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Cómo se construye la cifra de Tejido de algodón
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 cotton fabric. 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 — 3,9 × 10⁻⁸ por unidad(1,5–9,5 × 10⁻⁸)BAJAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Vía monetaria — 1,4 × 10⁻⁶ por cada 1.000 € gastados en su industria(0,93–2,2 × 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 |
|---|---|---|---|---|
| Algodón | 0,0031 t | 1,2 × 10⁻⁸ | 3,9 × 10⁻⁸ | 100 % |
| Suma | 3,9 × 10⁻⁸ | = la cifra principal, 3,9 × 10⁻⁸ | ||
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 |
|---|---|---|
| Burkina Faso | 1,6 × 10⁻⁸ | 42 % |
| Mali | 3,6 × 10⁻⁹ | 9,4 % |
| Sudán | 2,6 × 10⁻⁹ | 6,7 % |
| México | 1,9 × 10⁻⁹ | 5,0 % |
| Israel | 1,9 × 10⁻⁹ | 4,8 % |
| Turquía | 1,8 × 10⁻⁹ | 4,7 % |
| Pakistán | 1,6 × 10⁻⁹ | 4,2 % |
| Brasil | 1,4 × 10⁻⁹ | 3,6 % |
| Camerún | 1,2 × 10⁻⁹ | 3,1 % |
| Myanmar (Birmania) | 9,0 × 10⁻¹⁰ | 2,3 % |
| Estados Unidos | 8,9 × 10⁻¹⁰ | 2,3 % |
| Siria | 7,5 × 10⁻¹⁰ | 1,9 % |
| Etiopía | 7,4 × 10⁻¹⁰ | 1,9 % |
| Nigeria | 3,6 × 10⁻¹⁰ | 0,94 % |
| Somalia | 3,3 × 10⁻¹⁰ | 0,87 % |
| Benín | 3,3 × 10⁻¹⁰ | 0,86 % |
| República Centroafricana | 3,2 × 10⁻¹⁰ | 0,84 % |
| India | 3,1 × 10⁻¹⁰ | 0,80 % |
| Afganistán | 2,9 × 10⁻¹⁰ | 0,76 % |
| Uzbekistán | 2,6 × 10⁻¹⁰ | 0,68 % |
| Grecia | 1,8 × 10⁻¹⁰ | 0,47 % |
| República Democrática del Congo | 1,2 × 10⁻¹⁰ | 0,30 % |
| Azerbaiyán | 1,1 × 10⁻¹⁰ | 0,29 % |
| Australia | 1,1 × 10⁻¹⁰ | 0,28 % |
| Togo | 9,0 × 10⁻¹¹ | 0,23 % |
| Argentina | 8,1 × 10⁻¹¹ | 0,21 % |
| Chad | 5,6 × 10⁻¹¹ | 0,15 % |
| Colombia | 4,5 × 10⁻¹¹ | 0,12 % |
| Mozambique | 4,4 × 10⁻¹¹ | 0,11 % |
| Níger | 3,6 × 10⁻¹¹ | <0,1 % |
| España | 3,4 × 10⁻¹¹ | <0,1 % |
| Uganda | 3,2 × 10⁻¹¹ | <0,1 % |
| Turkmenistán | 2,9 × 10⁻¹¹ | <0,1 % |
| Yemen | 2,4 × 10⁻¹¹ | <0,1 % |
| Haití | 1,6 × 10⁻¹¹ | <0,1 % |
| Burundi | 3,0 × 10⁻¹² | <0,1 % |
| Honduras | 2,8 × 10⁻¹² | <0,1 % |
| Ecuador | 2,8 × 10⁻¹² | <0,1 % |
| Kenia | 1,8 × 10⁻¹² | <0,1 % |
| Tailandia | 1,2 × 10⁻¹² | <0,1 % |
| Egipto | 9,6 × 10⁻¹³ | <0,1 % |
| Ghana | 6,7 × 10⁻¹³ | <0,1 % |
| Irán | 5,7 × 10⁻¹³ | <0,1 % |
| Bangladés | 3,8 × 10⁻¹³ | <0,1 % |
| Perú | 2,6 × 10⁻¹³ | <0,1 % |
| China | 2,5 × 10⁻¹³ | <0,1 % |
| Esuatini | 2,2 × 10⁻¹³ | <0,1 % |
| Guatemala | 1,9 × 10⁻¹³ | <0,1 % |
| Túnez | 1,3 × 10⁻¹³ | <0,1 % |
| Costa Rica | 8,4 × 10⁻¹⁴ | <0,1 % |
| Sudáfrica | 8,4 × 10⁻¹⁴ | <0,1 % |
| Venezuela | 6,7 × 10⁻¹⁴ | <0,1 % |
| Bolivia | 1,4 × 10⁻¹⁴ | <0,1 % |
| Filipinas | 1,1 × 10⁻¹⁴ | <0,1 % |
| Marruecos | 3,0 × 10⁻¹⁵ | <0,1 % |
| Argelia | 4,2 × 10⁻¹⁷ | <0,1 % |
| Suma | 3,9 × 10⁻⁸ | = la cifra principal, 3,9 × 10⁻⁸ |
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 | 3,5 × 10⁻⁸ | 91 % |
| Trabajo | 3,3 × 10⁻⁹ | 8,7 % |
| Suma | 3,9 × 10⁻⁸ | = la cifra principal, 3,9 × 10⁻⁸ |
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 |
|---|---|---|
| Burkina Faso: Government | 9,8 × 10⁻⁹ | 25 % |
| Sin ubicar | 3,3 × 10⁻⁹ | 8,7 % |
| JNIM - Civilians | 2,8 × 10⁻⁹ | 7,2 % |
| Burkina Faso: Islamic State | 2,0 × 10⁻⁹ | 5,2 % |
| Israel: Palestine | 1,8 × 10⁻⁹ | 4,7 % |
