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Cómo se construye la cifra de Paquete de cigarrillos
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 pack of 20 filter cigarettes, without the pack. 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 — 3,6 × 10⁻¹⁰ por unidad(1,4–8,8 × 10⁻¹⁰)BAJAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Vía monetaria — 3,4 × 10⁻⁶ por cada 1.000 € gastados en su industria(2,2–5,2 × 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 |
|---|---|---|---|---|
| Tabaco (sin elaborar) | 1,4 × 10⁻⁵ t | 2,6 × 10⁻⁸ | 3,6 × 10⁻¹⁰ | 100 % |
| Suma | 3,6 × 10⁻¹⁰ | = la cifra principal, 3,6 × 10⁻¹⁰ | ||
2 · Dónde se contó el daño
La misma cifra principal, según el país donde se contó el daño que llevan los materiales.
| País | Aportación | Parte |
|---|---|---|
| Yemen | 5,6 × 10⁻¹¹ | 16 % |
| Ucrania | 3,1 × 10⁻¹¹ | 8,7 % |
| Turquía | 2,8 × 10⁻¹¹ | 7,9 % |
| Brasil | 2,7 × 10⁻¹¹ | 7,6 % |
| Myanmar (Birmania) | 2,6 × 10⁻¹¹ | 7,1 % |
| Siria | 2,1 × 10⁻¹¹ | 5,9 % |
| Mozambique | 1,7 × 10⁻¹¹ | 4,7 % |
| Pakistán | 1,6 × 10⁻¹¹ | 4,6 % |
| Líbano | 1,2 × 10⁻¹¹ | 3,5 % |
| Ecuador | 1,0 × 10⁻¹¹ | 2,8 % |
| Corea del Sur | 9,5 × 10⁻¹² | 2,7 % |
| Estados Unidos | 9,3 × 10⁻¹² | 2,6 % |
| México | 8,0 × 10⁻¹² | 2,2 % |
| Tailandia | 7,0 × 10⁻¹² | 1,9 % |
| Japón | 5,9 × 10⁻¹² | 1,7 % |
| Honduras | 5,8 × 10⁻¹² | 1,6 % |
| Burkina Faso | 5,6 × 10⁻¹² | 1,6 % |
| Camerún | 5,1 × 10⁻¹² | 1,4 % |
| Mali | 4,7 × 10⁻¹² | 1,3 % |
| República Democrática del Congo | 4,6 × 10⁻¹² | 1,3 % |
| India | 4,6 × 10⁻¹² | 1,3 % |
| Italia | 4,1 × 10⁻¹² | 1,1 % |
| Filipinas | 3,4 × 10⁻¹² | 0,95 % |
| Haití | 3,2 × 10⁻¹² | 0,90 % |
| Etiopía | 3,1 × 10⁻¹² | 0,87 % |
| Nigeria | 2,9 × 10⁻¹² | 0,82 % |
| Kenia | 2,9 × 10⁻¹² | 0,81 % |
| Argentina | 2,7 × 10⁻¹² | 0,74 % |
| Uganda | 2,4 × 10⁻¹² | 0,68 % |
| Somalia | 2,3 × 10⁻¹² | 0,63 % |
| Níger | 2,2 × 10⁻¹² | 0,62 % |
| Burundi | 1,8 × 10⁻¹² | 0,49 % |
| España | 1,2 × 10⁻¹² | 0,34 % |
| Sri Lanka | 1,2 × 10⁻¹² | 0,33 % |
| Togo | 1,1 × 10⁻¹² | 0,31 % |
| Grecia | 1,0 × 10⁻¹² | 0,29 % |
| República Centroafricana | 1,0 × 10⁻¹² | 0,28 % |
| Guatemala | 7,6 × 10⁻¹³ | 0,21 % |
| Indonesia | 7,3 × 10⁻¹³ | 0,20 % |
| Canadá | 7,1 × 10⁻¹³ | 0,20 % |
| Colombia | 7,0 × 10⁻¹³ | 0,20 % |
| Bulgaria | 6,5 × 10⁻¹³ | 0,18 % |
| Polonia | 5,8 × 10⁻¹³ | 0,16 % |
| Croacia | 5,2 × 10⁻¹³ | 0,14 % |
| Francia | 4,4 × 10⁻¹³ | 0,12 % |
| Azerbaiyán | 3,4 × 10⁻¹³ | <0,1 % |
| Panamá | 3,0 × 10⁻¹³ | <0,1 % |
| Suiza | 2,1 × 10⁻¹³ | <0,1 % |
| Bangladés | 1,8 × 10⁻¹³ | <0,1 % |
| Hungría | 1,4 × 10⁻¹³ | <0,1 % |
| Georgia | 8,6 × 10⁻¹⁴ | <0,1 % |
| Irak | 8,1 × 10⁻¹⁴ | <0,1 % |
| Israel | 6,5 × 10⁻¹⁴ | <0,1 % |
| Moldavia | 5,7 × 10⁻¹⁴ | <0,1 % |
| Uzbekistán | 5,4 × 10⁻¹⁴ | <0,1 % |
| Turkmenistán | 5,0 × 10⁻¹⁴ | <0,1 % |
| Rumanía | 3,5 × 10⁻¹⁴ | <0,1 % |
| Irán | 2,7 × 10⁻¹⁴ | <0,1 % |
| Chad | 2,3 × 10⁻¹⁴ | <0,1 % |
| Ghana | 2,1 × 10⁻¹⁴ | <0,1 % |
| Túnez | 1,7 × 10⁻¹⁴ | <0,1 % |
| Armenia | 1,3 × 10⁻¹⁴ | <0,1 % |
| Venezuela | 1,1 × 10⁻¹⁴ | <0,1 % |
| China | 1,0 × 10⁻¹⁴ | <0,1 % |
| Esuatini | 7,5 × 10⁻¹⁵ | <0,1 % |
| Marruecos | 5,8 × 10⁻¹⁵ | <0,1 % |
| Sudáfrica | 3,9 × 10⁻¹⁵ | <0,1 % |
| Argelia | 1,3 × 10⁻¹⁵ | <0,1 % |
| Costa Rica | 7,3 × 10⁻¹⁶ | <0,1 % |
| Bolivia | 7,1 × 10⁻¹⁶ | <0,1 % |
| Benín | 6,4 × 10⁻¹⁶ | <0,1 % |
| Libia | 6,3 × 10⁻¹⁶ | <0,1 % |
| Perú | 2,8 × 10⁻¹⁶ | <0,1 % |
| Suma | 3,6 × 10⁻¹⁰ | = la cifra principal, 3,6 × 10⁻¹⁰ |
3 · Por qué canal de daño
La misma cifra principal, por canal de daño: conflicto, trabajo, privación, exposición.
