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Cómo se construye la cifra de Pasta de cacao

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 cocoa mass (cocoa paste, cocoa liquor). 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 — 4,1 × 10⁻⁸ por unidad(0,16–1,0 × 10⁻⁷)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(2,3–5,2 × 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.

1 · De qué está hecho, y qué lleva cada material
Material	Por unidad	Muertes por kg	Aportación	Parte
Cacao	0,0013 t	3,3 × 10⁻⁸	4,1 × 10⁻⁸	100 %
Suma			4,1 × 10⁻⁸	= la cifra principal, 4,1 × 10⁻⁸

2 · Dónde se contó el daño

La misma cifra principal, según el país donde se contó el daño que llevan los materiales.

2 · Dónde se contó el daño
País	Aportación	Parte
Camerún	1,4 × 10⁻⁸	35 %
Nigeria	1,1 × 10⁻⁸	27 %
Ecuador	6,2 × 10⁻⁹	15 %
República Democrática del Congo	3,3 × 10⁻⁹	8,1 %
México	1,4 × 10⁻⁹	3,4 %
Brasil	1,2 × 10⁻⁹	3,0 %
Haití	8,8 × 10⁻¹⁰	2,1 %
Colombia	7,7 × 10⁻¹⁰	1,9 %
Togo	7,0 × 10⁻¹⁰	1,7 %
Ghana	3,2 × 10⁻¹⁰	0,79 %
Uganda	1,8 × 10⁻¹⁰	0,45 %
Papúa Nueva Guinea	1,5 × 10⁻¹⁰	0,38 %
Indonesia	6,7 × 10⁻¹¹	0,16 %
Filipinas	3,8 × 10⁻¹¹	<0,1 %
Honduras	3,5 × 10⁻¹¹	<0,1 %
Perú	1,9 × 10⁻¹¹	<0,1 %
Guatemala	1,8 × 10⁻¹¹	<0,1 %
República Centroafricana	1,7 × 10⁻¹¹	<0,1 %
India	1,1 × 10⁻¹¹	<0,1 %
Venezuela	6,1 × 10⁻¹²	<0,1 %
Sri Lanka	6,1 × 10⁻¹²	<0,1 %
Panamá	3,7 × 10⁻¹²	<0,1 %
Costa Rica	1,9 × 10⁻¹²	<0,1 %
Tailandia	7,8 × 10⁻¹³	<0,1 %
Bolivia	2,1 × 10⁻¹³	<0,1 %
Suma	4,1 × 10⁻⁸	= la cifra principal, 4,1 × 10⁻⁸

3 · Por qué canal de daño

La misma cifra principal, por canal de daño: conflicto, trabajo, privación, exposición.

3 · Por qué canal de daño
Canal	Aportación	Parte
Conflicto y violencia política	4,0 × 10⁻⁸	99 %
Trabajo	4,6 × 10⁻¹⁰	1,1 %
Suma	4,1 × 10⁻⁸	= la cifra principal, 4,1 × 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.

