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Cómo se construye la cifra de Polvo catódico NMC
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 NMC532 cathode active material. 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 — 1,4 × 10⁻⁷ por unidad(0,71–3,2 × 10⁻⁷)BAJAS-MAX · ejecución 2259 · metodología v1.0 · datos dv-20261007-44r
Vía monetaria — 3,2 × 10⁻⁶ por cada 1.000 € gastados en su industria(2,1–4,8 × 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 |
|---|---|---|---|---|
| Cobalto | 1,3 × 10⁻⁴ t | 8,9 × 10⁻⁷ | 1,1 × 10⁻⁷ | 81 % |
| Litio | 7,2 × 10⁻⁵ t | 1,8 × 10⁻⁷ | 1,3 × 10⁻⁸ | 9,3 % |
| Níquel | 3,1 × 10⁻⁴ t | 3,8 × 10⁻⁸ | 1,2 × 10⁻⁸ | 8,5 % |
| Manganeso | 1,7 × 10⁻⁴ t | 6,6 × 10⁻⁹ | 1,1 × 10⁻⁹ | 0,81 % |
| Suma | 1,4 × 10⁻⁷ | = la cifra principal, 1,4 × 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 |
|---|---|---|
| República Democrática del Congo | 1,1 × 10⁻⁷ | 81 % |
| Filipinas | 6,1 × 10⁻⁹ | 4,4 % |
| Mali | 3,7 × 10⁻⁹ | 2,7 % |
| Australia | 3,5 × 10⁻⁹ | 2,5 % |
| Brasil | 3,1 × 10⁻⁹ | 2,2 % |
| Colombia | 1,9 × 10⁻⁹ | 1,4 % |
| Argentina | 1,7 × 10⁻⁹ | 1,3 % |
| Canadá | 1,6 × 10⁻⁹ | 1,2 % |
| Indonesia | 1,1 × 10⁻⁹ | 0,82 % |
| Portugal | 1,0 × 10⁻⁹ | 0,73 % |
| Ucrania | 9,3 × 10⁻¹⁰ | 0,67 % |
| Rusia | 6,8 × 10⁻¹⁰ | 0,49 % |
| Turquía | 4,4 × 10⁻¹⁰ | 0,32 % |
| Estados Unidos | 3,0 × 10⁻¹⁰ | 0,22 % |
| Guatemala | 1,4 × 10⁻¹⁰ | 0,10 % |
| Papúa Nueva Guinea | 9,6 × 10⁻¹¹ | <0,1 % |
| México | 6,6 × 10⁻¹¹ | <0,1 % |
| Myanmar (Birmania) | 6,6 × 10⁻¹¹ | <0,1 % |
| Finlandia | 5,2 × 10⁻¹¹ | <0,1 % |
| Georgia | 3,3 × 10⁻¹¹ | <0,1 % |
| Marruecos | 1,1 × 10⁻¹¹ | <0,1 % |
| Sudáfrica | 8,8 × 10⁻¹² | <0,1 % |
| Ghana | 2,2 × 10⁻¹² | <0,1 % |
| India | 1,6 × 10⁻¹² | <0,1 % |
| China | 1,4 × 10⁻¹² | <0,1 % |
| Suma | 1,4 × 10⁻⁷ | = la cifra principal, 1,4 × 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 | 1,3 × 10⁻⁷ | 93 % |
| Trabajo | 1,0 × 10⁻⁸ | 7,4 % |
| Suma | 1,4 × 10⁻⁷ | = la cifra principal, 1,4 × 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 |
|---|---|---|
| IS - Civilians | 3,1 × 10⁻⁸ | 22 % |
| URDPC - Civilians | 2,0 × 10⁻⁸ | 14 % |
| Lengola - Mbole | 1,3 × 10⁻⁸ | 9,4 % |
| Sin ubicar | 1,0 × 10⁻⁸ | 7,4 % |
| DR Congo (Zaire): Islamic State | 9,0 × 10⁻⁹ | 6,5 % |
| M23 - VDP | 5,6 × 10⁻⁹ | 4,0 % |
| Mobondo - Civilians | 5,4 × 10⁻⁹ | 3,9 % |
| DR Congo (Zaire): Government | 4,4 × 10⁻⁹ | 3,2 % |
| M23 - Civilians | 4,3 × 10⁻⁹ | 3,1 % |
| Rwanda: Government | 3,8 × 10⁻⁹ | 2,8 % |