| Canal | Aportación | Parte |
|---|---|---|
| Conflicto y violencia política | 2,9 × 10⁻¹⁰ | 80 % |
| Trabajo | 7,3 × 10⁻¹¹ | 20 % |
| Suma | 3,6 × 10⁻¹⁰ | = la cifra principal, 3,6 × 10⁻¹⁰ |
4 · Qué conflictos
Las muertes por conflicto de la cifra principal, por conflicto. El daño de cualquier otro canal es la fila que no nombra ningún conflicto.
| Conflicto | Aportación | Parte |
|---|---|---|
| Sin ubicar | 7,3 × 10⁻¹¹ | 20 % |
| Yemen (North Yemen): Government | 4,8 × 10⁻¹¹ | 13 % |
| Russia - Ukraine | 3,1 × 10⁻¹¹ | 8,6 % |
| Myanmar (Burma): Government | 1,4 × 10⁻¹¹ | 4,0 % |
| Israel: Southern Lebanon | 1,2 × 10⁻¹¹ | 3,3 % |
| Pakistan: Government | 1,2 × 10⁻¹¹ | 3,3 % |
| Mozambique: Islamic State | 1,1 × 10⁻¹¹ | 3,0 % |
| IS - Civilians | 9,0 × 10⁻¹² | 2,5 % |
| Syria: Government | 8,3 × 10⁻¹² | 2,3 % |
| Comando Vermelho - PCC | 7,9 × 10⁻¹² | 2,2 % |
| AQAP - Forces of the Presidential Leadership Council | 6,4 × 10⁻¹² | 1,8 % |
| M18 - MS-13 | 5,2 × 10⁻¹² | 1,4 % |
| Government of Myanmar (Burma) - Civilians | 4,9 × 10⁻¹² | 1,4 % |
| Syria: Islamic State | 4,8 × 10⁻¹² | 1,4 % |
| Burkina Faso: Government | 3,4 × 10⁻¹² | 0,96 % |
| Los Choneros - Los Lobos | 3,2 × 10⁻¹² | 0,91 % |
| Jalisco Cartel New Generation - Sinaloa Cartel | 3,2 × 10⁻¹² | 0,88 % |
| Bonde do Maluco - Comando Vermelho | 2,8 × 10⁻¹² | 0,79 % |
| SNA - SDF | 2,7 × 10⁻¹² | 0,76 % |
| Cartel do Norte - Comando Vermelho | 2,6 × 10⁻¹² | 0,73 % |
| Kenya: Northeastern Province and Coast | 2,6 × 10⁻¹² | 0,71 % |
| Myanmar (Burma): Kachin | 2,4 × 10⁻¹² | 0,68 % |
| Somalia: Government | 2,1 × 10⁻¹² | 0,60 % |
| Philippines: Government | 2,1 × 10⁻¹² | 0,58 % |
| JNIM - Civilians | 1,9 × 10⁻¹² | 0,54 % |
| Mali: Government | 1,9 × 10⁻¹² | 0,52 % |
| IS - Naparama | 1,8 × 10⁻¹² | 0,51 % |
| Bonde dos 40 - PCC | 1,8 × 10⁻¹² | 0,51 % |
| Iran - Israel | 1,7 × 10⁻¹² | 0,47 % |
| Ethiopia: Government/Amhara | 1,6 × 10⁻¹² | 0,46 % |
| Myanmar (Burma): Karen | 1,6 × 10⁻¹² | 0,44 % |
| Turkey: Kurdistan | 1,5 × 10⁻¹² | 0,43 % |
| Cameroon: Ambazonia | 1,5 × 10⁻¹² | 0,43 % |
| Pakistan: Balochistan | 1,5 × 10⁻¹² | 0,42 % |
| Comando Vermelho - GDE | 1,4 × 10⁻¹² | 0,39 % |
| Nova Okaida - Estados Unidos | 1,4 × 10⁻¹² | 0,38 % |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 1,4 × 10⁻¹² | 0,38 % |
| GDE, PCC - Sindicato do Crime | 1,4 × 10⁻¹² | 0,38 % |
| Fatales, Los Aguilas - Los Lobos , Los Tiguerones | 1,4 × 10⁻¹² | 0,38 % |
| India: Kashmir | 1,3 × 10⁻¹² | 0,37 % |
| IS - SDF | 1,3 × 10⁻¹² | 0,35 % |
| Myanmar (Burma): Karenni | 1,2 × 10⁻¹² | 0,35 % |
| Juarez Cartel - Sinaloa Cartel | 1,2 × 10⁻¹² | 0,34 % |
| Burundi: Government | 1,2 × 10⁻¹² | 0,34 % |
| PCC - Sindicato do Crime | 1,2 × 10⁻¹² | 0,34 % |
| Amigos Para Sempre - Família Terror Amapá | 1,2 × 10⁻¹² | 0,33 % |
| Pakistan: Islamic State | 1,2 × 10⁻¹² | 0,33 % |
| Kuki - Meitei | 1,2 × 10⁻¹² | 0,32 % |
| Niger: Islamic State | 1,1 × 10⁻¹² | 0,32 % |
| Los Chone Killers - Latin Kings | 1,1 × 10⁻¹² | 0,31 % |
| M18 - Civilians | 1,1 × 10⁻¹² | 0,31 % |
| India: Government | 1,1 × 10⁻¹² | 0,30 % |
| Nigeria: Islamic State | 1,1 × 10⁻¹² | 0,30 % |
