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Cómo se construye la cifra de Saco de carbón vegetal
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 3 kg bag of lump wood charcoal, without the bag. 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 — 1,5 × 10⁻⁷ por unidad(0,61–3,5 × 10⁻⁷)BAJAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Vía monetaria — 1,3 × 10⁻⁵ por cada 1.000 € gastados en su industria(0,83–1,9 × 10⁻⁵)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 |
|---|---|---|---|---|
| Carbón vegetal | 0,0030 t | 5,1 × 10⁻⁸ | 1,5 × 10⁻⁷ | 100 % |
| Suma | 1,5 × 10⁻⁷ | = la cifra principal, 1,5 × 10⁻⁷ | ||
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 |
|---|---|---|
| Somalia | 7,1 × 10⁻⁸ | 46 % |
| Etiopía | 2,1 × 10⁻⁸ | 14 % |
| Burkina Faso | 1,2 × 10⁻⁸ | 7,7 % |
| República Democrática del Congo | 1,1 × 10⁻⁸ | 7,3 % |
| Sudán | 9,6 × 10⁻⁹ | 6,3 % |
| Nigeria | 7,1 × 10⁻⁹ | 4,7 % |
| Níger | 4,0 × 10⁻⁹ | 2,6 % |
| Ucrania | 3,3 × 10⁻⁹ | 2,2 % |
| Myanmar (Birmania) | 1,6 × 10⁻⁹ | 1,1 % |
| Burundi | 1,6 × 10⁻⁹ | 1,0 % |
| República Centroafricana | 1,5 × 10⁻⁹ | 0,96 % |
| Camerún | 1,3 × 10⁻⁹ | 0,84 % |
| Mali | 1,2 × 10⁻⁹ | 0,80 % |
| Brasil | 1,1 × 10⁻⁹ | 0,70 % |
| Kenia | 1,0 × 10⁻⁹ | 0,67 % |
| Haití | 7,0 × 10⁻¹⁰ | 0,46 % |
| Mozambique | 5,8 × 10⁻¹⁰ | 0,38 % |
| Togo | 5,3 × 10⁻¹⁰ | 0,34 % |
| Tailandia | 5,0 × 10⁻¹⁰ | 0,32 % |
| Afganistán | 3,6 × 10⁻¹⁰ | 0,24 % |
| Uganda | 2,9 × 10⁻¹⁰ | 0,19 % |
| Sudán del Sur | 2,7 × 10⁻¹⁰ | 0,17 % |
| Chad | 2,2 × 10⁻¹⁰ | 0,14 % |
| México | 1,8 × 10⁻¹⁰ | 0,12 % |
| Yemen | 1,3 × 10⁻¹⁰ | <0,1 % |
| Estados Unidos | 9,4 × 10⁻¹¹ | <0,1 % |
| Ghana | 5,7 × 10⁻¹¹ | <0,1 % |
| India | 5,4 × 10⁻¹¹ | <0,1 % |
| Colombia | 5,0 × 10⁻¹¹ | <0,1 % |
| Ecuador | 3,5 × 10⁻¹¹ | <0,1 % |
| Pakistán | 3,1 × 10⁻¹¹ | <0,1 % |
| Filipinas | 2,8 × 10⁻¹¹ | <0,1 % |
| Benín | 2,7 × 10⁻¹¹ | <0,1 % |
| Argentina | 2,6 × 10⁻¹¹ | <0,1 % |
| España | 2,5 × 10⁻¹¹ | <0,1 % |
| Francia | 2,2 × 10⁻¹¹ | <0,1 % |
| Singapur | 1,9 × 10⁻¹¹ | <0,1 % |
| Siria | 1,9 × 10⁻¹¹ | <0,1 % |
| Honduras | 1,8 × 10⁻¹¹ | <0,1 % |
| Mauritania | 1,7 × 10⁻¹¹ | <0,1 % |
| Líbano | 1,1 × 10⁻¹¹ | <0,1 % |
| Esuatini | 7,9 × 10⁻¹² | <0,1 % |
| Polonia | 6,6 × 10⁻¹² | <0,1 % |
| Portugal | 6,3 × 10⁻¹² | <0,1 % |
| Japón | 5,2 × 10⁻¹² | <0,1 % |
| Indonesia | 5,1 × 10⁻¹² | <0,1 % |
| Túnez | 5,0 × 10⁻¹² | <0,1 % |
| Corea del Sur | 5,0 × 10⁻¹² | <0,1 % |
| Alemania | 4,5 × 10⁻¹² | <0,1 % |
| Italia | 4,2 × 10⁻¹² | <0,1 % |
| Croacia | 4,0 × 10⁻¹² | <0,1 % |
| Egipto | 3,5 × 10⁻¹² | <0,1 % |
| Rusia | 3,4 × 10⁻¹² | <0,1 % |
| Irak | 2,3 × 10⁻¹² | <0,1 % |
| Mongolia | 2,2 × 10⁻¹² | <0,1 % |
| Bangladés | 2,1 × 10⁻¹² | <0,1 % |
| Azerbaiyán | 2,1 × 10⁻¹² | <0,1 % |
| Panamá | 1,7 × 10⁻¹² | <0,1 % |
| Marruecos | 1,7 × 10⁻¹² | <0,1 % |
| Letonia | 1,6 × 10⁻¹² | <0,1 % |
| Costa Rica | 1,6 × 10⁻¹² | <0,1 % |
| Papúa Nueva Guinea | 1,3 × 10⁻¹² | <0,1 % |
| Guatemala | 1,3 × 10⁻¹² | <0,1 % |
| Bielorrusia | 1,1 × 10⁻¹² | <0,1 % |
| Eslovaquia | 9,8 × 10⁻¹³ | <0,1 % |
| Australia | 9,1 × 10⁻¹³ | <0,1 % |
| Sri Lanka | 8,0 × 10⁻¹³ | <0,1 % |
| Chequia | 7,1 × 10⁻¹³ | <0,1 % |
| Chipre | 6,9 × 10⁻¹³ | <0,1 % |
| Turquía | 6,6 × 10⁻¹³ | <0,1 % |
| Venezuela | 4,1 × 10⁻¹³ | <0,1 % |
| Bulgaria | 3,9 × 10⁻¹³ | <0,1 % |
| Austria | 3,3 × 10⁻¹³ | <0,1 % |
| Perú | 3,0 × 10⁻¹³ | <0,1 % |
| Moldavia | 2,7 × 10⁻¹³ | <0,1 % |
| Argelia | 2,7 × 10⁻¹³ | <0,1 % |
| Eslovenia | 2,4 × 10⁻¹³ | <0,1 % |
