The full breakdown

How the figure for Steel 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 crude steel, world route mix. 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 — 3.1 × 10⁻⁹ per item(1.7–6.7 × 10⁻⁹)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r

Money method — 7.0 × 10⁻⁶ per €1,000 spent in its industry(0.46–1.1 × 10⁻⁵)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	0.0011 t	1.9 × 10⁻⁹	2.1 × 10⁻⁹	67%
Coal and lignite	5.9 × 10⁻⁴ t	1.7 × 10⁻⁹	1.0 × 10⁻⁹	33%
Total			3.1 × 10⁻⁹	= the headline figure, 3.1 × 10⁻⁹

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	2.8 × 10⁻⁹	89%
Brazil	1.2 × 10⁻¹⁰	3.7%
Turkiye	5.7 × 10⁻¹¹	1.8%
Mexico	4.4 × 10⁻¹¹	1.4%
Australia	2.6 × 10⁻¹¹	0.82%
United States	2.3 × 10⁻¹¹	0.73%
India	1.6 × 10⁻¹¹	0.50%
Russian Federation	1.5 × 10⁻¹¹	0.46%
Colombia	9.9 × 10⁻¹²	0.31%
Canada	9.3 × 10⁻¹²	0.30%
Germany	4.6 × 10⁻¹²	0.15%
Sweden	3.9 × 10⁻¹²	0.12%
Mongolia	3.2 × 10⁻¹²	0.10%
Mozambique	3.0 × 10⁻¹²	<0.1%
Poland	3.0 × 10⁻¹²	<0.1%
Bulgaria	2.4 × 10⁻¹²	<0.1%
Indonesia	2.2 × 10⁻¹²	<0.1%
Czechia	2.0 × 10⁻¹²	<0.1%
Pakistan	1.7 × 10⁻¹²	<0.1%
Mauritania	1.7 × 10⁻¹²	<0.1%
Thailand	1.4 × 10⁻¹²	<0.1%
Greece	1.1 × 10⁻¹²	<0.1%
Myanmar	1.1 × 10⁻¹²	<0.1%
Philippines	1.1 × 10⁻¹²	<0.1%
Romania	8.9 × 10⁻¹³	<0.1%
Niger	7.4 × 10⁻¹³	<0.1%
Ethiopia	7.2 × 10⁻¹³	<0.1%
Iran, Islamic Rep.	7.1 × 10⁻¹³	<0.1%
Nigeria	7.1 × 10⁻¹³	<0.1%
Afghanistan	6.4 × 10⁻¹³	<0.1%
Venezuela, RB	5.1 × 10⁻¹³	<0.1%
South Africa	3.8 × 10⁻¹³	<0.1%
Slovenia	3.0 × 10⁻¹³	<0.1%
Uzbekistan	2.7 × 10⁻¹³	<0.1%
Korea, Rep.	2.6 × 10⁻¹³	<0.1%
Hungary	2.3 × 10⁻¹³	<0.1%
Peru	2.0 × 10⁻¹³	<0.1%
Japan	1.3 × 10⁻¹³	<0.1%
Slovak Republic	1.1 × 10⁻¹³	<0.1%
Georgia	8.6 × 10⁻¹⁴	<0.1%
China	2.8 × 10⁻¹⁴	<0.1%
Eswatini	1.3 × 10⁻¹⁴	<0.1%
Bangladesh	1.8 × 10⁻¹⁵	<0.1%
Argentina	6.0 × 10⁻¹⁶	<0.1%
Norway	3.5 × 10⁻¹⁶	<0.1%
Armenia	1.2 × 10⁻¹⁷	<0.1%
Total	3.1 × 10⁻⁹	= the headline figure, 3.1 × 10⁻⁹

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	3.0 × 10⁻⁹	95%
Work	1.5 × 10⁻¹⁰	4.9%
Total	3.1 × 10⁻⁹	= the headline figure, 3.1 × 10⁻⁹

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	2.8 × 10⁻⁹	88%
Not placed	1.5 × 10⁻¹⁰	4.9%
Comando Vermelho - PCC	3.4 × 10⁻¹¹	1.1%
Jalisco Cartel New Generation - Sinaloa Cartel	2.0 × 10⁻¹¹	0.65%
Government of Russia (Soviet Union) - Civilians	1.7 × 10⁻¹¹	0.56%
Bonde do Maluco - Comando Vermelho	1.2 × 10⁻¹¹	0.39%