| United Kingdom, United States of America - Yemen | 1,0 × 10⁻¹² | 0,28 % |
| Philippines: Islamic State | 1,0 × 10⁻¹² | 0,28 % |
| Los Aguilas - Los Lobos | 9,9 × 10⁻¹³ | 0,28 % |
| Comando Vermelho - Civilians | 9,9 × 10⁻¹³ | 0,28 % |
| Deir ez Zor Military Council - SDF | 9,8 × 10⁻¹³ | 0,27 % |
| JAS - Civilians | 9,6 × 10⁻¹³ | 0,27 % |
| Carteles Unidos - Jalisco Cartel New Generation | 9,2 × 10⁻¹³ | 0,26 % |
| Cameroon: Government | 9,0 × 10⁻¹³ | 0,25 % |
| Los Choneros - Los Lagartos | 9,0 × 10⁻¹³ | 0,25 % |
| Los Lobos - Los Tiguerones | 8,8 × 10⁻¹³ | 0,25 % |
| Los Lagartos - Mafia 18 | 8,8 × 10⁻¹³ | 0,25 % |
| Ambazonia insurgents - Civilians | 8,3 × 10⁻¹³ | 0,23 % |
| Government of Mozambique - Civilians | 8,0 × 10⁻¹³ | 0,22 % |
| IS - JNIM | 7,7 × 10⁻¹³ | 0,21 % |
| URDPC - Civilians | 7,3 × 10⁻¹³ | 0,20 % |
| Government of Yemen (North Yemen) - Civilians | 7,2 × 10⁻¹³ | 0,20 % |
| Bonde dos 13, PCC - Comando Vermelho | 7,2 × 10⁻¹³ | 0,20 % |
| Bonde dos 40 - Comando Vermelho | 7,2 × 10⁻¹³ | 0,20 % |
| Burkina Faso: Islamic State | 7,0 × 10⁻¹³ | 0,20 % |
| Uganda: Islamic State | 6,8 × 10⁻¹³ | 0,19 % |
| Los Aguilas - Los Lobos , Los Tiguerones | 6,8 × 10⁻¹³ | 0,19 % |
| Myanmar (Burma): Arakan | 6,7 × 10⁻¹³ | 0,19 % |
| Ethiopia: Oromiya | 6,1 × 10⁻¹³ | 0,17 % |
| Government of Haiti - Civilians | 6,0 × 10⁻¹³ | 0,17 % |
| Central African Republic: Government | 6,0 × 10⁻¹³ | 0,17 % |
| Israel: Palestine | 5,7 × 10⁻¹³ | 0,16 % |
| G9 - G-Pep | 5,4 × 10⁻¹³ | 0,15 % |
| Government of Burundi - Civilians | 5,4 × 10⁻¹³ | 0,15 % |
| Nigeria: Government | 5,3 × 10⁻¹³ | 0,15 % |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 5,3 × 10⁻¹³ | 0,15 % |
| Terre Noire - Civilians | 5,1 × 10⁻¹³ | 0,14 % |
| Comando Vermelho - Holanda | 5,1 × 10⁻¹³ | 0,14 % |
| 5 Segond, Taliban - Civilians | 5,0 × 10⁻¹³ | 0,14 % |
| CPI-Maoist - Civilians | 4,9 × 10⁻¹³ | 0,14 % |
| Lengola - Mbole | 4,8 × 10⁻¹³ | 0,13 % |
| Government of Mali - Civilians | 4,7 × 10⁻¹³ | 0,13 % |
| Grand Ravine - Civilians | 4,6 × 10⁻¹³ | 0,13 % |
| Indonesia: West Papua | 4,6 × 10⁻¹³ | 0,13 % |
| Togo: Government | 4,3 × 10⁻¹³ | 0,12 % |
| Cameroon: Islamic State | 4,2 × 10⁻¹³ | 0,12 % |
| Syria: Government/Rojava Kurdistan | 4,2 × 10⁻¹³ | 0,12 % |
| Myanmar (Burma): Kokang | 4,1 × 10⁻¹³ | 0,11 % |
| Shia (Pakistan) - Sunni (Pakistan) | 4,0 × 10⁻¹³ | 0,11 % |
| Mali: Government/Azawad | 3,9 × 10⁻¹³ | 0,11 % |
| Comando Vermelho - Massa | 3,9 × 10⁻¹³ | 0,11 % |
| Mali: Islamic State | 3,8 × 10⁻¹³ | 0,11 % |
| Nova Okaida - PCC | 3,7 × 10⁻¹³ | 0,10 % |
| Government of Burkina Faso - Civilians | 3,7 × 10⁻¹³ | 0,10 % |
| Bonde do Maluco - Katiara | 3,5 × 10⁻¹³ | <0,1 % |
| Bonde do Maluco - Civilians | 3,5 × 10⁻¹³ | <0,1 % |
| G-Pep - Civilians | 3,5 × 10⁻¹³ | <0,1 % |
| Government of Rwanda - Civilians | 3,4 × 10⁻¹³ | <0,1 % |
| DR Congo (Zaire): Government | 3,4 × 10⁻¹³ | <0,1 % |
| DR Congo (Zaire): Islamic State | 3,4 × 10⁻¹³ | <0,1 % |
| Thailand: Patani | 3,2 × 10⁻¹³ | <0,1 % |
| Al-Shabaab - Civilians | 3,1 × 10⁻¹³ | <0,1 % |
| MS-13 - Civilians | 3,0 × 10⁻¹³ | <0,1 % |
| Azerbaijan: Artsakh (Nagorno-Karabakh) | 3,0 × 10⁻¹³ | <0,1 % |