| Sudan: Government | 1,7 × 10⁻⁹ | 4,4 % |
| Mali: Government | 1,4 × 10⁻⁹ | 3,8 % |
| Pakistan: Government | 1,2 × 10⁻⁹ | 3,1 % |
| Government of Burkina Faso - Civilians | 1,1 × 10⁻⁹ | 2,7 % |
| IS - JNIM | 9,5 × 10⁻¹⁰ | 2,5 % |
| IS - Civilians | 9,5 × 10⁻¹⁰ | 2,5 % |
| Jalisco Cartel New Generation - Sinaloa Cartel | 7,6 × 10⁻¹⁰ | 2,0 % |
| RSF - Civilians | 7,1 × 10⁻¹⁰ | 1,8 % |
| Myanmar (Burma): Government | 5,0 × 10⁻¹⁰ | 1,3 % |
| Comando Vermelho - PCC | 4,0 × 10⁻¹⁰ | 1,0 % |
| Ethiopia: Government/Amhara | 3,9 × 10⁻¹⁰ | 1,0 % |
| Government of Mali - Civilians | 3,6 × 10⁻¹⁰ | 0,94 % |
| Cameroon: Ambazonia | 3,6 × 10⁻¹⁰ | 0,93 % |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 3,3 × 10⁻¹⁰ | 0,85 % |
| Somalia: Government | 3,1 × 10⁻¹⁰ | 0,80 % |
| Mali: Government/Azawad | 3,0 × 10⁻¹⁰ | 0,78 % |
| Mali: Islamic State | 3,0 × 10⁻¹⁰ | 0,77 % |
| Syria: Government | 3,0 × 10⁻¹⁰ | 0,77 % |
| Juarez Cartel - Sinaloa Cartel | 2,9 × 10⁻¹⁰ | 0,76 % |
| Carteles Unidos - Jalisco Cartel New Generation | 2,2 × 10⁻¹⁰ | 0,57 % |
| JAS - Civilians | 2,2 × 10⁻¹⁰ | 0,56 % |
| Cameroon: Government | 2,1 × 10⁻¹⁰ | 0,55 % |
| Benin: Government | 2,0 × 10⁻¹⁰ | 0,52 % |
| Ambazonia insurgents - Civilians | 1,9 × 10⁻¹⁰ | 0,51 % |
| Central African Republic: Government | 1,9 × 10⁻¹⁰ | 0,50 % |
| Government of Myanmar (Burma) - Civilians | 1,7 × 10⁻¹⁰ | 0,45 % |
| Syria: Islamic State | 1,7 × 10⁻¹⁰ | 0,45 % |
| Dan na Ambassagou - JNIM | 1,5 × 10⁻¹⁰ | 0,39 % |
| Pakistan: Balochistan | 1,5 × 10⁻¹⁰ | 0,39 % |
| Bonde do Maluco - Comando Vermelho | 1,4 × 10⁻¹⁰ | 0,38 % |
| Ethiopia: Oromiya | 1,4 × 10⁻¹⁰ | 0,37 % |
| Cartel do Norte - Comando Vermelho | 1,3 × 10⁻¹⁰ | 0,34 % |
| Nigeria: Islamic State | 1,3 × 10⁻¹⁰ | 0,34 % |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 1,3 × 10⁻¹⁰ | 0,33 % |
| Afghanistan: Islamic State | 1,2 × 10⁻¹⁰ | 0,32 % |
| Pakistan: Islamic State | 1,2 × 10⁻¹⁰ | 0,30 % |
| Cameroon: Islamic State | 9,9 × 10⁻¹¹ | 0,26 % |
| SNA - SDF | 9,7 × 10⁻¹¹ | 0,25 % |
| Azerbaijan: Artsakh (Nagorno-Karabakh) | 9,7 × 10⁻¹¹ | 0,25 % |
| Turkey: Kurdistan | 9,5 × 10⁻¹¹ | 0,25 % |
| Bonde dos 40 - PCC | 9,3 × 10⁻¹¹ | 0,24 % |
| India: Kashmir | 9,0 × 10⁻¹¹ | 0,23 % |
| Myanmar (Burma): Kachin | 8,6 × 10⁻¹¹ | 0,22 % |
| Beni Halba Baggara - Salamat Baggara | 7,7 × 10⁻¹¹ | 0,20 % |
| Kuki - Meitei | 7,7 × 10⁻¹¹ | 0,20 % |
| AAKG - CPC | 7,7 × 10⁻¹¹ | 0,20 % |
| India: Government | 7,2 × 10⁻¹¹ | 0,19 % |
| Comando Vermelho - GDE | 7,1 × 10⁻¹¹ | 0,18 % |
| Nova Okaida - Estados Unidos | 7,0 × 10⁻¹¹ | 0,18 % |
| GDE, PCC - Sindicato do Crime | 6,9 × 10⁻¹¹ | 0,18 % |
| Afghanistan: Government | 6,1 × 10⁻¹¹ | 0,16 % |
| PCC - Sindicato do Crime | 6,1 × 10⁻¹¹ | 0,16 % |
| Amigos Para Sempre - Família Terror Amapá | 6,1 × 10⁻¹¹ | 0,16 % |
| Iran - Israel | 6,0 × 10⁻¹¹ | 0,16 % |
| Government of Ethiopia - Civilians | 5,9 × 10⁻¹¹ | 0,15 % |
| Myanmar (Burma): Karen | 5,6 × 10⁻¹¹ | 0,15 % |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 5,6 × 10⁻¹¹ | 0,14 % |
| Habaniya - Salamat Baggara | 5,4 × 10⁻¹¹ | 0,14 % |
| Nigeria: Government | 5,1 × 10⁻¹¹ | 0,13 % |
| Comando Vermelho - Civilians | 5,1 × 10⁻¹¹ | 0,13 % |