4 · Qué conflictos
Conflicto	Aportación	Parte
Cameroon: Ambazonia	4,3 × 10⁻⁹	11 %
Nigeria: Islamic State	4,0 × 10⁻⁹	9,8 %
JAS - Civilians	2,6 × 10⁻⁹	6,3 %
Cameroon: Government	2,5 × 10⁻⁹	6,2 %
Ambazonia insurgents - Civilians	2,3 × 10⁻⁹	5,7 %
IS - Civilians	2,2 × 10⁻⁹	5,4 %
Los Choneros - Los Lobos	2,0 × 10⁻⁹	4,9 %
Nigeria: Government	1,5 × 10⁻⁹	3,7 %
Cameroon: Islamic State	1,2 × 10⁻⁹	2,9 %
IS - JAS	9,7 × 10⁻¹⁰	2,4 %
Fatales, Los Aguilas - Los Lobos , Los Tiguerones	8,3 × 10⁻¹⁰	2,0 %
Los Chone Killers - Latin Kings	6,9 × 10⁻¹⁰	1,7 %
Los Aguilas - Los Lobos	6,1 × 10⁻¹⁰	1,5 %
Government of Cameroon - Civilians	5,6 × 10⁻¹⁰	1,4 %
Fulani - Mwaghavul	5,6 × 10⁻¹⁰	1,4 %
Los Choneros - Los Lagartos	5,5 × 10⁻¹⁰	1,4 %
Los Lobos - Los Tiguerones	5,4 × 10⁻¹⁰	1,3 %
Los Lagartos - Mafia 18	5,4 × 10⁻¹⁰	1,3 %
Jalisco Cartel New Generation - Sinaloa Cartel	5,4 × 10⁻¹⁰	1,3 %
URDPC - Civilians	5,3 × 10⁻¹⁰	1,3 %
Fulani - Mwaghavul , Ron	5,1 × 10⁻¹⁰	1,3 %
Fulani - Tiv	4,9 × 10⁻¹⁰	1,2 %
Sin ubicar	4,6 × 10⁻¹⁰	1,1 %
JNIM - Civilians	4,3 × 10⁻¹⁰	1,1 %
Farmers (Nigeria) - Herders (Nigeria)	4,2 × 10⁻¹⁰	1,0 %
Los Aguilas - Los Lobos , Los Tiguerones	4,2 × 10⁻¹⁰	1,0 %
Comando Vermelho - PCC	3,6 × 10⁻¹⁰	0,88 %
Lengola - Mbole	3,5 × 10⁻¹⁰	0,85 %
Comités locaux de vigilance - JAS	3,4 × 10⁻¹⁰	0,82 %
Kusasi - Mamprusi	3,2 × 10⁻¹⁰	0,79 %
Nigeria: Biafra	3,0 × 10⁻¹⁰	0,74 %
Togo: Government	2,7 × 10⁻¹⁰	0,65 %
Government of Rwanda - Civilians	2,4 × 10⁻¹⁰	0,60 %
DR Congo (Zaire): Government	2,4 × 10⁻¹⁰	0,59 %
DR Congo (Zaire): Islamic State	2,4 × 10⁻¹⁰	0,59 %
Jalisco Cartel New Generation - Santa Rosa de Lima Cartel	2,3 × 10⁻¹⁰	0,57 %
Birom - Fulani	2,2 × 10⁻¹⁰	0,55 %
Juarez Cartel - Sinaloa Cartel	2,1 × 10⁻¹⁰	0,52 %
Atyap - Fulani	1,9 × 10⁻¹⁰	0,47 %
Karimjo - Wurukum	1,8 × 10⁻¹⁰	0,44 %
Black Axe - Eyie	1,7 × 10⁻¹⁰	0,42 %
Government of Haiti - Civilians	1,6 × 10⁻¹⁰	0,39 %
Carteles Unidos - Jalisco Cartel New Generation	1,6 × 10⁻¹⁰	0,39 %
Ambulin, Lungupin, Nenei, Sau, Sau Walep, Yandamau, Yopo - Kaekin, Lanzerakin, Lyona, Mupapalu, Murap, Palinau, Sakaikin, Sikin, Wapukin	1,5 × 10⁻¹⁰	0,37 %
Forces of Terwase Akwanza - Civilians	1,5 × 10⁻¹⁰	0,37 %
M23 - VDP	1,5 × 10⁻¹⁰	0,37 %
G9 - G-Pep	1,5 × 10⁻¹⁰	0,36 %
Mobondo - Civilians	1,4 × 10⁻¹⁰	0,35 %
Fulani - Idoma	1,4 × 10⁻¹⁰	0,34 %
Terre Noire - Civilians	1,4 × 10⁻¹⁰	0,34 %