| Bonde dos 40 - Civilians | 2,8 × 10⁻¹³ | <0,1 % |
| Comando Vermelho - Terceiro Comando Puro | 2,6 × 10⁻¹³ | <0,1 % |
| IS - JAS | 2,6 × 10⁻¹³ | <0,1 % |
| Government of Ethiopia - Civilians | 2,5 × 10⁻¹³ | <0,1 % |
| AAKG - CPC | 2,4 × 10⁻¹³ | <0,1 % |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 2,3 × 10⁻¹³ | <0,1 % |
| Niger: Government | 2,2 × 10⁻¹³ | <0,1 % |
| OPM - Civilians | 2,2 × 10⁻¹³ | <0,1 % |
| Kashmir insurgents - Civilians | 2,1 × 10⁻¹³ | <0,1 % |
| M23 - VDP | 2,1 × 10⁻¹³ | <0,1 % |
| CPP - Civilians | 2,0 × 10⁻¹³ | <0,1 % |
| Mobondo - Civilians | 2,0 × 10⁻¹³ | <0,1 % |
| Government of Cameroon - Civilians | 2,0 × 10⁻¹³ | <0,1 % |
| PCC - Civilians | 2,0 × 10⁻¹³ | <0,1 % |
| Dan na Ambassagou - JNIM | 2,0 × 10⁻¹³ | <0,1 % |
| OLA - Civilians | 1,9 × 10⁻¹³ | <0,1 % |
| Israel - Syria | 1,8 × 10⁻¹³ | <0,1 % |
| Ajeita - Bonde do Maluco | 1,8 × 10⁻¹³ | <0,1 % |
| Fano - Civilians | 1,7 × 10⁻¹³ | <0,1 % |
| BRAS - Civilians | 1,7 × 10⁻¹³ | <0,1 % |
| Anuak - Nuer | 1,7 × 10⁻¹³ | <0,1 % |
| Government of Russia (Soviet Union) - Civilians | 1,6 × 10⁻¹³ | <0,1 % |
| M23 - Civilians | 1,6 × 10⁻¹³ | <0,1 % |
| SSC-Khatumo Administration - Republic of Somaliland | 1,6 × 10⁻¹³ | <0,1 % |
| Fulani - Mwaghavul | 1,5 × 10⁻¹³ | <0,1 % |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 1,5 × 10⁻¹³ | <0,1 % |
| Rwanda: Government | 1,4 × 10⁻¹³ | <0,1 % |
| ARSA - Civilians | 1,4 × 10⁻¹³ | <0,1 % |
| Fulani - Mwaghavul , Ron | 1,4 × 10⁻¹³ | <0,1 % |
| Gran Grif - Civilians | 1,3 × 10⁻¹³ | <0,1 % |
| 400 Mawozo - Civilians | 1,3 × 10⁻¹³ | <0,1 % |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 1,3 × 10⁻¹³ | <0,1 % |
| Government of Brazil - Civilians | 1,3 × 10⁻¹³ | <0,1 % |
| Government of DR Congo (Zaire) - Civilians | 1,3 × 10⁻¹³ | <0,1 % |
| Fulani - Tiv | 1,3 × 10⁻¹³ | <0,1 % |
| NUG - Civilians | 1,2 × 10⁻¹³ | <0,1 % |
| Anti-Bala - Bala na Cara | 1,2 × 10⁻¹³ | <0,1 % |
| Comités locaux de vigilance - JAS | 1,2 × 10⁻¹³ | <0,1 % |
| Farmers (Nigeria) - Herders (Nigeria) | 1,1 × 10⁻¹³ | <0,1 % |
| Bonde dos 40 - PCM | 1,1 × 10⁻¹³ | <0,1 % |
| Los Ardillos - Los Tlacos | 9,7 × 10⁻¹⁴ | <0,1 % |
| TTP - Civilians | 9,7 × 10⁻¹⁴ | <0,1 % |
| Syrian insurgents - Civilians | 9,5 × 10⁻¹⁴ | <0,1 % |
| Hindus (India) - Muslims (India) | 9,0 × 10⁻¹⁴ | <0,1 % |
| Djerma (Zherma) - Fulani | 8,5 × 10⁻¹⁴ | <0,1 % |
| EGC - Civilians | 8,5 × 10⁻¹⁴ | <0,1 % |
| Nigeria: Biafra | 7,9 × 10⁻¹⁴ | <0,1 % |
| Government of India - Civilians | 7,9 × 10⁻¹⁴ | <0,1 % |
| Los Lobos - R7 | 7,5 × 10⁻¹⁴ | <0,1 % |
| SDF - Civilians | 7,4 × 10⁻¹⁴ | <0,1 % |
| Central African Republic: Logone | 7,3 × 10⁻¹⁴ | <0,1 % |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 7,1 × 10⁻¹⁴ | <0,1 % |
| Government of Pakistan - Civilians | 6,9 × 10⁻¹⁴ | <0,1 % |
| URDPC - Zaire self-defense group | 6,7 × 10⁻¹⁴ | <0,1 % |
| CPC - Civilians | 6,6 × 10⁻¹⁴ | <0,1 % |
| Birom - Fulani | 5,9 × 10⁻¹⁴ | <0,1 % |
| Zaire self-defense group - Civilians | 5,9 × 10⁻¹⁴ | <0,1 % |
| VDP - Civilians | 5,6 × 10⁻¹⁴ | <0,1 % |
| Government of Indonesia - Civilians | 5,5 × 10⁻¹⁴ | <0,1 % |
| Dozos (Mali) - JNIM | 5,3 × 10⁻¹⁴ | <0,1 % |