Cartel do Norte - Comando Vermelho	1.1 × 10⁻¹¹	0.35%
Bonde dos 40 - PCC	7.8 × 10⁻¹²	0.25%
Jalisco Cartel New Generation - Santa Rosa de Lima Cartel	6.6 × 10⁻¹²	0.21%
Juarez Cartel - Sinaloa Cartel	5.9 × 10⁻¹²	0.19%
Comando Vermelho - GDE	5.9 × 10⁻¹²	0.19%
Nova Okaida - Estados Unidos	5.9 × 10⁻¹²	0.19%
GDE, PCC - Sindicato do Crime	5.8 × 10⁻¹²	0.18%
PCC - Sindicato do Crime	5.1 × 10⁻¹²	0.16%
Amigos Para Sempre - Família Terror Amapá	5.1 × 10⁻¹²	0.16%
India: Kashmir	4.6 × 10⁻¹²	0.15%
Carteles Unidos - Jalisco Cartel New Generation	4.5 × 10⁻¹²	0.14%
Comando Vermelho - Civilians	4.2 × 10⁻¹²	0.13%
Kuki - Meitei	4.0 × 10⁻¹²	0.13%
India: Government	3.7 × 10⁻¹²	0.12%
Bonde dos 13, PCC - Comando Vermelho	3.1 × 10⁻¹²	<0.1%
Bonde dos 40 - Comando Vermelho	3.1 × 10⁻¹²	<0.1%
Turkey: Kurdistan	2.7 × 10⁻¹²	<0.1%
Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos	2.6 × 10⁻¹²	<0.1%
Comando Vermelho - Holanda	2.2 × 10⁻¹²	<0.1%
Mozambique: Islamic State	1.9 × 10⁻¹²	<0.1%
CPI-Maoist - Civilians	1.7 × 10⁻¹²	<0.1%
Mauritania: Government	1.7 × 10⁻¹²	<0.1%
Comando Vermelho - Massa	1.6 × 10⁻¹²	<0.1%
Nova Okaida - PCC	1.6 × 10⁻¹²	<0.1%
Bonde do Maluco - Katiara	1.5 × 10⁻¹²	<0.1%
Bonde do Maluco - Civilians	1.5 × 10⁻¹²	<0.1%
Indonesia: West Papua	1.4 × 10⁻¹²	<0.1%
Pakistan: Government	1.2 × 10⁻¹²	<0.1%
Bonde dos 40 - Civilians	1.2 × 10⁻¹²	<0.1%
Russia (Soviet Union): Government	1.2 × 10⁻¹²	<0.1%
EGC - Civilians	1.2 × 10⁻¹²	<0.1%
Comando Vermelho - Terceiro Comando Puro	1.1 × 10⁻¹²	<0.1%
Cartel Independiente de Acapulco - Los Rusos, UPOEG	1.1 × 10⁻¹²	<0.1%
IS - Civilians	1.1 × 10⁻¹²	<0.1%
PCC - Civilians	8.5 × 10⁻¹³	<0.1%
Ajeita - Bonde do Maluco	7.5 × 10⁻¹³	<0.1%
Kashmir insurgents - Civilians	7.4 × 10⁻¹³	<0.1%
Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos	7.1 × 10⁻¹³	<0.1%
Myanmar (Burma): Government	6.8 × 10⁻¹³	<0.1%
OPM - Civilians	6.6 × 10⁻¹³	<0.1%
Philippines: Government	6.6 × 10⁻¹³	<0.1%
Carteles Unidos, Guerreros Unidos - Los Tlacos	6.5 × 10⁻¹³	<0.1%
FARC-EMC - Civilians	6.1 × 10⁻¹³	<0.1%
Iran: Government	6.0 × 10⁻¹³	<0.1%
Government of Brazil - Civilians	5.6 × 10⁻¹³	<0.1%
Anti-Bala - Bala na Cara	5.2 × 10⁻¹³	<0.1%
Los Ardillos - Los Tlacos	4.7 × 10⁻¹³	<0.1%
Bonde dos 40 - PCM	4.7 × 10⁻¹³	<0.1%
Government of Venezuela - Civilians	4.1 × 10⁻¹³	<0.1%
FARC-EMC - ELN	3.9 × 10⁻¹³	<0.1%
Ethiopia: Government/Amhara	3.8 × 10⁻¹³	<0.1%
