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Cómo se construye la cifra de Mantequilla
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 butter from cow's milk. 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 — 2,0 × 10⁻⁵ por unidad(0,87–4,3 × 10⁻⁵)BAJAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Vía monetaria — 9,2 × 10⁻⁵ por cada 1.000 € gastados en su industria(0,63–1,3 × 10⁻⁴)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 |
|---|---|---|---|---|
| Leche | 0,022 t | 9,1 × 10⁻⁷ | 2,0 × 10⁻⁵ | 100 % |
| Suma | 2,0 × 10⁻⁵ | = la cifra principal, 2,0 × 10⁻⁵ | ||
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 |
|---|---|---|
| Alemania | 3,9 × 10⁻⁶ | 20 % |
| Francia | 3,3 × 10⁻⁶ | 16 % |
| Turquía | 2,4 × 10⁻⁶ | 12 % |
| Italia | 1,6 × 10⁻⁶ | 7,9 % |
| España | 1,6 × 10⁻⁶ | 7,8 % |
| Suiza | 7,7 × 10⁻⁷ | 3,9 % |
| Estados Unidos | 7,5 × 10⁻⁷ | 3,8 % |
| Colombia | 6,9 × 10⁻⁷ | 3,5 % |
| Portugal | 6,0 × 10⁻⁷ | 3,0 % |
| Argentina | 4,8 × 10⁻⁷ | 2,4 % |
| Países Bajos | 4,4 × 10⁻⁷ | 2,2 % |
| Japón | 4,2 × 10⁻⁷ | 2,1 % |
| Dinamarca | 2,9 × 10⁻⁷ | 1,5 % |
| Bélgica | 2,7 × 10⁻⁷ | 1,4 % |
| Ucrania | 2,6 × 10⁻⁷ | 1,3 % |
| Austria | 2,5 × 10⁻⁷ | 1,3 % |
| Israel | 2,2 × 10⁻⁷ | 1,1 % |
| Irlanda | 1,9 × 10⁻⁷ | 0,95 % |
| Polonia | 1,9 × 10⁻⁷ | 0,95 % |
| Canadá | 1,4 × 10⁻⁷ | 0,68 % |
| Sudán | 1,3 × 10⁻⁷ | 0,64 % |
| Somalia | 1,2 × 10⁻⁷ | 0,63 % |
| Chequia | 1,2 × 10⁻⁷ | 0,61 % |
| Suecia | 9,1 × 10⁻⁸ | 0,46 % |
| Finlandia | 9,0 × 10⁻⁸ | 0,45 % |
| Luxemburgo | 8,6 × 10⁻⁸ | 0,43 % |
| Hungría | 6,0 × 10⁻⁸ | 0,30 % |
| Eslovenia | 5,4 × 10⁻⁸ | 0,27 % |
| Australia | 5,1 × 10⁻⁸ | 0,26 % |
| México | 3,7 × 10⁻⁸ | 0,19 % |
| Eslovaquia | 3,0 × 10⁻⁸ | 0,15 % |
| Estonia | 2,9 × 10⁻⁸ | 0,15 % |
| Pakistán | 2,6 × 10⁻⁸ | 0,13 % |
| Tailandia | 2,3 × 10⁻⁸ | 0,11 % |
| Siria | 2,1 × 10⁻⁸ | 0,11 % |
| Etiopía | 2,1 × 10⁻⁸ | 0,10 % |
| Lituania | 2,0 × 10⁻⁸ | 0,10 % |
| Croacia | 2,0 × 10⁻⁸ | <0,1 % |
| Grecia | 1,9 × 10⁻⁸ | <0,1 % |
| Islandia | 1,6 × 10⁻⁸ | <0,1 % |
| Malta | 1,4 × 10⁻⁸ | <0,1 % |
| Chipre | 1,3 × 10⁻⁸ | <0,1 % |
| Rumanía | 1,3 × 10⁻⁸ | <0,1 % |
| Níger | 1,3 × 10⁻⁸ | <0,1 % |
| Burkina Faso | 1,3 × 10⁻⁸ | <0,1 % |
| Mali | 1,2 × 10⁻⁸ | <0,1 % |
| Bielorrusia | 9,3 × 10⁻⁹ | <0,1 % |
| Yemen | 8,4 × 10⁻⁹ | <0,1 % |
| Myanmar (Birmania) | 8,1 × 10⁻⁹ | <0,1 % |
| Afganistán | 6,8 × 10⁻⁹ | <0,1 % |
| Letonia | 6,5 × 10⁻⁹ | <0,1 % |
| Brasil | 6,1 × 10⁻⁹ | <0,1 % |
| India | 5,7 × 10⁻⁹ | <0,1 % |
| Kenia | 5,5 × 10⁻⁹ | <0,1 % |
| Sudán del Sur | 4,2 × 10⁻⁹ | <0,1 % |
| Noruega | 4,0 × 10⁻⁹ | <0,1 % |
| Georgia | 2,6 × 10⁻⁹ | <0,1 % |
| Bulgaria | 2,5 × 10⁻⁹ | <0,1 % |
| Sri Lanka | 2,4 × 10⁻⁹ | <0,1 % |
| Haití | 2,2 × 10⁻⁹ | <0,1 % |
| Uzbekistán | 1,5 × 10⁻⁹ | <0,1 % |
| Ecuador | 1,5 × 10⁻⁹ | <0,1 % |
| Moldavia | 1,4 × 10⁻⁹ | <0,1 % |
| Azerbaiyán | 1,3 × 10⁻⁹ | <0,1 % |
| Uganda | 1,1 × 10⁻⁹ | <0,1 % |
| Nigeria | 1,1 × 10⁻⁹ | <0,1 % |
| Líbano | 1,0 × 10⁻⁹ | <0,1 % |
| Honduras | 8,7 × 10⁻¹⁰ | <0,1 % |
| Camerún | 8,5 × 10⁻¹⁰ | <0,1 % |
| República Centroafricana | 6,5 × 10⁻¹⁰ | <0,1 % |
| Burundi | 5,1 × 10⁻¹⁰ | <0,1 % |
| San Vicente y las Granadinas | 5,0 × 10⁻¹⁰ | <0,1 % |
| Rusia | 4,2 × 10⁻¹⁰ | <0,1 % |
| Armenia | 3,4 × 10⁻¹⁰ | <0,1 % |
| Panamá | 3,3 × 10⁻¹⁰ | <0,1 % |
| Costa Rica | 2,5 × 10⁻¹⁰ | <0,1 % |
| Chad | 2,3 × 10⁻¹⁰ | <0,1 % |
| Turkmenistán | 1,5 × 10⁻¹⁰ | <0,1 % |
| Mongolia | 1,5 × 10⁻¹⁰ | <0,1 % |
| Benín | 1,2 × 10⁻¹⁰ | <0,1 % |
| Bangladés | 1,1 × 10⁻¹⁰ | <0,1 % |
| Irak | 8,3 × 10⁻¹¹ | <0,1 % |
| Venezuela | 5,4 × 10⁻¹¹ | <0,1 % |
| Guatemala | 5,3 × 10⁻¹¹ | <0,1 % |
| República Democrática del Congo | 4,9 × 10⁻¹¹ | <0,1 % |
| Túnez | 4,2 × 10⁻¹¹ | <0,1 % |
| Irán | 4,1 × 10⁻¹¹ | <0,1 % |
| Marruecos | 3,8 × 10⁻¹¹ | <0,1 % |
| Seychelles | 3,2 × 10⁻¹¹ | <0,1 % |
| Mauritania | 3,1 × 10⁻¹¹ | <0,1 % |
| Togo | 2,8 × 10⁻¹¹ | <0,1 % |
| Mozambique | 2,2 × 10⁻¹¹ | <0,1 % |
| Mauricio | 1,8 × 10⁻¹¹ | <0,1 % |
| Egipto | 1,7 × 10⁻¹¹ | <0,1 % |
| Indonesia | 1,3 × 10⁻¹¹ | <0,1 % |
| Perú | 1,2 × 10⁻¹¹ | <0,1 % |
| Filipinas | 9,9 × 10⁻¹² | <0,1 % |