| Government of Cameroon - Civilians | 4,7 × 10⁻¹¹ | 0,12 % |
| OLA - Civilians | 4,6 × 10⁻¹¹ | 0,12 % |
| Hamas - Civilians | 4,5 × 10⁻¹¹ | 0,12 % |
| IS - SDF | 4,5 × 10⁻¹¹ | 0,12 % |
| Myanmar (Burma): Karenni | 4,4 × 10⁻¹¹ | 0,11 % |
| Dozos (Mali) - JNIM | 4,1 × 10⁻¹¹ | 0,11 % |
| Fano - Civilians | 4,1 × 10⁻¹¹ | 0,11 % |
| Shia (Pakistan) - Sunni (Pakistan) | 3,9 × 10⁻¹¹ | 0,10 % |
| Anuak - Nuer | 3,9 × 10⁻¹¹ | 0,10 % |
| Arab - Gimir | 3,9 × 10⁻¹¹ | 0,10 % |
| Bonde dos 13, PCC - Comando Vermelho | 3,7 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - Comando Vermelho | 3,7 × 10⁻¹¹ | <0,1 % |
| Deir ez Zor Military Council - SDF | 3,5 × 10⁻¹¹ | <0,1 % |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 3,5 × 10⁻¹¹ | <0,1 % |
| Togo: Government | 3,4 × 10⁻¹¹ | <0,1 % |
| Government of Afghanistan - Civilians | 3,3 × 10⁻¹¹ | <0,1 % |
| CPI-Maoist - Civilians | 3,2 × 10⁻¹¹ | <0,1 % |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 3,2 × 10⁻¹¹ | <0,1 % |
| IS - JAS | 3,1 × 10⁻¹¹ | <0,1 % |
| Chad: Government | 3,0 × 10⁻¹¹ | <0,1 % |
| Mozambique: Islamic State | 2,8 × 10⁻¹¹ | <0,1 % |
| Comités locaux de vigilance - JAS | 2,8 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Holanda | 2,6 × 10⁻¹¹ | <0,1 % |
| Central African Republic: Logone | 2,4 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Arakan | 2,4 × 10⁻¹¹ | <0,1 % |
| Los Ardillos - Los Tlacos | 2,3 × 10⁻¹¹ | <0,1 % |
| Dozos (Mali) - Civilians | 2,3 × 10⁻¹¹ | <0,1 % |
| SSC-Khatumo Administration - Republic of Somaliland | 2,3 × 10⁻¹¹ | <0,1 % |
| Farmers (Chad) - Herders (Chad) | 2,2 × 10⁻¹¹ | <0,1 % |
| CPC - Civilians | 2,1 × 10⁻¹¹ | <0,1 % |
| Yemen (North Yemen): Government | 2,0 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Massa | 2,0 × 10⁻¹¹ | <0,1 % |
| Nova Okaida - PCC | 1,9 × 10⁻¹¹ | <0,1 % |
| URDPC - Civilians | 1,9 × 10⁻¹¹ | <0,1 % |
| Niger: Islamic State | 1,8 × 10⁻¹¹ | <0,1 % |
| Fulani - Mwaghavul | 1,8 × 10⁻¹¹ | <0,1 % |
| Bonde do Maluco - Katiara | 1,8 × 10⁻¹¹ | <0,1 % |
| Bonde do Maluco - Civilians | 1,8 × 10⁻¹¹ | <0,1 % |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 1,7 × 10⁻¹¹ | <0,1 % |
| Fulani - Mwaghavul , Ron | 1,7 × 10⁻¹¹ | <0,1 % |
| Twic Dinka - Ngok Dinka | 1,7 × 10⁻¹¹ | <0,1 % |
| BRAS - Civilians | 1,6 × 10⁻¹¹ | <0,1 % |
| Fulani - Tiv | 1,6 × 10⁻¹¹ | <0,1 % |
| Syria: Government/Rojava Kurdistan | 1,5 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Kokang | 1,4 × 10⁻¹¹ | <0,1 % |
| Kashmir insurgents - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| Dan na Ambassagou - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| Afghanistan - Pakistan | 1,4 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - Civilians | 1,4 × 10⁻¹¹ | <0,1 % |
| Farmers (Nigeria) - Herders (Nigeria) | 1,4 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Terceiro Comando Puro | 1,3 × 10⁻¹¹ | <0,1 % |
| Lengola - Mbole | 1,2 × 10⁻¹¹ | <0,1 % |
| Arab - Masalit | 1,2 × 10⁻¹¹ | <0,1 % |
| GATIA - IS | 1,1 × 10⁻¹¹ | <0,1 % |
| Amhara - Oromo | 1,1 × 10⁻¹¹ | <0,1 % |
| PCC - Civilians | 1,0 × 10⁻¹¹ | <0,1 % |
| Nigeria: Biafra | 9,7 × 10⁻¹² | <0,1 % |
| TTP - Civilians | 9,5 × 10⁻¹² | <0,1 % |
