The full breakdown

How the figure for Passenger car tyre is built

Every stage the model passes through, with its number. Each table below divides the same headline figure a different way, and each one adds up to it exactly — the page checks, and refuses to show a table that does not.

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The headline

One item is one kilogram of passenger car tyre. Scenario Economic-embedded, using FIGARO 2023. Each figure is the middle result of 2,000 runs of the calculation, with the range that holds nine in ten of them beside it, and the grade that range earns.

Materials method — 5.2 × 10⁻¹⁰ per item(0.27–1.1 × 10⁻⁹)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r

Money method — 1.9 × 10⁻⁶ per €1,000 spent in its industry(1.2–2.9 × 10⁻⁶)MEDIUMS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r

Each step below is a middle estimate. The model works out a range for the whole figure, not for each step, so the range that applies to a step is the headline’s.

1 · What it is made of, and what each material carries

How much of each raw material is in one item, the deaths linked to each kilogram of it in this calculation, and the two multiplied together: its part of the headline figure.

1 · What it is made of, and what each material carries
Material	Per item	Deaths per kg	Part of the figure	Share
Iron ore	1.9 × 10⁻⁴ t	1.9 × 10⁻⁹	3.5 × 10⁻¹⁰	67%
Coal and lignite	9.8 × 10⁻⁵ t	1.7 × 10⁻⁹	1.7 × 10⁻¹⁰	33%
Total			5.2 × 10⁻¹⁰	= the headline figure, 5.2 × 10⁻¹⁰

2 · Where the harm was counted

The same headline, by the country where the harm the materials carry was counted.

2 · Where the harm was counted
Country	Part of the figure	Share
Ukraine	4.6 × 10⁻¹⁰	89%
Brazil	1.9 × 10⁻¹¹	3.7%
Turkiye	9.4 × 10⁻¹²	1.8%
Mexico	7.2 × 10⁻¹²	1.4%
Australia	4.3 × 10⁻¹²	0.82%
United States	3.8 × 10⁻¹²	0.73%
India	2.6 × 10⁻¹²	0.50%
Russian Federation	2.4 × 10⁻¹²	0.46%
Colombia	1.6 × 10⁻¹²	0.31%
Canada	1.5 × 10⁻¹²	0.30%
Germany	7.6 × 10⁻¹³	0.15%
Sweden	6.5 × 10⁻¹³	0.12%
Mongolia	5.3 × 10⁻¹³	0.10%
Mozambique	5.0 × 10⁻¹³	<0.1%
Poland	4.9 × 10⁻¹³	<0.1%
Bulgaria	3.9 × 10⁻¹³	<0.1%
Indonesia	3.7 × 10⁻¹³	<0.1%
Czechia	3.2 × 10⁻¹³	<0.1%
Pakistan	2.7 × 10⁻¹³	<0.1%
Mauritania	2.7 × 10⁻¹³	<0.1%
Thailand	2.3 × 10⁻¹³	<0.1%
Greece	1.8 × 10⁻¹³	<0.1%
Myanmar	1.8 × 10⁻¹³	<0.1%
Philippines	1.8 × 10⁻¹³	<0.1%
Romania	1.5 × 10⁻¹³	<0.1%
Niger	1.2 × 10⁻¹³	<0.1%
Ethiopia	1.2 × 10⁻¹³	<0.1%
Iran, Islamic Rep.	1.2 × 10⁻¹³	<0.1%
Nigeria	1.2 × 10⁻¹³	<0.1%
Afghanistan	1.1 × 10⁻¹³	<0.1%
Venezuela, RB	8.4 × 10⁻¹⁴	<0.1%
South Africa	6.2 × 10⁻¹⁴	<0.1%
Slovenia	4.9 × 10⁻¹⁴	<0.1%
Uzbekistan	4.5 × 10⁻¹⁴	<0.1%
Korea, Rep.	4.2 × 10⁻¹⁴	<0.1%
Hungary	3.8 × 10⁻¹⁴	<0.1%
Peru	3.3 × 10⁻¹⁴	<0.1%
Japan	2.1 × 10⁻¹⁴	<0.1%
Slovak Republic	1.8 × 10⁻¹⁴	<0.1%
Georgia	1.4 × 10⁻¹⁴	<0.1%
China	4.7 × 10⁻¹⁵	<0.1%
Eswatini	2.2 × 10⁻¹⁵	<0.1%
Bangladesh	2.9 × 10⁻¹⁶	<0.1%
Argentina	9.8 × 10⁻¹⁷	<0.1%
Norway	5.8 × 10⁻¹⁷	<0.1%
Armenia	2.0 × 10⁻¹⁸	<0.1%
Total	5.2 × 10⁻¹⁰	= the headline figure, 5.2 × 10⁻¹⁰

3 · Through which kind of harm

The same headline, by kind of harm: war, work, poverty, pollution.