| Arabia Saudí | 7,9 × 10⁻¹² | <0,1 % |
| Sudáfrica | 7,3 × 10⁻¹² | <0,1 % |
| Esuatini | 7,1 × 10⁻¹² | <0,1 % |
| Ghana | 1,6 × 10⁻¹² | <0,1 % |
| Bolivia | 1,4 × 10⁻¹² | <0,1 % |
| Argelia | 1,4 × 10⁻¹² | <0,1 % |
| China | 8,0 × 10⁻¹³ | <0,1 % |
| Libia | 4,4 × 10⁻¹³ | <0,1 % |
| Papúa Nueva Guinea | 4,5 × 10⁻¹⁴ | <0,1 % |
| Suma | 2,0 × 10⁻⁵ | = la cifra principal, 2,0 × 10⁻⁵ |
3 · Por qué canal de daño
La misma cifra principal, por canal de daño: conflicto, trabajo, privación, exposición.
| Canal | Aportación | Parte |
|---|---|---|
| Trabajo | 1,9 × 10⁻⁵ | 96 % |
| Conflicto y violencia política | 8,4 × 10⁻⁷ | 4,2 % |
| Suma | 2,0 × 10⁻⁵ | = la cifra principal, 2,0 × 10⁻⁵ |
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 |
|---|---|---|
| Sin ubicar | 1,9 × 10⁻⁵ | 96 % |
| Russia - Ukraine | 2,5 × 10⁻⁷ | 1,3 % |
| Israel: Palestine | 1,3 × 10⁻⁷ | 0,65 % |
| Somalia: Government | 1,1 × 10⁻⁷ | 0,57 % |
| Sudan: Government | 8,2 × 10⁻⁸ | 0,41 % |
| RSF - Civilians | 3,5 × 10⁻⁸ | 0,17 % |
| Pakistan: Government | 1,9 × 10⁻⁸ | <0,1 % |
| Jalisco Cartel New Generation - Sinaloa Cartel | 1,5 × 10⁻⁸ | <0,1 % |
| Ethiopia: Government/Amhara | 1,1 × 10⁻⁸ | <0,1 % |
| SSC-Khatumo Administration - Republic of Somaliland | 8,6 × 10⁻⁹ | <0,1 % |
| Syria: Government | 8,4 × 10⁻⁹ | <0,1 % |
| IS - Civilians | 8,1 × 10⁻⁹ | <0,1 % |
| Burkina Faso: Government | 7,6 × 10⁻⁹ | <0,1 % |
| Yemen (North Yemen): Government | 7,2 × 10⁻⁹ | <0,1 % |
| Niger: Islamic State | 6,5 × 10⁻⁹ | <0,1 % |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 6,3 × 10⁻⁹ | <0,1 % |
| Juarez Cartel - Sinaloa Cartel | 5,7 × 10⁻⁹ | <0,1 % |
| Syria: Islamic State | 4,9 × 10⁻⁹ | <0,1 % |
| Kenya: Northeastern Province and Coast | 4,8 × 10⁻⁹ | <0,1 % |
| Mali: Government | 4,7 × 10⁻⁹ | <0,1 % |
| Myanmar (Burma): Government | 4,5 × 10⁻⁹ | <0,1 % |
| Carteles Unidos - Jalisco Cartel New Generation | 4,3 × 10⁻⁹ | <0,1 % |
| Ethiopia: Oromiya | 4,0 × 10⁻⁹ | <0,1 % |
| Beni Halba Baggara - Salamat Baggara | 3,8 × 10⁻⁹ | <0,1 % |
| Hamas - Civilians | 3,3 × 10⁻⁹ | <0,1 % |
| JNIM - Civilians | 3,2 × 10⁻⁹ | <0,1 % |
| Afghanistan: Islamic State | 2,9 × 10⁻⁹ | <0,1 % |
| Luac Jang Dinka - Pakam Dinka | 2,8 × 10⁻⁹ | <0,1 % |
| SNA - SDF | 2,7 × 10⁻⁹ | <0,1 % |
| Habaniya - Salamat Baggara | 2,6 × 10⁻⁹ | <0,1 % |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 2,5 × 10⁻⁹ | <0,1 % |
| Pakistan: Balochistan | 2,4 × 10⁻⁹ | <0,1 % |
| Pakistan: Islamic State | 1,9 × 10⁻⁹ | <0,1 % |
| Arab - Gimir | 1,9 × 10⁻⁹ | <0,1 % |
| IS - JNIM | 1,9 × 10⁻⁹ | <0,1 % |
| Comando Vermelho - PCC | 1,8 × 10⁻⁹ | <0,1 % |
| Iran - Israel | 1,7 × 10⁻⁹ | <0,1 % |
| India: Kashmir | 1,7 × 10⁻⁹ | <0,1 % |
| Al-Shabaab - Civilians | 1,7 × 10⁻⁹ | <0,1 % |
| Government of Ethiopia - Civilians | 1,6 × 10⁻⁹ | <0,1 % |
| Government of Myanmar (Burma) - Civilians | 1,6 × 10⁻⁹ | <0,1 % |
| Burkina Faso: Islamic State | 1,6 × 10⁻⁹ | <0,1 % |
| Kuki - Meitei | 1,4 × 10⁻⁹ | <0,1 % |
| Afghanistan: Government | 1,4 × 10⁻⁹ | <0,1 % |
| India: Government | 1,4 × 10⁻⁹ | <0,1 % |
| Government of Russia (Soviet Union) - Civilians | 1,4 × 10⁻⁹ | <0,1 % |
| OLA - Civilians | 1,3 × 10⁻⁹ | <0,1 % |
| IS - SDF | 1,3 × 10⁻⁹ | <0,1 % |
| Niger: Government | 1,3 × 10⁻⁹ | <0,1 % |
| Azerbaijan: Artsakh (Nagorno-Karabakh) | 1,2 × 10⁻⁹ | <0,1 % |
| Turkey: Kurdistan | 1,2 × 10⁻⁹ | <0,1 % |
| Government of Mali - Civilians | 1,2 × 10⁻⁹ | <0,1 % |
| Twic Dinka - Ngok Dinka | 1,1 × 10⁻⁹ | <0,1 % |
| Fano - Civilians | 1,1 × 10⁻⁹ | <0,1 % |
| Anuak - Nuer | 1,1 × 10⁻⁹ | <0,1 % |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 1,1 × 10⁻⁹ | <0,1 % |
| Israel: Southern Lebanon | 1,1 × 10⁻⁹ | <0,1 % |
| Deir ez Zor Military Council - SDF | 9,9 × 10⁻¹⁰ | <0,1 % |
| Mali: Government/Azawad | 9,9 × 10⁻¹⁰ | <0,1 % |
| Mali: Islamic State | 9,7 × 10⁻¹⁰ | <0,1 % |
| AQAP - Forces of the Presidential Leadership Council | 9,7 × 10⁻¹⁰ | <0,1 % |
| Nigeria: Government | 9,0 × 10⁻¹⁰ | <0,1 % |
| Government of Burkina Faso - Civilians | 8,3 × 10⁻¹⁰ | <0,1 % |
| Myanmar (Burma): Kachin | 7,7 × 10⁻¹⁰ | <0,1 % |