| Ajeita - Bonde do Maluco | 9,0 × 10⁻¹² | <0,1 % |
| Uganda: Islamic State | 8,8 × 10⁻¹² | <0,1 % |
| Government of Rwanda - Civilians | 8,7 × 10⁻¹² | <0,1 % |
| DR Congo (Zaire): Government | 8,6 × 10⁻¹² | <0,1 % |
| DR Congo (Zaire): Islamic State | 8,6 × 10⁻¹² | <0,1 % |
| Hausa - Nuba | 7,7 × 10⁻¹² | <0,1 % |
| Government of Pakistan - Civilians | 7,6 × 10⁻¹² | <0,1 % |
| Birom - Fulani | 7,2 × 10⁻¹² | <0,1 % |
| Government of Central African Republic - Civilians | 6,8 × 10⁻¹² | <0,1 % |
| Government of Brazil - Civilians | 6,7 × 10⁻¹² | <0,1 % |
| Israel - Syria | 6,4 × 10⁻¹² | <0,1 % |
| Atyap - Fulani | 6,2 × 10⁻¹² | <0,1 % |
| Anti-Bala - Bala na Cara | 6,2 × 10⁻¹² | <0,1 % |
| Hindus (India) - Muslims (India) | 6,0 × 10⁻¹² | <0,1 % |
| Karimjo - Wurukum | 5,9 × 10⁻¹² | <0,1 % |
| Bonde dos 40 - PCM | 5,6 × 10⁻¹² | <0,1 % |
| Black Axe - Eyie | 5,5 × 10⁻¹² | <0,1 % |
| EGC - Civilians | 5,4 × 10⁻¹² | <0,1 % |
| IS - MSA | 5,3 × 10⁻¹² | <0,1 % |
| M23 - VDP | 5,3 × 10⁻¹² | <0,1 % |
| Government of India - Civilians | 5,3 × 10⁻¹² | <0,1 % |
| Mobondo - Civilians | 5,1 × 10⁻¹² | <0,1 % |
| Los Rusos, UPOEG - Los Tlacos | 4,9 × 10⁻¹² | <0,1 % |
| Forces of Terwase Akwanza - Civilians | 4,9 × 10⁻¹² | <0,1 % |
| IS - Naparama | 4,8 × 10⁻¹² | <0,1 % |
| Guraghe - Mareqo | 4,6 × 10⁻¹² | <0,1 % |
| Fulani - Idoma | 4,5 × 10⁻¹² | <0,1 % |
| NUG - Civilians | 4,4 × 10⁻¹² | <0,1 % |
| Jalisco Cartel New Generation - Civilians | 4,4 × 10⁻¹² | <0,1 % |
| Fulani - Kuteb | 4,3 × 10⁻¹² | <0,1 % |
| M23 - Civilians | 4,1 × 10⁻¹² | <0,1 % |
| Jalisco Cartel New Generation - Pájaros Sierra | 4,1 × 10⁻¹² | <0,1 % |
| Rwanda: Government | 3,6 × 10⁻¹² | <0,1 % |
| Niger: Government | 3,6 × 10⁻¹² | <0,1 % |
| Government of Mexico - Civilians | 3,4 × 10⁻¹² | <0,1 % |
| Syrian insurgents - Civilians | 3,4 × 10⁻¹² | <0,1 % |
| Government of DR Congo (Zaire) - Civilians | 3,3 × 10⁻¹² | <0,1 % |
| Al-Shabaab - Civilians | 3,2 × 10⁻¹² | <0,1 % |
| Murle - Nuer | 3,1 × 10⁻¹² | <0,1 % |
| Government of Israel - Civilians | 3,1 × 10⁻¹² | <0,1 % |
| Hawazma - Nuba | 3,1 × 10⁻¹² | <0,1 % |
| Colombia: Government | 3,0 × 10⁻¹² | <0,1 % |
| Government of Nigeria - Civilians | 3,0 × 10⁻¹² | <0,1 % |
| India: Western South East Asia | 3,0 × 10⁻¹² | <0,1 % |
| Los Ardillos - Los Rojos | 2,9 × 10⁻¹² | <0,1 % |
| Government of Haiti - Civilians | 2,9 × 10⁻¹² | <0,1 % |
| FARC-EMC - Civilians | 2,9 × 10⁻¹² | <0,1 % |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 2,8 × 10⁻¹² | <0,1 % |
| Hausa - Funj | 2,8 × 10⁻¹² | <0,1 % |
| AQAP - Forces of the Presidential Leadership Council | 2,7 × 10⁻¹² | <0,1 % |
| G9 - G-Pep | 2,7 × 10⁻¹² | <0,1 % |
| SDF - Civilians | 2,6 × 10⁻¹² | <0,1 % |
| Chain Guys - Full Force | 2,5 × 10⁻¹² | <0,1 % |
| Terre Noire - Civilians | 2,5 × 10⁻¹² | <0,1 % |
| Government of Sudan - Civilians | 2,5 × 10⁻¹² | <0,1 % |
| 5 Segond, Taliban - Civilians | 2,4 × 10⁻¹² | <0,1 % |
| M18 - MS-13 | 2,4 × 10⁻¹² | <0,1 % |
| Grand Ravine - Civilians | 2,3 × 10⁻¹² | <0,1 % |
| Burundi: Government | 2,3 × 10⁻¹² | <0,1 % |
| Government of Mozambique - Civilians | 2,1 × 10⁻¹² | <0,1 % |
| Choa Arab - Kotoko | 1,9 × 10⁻¹² | <0,1 % |