| Atyap - Fulani | 5,1 × 10⁻¹⁴ | <0,1 % |
| Karimjo - Wurukum | 4,8 × 10⁻¹⁴ | <0,1 % |
| Colombia: Government | 4,8 × 10⁻¹⁴ | <0,1 % |
| Black Axe - Eyie | 4,5 × 10⁻¹⁴ | <0,1 % |
| India: Western South East Asia | 4,5 × 10⁻¹⁴ | <0,1 % |
| FARC-EMC - Civilians | 4,5 × 10⁻¹⁴ | <0,1 % |
| Amhara - Oromo | 4,4 × 10⁻¹⁴ | <0,1 % |
| FPIC Chambre noire sanduku - URDPC | 4,3 × 10⁻¹⁴ | <0,1 % |
| FPIC Chambre noire sanduku - Civilians | 4,2 × 10⁻¹⁴ | <0,1 % |
| Forces of Terwase Akwanza - Civilians | 4,0 × 10⁻¹⁴ | <0,1 % |
| Fulani - Idoma | 3,7 × 10⁻¹⁴ | <0,1 % |
| Fulani - Kuteb | 3,5 × 10⁻¹⁴ | <0,1 % |
| DZ Mafia - Yoda | 3,1 × 10⁻¹⁴ | <0,1 % |
| AFC - Civilians | 3,1 × 10⁻¹⁴ | <0,1 % |
| Dozos (Mali) - Civilians | 3,0 × 10⁻¹⁴ | <0,1 % |
| Supporters of Awami League - Supporters of BNP | 3,0 × 10⁻¹⁴ | <0,1 % |
| FARC-EMC - ELN | 2,9 × 10⁻¹⁴ | <0,1 % |
| AFP-Gutabara - CNPSC, FABB | 2,9 × 10⁻¹⁴ | <0,1 % |
| PKK - Civilians | 2,8 × 10⁻¹⁴ | <0,1 % |
| Afghanistan - Pakistan | 2,8 × 10⁻¹⁴ | <0,1 % |
| Philippines: Mindanao | 2,5 × 10⁻¹⁴ | <0,1 % |
| Government of Philippines - Civilians | 2,5 × 10⁻¹⁴ | <0,1 % |
| Government of Nigeria - Civilians | 2,5 × 10⁻¹⁴ | <0,1 % |
| Iraq: Government | 2,3 × 10⁻¹⁴ | <0,1 % |
| Iran: Government | 2,3 × 10⁻¹⁴ | <0,1 % |
| VHP - Civilians | 2,3 × 10⁻¹⁴ | <0,1 % |
| Government of Central African Republic - Civilians | 2,1 × 10⁻¹⁴ | <0,1 % |
| Kusasi - Mamprusi | 2,1 × 10⁻¹⁴ | <0,1 % |
| Chain Guys - Full Force | 2,1 × 10⁻¹⁴ | <0,1 % |
| Los Rusos, UPOEG - Los Tlacos | 2,0 × 10⁻¹⁴ | <0,1 % |
| Guraghe - Mareqo | 2,0 × 10⁻¹⁴ | <0,1 % |
| ELN - Civilians | 1,9 × 10⁻¹⁴ | <0,1 % |
| FARC - Segunda Marquetalia - Civilians | 1,9 × 10⁻¹⁴ | <0,1 % |
| Dan na Ambassagou - Civilians | 1,8 × 10⁻¹⁴ | <0,1 % |
| Jalisco Cartel New Generation - Civilians | 1,8 × 10⁻¹⁴ | <0,1 % |
| Jalisco Cartel New Generation - Pájaros Sierra | 1,7 × 10⁻¹⁴ | <0,1 % |
| Tunisia: Government | 1,7 × 10⁻¹⁴ | <0,1 % |
| Myanmar (Burma): Shan | 1,7 × 10⁻¹⁴ | <0,1 % |
| Los Costenos - Los Pepes | 1,5 × 10⁻¹⁴ | <0,1 % |
| Supporters of Awami League - Supporters of Jamaat-e-Islami | 1,5 × 10⁻¹⁴ | <0,1 % |
| EGC - ELN, FARC-EMC | 1,5 × 10⁻¹⁴ | <0,1 % |
| Government of Mexico - Civilians | 1,4 × 10⁻¹⁴ | <0,1 % |
| Kokorat sans ras - Civilians | 1,4 × 10⁻¹⁴ | <0,1 % |
| EGC - ELN | 1,4 × 10⁻¹⁴ | <0,1 % |
| RED-TABARA - Civilians | 1,4 × 10⁻¹⁴ | <0,1 % |
| LeJ - Civilians | 1,4 × 10⁻¹⁴ | <0,1 % |
| GATIA - IS | 1,4 × 10⁻¹⁴ | <0,1 % |
| Murle - Nuer | 1,3 × 10⁻¹⁴ | <0,1 % |
| Chad: Government | 1,2 × 10⁻¹⁴ | <0,1 % |
| Los Ardillos - Los Rojos | 1,2 × 10⁻¹⁴ | <0,1 % |
| Hausa - Fulani | 1,2 × 10⁻¹⁴ | <0,1 % |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 1,2 × 10⁻¹⁴ | <0,1 % |
| India - Pakistan | 1,1 × 10⁻¹⁴ | <0,1 % |
| India: Nagaland | 1,1 × 10⁻¹⁴ | <0,1 % |
| NSCN-IM - Civilians | 1,1 × 10⁻¹⁴ | <0,1 % |
| PLFI - Civilians | 1,1 × 10⁻¹⁴ | <0,1 % |
| Amigos dos Amigos - Comando Vermelho | 1,1 × 10⁻¹⁴ | <0,1 % |
| FDN - PCC | 1,1 × 10⁻¹⁴ | <0,1 % |
| Sa'ad subclan of Habar Gidir clan (Hawiye) - Leelkase subclan (Darod) | 1,1 × 10⁻¹⁴ | <0,1 % |
| Patani insurgents - Civilians | 1,1 × 10⁻¹⁴ | <0,1 % |
