The full breakdown

How the figure for Petrol car 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 midsize petrol car of 1,385 kg. 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 — 1.4 × 10⁻⁴ per item(1.0–2.1 × 10⁻⁴)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r

Money method — 8.6 × 10⁻⁵ per €1,000 spent in its industry(0.58–1.3 × 10⁻⁴)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
Copper	0.034 t	1.5 × 10⁻⁶	5.0 × 10⁻⁵	37%
Iron ore	0.98 t	3.7 × 10⁻⁸	3.6 × 10⁻⁵	26%
Coal and lignite	0.51 t	5.9 × 10⁻⁸	3.0 × 10⁻⁵	22%
Bauxite	0.71 t	2.4 × 10⁻⁸	1.7 × 10⁻⁵	13%
Silica sand	0.024 t	1.3 × 10⁻⁷	3.2 × 10⁻⁶	2.3%
Total			1.4 × 10⁻⁴	= the headline figure, 1.4 × 10⁻⁴

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
Australia	3.1 × 10⁻⁵	23%
Turkiye	2.4 × 10⁻⁵	17%
Congo, Dem. Rep.	1.7 × 10⁻⁵	12%
United States	1.6 × 10⁻⁵	12%
Canada	9.6 × 10⁻⁶	7.0%
Germany	9.1 × 10⁻⁶	6.7%
Poland	7.9 × 10⁻⁶	5.8%
Ukraine	7.2 × 10⁻⁶	5.3%
Colombia	3.5 × 10⁻⁶	2.5%
Sweden	3.4 × 10⁻⁶	2.5%
Mexico	3.2 × 10⁻⁶	2.3%
Italy	7.6 × 10⁻⁷	0.56%
Czechia	7.6 × 10⁻⁷	0.56%
Netherlands	5.2 × 10⁻⁷	0.38%
Brazil	4.2 × 10⁻⁷	0.31%
France	4.2 × 10⁻⁷	0.30%
Spain	2.9 × 10⁻⁷	0.21%
Greece	2.7 × 10⁻⁷	0.20%
Slovenia	1.8 × 10⁻⁷	0.13%
Thailand	1.6 × 10⁻⁷	0.12%
Hungary	9.3 × 10⁻⁸	<0.1%
Bulgaria	6.2 × 10⁻⁸	<0.1%
India	5.3 × 10⁻⁸	<0.1%
Argentina	3.9 × 10⁻⁸	<0.1%
Japan	3.6 × 10⁻⁸	<0.1%
Belgium	2.7 × 10⁻⁸	<0.1%
Peru	2.5 × 10⁻⁸	<0.1%
Slovak Republic	2.5 × 10⁻⁸	<0.1%
Indonesia	2.3 × 10⁻⁸	<0.1%
Romania	2.1 × 10⁻⁸	<0.1%
Finland	2.0 × 10⁻⁸	<0.1%
Austria	1.8 × 10⁻⁸	<0.1%
Mongolia	1.7 × 10⁻⁸	<0.1%
Russian Federation	1.6 × 10⁻⁸	<0.1%
Mozambique	7.8 × 10⁻⁹	<0.1%
Moldova	5.3 × 10⁻⁹	<0.1%
Pakistan	4.3 × 10⁻⁹	<0.1%
Mauritania	4.3 × 10⁻⁹	<0.1%
Latvia	2.9 × 10⁻⁹	<0.1%
Myanmar	2.8 × 10⁻⁹	<0.1%
Philippines	2.8 × 10⁻⁹	<0.1%
Niger	1.9 × 10⁻⁹	<0.1%
Ethiopia	1.9 × 10⁻⁹	<0.1%
Iran, Islamic Rep.	1.8 × 10⁻⁹	<0.1%
Nigeria	1.8 × 10⁻⁹	<0.1%
Venezuela, RB	1.7 × 10⁻⁹	<0.1%
Afghanistan	1.7 × 10⁻⁹	<0.1%
South Africa	9.8 × 10⁻¹⁰	<0.1%
Georgia	8.5 × 10⁻¹⁰	<0.1%
Uzbekistan	7.9 × 10⁻¹⁰	<0.1%
Norway	5.4 × 10⁻¹⁰	<0.1%
China	1.4 × 10⁻¹⁰	<0.1%
Saudi Arabia	1.0 × 10⁻¹⁰	<0.1%
Guatemala	3.6 × 10⁻¹¹	<0.1%
Eswatini	3.4 × 10⁻¹¹	<0.1%