3 · Through which kind of harm
Kind of harm	Part of the figure	Share
Conflict and political violence	4.9 × 10⁻¹⁰	95%
Work	2.5 × 10⁻¹¹	4.9%
Total	5.2 × 10⁻¹⁰	= the headline figure, 5.2 × 10⁻¹⁰

4 · Which wars

The war deaths in the headline, by war. Harm of any other kind is the row that names no war.

4 · Which wars
War	Part of the figure	Share
Russia - Ukraine	4.6 × 10⁻¹⁰	88%
Not placed	2.5 × 10⁻¹¹	4.9%
Comando Vermelho - PCC	5.5 × 10⁻¹²	1.1%
Jalisco Cartel New Generation - Sinaloa Cartel	3.4 × 10⁻¹²	0.65%
Government of Russia (Soviet Union) - Civilians	2.9 × 10⁻¹²	0.56%
Bonde do Maluco - Comando Vermelho	2.0 × 10⁻¹²	0.39%
Cartel do Norte - Comando Vermelho	1.8 × 10⁻¹²	0.35%
Bonde dos 40 - PCC	1.3 × 10⁻¹²	0.25%
Jalisco Cartel New Generation - Santa Rosa de Lima Cartel	1.1 × 10⁻¹²	0.21%
Juarez Cartel - Sinaloa Cartel	9.8 × 10⁻¹³	0.19%
Comando Vermelho - GDE	9.8 × 10⁻¹³	0.19%
Nova Okaida - Estados Unidos	9.7 × 10⁻¹³	0.19%
GDE, PCC - Sindicato do Crime	9.5 × 10⁻¹³	0.18%
PCC - Sindicato do Crime	8.5 × 10⁻¹³	0.16%
Amigos Para Sempre - Família Terror Amapá	8.4 × 10⁻¹³	0.16%
India: Kashmir	7.7 × 10⁻¹³	0.15%
Carteles Unidos - Jalisco Cartel New Generation	7.4 × 10⁻¹³	0.14%
Comando Vermelho - Civilians	7.0 × 10⁻¹³	0.13%
Kuki - Meitei	6.6 × 10⁻¹³	0.13%
India: Government	6.2 × 10⁻¹³	0.12%
Bonde dos 13, PCC - Comando Vermelho	5.0 × 10⁻¹³	<0.1%
Bonde dos 40 - Comando Vermelho	5.0 × 10⁻¹³	<0.1%
Turkey: Kurdistan	4.4 × 10⁻¹³	<0.1%
Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos	4.2 × 10⁻¹³	<0.1%
Comando Vermelho - Holanda	3.6 × 10⁻¹³	<0.1%
Mozambique: Islamic State	3.2 × 10⁻¹³	<0.1%
CPI-Maoist - Civilians	2.8 × 10⁻¹³	<0.1%
Mauritania: Government	2.7 × 10⁻¹³	<0.1%
Comando Vermelho - Massa	2.7 × 10⁻¹³	<0.1%
Nova Okaida - PCC	2.6 × 10⁻¹³	<0.1%
Bonde do Maluco - Katiara	2.5 × 10⁻¹³	<0.1%
Bonde do Maluco - Civilians	2.5 × 10⁻¹³	<0.1%
Indonesia: West Papua	2.3 × 10⁻¹³	<0.1%
Pakistan: Government	2.0 × 10⁻¹³	<0.1%
Bonde dos 40 - Civilians	1.9 × 10⁻¹³	<0.1%
Russia (Soviet Union): Government	1.9 × 10⁻¹³	<0.1%