| DZ Mafia - Yoda | 7,7 × 10⁻¹⁰ | <0,1 % |
| Government of Afghanistan - Civilians | 7,6 × 10⁻¹⁰ | <0,1 % |
| M18 - MS-13 | 7,4 × 10⁻¹⁰ | <0,1 % |
| Government of South Sudan - Civilians | 7,1 × 10⁻¹⁰ | <0,1 % |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 6,8 × 10⁻¹⁰ | <0,1 % |
| Shia (Pakistan) - Sunni (Pakistan) | 6,4 × 10⁻¹⁰ | <0,1 % |
| Bonde do Maluco - Comando Vermelho | 6,3 × 10⁻¹⁰ | <0,1 % |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 6,2 × 10⁻¹⁰ | <0,1 % |
| CPI-Maoist - Civilians | 6,1 × 10⁻¹⁰ | <0,1 % |
| Sa'ad subclan of Habar Gidir clan (Hawiye) - Leelkase subclan (Darod) | 5,9 × 10⁻¹⁰ | <0,1 % |
| Arab - Masalit | 5,9 × 10⁻¹⁰ | <0,1 % |
| Cartel do Norte - Comando Vermelho | 5,8 × 10⁻¹⁰ | <0,1 % |
| EGC - Civilians | 5,1 × 10⁻¹⁰ | <0,1 % |
| Myanmar (Burma): Karen | 5,0 × 10⁻¹⁰ | <0,1 % |
| Dan na Ambassagou - JNIM | 4,9 × 10⁻¹⁰ | <0,1 % |
| Djerma (Zherma) - Fulani | 4,8 × 10⁻¹⁰ | <0,1 % |
| Los Choneros - Los Lobos | 4,8 × 10⁻¹⁰ | <0,1 % |
| Los Ardillos - Los Tlacos | 4,5 × 10⁻¹⁰ | <0,1 % |
| JAS - Civilians | 4,5 × 10⁻¹⁰ | <0,1 % |
| Somalia: Islamic State | 4,4 × 10⁻¹⁰ | <0,1 % |
| Syria: Government/Rojava Kurdistan | 4,2 × 10⁻¹⁰ | <0,1 % |
| Bonde dos 40 - PCC | 4,1 × 10⁻¹⁰ | <0,1 % |
| Government of Haiti - Civilians | 4,1 × 10⁻¹⁰ | <0,1 % |
| Nigeria: Islamic State | 4,0 × 10⁻¹⁰ | <0,1 % |
| Myanmar (Burma): Karenni | 4,0 × 10⁻¹⁰ | <0,1 % |
| Central African Republic: Government | 3,9 × 10⁻¹⁰ | <0,1 % |
| Hausa - Nuba | 3,8 × 10⁻¹⁰ | <0,1 % |
| G9 - G-Pep | 3,7 × 10⁻¹⁰ | <0,1 % |
| Burundi: Government | 3,5 × 10⁻¹⁰ | <0,1 % |
| Terre Noire - Civilians | 3,5 × 10⁻¹⁰ | <0,1 % |
| 5 Segond, Taliban - Civilians | 3,4 × 10⁻¹⁰ | <0,1 % |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 3,3 × 10⁻¹⁰ | <0,1 % |
| Grand Ravine - Civilians | 3,1 × 10⁻¹⁰ | <0,1 % |
| Uganda: Islamic State | 3,1 × 10⁻¹⁰ | <0,1 % |
| Afghanistan - Pakistan | 3,1 × 10⁻¹⁰ | <0,1 % |
| Comando Vermelho - GDE | 3,1 × 10⁻¹⁰ | <0,1 % |
| Nova Okaida - Estados Unidos | 3,1 × 10⁻¹⁰ | <0,1 % |
| GDE, PCC - Sindicato do Crime | 3,0 × 10⁻¹⁰ | <0,1 % |
| Amhara - Oromo | 2,9 × 10⁻¹⁰ | <0,1 % |
| Colombia: Government | 2,9 × 10⁻¹⁰ | <0,1 % |
| FARC-EMC - Civilians | 2,7 × 10⁻¹⁰ | <0,1 % |
| Kashmir insurgents - Civilians | 2,7 × 10⁻¹⁰ | <0,1 % |
| PCC - Sindicato do Crime | 2,7 × 10⁻¹⁰ | <0,1 % |
| BRAS - Civilians | 2,7 × 10⁻¹⁰ | <0,1 % |
| Amigos Para Sempre - Família Terror Amapá | 2,7 × 10⁻¹⁰ | <0,1 % |
| Cameroon: Ambazonia | 2,6 × 10⁻¹⁰ | <0,1 % |
| Forces of Tony Peña - Los Hondureños | 2,5 × 10⁻¹⁰ | <0,1 % |
| G-Pep - Civilians | 2,4 × 10⁻¹⁰ | <0,1 % |
| Government of Israel - Civilians | 2,2 × 10⁻¹⁰ | <0,1 % |
| Comando Vermelho - Civilians | 2,2 × 10⁻¹⁰ | <0,1 % |
| Myanmar (Burma): Arakan | 2,1 × 10⁻¹⁰ | <0,1 % |
| Fatales, Los Aguilas - Los Lobos , Los Tiguerones | 2,0 × 10⁻¹⁰ | <0,1 % |
| Israel - Syria | 1,8 × 10⁻¹⁰ | <0,1 % |
| FARC-EMC - ELN | 1,7 × 10⁻¹⁰ | <0,1 % |
| Los Chone Killers - Latin Kings | 1,7 × 10⁻¹⁰ | <0,1 % |
| Bonde dos 13, PCC - Comando Vermelho | 1,6 × 10⁻¹⁰ | <0,1 % |
| Bonde dos 40 - Comando Vermelho | 1,6 × 10⁻¹⁰ | <0,1 % |
| Government of Burundi - Civilians | 1,6 × 10⁻¹⁰ | <0,1 % |
| TTP - Civilians | 1,6 × 10⁻¹⁰ | <0,1 % |
| M18 - Civilians | 1,5 × 10⁻¹⁰ | <0,1 % |
| AAKG - CPC | 1,5 × 10⁻¹⁰ | <0,1 % |
| United Kingdom, United States of America - Yemen | 1,5 × 10⁻¹⁰ | <0,1 % |
| Cameroon: Government | 1,5 × 10⁻¹⁰ | <0,1 % |
| Hawazma - Nuba | 1,5 × 10⁻¹⁰ | <0,1 % |
| Russia (Soviet Union): Government | 1,5 × 10⁻¹⁰ | <0,1 % |
| Toposa - Turkana | 1,5 × 10⁻¹⁰ | <0,1 % |
| Dinka - Nuer | 1,5 × 10⁻¹⁰ | <0,1 % |
| Los Aguilas - Los Lobos | 1,5 × 10⁻¹⁰ | <0,1 % |
| Ambazonia insurgents - Civilians | 1,4 × 10⁻¹⁰ | <0,1 % |
| Hausa - Funj | 1,4 × 10⁻¹⁰ | <0,1 % |
| Dozos (Mali) - JNIM | 1,3 × 10⁻¹⁰ | <0,1 % |
| Los Choneros - Los Lagartos | 1,3 × 10⁻¹⁰ | <0,1 % |
| Los Lobos - Los Tiguerones | 1,3 × 10⁻¹⁰ | <0,1 % |
| Los Lagartos - Mafia 18 | 1,3 × 10⁻¹⁰ | <0,1 % |
| Myanmar (Burma): Kokang | 1,3 × 10⁻¹⁰ | <0,1 % |
| Guraghe - Mareqo | 1,3 × 10⁻¹⁰ | <0,1 % |
| Government of Pakistan - Civilians | 1,3 × 10⁻¹⁰ | <0,1 % |