Jalisco Cartel New Generation - Zetas Vieja Escuela	3.4 × 10⁻¹³	<0.1%
Niger: Islamic State	3.3 × 10⁻¹³	<0.1%
IS - Naparama	3.3 × 10⁻¹³	<0.1%
Philippines: Islamic State	3.2 × 10⁻¹³	<0.1%
Hindus (India) - Muslims (India)	3.1 × 10⁻¹³	<0.1%
ELN - Civilians	3.1 × 10⁻¹³	<0.1%
Afghanistan: Islamic State	2.9 × 10⁻¹³	<0.1%
Nigeria: Islamic State	2.8 × 10⁻¹³	<0.1%
Government of India - Civilians	2.7 × 10⁻¹³	<0.1%
FARC - Segunda Marquetalia - Civilians	2.6 × 10⁻¹³	<0.1%
Colombia: Government	2.4 × 10⁻¹³	<0.1%
CATA - Codeta	2.3 × 10⁻¹³	<0.1%
Government of Myanmar (Burma) - Civilians	2.1 × 10⁻¹³	<0.1%
Los Costenos - Los Pepes	2.1 × 10⁻¹³	<0.1%
Peru: Government	2.0 × 10⁻¹³	<0.1%
EGC - ELN, FARC-EMC	2.0 × 10⁻¹³	<0.1%
EGC - ELN	1.9 × 10⁻¹³	<0.1%
Government of Indonesia - Civilians	1.7 × 10⁻¹³	<0.1%
India: Western South East Asia	1.6 × 10⁻¹³	<0.1%
Pakistan: Balochistan	1.5 × 10⁻¹³	<0.1%
Government of South Africa - Civilians	1.5 × 10⁻¹³	<0.1%
Government of Mozambique - Civilians	1.4 × 10⁻¹³	<0.1%
Ethiopia: Oromiya	1.4 × 10⁻¹³	<0.1%
Myanmar (Burma): Kachin	1.3 × 10⁻¹³	<0.1%
Pakistan: Islamic State	1.2 × 10⁻¹³	<0.1%
Afghanistan: Government	1.0 × 10⁻¹³	<0.1%
Los Rusos, UPOEG - Los Tlacos	9.9 × 10⁻¹⁴	<0.1%
Jalisco Cartel New Generation - Civilians	8.9 × 10⁻¹⁴	<0.1%
EGC - Autodefensas Conquistadoras de la Sierra Nevada	8.4 × 10⁻¹⁴	<0.1%
Jalisco Cartel New Generation - Pájaros Sierra	8.2 × 10⁻¹⁴	<0.1%
VHP - Civilians	7.8 × 10⁻¹⁴	<0.1%
Government of Afghanistan - Civilians	7.7 × 10⁻¹⁴	<0.1%
Government of Mexico - Civilians	6.9 × 10⁻¹⁴	<0.1%
Government of Colombia - Civilians	6.9 × 10⁻¹⁴	<0.1%
Thailand: Patani	6.9 × 10⁻¹⁴	<0.1%
Myanmar (Burma): Karen	6.8 × 10⁻¹⁴	<0.1%
IS - JAS	6.8 × 10⁻¹⁴	<0.1%
Nigeria: Government	6.7 × 10⁻¹⁴	<0.1%
Iran: Islamic State	6.6 × 10⁻¹⁴	<0.1%
Niger: Government	6.5 × 10⁻¹⁴	<0.1%
CPP - Civilians	6.4 × 10⁻¹⁴	<0.1%
Russia: Islamic State	6.0 × 10⁻¹⁴	<0.1%
Los Ardillos - Los Rojos	5.9 × 10⁻¹⁴	<0.1%
Government of Ethiopia - Civilians	5.8 × 10⁻¹⁴	<0.1%
Gulf Cartel - Los Zetas - Cártel del Noreste faction	5.6 × 10⁻¹⁴	<0.1%
Myanmar (Burma): Karenni	5.3 × 10⁻¹⁴	<0.1%
PKK - Civilians	5.0 × 10⁻¹⁴	<0.1%
Government of Iran - Civilians	5.0 × 10⁻¹⁴	<0.1%
Amigos dos Amigos - Comando Vermelho	4.7 × 10⁻¹⁴	<0.1%
FDN - PCC	4.7 × 10⁻¹⁴	<0.1%
OLA - Civilians	4.5 × 10⁻¹⁴	<0.1%
Shia (Pakistan) - Sunni (Pakistan)	4.0 × 10⁻¹⁴	<0.1%
Fano - Civilians	4.0 × 10⁻¹⁴	<0.1%