EGC - Civilians	1.9 × 10⁻¹³	<0.1%
Comando Vermelho - Terceiro Comando Puro	1.9 × 10⁻¹³	<0.1%
Cartel Independiente de Acapulco - Los Rusos, UPOEG	1.9 × 10⁻¹³	<0.1%
IS - Civilians	1.8 × 10⁻¹³	<0.1%
PCC - Civilians	1.4 × 10⁻¹³	<0.1%
Ajeita - Bonde do Maluco	1.2 × 10⁻¹³	<0.1%
Kashmir insurgents - Civilians	1.2 × 10⁻¹³	<0.1%
Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos	1.2 × 10⁻¹³	<0.1%
Myanmar (Burma): Government	1.1 × 10⁻¹³	<0.1%
OPM - Civilians	1.1 × 10⁻¹³	<0.1%
Philippines: Government	1.1 × 10⁻¹³	<0.1%
Carteles Unidos, Guerreros Unidos - Los Tlacos	1.1 × 10⁻¹³	<0.1%
FARC-EMC - Civilians	1.0 × 10⁻¹³	<0.1%
Iran: Government	9.8 × 10⁻¹⁴	<0.1%
Government of Brazil - Civilians	9.3 × 10⁻¹⁴	<0.1%
Anti-Bala - Bala na Cara	8.5 × 10⁻¹⁴	<0.1%
Los Ardillos - Los Tlacos	7.8 × 10⁻¹⁴	<0.1%
Bonde dos 40 - PCM	7.8 × 10⁻¹⁴	<0.1%
Government of Venezuela - Civilians	6.8 × 10⁻¹⁴	<0.1%
FARC-EMC - ELN	6.5 × 10⁻¹⁴	<0.1%
Ethiopia: Government/Amhara	6.3 × 10⁻¹⁴	<0.1%
Jalisco Cartel New Generation - Zetas Vieja Escuela	5.6 × 10⁻¹⁴	<0.1%
Niger: Islamic State	5.5 × 10⁻¹⁴	<0.1%
IS - Naparama	5.4 × 10⁻¹⁴	<0.1%
Philippines: Islamic State	5.3 × 10⁻¹⁴	<0.1%
Hindus (India) - Muslims (India)	5.2 × 10⁻¹⁴	<0.1%
ELN - Civilians	5.1 × 10⁻¹⁴	<0.1%
Afghanistan: Islamic State	4.8 × 10⁻¹⁴	<0.1%
Nigeria: Islamic State	4.6 × 10⁻¹⁴	<0.1%
Government of India - Civilians	4.5 × 10⁻¹⁴	<0.1%
FARC - Segunda Marquetalia - Civilians	4.3 × 10⁻¹⁴	<0.1%
Colombia: Government	3.9 × 10⁻¹⁴	<0.1%
CATA - Codeta	3.7 × 10⁻¹⁴	<0.1%
Government of Myanmar (Burma) - Civilians	3.5 × 10⁻¹⁴	<0.1%
Los Costenos - Los Pepes	3.4 × 10⁻¹⁴	<0.1%
Peru: Government	3.3 × 10⁻¹⁴	<0.1%
EGC - ELN, FARC-EMC	3.3 × 10⁻¹⁴	<0.1%
EGC - ELN	3.2 × 10⁻¹⁴	<0.1%
Government of Indonesia - Civilians	2.7 × 10⁻¹⁴	<0.1%
India: Western South East Asia	2.6 × 10⁻¹⁴	<0.1%
Pakistan: Balochistan	2.5 × 10⁻¹⁴	<0.1%
Government of South Africa - Civilians	2.5 × 10⁻¹⁴	<0.1%
Government of Mozambique - Civilians	2.4 × 10⁻¹⁴	<0.1%
Ethiopia: Oromiya	2.3 × 10⁻¹⁴	<0.1%
Myanmar (Burma): Kachin	2.2 × 10⁻¹⁴	<0.1%
