¹⁵ | <0,1 % |
| Atyap - Fulani | 2,2 × 10⁻¹⁵ | <0,1 % |
| Government of eSwatini (Swaziland) - Civilians | 2,2 × 10⁻¹⁵ | <0,1 % |
| Karimjo - Wurukum | 2,1 × 10⁻¹⁵ | <0,1 % |
| Black Axe - Eyie | 2,0 × 10⁻¹⁵ | <0,1 % |
| Forces of Terwase Akwanza - Civilians | 1,7 × 10⁻¹⁵ | <0,1 % |
| Amhara - Oromo | 1,7 × 10⁻¹⁵ | <0,1 % |
| Fulani - Idoma | 1,6 × 10⁻¹⁵ | <0,1 % |
| TTP - Civilians | 1,6 × 10⁻¹⁵ | <0,1 % |
| Fulani - Kuteb | 1,5 × 10⁻¹⁵ | <0,1 % |
| Government of Pakistan - Civilians | 1,4 × 10⁻¹⁵ | <0,1 % |
| Philippines: Mindanao | 1,3 × 10⁻¹⁵ | <0,1 % |
| Government of Philippines - Civilians | 1,3 × 10⁻¹⁵ | <0,1 % |
| Government of Nigeria - Civilians | 1,1 × 10⁻¹⁵ | <0,1 % |
| Chain Guys - Full Force | 9,0 × 10⁻¹⁶ | <0,1 % |
| NUG - Civilians | 8,8 × 10⁻¹⁶ | <0,1 % |
| Guraghe - Mareqo | 7,5 × 10⁻¹⁶ | <0,1 % |
| Guerreros Unidos - Los Tlacos | 5,4 × 10⁻¹⁶ | <0,1 % |
| Hausa - Fulani | 5,1 × 10⁻¹⁶ | <0,1 % |
| Murle - Nuer | 5,0 × 10⁻¹⁶ | <0,1 % |
| Patani insurgents - Civilians | 3,8 × 10⁻¹⁶ | <0,1 % |
| Fulani - Irigwe | 3,6 × 10⁻¹⁶ | <0,1 % |
| Somalia: Government | 3,0 × 10⁻¹⁶ | <0,1 % |
| Fulani - Igala | 3,0 × 10⁻¹⁶ | <0,1 % |
| ARSA - Civilians | 2,8 × 10⁻¹⁶ | <0,1 % |
| Greenlanders - NDV | 2,7 × 10⁻¹⁶ | <0,1 % |
| Black Axe - Maphite | 2,7 × 10⁻¹⁶ | <0,1 % |
| LeJ - Civilians | 2,3 × 10⁻¹⁶ | <0,1 % |
| Supporters of APC - Supporters of PDP | 1,8 × 10⁻¹⁶ | <0,1 % |
| Amhara - Gumuz | 1,5 × 10⁻¹⁶ | <0,1 % |
| Black Axe - SVC | 1,5 × 10⁻¹⁶ | <0,1 % |
| IPOB - Civilians | 1,5 × 10⁻¹⁶ | <0,1 % |
| Agatu - Fulani | 1,2 × 10⁻¹⁶ | <0,1 % |
| IS - Yan Gora | 1,2 × 10⁻¹⁶ | <0,1 % |
| Deebam - NDV | 1,2 × 10⁻¹⁶ | <0,1 % |
| Myanmar (Burma): Shan | 1,2 × 10⁻¹⁶ | <0,1 % |
| Jukun - Tiv | 6,0 × 10⁻¹⁷ | <0,1 % |
| Supporters of Awami League - Supporters of BNP | 4,8 × 10⁻¹⁷ | <0,1 % |
| Cameroon: Ambazonia | 3,0 × 10⁻¹⁷ | <0,1 % |
| Ambazonia insurgents - Civilians | 3,0 × 10⁻¹⁷ | <0,1 % |
| Supporters of Awami League - Supporters of Jamaat-e-Islami | 2,4 × 10⁻¹⁷ | <0,1 % |
| Azerbaijan: Artsakh (Nagorno-Karabakh) | 2,0 × 10⁻¹⁸ | <0,1 % |
| Suma | 5,2 × 10⁻¹⁰ | = la cifra principal, 5,2 × 10⁻¹⁰ |
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 | 1,4 × 10⁻⁶ | 71 % |
| Crop and animal production, hunting and related service activities | 1,3 × 10⁻⁷ | 6,9 % |
| Manufacture of basic metals | 7,0 × 10⁻⁸ | 3,7 % |
| Land transport and transport via pipelines | 6,3 × 10⁻⁸ | 3,3 % |
| Manufacture of rubber and plastic products | 5,2 × 10⁻⁸ | 2,7 % |
| Forestry and logging | 5,0 × 10⁻⁸ | 2,6 % |
| Water transport | 4,5 × 10⁻⁸ | 2,4 % |
| Warehousing and support activities for transportation | 3,0 × 10⁻⁸ | 1,6 % |
| Air transport | 1,8 × 10⁻⁸ | 0,97 % |
| Manufacture of chemicals and chemical products | 1,4 × 10⁻⁸ | 0,72 % |
| Wholesale trade, except of motor vehicles and motorcycles | 1,4 × 10⁻⁸ | 0,72 % |