| Chad: Government | 1,2 × 10⁻¹⁰ | <0,1 % |
| Government of Sudan - Civilians | 1,2 × 10⁻¹⁰ | <0,1 % |
| Government of Somalia - Civilians | 1,2 × 10⁻¹⁰ | <0,1 % |
| FARC - Segunda Marquetalia - Civilians | 1,2 × 10⁻¹⁰ | <0,1 % |
| ELN - Civilians | 1,2 × 10⁻¹⁰ | <0,1 % |
| Comando Vermelho - Holanda | 1,1 × 10⁻¹⁰ | <0,1 % |
| Hindus (India) - Muslims (India) | 1,1 × 10⁻¹⁰ | <0,1 % |
| Government of Yemen (North Yemen) - Civilians | 1,1 × 10⁻¹⁰ | <0,1 % |
| Los Aguilas - Los Lobos , Los Tiguerones | 9,9 × 10⁻¹¹ | <0,1 % |
| Government of India - Civilians | 9,9 × 10⁻¹¹ | <0,1 % |
| Syrian insurgents - Civilians | 9,6 × 10⁻¹¹ | <0,1 % |
| Los Rusos, UPOEG - Los Tlacos | 9,5 × 10⁻¹¹ | <0,1 % |
| Los Costenos - Los Pepes | 9,3 × 10⁻¹¹ | <0,1 % |
| Gran Grif - Civilians | 9,2 × 10⁻¹¹ | <0,1 % |
| 400 Mawozo - Civilians | 9,2 × 10⁻¹¹ | <0,1 % |
| IS - JAS | 9,2 × 10⁻¹¹ | <0,1 % |
| Farmers (Chad) - Herders (Chad) | 9,1 × 10⁻¹¹ | <0,1 % |
| EGC - ELN, FARC-EMC | 8,9 × 10⁻¹¹ | <0,1 % |
| Murle - Nuer | 8,6 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Massa | 8,6 × 10⁻¹¹ | <0,1 % |
| EGC - ELN | 8,6 × 10⁻¹¹ | <0,1 % |
| Jalisco Cartel New Generation - Civilians | 8,6 × 10⁻¹¹ | <0,1 % |
| ARSA - Civilians | 8,5 × 10⁻¹¹ | <0,1 % |
| Nova Okaida - PCC | 8,4 × 10⁻¹¹ | <0,1 % |
| Jalisco Cartel New Generation - Pájaros Sierra | 7,9 × 10⁻¹¹ | <0,1 % |
| Bonde do Maluco - Katiara | 7,9 × 10⁻¹¹ | <0,1 % |
| Bonde do Maluco - Civilians | 7,9 × 10⁻¹¹ | <0,1 % |
| Dozos (Mali) - Civilians | 7,5 × 10⁻¹¹ | <0,1 % |
| Benin: Government | 7,5 × 10⁻¹¹ | <0,1 % |
| SDF - Civilians | 7,4 × 10⁻¹¹ | <0,1 % |
| Cameroon: Islamic State | 7,1 × 10⁻¹¹ | <0,1 % |
| Government of Mexico - Civilians | 6,7 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - Civilians | 6,1 × 10⁻¹¹ | <0,1 % |
| Al-Shabaab - IS | 5,9 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Terceiro Comando Puro | 5,9 × 10⁻¹¹ | <0,1 % |
| Los Ardillos - Los Rojos | 5,7 × 10⁻¹¹ | <0,1 % |
| India: Western South East Asia | 5,6 × 10⁻¹¹ | <0,1 % |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 5,4 × 10⁻¹¹ | <0,1 % |
| Fulani - Mwaghavul | 5,3 × 10⁻¹¹ | <0,1 % |
| Fulani - Mwaghavul , Ron | 4,9 × 10⁻¹¹ | <0,1 % |
| Central African Republic: Logone | 4,7 × 10⁻¹¹ | <0,1 % |
| Fulani - Tiv | 4,7 × 10⁻¹¹ | <0,1 % |
| Dan na Ambassagou - Civilians | 4,6 × 10⁻¹¹ | <0,1 % |
| Government of Venezuela - Civilians | 4,4 × 10⁻¹¹ | <0,1 % |
| PCC - Civilians | 4,4 × 10⁻¹¹ | <0,1 % |
| CPC - Civilians | 4,3 × 10⁻¹¹ | <0,1 % |
| Tunisia: Government | 4,2 × 10⁻¹¹ | <0,1 % |
| Farmers (Nigeria) - Herders (Nigeria) | 4,0 × 10⁻¹¹ | <0,1 % |
| NUG - Civilians | 4,0 × 10⁻¹¹ | <0,1 % |
| Ajeita - Bonde do Maluco | 3,9 × 10⁻¹¹ | <0,1 % |
| Morocco: Sahrawi Arab Democratic Republic (Western Sahara) | 3,8 × 10⁻¹¹ | <0,1 % |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 3,8 × 10⁻¹¹ | <0,1 % |
| South Sudan: Government | 3,7 × 10⁻¹¹ | <0,1 % |
| GATIA - IS | 3,5 × 10⁻¹¹ | <0,1 % |
| Iran: Government | 3,5 × 10⁻¹¹ | <0,1 % |
| Government of Cameroon - Civilians | 3,3 × 10⁻¹¹ | <0,1 % |
| MS-13 - Civilians | 3,2 × 10⁻¹¹ | <0,1 % |
| Mauritania: Government | 3,1 × 10⁻¹¹ | <0,1 % |
| Government of Colombia - Civilians | 3,1 × 10⁻¹¹ | <0,1 % |
| Misseriya - Ngok Dinka | 3,0 × 10⁻¹¹ | <0,1 % |
| Government of Brazil - Civilians | 2,9 × 10⁻¹¹ | <0,1 % |
| Nigeria: Biafra | 2,9 × 10⁻¹¹ | <0,1 % |
| VHP - Civilians | 2,8 × 10⁻¹¹ | <0,1 % |
| Anti-Bala - Bala na Cara | 2,7 × 10⁻¹¹ | <0,1 % |
| Amhara - Gumuz | 2,6 × 10⁻¹¹ | <0,1 % |
| Thailand: Patani | 2,5 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - PCM | 2,5 × 10⁻¹¹ | <0,1 % |
| Iraq: Government | 2,4 × 10⁻¹¹ | <0,1 % |
| LeJ - Civilians | 2,2 × 10⁻¹¹ | <0,1 % |
| PKK - Civilians | 2,1 × 10⁻¹¹ | <0,1 % |
| Birom - Fulani | 2,1 × 10⁻¹¹ | <0,1 % |
| Comités locaux de vigilance - JAS | 2,0 × 10⁻¹¹ | <0,1 % |
| Gulf Cartel - Sinaloa Cartel | 1,9 × 10⁻¹¹ | <0,1 % |
| Gulf Cartel - Jalisco Cartel New Generation | 1,9 × 10⁻¹¹ | <0,1 % |
| Supporters of Awami League - Supporters of BNP | 1,8 × 10⁻¹¹ | <0,1 % |