Pakistan: Islamic State	2.0 × 10⁻¹⁴	<0.1%
Afghanistan: Government	1.7 × 10⁻¹⁴	<0.1%
Los Rusos, UPOEG - Los Tlacos	1.6 × 10⁻¹⁴	<0.1%
Jalisco Cartel New Generation - Civilians	1.5 × 10⁻¹⁴	<0.1%
EGC - Autodefensas Conquistadoras de la Sierra Nevada	1.4 × 10⁻¹⁴	<0.1%
Jalisco Cartel New Generation - Pájaros Sierra	1.4 × 10⁻¹⁴	<0.1%
VHP - Civilians	1.3 × 10⁻¹⁴	<0.1%
Government of Afghanistan - Civilians	1.3 × 10⁻¹⁴	<0.1%
Government of Mexico - Civilians	1.1 × 10⁻¹⁴	<0.1%
Government of Colombia - Civilians	1.1 × 10⁻¹⁴	<0.1%
Thailand: Patani	1.1 × 10⁻¹⁴	<0.1%
Myanmar (Burma): Karen	1.1 × 10⁻¹⁴	<0.1%
IS - JAS	1.1 × 10⁻¹⁴	<0.1%
Nigeria: Government	1.1 × 10⁻¹⁴	<0.1%
Iran: Islamic State	1.1 × 10⁻¹⁴	<0.1%
Niger: Government	1.1 × 10⁻¹⁴	<0.1%
CPP - Civilians	1.1 × 10⁻¹⁴	<0.1%
Russia: Islamic State	9.9 × 10⁻¹⁵	<0.1%
Los Ardillos - Los Rojos	9.8 × 10⁻¹⁵	<0.1%
Government of Ethiopia - Civilians	9.5 × 10⁻¹⁵	<0.1%
Gulf Cartel - Los Zetas - Cártel del Noreste faction	9.2 × 10⁻¹⁵	<0.1%
Myanmar (Burma): Karenni	8.8 × 10⁻¹⁵	<0.1%
PKK - Civilians	8.3 × 10⁻¹⁵	<0.1%
Government of Iran - Civilians	8.2 × 10⁻¹⁵	<0.1%
Amigos dos Amigos - Comando Vermelho	7.8 × 10⁻¹⁵	<0.1%
FDN - PCC	7.8 × 10⁻¹⁵	<0.1%
OLA - Civilians	7.4 × 10⁻¹⁵	<0.1%
Shia (Pakistan) - Sunni (Pakistan)	6.7 × 10⁻¹⁵	<0.1%
Fano - Civilians	6.6 × 10⁻¹⁵	<0.1%
India - Pakistan	6.4 × 10⁻¹⁵	<0.1%
India: Nagaland	6.4 × 10⁻¹⁵	<0.1%
NSCN-IM - Civilians	6.4 × 10⁻¹⁵	<0.1%
PLFI - Civilians	6.4 × 10⁻¹⁵	<0.1%
Fulani - Mwaghavul	6.4 × 10⁻¹⁵	<0.1%
Anuak - Nuer	6.4 × 10⁻¹⁵	<0.1%
Djerma (Zherma) - Fulani	6.1 × 10⁻¹⁵	<0.1%
Fulani - Mwaghavul , Ron	5.9 × 10⁻¹⁵	<0.1%
Fulani - Tiv	5.7 × 10⁻¹⁵	<0.1%
JNIM - Civilians	5.2 × 10⁻¹⁵	<0.1%
Comandos de la Frontera - Civilians	5.1 × 10⁻¹⁵	<0.1%
Afghanistan - Pakistan	4.9 × 10⁻¹⁵	<0.1%
Farmers (Nigeria) - Herders (Nigeria)	4.8 × 10⁻¹⁵	<0.1%
Myanmar (Burma): Arakan	4.7 × 10⁻¹⁵	<0.1%
JAS - Civilians	4.5 × 10⁻¹⁵	<0.1%
Russia (Soviet Union): Chechnya	4.0 × 10⁻¹⁵	<0.1%
Autodefensas Conquistadoras de la Sierra Nevada - Civilians	3.8 × 10⁻¹⁵	<0.1%