| Rumanía | 2,2 × 10⁻¹³ | <0,1 % |
| Libia | 1,8 × 10⁻¹³ | <0,1 % |
| Suecia | 1,8 × 10⁻¹³ | <0,1 % |
| Sudáfrica | 1,2 × 10⁻¹³ | <0,1 % |
| Uzbekistán | 1,2 × 10⁻¹³ | <0,1 % |
| Bolivia | 8,5 × 10⁻¹⁴ | <0,1 % |
| Arabia Saudí | 4,3 × 10⁻¹⁴ | <0,1 % |
| China | 2,1 × 10⁻¹⁴ | <0,1 % |
| Suiza | 2,0 × 10⁻¹⁴ | <0,1 % |
| Mauricio | 2,3 × 10⁻¹⁵ | <0,1 % |
| Irán | 2,2 × 10⁻¹⁵ | <0,1 % |
| Suma | 1,5 × 10⁻⁷ | = la cifra principal, 1,5 × 10⁻⁷ |
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 | 1,5 × 10⁻⁷ | 100 % |
| Trabajo | 7,4 × 10⁻¹⁰ | 0,48 % |
| Suma | 1,5 × 10⁻⁷ | = la cifra principal, 1,5 × 10⁻⁷ |
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 |
|---|---|---|
| Somalia: Government | 6,5 × 10⁻⁸ | 42 % |
| Ethiopia: Government/Amhara | 1,1 × 10⁻⁸ | 7,4 % |
| Burkina Faso: Government | 5,7 × 10⁻⁹ | 3,7 % |
| IS - Civilians | 5,7 × 10⁻⁹ | 3,7 % |
| Sudan: Government | 5,0 × 10⁻⁹ | 3,2 % |
| SSC-Khatumo Administration - Republic of Somaliland | 4,9 × 10⁻⁹ | 3,2 % |
| Ethiopia: Oromiya | 4,2 × 10⁻⁹ | 2,7 % |
| RSF - Civilians | 3,5 × 10⁻⁹ | 2,3 % |
| Russia - Ukraine | 3,3 × 10⁻⁹ | 2,2 % |
| JNIM - Civilians | 3,2 × 10⁻⁹ | 2,1 % |
| Nigeria: Islamic State | 2,8 × 10⁻⁹ | 1,8 % |
| URDPC - Civilians | 1,9 × 10⁻⁹ | 1,2 % |
| Niger: Islamic State | 1,8 × 10⁻⁹ | 1,2 % |
| Government of Ethiopia - Civilians | 1,7 × 10⁻⁹ | 1,1 % |
| OLA - Civilians | 1,3 × 10⁻⁹ | 0,87 % |
| Lengola - Mbole | 1,2 × 10⁻⁹ | 0,81 % |
| Government of Burkina Faso - Civilians | 1,2 × 10⁻⁹ | 0,79 % |
| Fano - Civilians | 1,2 × 10⁻⁹ | 0,77 % |
| Burkina Faso: Islamic State | 1,2 × 10⁻⁹ | 0,77 % |
| Anuak - Nuer | 1,1 × 10⁻⁹ | 0,75 % |
| Burundi: Government | 1,1 × 10⁻⁹ | 0,72 % |
| DR Congo (Zaire): Government | 9,4 × 10⁻¹⁰ | 0,61 % |
| Kenya: Northeastern Province and Coast | 9,0 × 10⁻¹⁰ | 0,59 % |
| Myanmar (Burma): Government | 8,9 × 10⁻¹⁰ | 0,58 % |
| Central African Republic: Government | 8,8 × 10⁻¹⁰ | 0,57 % |
| DR Congo (Zaire): Islamic State | 8,7 × 10⁻¹⁰ | 0,57 % |
| IS - JNIM | 7,7 × 10⁻¹⁰ | 0,50 % |
| Al-Shabaab - Civilians | 7,4 × 10⁻¹⁰ | 0,48 % |
| Sin ubicar | 7,4 × 10⁻¹⁰ | 0,48 % |
| IS - JAS | 6,8 × 10⁻¹⁰ | 0,44 % |
| M23 - VDP | 5,4 × 10⁻¹⁰ | 0,35 % |
| Nigeria: Government | 5,3 × 10⁻¹⁰ | 0,34 % |
| Mobondo - Civilians | 5,2 × 10⁻¹⁰ | 0,34 % |
| Government of Burundi - Civilians | 4,8 × 10⁻¹⁰ | 0,32 % |
| JAS - Civilians | 4,2 × 10⁻¹⁰ | 0,27 % |
| M23 - Civilians | 4,1 × 10⁻¹⁰ | 0,27 % |
| Fulani - Mwaghavul | 3,9 × 10⁻¹⁰ | 0,26 % |
| Cameroon: Ambazonia | 3,9 × 10⁻¹⁰ | 0,26 % |
| Beni Halba Baggara - Salamat Baggara | 3,9 × 10⁻¹⁰ | 0,25 % |
| Mozambique: Islamic State | 3,8 × 10⁻¹⁰ | 0,25 % |
| Rwanda: Government | 3,7 × 10⁻¹⁰ | 0,24 % |
| Fulani - Mwaghavul , Ron | 3,6 × 10⁻¹⁰ | 0,24 % |
| Niger: Government | 3,5 × 10⁻¹⁰ | 0,23 % |
| AAKG - CPC | 3,5 × 10⁻¹⁰ | 0,23 % |
| Fulani - Tiv | 3,5 × 10⁻¹⁰ | 0,23 % |
| Government of DR Congo (Zaire) - Civilians | 3,4 × 10⁻¹⁰ | 0,22 % |
| Sa'ad subclan of Habar Gidir clan (Hawiye) - Leelkase subclan (Darod) | 3,4 × 10⁻¹⁰ | 0,22 % |
| Mali: Government | 3,2 × 10⁻¹⁰ | 0,21 % |
| Government of Myanmar (Burma) - Civilians | 3,1 × 10⁻¹⁰ | 0,20 % |
| Comando Vermelho - PCC | 3,1 × 10⁻¹⁰ | 0,20 % |
| Amhara - Oromo | 3,1 × 10⁻¹⁰ | 0,20 % |
| Farmers (Nigeria) - Herders (Nigeria) | 3,0 × 10⁻¹⁰ | 0,19 % |
| Habaniya - Salamat Baggara | 2,7 × 10⁻¹⁰ | 0,17 % |
| Somalia: Islamic State | 2,5 × 10⁻¹⁰ | 0,16 % |
| Cameroon: Government | 2,3 × 10⁻¹⁰ | 0,15 % |