India - Pakistan	3.9 × 10⁻¹⁴	<0.1%
India: Nagaland	3.9 × 10⁻¹⁴	<0.1%
NSCN-IM - Civilians	3.9 × 10⁻¹⁴	<0.1%
PLFI - Civilians	3.9 × 10⁻¹⁴	<0.1%
Fulani - Mwaghavul	3.9 × 10⁻¹⁴	<0.1%
Anuak - Nuer	3.9 × 10⁻¹⁴	<0.1%
Djerma (Zherma) - Fulani	3.7 × 10⁻¹⁴	<0.1%
Fulani - Mwaghavul , Ron	3.6 × 10⁻¹⁴	<0.1%
Fulani - Tiv	3.4 × 10⁻¹⁴	<0.1%
JNIM - Civilians	3.2 × 10⁻¹⁴	<0.1%
Comandos de la Frontera - Civilians	3.1 × 10⁻¹⁴	<0.1%
Afghanistan - Pakistan	3.0 × 10⁻¹⁴	<0.1%
Farmers (Nigeria) - Herders (Nigeria)	2.9 × 10⁻¹⁴	<0.1%
Myanmar (Burma): Arakan	2.9 × 10⁻¹⁴	<0.1%
JAS - Civilians	2.7 × 10⁻¹⁴	<0.1%
Russia (Soviet Union): Chechnya	2.4 × 10⁻¹⁴	<0.1%
Autodefensas Conquistadoras de la Sierra Nevada - Civilians	2.3 × 10⁻¹⁴	<0.1%
Nigeria: Biafra	2.1 × 10⁻¹⁴	<0.1%
Gulf Cartel - Sinaloa Cartel	2.0 × 10⁻¹⁴	<0.1%
Gulf Cartel - Jalisco Cartel New Generation	2.0 × 10⁻¹⁴	<0.1%
Myanmar (Burma): Kokang	1.7 × 10⁻¹⁴	<0.1%
BRAS - Civilians	1.7 × 10⁻¹⁴	<0.1%
Birom - Fulani	1.6 × 10⁻¹⁴	<0.1%
Los Costenos - Civilians	1.5 × 10⁻¹⁴	<0.1%
Atyap - Fulani	1.3 × 10⁻¹⁴	<0.1%
Government of eSwatini (Swaziland) - Civilians	1.3 × 10⁻¹⁴	<0.1%
Karimjo - Wurukum	1.3 × 10⁻¹⁴	<0.1%
Black Axe - Eyie	1.2 × 10⁻¹⁴	<0.1%
Forces of Terwase Akwanza - Civilians	1.1 × 10⁻¹⁴	<0.1%
Amhara - Oromo	1.0 × 10⁻¹⁴	<0.1%
Fulani - Idoma	9.8 × 10⁻¹⁵	<0.1%
TTP - Civilians	9.8 × 10⁻¹⁵	<0.1%
Fulani - Kuteb	9.2 × 10⁻¹⁵	<0.1%
Government of Pakistan - Civilians	8.8 × 10⁻¹⁵	<0.1%
Philippines: Mindanao	8.1 × 10⁻¹⁵	<0.1%
Government of Philippines - Civilians	8.1 × 10⁻¹⁵	<0.1%
Government of Nigeria - Civilians	6.5 × 10⁻¹⁵	<0.1%
Chain Guys - Full Force	5.4 × 10⁻¹⁵	<0.1%
NUG - Civilians	5.3 × 10⁻¹⁵	<0.1%
Guraghe - Mareqo	4.6 × 10⁻¹⁵	<0.1%
Guerreros Unidos - Los Tlacos	3.3 × 10⁻¹⁵	<0.1%
Hausa - Fulani	3.1 × 10⁻¹⁵	<0.1%
Murle - Nuer	3.0 × 10⁻¹⁵	<0.1%
Patani insurgents - Civilians	2.3 × 10⁻¹⁵	<0.1%
Fulani - Irigwe	2.2 × 10⁻¹⁵	<0.1%
Somalia: Government	1.8 × 10⁻¹⁵	<0.1%
Fulani - Igala	1.8 × 10⁻¹⁵	<0.1%
ARSA - Civilians	1.7 × 10⁻¹⁵	<0.1%
Greenlanders - NDV	1.6 × 10⁻¹⁵	<0.1%
Black Axe - Maphite	1.6 × 10⁻¹⁵	<0.1%
LeJ - Civilians	1.4 × 10⁻¹⁵	<0.1%
Supporters of APC - Supporters of PDP	1.1 × 10⁻¹⁵	<0.1%
Amhara - Gumuz	9.1 × 10⁻¹⁶	<0.1%
Black Axe - SVC	9.1 × 10⁻¹⁶	<0.1%
IPOB - Civilians	9.1 × 10⁻¹⁶	<0.1%
Agatu - Fulani	7.2 × 10⁻¹⁶	<0.1%
IS - Yan Gora	7.2 × 10⁻¹⁶	<0.1%
Deebam - NDV	7.2 × 10⁻¹⁶	<0.1%
Myanmar (Burma): Shan	7.1 × 10⁻¹⁶	<0.1%