| Philippines: Government | 3,7 × 10⁻⁹ | 2,7 % |
| Government of DR Congo (Zaire) - Civilians | 3,5 × 10⁻⁹ | 2,5 % |
| Government of Rwanda - Civilians | 2,1 × 10⁻⁹ | 1,5 % |
| Philippines: Islamic State | 1,8 × 10⁻⁹ | 1,3 % |
| URDPC - Zaire self-defense group | 1,8 × 10⁻⁹ | 1,3 % |
| Zaire self-defense group - Civilians | 1,6 × 10⁻⁹ | 1,1 % |
| VDP - Civilians | 1,5 × 10⁻⁹ | 1,1 % |
| FPIC Chambre noire sanduku - URDPC | 1,2 × 10⁻⁹ | 0,84 % |
| FPIC Chambre noire sanduku - Civilians | 1,1 × 10⁻⁹ | 0,82 % |
| Mali: Government | 9,8 × 10⁻¹⁰ | 0,71 % |
| Russia - Ukraine | 9,5 × 10⁻¹⁰ | 0,69 % |
| Comando Vermelho - PCC | 8,9 × 10⁻¹⁰ | 0,65 % |
| AFC - Civilians | 8,3 × 10⁻¹⁰ | 0,60 % |
| AFP-Gutabara - CNPSC, FABB | 7,8 × 10⁻¹⁰ | 0,56 % |
| Indonesia: West Papua | 7,1 × 10⁻¹⁰ | 0,52 % |
| IS - JNIM | 6,3 × 10⁻¹⁰ | 0,46 % |
| Government of Mali - Civilians | 5,0 × 10⁻¹⁰ | 0,36 % |
| Mali: Government/Azawad | 4,1 × 10⁻¹⁰ | 0,30 % |
| Colombia: Government | 3,8 × 10⁻¹⁰ | 0,28 % |
| JNIM - Civilians | 3,7 × 10⁻¹⁰ | 0,27 % |
| CPP - Civilians | 3,6 × 10⁻¹⁰ | 0,26 % |
| OPM - Civilians | 3,4 × 10⁻¹⁰ | 0,25 % |
| Bonde do Maluco - Comando Vermelho | 3,2 × 10⁻¹⁰ | 0,23 % |
| Cartel do Norte - Comando Vermelho | 2,9 × 10⁻¹⁰ | 0,21 % |
| AFP-Gutabara - FABB | 2,8 × 10⁻¹⁰ | 0,21 % |
| FRPI - Civilians | 2,3 × 10⁻¹⁰ | 0,17 % |
| Bonde dos 40 - PCC | 2,1 × 10⁻¹⁰ | 0,15 % |
| Dan na Ambassagou - JNIM | 2,1 × 10⁻¹⁰ | 0,15 % |
| Mali: Islamic State | 2,0 × 10⁻¹⁰ | 0,15 % |
| Burundi: Government | 1,8 × 10⁻¹⁰ | 0,13 % |
| EGC - Civilians | 1,8 × 10⁻¹⁰ | 0,13 % |
| Comando Vermelho - GDE | 1,6 × 10⁻¹⁰ | 0,11 % |
| Nova Okaida - Estados Unidos | 1,6 × 10⁻¹⁰ | 0,11 % |
| Basonge - Bena Nkoma (Bakwa Luntu, Luba) | 1,6 × 10⁻¹⁰ | 0,11 % |
| GDE, PCC - Sindicato do Crime | 1,5 × 10⁻¹⁰ | 0,11 % |
| PCC - Sindicato do Crime | 1,4 × 10⁻¹⁰ | <0,1 % |
| Amigos Para Sempre - Família Terror Amapá | 1,3 × 10⁻¹⁰ | <0,1 % |
| FDLR-FOCA - Civilians | 1,3 × 10⁻¹⁰ | <0,1 % |
| FPIC Chambre noire sanduku - FRPI | 1,3 × 10⁻¹⁰ | <0,1 % |
| Comando Vermelho - Civilians | 1,1 × 10⁻¹⁰ | <0,1 % |
| Mayi Mayi Chini ya Tuna - Civilians | 1,0 × 10⁻¹⁰ | <0,1 % |
| Ambulin, Lungupin, Nenei, Sau, Sau Walep, Yandamau, Yopo - Kaekin, Lanzerakin, Lyona, Mupapalu, Murap, Palinau, Sakaikin, Sikin, Wapukin | 9,5 × 10⁻¹¹ | <0,1 % |
| FARC-EMC - Civilians | 9,4 × 10⁻¹¹ | <0,1 % |
| M18 - MS-13 | 8,7 × 10⁻¹¹ | <0,1 % |
| Government of Indonesia - Civilians | 8,5 × 10⁻¹¹ | <0,1 % |
| Bonde dos 13, PCC - Comando Vermelho | 8,1 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - Comando Vermelho | 8,1 × 10⁻¹¹ | <0,1 % |