| Ambazonia insurgents - Civilians | 2,1 × 10⁻¹⁰ | 0,14 % |
| Nigeria: Biafra | 2,1 × 10⁻¹⁰ | 0,14 % |
| Togo: Government | 2,0 × 10⁻¹⁰ | 0,13 % |
| Djerma (Zherma) - Fulani | 2,0 × 10⁻¹⁰ | 0,13 % |
| Arab - Gimir | 1,9 × 10⁻¹⁰ | 0,13 % |
| Luac Jang Dinka - Pakam Dinka | 1,8 × 10⁻¹⁰ | 0,12 % |
| URDPC - Zaire self-defense group | 1,7 × 10⁻¹⁰ | 0,11 % |
| Afghanistan: Islamic State | 1,6 × 10⁻¹⁰ | 0,11 % |
| Government of Mali - Civilians | 1,6 × 10⁻¹⁰ | 0,11 % |
| Birom - Fulani | 1,6 × 10⁻¹⁰ | 0,10 % |
| Myanmar (Burma): Kachin | 1,5 × 10⁻¹⁰ | 0,10 % |
| Zaire self-defense group - Civilians | 1,5 × 10⁻¹⁰ | <0,1 % |
| VDP - Civilians | 1,4 × 10⁻¹⁰ | <0,1 % |
| Mali: Government/Azawad | 1,4 × 10⁻¹⁰ | <0,1 % |
| Guraghe - Mareqo | 1,4 × 10⁻¹⁰ | <0,1 % |
| Atyap - Fulani | 1,3 × 10⁻¹⁰ | <0,1 % |
| Government of Rwanda - Civilians | 1,3 × 10⁻¹⁰ | <0,1 % |
| Government of Haiti - Civilians | 1,3 × 10⁻¹⁰ | <0,1 % |
| Karimjo - Wurukum | 1,3 × 10⁻¹⁰ | <0,1 % |
| Black Axe - Eyie | 1,2 × 10⁻¹⁰ | <0,1 % |
| G9 - G-Pep | 1,2 × 10⁻¹⁰ | <0,1 % |
| Chad: Government | 1,1 × 10⁻¹⁰ | <0,1 % |
| FPIC Chambre noire sanduku - URDPC | 1,1 × 10⁻¹⁰ | <0,1 % |
| Yemen (North Yemen): Government | 1,1 × 10⁻¹⁰ | <0,1 % |
| Bonde do Maluco - Comando Vermelho | 1,1 × 10⁻¹⁰ | <0,1 % |
| Terre Noire - Civilians | 1,1 × 10⁻¹⁰ | <0,1 % |
| FPIC Chambre noire sanduku - Civilians | 1,1 × 10⁻¹⁰ | <0,1 % |
| 5 Segond, Taliban - Civilians | 1,1 × 10⁻¹⁰ | <0,1 % |
| Central African Republic: Logone | 1,1 × 10⁻¹⁰ | <0,1 % |
| Cameroon: Islamic State | 1,1 × 10⁻¹⁰ | <0,1 % |
| Forces of Terwase Akwanza - Civilians | 1,1 × 10⁻¹⁰ | <0,1 % |
| Twic Dinka - Ngok Dinka | 1,0 × 10⁻¹⁰ | <0,1 % |
| Cartel do Norte - Comando Vermelho | 1,0 × 10⁻¹⁰ | <0,1 % |
| Myanmar (Burma): Karen | 1,0 × 10⁻¹⁰ | <0,1 % |
| Grand Ravine - Civilians | 1,0 × 10⁻¹⁰ | <0,1 % |
| Fulani - Idoma | 9,8 × 10⁻¹¹ | <0,1 % |
| CPC - Civilians | 9,7 × 10⁻¹¹ | <0,1 % |
| Fulani - Kuteb | 9,3 × 10⁻¹¹ | <0,1 % |
| Murle - Nuer | 9,0 × 10⁻¹¹ | <0,1 % |
| Farmers (Chad) - Herders (Chad) | 8,4 × 10⁻¹¹ | <0,1 % |
| Uganda: Islamic State | 8,2 × 10⁻¹¹ | <0,1 % |
| AFC - Civilians | 8,0 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Karenni | 7,9 × 10⁻¹¹ | <0,1 % |
| G-Pep - Civilians | 7,6 × 10⁻¹¹ | <0,1 % |
| AFP-Gutabara - CNPSC, FABB | 7,5 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - PCC | 7,2 × 10⁻¹¹ | <0,1 % |
| Dan na Ambassagou - JNIM | 6,8 × 10⁻¹¹ | <0,1 % |
| Government of Somalia - Civilians | 6,7 × 10⁻¹¹ | <0,1 % |
| Mali: Islamic State | 6,6 × 10⁻¹¹ | <0,1 % |
| Government of Nigeria - Civilians | 6,6 × 10⁻¹¹ | <0,1 % |
| IS - Naparama | 6,4 × 10⁻¹¹ | <0,1 % |
| Arab - Masalit | 6,0 × 10⁻¹¹ | <0,1 % |
| Afghanistan: Government | 5,8 × 10⁻¹¹ | <0,1 % |
| Kusasi - Mamprusi | 5,7 × 10⁻¹¹ | <0,1 % |
| Chain Guys - Full Force | 5,5 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - GDE | 5,5 × 10⁻¹¹ | <0,1 % |
| Nova Okaida - Estados Unidos | 5,4 × 10⁻¹¹ | <0,1 % |
| GDE, PCC - Sindicato do Crime | 5,3 × 10⁻¹¹ | <0,1 % |
| Government of Cameroon - Civilians | 5,1 × 10⁻¹¹ | <0,1 % |
| PCC - Sindicato do Crime | 4,7 × 10⁻¹¹ | <0,1 % |
| Amigos Para Sempre - Família Terror Amapá | 4,7 × 10⁻¹¹ | <0,1 % |
| Jalisco Cartel New Generation - Sinaloa Cartel | 4,6 × 10⁻¹¹ | <0,1 % |
| Government of South Sudan - Civilians | 4,5 × 10⁻¹¹ | <0,1 % |
| Government of Afghanistan - Civilians | 4,3 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Arakan | 4,2 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Civilians | 3,9 × 10⁻¹¹ | <0,1 % |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 3,9 × 10⁻¹¹ | <0,1 % |