Bangladesh	4.5 × 10⁻¹²	<0.1%
Egypt, Arab Rep.	1.2 × 10⁻¹²	<0.1%
Armenia	3.2 × 10⁻¹⁴	<0.1%
Total	1.4 × 10⁻⁴	= the headline figure, 1.4 × 10⁻⁴

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
Work	1.1 × 10⁻⁴	80%
Conflict and political violence	2.8 × 10⁻⁵	20%
Total	1.4 × 10⁻⁴	= the headline figure, 1.4 × 10⁻⁴

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
Not placed	1.1 × 10⁻⁴	80%
Russia - Ukraine	7.2 × 10⁻⁶	5.3%
IS - Civilians	4.6 × 10⁻⁶	3.4%
URDPC - Civilians	3.0 × 10⁻⁶	2.2%
Lengola - Mbole	1.9 × 10⁻⁶	1.4%
Jalisco Cartel New Generation - Sinaloa Cartel	1.6 × 10⁻⁶	1.1%
DR Congo (Zaire): Islamic State	1.4 × 10⁻⁶	0.99%
M23 - VDP	8.4 × 10⁻⁷	0.61%
Mobondo - Civilians	8.1 × 10⁻⁷	0.59%
DR Congo (Zaire): Government	6.6 × 10⁻⁷	0.48%
M23 - Civilians	6.5 × 10⁻⁷	0.47%
Rwanda: Government	5.7 × 10⁻⁷	0.42%
Government of DR Congo (Zaire) - Civilians	5.3 × 10⁻⁷	0.39%
Jalisco Cartel New Generation - Santa Rosa de Lima Cartel	4.6 × 10⁻⁷	0.34%
Juarez Cartel - Sinaloa Cartel	4.2 × 10⁻⁷	0.30%
Government of Rwanda - Civilians	3.2 × 10⁻⁷	0.23%
Carteles Unidos - Jalisco Cartel New Generation	3.1 × 10⁻⁷	0.23%
URDPC - Zaire self-defense group	2.7 × 10⁻⁷	0.20%
Zaire self-defense group - Civilians	2.4 × 10⁻⁷	0.17%
VDP - Civilians	2.3 × 10⁻⁷	0.17%
Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos	1.8 × 10⁻⁷	0.13%
FPIC Chambre noire sanduku - URDPC	1.7 × 10⁻⁷	0.13%
FPIC Chambre noire sanduku - Civilians	1.7 × 10⁻⁷	0.13%
AFC - Civilians	1.2 × 10⁻⁷	<0.1%
Comando Vermelho - PCC	1.2 × 10⁻⁷	<0.1%
AFP-Gutabara - CNPSC, FABB	1.2 × 10⁻⁷	<0.1%
Cartel Independiente de Acapulco - Los Rusos, UPOEG	7.9 × 10⁻⁸	<0.1%
Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos	5.0 × 10⁻⁸	<0.1%
Carteles Unidos, Guerreros Unidos - Los Tlacos	4.5 × 10⁻⁸	<0.1%
Government of Russia (Soviet Union) - Civilians	4.5 × 10⁻⁸	<0.1%
Bonde do Maluco - Comando Vermelho	4.4 × 10⁻⁸	<0.1%
AFP-Gutabara - FABB	4.3 × 10⁻⁸	<0.1%
Cartel do Norte - Comando Vermelho	4.0 × 10⁻⁸	<0.1%
FRPI - Civilians	3.5 × 10⁻⁸	<0.1%
Los Ardillos - Los Tlacos	3.3 × 10⁻⁸	<0.1%
Bonde dos 40 - PCC	2.8 × 10⁻⁸	<0.1%
Burundi: Government	2.7 × 10⁻⁸	<0.1%
Peru: Government	2.5 × 10⁻⁸	<0.1%
Jalisco Cartel New Generation - Zetas Vieja Escuela	2.4 × 10⁻⁸	<0.1%