Jukun - Tiv	3.6 × 10⁻¹⁶	<0.1%
Supporters of Awami League - Supporters of BNP	2.9 × 10⁻¹⁶	<0.1%
Cameroon: Ambazonia	1.8 × 10⁻¹⁶	<0.1%
Ambazonia insurgents - Civilians	1.8 × 10⁻¹⁶	<0.1%
Supporters of Awami League - Supporters of Jamaat-e-Islami	1.5 × 10⁻¹⁶	<0.1%
Azerbaijan: Artsakh (Nagorno-Karabakh)	1.2 × 10⁻¹⁷	<0.1%
Total	3.1 × 10⁻⁹	= the headline figure, 3.1 × 10⁻⁹

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	4.4 × 10⁻⁶	63%
Manufacture of basic metals	2.3 × 10⁻⁶	32%
Land transport and transport via pipelines	7.5 × 10⁻⁸	1.1%
Water transport	7.4 × 10⁻⁸	1.1%
Crop and animal production, hunting and related service activities	3.2 × 10⁻⁸	0.46%
Warehousing and support activities for transportation	2.7 × 10⁻⁸	0.39%
Forestry and logging	2.3 × 10⁻⁸	0.33%
Air transport	1.6 × 10⁻⁸	0.23%
Sewerage, waste management, remediation activities	1.1 × 10⁻⁸	0.17%
Wholesale trade, except of motor vehicles and motorcycles	1.1 × 10⁻⁸	0.16%
Manufacture of fabricated metal products, except machinery and equipment	8.3 × 10⁻⁹	0.12%
Manufacture of other transport equipment	6.4 × 10⁻⁹	<0.1%
Electricity, gas, steam and air conditioning supply	5.1 × 10⁻⁹	<0.1%
Construction	4.6 × 10⁻⁹	<0.1%
Manufacture of coke and refined petroleum products	4.1 × 10⁻⁹	<0.1%
Postal and courier activities	3.3 × 10⁻⁹	<0.1%
Retail trade, except of motor vehicles and motorcycles	2.8 × 10⁻⁹	<0.1%
Water collection, treatment and supply	2.7 × 10⁻⁹	<0.1%
Security and investigation, service and landscape, office administrative and support activities	2.0 × 10⁻⁹	<0.1%
Manufacture of chemicals and chemical products	1.9 × 10⁻⁹	<0.1%
Public administration and defence; compulsory social security	1.5 × 10⁻⁹	<0.1%
Rental and leasing activities	1.3 × 10⁻⁹	<0.1%
Employment activities	1.1 × 10⁻⁹	<0.1%
Manufacture of machinery and equipment n.e.c.	9.4 × 10⁻¹⁰	<0.1%
Wholesale and retail trade and repair of motor vehicles and motorcycles	8.1 × 10⁻¹⁰	<0.1%
Manufacture of other non-metallic mineral products	6.9 × 10⁻¹⁰	<0.1%
Legal and accounting activities; activities of head offices; management consultancy activities	6.3 × 10⁻¹⁰	<0.1%
Manufacture of rubber and plastic products	5.7 × 10⁻¹⁰	<0.1%
Accommodation and food service activities	5.1 × 10⁻¹⁰	<0.1%
Repair and installation of machinery and equipment	5.0 × 10⁻¹⁰	<0.1%
Manufacture of computer, electronic and optical products	5.0 × 10⁻¹⁰	<0.1%