| Hausa - Nuba | 3,8 × 10⁻¹¹ | <0,1 % |
| Pakistan: Government | 3,6 × 10⁻¹¹ | <0,1 % |
| Juarez Cartel - Sinaloa Cartel | 3,5 × 10⁻¹¹ | <0,1 % |
| Al-Shabaab - IS | 3,4 × 10⁻¹¹ | <0,1 % |
| Government of Central African Republic - Civilians | 3,1 × 10⁻¹¹ | <0,1 % |
| Hausa - Fulani | 3,1 × 10⁻¹¹ | <0,1 % |
| Comités locaux de vigilance - JAS | 3,0 × 10⁻¹¹ | <0,1 % |
| Gran Grif - Civilians | 2,9 × 10⁻¹¹ | <0,1 % |
| 400 Mawozo - Civilians | 2,9 × 10⁻¹¹ | <0,1 % |
| Government of Russia (Soviet Union) - Civilians | 2,8 × 10⁻¹¹ | <0,1 % |
| Bonde dos 13, PCC - Comando Vermelho | 2,8 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - Comando Vermelho | 2,8 × 10⁻¹¹ | <0,1 % |
| Government of Mozambique - Civilians | 2,8 × 10⁻¹¹ | <0,1 % |
| AFP-Gutabara - FABB | 2,7 × 10⁻¹¹ | <0,1 % |
| Amhara - Gumuz | 2,7 × 10⁻¹¹ | <0,1 % |
| Carteles Unidos - Jalisco Cartel New Generation | 2,6 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Kokang | 2,6 × 10⁻¹¹ | <0,1 % |
| Thailand: Patani | 2,3 × 10⁻¹¹ | <0,1 % |
| FRPI - Civilians | 2,2 × 10⁻¹¹ | <0,1 % |
| Fulani - Irigwe | 2,2 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Holanda | 2,0 × 10⁻¹¹ | <0,1 % |
| Dozos (Mali) - JNIM | 1,8 × 10⁻¹¹ | <0,1 % |
| Fulani - Igala | 1,8 × 10⁻¹¹ | <0,1 % |
| Philippines: Government | 1,7 × 10⁻¹¹ | <0,1 % |
| Mauritania: Government | 1,7 × 10⁻¹¹ | <0,1 % |
| Benin: Government | 1,6 × 10⁻¹¹ | <0,1 % |
| Greenlanders - NDV | 1,6 × 10⁻¹¹ | <0,1 % |
| Black Axe - Maphite | 1,6 × 10⁻¹¹ | <0,1 % |
| India: Kashmir | 1,6 × 10⁻¹¹ | <0,1 % |
| Hawazma - Nuba | 1,5 × 10⁻¹¹ | <0,1 % |
| M18 - MS-13 | 1,5 × 10⁻¹¹ | <0,1 % |
| Afghanistan - Pakistan | 1,5 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Massa | 1,5 × 10⁻¹¹ | <0,1 % |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 1,5 × 10⁻¹¹ | <0,1 % |
| AQAP - Forces of the Presidential Leadership Council | 1,5 × 10⁻¹¹ | <0,1 % |
| Basonge - Bena Nkoma (Bakwa Luntu, Luba) | 1,5 × 10⁻¹¹ | <0,1 % |
| Nova Okaida - PCC | 1,5 × 10⁻¹¹ | <0,1 % |
| Bonde do Maluco - Katiara | 1,4 × 10⁻¹¹ | <0,1 % |
| Bonde do Maluco - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| Hausa - Funj | 1,4 × 10⁻¹¹ | <0,1 % |
| Kuki - Meitei | 1,4 × 10⁻¹¹ | <0,1 % |
| India: Government | 1,3 × 10⁻¹¹ | <0,1 % |
| RED-TABARA - Civilians | 1,3 × 10⁻¹¹ | <0,1 % |
| FDLR-FOCA - Civilians | 1,2 × 10⁻¹¹ | <0,1 % |
| FPIC Chambre noire sanduku - FRPI | 1,2 × 10⁻¹¹ | <0,1 % |
| Government of Sudan - Civilians | 1,2 × 10⁻¹¹ | <0,1 % |
| Los Choneros - Los Lobos | 1,1 × 10⁻¹¹ | <0,1 % |
| Supporters of APC - Supporters of PDP | 1,1 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - Civilians | 1,1 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Terceiro Comando Puro | 1,0 × 10⁻¹¹ | <0,1 % |
| Dozos (Mali) - Civilians | 1,0 × 10⁻¹¹ | <0,1 % |
| Israel: Southern Lebanon | 1,0 × 10⁻¹¹ | <0,1 % |
| Mayi Mayi Chini ya Tuna - Civilians | 1,0 × 10⁻¹¹ | <0,1 % |
| South Sudan: Government | 9,9 × 10⁻¹² | <0,1 % |
| Toposa - Turkana | 9,6 × 10⁻¹² | <0,1 % |
| Dinka - Nuer | 9,6 × 10⁻¹² | <0,1 % |
| Black Axe - SVC | 9,1 × 10⁻¹² | <0,1 % |
| IPOB - Civilians | 9,1 × 10⁻¹² | <0,1 % |
| Philippines: Islamic State | 8,2 × 10⁻¹² | <0,1 % |
| NUG - Civilians | 7,9 × 10⁻¹² | <0,1 % |
| Government of eSwatini (Swaziland) - Civilians | 7,9 × 10⁻¹² | <0,1 % |
| PCC - Civilians | 7,8 × 10⁻¹² | <0,1 % |