| Choa Arab - Musgum | 1,9 × 10⁻¹² | <0,1 % |
| FARC-EMC - ELN | 1,9 × 10⁻¹² | <0,1 % |
| PKK - Civilians | 1,8 × 10⁻¹² | <0,1 % |
| G-Pep - Civilians | 1,7 × 10⁻¹² | <0,1 % |
| URDPC - Zaire self-defense group | 1,7 × 10⁻¹² | <0,1 % |
| Sa'ad subclan of Habar Gidir clan (Hawiye) - Leelkase subclan (Darod) | 1,6 × 10⁻¹² | <0,1 % |
| Kenya: Northeastern Province and Coast | 1,6 × 10⁻¹² | <0,1 % |
| Farmers (CAR) - Herders (CAR) | 1,5 × 10⁻¹² | <0,1 % |
| AAKG - Civilians | 1,5 × 10⁻¹² | <0,1 % |
| VHP - Civilians | 1,5 × 10⁻¹² | <0,1 % |
| Zaire self-defense group - Civilians | 1,5 × 10⁻¹² | <0,1 % |
| VDP - Civilians | 1,4 × 10⁻¹² | <0,1 % |
| Hausa - Fulani | 1,4 × 10⁻¹² | <0,1 % |
| Israel: Southern Lebanon | 1,4 × 10⁻¹² | <0,1 % |
| Djerma (Zherma) - Fulani | 1,4 × 10⁻¹² | <0,1 % |
| LeJ - Civilians | 1,4 × 10⁻¹² | <0,1 % |
| FARC - Segunda Marquetalia - Civilians | 1,2 × 10⁻¹² | <0,1 % |
| Somalia: Islamic State | 1,2 × 10⁻¹² | <0,1 % |
| ELN - Civilians | 1,2 × 10⁻¹² | <0,1 % |
| FPIC Chambre noire sanduku - URDPC | 1,1 × 10⁻¹² | <0,1 % |
| FPIC Chambre noire sanduku - Civilians | 1,1 × 10⁻¹² | <0,1 % |
| Fulani - Irigwe | 1,0 × 10⁻¹² | <0,1 % |
| Los Costenos - Los Pepes | 9,8 × 10⁻¹³ | <0,1 % |
| Gulf Cartel - Sinaloa Cartel | 9,8 × 10⁻¹³ | <0,1 % |
| Gulf Cartel - Jalisco Cartel New Generation | 9,8 × 10⁻¹³ | <0,1 % |
| Government of Burundi - Civilians | 9,5 × 10⁻¹³ | <0,1 % |
| EGC - ELN, FARC-EMC | 9,5 × 10⁻¹³ | <0,1 % |
| Amhara - Gumuz | 9,3 × 10⁻¹³ | <0,1 % |
| EGC - ELN | 9,1 × 10⁻¹³ | <0,1 % |
| Los Choneros - Los Lobos | 9,0 × 10⁻¹³ | <0,1 % |
| Fulani - Igala | 8,4 × 10⁻¹³ | <0,1 % |
| Government of Egypt - Civilians | 8,0 × 10⁻¹³ | <0,1 % |
| AFC - Civilians | 7,9 × 10⁻¹³ | <0,1 % |
| Greenlanders - NDV | 7,5 × 10⁻¹³ | <0,1 % |
| Black Axe - Maphite | 7,5 × 10⁻¹³ | <0,1 % |
| India - Pakistan | 7,5 × 10⁻¹³ | <0,1 % |
| India: Nagaland | 7,5 × 10⁻¹³ | <0,1 % |
| NSCN-IM - Civilians | 7,5 × 10⁻¹³ | <0,1 % |
| PLFI - Civilians | 7,5 × 10⁻¹³ | <0,1 % |
| AFP-Gutabara - CNPSC, FABB | 7,4 × 10⁻¹³ | <0,1 % |
| Kusasi - Mamprusi | 6,7 × 10⁻¹³ | <0,1 % |
| Gran Grif - Civilians | 6,6 × 10⁻¹³ | <0,1 % |
| 400 Mawozo - Civilians | 6,6 × 10⁻¹³ | <0,1 % |
| Misseriya - Ngok Dinka | 6,1 × 10⁻¹³ | <0,1 % |
| Myanmar (Burma): Shan | 5,9 × 10⁻¹³ | <0,1 % |
| ARSA - Civilians | 5,8 × 10⁻¹³ | <0,1 % |
| Amigos dos Amigos - Comando Vermelho | 5,6 × 10⁻¹³ | <0,1 % |
| FDN - PCC | 5,6 × 10⁻¹³ | <0,1 % |
| M18 - Civilians | 5,1 × 10⁻¹³ | <0,1 % |
| Supporters of APC - Supporters of PDP | 5,0 × 10⁻¹³ | <0,1 % |
| Iran: Government | 4,8 × 10⁻¹³ | <0,1 % |
| United Kingdom, United States of America - Yemen | 4,3 × 10⁻¹³ | <0,1 % |
| Black Axe - SVC | 4,2 × 10⁻¹³ | <0,1 % |
| IPOB - Civilians | 4,2 × 10⁻¹³ | <0,1 % |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 4,0 × 10⁻¹³ | <0,1 % |
| IS - HTS | 3,8 × 10⁻¹³ | <0,1 % |
| Fatales, Los Aguilas - Los Lobos , Los Tiguerones | 3,8 × 10⁻¹³ | <0,1 % |
| Agatu - Fulani | 3,4 × 10⁻¹³ | <0,1 % |
| IS - Yan Gora | 3,4 × 10⁻¹³ | <0,1 % |
| Deebam - NDV | 3,4 × 10⁻¹³ | <0,1 % |
| Government of Colombia - Civilians | 3,3 × 10⁻¹³ | <0,1 % |
| Government of Somalia - Civilians | 3,2 × 10⁻¹³ | <0,1 % |