Basonge - Bena Nkoma (Bakwa Luntu, Luba)	2.3 × 10⁻⁸	<0.1%
Comando Vermelho - GDE	2.1 × 10⁻⁸	<0.1%
Nova Okaida - Estados Unidos	2.1 × 10⁻⁸	<0.1%
GDE, PCC - Sindicato do Crime	2.1 × 10⁻⁸	<0.1%
FDLR-FOCA - Civilians	1.9 × 10⁻⁸	<0.1%
FPIC Chambre noire sanduku - FRPI	1.9 × 10⁻⁸	<0.1%
PCC - Sindicato do Crime	1.8 × 10⁻⁸	<0.1%
Amigos Para Sempre - Família Terror Amapá	1.8 × 10⁻⁸	<0.1%
Mayi Mayi Chini ya Tuna - Civilians	1.6 × 10⁻⁸	<0.1%
India: Kashmir	1.5 × 10⁻⁸	<0.1%
Comando Vermelho - Civilians	1.5 × 10⁻⁸	<0.1%
Indonesia: West Papua	1.4 × 10⁻⁸	<0.1%
Kuki - Meitei	1.3 × 10⁻⁸	<0.1%
India: Government	1.2 × 10⁻⁸	<0.1%
South Sudan: Government	1.2 × 10⁻⁸	<0.1%
Luba - Batwa	1.2 × 10⁻⁸	<0.1%
Bonde dos 13, PCC - Comando Vermelho	1.1 × 10⁻⁸	<0.1%
Bonde dos 40 - Comando Vermelho	1.1 × 10⁻⁸	<0.1%
Turkey: Kurdistan	1.0 × 10⁻⁸	<0.1%
Russia (Soviet Union): Government	8.5 × 10⁻⁹	<0.1%
Comando Vermelho - Holanda	7.8 × 10⁻⁹	<0.1%
Los Rusos, UPOEG - Los Tlacos	6.9 × 10⁻⁹	<0.1%
OPM - Civilians	6.7 × 10⁻⁹	<0.1%
Jalisco Cartel New Generation - Civilians	6.2 × 10⁻⁹	<0.1%
Comando Vermelho - Massa	5.9 × 10⁻⁹	<0.1%
Jalisco Cartel New Generation - Pájaros Sierra	5.8 × 10⁻⁹	<0.1%
Nova Okaida - PCC	5.7 × 10⁻⁹	<0.1%
CPI-Maoist - Civilians	5.6 × 10⁻⁹	<0.1%
Bonde do Maluco - Katiara	5.4 × 10⁻⁹	<0.1%
Bonde do Maluco - Civilians	5.4 × 10⁻⁹	<0.1%
Mozambique: Islamic State	5.0 × 10⁻⁹	<0.1%
Government of Mexico - Civilians	4.8 × 10⁻⁹	<0.1%
Mauritania: Government	4.3 × 10⁻⁹	<0.1%
Bonde dos 40 - Civilians	4.2 × 10⁻⁹	<0.1%
Los Ardillos - Los Rojos	4.2 × 10⁻⁹	<0.1%
Comando Vermelho - Terceiro Comando Puro	4.1 × 10⁻⁹	<0.1%
Gulf Cartel - Los Zetas - Cártel del Noreste faction	3.9 × 10⁻⁹	<0.1%
DR Congo (Zaire): Katanga	3.9 × 10⁻⁹	<0.1%
Government of Uganda - Civilians	3.9 × 10⁻⁹	<0.1%
Government of Burundi - Civilians	3.9 × 10⁻⁹	<0.1%
Twiganeho - Civilians	3.9 × 10⁻⁹	<0.1%
AFC - VDP	3.9 × 10⁻⁹	<0.1%
Pakistan: Government	3.2 × 10⁻⁹	<0.1%
EGC - Civilians	3.0 × 10⁻⁹	<0.1%
PCC - Civilians	3.0 × 10⁻⁹	<0.1%
Ajeita - Bonde do Maluco	2.7 × 10⁻⁹	<0.1%
Kashmir insurgents - Civilians	2.5 × 10⁻⁹	<0.1%
Government of Brazil - Civilians	2.0 × 10⁻⁹	<0.1%
Anti-Bala - Bala na Cara	1.9 × 10⁻⁹	<0.1%