| Luba - Batwa | 7,5 × 10⁻¹² | <0,1 % |
| Agatu - Fulani | 7,3 × 10⁻¹² | <0,1 % |
| IS - Yan Gora | 7,3 × 10⁻¹² | <0,1 % |
| Deebam - NDV | 7,3 × 10⁻¹² | <0,1 % |
| Farmers (CAR) - Herders (CAR) | 6,9 × 10⁻¹² | <0,1 % |
| AAKG - Civilians | 6,9 × 10⁻¹² | <0,1 % |
| Ajeita - Bonde do Maluco | 6,9 × 10⁻¹² | <0,1 % |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 6,6 × 10⁻¹² | <0,1 % |
| Dan na Ambassagou - Civilians | 6,4 × 10⁻¹² | <0,1 % |
| EGC - Civilians | 6,3 × 10⁻¹² | <0,1 % |
| Syria: Government | 5,8 × 10⁻¹² | <0,1 % |
| CPI-Maoist - Civilians | 5,7 × 10⁻¹² | <0,1 % |
| Government of Brazil - Civilians | 5,2 × 10⁻¹² | <0,1 % |
| Tunisia: Government | 5,0 × 10⁻¹² | <0,1 % |
| Syria: Islamic State | 5,0 × 10⁻¹² | <0,1 % |
| GATIA - IS | 4,8 × 10⁻¹² | <0,1 % |
| Anti-Bala - Bala na Cara | 4,8 × 10⁻¹² | <0,1 % |
| Fatales, Los Aguilas - Los Lobos , Los Tiguerones | 4,7 × 10⁻¹² | <0,1 % |
| Bonde dos 40 - PCM | 4,3 × 10⁻¹² | <0,1 % |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 4,2 × 10⁻¹² | <0,1 % |
| Los Chone Killers - Latin Kings | 3,9 × 10⁻¹² | <0,1 % |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 3,8 × 10⁻¹² | <0,1 % |
| Jukun - Tiv | 3,6 × 10⁻¹² | <0,1 % |
| Los Aguilas - Los Lobos | 3,4 × 10⁻¹² | <0,1 % |
| FARC-EMC - Civilians | 3,3 × 10⁻¹² | <0,1 % |
| M18 - Civilians | 3,2 × 10⁻¹² | <0,1 % |
| Indonesia: West Papua | 3,2 × 10⁻¹² | <0,1 % |
| Los Choneros - Los Lagartos | 3,1 × 10⁻¹² | <0,1 % |
| Kokorat sans ras - Civilians | 3,1 × 10⁻¹² | <0,1 % |
| Misseriya - Ngok Dinka | 3,1 × 10⁻¹² | <0,1 % |
| Los Lobos - Los Tiguerones | 3,1 × 10⁻¹² | <0,1 % |
| Los Lagartos - Mafia 18 | 3,1 × 10⁻¹² | <0,1 % |
| Government of Egypt - Civilians | 3,0 × 10⁻¹² | <0,1 % |
| Pakistan: Balochistan | 2,9 × 10⁻¹² | <0,1 % |
| SNA - SDF | 2,8 × 10⁻¹² | <0,1 % |
| Los Ardillos - Los Tlacos | 2,8 × 10⁻¹² | <0,1 % |
| Kashmir insurgents - Civilians | 2,5 × 10⁻¹² | <0,1 % |
| DR Congo (Zaire): Katanga | 2,5 × 10⁻¹² | <0,1 % |
| Government of Uganda - Civilians | 2,5 × 10⁻¹² | <0,1 % |
| Twiganeho - Civilians | 2,5 × 10⁻¹² | <0,1 % |
| AFC - VDP | 2,5 × 10⁻¹² | <0,1 % |
| IS - MSA | 2,4 × 10⁻¹² | <0,1 % |
| United Kingdom, United States of America - Yemen | 2,4 × 10⁻¹² | <0,1 % |
| Los Aguilas - Los Lobos , Los Tiguerones | 2,3 × 10⁻¹² | <0,1 % |
| Pakistan: Islamic State | 2,2 × 10⁻¹² | <0,1 % |
| FARC-EMC - ELN | 2,2 × 10⁻¹² | <0,1 % |
| ARSA - Civilians | 2,1 × 10⁻¹² | <0,1 % |
| Choa Arab - Kotoko | 2,0 × 10⁻¹² | <0,1 % |
| Choa Arab - Musgum | 2,0 × 10⁻¹² | <0,1 % |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 2,0 × 10⁻¹² | <0,1 % |
| Azerbaijan: Artsakh (Nagorno-Karabakh) | 1,7 × 10⁻¹² | <0,1 % |
| Iran - Israel | 1,7 × 10⁻¹² | <0,1 % |
| Government of Yemen (North Yemen) - Civilians | 1,7 × 10⁻¹² | <0,1 % |
| Morocco: Sahrawi Arab Democratic Republic (Western Sahara) | 1,7 × 10⁻¹² | <0,1 % |
| CPP - Civilians | 1,7 × 10⁻¹² | <0,1 % |
| Forces of Tony Peña - Los Hondureños | 1,6 × 10⁻¹² | <0,1 % |
| Turkey: Kurdistan | 1,5 × 10⁻¹² | <0,1 % |
| OPM - Civilians | 1,5 × 10⁻¹² | <0,1 % |
| FARC - Segunda Marquetalia - Civilians | 1,4 × 10⁻¹² | <0,1 % |
| ELN - Civilians | 1,4 × 10⁻¹² | <0,1 % |
| DZ Mafia - Yoda | 1,4 × 10⁻¹² | <0,1 % |
| Colombia: Government | 1,3 × 10⁻¹² | <0,1 % |
| IS - SDF | 1,3 × 10⁻¹² | <0,1 % |
| Ambulin, Lungupin, Nenei, Sau, Sau Walep, Yandamau, Yopo - Kaekin, Lanzerakin, Lyona, Mupapalu, Murap, Palinau, Sakaikin, Sikin, Wapukin | 1,3 × 10⁻¹² | <0,1 % |