| Los Chone Killers - Latin Kings | 3,1 × 10⁻¹³ | <0,1 % |
| Government of Yemen (North Yemen) - Civilians | 3,1 × 10⁻¹³ | <0,1 % |
| Los Aguilas - Los Lobos | 2,8 × 10⁻¹³ | <0,1 % |
| AFP-Gutabara - FABB | 2,7 × 10⁻¹³ | <0,1 % |
| Peru: Government | 2,6 × 10⁻¹³ | <0,1 % |
| Los Choneros - Los Lagartos | 2,5 × 10⁻¹³ | <0,1 % |
| Los Lobos - Los Tiguerones | 2,5 × 10⁻¹³ | <0,1 % |
| Los Lagartos - Mafia 18 | 2,5 × 10⁻¹³ | <0,1 % |
| Government of eSwatini (Swaziland) - Civilians | 2,2 × 10⁻¹³ | <0,1 % |
| FRPI - Civilians | 2,2 × 10⁻¹³ | <0,1 % |
| DZ Mafia - Yoda | 2,0 × 10⁻¹³ | <0,1 % |
| Los Aguilas - Los Lobos , Los Tiguerones | 1,9 × 10⁻¹³ | <0,1 % |
| Jukun - Tiv | 1,7 × 10⁻¹³ | <0,1 % |
| Guerreros Unidos - Los Tlacos | 1,6 × 10⁻¹³ | <0,1 % |
| Egypt: Islamic State | 1,6 × 10⁻¹³ | <0,1 % |
| Al-Shabaab - IS | 1,6 × 10⁻¹³ | <0,1 % |
| Basonge - Bena Nkoma (Bakwa Luntu, Luba) | 1,5 × 10⁻¹³ | <0,1 % |
| Comandos de la Frontera - Civilians | 1,5 × 10⁻¹³ | <0,1 % |
| Tunisia: Government | 1,3 × 10⁻¹³ | <0,1 % |
| FDLR-FOCA - Civilians | 1,2 × 10⁻¹³ | <0,1 % |
| FPIC Chambre noire sanduku - FRPI | 1,2 × 10⁻¹³ | <0,1 % |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 1,1 × 10⁻¹³ | <0,1 % |
| MS-13 - Civilians | 1,1 × 10⁻¹³ | <0,1 % |
| Mayi Mayi Chini ya Tuna - Civilians | 9,9 × 10⁻¹⁴ | <0,1 % |
| Forces of Tony Peña - Los Hondureños | 8,4 × 10⁻¹⁴ | <0,1 % |
| South Sudan: Government | 7,4 × 10⁻¹⁴ | <0,1 % |
| Luba - Batwa | 7,4 × 10⁻¹⁴ | <0,1 % |
| Los Costenos - Civilians | 7,3 × 10⁻¹⁴ | <0,1 % |
| Kokorat sans ras - Civilians | 7,0 × 10⁻¹⁴ | <0,1 % |
| Supporters of Awami League - Supporters of BNP | 6,3 × 10⁻¹⁴ | <0,1 % |
| Government of Venezuela - Civilians | 5,5 × 10⁻¹⁴ | <0,1 % |
| Thailand: Patani | 5,4 × 10⁻¹⁴ | <0,1 % |
| Iran: Islamic State | 5,3 × 10⁻¹⁴ | <0,1 % |
| CATA - Codeta | 5,0 × 10⁻¹⁴ | <0,1 % |
| Government of Iran - Civilians | 4,0 × 10⁻¹⁴ | <0,1 % |
| Government of South Africa - Civilians | 3,3 × 10⁻¹⁴ | <0,1 % |
| Supporters of Awami League - Supporters of Jamaat-e-Islami | 3,1 × 10⁻¹⁴ | <0,1 % |
| DR Congo (Zaire): Katanga | 2,5 × 10⁻¹⁴ | <0,1 % |
| Government of Uganda - Civilians | 2,5 × 10⁻¹⁴ | <0,1 % |
| Twiganeho - Civilians | 2,5 × 10⁻¹⁴ | <0,1 % |
| AFC - VDP | 2,5 × 10⁻¹⁴ | <0,1 % |
| RED-TABARA - Civilians | 2,4 × 10⁻¹⁴ | <0,1 % |
| Los Lobos - R7 | 2,1 × 10⁻¹⁴ | <0,1 % |
| Philippines: Government | 6,9 × 10⁻¹⁵ | <0,1 % |
| Philippines: Islamic State | 3,3 × 10⁻¹⁵ | <0,1 % |
| Morocco: Sahrawi Arab Democratic Republic (Western Sahara) | 3,0 × 10⁻¹⁵ | <0,1 % |
| Patani insurgents - Civilians | 1,8 × 10⁻¹⁵ | <0,1 % |
| CPP - Civilians | 6,7 × 10⁻¹⁶ | <0,1 % |
| Philippines: Mindanao | 8,4 × 10⁻¹⁷ | <0,1 % |
| Government of Philippines - Civilians | 8,4 × 10⁻¹⁷ | <0,1 % |
| Algeria: Government | 4,2 × 10⁻¹⁷ | <0,1 % |
| Suma | 3,9 × 10⁻⁸ | = la cifra principal, 3,9 × 10⁻⁸ |
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 | 8,0 × 10⁻⁷ | 56 % |
| Crop and animal production, hunting and related service activities | 3,2 × 10⁻⁷ | 22 % |
| Land transport and transport via pipelines | 5,9 × 10⁻⁸ | 4,1 % |
| Manufacture of textiles, wearing apparel, leather and related products | 5,4 × 10⁻⁸ | 3,8 % |