| Manufacture of fabricated metal products, except machinery and equipment | 5,8 × 10⁻⁹ | 0,31 % |
| Retail trade, except of motor vehicles and motorcycles | 5,1 × 10⁻⁹ | 0,27 % |
| Postal and courier activities | 4,5 × 10⁻⁹ | 0,24 % |
| Manufacture of coke and refined petroleum products | 4,3 × 10⁻⁹ | 0,22 % |
| Construction | 4,0 × 10⁻⁹ | 0,21 % |
| Manufacture of other transport equipment | 3,3 × 10⁻⁹ | 0,17 % |
| Electricity, gas, steam and air conditioning supply | 2,8 × 10⁻⁹ | 0,15 % |
| Security and investigation, service and landscape, office administrative and support activities | 2,7 × 10⁻⁹ | 0,14 % |
| Sewerage, waste management, remediation activities | 2,5 × 10⁻⁹ | 0,13 % |
| Water collection, treatment and supply | 2,4 × 10⁻⁹ | 0,12 % |
| Employment activities | 1,9 × 10⁻⁹ | 0,10 % |
| Rental and leasing activities | 1,8 × 10⁻⁹ | <0,1 % |
| Public administration and defence; compulsory social security | 1,5 × 10⁻⁹ | <0,1 % |
| Manufacture of paper and paper products | 1,0 × 10⁻⁹ | <0,1 % |
| Manufacture of textiles, wearing apparel, leather and related products | 9,8 × 10⁻¹⁰ | <0,1 % |
| Legal and accounting activities; activities of head offices; management consultancy activities | 9,8 × 10⁻¹⁰ | <0,1 % |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 9,7 × 10⁻¹⁰ | <0,1 % |
| Manufacture of machinery and equipment n.e.c. | 8,3 × 10⁻¹⁰ | <0,1 % |
| Accommodation and food service activities | 7,5 × 10⁻¹⁰ | <0,1 % |
| Manufacture of food products; beverages and tobacco products | 7,3 × 10⁻¹⁰ | <0,1 % |
| Manufacture of other non-metallic mineral products | 7,2 × 10⁻¹⁰ | <0,1 % |
| Manufacture of computer, electronic and optical products | 6,9 × 10⁻¹⁰ | <0,1 % |
| Manufacture of motor vehicles, trailers and semi-trailers | 5,7 × 10⁻¹⁰ | <0,1 % |
| Manufacture of electrical equipment | 4,8 × 10⁻¹⁰ | <0,1 % |
| Repair and installation of machinery and equipment | 4,1 × 10⁻¹⁰ | <0,1 % |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 3,4 × 10⁻¹⁰ | <0,1 % |
| Real estate activities | 3,1 × 10⁻¹⁰ | <0,1 % |
| Architectural and engineering activities; technical testing and analysis | 3,0 × 10⁻¹⁰ | <0,1 % |
| Human health activities | 2,9 × 10⁻¹⁰ | <0,1 % |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 2,5 × 10⁻¹⁰ | <0,1 % |
| Travel agency, tour operator reservation service and related activities | 2,5 × 10⁻¹⁰ | <0,1 % |
| Repair of computers and personal and household goods | 2,4 × 10⁻¹⁰ | <0,1 % |
| Advertising and market research | 2,4 × 10⁻¹⁰ | <0,1 % |
| Computer programming, consultancy, and information service activities | 2,2 × 10⁻¹⁰ | <0,1 % |
| Activities of membership organisations | 1,9 × 10⁻¹⁰ | <0,1 % |
| Printing and reproduction of recorded media | 1,9 × 10⁻¹⁰ | <0,1 % |
| Other personal service activities | 1,8 × 10⁻¹⁰ | <0,1 % |
| Financial service activities, except insurance and pension funding | 1,7 × 10⁻¹⁰ | <0,1 % |