| Los Costenos - Los Pepes | 1,1 × 10⁻¹² | <0,1 % |
| Government of Pakistan - Civilians | 1,1 × 10⁻¹² | <0,1 % |
| EGC - ELN, FARC-EMC | 1,1 × 10⁻¹² | <0,1 % |
| Hindus (India) - Muslims (India) | 1,1 × 10⁻¹² | <0,1 % |
| EGC - ELN | 1,1 × 10⁻¹² | <0,1 % |
| Myanmar (Burma): Shan | 1,1 × 10⁻¹² | <0,1 % |
| Deir ez Zor Military Council - SDF | 1,0 × 10⁻¹² | <0,1 % |
| Government of India - Civilians | 9,3 × 10⁻¹³ | <0,1 % |
| Patani insurgents - Civilians | 7,6 × 10⁻¹³ | <0,1 % |
| Shia (Pakistan) - Sunni (Pakistan) | 7,5 × 10⁻¹³ | <0,1 % |
| MS-13 - Civilians | 7,0 × 10⁻¹³ | <0,1 % |
| Iraq: Government | 6,7 × 10⁻¹³ | <0,1 % |
| Egypt: Islamic State | 5,9 × 10⁻¹³ | <0,1 % |
| Los Rusos, UPOEG - Los Tlacos | 5,8 × 10⁻¹³ | <0,1 % |
| India: Western South East Asia | 5,3 × 10⁻¹³ | <0,1 % |
| Jalisco Cartel New Generation - Civilians | 5,2 × 10⁻¹³ | <0,1 % |
| Jalisco Cartel New Generation - Pájaros Sierra | 4,9 × 10⁻¹³ | <0,1 % |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 4,6 × 10⁻¹³ | <0,1 % |
| Syria: Government/Rojava Kurdistan | 4,4 × 10⁻¹³ | <0,1 % |
| Amigos dos Amigos - Comando Vermelho | 4,3 × 10⁻¹³ | <0,1 % |
| FDN - PCC | 4,3 × 10⁻¹³ | <0,1 % |
| Israel: Palestine | 4,3 × 10⁻¹³ | <0,1 % |
| Government of Mexico - Civilians | 4,1 × 10⁻¹³ | <0,1 % |
| Government of Colombia - Civilians | 3,8 × 10⁻¹³ | <0,1 % |
| Government of Indonesia - Civilians | 3,8 × 10⁻¹³ | <0,1 % |
| Los Ardillos - Los Rojos | 3,5 × 10⁻¹³ | <0,1 % |
| Supporters of Awami League - Supporters of BNP | 3,5 × 10⁻¹³ | <0,1 % |
| Government of Venezuela - Civilians | 3,3 × 10⁻¹³ | <0,1 % |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 3,3 × 10⁻¹³ | <0,1 % |
| BRAS - Civilians | 3,1 × 10⁻¹³ | <0,1 % |
| Peru: Government | 3,0 × 10⁻¹³ | <0,1 % |
| VHP - Civilians | 2,7 × 10⁻¹³ | <0,1 % |
| Algeria: Government | 2,7 × 10⁻¹³ | <0,1 % |
| Los Lobos - R7 | 2,6 × 10⁻¹³ | <0,1 % |
| Philippines: Mindanao | 2,1 × 10⁻¹³ | <0,1 % |
| Government of Philippines - Civilians | 2,1 × 10⁻¹³ | <0,1 % |
| Russia (Soviet Union): Government | 1,9 × 10⁻¹³ | <0,1 % |
| Israel - Syria | 1,8 × 10⁻¹³ | <0,1 % |
| Libya: Government | 1,8 × 10⁻¹³ | <0,1 % |
| TTP - Civilians | 1,8 × 10⁻¹³ | <0,1 % |
| Supporters of Awami League - Supporters of Jamaat-e-Islami | 1,7 × 10⁻¹³ | <0,1 % |
| Comandos de la Frontera - Civilians | 1,7 × 10⁻¹³ | <0,1 % |
| India - Pakistan | 1,3 × 10⁻¹³ | <0,1 % |
| India: Nagaland | 1,3 × 10⁻¹³ | <0,1 % |
| NSCN-IM - Civilians | 1,3 × 10⁻¹³ | <0,1 % |
| PLFI - Civilians | 1,3 × 10⁻¹³ | <0,1 % |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 1,3 × 10⁻¹³ | <0,1 % |
| Gulf Cartel - Sinaloa Cartel | 1,2 × 10⁻¹³ | <0,1 % |
| Gulf Cartel - Jalisco Cartel New Generation | 1,2 × 10⁻¹³ | <0,1 % |
| Syrian insurgents - Civilians | 9,8 × 10⁻¹⁴ | <0,1 % |
| Los Costenos - Civilians | 8,4 × 10⁻¹⁴ | <0,1 % |
| SDF - Civilians | 7,6 × 10⁻¹⁴ | <0,1 % |
| CATA - Codeta | 7,2 × 10⁻¹⁴ | <0,1 % |
| Government of South Africa - Civilians | 4,8 × 10⁻¹⁴ | <0,1 % |
| LeJ - Civilians | 2,6 × 10⁻¹⁴ | <0,1 % |
| Government of Papua New Guinea - Civilians | 1,9 × 10⁻¹⁴ | <0,1 % |
| Guerreros Unidos - Los Tlacos | 1,9 × 10⁻¹⁴ | <0,1 % |
| IS - HTS | 1,1 × 10⁻¹⁴ | <0,1 % |
| Russia: Islamic State | 9,6 × 10⁻¹⁵ | <0,1 % |
| Russia (Soviet Union): Chechnya | 3,9 × 10⁻¹⁵ | <0,1 % |
| Iran: Government | 1,9 × 10⁻¹⁵ | <0,1 % |
| PKK - Civilians | 7,3 × 10⁻¹⁶ | <0,1 % |
| Iran: Islamic State | 2,1 × 10⁻¹⁶ | <0,1 % |
| Government of Iran - Civilians | 1,6 × 10⁻¹⁶ | <0,1 % |