Myanmar (Burma): Government	1.8 × 10⁻⁹	<0.1%
Philippines: Government	1.7 × 10⁻⁹	<0.1%
Bonde dos 40 - PCM	1.7 × 10⁻⁹	<0.1%
Government of Indonesia - Civilians	1.7 × 10⁻⁹	<0.1%
FARC-EMC - Civilians	1.6 × 10⁻⁹	<0.1%
Iran: Government	1.5 × 10⁻⁹	<0.1%
Government of Venezuela - Civilians	1.4 × 10⁻⁹	<0.1%
Gulf Cartel - Sinaloa Cartel	1.4 × 10⁻⁹	<0.1%
Gulf Cartel - Jalisco Cartel New Generation	1.4 × 10⁻⁹	<0.1%
Hindus (India) - Muslims (India)	1.0 × 10⁻⁹	<0.1%
FARC-EMC - ELN	1.0 × 10⁻⁹	<0.1%
Ethiopia: Government/Amhara	9.9 × 10⁻¹⁰	<0.1%
Government of India - Civilians	9.1 × 10⁻¹⁰	<0.1%
Niger: Islamic State	8.6 × 10⁻¹⁰	<0.1%
IS - Naparama	8.5 × 10⁻¹⁰	<0.1%
ELN - Civilians	8.5 × 10⁻¹⁰	<0.1%
Philippines: Islamic State	8.2 × 10⁻¹⁰	<0.1%
Afghanistan: Islamic State	7.6 × 10⁻¹⁰	<0.1%
Nigeria: Islamic State	7.3 × 10⁻¹⁰	<0.1%
FARC - Segunda Marquetalia - Civilians	6.7 × 10⁻¹⁰	<0.1%
Colombia: Government	6.2 × 10⁻¹⁰	<0.1%
CATA - Codeta	5.9 × 10⁻¹⁰	<0.1%
Government of Myanmar (Burma) - Civilians	5.5 × 10⁻¹⁰	<0.1%
Los Costenos - Los Pepes	5.4 × 10⁻¹⁰	<0.1%
India: Western South East Asia	5.2 × 10⁻¹⁰	<0.1%
EGC - ELN, FARC-EMC	5.2 × 10⁻¹⁰	<0.1%
EGC - ELN	5.0 × 10⁻¹⁰	<0.1%
Russia: Islamic State	4.4 × 10⁻¹⁰	<0.1%
Myanmar (Burma): Kachin	4.1 × 10⁻¹⁰	<0.1%
Pakistan: Balochistan	4.0 × 10⁻¹⁰	<0.1%
Government of South Africa - Civilians	3.9 × 10⁻¹⁰	<0.1%
Government of Mozambique - Civilians	3.7 × 10⁻¹⁰	<0.1%
Ethiopia: Oromiya	3.6 × 10⁻¹⁰	<0.1%
Pakistan: Islamic State	3.1 × 10⁻¹⁰	<0.1%
Afghanistan: Government	2.7 × 10⁻¹⁰	<0.1%
VHP - Civilians	2.6 × 10⁻¹⁰	<0.1%
Guerreros Unidos - Los Tlacos	2.3 × 10⁻¹⁰	<0.1%
EGC - Autodefensas Conquistadoras de la Sierra Nevada	2.2 × 10⁻¹⁰	<0.1%
Government of Afghanistan - Civilians	2.0 × 10⁻¹⁰	<0.1%
PKK - Civilians	2.0 × 10⁻¹⁰	<0.1%
Government of Colombia - Civilians	1.8 × 10⁻¹⁰	<0.1%
Thailand: Patani	1.8 × 10⁻¹⁰	<0.1%
Myanmar (Burma): Karen	1.8 × 10⁻¹⁰	<0.1%
Russia (Soviet Union): Chechnya	1.8 × 10⁻¹⁰	<0.1%
IS - JAS	1.7 × 10⁻¹⁰	<0.1%
Nigeria: Government	1.7 × 10⁻¹⁰	<0.1%
Iran: Islamic State	1.7 × 10⁻¹⁰	<0.1%
Amigos dos Amigos - Comando Vermelho	1.7 × 10⁻¹⁰	<0.1%
FDN - PCC	1.7 × 10⁻¹⁰	<0.1%
Niger: Government	1.7 × 10⁻¹⁰	<0.1%
CPP - Civilians	1.7 × 10⁻¹⁰	<0.1%