| Manufacture of furniture; other manufacturing | 1,6 × 10⁻¹⁰ | <0,1 % |
| Other professional, scientific and technical activities; veterinary activities | 1,4 × 10⁻¹⁰ | <0,1 % |
| Fishing and aquaculture | 1,3 × 10⁻¹⁰ | <0,1 % |
| Sports activities and amusement and recreation activities | 1,2 × 10⁻¹⁰ | <0,1 % |
| Telecommunications | 1,1 × 10⁻¹⁰ | <0,1 % |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 1,0 × 10⁻¹⁰ | <0,1 % |
| Education | 6,7 × 10⁻¹¹ | <0,1 % |
| Motion picture, video, television programme production; programming and broadcasting activities | 5,1 × 10⁻¹¹ | <0,1 % |
| Insurance, reinsurance and pension funding, except compulsory social security | 4,1 × 10⁻¹¹ | <0,1 % |
| Publishing activities | 4,1 × 10⁻¹¹ | <0,1 % |
| Activities auxiliary to financial services and insurance activities | 4,0 × 10⁻¹¹ | <0,1 % |
| Scientific research and development | 2,8 × 10⁻¹¹ | <0,1 % |
| Residential care activities and social work activities without accommodation | 2,1 × 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 | 1,9 × 10⁻⁶ | = la cifra principal, 1,9 × 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 | 1,6 × 10⁻⁶ | 86 % |
| México | 8,8 × 10⁻⁸ | 4,7 % |
| Brasil | 3,1 × 10⁻⁸ | 1,7 % |
| Estados Unidos | 2,9 × 10⁻⁸ | 1,6 % |
| Turquía | 2,7 × 10⁻⁸ | 1,4 % |
| Rusia | 2,1 × 10⁻⁸ | 1,1 % |
| Corea del Sur | 1,4 × 10⁻⁸ | 0,73 % |
| Japón | 8,9 × 10⁻⁹ | 0,47 % |
| Canadá | 8,9 × 10⁻⁹ | 0,47 % |
| Francia | 6,9 × 10⁻⁹ | 0,36 % |
| Italia | 5,2 × 10⁻⁹ | 0,27 % |
| Alemania | 5,0 × 10⁻⁹ | 0,26 % |
| India | 4,3 × 10⁻⁹ | 0,22 % |
| Polonia | 3,4 × 10⁻⁹ | 0,18 % |
| Argentina | 3,3 × 10⁻⁹ | 0,17 % |
| España | 3,1 × 10⁻⁹ | 0,16 % |
| Indonesia | 2,0 × 10⁻⁹ | 0,10 % |
| Portugal | 1,5 × 10⁻⁹ | <0,1 % |
| Rumanía | 1,4 × 10⁻⁹ | <0,1 % |
| Chequia | 1,3 × 10⁻⁹ | <0,1 % |
| Australia | 1,1 × 10⁻⁹ | <0,1 % |
| Bulgaria | 1,0 × 10⁻⁹ | <0,1 % |
| Austria | 9,0 × 10⁻¹⁰ | <0,1 % |
| Hungría | 6,8 × 10⁻¹⁰ | <0,1 % |
| Bélgica | 5,1 × 10⁻¹⁰ | <0,1 % |
| Lituania | 4,7 × 10⁻¹⁰ | <0,1 % |
| Grecia | 4,4 × 10⁻¹⁰ | <0,1 % |
| Países Bajos | 4,0 × 10⁻¹⁰ | <0,1 % |
| Suecia | 3,9 × 10⁻¹⁰ | <0,1 % |
| Eslovaquia | 3,6 × 10⁻¹⁰ | <0,1 % |
| Eslovenia | 3,3 × 10⁻¹⁰ | <0,1 % |
| Suiza | 3,2 × 10⁻¹⁰ | <0,1 % |
| Dinamarca | 3,2 × 10⁻¹⁰ | <0,1 % |
| Finlandia | 2,8 × 10⁻¹⁰ | <0,1 % |
| Croacia | 2,7 × 10⁻¹⁰ | <0,1 % |
| Letonia | 2,3 × 10⁻¹⁰ | <0,1 % |
| Irlanda | 2,2 × 10⁻¹⁰ | <0,1 % |
| Noruega | 2,2 × 10⁻¹⁰ | <0,1 % |
| Arabia Saudí | 1,8 × 10⁻¹⁰ | <0,1 % |
| Luxemburgo | 1,2 × 10⁻¹⁰ | <0,1 % |
| Chipre | 9,8 × 10⁻¹¹ | <0,1 % |
| Estonia | 9,3 × 10⁻¹¹ | <0,1 % |
| Sudáfrica | 7,2 × 10⁻¹¹ | <0,1 % |
| Reino Unido | 6,5 × 10⁻¹¹ | <0,1 % |
| China | 2,2 × 10⁻¹¹ | <0,1 % |
| Malta | 1,1 × 10⁻¹¹ | <0,1 % |
| Serbia | 3,3 × 10⁻¹⁴ | <0,1 % |
| Suma | 1,9 × 10⁻⁶ | = la cifra principal, 1,9 × 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/car-tyre/