| South Sudan: Government | 7,8 × 10⁻¹¹ | <0,1 % |
| Luba - Batwa | 7,8 × 10⁻¹¹ | <0,1 % |
| FARC-EMC - ELN | 6,0 × 10⁻¹¹ | <0,1 % |
| Russia (Soviet Union): Government | 5,8 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Holanda | 5,7 × 10⁻¹¹ | <0,1 % |
| Dozos (Mali) - JNIM | 5,6 × 10⁻¹¹ | <0,1 % |
| Philippines: Mindanao | 4,5 × 10⁻¹¹ | <0,1 % |
| Government of Philippines - Civilians | 4,5 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Massa | 4,4 × 10⁻¹¹ | <0,1 % |
| Nova Okaida - PCC | 4,2 × 10⁻¹¹ | <0,1 % |
| FARC - Segunda Marquetalia - Civilians | 4,0 × 10⁻¹¹ | <0,1 % |
| Bonde do Maluco - Katiara | 4,0 × 10⁻¹¹ | <0,1 % |
| Bonde do Maluco - Civilians | 4,0 × 10⁻¹¹ | <0,1 % |
| ELN - Civilians | 3,8 × 10⁻¹¹ | <0,1 % |
| Myanmar (Burma): Government | 3,7 × 10⁻¹¹ | <0,1 % |
| Jalisco Cartel New Generation - Sinaloa Cartel | 3,2 × 10⁻¹¹ | <0,1 % |
| Los Costenos - Los Pepes | 3,2 × 10⁻¹¹ | <0,1 % |
| Dozos (Mali) - Civilians | 3,2 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - Civilians | 3,1 × 10⁻¹¹ | <0,1 % |
| MS-13 - Civilians | 3,1 × 10⁻¹¹ | <0,1 % |
| EGC - ELN, FARC-EMC | 3,1 × 10⁻¹¹ | <0,1 % |
| Comando Vermelho - Terceiro Comando Puro | 3,0 × 10⁻¹¹ | <0,1 % |
| EGC - ELN | 3,0 × 10⁻¹¹ | <0,1 % |
| DR Congo (Zaire): Katanga | 2,6 × 10⁻¹¹ | <0,1 % |
| Government of Uganda - Civilians | 2,6 × 10⁻¹¹ | <0,1 % |
| Government of Burundi - Civilians | 2,6 × 10⁻¹¹ | <0,1 % |
| Twiganeho - Civilians | 2,6 × 10⁻¹¹ | <0,1 % |
| AFC - VDP | 2,6 × 10⁻¹¹ | <0,1 % |
| M18 - Civilians | 2,5 × 10⁻¹¹ | <0,1 % |
| PCC - Civilians | 2,2 × 10⁻¹¹ | <0,1 % |
| Turkey: Kurdistan | 2,1 × 10⁻¹¹ | <0,1 % |
| Ajeita - Bonde do Maluco | 2,0 × 10⁻¹¹ | <0,1 % |
| Dan na Ambassagou - Civilians | 2,0 × 10⁻¹¹ | <0,1 % |
| Government of Brazil - Civilians | 1,5 × 10⁻¹¹ | <0,1 % |
| GATIA - IS | 1,5 × 10⁻¹¹ | <0,1 % |
| Anti-Bala - Bala na Cara | 1,4 × 10⁻¹¹ | <0,1 % |
| EGC - Autodefensas Conquistadoras de la Sierra Nevada | 1,3 × 10⁻¹¹ | <0,1 % |
| Government of Myanmar (Burma) - Civilians | 1,3 × 10⁻¹¹ | <0,1 % |
| Bonde dos 40 - PCM | 1,2 × 10⁻¹¹ | <0,1 % |
| Morocco: Sahrawi Arab Democratic Republic (Western Sahara) | 1,1 × 10⁻¹¹ | <0,1 % |
| Government of Colombia - Civilians | 1,1 × 10⁻¹¹ | <0,1 % |
| Jalisco Cartel New Generation - Santa Rosa de Lima Cartel | 9,6 × 10⁻¹² | <0,1 % |
| Juarez Cartel - Sinaloa Cartel | 8,7 × 10⁻¹² | <0,1 % |
| Government of Russia (Soviet Union) - Civilians | 8,5 × 10⁻¹² | <0,1 % |