5 Segond, Taliban - Civilians	1,3 × 10⁻¹⁰	0,33 %
Fulani - Kuteb	1,3 × 10⁻¹⁰	0,32 %
Bonde do Maluco - Comando Vermelho	1,3 × 10⁻¹⁰	0,32 %
Grand Ravine - Civilians	1,2 × 10⁻¹⁰	0,31 %
Cartel do Norte - Comando Vermelho	1,2 × 10⁻¹⁰	0,29 %
M23 - Civilians	1,2 × 10⁻¹⁰	0,28 %
Rwanda: Government	1,0 × 10⁻¹⁰	0,25 %
Government of DR Congo (Zaire) - Civilians	9,4 × 10⁻¹¹	0,23 %
G-Pep - Civilians	9,4 × 10⁻¹¹	0,23 %
Government of Nigeria - Civilians	9,4 × 10⁻¹¹	0,23 %
EGC - Civilians	9,3 × 10⁻¹¹	0,23 %
Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos	9,1 × 10⁻¹¹	0,22 %
Bonde dos 40 - PCC	8,3 × 10⁻¹¹	0,20 %
Chain Guys - Full Force	7,8 × 10⁻¹¹	0,19 %
Comando Vermelho - GDE	6,3 × 10⁻¹¹	0,15 %
Nova Okaida - Estados Unidos	6,3 × 10⁻¹¹	0,15 %
GDE, PCC - Sindicato do Crime	6,2 × 10⁻¹¹	0,15 %
PCC - Sindicato do Crime	5,5 × 10⁻¹¹	0,13 %
Amigos Para Sempre - Família Terror Amapá	5,4 × 10⁻¹¹	0,13 %
Colombia: Government	5,2 × 10⁻¹¹	0,13 %
Uganda: Islamic State	5,1 × 10⁻¹¹	0,13 %
FARC-EMC - Civilians	4,9 × 10⁻¹¹	0,12 %
URDPC - Zaire self-defense group	4,8 × 10⁻¹¹	0,12 %
Los Lobos - R7	4,6 × 10⁻¹¹	0,11 %
Comando Vermelho - Civilians	4,5 × 10⁻¹¹	0,11 %
Hausa - Fulani	4,4 × 10⁻¹¹	0,11 %
Zaire self-defense group - Civilians	4,2 × 10⁻¹¹	0,10 %
Indonesia: West Papua	4,2 × 10⁻¹¹	0,10 %
VDP - Civilians	4,0 × 10⁻¹¹	<0,1 %
Cartel Independiente de Acapulco - Los Rusos, UPOEG	4,0 × 10⁻¹¹	<0,1 %
M18 - MS-13	3,9 × 10⁻¹¹	<0,1 %
Gran Grif - Civilians	3,7 × 10⁻¹¹	<0,1 %
400 Mawozo - Civilians	3,7 × 10⁻¹¹	<0,1 %
Bonde dos 13, PCC - Comando Vermelho	3,3 × 10⁻¹¹	<0,1 %
Bonde dos 40 - Comando Vermelho	3,3 × 10⁻¹¹	<0,1 %
FARC-EMC - ELN	3,2 × 10⁻¹¹	<0,1 %
FPIC Chambre noire sanduku - URDPC	3,1 × 10⁻¹¹	<0,1 %
Fulani - Irigwe	3,1 × 10⁻¹¹	<0,1 %
FPIC Chambre noire sanduku - Civilians	3,1 × 10⁻¹¹	<0,1 %
Fulani - Igala	2,6 × 10⁻¹¹	<0,1 %
Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos	2,5 × 10⁻¹¹	<0,1 %
Greenlanders - NDV	2,3 × 10⁻¹¹	<0,1 %
Black Axe - Maphite	2,3 × 10⁻¹¹	<0,1 %
Philippines: Government	2,3 × 10⁻¹¹	<0,1 %
Comando Vermelho - Holanda	2,3 × 10⁻¹¹	<0,1 %
Carteles Unidos, Guerreros Unidos - Los Tlacos	2,3 × 10⁻¹¹	<0,1 %
Choa Arab - Kotoko	2,2 × 10⁻¹¹	<0,1 %
Choa Arab - Musgum	2,2 × 10⁻¹¹	<0,1 %
AFC - Civilians	2,2 × 10⁻¹¹	<0,1 %
FARC - Segunda Marquetalia - Civilians	2,1 × 10⁻¹¹	<0,1 %