| AFP-Gutabara - FABB | 1,1 × 10⁻¹⁴ | <0,1 % |
| IS - HTS | 1,1 × 10⁻¹⁴ | <0,1 % |
| Farmers (Chad) - Herders (Chad) | 9,1 × 10⁻¹⁵ | <0,1 % |
| FRPI - Civilians | 8,7 × 10⁻¹⁵ | <0,1 % |
| Government of Venezuela - Civilians | 8,6 × 10⁻¹⁵ | <0,1 % |
| Fulani - Irigwe | 8,2 × 10⁻¹⁵ | <0,1 % |
| Somalia: Islamic State | 8,0 × 10⁻¹⁵ | <0,1 % |
| Choa Arab - Kotoko | 8,0 × 10⁻¹⁵ | <0,1 % |
| Choa Arab - Musgum | 8,0 × 10⁻¹⁵ | <0,1 % |
| Government of eSwatini (Swaziland) - Civilians | 7,5 × 10⁻¹⁵ | <0,1 % |
| IS - MSA | 6,9 × 10⁻¹⁵ | <0,1 % |
| Fulani - Igala | 6,8 × 10⁻¹⁵ | <0,1 % |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 6,2 × 10⁻¹⁵ | <0,1 % |
| Greenlanders - NDV | 6,2 × 10⁻¹⁵ | <0,1 % |
| Black Axe - Maphite | 6,2 × 10⁻¹⁵ | <0,1 % |
| Morocco: Sahrawi Arab Democratic Republic (Western Sahara) | 5,8 × 10⁻¹⁵ | <0,1 % |
| Basonge - Bena Nkoma (Bakwa Luntu, Luba) | 5,8 × 10⁻¹⁵ | <0,1 % |
| Government of Colombia - Civilians | 5,1 × 10⁻¹⁵ | <0,1 % |
| FDLR-FOCA - Civilians | 4,8 × 10⁻¹⁵ | <0,1 % |
| FPIC Chambre noire sanduku - FRPI | 4,8 × 10⁻¹⁵ | <0,1 % |
| Farmers (CAR) - Herders (CAR) | 4,7 × 10⁻¹⁵ | <0,1 % |
| AAKG - Civilians | 4,7 × 10⁻¹⁵ | <0,1 % |
| Supporters of APC - Supporters of PDP | 4,1 × 10⁻¹⁵ | <0,1 % |
| Gulf Cartel - Sinaloa Cartel | 4,1 × 10⁻¹⁵ | <0,1 % |
| Gulf Cartel - Jalisco Cartel New Generation | 4,1 × 10⁻¹⁵ | <0,1 % |
| Amhara - Gumuz | 3,9 × 10⁻¹⁵ | <0,1 % |
| Mayi Mayi Chini ya Tuna - Civilians | 3,9 × 10⁻¹⁵ | <0,1 % |
| Black Axe - SVC | 3,4 × 10⁻¹⁵ | <0,1 % |
| IPOB - Civilians | 3,4 × 10⁻¹⁵ | <0,1 % |
| South Sudan: Government | 2,9 × 10⁻¹⁵ | <0,1 % |
| Luba - Batwa | 2,9 × 10⁻¹⁵ | <0,1 % |
| Agatu - Fulani | 2,7 × 10⁻¹⁵ | <0,1 % |
| IS - Yan Gora | 2,7 × 10⁻¹⁵ | <0,1 % |
| Deebam - NDV | 2,7 × 10⁻¹⁵ | <0,1 % |
| Iran: Islamic State | 2,5 × 10⁻¹⁵ | <0,1 % |
| CATA - Codeta | 2,4 × 10⁻¹⁵ | <0,1 % |
| Comandos de la Frontera - Civilians | 2,3 × 10⁻¹⁵ | <0,1 % |
| Government of Somalia - Civilians | 2,1 × 10⁻¹⁵ | <0,1 % |
| Government of Iran - Civilians | 1,9 × 10⁻¹⁵ | <0,1 % |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 1,7 × 10⁻¹⁵ | <0,1 % |
| Government of South Africa - Civilians | 1,6 × 10⁻¹⁵ | <0,1 % |
| Hamas - Civilians | 1,6 × 10⁻¹⁵ | <0,1 % |
| Jukun - Tiv | 1,4 × 10⁻¹⁵ | <0,1 % |
| Algeria: Government | 1,3 × 10⁻¹⁵ | <0,1 % |
| Los Costenos - Civilians | 1,1 × 10⁻¹⁵ | <0,1 % |
| Al-Shabaab - IS | 1,1 × 10⁻¹⁵ | <0,1 % |
| DR Congo (Zaire): Katanga | 9,7 × 10⁻¹⁶ | <0,1 % |
| Government of Uganda - Civilians | 9,7 × 10⁻¹⁶ | <0,1 % |
| Twiganeho - Civilians | 9,7 × 10⁻¹⁶ | <0,1 % |
| AFC - VDP | 9,7 × 10⁻¹⁶ | <0,1 % |
| Forces of Tony Peña - Los Hondureños | 7,3 × 10⁻¹⁶ | <0,1 % |
| Guerreros Unidos - Los Tlacos | 6,8 × 10⁻¹⁶ | <0,1 % |
| Libya: Government | 6,3 × 10⁻¹⁶ | <0,1 % |
| Benin: Government | 3,9 × 10⁻¹⁶ | <0,1 % |
| Peru: Government | 2,8 × 10⁻¹⁶ | <0,1 % |
| Government of Israel - Civilians | 1,1 × 10⁻¹⁶ | <0,1 % |
| Suma | 3,6 × 10⁻¹⁰ | = la cifra principal, 3,6 × 10⁻¹⁰ |
5 · La vía monetaria: qué industrias
La cifra por cada 1.000 €, según la industria donde se produjo el daño en cualquier punto de la cadena de suministro.