Manufacture of electrical equipment	5.0 × 10⁻¹⁰	<0.1%
Repair of computers and personal and household goods	4.7 × 10⁻¹⁰	<0.1%
Manufacture of motor vehicles, trailers and semi-trailers	3.8 × 10⁻¹⁰	<0.1%
Manufacture of food products; beverages and tobacco products	3.5 × 10⁻¹⁰	<0.1%
Manufacture of paper and paper products	2.9 × 10⁻¹⁰	<0.1%
Architectural and engineering activities; technical testing and analysis	2.5 × 10⁻¹⁰	<0.1%
Manufacture of textiles, wearing apparel, leather and related products	2.4 × 10⁻¹⁰	<0.1%
Human health activities	2.1 × 10⁻¹⁰	<0.1%
Travel agency, tour operator reservation service and related activities	1.9 × 10⁻¹⁰	<0.1%
Real estate activities	1.9 × 10⁻¹⁰	<0.1%
Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials	1.7 × 10⁻¹⁰	<0.1%
Activities of membership organisations	1.7 × 10⁻¹⁰	<0.1%
Computer programming, consultancy, and information service activities	1.5 × 10⁻¹⁰	<0.1%
Financial service activities, except insurance and pension funding	1.3 × 10⁻¹⁰	<0.1%
Other personal service activities	1.3 × 10⁻¹⁰	<0.1%
Advertising and market research	1.2 × 10⁻¹⁰	<0.1%
Manufacture of furniture; other manufacturing	1.1 × 10⁻¹⁰	<0.1%
Printing and reproduction of recorded media	9.5 × 10⁻¹¹	<0.1%
Other professional, scientific and technical activities; veterinary activities	8.8 × 10⁻¹¹	<0.1%
Fishing and aquaculture	8.2 × 10⁻¹¹	<0.1%
Sports activities and amusement and recreation activities	7.7 × 10⁻¹¹	<0.1%
Telecommunications	7.5 × 10⁻¹¹	<0.1%
Manufacture of basic pharmaceutical products and pharmaceutical preparations	6.3 × 10⁻¹¹	<0.1%
Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities	6.1 × 10⁻¹¹	<0.1%
Residential care activities and social work activities without accommodation	5.1 × 10⁻¹¹	<0.1%
Education	4.4 × 10⁻¹¹	<0.1%
Activities auxiliary to financial services and insurance activities	3.0 × 10⁻¹¹	<0.1%
Motion picture, video, television programme production; programming and broadcasting activities	2.9 × 10⁻¹¹	<0.1%
Insurance, reinsurance and pension funding, except compulsory social security	2.9 × 10⁻¹¹	<0.1%
Scientific research and development	2.4 × 10⁻¹¹	<0.1%
Publishing activities	2.2 × 10⁻¹¹	<0.1%
Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use	2.0 × 10⁻¹²	<0.1%
Total	7.0 × 10⁻⁶	= the headline figure, 7.0 × 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	6.3 × 10⁻⁶	91%