| Water transport | 3,8 × 10⁻⁸ | 2,7 % |
| Manufacture of basic metals | 3,1 × 10⁻⁸ | 2,2 % |
| Warehousing and support activities for transportation | 2,6 × 10⁻⁸ | 1,8 % |
| Forestry and logging | 2,4 × 10⁻⁸ | 1,7 % |
| Air transport | 1,9 × 10⁻⁸ | 1,3 % |
| Wholesale trade, except of motor vehicles and motorcycles | 1,4 × 10⁻⁸ | 1,0 % |
| Retail trade, except of motor vehicles and motorcycles | 6,5 × 10⁻⁹ | 0,46 % |
| Postal and courier activities | 4,4 × 10⁻⁹ | 0,31 % |
| Manufacture of chemicals and chemical products | 3,8 × 10⁻⁹ | 0,26 % |
| Water collection, treatment and supply | 3,5 × 10⁻⁹ | 0,24 % |
| Construction | 2,4 × 10⁻⁹ | 0,17 % |
| Manufacture of fabricated metal products, except machinery and equipment | 2,3 × 10⁻⁹ | 0,16 % |
| Manufacture of coke and refined petroleum products | 2,3 × 10⁻⁹ | 0,16 % |
| Public administration and defence; compulsory social security | 2,0 × 10⁻⁹ | 0,14 % |
| Manufacture of other transport equipment | 1,8 × 10⁻⁹ | 0,12 % |
| Security and investigation, service and landscape, office administrative and support activities | 1,8 × 10⁻⁹ | 0,12 % |
| Electricity, gas, steam and air conditioning supply | 1,7 × 10⁻⁹ | 0,12 % |
| Employment activities | 1,0 × 10⁻⁹ | <0,1 % |
| Rental and leasing activities | 9,8 × 10⁻¹⁰ | <0,1 % |
| Manufacture of rubber and plastic products | 9,1 × 10⁻¹⁰ | <0,1 % |
| Manufacture of food products; beverages and tobacco products | 8,8 × 10⁻¹⁰ | <0,1 % |
| Sewerage, waste management, remediation activities | 8,8 × 10⁻¹⁰ | <0,1 % |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 8,7 × 10⁻¹⁰ | <0,1 % |
| Manufacture of paper and paper products | 6,9 × 10⁻¹⁰ | <0,1 % |
| Legal and accounting activities; activities of head offices; management consultancy activities | 6,1 × 10⁻¹⁰ | <0,1 % |
| Accommodation and food service activities | 5,6 × 10⁻¹⁰ | <0,1 % |
| Manufacture of computer, electronic and optical products | 4,0 × 10⁻¹⁰ | <0,1 % |
| Manufacture of machinery and equipment n.e.c. | 3,5 × 10⁻¹⁰ | <0,1 % |
| Repair and installation of machinery and equipment | 3,0 × 10⁻¹⁰ | <0,1 % |
| Manufacture of other non-metallic mineral products | 2,7 × 10⁻¹⁰ | <0,1 % |
| Real estate activities | 2,6 × 10⁻¹⁰ | <0,1 % |
| Manufacture of electrical equipment | 2,5 × 10⁻¹⁰ | <0,1 % |
| Manufacture of motor vehicles, trailers and semi-trailers | 2,5 × 10⁻¹⁰ | <0,1 % |
| Human health activities | 1,9 × 10⁻¹⁰ | <0,1 % |
| Manufacture of furniture; other manufacturing | 1,9 × 10⁻¹⁰ | <0,1 % |
| Advertising and market research | 1,8 × 10⁻¹⁰ | <0,1 % |
| Architectural and engineering activities; technical testing and analysis | 1,8 × 10⁻¹⁰ | <0,1 % |
| Travel agency, tour operator reservation service and related activities | 1,5 × 10⁻¹⁰ | <0,1 % |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 1,4 × 10⁻¹⁰ | <0,1 % |
| Printing and reproduction of recorded media | 1,3 × 10⁻¹⁰ | <0,1 % |
| Repair of computers and personal and household goods | 1,2 × 10⁻¹⁰ | <0,1 % |
| Computer programming, consultancy, and information service activities | 1,2 × 10⁻¹⁰ | <0,1 % |
| Other professional, scientific and technical activities; veterinary activities | 1,2 × 10⁻¹⁰ | <0,1 % |
