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Cómo se construye la cifra de Café tostado

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 roasted coffee beans. 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 — 6,7 × 10⁻⁸ por unidad(0,27–1,7 × 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(2,3–5,1 × 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
Café	0,0012 t	5,7 × 10⁻⁸	6,7 × 10⁻⁸	100 %
Suma			6,7 × 10⁻⁸	= la cifra principal, 6,7 × 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
Etiopía	2,4 × 10⁻⁸	36 %
República Centroafricana	2,0 × 10⁻⁸	30 %
Brasil	5,2 × 10⁻⁹	7,7 %
Colombia	4,1 × 10⁻⁹	6,1 %
Honduras	4,0 × 10⁻⁹	5,9 %
República Democrática del Congo	2,5 × 10⁻⁹	3,7 %
Yemen	1,3 × 10⁻⁹	2,0 %
Uganda	1,1 × 10⁻⁹	1,6 %
Haití	8,9 × 10⁻¹⁰	1,3 %
Camerún	7,5 × 10⁻¹⁰	1,1 %
México	6,6 × 10⁻¹⁰	0,98 %
Kenia	5,9 × 10⁻¹⁰	0,88 %
Togo	4,0 × 10⁻¹⁰	0,59 %
Burundi	3,5 × 10⁻¹⁰	0,53 %
Myanmar (Birmania)	2,5 × 10⁻¹⁰	0,37 %
Guatemala	1,6 × 10⁻¹⁰	0,24 %
Costa Rica	1,6 × 10⁻¹⁰	0,23 %
Papúa Nueva Guinea	1,1 × 10⁻¹⁰	0,16 %
Filipinas	9,2 × 10⁻¹¹	0,14 %
India	6,9 × 10⁻¹¹	0,10 %
Estados Unidos	5,8 × 10⁻¹¹	<0,1 %
Tailandia	4,2 × 10⁻¹¹	<0,1 %
Indonesia	3,8 × 10⁻¹¹	<0,1 %
Panamá	3,7 × 10⁻¹¹	<0,1 %
Nigeria	2,9 × 10⁻¹¹	<0,1 %
Perú	2,1 × 10⁻¹¹	<0,1 %
Sri Lanka	1,9 × 10⁻¹¹	<0,1 %
Ecuador	1,9 × 10⁻¹¹	<0,1 %
Mozambique	6,2 × 10⁻¹²	<0,1 %
Venezuela	6,2 × 10⁻¹²	<0,1 %
Bolivia	4,3 × 10⁻¹³	<0,1 %
Benín	3,2 × 10⁻¹³	<0,1 %
Ghana	1,8 × 10⁻¹³	<0,1 %
China	1,5 × 10⁻¹⁴	<0,1 %
Arabia Saudí	5,8 × 10⁻¹⁵	<0,1 %
Suma	6,7 × 10⁻⁸	= la cifra principal, 6,7 × 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	6,5 × 10⁻⁸	96 %
Trabajo	2,5 × 10⁻⁹	3,7 %
Suma	6,7 × 10⁻⁸	= la cifra principal, 6,7 × 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
Ethiopia: Government/Amhara	1,3 × 10⁻⁸	19 %
Central African Republic: Government	1,2 × 10⁻⁸	18 %
AAKG - CPC	4,8 × 10⁻⁹	7,1 %
Ethiopia: Oromiya	4,7 × 10⁻⁹	7,0 %
M18 - MS-13	3,3 × 10⁻⁹	4,9 %
Sin ubicar	2,5 × 10⁻⁹	3,7 %
Government of Ethiopia - Civilians	1,9 × 10⁻⁹	2,9 %
OLA - Civilians	1,5 × 10⁻⁹	2,2 %
Comando Vermelho - PCC	1,5 × 10⁻⁹	2,2 %
Central African Republic: Logone	1,5 × 10⁻⁹	2,2 %
IS - Civilians	1,4 × 10⁻⁹	2,1 %
Fano - Civilians	1,3 × 10⁻⁹	2,0 %
CPC - Civilians	1,3 × 10⁻⁹	2,0 %
Anuak - Nuer	1,3 × 10⁻⁹	1,9 %
Yemen (North Yemen): Government	1,1 × 10⁻⁹	1,7 %
M18 - Civilians	6,9 × 10⁻¹⁰	1,0 %
Bonde do Maluco - Comando Vermelho	5,4 × 10⁻¹⁰	0,80 %