| Myanmar (Burma): Kachin | 7,7 × 10⁻¹² | <0,1 % |
| IS - MSA | 7,3 × 10⁻¹² | <0,1 % |
| Carteles Unidos - Jalisco Cartel New Generation | 6,5 × 10⁻¹² | <0,1 % |
| CATA - Codeta | 5,3 × 10⁻¹² | <0,1 % |
| Comandos de la Frontera - Civilians | 4,7 × 10⁻¹² | <0,1 % |
| Myanmar (Burma): Karen | 4,1 × 10⁻¹² | <0,1 % |
| Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos | 3,7 × 10⁻¹² | <0,1 % |
| Autodefensas Conquistadoras de la Sierra Nevada - Civilians | 3,6 × 10⁻¹² | <0,1 % |
| Government of South Africa - Civilians | 3,5 × 10⁻¹² | <0,1 % |
| Myanmar (Burma): Karenni | 3,2 × 10⁻¹² | <0,1 % |
| Russia: Islamic State | 3,0 × 10⁻¹² | <0,1 % |
| Los Costenos - Civilians | 2,4 × 10⁻¹² | <0,1 % |
| Kusasi - Mamprusi | 2,2 × 10⁻¹² | <0,1 % |
| Myanmar (Burma): Arakan | 1,7 × 10⁻¹² | <0,1 % |
| Cartel Independiente de Acapulco - Los Rusos, UPOEG | 1,6 × 10⁻¹² | <0,1 % |
| Government of Papua New Guinea - Civilians | 1,4 × 10⁻¹² | <0,1 % |
| Amigos dos Amigos - Comando Vermelho | 1,2 × 10⁻¹² | <0,1 % |
| FDN - PCC | 1,2 × 10⁻¹² | <0,1 % |
| Russia (Soviet Union): Chechnya | 1,2 × 10⁻¹² | <0,1 % |
| Myanmar (Burma): Kokang | 1,1 × 10⁻¹² | <0,1 % |
| Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos | 1,0 × 10⁻¹² | <0,1 % |
| Carteles Unidos, Guerreros Unidos - Los Tlacos | 9,4 × 10⁻¹³ | <0,1 % |
| Los Ardillos - Los Tlacos | 6,9 × 10⁻¹³ | <0,1 % |
| Jalisco Cartel New Generation - Zetas Vieja Escuela | 5,0 × 10⁻¹³ | <0,1 % |
| India: Kashmir | 4,5 × 10⁻¹³ | <0,1 % |
| PKK - Civilians | 3,9 × 10⁻¹³ | <0,1 % |
| Kuki - Meitei | 3,9 × 10⁻¹³ | <0,1 % |
| India: Government | 3,7 × 10⁻¹³ | <0,1 % |
| NUG - Civilians | 3,2 × 10⁻¹³ | <0,1 % |
| CPI-Maoist - Civilians | 1,6 × 10⁻¹³ | <0,1 % |
| Los Rusos, UPOEG - Los Tlacos | 1,4 × 10⁻¹³ | <0,1 % |
| Jalisco Cartel New Generation - Civilians | 1,3 × 10⁻¹³ | <0,1 % |
| Jalisco Cartel New Generation - Pájaros Sierra | 1,2 × 10⁻¹³ | <0,1 % |
| Government of Mexico - Civilians | 1,0 × 10⁻¹³ | <0,1 % |
| Los Ardillos - Los Rojos | 8,6 × 10⁻¹⁴ | <0,1 % |
| Gulf Cartel - Los Zetas - Cártel del Noreste faction | 8,1 × 10⁻¹⁴ | <0,1 % |
| Kashmir insurgents - Civilians | 7,3 × 10⁻¹⁴ | <0,1 % |
| Myanmar (Burma): Shan | 4,3 × 10⁻¹⁴ | <0,1 % |
| Hindus (India) - Muslims (India) | 3,1 × 10⁻¹⁴ | <0,1 % |
| Gulf Cartel - Sinaloa Cartel | 2,9 × 10⁻¹⁴ | <0,1 % |
| Gulf Cartel - Jalisco Cartel New Generation | 2,9 × 10⁻¹⁴ | <0,1 % |
| Government of India - Civilians | 2,7 × 10⁻¹⁴ | <0,1 % |
| ARSA - Civilians | 2,1 × 10⁻¹⁴ | <0,1 % |