| Industria | Aportación | Parte |
|---|---|---|
| Crop and animal production, hunting and related service activities | 2,3 × 10⁻⁶ | 69 % |
| Mining and quarrying | 7,0 × 10⁻⁷ | 21 % |
| Land transport and transport via pipelines | 7,0 × 10⁻⁸ | 2,0 % |
| Manufacture of food products; beverages and tobacco products | 6,0 × 10⁻⁸ | 1,8 % |
| Water transport | 3,3 × 10⁻⁸ | 0,98 % |
| Forestry and logging | 3,3 × 10⁻⁸ | 0,98 % |
| Manufacture of basic metals | 3,3 × 10⁻⁸ | 0,96 % |
| Warehousing and support activities for transportation | 2,8 × 10⁻⁸ | 0,82 % |
| Wholesale trade, except of motor vehicles and motorcycles | 1,8 × 10⁻⁸ | 0,53 % |
| Air transport | 1,3 × 10⁻⁸ | 0,39 % |
| Retail trade, except of motor vehicles and motorcycles | 7,8 × 10⁻⁹ | 0,23 % |
| Postal and courier activities | 5,1 × 10⁻⁹ | 0,15 % |
| Manufacture of fabricated metal products, except machinery and equipment | 4,8 × 10⁻⁹ | 0,14 % |
| Water collection, treatment and supply | 4,3 × 10⁻⁹ | 0,13 % |
| Construction | 3,6 × 10⁻⁹ | 0,11 % |
| Fishing and aquaculture | 3,1 × 10⁻⁹ | <0,1 % |
| Manufacture of other transport equipment | 3,0 × 10⁻⁹ | <0,1 % |
| Manufacture of coke and refined petroleum products | 2,5 × 10⁻⁹ | <0,1 % |
| Security and investigation, service and landscape, office administrative and support activities | 2,5 × 10⁻⁹ | <0,1 % |
| Manufacture of chemicals and chemical products | 2,2 × 10⁻⁹ | <0,1 % |
| Electricity, gas, steam and air conditioning supply | 2,0 × 10⁻⁹ | <0,1 % |
| Rental and leasing activities | 1,7 × 10⁻⁹ | <0,1 % |
| Employment activities | 1,5 × 10⁻⁹ | <0,1 % |
| Public administration and defence; compulsory social security | 1,5 × 10⁻⁹ | <0,1 % |
| Manufacture of rubber and plastic products | 1,4 × 10⁻⁹ | <0,1 % |
| Manufacture of paper and paper products | 1,3 × 10⁻⁹ | <0,1 % |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 1,2 × 10⁻⁹ | <0,1 % |
| Sewerage, waste management, remediation activities | 1,2 × 10⁻⁹ | <0,1 % |
| Legal and accounting activities; activities of head offices; management consultancy activities | 8,5 × 10⁻¹⁰ | <0,1 % |
| Accommodation and food service activities | 5,5 × 10⁻¹⁰ | <0,1 % |
| Manufacture of other non-metallic mineral products | 5,4 × 10⁻¹⁰ | <0,1 % |
| Manufacture of machinery and equipment n.e.c. | 5,1 × 10⁻¹⁰ | <0,1 % |
| Repair and installation of machinery and equipment | 3,9 × 10⁻¹⁰ | <0,1 % |
| Manufacture of motor vehicles, trailers and semi-trailers | 3,6 × 10⁻¹⁰ | <0,1 % |
| Human health activities | 3,4 × 10⁻¹⁰ | <0,1 % |
| Advertising and market research | 3,3 × 10⁻¹⁰ | <0,1 % |
| Manufacture of textiles, wearing apparel, leather and related products | 3,1 × 10⁻¹⁰ | <0,1 % |
| Manufacture of computer, electronic and optical products | 3,1 × 10⁻¹⁰ | <0,1 % |
| Real estate activities | 2,9 × 10⁻¹⁰ | <0,1 % |
| Manufacture of electrical equipment | 2,9 × 10⁻¹⁰ | <0,1 % |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 2,5 × 10⁻¹⁰ | <0,1 % |
| Travel agency, tour operator reservation service and related activities | 2,3 × 10⁻¹⁰ | <0,1 % |
| Architectural and engineering activities; technical testing and analysis | 2,3 × 10⁻¹⁰ | <0,1 % |
| Computer programming, consultancy, and information service activities | 2,1 × 10⁻¹⁰ | <0,1 % |
| Repair of computers and personal and household goods | 2,0 × 10⁻¹⁰ | <0,1 % |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 1,8 × 10⁻¹⁰ | <0,1 % |