AFP-Gutabara - CNPSC, FABB	2,1 × 10⁻¹¹	<0,1 %
ELN - Civilians	2,1 × 10⁻¹¹	<0,1 %
OPM - Civilians	2,0 × 10⁻¹¹	<0,1 %
Peru: Government	1,9 × 10⁻¹¹	<0,1 %
Comando Vermelho - Massa	1,8 × 10⁻¹¹	<0,1 %
Nova Okaida - PCC	1,7 × 10⁻¹¹	<0,1 %
Los Costenos - Los Pepes	1,7 × 10⁻¹¹	<0,1 %
Los Ardillos - Los Tlacos	1,7 × 10⁻¹¹	<0,1 %
EGC - ELN, FARC-EMC	1,6 × 10⁻¹¹	<0,1 %
Bonde do Maluco - Katiara	1,6 × 10⁻¹¹	<0,1 %
Bonde do Maluco - Civilians	1,6 × 10⁻¹¹	<0,1 %
Supporters of APC - Supporters of PDP	1,6 × 10⁻¹¹	<0,1 %
EGC - ELN	1,6 × 10⁻¹¹	<0,1 %
Black Axe - SVC	1,3 × 10⁻¹¹	<0,1 %
IPOB - Civilians	1,3 × 10⁻¹¹	<0,1 %
Bonde dos 40 - Civilians	1,3 × 10⁻¹¹	<0,1 %
Jalisco Cartel New Generation - Zetas Vieja Escuela	1,2 × 10⁻¹¹	<0,1 %
Comando Vermelho - Terceiro Comando Puro	1,2 × 10⁻¹¹	<0,1 %
Philippines: Islamic State	1,1 × 10⁻¹¹	<0,1 %
Agatu - Fulani	1,0 × 10⁻¹¹	<0,1 %
IS - Yan Gora	1,0 × 10⁻¹¹	<0,1 %
Deebam - NDV	1,0 × 10⁻¹¹	<0,1 %
Central African Republic: Government	1,0 × 10⁻¹¹	<0,1 %
PCC - Civilians	9,0 × 10⁻¹²	<0,1 %
M18 - Civilians	8,8 × 10⁻¹²	<0,1 %
Ajeita - Bonde do Maluco	8,0 × 10⁻¹²	<0,1 %
AFP-Gutabara - FABB	7,6 × 10⁻¹²	<0,1 %
EGC - Autodefensas Conquistadoras de la Sierra Nevada	6,8 × 10⁻¹²	<0,1 %
FRPI - Civilians	6,2 × 10⁻¹²	<0,1 %
Government of Brazil - Civilians	6,0 × 10⁻¹²	<0,1 %
Government of Colombia - Civilians	5,6 × 10⁻¹²	<0,1 %
Anti-Bala - Bala na Cara	5,5 × 10⁻¹²	<0,1 %
Jukun - Tiv	5,2 × 10⁻¹²	<0,1 %
Bonde dos 40 - PCM	5,0 × 10⁻¹²	<0,1 %
Government of Indonesia - Civilians	5,0 × 10⁻¹²	<0,1 %
Government of Venezuela - Civilians	5,0 × 10⁻¹²	<0,1 %
Burundi: Government	4,9 × 10⁻¹²	<0,1 %
MS-13 - Civilians	4,6 × 10⁻¹²	<0,1 %
Basonge - Bena Nkoma (Bakwa Luntu, Luba)	4,2 × 10⁻¹²	<0,1 %
AAKG - CPC	4,1 × 10⁻¹²	<0,1 %
Kokorat sans ras - Civilians	3,8 × 10⁻¹²	<0,1 %
Los Rusos, UPOEG - Los Tlacos	3,5 × 10⁻¹²	<0,1 %
FDLR-FOCA - Civilians	3,5 × 10⁻¹²	<0,1 %
FPIC Chambre noire sanduku - FRPI	3,5 × 10⁻¹²	<0,1 %
India: Kashmir	3,3 × 10⁻¹²	<0,1 %
Jalisco Cartel New Generation - Civilians	3,2 × 10⁻¹²	<0,1 %
Jalisco Cartel New Generation - Pájaros Sierra	2,9 × 10⁻¹²	<0,1 %
Kuki - Meitei	2,9 × 10⁻¹²	<0,1 %
Mayi Mayi Chini ya Tuna - Civilians	2,8 × 10⁻¹²	<0,1 %
India: Government	2,7 × 10⁻¹²	<0,1 %
Comandos de la Frontera - Civilians	2,5 × 10⁻¹²	<0,1 %
Government of Mexico - Civilians	2,5 × 10⁻¹²	<0,1 %