| Atyap - Fulani | 1,8 × 10⁻¹¹ | <0,1 % |
| IS - MSA | 1,7 × 10⁻¹¹ | <0,1 % |
| Karimjo - Wurukum | 1,7 × 10⁻¹¹ | <0,1 % |
| Black Axe - Eyie | 1,6 × 10⁻¹¹ | <0,1 % |
| Mozambique: Islamic State | 1,4 × 10⁻¹¹ | <0,1 % |
| Forces of Terwase Akwanza - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| India - Pakistan | 1,4 × 10⁻¹¹ | <0,1 % |
| India: Nagaland | 1,4 × 10⁻¹¹ | <0,1 % |
| NSCN-IM - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| PLFI - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| Government of Egypt - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| Government of Central African Republic - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| Comandos de la Frontera - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| Fulani - Idoma | 1,3 × 10⁻¹¹ | <0,1 % |
| Fulani - Kuteb | 1,3 × 10⁻¹¹ | <0,1 % |
| Peru: Government | 1,2 × 10⁻¹¹ | <0,1 % |
| Los Lobos - R7 | 1,1 × 10⁻¹¹ | <0,1 % |
| Togo: Government | 1,1 × 10⁻¹¹ | <0,1 % |
| IS - HTS | 1,1 × 10⁻¹¹ | <0,1 % |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 1,0 × 10⁻¹¹ | <0,1 % |
| Kokorat sans ras - Civilians | 9,7 × 10⁻¹² | <0,1 % |
| Supporters of Awami League - Supporters of Jamaat-e-Islami | 9,1 × 10⁻¹² | <0,1 % |
| Government of Nigeria - Civilians | 8,9 × 10⁻¹² | <0,1 % |
| Indonesia: West Papua | 8,4 × 10⁻¹² | <0,1 % |
| URDPC - Civilians | 7,8 × 10⁻¹² | <0,1 % |
| Russia: Islamic State | 7,7 × 10⁻¹² | <0,1 % |
| Chain Guys - Full Force | 7,4 × 10⁻¹² | <0,1 % |
| Government of eSwatini (Swaziland) - Civilians | 7,1 × 10⁻¹² | <0,1 % |
| Los Costenos - Civilians | 6,9 × 10⁻¹² | <0,1 % |
| Philippines: Government | 6,0 × 10⁻¹² | <0,1 % |
| Myanmar (Burma): Shan | 5,3 × 10⁻¹² | <0,1 % |
| Lengola - Mbole | 5,1 × 10⁻¹² | <0,1 % |
| CATA - Codeta | 4,4 × 10⁻¹² | <0,1 % |
| Hausa - Fulani | 4,2 × 10⁻¹² | <0,1 % |
| RED-TABARA - Civilians | 4,1 × 10⁻¹² | <0,1 % |
| OPM - Civilians | 4,0 × 10⁻¹² | <0,1 % |
| Iran: Islamic State | 3,8 × 10⁻¹² | <0,1 % |
| Government of Rwanda - Civilians | 3,6 × 10⁻¹² | <0,1 % |
| DR Congo (Zaire): Government | 3,6 × 10⁻¹² | <0,1 % |
| DR Congo (Zaire): Islamic State | 3,6 × 10⁻¹² | <0,1 % |
| Guerreros Unidos - Los Tlacos | 3,2 × 10⁻¹² | <0,1 % |
| Russia (Soviet Union): Chechnya | 3,1 × 10⁻¹² | <0,1 % |
| Farmers (CAR) - Herders (CAR) | 3,1 × 10⁻¹² | <0,1 % |
| AAKG - Civilians | 3,1 × 10⁻¹² | <0,1 % |
| Fulani - Irigwe | 3,0 × 10⁻¹² | <0,1 % |
| Government of South Africa - Civilians | 2,9 × 10⁻¹² | <0,1 % |
| Philippines: Islamic State | 2,9 × 10⁻¹² | <0,1 % |
| Government of Iran - Civilians | 2,9 × 10⁻¹² | <0,1 % |
| Egypt: Islamic State | 2,8 × 10⁻¹² | <0,1 % |
| Fulani - Igala | 2,5 × 10⁻¹² | <0,1 % |
| Amigos dos Amigos - Comando Vermelho | 2,5 × 10⁻¹² | <0,1 % |
| FDN - PCC | 2,5 × 10⁻¹² | <0,1 % |
| IS - Naparama | 2,5 × 10⁻¹² | <0,1 % |
| Greenlanders - NDV | 2,2 × 10⁻¹² | <0,1 % |
| Black Axe - Maphite | 2,2 × 10⁻¹² | <0,1 % |
| M23 - VDP | 2,2 × 10⁻¹² | <0,1 % |
| Mobondo - Civilians | 2,1 × 10⁻¹² | <0,1 % |
| M23 - Civilians | 1,7 × 10⁻¹² | <0,1 % |
| Kusasi - Mamprusi | 1,6 × 10⁻¹² | <0,1 % |
| Rwanda: Government | 1,5 × 10⁻¹² | <0,1 % |
| Supporters of APC - Supporters of PDP | 1,5 × 10⁻¹² | <0,1 % |
| Algeria: Government | 1,4 × 10⁻¹² | <0,1 % |
| Government of DR Congo (Zaire) - Civilians | 1,4 × 10⁻¹² | <0,1 % |
| Choa Arab - Kotoko | 1,3 × 10⁻¹² | <0,1 % |
| Choa Arab - Musgum | 1,3 × 10⁻¹² | <0,1 % |
| Black Axe - SVC | 1,2 × 10⁻¹² | <0,1 % |
| IPOB - Civilians | 1,2 × 10⁻¹² | <0,1 % |
| Government of Mozambique - Civilians | 1,1 × 10⁻¹² | <0,1 % |
| Government of Indonesia - Civilians | 9,9 × 10⁻¹³ | <0,1 % |
| Agatu - Fulani | 9,8 × 10⁻¹³ | <0,1 % |
| IS - Yan Gora | 9,8 × 10⁻¹³ | <0,1 % |
| Deebam - NDV | 9,8 × 10⁻¹³ | <0,1 % |
| Patani insurgents - Civilians | 8,4 × 10⁻¹³ | <0,1 % |
| URDPC - Zaire self-defense group | 7,0 × 10⁻¹³ | <0,1 % |
| Zaire self-defense group - Civilians | 6,2 × 10⁻¹³ | <0,1 % |
| VDP - Civilians | 5,9 × 10⁻¹³ | <0,1 % |
| CPP - Civilians | 5,9 × 10⁻¹³ | <0,1 % |
| Jukun - Tiv | 4,9 × 10⁻¹³ | <0,1 % |
| FPIC Chambre noire sanduku - URDPC | 4,6 × 10⁻¹³ | <0,1 % |