| Suma | 1,5 × 10⁻⁷ | = la cifra principal, 1,5 × 10⁻⁷ |
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 |
|---|---|---|
| Forestry and logging | 1,2 × 10⁻⁵ | 94 % |
| Mining and quarrying | 4,8 × 10⁻⁷ | 3,8 % |
| Crop and animal production, hunting and related service activities | 1,9 × 10⁻⁷ | 1,5 % |
| Land transport and transport via pipelines | 3,0 × 10⁻⁸ | 0,24 % |
| Water transport | 3,0 × 10⁻⁸ | 0,24 % |
| Manufacture of basic metals | 1,9 × 10⁻⁸ | 0,15 % |
| Warehousing and support activities for transportation | 1,7 × 10⁻⁸ | 0,13 % |
| Air transport | 8,6 × 10⁻⁹ | <0,1 % |
| Wholesale trade, except of motor vehicles and motorcycles | 5,6 × 10⁻⁹ | <0,1 % |
| Manufacture of other transport equipment | 3,4 × 10⁻⁹ | <0,1 % |
| Construction | 3,3 × 10⁻⁹ | <0,1 % |
| Manufacture of coke and refined petroleum products | 3,0 × 10⁻⁹ | <0,1 % |
| Manufacture of fabricated metal products, except machinery and equipment | 2,9 × 10⁻⁹ | <0,1 % |
| Retail trade, except of motor vehicles and motorcycles | 2,6 × 10⁻⁹ | <0,1 % |
| Postal and courier activities | 2,2 × 10⁻⁹ | <0,1 % |
| Public administration and defence; compulsory social security | 1,4 × 10⁻⁹ | <0,1 % |
| Water collection, treatment and supply | 1,0 × 10⁻⁹ | <0,1 % |
| Security and investigation, service and landscape, office administrative and support activities | 9,5 × 10⁻¹⁰ | <0,1 % |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 9,1 × 10⁻¹⁰ | <0,1 % |
| Electricity, gas, steam and air conditioning supply | 9,0 × 10⁻¹⁰ | <0,1 % |
| Rental and leasing activities | 8,5 × 10⁻¹⁰ | <0,1 % |
| Manufacture of chemicals and chemical products | 6,9 × 10⁻¹⁰ | <0,1 % |
| Sewerage, waste management, remediation activities | 5,3 × 10⁻¹⁰ | <0,1 % |
| Manufacture of machinery and equipment n.e.c. | 4,5 × 10⁻¹⁰ | <0,1 % |
| Employment activities | 4,3 × 10⁻¹⁰ | <0,1 % |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 4,0 × 10⁻¹⁰ | <0,1 % |
| Manufacture of rubber and plastic products | 3,2 × 10⁻¹⁰ | <0,1 % |
| Manufacture of motor vehicles, trailers and semi-trailers | 3,1 × 10⁻¹⁰ | <0,1 % |
| Repair and installation of machinery and equipment | 3,1 × 10⁻¹⁰ | <0,1 % |
| Manufacture of food products; beverages and tobacco products | 3,0 × 10⁻¹⁰ | <0,1 % |
| Legal and accounting activities; activities of head offices; management consultancy activities | 2,8 × 10⁻¹⁰ | <0,1 % |
| Accommodation and food service activities | 2,5 × 10⁻¹⁰ | <0,1 % |
| Manufacture of paper and paper products | 2,4 × 10⁻¹⁰ | <0,1 % |
| Manufacture of other non-metallic mineral products | 1,9 × 10⁻¹⁰ | <0,1 % |
| Manufacture of computer, electronic and optical products | 1,8 × 10⁻¹⁰ | <0,1 % |
| Human health activities | 1,7 × 10⁻¹⁰ | <0,1 % |
| Manufacture of textiles, wearing apparel, leather and related products | 1,6 × 10⁻¹⁰ | <0,1 % |
| Manufacture of electrical equipment | 1,5 × 10⁻¹⁰ | <0,1 % |
| Travel agency, tour operator reservation service and related activities | 1,4 × 10⁻¹⁰ | <0,1 % |
| Repair of computers and personal and household goods | 1,4 × 10⁻¹⁰ | <0,1 % |
| Architectural and engineering activities; technical testing and analysis | 1,1 × 10⁻¹⁰ | <0,1 % |
| Real estate activities | 1,0 × 10⁻¹⁰ | <0,1 % |
| Financial service activities, except insurance and pension funding | 9,5 × 10⁻¹¹ | <0,1 % |
| Computer programming, consultancy, and information service activities | 8,0 × 10⁻¹¹ | <0,1 % |
| Activities of membership organisations | 7,9 × 10⁻¹¹ | <0,1 % |