Nigeria: Biafra	3.5 × 10⁻¹⁵	<0.1%
Gulf Cartel - Sinaloa Cartel	3.3 × 10⁻¹⁵	<0.1%
Gulf Cartel - Jalisco Cartel New Generation	3.3 × 10⁻¹⁵	<0.1%
Myanmar (Burma): Kokang	2.9 × 10⁻¹⁵	<0.1%
BRAS - Civilians	2.8 × 10⁻¹⁵	<0.1%
Birom - Fulani	2.6 × 10⁻¹⁵	<0.1%
Los Costenos - Civilians	2.5 × 10⁻¹⁵	<0.1%
Atyap - Fulani	2.2 × 10⁻¹⁵	<0.1%
Government of eSwatini (Swaziland) - Civilians	2.2 × 10⁻¹⁵	<0.1%
Karimjo - Wurukum	2.1 × 10⁻¹⁵	<0.1%
Black Axe - Eyie	2.0 × 10⁻¹⁵	<0.1%
Forces of Terwase Akwanza - Civilians	1.7 × 10⁻¹⁵	<0.1%
Amhara - Oromo	1.7 × 10⁻¹⁵	<0.1%
Fulani - Idoma	1.6 × 10⁻¹⁵	<0.1%
TTP - Civilians	1.6 × 10⁻¹⁵	<0.1%
Fulani - Kuteb	1.5 × 10⁻¹⁵	<0.1%
Government of Pakistan - Civilians	1.4 × 10⁻¹⁵	<0.1%
Philippines: Mindanao	1.3 × 10⁻¹⁵	<0.1%
Government of Philippines - Civilians	1.3 × 10⁻¹⁵	<0.1%
Government of Nigeria - Civilians	1.1 × 10⁻¹⁵	<0.1%
Chain Guys - Full Force	9.0 × 10⁻¹⁶	<0.1%
NUG - Civilians	8.8 × 10⁻¹⁶	<0.1%
Guraghe - Mareqo	7.5 × 10⁻¹⁶	<0.1%
Guerreros Unidos - Los Tlacos	5.4 × 10⁻¹⁶	<0.1%
Hausa - Fulani	5.1 × 10⁻¹⁶	<0.1%
Murle - Nuer	5.0 × 10⁻¹⁶	<0.1%
Patani insurgents - Civilians	3.8 × 10⁻¹⁶	<0.1%
Fulani - Irigwe	3.6 × 10⁻¹⁶	<0.1%
Somalia: Government	3.0 × 10⁻¹⁶	<0.1%
Fulani - Igala	3.0 × 10⁻¹⁶	<0.1%
ARSA - Civilians	2.8 × 10⁻¹⁶	<0.1%
Greenlanders - NDV	2.7 × 10⁻¹⁶	<0.1%
Black Axe - Maphite	2.7 × 10⁻¹⁶	<0.1%
LeJ - Civilians	2.3 × 10⁻¹⁶	<0.1%
Supporters of APC - Supporters of PDP	1.8 × 10⁻¹⁶	<0.1%
Amhara - Gumuz	1.5 × 10⁻¹⁶	<0.1%
Black Axe - SVC	1.5 × 10⁻¹⁶	<0.1%
IPOB - Civilians	1.5 × 10⁻¹⁶	<0.1%
Agatu - Fulani	1.2 × 10⁻¹⁶	<0.1%
IS - Yan Gora	1.2 × 10⁻¹⁶	<0.1%
Deebam - NDV	1.2 × 10⁻¹⁶	<0.1%
Myanmar (Burma): Shan	1.2 × 10⁻¹⁶	<0.1%
Jukun - Tiv	6.0 × 10⁻¹⁷	<0.1%
Supporters of Awami League - Supporters of BNP	4.8 × 10⁻¹⁷	<0.1%
Cameroon: Ambazonia	3.0 × 10⁻¹⁷	<0.1%
Ambazonia insurgents - Civilians	3.0 × 10⁻¹⁷	<0.1%
Supporters of Awami League - Supporters of Jamaat-e-Islami	2.4 × 10⁻¹⁷	<0.1%
Azerbaijan: Artsakh (Nagorno-Karabakh)	2.0 × 10⁻¹⁸	<0.1%
Total	5.2 × 10⁻¹⁰	= the headline figure, 5.2 × 10⁻¹⁰