Government of Ethiopia - Civilians	1.5 × 10⁻¹⁰	<0.1%
Myanmar (Burma): Karenni	1.4 × 10⁻¹⁰	<0.1%
India - Pakistan	1.3 × 10⁻¹⁰	<0.1%
India: Nagaland	1.3 × 10⁻¹⁰	<0.1%
NSCN-IM - Civilians	1.3 × 10⁻¹⁰	<0.1%
PLFI - Civilians	1.3 × 10⁻¹⁰	<0.1%
Government of Iran - Civilians	1.3 × 10⁻¹⁰	<0.1%
OLA - Civilians	1.2 × 10⁻¹⁰	<0.1%
Shia (Pakistan) - Sunni (Pakistan)	1.0 × 10⁻¹⁰	<0.1%
Yemen (North Yemen): Government	1.0 × 10⁻¹⁰	<0.1%
Fano - Civilians	1.0 × 10⁻¹⁰	<0.1%
Fulani - Mwaghavul	1.0 × 10⁻¹⁰	<0.1%
Anuak - Nuer	1.0 × 10⁻¹⁰	<0.1%
DZ Mafia - Yoda	9.8 × 10⁻¹¹	<0.1%
Djerma (Zherma) - Fulani	9.5 × 10⁻¹¹	<0.1%
Fulani - Mwaghavul , Ron	9.3 × 10⁻¹¹	<0.1%
Fulani - Tiv	8.9 × 10⁻¹¹	<0.1%
JNIM - Civilians	8.2 × 10⁻¹¹	<0.1%
Comandos de la Frontera - Civilians	7.9 × 10⁻¹¹	<0.1%
Afghanistan - Pakistan	7.7 × 10⁻¹¹	<0.1%
Farmers (Nigeria) - Herders (Nigeria)	7.6 × 10⁻¹¹	<0.1%
Myanmar (Burma): Arakan	7.4 × 10⁻¹¹	<0.1%
JAS - Civilians	7.0 × 10⁻¹¹	<0.1%
Autodefensas Conquistadoras de la Sierra Nevada - Civilians	6.0 × 10⁻¹¹	<0.1%
Nigeria: Biafra	5.4 × 10⁻¹¹	<0.1%
Myanmar (Burma): Kokang	4.5 × 10⁻¹¹	<0.1%
BRAS - Civilians	4.3 × 10⁻¹¹	<0.1%
Birom - Fulani	4.0 × 10⁻¹¹	<0.1%
Los Costenos - Civilians	4.0 × 10⁻¹¹	<0.1%
Atyap - Fulani	3.5 × 10⁻¹¹	<0.1%
Government of eSwatini (Swaziland) - Civilians	3.4 × 10⁻¹¹	<0.1%
Karimjo - Wurukum	3.3 × 10⁻¹¹	<0.1%
Black Axe - Eyie	3.1 × 10⁻¹¹	<0.1%
Forces of Terwase Akwanza - Civilians	2.7 × 10⁻¹¹	<0.1%
Amhara - Oromo	2.7 × 10⁻¹¹	<0.1%
Fulani - Idoma	2.5 × 10⁻¹¹	<0.1%
TTP - Civilians	2.5 × 10⁻¹¹	<0.1%
Fulani - Kuteb	2.4 × 10⁻¹¹	<0.1%
Government of Pakistan - Civilians	2.3 × 10⁻¹¹	<0.1%
M18 - MS-13	2.2 × 10⁻¹¹	<0.1%
Philippines: Mindanao	2.1 × 10⁻¹¹	<0.1%
Government of Philippines - Civilians	2.1 × 10⁻¹¹	<0.1%
Government of Nigeria - Civilians	1.7 × 10⁻¹¹	<0.1%
Chain Guys - Full Force	1.4 × 10⁻¹¹	<0.1%
NUG - Civilians	1.4 × 10⁻¹¹	<0.1%
Guraghe - Mareqo	1.2 × 10⁻¹¹	<0.1%
Hausa - Fulani	8.0 × 10⁻¹²	<0.1%
Murle - Nuer	7.9 × 10⁻¹²	<0.1%
MS-13 - Civilians	7.8 × 10⁻¹²	<0.1%
M18 - Civilians	6.3 × 10⁻¹²	<0.1%
Patani insurgents - Civilians	5.9 × 10⁻¹²	<0.1%
Fulani - Irigwe	5.6 × 10⁻¹²	<0.1%
Somalia: Government	4.7 × 10⁻¹²	<0.1%
Fulani - Igala	4.7 × 10⁻¹²	<0.1%