| Other personal service activities | 7,8 × 10⁻¹¹ | <0,1 % |
| Advertising and market research | 7,2 × 10⁻¹¹ | <0,1 % |
| Other professional, scientific and technical activities; veterinary activities | 6,4 × 10⁻¹¹ | <0,1 % |
| Fishing and aquaculture | 5,8 × 10⁻¹¹ | <0,1 % |
| Printing and reproduction of recorded media | 5,8 × 10⁻¹¹ | <0,1 % |
| Manufacture of furniture; other manufacturing | 4,7 × 10⁻¹¹ | <0,1 % |
| Sports activities and amusement and recreation activities | 4,1 × 10⁻¹¹ | <0,1 % |
| Telecommunications | 4,1 × 10⁻¹¹ | <0,1 % |
| Education | 3,4 × 10⁻¹¹ | <0,1 % |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 3,2 × 10⁻¹¹ | <0,1 % |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 3,0 × 10⁻¹¹ | <0,1 % |
| Insurance, reinsurance and pension funding, except compulsory social security | 2,6 × 10⁻¹¹ | <0,1 % |
| Activities auxiliary to financial services and insurance activities | 2,3 × 10⁻¹¹ | <0,1 % |
| Motion picture, video, television programme production; programming and broadcasting activities | 1,5 × 10⁻¹¹ | <0,1 % |
| Publishing activities | 1,3 × 10⁻¹¹ | <0,1 % |
| Scientific research and development | 1,2 × 10⁻¹¹ | <0,1 % |
| Residential care activities and social work activities without accommodation | 1,1 × 10⁻¹¹ | <0,1 % |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 1,9 × 10⁻¹² | <0,1 % |
| Suma | 1,3 × 10⁻⁵ | = la cifra principal, 1,3 × 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 | 1,1 × 10⁻⁵ | 91 % |
| Brasil | 4,3 × 10⁻⁷ | 3,4 % |
| México | 2,3 × 10⁻⁷ | 1,8 % |
| Estados Unidos | 7,4 × 10⁻⁸ | 0,59 % |
| Canadá | 6,7 × 10⁻⁸ | 0,53 % |
| Austria | 6,6 × 10⁻⁸ | 0,53 % |
| Rusia | 4,2 × 10⁻⁸ | 0,34 % |
| Alemania | 2,5 × 10⁻⁸ | 0,20 % |
| Francia | 2,3 × 10⁻⁸ | 0,18 % |
| Turquía | 1,9 × 10⁻⁸ | 0,15 % |
| Finlandia | 1,8 × 10⁻⁸ | 0,15 % |
| India | 1,8 × 10⁻⁸ | 0,14 % |
| Rumanía | 1,7 × 10⁻⁸ | 0,13 % |
| Suecia | 1,3 × 10⁻⁸ | 0,10 % |
| Indonesia | 1,1 × 10⁻⁸ | <0,1 % |
| Portugal | 1,1 × 10⁻⁸ | <0,1 % |
| Italia | 1,0 × 10⁻⁸ | <0,1 % |
| Corea del Sur | 8,9 × 10⁻⁹ | <0,1 % |
| España | 8,3 × 10⁻⁹ | <0,1 % |
| Japón | 8,0 × 10⁻⁹ | <0,1 % |
| Lituania | 5,8 × 10⁻⁹ | <0,1 % |
| Eslovaquia | 4,2 × 10⁻⁹ | <0,1 % |
| Chequia | 4,2 × 10⁻⁹ | <0,1 % |
| Letonia | 3,6 × 10⁻⁹ | <0,1 % |
| Polonia | 3,6 × 10⁻⁹ | <0,1 % |
| Australia | 3,3 × 10⁻⁹ | <0,1 % |
| Argentina | 2,6 × 10⁻⁹ | <0,1 % |
| Croacia | 2,5 × 10⁻⁹ | <0,1 % |
| Bulgaria | 2,5 × 10⁻⁹ | <0,1 % |
| Hungría | 2,0 × 10⁻⁹ | <0,1 % |
| Dinamarca | 1,7 × 10⁻⁹ | <0,1 % |
| Suiza | 1,4 × 10⁻⁹ | <0,1 % |
| Noruega | 1,4 × 10⁻⁹ | <0,1 % |
| Irlanda | 1,3 × 10⁻⁹ | <0,1 % |
| Eslovenia | 7,8 × 10⁻¹⁰ | <0,1 % |
| Bélgica | 5,6 × 10⁻¹⁰ | <0,1 % |
| Sudáfrica | 4,9 × 10⁻¹⁰ | <0,1 % |
| Estonia | 4,1 × 10⁻¹⁰ | <0,1 % |
| Grecia | 1,3 × 10⁻¹⁰ | <0,1 % |
| Países Bajos | 1,1 × 10⁻¹⁰ | <0,1 % |
| Luxemburgo | 8,8 × 10⁻¹¹ | <0,1 % |
| China | 5,3 × 10⁻¹¹ | <0,1 % |
| Arabia Saudí | 4,5 × 10⁻¹¹ | <0,1 % |
| Reino Unido | 1,7 × 10⁻¹¹ | <0,1 % |
| Chipre | 9,8 × 10⁻¹² | <0,1 % |
| Malta | 5,8 × 10⁻¹² | <0,1 % |
| Serbia | 1,1 × 10⁻¹⁴ | <0,1 % |
| Suma | 1,3 × 10⁻⁵ | = la cifra principal, 1,3 × 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.
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- 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.
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HumanToll 2026, ejecución 2259, metodología v1.0. https://quiescence.eu/humantoll/explain/charcoal-bag/