| India: Western South East Asia | 1,5 × 10⁻¹⁴ | <0,1 % |
| VHP - Civilians | 7,6 × 10⁻¹⁵ | <0,1 % |
| Guerreros Unidos - Los Tlacos | 4,8 × 10⁻¹⁵ | <0,1 % |
| India - Pakistan | 3,8 × 10⁻¹⁵ | <0,1 % |
| India: Nagaland | 3,8 × 10⁻¹⁵ | <0,1 % |
| NSCN-IM - Civilians | 3,8 × 10⁻¹⁵ | <0,1 % |
| PLFI - Civilians | 3,8 × 10⁻¹⁵ | <0,1 % |
| Suma | 1,4 × 10⁻⁷ | = la cifra principal, 1,4 × 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 |
|---|---|---|
| Mining and quarrying | 2,6 × 10⁻⁶ | 83 % |
| Crop and animal production, hunting and related service activities | 1,6 × 10⁻⁷ | 5,0 % |
| Land transport and transport via pipelines | 7,0 × 10⁻⁸ | 2,2 % |
| Water transport | 6,1 × 10⁻⁸ | 1,9 % |
| Manufacture of basic metals | 5,1 × 10⁻⁸ | 1,6 % |
| Manufacture of chemicals and chemical products | 5,1 × 10⁻⁸ | 1,6 % |
| Warehousing and support activities for transportation | 3,1 × 10⁻⁸ | 0,97 % |
| Forestry and logging | 3,0 × 10⁻⁸ | 0,95 % |
| Air transport | 1,9 × 10⁻⁸ | 0,61 % |
| Wholesale trade, except of motor vehicles and motorcycles | 1,3 × 10⁻⁸ | 0,41 % |
| Manufacture of coke and refined petroleum products | 8,0 × 10⁻⁹ | 0,25 % |
| Postal and courier activities | 4,9 × 10⁻⁹ | 0,15 % |
| Retail trade, except of motor vehicles and motorcycles | 4,5 × 10⁻⁹ | 0,14 % |
| Manufacture of fabricated metal products, except machinery and equipment | 4,3 × 10⁻⁹ | 0,14 % |
| Manufacture of other transport equipment | 4,0 × 10⁻⁹ | 0,13 % |
| Construction | 3,5 × 10⁻⁹ | 0,11 % |
| Water collection, treatment and supply | 3,2 × 10⁻⁹ | 0,10 % |
| Electricity, gas, steam and air conditioning supply | 3,2 × 10⁻⁹ | 0,10 % |
| Security and investigation, service and landscape, office administrative and support activities | 2,4 × 10⁻⁹ | <0,1 % |
| Rental and leasing activities | 1,9 × 10⁻⁹ | <0,1 % |
| Public administration and defence; compulsory social security | 1,7 × 10⁻⁹ | <0,1 % |
| Sewerage, waste management, remediation activities | 1,5 × 10⁻⁹ | <0,1 % |
| Employment activities | 1,2 × 10⁻⁹ | <0,1 % |
| Manufacture of rubber and plastic products | 1,2 × 10⁻⁹ | <0,1 % |
| Manufacture of food products; beverages and tobacco products | 1,1 × 10⁻⁹ | <0,1 % |
| Legal and accounting activities; activities of head offices; management consultancy activities | 9,5 × 10⁻¹⁰ | <0,1 % |
| Wholesale and retail trade and repair of motor vehicles and motorcycles | 8,3 × 10⁻¹⁰ | <0,1 % |
| Manufacture of paper and paper products | 7,5 × 10⁻¹⁰ | <0,1 % |
| Accommodation and food service activities | 6,0 × 10⁻¹⁰ | <0,1 % |