| Fishing and aquaculture | 1,2 × 10⁻¹⁰ | <0,1 % |
| Activities of membership organisations | 1,2 × 10⁻¹⁰ | <0,1 % |
| Financial service activities, except insurance and pension funding | 1,1 × 10⁻¹⁰ | <0,1 % |
| Other personal service activities | 1,1 × 10⁻¹⁰ | <0,1 % |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 9,3 × 10⁻¹¹ | <0,1 % |
| Telecommunications | 6,7 × 10⁻¹¹ | <0,1 % |
| Sports activities and amusement and recreation activities | 5,1 × 10⁻¹¹ | <0,1 % |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 4,5 × 10⁻¹¹ | <0,1 % |
| Education | 4,3 × 10⁻¹¹ | <0,1 % |
| Motion picture, video, television programme production; programming and broadcasting activities | 2,9 × 10⁻¹¹ | <0,1 % |
| Insurance, reinsurance and pension funding, except compulsory social security | 2,8 × 10⁻¹¹ | <0,1 % |
| Activities auxiliary to financial services and insurance activities | 2,5 × 10⁻¹¹ | <0,1 % |
| Publishing activities | 2,2 × 10⁻¹¹ | <0,1 % |
| Residential care activities and social work activities without accommodation | 1,9 × 10⁻¹¹ | <0,1 % |
| Scientific research and development | 1,5 × 10⁻¹¹ | <0,1 % |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 1,6 × 10⁻¹² | <0,1 % |
| Suma | 1,4 × 10⁻⁶ | = la cifra principal, 1,4 × 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 | 1,2 × 10⁻⁶ | 87 % |
| México | 4,7 × 10⁻⁸ | 3,3 % |
| Turquía | 4,4 × 10⁻⁸ | 3,1 % |
| Brasil | 2,7 × 10⁻⁸ | 1,9 % |
| Estados Unidos | 9,6 × 10⁻⁹ | 0,67 % |
| Rusia | 9,0 × 10⁻⁹ | 0,63 % |
| India | 7,9 × 10⁻⁹ | 0,55 % |
| Corea del Sur | 7,8 × 10⁻⁹ | 0,54 % |
| Italia | 5,9 × 10⁻⁹ | 0,41 % |
| Francia | 3,7 × 10⁻⁹ | 0,26 % |
| Canadá | 2,4 × 10⁻⁹ | 0,17 % |
| Japón | 2,2 × 10⁻⁹ | 0,16 % |
| Argentina | 1,9 × 10⁻⁹ | 0,13 % |
| España | 1,8 × 10⁻⁹ | 0,13 % |
| Portugal | 1,7 × 10⁻⁹ | 0,12 % |
| Indonesia | 1,4 × 10⁻⁹ | <0,1 % |
| Alemania | 1,3 × 10⁻⁹ | <0,1 % |
| Rumanía | 8,5 × 10⁻¹⁰ | <0,1 % |
| Polonia | 7,1 × 10⁻¹⁰ | <0,1 % |
| Bulgaria | 5,9 × 10⁻¹⁰ | <0,1 % |
| Australia | 5,8 × 10⁻¹⁰ | <0,1 % |
| Austria | 3,2 × 10⁻¹⁰ | <0,1 % |
| Chequia | 2,8 × 10⁻¹⁰ | <0,1 % |
| Lituania | 2,4 × 10⁻¹⁰ | <0,1 % |
| Grecia | 2,3 × 10⁻¹⁰ | <0,1 % |
| Bélgica | 2,0 × 10⁻¹⁰ | <0,1 % |
| Hungría | 1,8 × 10⁻¹⁰ | <0,1 % |
| Croacia | 1,8 × 10⁻¹⁰ | <0,1 % |
| Suiza | 1,4 × 10⁻¹⁰ | <0,1 % |
| Dinamarca | 1,3 × 10⁻¹⁰ | <0,1 % |
| Países Bajos | 1,3 × 10⁻¹⁰ | <0,1 % |
| Letonia | 1,2 × 10⁻¹⁰ | <0,1 % |
| Suecia | 1,2 × 10⁻¹⁰ | <0,1 % |
| Noruega | 1,1 × 10⁻¹⁰ | <0,1 % |
| Finlandia | 1,0 × 10⁻¹⁰ | <0,1 % |
| Eslovenia | 9,5 × 10⁻¹¹ | <0,1 % |
| Arabia Saudí | 8,9 × 10⁻¹¹ | <0,1 % |
| Eslovaquia | 8,2 × 10⁻¹¹ | <0,1 % |
| Irlanda | 8,1 × 10⁻¹¹ | <0,1 % |
| Sudáfrica | 4,3 × 10⁻¹¹ | <0,1 % |
| Estonia | 4,3 × 10⁻¹¹ | <0,1 % |
| Luxemburgo | 4,2 × 10⁻¹¹ | <0,1 % |
| China | 3,1 × 10⁻¹¹ | <0,1 % |
| Chipre | 3,1 × 10⁻¹¹ | <0,1 % |
| Reino Unido | 1,5 × 10⁻¹¹ | <0,1 % |
| Malta | 6,8 × 10⁻¹² | <0,1 % |
| Serbia | 1,2 × 10⁻¹⁴ | <0,1 % |
| Suma | 1,4 × 10⁻⁶ | = la cifra principal, 1,4 × 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
- 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/cotton-fabric/