ARSA - Civilians	4.3 × 10⁻¹²	<0.1%
Greenlanders - NDV	4.2 × 10⁻¹²	<0.1%
Black Axe - Maphite	4.2 × 10⁻¹²	<0.1%
LeJ - Civilians	3.6 × 10⁻¹²	<0.1%
Supporters of APC - Supporters of PDP	2.8 × 10⁻¹²	<0.1%
Amhara - Gumuz	2.4 × 10⁻¹²	<0.1%
Black Axe - SVC	2.3 × 10⁻¹²	<0.1%
IPOB - Civilians	2.3 × 10⁻¹²	<0.1%
Agatu - Fulani	1.9 × 10⁻¹²	<0.1%
IS - Yan Gora	1.9 × 10⁻¹²	<0.1%
Deebam - NDV	1.9 × 10⁻¹²	<0.1%
Myanmar (Burma): Shan	1.8 × 10⁻¹²	<0.1%
Government of Egypt - Civilians	1.0 × 10⁻¹²	<0.1%
Jukun - Tiv	9.4 × 10⁻¹³	<0.1%
Supporters of Awami League - Supporters of BNP	7.6 × 10⁻¹³	<0.1%
Cameroon: Ambazonia	4.7 × 10⁻¹³	<0.1%
Ambazonia insurgents - Civilians	4.7 × 10⁻¹³	<0.1%
Supporters of Awami League - Supporters of Jamaat-e-Islami	3.8 × 10⁻¹³	<0.1%
Egypt: Islamic State	2.1 × 10⁻¹³	<0.1%
Azerbaijan: Artsakh (Nagorno-Karabakh)	3.2 × 10⁻¹⁴	<0.1%
Total	1.4 × 10⁻⁴	= the headline figure, 1.4 × 10⁻⁴

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
Manufacture of motor vehicles, trailers and semi-trailers	3.8 × 10⁻⁵	44%
Wholesale trade, except of motor vehicles and motorcycles	5.0 × 10⁻⁶	5.9%
Mining and quarrying	4.8 × 10⁻⁶	5.6%
Manufacture of basic metals	4.7 × 10⁻⁶	5.5%
Land transport and transport via pipelines	3.0 × 10⁻⁶	3.5%
Wholesale and retail trade and repair of motor vehicles and motorcycles	2.7 × 10⁻⁶	3.1%
Manufacture of fabricated metal products, except machinery and equipment	2.5 × 10⁻⁶	2.9%
Warehousing and support activities for transportation	2.3 × 10⁻⁶	2.6%
Security and investigation, service and landscape, office administrative and support activities	2.2 × 10⁻⁶	2.5%
Manufacture of rubber and plastic products	1.7 × 10⁻⁶	2.0%
Manufacture of machinery and equipment n.e.c.	1.7 × 10⁻⁶	2.0%
Retail trade, except of motor vehicles and motorcycles	1.5 × 10⁻⁶	1.7%
Construction	1.3 × 10⁻⁶	1.5%
Manufacture of chemicals and chemical products	1.3 × 10⁻⁶	1.5%
Manufacture of electrical equipment	1.1 × 10⁻⁶	1.3%
Rental and leasing activities	1.1 × 10⁻⁶	1.3%
Employment activities	1.1 × 10⁻⁶	1.2%
Sewerage, waste management, remediation activities	9.3 × 10⁻⁷	1.1%
Water transport	7.9 × 10⁻⁷	0.92%
Manufacture of computer, electronic and optical products	7.2 × 10⁻⁷	0.84%