5 · The money method: which industries

The figure per €1,000, by the industry where the harm happened, anywhere in the supply chain.

5 · The money method: which industries
Industry	Part of the figure	Share
Mining and quarrying	1.4 × 10⁻⁶	71%
Crop and animal production, hunting and related service activities	1.3 × 10⁻⁷	6.9%
Manufacture of basic metals	7.0 × 10⁻⁸	3.7%
Land transport and transport via pipelines	6.3 × 10⁻⁸	3.3%
Manufacture of rubber and plastic products	5.2 × 10⁻⁸	2.7%
Forestry and logging	5.0 × 10⁻⁸	2.6%
Water transport	4.5 × 10⁻⁸	2.4%
Warehousing and support activities for transportation	3.0 × 10⁻⁸	1.6%
Air transport	1.8 × 10⁻⁸	0.97%
Manufacture of chemicals and chemical products	1.4 × 10⁻⁸	0.72%
Wholesale trade, except of motor vehicles and motorcycles	1.4 × 10⁻⁸	0.72%
Manufacture of fabricated metal products, except machinery and equipment	5.8 × 10⁻⁹	0.31%
Retail trade, except of motor vehicles and motorcycles	5.1 × 10⁻⁹	0.27%
Postal and courier activities	4.5 × 10⁻⁹	0.24%
Manufacture of coke and refined petroleum products	4.3 × 10⁻⁹	0.22%
Construction	4.0 × 10⁻⁹	0.21%
Manufacture of other transport equipment	3.3 × 10⁻⁹	0.17%
Electricity, gas, steam and air conditioning supply	2.8 × 10⁻⁹	0.15%
Security and investigation, service and landscape, office administrative and support activities	2.7 × 10⁻⁹	0.14%
Sewerage, waste management, remediation activities	2.5 × 10⁻⁹	0.13%
Water collection, treatment and supply	2.4 × 10⁻⁹	0.12%
Employment activities	1.9 × 10⁻⁹	0.10%
Rental and leasing activities	1.8 × 10⁻⁹	<0.1%
Public administration and defence; compulsory social security	1.5 × 10⁻⁹	<0.1%
Manufacture of paper and paper products	1.0 × 10⁻⁹	<0.1%
Manufacture of textiles, wearing apparel, leather and related products	9.8 × 10⁻¹⁰	<0.1%
Legal and accounting activities; activities of head offices; management consultancy activities	9.8 × 10⁻¹⁰	<0.1%
Wholesale and retail trade and repair of motor vehicles and motorcycles	9.7 × 10⁻¹⁰	<0.1%
Manufacture of machinery and equipment n.e.c.	8.3 × 10⁻¹⁰	<0.1%
Accommodation and food service activities	7.5 × 10⁻¹⁰	<0.1%
Manufacture of food products; beverages and tobacco products	7.3 × 10⁻¹⁰	<0.1%
Manufacture of other non-metallic mineral products	7.2 × 10⁻¹⁰	<0.1%
Manufacture of computer, electronic and optical products	6.9 × 10⁻¹⁰	<0.1%
Manufacture of motor vehicles, trailers and semi-trailers	5.7 × 10⁻¹⁰	<0.1%
Manufacture of electrical equipment	4.8 × 10⁻¹⁰	<0.1%
Repair and installation of machinery and equipment	4.1 × 10⁻¹⁰	<0.1%
Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials	3.4 × 10⁻¹⁰	<0.1%
Real estate activities	3.1 × 10⁻¹⁰	<0.1%
Architectural and engineering activities; technical testing and analysis	3.0 × 10⁻¹⁰	<0.1%
Human health activities	2.9 × 10⁻¹⁰	<0.1%
Manufacture of basic pharmaceutical products and pharmaceutical preparations	2.5 × 10⁻¹⁰	<0.1%
Travel agency, tour operator reservation service and related activities	2.5 × 10⁻¹⁰	<0.1%
Repair of computers and personal and household goods	2.4 × 10⁻¹⁰	<0.1%
Advertising and market research	2.4 × 10⁻¹⁰	<0.1%
Computer programming, consultancy, and information service activities	2.2 × 10⁻¹⁰	<0.1%
Activities of membership organisations	1.9 × 10⁻¹⁰	<0.1%
Printing and reproduction of recorded media	1.9 × 10⁻¹⁰	<0.1%
Other personal service activities	1.8 × 10⁻¹⁰	<0.1%
Financial service activities, except insurance and pension funding	1.7 × 10⁻¹⁰	<0.1%
Manufacture of furniture; other manufacturing	1.6 × 10⁻¹⁰	<0.1%
Other professional, scientific and technical activities; veterinary activities	1.4 × 10⁻¹⁰	<0.1%
Fishing and aquaculture	1.3 × 10⁻¹⁰	<0.1%
Sports activities and amusement and recreation activities	1.2 × 10⁻¹⁰	<0.1%
Telecommunications	1.1 × 10⁻¹⁰	<0.1%
Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities	1.0 × 10⁻¹⁰	<0.1%
Education	6.7 × 10⁻¹¹	<0.1%
Motion picture, video, television programme production; programming and broadcasting activities	5.1 × 10⁻¹¹	<0.1%
Insurance, reinsurance and pension funding, except compulsory social security	4.1 × 10⁻¹¹	<0.1%
Publishing activities	4.1 × 10⁻¹¹	<0.1%
Activities auxiliary to financial services and insurance activities	4.0 × 10⁻¹¹	<0.1%
Scientific research and development	2.8 × 10⁻¹¹	<0.1%
Residential care activities and social work activities without accommodation	2.1 × 10⁻¹¹	<0.1%
Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use	3.0 × 10⁻¹²	<0.1%
Total	1.9 × 10⁻⁶	= the headline figure, 1.9 × 10⁻⁶

6 · The money method: which countries

The figure per €1,000, by the country of the industry where the harm happened.