| FPIC Chambre noire sanduku - Civilians | 4,5 × 10⁻¹³ | <0,1 % |
| Libya: Government | 4,4 × 10⁻¹³ | <0,1 % |
| AFC - Civilians | 3,3 × 10⁻¹³ | <0,1 % |
| AFP-Gutabara - CNPSC, FABB | 3,1 × 10⁻¹³ | <0,1 % |
| AFP-Gutabara - FABB | 1,1 × 10⁻¹³ | <0,1 % |
| FRPI - Civilians | 9,2 × 10⁻¹⁴ | <0,1 % |
| Philippines: Mindanao | 7,3 × 10⁻¹⁴ | <0,1 % |
| Government of Philippines - Civilians | 7,3 × 10⁻¹⁴ | <0,1 % |
| Basonge - Bena Nkoma (Bakwa Luntu, Luba) | 6,1 × 10⁻¹⁴ | <0,1 % |
| FDLR-FOCA - Civilians | 5,1 × 10⁻¹⁴ | <0,1 % |
| FPIC Chambre noire sanduku - FRPI | 5,1 × 10⁻¹⁴ | <0,1 % |
| Ambulin, Lungupin, Nenei, Sau, Sau Walep, Yandamau, Yopo - Kaekin, Lanzerakin, Lyona, Mupapalu, Murap, Palinau, Sakaikin, Sikin, Wapukin | 4,4 × 10⁻¹⁴ | <0,1 % |
| Mayi Mayi Chini ya Tuna - Civilians | 4,1 × 10⁻¹⁴ | <0,1 % |
| Luba - Batwa | 3,1 × 10⁻¹⁴ | <0,1 % |
| DR Congo (Zaire): Katanga | 1,0 × 10⁻¹⁴ | <0,1 % |
| Government of Uganda - Civilians | 1,0 × 10⁻¹⁴ | <0,1 % |
| Twiganeho - Civilians | 1,0 × 10⁻¹⁴ | <0,1 % |
| AFC - VDP | 1,0 × 10⁻¹⁴ | <0,1 % |
| Government of Papua New Guinea - Civilians | 6,7 × 10⁻¹⁶ | <0,1 % |
| Suma | 2,0 × 10⁻⁵ | = la cifra principal, 2,0 × 10⁻⁵ |
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 |
|---|---|---|
| Manufacture of food products; beverages and tobacco products | 3,4 × 10⁻⁵ | 37 % |
| Crop and animal production, hunting and related service activities | 2,4 × 10⁻⁵ | 26 % |
| Wholesale trade, except of motor vehicles and motorcycles | 5,5 × 10⁻⁶ | 5,9 % |
| Land transport and transport via pipelines | 3,5 × 10⁻⁶ | 3,8 % |
| Mining and quarrying | 3,1 × 10⁻⁶ | 3,4 % |
| Warehousing and support activities for transportation | 2,1 × 10⁻⁶ | 2,3 % |
| Retail trade, except of motor vehicles and motorcycles | 2,0 × 10⁻⁶ | 2,2 % |
| Security and investigation, service and landscape, office administrative and support activities | 1,9 × 10⁻⁶ | 2,0 % |
| Manufacture of chemicals and chemical products | 1,2 × 10⁻⁶ | 1,3 % |
| Construction | 1,1 × 10⁻⁶ | 1,2 % |
| Rental and leasing activities | 1,0 × 10⁻⁶ | 1,1 % |
| Employment activities | 1,0 × 10⁻⁶ | 1,1 % |
| Manufacture of rubber and plastic products | 8,2 × 10⁻⁷ | 0,90 % |
| Manufacture of paper and paper products | 7,0 × 10⁻⁷ | 0,76 % |
| Manufacture of coke and refined petroleum products | 6,5 × 10⁻⁷ | 0,71 % |
| Accommodation and food service activities | 6,3 × 10⁻⁷ | 0,68 % |
| Manufacture of fabricated metal products, except machinery and equipment | 5,8 × 10⁻⁷ | 0,64 % |
| Sewerage, waste management, remediation activities | 5,8 × 10⁻⁷ | 0,63 % |
| Manufacture of basic metals | 5,6 × 10⁻⁷ | 0,61 % |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 5,1 × 10⁻⁷ | 0,56 % |
| Water transport | 5,1 × 10⁻⁷ | 0,55 % |
| Legal and accounting activities; activities of head offices; management consultancy activities | 4,5 × 10⁻⁷ | 0,49 % |
| Fishing and aquaculture | 3,9 × 10⁻⁷ | 0,43 % |
| Forestry and logging | 3,8 × 10⁻⁷ | 0,42 % |
| Manufacture of machinery and equipment n.e.c. | 3,3 × 10⁻⁷ | 0,36 % |
| Postal and courier activities | 3,3 × 10⁻⁷ | 0,36 % |
| Manufacture of other non-metallic mineral products | 3,2 × 10⁻⁷ | 0,35 % |
| Manufacture of motor vehicles, trailers and semi-trailers | 2,8 × 10⁻⁷ | 0,30 % |
| Public administration and defence; compulsory social security | 2,7 × 10⁻⁷ | 0,30 % |
| Air transport | 2,5 × 10⁻⁷ | 0,27 % |
| Repair and installation of machinery and equipment | 2,3 × 10⁻⁷ | 0,25 % |
| Human health activities | 2,0 × 10⁻⁷ | 0,21 % |
| Manufacture of electrical equipment | 2,0 × 10⁻⁷ | 0,21 % |
| Electricity, gas, steam and air conditioning supply | 1,9 × 10⁻⁷ | 0,20 % |
| Manufacture of textiles, wearing apparel, leather and related products | 1,8 × 10⁻⁷ | 0,19 % |
| Water collection, treatment and supply | 1,7 × 10⁻⁷ | 0,19 % |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 1,7 × 10⁻⁷ | 0,18 % |
| Advertising and market research | 1,7 × 10⁻⁷ | 0,18 % |
| Travel agency, tour operator reservation service and related activities | 1,6 × 10⁻⁷ | 0,18 % |