Accommodation and food service activities	6.2 × 10⁻⁷	0.72%
Legal and accounting activities; activities of head offices; management consultancy activities	5.9 × 10⁻⁷	0.69%
Manufacture of coke and refined petroleum products	5.5 × 10⁻⁷	0.64%
Crop and animal production, hunting and related service activities	5.2 × 10⁻⁷	0.60%
Manufacture of other non-metallic mineral products	4.9 × 10⁻⁷	0.57%
Postal and courier activities	4.3 × 10⁻⁷	0.50%
Air transport	4.2 × 10⁻⁷	0.49%
Manufacture of textiles, wearing apparel, leather and related products	4.1 × 10⁻⁷	0.47%
Repair and installation of machinery and equipment	3.5 × 10⁻⁷	0.40%
Manufacture of food products; beverages and tobacco products	3.0 × 10⁻⁷	0.35%
Public administration and defence; compulsory social security	2.8 × 10⁻⁷	0.32%
Human health activities	2.5 × 10⁻⁷	0.30%
Manufacture of paper and paper products	2.5 × 10⁻⁷	0.29%
Architectural and engineering activities; technical testing and analysis	2.0 × 10⁻⁷	0.23%
Electricity, gas, steam and air conditioning supply	1.9 × 10⁻⁷	0.22%
Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials	1.8 × 10⁻⁷	0.21%
Manufacture of other transport equipment	1.6 × 10⁻⁷	0.18%
Forestry and logging	1.6 × 10⁻⁷	0.18%
Manufacture of furniture; other manufacturing	1.6 × 10⁻⁷	0.18%
Travel agency, tour operator reservation service and related activities	1.5 × 10⁻⁷	0.17%
Computer programming, consultancy, and information service activities	1.3 × 10⁻⁷	0.15%
Education	1.2 × 10⁻⁷	0.13%
Water collection, treatment and supply	1.1 × 10⁻⁷	0.13%
Advertising and market research	1.1 × 10⁻⁷	0.13%
Printing and reproduction of recorded media	1.0 × 10⁻⁷	0.12%
Financial service activities, except insurance and pension funding	9.7 × 10⁻⁸	0.11%
Real estate activities	9.6 × 10⁻⁸	0.11%
Manufacture of basic pharmaceutical products and pharmaceutical preparations	8.7 × 10⁻⁸	0.10%
Other professional, scientific and technical activities; veterinary activities	8.6 × 10⁻⁸	0.10%
Sports activities and amusement and recreation activities	7.6 × 10⁻⁸	<0.1%
Repair of computers and personal and household goods	7.4 × 10⁻⁸	<0.1%
Activities of membership organisations	7.4 × 10⁻⁸	<0.1%
Other personal service activities	5.1 × 10⁻⁸	<0.1%