Government of Papua New Guinea - Civilians	2,3 × 10⁻¹²	<0,1 %
CPP - Civilians	2,3 × 10⁻¹²	<0,1 %
Los Ardillos - Los Rojos	2,1 × 10⁻¹²	<0,1 %
South Sudan: Government	2,1 × 10⁻¹²	<0,1 %
Luba - Batwa	2,1 × 10⁻¹²	<0,1 %
Gulf Cartel - Los Zetas - Cártel del Noreste faction	2,0 × 10⁻¹²	<0,1 %
Forces of Tony Peña - Los Hondureños	1,9 × 10⁻¹²	<0,1 %
Autodefensas Conquistadoras de la Sierra Nevada - Civilians	1,9 × 10⁻¹²	<0,1 %
Central African Republic: Logone	1,2 × 10⁻¹²	<0,1 %
Los Costenos - Civilians	1,2 × 10⁻¹²	<0,1 %
CPI-Maoist - Civilians	1,2 × 10⁻¹²	<0,1 %
CPC - Civilians	1,1 × 10⁻¹²	<0,1 %
Gulf Cartel - Sinaloa Cartel	7,0 × 10⁻¹³	<0,1 %
Gulf Cartel - Jalisco Cartel New Generation	7,0 × 10⁻¹³	<0,1 %
DR Congo (Zaire): Katanga	6,9 × 10⁻¹³	<0,1 %
Government of Uganda - Civilians	6,9 × 10⁻¹³	<0,1 %
Government of Burundi - Civilians	6,9 × 10⁻¹³	<0,1 %
Twiganeho - Civilians	6,9 × 10⁻¹³	<0,1 %
AFC - VDP	6,9 × 10⁻¹³	<0,1 %
Kashmir insurgents - Civilians	5,3 × 10⁻¹³	<0,1 %
Amigos dos Amigos - Comando Vermelho	5,0 × 10⁻¹³	<0,1 %
FDN - PCC	5,0 × 10⁻¹³	<0,1 %
Government of Central African Republic - Civilians	3,6 × 10⁻¹³	<0,1 %
Philippines: Mindanao	2,8 × 10⁻¹³	<0,1 %
Government of Philippines - Civilians	2,8 × 10⁻¹³	<0,1 %
Hindus (India) - Muslims (India)	2,2 × 10⁻¹³	<0,1 %
Government of India - Civilians	2,0 × 10⁻¹³	<0,1 %
Guerreros Unidos - Los Tlacos	1,2 × 10⁻¹³	<0,1 %
India: Western South East Asia	1,1 × 10⁻¹³	<0,1 %
Farmers (CAR) - Herders (CAR)	8,1 × 10⁻¹⁴	<0,1 %
AAKG - Civilians	8,1 × 10⁻¹⁴	<0,1 %
Myanmar (Burma): Government	5,6 × 10⁻¹⁴	<0,1 %
VHP - Civilians	5,6 × 10⁻¹⁴	<0,1 %
Thailand: Patani	3,7 × 10⁻¹⁴	<0,1 %
India - Pakistan	2,8 × 10⁻¹⁴	<0,1 %
India: Nagaland	2,8 × 10⁻¹⁴	<0,1 %
NSCN-IM - Civilians	2,8 × 10⁻¹⁴	<0,1 %
PLFI - Civilians	2,8 × 10⁻¹⁴	<0,1 %
Patani insurgents - Civilians	1,2 × 10⁻¹⁵	<0,1 %
Suma	4,1 × 10⁻⁸	= la cifra principal, 4,1 × 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.

5 · La vía monetaria: qué industrias
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.

6 · La vía monetaria: qué países
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

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HumanToll 2026, ejecución 2259, metodología v1.0. https://quiescence.eu/humantoll/explain/cocoa-mass/

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