Kenya: Northeastern Province and Coast	5,2 × 10⁻¹⁰	0,77 %
EGC - Civilians	4,9 × 10⁻¹⁰	0,73 %
Cartel do Norte - Comando Vermelho	4,9 × 10⁻¹⁰	0,73 %
Government of Central African Republic - Civilians	4,2 × 10⁻¹⁰	0,63 %
URDPC - Civilians	4,0 × 10⁻¹⁰	0,59 %
Amhara - Oromo	3,5 × 10⁻¹⁰	0,52 %
Bonde dos 40 - PCC	3,5 × 10⁻¹⁰	0,51 %
Uganda: Islamic State	3,0 × 10⁻¹⁰	0,45 %
Colombia: Government	2,8 × 10⁻¹⁰	0,41 %
FARC-EMC - Civilians	2,6 × 10⁻¹⁰	0,39 %
Comando Vermelho - GDE	2,6 × 10⁻¹⁰	0,39 %
Jalisco Cartel New Generation - Sinaloa Cartel	2,6 × 10⁻¹⁰	0,39 %
Lengola - Mbole	2,6 × 10⁻¹⁰	0,39 %
Nova Okaida - Estados Unidos	2,6 × 10⁻¹⁰	0,39 %
GDE, PCC - Sindicato do Crime	2,6 × 10⁻¹⁰	0,38 %
Burundi: Government	2,5 × 10⁻¹⁰	0,37 %
JNIM - Civilians	2,5 × 10⁻¹⁰	0,37 %
PCC - Sindicato do Crime	2,3 × 10⁻¹⁰	0,34 %
Cameroon: Ambazonia	2,3 × 10⁻¹⁰	0,33 %
Amigos Para Sempre - Família Terror Amapá	2,2 × 10⁻¹⁰	0,33 %
Comando Vermelho - Civilians	1,9 × 10⁻¹⁰	0,28 %
Government of Rwanda - Civilians	1,8 × 10⁻¹⁰	0,27 %
DR Congo (Zaire): Government	1,8 × 10⁻¹⁰	0,27 %
DR Congo (Zaire): Islamic State	1,8 × 10⁻¹⁰	0,27 %
FARC-EMC - ELN	1,7 × 10⁻¹⁰	0,25 %
Government of Haiti - Civilians	1,6 × 10⁻¹⁰	0,24 %
Forces of Tony Peña - Los Hondureños	1,6 × 10⁻¹⁰	0,23 %
Guraghe - Mareqo	1,5 × 10⁻¹⁰	0,23 %
Togo: Government	1,5 × 10⁻¹⁰	0,23 %
AQAP - Forces of the Presidential Leadership Council	1,5 × 10⁻¹⁰	0,23 %
G9 - G-Pep	1,5 × 10⁻¹⁰	0,22 %
Terre Noire - Civilians	1,4 × 10⁻¹⁰	0,21 %
Myanmar (Burma): Government	1,4 × 10⁻¹⁰	0,20 %
5 Segond, Taliban - Civilians	1,4 × 10⁻¹⁰	0,20 %
Bonde dos 13, PCC - Comando Vermelho	1,4 × 10⁻¹⁰	0,20 %
Bonde dos 40 - Comando Vermelho	1,4 × 10⁻¹⁰	0,20 %
Cameroon: Government	1,3 × 10⁻¹⁰	0,20 %
JAS - Civilians	1,3 × 10⁻¹⁰	0,19 %
MS-13 - Civilians	1,3 × 10⁻¹⁰	0,19 %
Grand Ravine - Civilians	1,3 × 10⁻¹⁰	0,19 %
Ambazonia insurgents - Civilians	1,2 × 10⁻¹⁰	0,18 %
FARC - Segunda Marquetalia - Civilians	1,1 × 10⁻¹⁰	0,17 %
Jalisco Cartel New Generation - Santa Rosa de Lima Cartel	1,1 × 10⁻¹⁰	0,17 %
M23 - VDP	1,1 × 10⁻¹⁰	0,17 %
Mobondo - Civilians	1,1 × 10⁻¹⁰	0,16 %
Government of Burundi - Civilians	1,1 × 10⁻¹⁰	0,16 %
ELN - Civilians	1,1 × 10⁻¹⁰	0,16 %
Ambulin, Lungupin, Nenei, Sau, Sau Walep, Yandamau, Yopo - Kaekin, Lanzerakin, Lyona, Mupapalu, Murap, Palinau, Sakaikin, Sikin, Wapukin	1,0 × 10⁻¹⁰	0,16 %
Murle - Nuer	1,0 × 10⁻¹⁰	0,15 %
Juarez Cartel - Sinaloa Cartel	1,0 × 10⁻¹⁰	0,15 %