| Other professional, scientific and technical activities; veterinary activities | 1,7 × 10⁻¹⁰ | <0,1 % |
| Printing and reproduction of recorded media | 1,7 × 10⁻¹⁰ | <0,1 % |
| Activities of membership organisations | 1,6 × 10⁻¹⁰ | <0,1 % |
| Financial service activities, except insurance and pension funding | 1,4 × 10⁻¹⁰ | <0,1 % |
| Other personal service activities | 1,3 × 10⁻¹⁰ | <0,1 % |
| Telecommunications | 1,0 × 10⁻¹⁰ | <0,1 % |
| Manufacture of furniture; other manufacturing | 1,0 × 10⁻¹⁰ | <0,1 % |
| Sports activities and amusement and recreation activities | 1,0 × 10⁻¹⁰ | <0,1 % |
| Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities | 8,3 × 10⁻¹¹ | <0,1 % |
| Education | 6,2 × 10⁻¹¹ | <0,1 % |
| Motion picture, video, television programme production; programming and broadcasting activities | 6,2 × 10⁻¹¹ | <0,1 % |
| Insurance, reinsurance and pension funding, except compulsory social security | 4,7 × 10⁻¹¹ | <0,1 % |
| Publishing activities | 4,6 × 10⁻¹¹ | <0,1 % |
| Activities auxiliary to financial services and insurance activities | 4,5 × 10⁻¹¹ | <0,1 % |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 2,5 × 10⁻¹¹ | <0,1 % |
| Residential care activities and social work activities without accommodation | 2,4 × 10⁻¹¹ | <0,1 % |
| Scientific research and development | 1,8 × 10⁻¹¹ | <0,1 % |
| Suma | 3,4 × 10⁻⁶ | = la cifra principal, 3,4 × 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 | 2,6 × 10⁻⁶ | 77 % |
| México | 3,9 × 10⁻⁷ | 12 % |
| Brasil | 1,5 × 10⁻⁷ | 4,3 % |
| Estados Unidos | 6,8 × 10⁻⁸ | 2,0 % |
| Rusia | 2,9 × 10⁻⁸ | 0,85 % |
| Turquía | 2,6 × 10⁻⁸ | 0,77 % |
| Francia | 1,6 × 10⁻⁸ | 0,47 % |
| India | 1,2 × 10⁻⁸ | 0,35 % |
| Canadá | 1,2 × 10⁻⁸ | 0,34 % |
| Corea del Sur | 1,1 × 10⁻⁸ | 0,31 % |
| Alemania | 9,7 × 10⁻⁹ | 0,28 % |
| España | 9,3 × 10⁻⁹ | 0,27 % |
| Italia | 9,0 × 10⁻⁹ | 0,26 % |
| Japón | 8,9 × 10⁻⁹ | 0,26 % |
| Argentina | 8,6 × 10⁻⁹ | 0,25 % |
| Austria | 5,5 × 10⁻⁹ | 0,16 % |
| Australia | 3,4 × 10⁻⁹ | <0,1 % |
| Polonia | 3,3 × 10⁻⁹ | <0,1 % |
| Rumanía | 2,9 × 10⁻⁹ | <0,1 % |
| Indonesia | 2,4 × 10⁻⁹ | <0,1 % |
| Portugal | 2,4 × 10⁻⁹ | <0,1 % |
| Irlanda | 2,1 × 10⁻⁹ | <0,1 % |
| Dinamarca | 1,4 × 10⁻⁹ | <0,1 % |
| Bulgaria | 1,4 × 10⁻⁹ | <0,1 % |
| Noruega | 1,2 × 10⁻⁹ | <0,1 % |
| Hungría | 1,2 × 10⁻⁹ | <0,1 % |
| Bélgica | 9,1 × 10⁻¹⁰ | <0,1 % |
| Suiza | 9,1 × 10⁻¹⁰ | <0,1 % |
| Lituania | 8,9 × 10⁻¹⁰ | <0,1 % |
| Chequia | 8,9 × 10⁻¹⁰ | <0,1 % |
| Finlandia | 7,7 × 10⁻¹⁰ | <0,1 % |
| Grecia | 7,6 × 10⁻¹⁰ | <0,1 % |
| Países Bajos | 6,1 × 10⁻¹⁰ | <0,1 % |
| Suecia | 6,0 × 10⁻¹⁰ | <0,1 % |
| Croacia | 5,8 × 10⁻¹⁰ | <0,1 % |
| Letonia | 3,8 × 10⁻¹⁰ | <0,1 % |
| Chipre | 3,5 × 10⁻¹⁰ | <0,1 % |
| Eslovaquia | 3,5 × 10⁻¹⁰ | <0,1 % |
| Luxemburgo | 2,3 × 10⁻¹⁰ | <0,1 % |
| Eslovenia | 1,9 × 10⁻¹⁰ | <0,1 % |
| Sudáfrica | 1,2 × 10⁻¹⁰ | <0,1 % |
| Estonia | 8,3 × 10⁻¹¹ | <0,1 % |
| Arabia Saudí | 6,8 × 10⁻¹¹ | <0,1 % |
| Reino Unido | 4,7 × 10⁻¹¹ | <0,1 % |
| Malta | 4,3 × 10⁻¹¹ | <0,1 % |
| China | 3,8 × 10⁻¹¹ | <0,1 % |
| Serbia | 2,5 × 10⁻¹⁴ | <0,1 % |
| Suma | 3,4 × 10⁻⁶ | = la cifra principal, 3,4 × 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).
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- 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.
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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 — 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/cigarette-pack/