| Architectural and engineering activities; technical testing and analysis | 1,4 × 10⁻⁷ | 0,16 % |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 1,4 × 10⁻⁷ | 0,15 % |
| Manufacture of computer, electronic and optical products | 1,2 × 10⁻⁷ | 0,13 % |
| Printing and reproduction of recorded media | 1,1 × 10⁻⁷ | 0,12 % |
| Computer programming, consultancy, and information service activities | 1,0 × 10⁻⁷ | 0,11 % |
| Financial service activities, except insurance and pension funding | 9,3 × 10⁻⁸ | 0,10 % |
| Other professional, scientific and technical activities; veterinary activities | 9,1 × 10⁻⁸ | <0,1 % |
| Real estate activities | 8,9 × 10⁻⁸ | <0,1 % |
| Activities of membership organisations | 8,1 × 10⁻⁸ | <0,1 % |
| Sports activities and amusement and recreation activities | 8,0 × 10⁻⁸ | <0,1 % |
| Manufacture of other transport equipment | 7,9 × 10⁻⁸ | <0,1 % |
| Repair of computers and personal and household goods | 7,0 × 10⁻⁸ | <0,1 % |
| Manufacture of furniture; other manufacturing | 6,9 × 10⁻⁸ | <0,1 % |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 5,5 × 10⁻⁸ | <0,1 % |
| Education | 5,4 × 10⁻⁸ | <0,1 % |
| Telecommunications | 4,9 × 10⁻⁸ | <0,1 % |
| Residential care activities and social work activities without accommodation | 4,1 × 10⁻⁸ | <0,1 % |
| Other personal service activities | 4,0 × 10⁻⁸ | <0,1 % |
| Insurance, reinsurance and pension funding, except compulsory social security | 2,9 × 10⁻⁸ | <0,1 % |
| Activities auxiliary to financial services and insurance activities | 2,6 × 10⁻⁸ | <0,1 % |
| Publishing activities | 2,2 × 10⁻⁸ | <0,1 % |
| Motion picture, video, television programme production; programming and broadcasting activities | 2,2 × 10⁻⁸ | <0,1 % |
| Scientific research and development | 1,2 × 10⁻⁸ | <0,1 % |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 1,8 × 10⁻⁹ | <0,1 % |
| Suma | 9,2 × 10⁻⁵ | = la cifra principal, 9,2 × 10⁻⁵ |
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 | 1,8 × 10⁻⁵ | 20 % |
| Alemania | 1,1 × 10⁻⁵ | 11 % |
| Turquía | 1,0 × 10⁻⁵ | 11 % |
| España | 9,7 × 10⁻⁶ | 11 % |
| Argentina | 7,7 × 10⁻⁶ | 8,4 % |
| Estados Unidos | 7,4 × 10⁻⁶ | 8,1 % |
| Francia | 6,9 × 10⁻⁶ | 7,6 % |
| Italia | 4,4 × 10⁻⁶ | 4,8 % |
| Canadá | 2,8 × 10⁻⁶ | 3,0 % |
| Portugal | 1,9 × 10⁻⁶ | 2,0 % |
| Japón | 1,3 × 10⁻⁶ | 1,5 % |
| Australia | 1,3 × 10⁻⁶ | 1,4 % |
| Polonia | 1,3 × 10⁻⁶ | 1,4 % |
| México | 1,2 × 10⁻⁶ | 1,3 % |
| Países Bajos | 1,1 × 10⁻⁶ | 1,2 % |
| Suiza | 1,0 × 10⁻⁶ | 1,1 % |
| Austria | 7,0 × 10⁻⁷ | 0,77 % |
| Bélgica | 7,0 × 10⁻⁷ | 0,76 % |
| Chequia | 5,4 × 10⁻⁷ | 0,59 % |
| Dinamarca | 5,1 × 10⁻⁷ | 0,56 % |
| Brasil | 4,4 × 10⁻⁷ | 0,48 % |
| Hungría | 3,8 × 10⁻⁷ | 0,41 % |
| Finlandia | 3,5 × 10⁻⁷ | 0,38 % |
| Suecia | 2,7 × 10⁻⁷ | 0,30 % |
| Irlanda | 2,3 × 10⁻⁷ | 0,25 % |
| Noruega | 1,8 × 10⁻⁷ | 0,20 % |
| Eslovenia | 1,4 × 10⁻⁷ | 0,15 % |
| Luxemburgo | 1,4 × 10⁻⁷ | 0,15 % |
| Croacia | 1,3 × 10⁻⁷ | 0,14 % |
| Lituania | 9,2 × 10⁻⁸ | <0,1 % |
| Eslovaquia | 8,2 × 10⁻⁸ | <0,1 % |
| Estonia | 7,9 × 10⁻⁸ | <0,1 % |
| Grecia | 7,6 × 10⁻⁸ | <0,1 % |
| Rumanía | 7,1 × 10⁻⁸ | <0,1 % |
| Letonia | 4,0 × 10⁻⁸ | <0,1 % |
| Bulgaria | 3,6 × 10⁻⁸ | <0,1 % |
| India | 3,6 × 10⁻⁸ | <0,1 % |
| Rusia | 2,4 × 10⁻⁸ | <0,1 % |
| Chipre | 1,9 × 10⁻⁸ | <0,1 % |
| Malta | 1,0 × 10⁻⁸ | <0,1 % |
| Indonesia | 7,3 × 10⁻⁹ | <0,1 % |
| Sudáfrica | 3,5 × 10⁻¹⁰ | <0,1 % |
| Arabia Saudí | 2,1 × 10⁻¹⁰ | <0,1 % |
| Reino Unido | 1,4 × 10⁻¹⁰ | <0,1 % |
| China | 1,1 × 10⁻¹⁰ | <0,1 % |
| Corea del Sur | 2,5 × 10⁻¹¹ | <0,1 % |
| Serbia | 7,5 × 10⁻¹⁴ | <0,1 % |
| Suma | 9,2 × 10⁻⁵ | = la cifra principal, 9,2 × 10⁻⁵ |
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
- CEPII, BACI — Gaulier, G. and Zignago, S. (2010), BACI: International Trade Database at the Product-Level, CEPII Working Paper 2010-23. CEPII did not endorse these derived figures — HS92_V202601-20260130, retrieved 2026-09-29 from https://www.cepii.fr/DATA_DOWNLOAD/baci/data/BACI_HS92_V202601.zip. Licensed under Open Licence 2.0 (Licence Ouverte, Etalab) (https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf).