Comando Vermelho - Holanda	9,6 × 10⁻¹¹	0,14 %
G-Pep - Civilians	9,6 × 10⁻¹¹	0,14 %
Farmers (CAR) - Herders (CAR)	9,4 × 10⁻¹¹	0,14 %
AAKG - Civilians	9,4 × 10⁻¹¹	0,14 %
Los Costenos - Los Pepes	9,0 × 10⁻¹¹	0,13 %
EGC - ELN, FARC-EMC	8,7 × 10⁻¹¹	0,13 %
M23 - Civilians	8,7 × 10⁻¹¹	0,13 %
EGC - ELN	8,3 × 10⁻¹¹	0,12 %
Somalia: Government	7,7 × 10⁻¹¹	0,11 %
Rwanda: Government	7,7 × 10⁻¹¹	0,11 %
Carteles Unidos - Jalisco Cartel New Generation	7,6 × 10⁻¹¹	0,11 %
Comando Vermelho - Massa	7,3 × 10⁻¹¹	0,11 %
Government of DR Congo (Zaire) - Civilians	7,1 × 10⁻¹¹	0,11 %
Nova Okaida - PCC	7,1 × 10⁻¹¹	0,11 %
Bonde do Maluco - Katiara	6,7 × 10⁻¹¹	<0,1 %
Bonde do Maluco - Civilians	6,7 × 10⁻¹¹	<0,1 %
Cameroon: Islamic State	6,2 × 10⁻¹¹	<0,1 %
Al-Shabaab - Civilians	5,8 × 10⁻¹¹	<0,1 %
Philippines: Government	5,6 × 10⁻¹¹	<0,1 %
Bonde dos 40 - Civilians	5,2 × 10⁻¹¹	<0,1 %
Comando Vermelho - Terceiro Comando Puro	5,0 × 10⁻¹¹	<0,1 %
Government of Myanmar (Burma) - Civilians	4,8 × 10⁻¹¹	<0,1 %
Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos	4,4 × 10⁻¹¹	<0,1 %
PCC - Civilians	3,7 × 10⁻¹¹	<0,1 %
Gran Grif - Civilians	3,7 × 10⁻¹¹	<0,1 %
400 Mawozo - Civilians	3,7 × 10⁻¹¹	<0,1 %
EGC - Autodefensas Conquistadoras de la Sierra Nevada	3,7 × 10⁻¹¹	<0,1 %
URDPC - Zaire self-defense group	3,6 × 10⁻¹¹	<0,1 %
Ajeita - Bonde do Maluco	3,3 × 10⁻¹¹	<0,1 %
Zaire self-defense group - Civilians	3,2 × 10⁻¹¹	<0,1 %
Amhara - Gumuz	3,1 × 10⁻¹¹	<0,1 %
VDP - Civilians	3,0 × 10⁻¹¹	<0,1 %
Government of Colombia - Civilians	3,0 × 10⁻¹¹	<0,1 %
Government of Cameroon - Civilians	2,9 × 10⁻¹¹	<0,1 %
Philippines: Islamic State	2,7 × 10⁻¹¹	<0,1 %
Government of Brazil - Civilians	2,5 × 10⁻¹¹	<0,1 %
United Kingdom, United States of America - Yemen	2,4 × 10⁻¹¹	<0,1 %
Indonesia: West Papua	2,4 × 10⁻¹¹	<0,1 %
FPIC Chambre noire sanduku - URDPC	2,3 × 10⁻¹¹	<0,1 %
Myanmar (Burma): Kachin	2,3 × 10⁻¹¹	<0,1 %
FPIC Chambre noire sanduku - Civilians	2,3 × 10⁻¹¹	<0,1 %
Anti-Bala - Bala na Cara	2,3 × 10⁻¹¹	<0,1 %
Peru: Government	2,1 × 10⁻¹¹	<0,1 %
Bonde dos 40 - PCM	2,1 × 10⁻¹¹	<0,1 %
India: Kashmir	2,0 × 10⁻¹¹	<0,1 %
Cartel Independiente de Acapulco - Los Rusos, UPOEG	1,9 × 10⁻¹¹	<0,1 %
Comités locaux de vigilance - JAS	1,8 × 10⁻¹¹	<0,1 %
Kuki - Meitei	1,7 × 10⁻¹¹	<0,1 %
Government of Yemen (North Yemen) - Civilians	1,7 × 10⁻¹¹	<0,1 %
AFC - Civilians	1,7 × 10⁻¹¹	<0,1 %
India: Government	1,6 × 10⁻¹¹	<0,1 %