6 · The money method: which countries
Country	Part of the figure	Share
Not placed	1.6 × 10⁻⁶	86%
Mexico	8.8 × 10⁻⁸	4.7%
Brazil	3.1 × 10⁻⁸	1.7%
United States	2.9 × 10⁻⁸	1.6%
Turkiye	2.7 × 10⁻⁸	1.4%
Russian Federation	2.1 × 10⁻⁸	1.1%
Korea, Rep.	1.4 × 10⁻⁸	0.73%
Japan	8.9 × 10⁻⁹	0.47%
Canada	8.9 × 10⁻⁹	0.47%
France	6.9 × 10⁻⁹	0.36%
Italy	5.2 × 10⁻⁹	0.27%
Germany	5.0 × 10⁻⁹	0.26%
India	4.3 × 10⁻⁹	0.22%
Poland	3.4 × 10⁻⁹	0.18%
Argentina	3.3 × 10⁻⁹	0.17%
Spain	3.1 × 10⁻⁹	0.16%
Indonesia	2.0 × 10⁻⁹	0.10%
Portugal	1.5 × 10⁻⁹	<0.1%
Romania	1.4 × 10⁻⁹	<0.1%
Czechia	1.3 × 10⁻⁹	<0.1%
Australia	1.1 × 10⁻⁹	<0.1%
Bulgaria	1.0 × 10⁻⁹	<0.1%
Austria	9.0 × 10⁻¹⁰	<0.1%
Hungary	6.8 × 10⁻¹⁰	<0.1%
Belgium	5.1 × 10⁻¹⁰	<0.1%
Lithuania	4.7 × 10⁻¹⁰	<0.1%
Greece	4.4 × 10⁻¹⁰	<0.1%
Netherlands	4.0 × 10⁻¹⁰	<0.1%
Sweden	3.9 × 10⁻¹⁰	<0.1%
Slovak Republic	3.6 × 10⁻¹⁰	<0.1%
Slovenia	3.3 × 10⁻¹⁰	<0.1%
Switzerland	3.2 × 10⁻¹⁰	<0.1%
Denmark	3.2 × 10⁻¹⁰	<0.1%
Finland	2.8 × 10⁻¹⁰	<0.1%
Croatia	2.7 × 10⁻¹⁰	<0.1%
Latvia	2.3 × 10⁻¹⁰	<0.1%
Ireland	2.2 × 10⁻¹⁰	<0.1%
Norway	2.2 × 10⁻¹⁰	<0.1%
Saudi Arabia	1.8 × 10⁻¹⁰	<0.1%
Luxembourg	1.2 × 10⁻¹⁰	<0.1%
Cyprus	9.8 × 10⁻¹¹	<0.1%
Estonia	9.3 × 10⁻¹¹	<0.1%
South Africa	7.2 × 10⁻¹¹	<0.1%
United Kingdom	6.5 × 10⁻¹¹	<0.1%
China	2.2 × 10⁻¹¹	<0.1%
Malta	1.1 × 10⁻¹¹	<0.1%
Serbia	3.3 × 10⁻¹⁴	<0.1%
Total	1.9 × 10⁻⁶	= the headline figure, 1.9 × 10⁻⁶

What this trail does not show

Each table is a separate way of dividing the figure. “Cobalt accounts for 40%” and “one country accounts for 60%” are two views of one figure, not a path through it: the calculation stores the figure divided each way on its own, not every combination of them.
A range belongs to the whole figure. A step’s number is only its middle estimate.
Production phase only. Harm from using the product — driving the car, charging the phone — is not in this figure.

Sources behind this figure

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HumanToll 2026, run 2259, methodology v1.0. https://quiescence.eu/humantoll/explain/car-tyre/

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