- Eurostat, Euro/ECU exchange rates - annual data (ert_bil_eur_a) — ert_bil_eur_a-USD-20261006, retrieved 2026-10-06 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/ert_bil_eur_a/A.AVG.NAC.USD?format=SDMX-CSV&startPeriod=1995. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- Eurostat, European Commission — esaw-fatal-20260910, retrieved 2026-09-10 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/hsw_n2_02?format=SDMX-CSV. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- Eurostat, European Commission — esaw-fatal-20261006, retrieved 2026-10-06 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/hsw_n2_02?format=SDMX-CSV. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- Eurostat, European Commission — esaw-non_fatal-20260910, retrieved 2026-09-10 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/hsw_n2_01?format=SDMX-CSV. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- Eurostat, European Commission — esaw-non_fatal-20261006, retrieved 2026-10-06 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/hsw_n2_01?format=SDMX-CSV. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- Eurostat, FIGARO inter-country input-output tables — ii1-20260718, retrieved 2026-09-29 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_ii1?format=SDMX-CSV&compressed=true. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- Eurostat, FIGARO inter-country input-output tables — ii2-20260718, retrieved 2026-09-29 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_ii2?format=SDMX-CSV&compressed=true. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- Eurostat, FIGARO inter-country input-output tables — ii3-20260718, retrieved 2026-09-29 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_ii3?format=SDMX-CSV&compressed=true. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- Eurostat, FIGARO inter-country input-output tables — ii4-20260720, retrieved 2026-09-29 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_ii4?format=SDMX-CSV&compressed=true. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- FAO. AQUASTAT, FAO's Global Information System on Water and Agriculture: municipal water withdrawal. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — ds-20260713, retrieved 2026-10-06 from https://api.data.apps.fao.org/api/v2/bigquery. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — fo-20260109, retrieved 2026-09-29 from https://bulks-faostat.fao.org/production/Forestry_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — qcl-20251231, retrieved 2026-09-29 from https://bulks-faostat.fao.org/production/Production_Crops_Livestock_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — rfb-20260730, retrieved 2026-09-29 from https://bulks-faostat.fao.org/production/Inputs_FertilizersProduct_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — rl-20261002, retrieved 2026-10-06 from https://bulks-faostat.fao.org/production/Inputs_LandUse_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- Information from the Stockholm International Peace Research Institute (SIPRI) — arms-register-1950-2025, retrieved 2026-09-29 from https://atbackend.sipri.org/api/p/trades/trade-register-csv/. Used under SIPRI terms and conditions — fair-use policy; see https://www.sipri.org/about/terms-and-conditions.
- Information from the Stockholm International Peace Research Institute (SIPRI) — milex-1949-2025-v1.2, retrieved 2026-09-29 from https://www.sipri.org/sites/default/files/SIPRI-Milex-data-1949-2025_v1.2.xlsx. Used under SIPRI terms and conditions — fair-use policy; see https://www.sipri.org/about/terms-and-conditions.
- International Labour Organization, ILOSTAT. The ILO did not prepare, review or endorse these derived figures; responsibility for them rests solely with Quiescence — emp-20261006, retrieved 2026-10-06 from https://sdmx.ilo.org/rest/data/ILO,DF_EMP_TEMP_SEX_ECO_NB,1.0/.A..SEX_T.. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- International Labour Organization, ILOSTAT. The ILO did not prepare, review or endorse these derived figures; responsibility for them rests solely with Quiescence — emp-20261007, retrieved 2026-10-06 from https://sdmx.ilo.org/rest/data/ILO,DF_EMP_TEMP_SEX_ECO_NB,1.0/.A..SEX_T.. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- International Labour Organization, ILOSTAT. The ILO did not prepare, review or endorse these derived figures; responsibility for them rests solely with Quiescence — fatal-20261006, retrieved 2026-10-06 from https://sdmx.ilo.org/rest/data/ILO,DF_INJ_FATL_ECO_NB,1.0/all. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- International Labour Organization, ILOSTAT. The ILO did not prepare, review or endorse these derived figures; responsibility for them rests solely with Quiescence — non_fatal-20261006, retrieved 2026-10-06 from https://sdmx.ilo.org/rest/data/ILO,DF_INJ_NFTL_ECO_NB,1.0/all. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 1995-2000_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/1995-2000_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
- OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 2001-2005_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/2001-2005_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
- OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 2006-2010_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/2006-2010_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
- OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 2011-2015_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/2011-2015_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
- OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 2016-2022_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/2016-2022_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
- Source: U.S. Energy Information Administration, International Energy Statistics — intl-20261003, retrieved 2026-10-06 from https://www.eia.gov/opendata/bulk/INTL.zip. Used under U.S. Government work — public domain (EIA Copyrights and Reuse); see https://www.eia.gov/about/copyrights_reuse.php.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2012-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2012.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2013-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2013.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2014-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2014.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2015-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2015.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2016-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2016.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2017-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2017.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2018-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2018.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2019-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/atoms/files/mcs2019_all.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2020-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2020/mcs2020.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2021-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2021/mcs2021.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2022-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2022/mcs2022.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2023-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2023/mcs2023.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2024-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2024/mcs2024.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2025-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2025/mcs2025.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
- U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2026-20260206, retrieved 2026-09-29 from https://www.sciencebase.gov/catalog/file/get/69837e43b66b01367d7ec7c7?f=__disk__d3%2Fac%2F84%2Fd3ac8466552946c5e8caa2c2c6338d9e1aff655d. Licensed under Creative Commons Zero v1.0 Universal (public domain dedication) (https://creativecommons.org/publicdomain/zero/1.0/).
- Uppsala Conflict Data Program (UCDP), Uppsala University — Davies, Pettersson and Oberg, "Organized violence 1989-2025, and violent political protests", Journal of Peace Research (2026), doi:10.1093/jopres/xjag046 — ged-v26.1, retrieved 2026-09-10 from https://ucdp.uu.se/downloads/ged/ged261-csv.zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
- World Health Organization, Global Health Estimates. WHO did not prepare, review or endorse these derived figures — wsh_10-20261006, retrieved 2026-10-06 from https://ghoapi.azureedge.net/api/WSH_10. Licensed under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (https://creativecommons.org/licenses/by-nc-sa/3.0/igo/). Data modified by HumanToll.
HumanToll 2026, ejecución 2259, metodología v1.0. https://quiescence.eu/humantoll/explain/butter/