AFP-Gutabara - CNPSC, FABB	1,6 × 10⁻¹¹	<0,1 %
Myanmar (Burma): Karen	1,5 × 10⁻¹¹	<0,1 %
Comandos de la Frontera - Civilians	1,3 × 10⁻¹¹	<0,1 %
Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos	1,2 × 10⁻¹¹	<0,1 %
Myanmar (Burma): Karenni	1,2 × 10⁻¹¹	<0,1 %
OPM - Civilians	1,1 × 10⁻¹¹	<0,1 %
Carteles Unidos, Guerreros Unidos - Los Tlacos	1,1 × 10⁻¹¹	<0,1 %
Nigeria: Islamic State	1,0 × 10⁻¹¹	<0,1 %
Autodefensas Conquistadoras de la Sierra Nevada - Civilians	1,0 × 10⁻¹¹	<0,1 %
Los Ardillos - Los Tlacos	8,1 × 10⁻¹²	<0,1 %
CPI-Maoist - Civilians	7,3 × 10⁻¹²	<0,1 %
Los Costenos - Civilians	6,7 × 10⁻¹²	<0,1 %
Myanmar (Burma): Arakan	6,4 × 10⁻¹²	<0,1 %
Los Choneros - Los Lobos	6,2 × 10⁻¹²	<0,1 %
Jalisco Cartel New Generation - Zetas Vieja Escuela	5,9 × 10⁻¹²	<0,1 %
AFP-Gutabara - FABB	5,7 × 10⁻¹²	<0,1 %
CPP - Civilians	5,5 × 10⁻¹²	<0,1 %
Government of Venezuela - Civilians	5,0 × 10⁻¹²	<0,1 %
FRPI - Civilians	4,7 × 10⁻¹²	<0,1 %
Mozambique: Islamic State	4,0 × 10⁻¹²	<0,1 %
Nigeria: Government	3,9 × 10⁻¹²	<0,1 %
Myanmar (Burma): Kokang	3,9 × 10⁻¹²	<0,1 %
Kokorat sans ras - Civilians	3,9 × 10⁻¹²	<0,1 %
Kashmir insurgents - Civilians	3,2 × 10⁻¹²	<0,1 %
Basonge - Bena Nkoma (Bakwa Luntu, Luba)	3,1 × 10⁻¹²	<0,1 %
Government of Indonesia - Civilians	2,9 × 10⁻¹²	<0,1 %
RED-TABARA - Civilians	2,8 × 10⁻¹²	<0,1 %
FDLR-FOCA - Civilians	2,6 × 10⁻¹²	<0,1 %
FPIC Chambre noire sanduku - FRPI	2,6 × 10⁻¹²	<0,1 %
Fatales, Los Aguilas - Los Lobos , Los Tiguerones	2,6 × 10⁻¹²	<0,1 %
IS - JAS	2,5 × 10⁻¹²	<0,1 %
Los Chone Killers - Latin Kings	2,2 × 10⁻¹²	<0,1 %
Mayi Mayi Chini ya Tuna - Civilians	2,1 × 10⁻¹²	<0,1 %
Amigos dos Amigos - Comando Vermelho	2,1 × 10⁻¹²	<0,1 %
FDN - PCC	2,1 × 10⁻¹²	<0,1 %
Thailand: Patani	1,9 × 10⁻¹²	<0,1 %
Los Aguilas - Los Lobos	1,9 × 10⁻¹²	<0,1 %
Los Choneros - Los Lagartos	1,7 × 10⁻¹²	<0,1 %
Los Rusos, UPOEG - Los Tlacos	1,7 × 10⁻¹²	<0,1 %
Los Lobos - Los Tiguerones	1,7 × 10⁻¹²	<0,1 %
Los Lagartos - Mafia 18	1,7 × 10⁻¹²	<0,1 %
Government of Papua New Guinea - Civilians	1,6 × 10⁻¹²	<0,1 %
South Sudan: Government	1,6 × 10⁻¹²	<0,1 %
Luba - Batwa	1,6 × 10⁻¹²	<0,1 %
Jalisco Cartel New Generation - Civilians	1,5 × 10⁻¹²	<0,1 %
Fulani - Mwaghavul	1,5 × 10⁻¹²	<0,1 %
Jalisco Cartel New Generation - Pájaros Sierra	1,4 × 10⁻¹²	<0,1 %
Hindus (India) - Muslims (India)	1,4 × 10⁻¹²	<0,1 %
Fulani - Mwaghavul , Ron	1,3 × 10⁻¹²	<0,1 %
Los Aguilas - Los Lobos , Los Tiguerones	1,3 × 10⁻¹²	<0,1 %