Residential care activities and social work activities without accommodation	5.0 × 10⁻⁸	<0.1%
Telecommunications	4.9 × 10⁻⁸	<0.1%
Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities	4.5 × 10⁻⁸	<0.1%
Scientific research and development	2.7 × 10⁻⁸	<0.1%
Insurance, reinsurance and pension funding, except compulsory social security	2.6 × 10⁻⁸	<0.1%
Activities auxiliary to financial services and insurance activities	2.5 × 10⁻⁸	<0.1%
Publishing activities	1.8 × 10⁻⁸	<0.1%
Motion picture, video, television programme production; programming and broadcasting activities	1.8 × 10⁻⁸	<0.1%
Fishing and aquaculture	6.6 × 10⁻⁹	<0.1%
Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use	2.6 × 10⁻¹¹	<0.1%
Total	8.6 × 10⁻⁵	= the headline figure, 8.6 × 10⁻⁵

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
Germany	2.1 × 10⁻⁵	24%
Turkiye	1.2 × 10⁻⁵	14%
Not placed	9.5 × 10⁻⁶	11%
United States	7.7 × 10⁻⁶	8.9%
Spain	6.7 × 10⁻⁶	7.8%
France	5.3 × 10⁻⁶	6.1%
Argentina	4.0 × 10⁻⁶	4.7%
Japan	3.2 × 10⁻⁶	3.8%
Italy	3.0 × 10⁻⁶	3.5%
Canada	2.2 × 10⁻⁶	2.5%
Czechia	1.9 × 10⁻⁶	2.2%
Portugal	1.6 × 10⁻⁶	1.9%
Poland	1.6 × 10⁻⁶	1.9%
Hungary	1.0 × 10⁻⁶	1.2%
Austria	7.5 × 10⁻⁷	0.88%
Sweden	6.8 × 10⁻⁷	0.79%
Netherlands	5.8 × 10⁻⁷	0.68%
Slovak Republic	5.7 × 10⁻⁷	0.66%
Switzerland	4.9 × 10⁻⁷	0.57%
Belgium	4.8 × 10⁻⁷	0.56%
Australia	4.3 × 10⁻⁷	0.50%
Mexico	3.6 × 10⁻⁷	0.42%
Slovenia	3.0 × 10⁻⁷	0.35%
Denmark	1.8 × 10⁻⁷	0.21%
Finland	1.7 × 10⁻⁷	0.20%
Ireland	1.0 × 10⁻⁷	0.12%
Romania	1.0 × 10⁻⁷	0.12%
Norway	5.4 × 10⁻⁸	<0.1%
Brazil	5.3 × 10⁻⁸	<0.1%
Estonia	4.9 × 10⁻⁸	<0.1%
Luxembourg	4.2 × 10⁻⁸	<0.1%
Lithuania	4.2 × 10⁻⁸	<0.1%
Croatia	3.6 × 10⁻⁸	<0.1%
Bulgaria	3.2 × 10⁻⁸	<0.1%
Russian Federation	1.9 × 10⁻⁸	<0.1%
Greece	1.8 × 10⁻⁸	<0.1%
Latvia	1.6 × 10⁻⁸	<0.1%
India	1.2 × 10⁻⁸	<0.1%
Malta	9.7 × 10⁻⁹	<0.1%
Cyprus	2.8 × 10⁻⁹	<0.1%
Indonesia	2.0 × 10⁻⁹	<0.1%
United Kingdom	4.8 × 10⁻¹⁰	<0.1%
South Africa	4.6 × 10⁻¹⁰	<0.1%
Saudi Arabia	4.2 × 10⁻¹⁰	<0.1%
Korea, Rep.	7.1 × 10⁻¹¹	<0.1%
China	6.3 × 10⁻¹¹	<0.1%
Serbia	1.7 × 10⁻¹³	<0.1%
Total	8.6 × 10⁻⁵	= the headline figure, 8.6 × 10⁻⁵

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/petrol-car/

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