| Manufacture of machinery and equipment n.e.c. | 5,4 × 10⁻¹⁰ | <0,1 % |
| Manufacture of computer, electronic and optical products | 5,1 × 10⁻¹⁰ | <0,1 % |
| Manufacture of other non-metallic mineral products | 4,7 × 10⁻¹⁰ | <0,1 % |
| Manufacture of motor vehicles, trailers and semi-trailers | 3,6 × 10⁻¹⁰ | <0,1 % |
| Manufacture of textiles, wearing apparel, leather and related products | 3,6 × 10⁻¹⁰ | <0,1 % |
| Repair and installation of machinery and equipment | 3,4 × 10⁻¹⁰ | <0,1 % |
| Manufacture of electrical equipment | 3,0 × 10⁻¹⁰ | <0,1 % |
| Architectural and engineering activities; technical testing and analysis | 2,8 × 10⁻¹⁰ | <0,1 % |
| Human health activities | 2,7 × 10⁻¹⁰ | <0,1 % |
| Advertising and market research | 2,5 × 10⁻¹⁰ | <0,1 % |
| Travel agency, tour operator reservation service and related activities | 2,4 × 10⁻¹⁰ | <0,1 % |
| Manufacture of basic pharmaceutical products and pharmaceutical preparations | 2,3 × 10⁻¹⁰ | <0,1 % |
| Real estate activities | 2,3 × 10⁻¹⁰ | <0,1 % |
| Computer programming, consultancy, and information service activities | 2,2 × 10⁻¹⁰ | <0,1 % |
| Repair of computers and personal and household goods | 2,2 × 10⁻¹⁰ | <0,1 % |
| Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials | 1,8 × 10⁻¹⁰ | <0,1 % |
| Activities of membership organisations | 1,7 × 10⁻¹⁰ | <0,1 % |
| Fishing and aquaculture | 1,6 × 10⁻¹⁰ | <0,1 % |
| Other personal service activities | 1,5 × 10⁻¹⁰ | <0,1 % |
| Printing and reproduction of recorded media | 1,4 × 10⁻¹⁰ | <0,1 % |
| Financial service activities, except insurance and pension funding | 1,4 × 10⁻¹⁰ | <0,1 % |
| Manufacture of furniture; other manufacturing | 1,1 × 10⁻¹⁰ | <0,1 % |
| Other professional, scientific and technical activities; veterinary activities | 1,1 × 10⁻¹⁰ | <0,1 % |
| Telecommunications | 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 | 7,8 × 10⁻¹¹ | <0,1 % |
| Education | 6,1 × 10⁻¹¹ | <0,1 % |
| Motion picture, video, television programme production; programming and broadcasting activities | 5,2 × 10⁻¹¹ | <0,1 % |
| Activities auxiliary to financial services and insurance activities | 4,5 × 10⁻¹¹ | <0,1 % |
| Publishing activities | 4,5 × 10⁻¹¹ | <0,1 % |
| Insurance, reinsurance and pension funding, except compulsory social security | 4,1 × 10⁻¹¹ | <0,1 % |
| Scientific research and development | 2,5 × 10⁻¹¹ | <0,1 % |
| Residential care activities and social work activities without accommodation | 1,7 × 10⁻¹¹ | <0,1 % |
| Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use | 2,8 × 10⁻¹² | <0,1 % |
| Suma | 3,2 × 10⁻⁶ | = la cifra principal, 3,2 × 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 | 2,8 × 10⁻⁶ | 87 % |
| México | 2,1 × 10⁻⁷ | 6,7 % |
| Brasil | 6,5 × 10⁻⁸ | 2,0 % |
| Estados Unidos | 2,9 × 10⁻⁸ | 0,92 % |
| Rusia | 2,7 × 10⁻⁸ | 0,85 % |
| Turquía | 1,5 × 10⁻⁸ | 0,46 % |
| Canadá | 1,2 × 10⁻⁸ | 0,37 % |
| Corea del Sur | 1,1 × 10⁻⁸ | 0,35 % |
| Japón | 7,9 × 10⁻⁹ | 0,25 % |
| Francia | 7,5 × 10⁻⁹ | 0,24 % |
| India | 5,0 × 10⁻⁹ | 0,16 % |
| Argentina | 4,1 × 10⁻⁹ | 0,13 % |
| Alemania | 4,0 × 10⁻⁹ | 0,13 % |
| España | 3,1 × 10⁻⁹ | <0,1 % |
| Indonesia | 3,0 × 10⁻⁹ | <0,1 % |
| Italia | 3,0 × 10⁻⁹ | <0,1 % |
| Polonia | 1,8 × 10⁻⁹ | <0,1 % |
| Australia | 1,2 × 10⁻⁹ | <0,1 % |
| Portugal | 9,5 × 10⁻¹⁰ | <0,1 % |
| Austria | 9,4 × 10⁻¹⁰ | <0,1 % |
| Chequia | 7,1 × 10⁻¹⁰ | <0,1 % |
| Bélgica | 6,8 × 10⁻¹⁰ | <0,1 % |
| Bulgaria | 6,5 × 10⁻¹⁰ | <0,1 % |
| Países Bajos | 6,5 × 10⁻¹⁰ | <0,1 % |
| Rumanía | 5,4 × 10⁻¹⁰ | <0,1 % |
| Hungría | 4,9 × 10⁻¹⁰ | <0,1 % |
| Suiza | 4,7 × 10⁻¹⁰ | <0,1 % |
| Lituania | 4,5 × 10⁻¹⁰ | <0,1 % |
| Dinamarca | 4,0 × 10⁻¹⁰ | <0,1 % |
| Grecia | 3,9 × 10⁻¹⁰ | <0,1 % |
| Suecia | 3,6 × 10⁻¹⁰ | <0,1 % |
| Arabia Saudí | 3,6 × 10⁻¹⁰ | <0,1 % |
| Noruega | 3,1 × 10⁻¹⁰ | <0,1 % |
| Finlandia | 3,0 × 10⁻¹⁰ | <0,1 % |
| Irlanda | 2,5 × 10⁻¹⁰ | <0,1 % |
| Letonia | 2,5 × 10⁻¹⁰ | <0,1 % |
| Eslovaquia | 1,7 × 10⁻¹⁰ | <0,1 % |
| Eslovenia | 1,5 × 10⁻¹⁰ | <0,1 % |
| Croacia | 1,3 × 10⁻¹⁰ | <0,1 % |
| Sudáfrica | 9,5 × 10⁻¹¹ | <0,1 % |
| Luxemburgo | 6,5 × 10⁻¹¹ | <0,1 % |
| Estonia | 6,1 × 10⁻¹¹ | <0,1 % |
| Reino Unido | 4,2 × 10⁻¹¹ | <0,1 % |
| Chipre | 4,0 × 10⁻¹¹ | <0,1 % |
| China | 2,9 × 10⁻¹¹ | <0,1 % |
| Malta | 9,0 × 10⁻¹² | <0,1 % |
| Serbia | 1,6 × 10⁻¹⁴ | <0,1 % |
| Suma | 3,2 × 10⁻⁶ | = la cifra principal, 3,2 × 10⁻⁶ |
Lo que este rastro no muestra
- Las tablas son marginales. «El cobalto lleva el 40 %» y «un país lleva el 60 %» son dos lecturas de una cifra, no un camino a través de ella: la ejecución guarda la cifra por cada dimensión, no por cada combinación de ellas.
- Un intervalo pertenece a la cifra completa. El número de un paso es su estimación central.
- Solo fase de producción. El daño derivado de usar el producto — conducir el coche, cargar el teléfono — no está en esta cifra.
Fuentes de esta cifra
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HumanToll 2026, ejecución 2259, metodología v1.0. https://quiescence.eu/humantoll/explain/nmc-cathode/