Fulani - Tiv	1,3 × 10⁻¹²	<0,1 %
NUG - Civilians	1,2 × 10⁻¹²	<0,1 %
Government of India - Civilians	1,2 × 10⁻¹²	<0,1 %
Government of Mexico - Civilians	1,2 × 10⁻¹²	<0,1 %
Choa Arab - Kotoko	1,2 × 10⁻¹²	<0,1 %
Choa Arab - Musgum	1,2 × 10⁻¹²	<0,1 %
Farmers (Nigeria) - Herders (Nigeria)	1,1 × 10⁻¹²	<0,1 %
Los Ardillos - Los Rojos	1,0 × 10⁻¹²	<0,1 %
Gulf Cartel - Los Zetas - Cártel del Noreste faction	9,6 × 10⁻¹³	<0,1 %
Nigeria: Biafra	7,8 × 10⁻¹³	<0,1 %
Philippines: Mindanao	6,9 × 10⁻¹³	<0,1 %
Government of Philippines - Civilians	6,9 × 10⁻¹³	<0,1 %
IS - Naparama	6,9 × 10⁻¹³	<0,1 %
India: Western South East Asia	6,8 × 10⁻¹³	<0,1 %
Birom - Fulani	5,8 × 10⁻¹³	<0,1 %
DR Congo (Zaire): Katanga	5,2 × 10⁻¹³	<0,1 %
Government of Uganda - Civilians	5,2 × 10⁻¹³	<0,1 %
Twiganeho - Civilians	5,2 × 10⁻¹³	<0,1 %
AFC - VDP	5,2 × 10⁻¹³	<0,1 %
Atyap - Fulani	5,0 × 10⁻¹³	<0,1 %
Karimjo - Wurukum	4,7 × 10⁻¹³	<0,1 %
Black Axe - Eyie	4,5 × 10⁻¹³	<0,1 %
Forces of Terwase Akwanza - Civilians	3,9 × 10⁻¹³	<0,1 %
Fulani - Idoma	3,6 × 10⁻¹³	<0,1 %
Fulani - Kuteb	3,4 × 10⁻¹³	<0,1 %
VHP - Civilians	3,4 × 10⁻¹³	<0,1 %
Gulf Cartel - Sinaloa Cartel	3,4 × 10⁻¹³	<0,1 %
Gulf Cartel - Jalisco Cartel New Generation	3,4 × 10⁻¹³	<0,1 %
Government of Mozambique - Civilians	3,0 × 10⁻¹³	<0,1 %
Government of Nigeria - Civilians	2,4 × 10⁻¹³	<0,1 %
Chain Guys - Full Force	2,0 × 10⁻¹³	<0,1 %
Benin: Government	1,9 × 10⁻¹³	<0,1 %
Kusasi - Mamprusi	1,8 × 10⁻¹³	<0,1 %
India - Pakistan	1,7 × 10⁻¹³	<0,1 %
India: Nagaland	1,7 × 10⁻¹³	<0,1 %
NSCN-IM - Civilians	1,7 × 10⁻¹³	<0,1 %
PLFI - Civilians	1,7 × 10⁻¹³	<0,1 %
Myanmar (Burma): Shan	1,6 × 10⁻¹³	<0,1 %
Los Lobos - R7	1,4 × 10⁻¹³	<0,1 %
Hausa - Fulani	1,1 × 10⁻¹³	<0,1 %
Fulani - Irigwe	8,1 × 10⁻¹⁴	<0,1 %
ARSA - Civilians	8,0 × 10⁻¹⁴	<0,1 %
Fulani - Igala	6,8 × 10⁻¹⁴	<0,1 %
Patani insurgents - Civilians	6,4 × 10⁻¹⁴	<0,1 %
Greenlanders - NDV	6,1 × 10⁻¹⁴	<0,1 %
Black Axe - Maphite	6,1 × 10⁻¹⁴	<0,1 %
Guerreros Unidos - Los Tlacos	5,6 × 10⁻¹⁴	<0,1 %
Supporters of APC - Supporters of PDP	4,1 × 10⁻¹⁴	<0,1 %
Black Axe - SVC	3,4 × 10⁻¹⁴	<0,1 %
IPOB - Civilians	3,4 × 10⁻¹⁴	<0,1 %
Agatu - Fulani	2,7 × 10⁻¹⁴	<0,1 %
IS - Yan Gora	2,7 × 10⁻¹⁴	<0,1 %
Deebam - NDV	2,7 × 10⁻¹⁴	<0,1 %
Jukun - Tiv	1,4 × 10⁻¹⁴	<0,1 %
Suma	6,7 × 10⁻⁸	= la cifra principal, 6,7 × 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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