Mexico	3.6 × 10⁻⁷	5.1%
Russian Federation	5.6 × 10⁻⁸	0.81%
Brazil	5.6 × 10⁻⁸	0.80%
Turkiye	3.2 × 10⁻⁸	0.46%
India	2.0 × 10⁻⁸	0.29%
United States	1.6 × 10⁻⁸	0.23%
Canada	1.6 × 10⁻⁸	0.23%
Japan	1.1 × 10⁻⁸	0.16%
Korea, Rep.	9.6 × 10⁻⁹	0.14%
France	4.2 × 10⁻⁹	<0.1%
Germany	3.5 × 10⁻⁹	<0.1%
Italy	3.4 × 10⁻⁹	<0.1%
Australia	2.5 × 10⁻⁹	<0.1%
Indonesia	2.3 × 10⁻⁹	<0.1%
Poland	2.1 × 10⁻⁹	<0.1%
Spain	2.0 × 10⁻⁹	<0.1%
Argentina	1.7 × 10⁻⁹	<0.1%
Bulgaria	1.6 × 10⁻⁹	<0.1%
Romania	7.4 × 10⁻¹⁰	<0.1%
Austria	7.2 × 10⁻¹⁰	<0.1%
Czechia	7.0 × 10⁻¹⁰	<0.1%
Greece	6.9 × 10⁻¹⁰	<0.1%
Portugal	6.7 × 10⁻¹⁰	<0.1%
Sweden	5.2 × 10⁻¹⁰	<0.1%
Saudi Arabia	5.0 × 10⁻¹⁰	<0.1%
Belgium	4.7 × 10⁻¹⁰	<0.1%
Hungary	3.7 × 10⁻¹⁰	<0.1%
South Africa	3.3 × 10⁻¹⁰	<0.1%
Norway	3.0 × 10⁻¹⁰	<0.1%
Finland	2.7 × 10⁻¹⁰	<0.1%
Netherlands	2.5 × 10⁻¹⁰	<0.1%
Lithuania	2.4 × 10⁻¹⁰	<0.1%
Switzerland	2.2 × 10⁻¹⁰	<0.1%
Slovak Republic	2.2 × 10⁻¹⁰	<0.1%
Slovenia	2.1 × 10⁻¹⁰	<0.1%
Denmark	2.0 × 10⁻¹⁰	<0.1%
Latvia	1.5 × 10⁻¹⁰	<0.1%
Estonia	1.1 × 10⁻¹⁰	<0.1%
Croatia	1.0 × 10⁻¹⁰	<0.1%
Ireland	9.2 × 10⁻¹¹	<0.1%
China	7.3 × 10⁻¹¹	<0.1%
United Kingdom	6.7 × 10⁻¹¹	<0.1%
Luxembourg	5.0 × 10⁻¹¹	<0.1%
Cyprus	4.1 × 10⁻¹¹	<0.1%
Malta	6.9 × 10⁻¹²	<0.1%
Serbia	3.0 × 10⁻¹⁴	<0.1%
Total	7.0 × 10⁻⁶	= the headline figure, 7.0 × 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

CEPII, BACI — Gaulier, G. and Zignago, S. (2010), BACI: International Trade Database at the Product-Level, CEPII Working Paper 2010-23. CEPII did not endorse these derived figures — HS92_V202601-20260130, retrieved 2026-09-29 from https://www.cepii.fr/DATA_DOWNLOAD/baci/data/BACI_HS92_V202601.zip. Licensed under Open Licence 2.0 (Licence Ouverte, Etalab) (https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf).
Eurostat, Euro/ECU exchange rates - annual data (ert_bil_eur_a) — ert_bil_eur_a-USD-20261006, retrieved 2026-10-06 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/ert_bil_eur_a/A.AVG.NAC.USD?format=SDMX-CSV&startPeriod=1995. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
Eurostat, European Commission — esaw-fatal-20260910, retrieved 2026-09-10 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/hsw_n2_02?format=SDMX-CSV. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
Eurostat, European Commission — esaw-fatal-20261006, retrieved 2026-10-06 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/hsw_n2_02?format=SDMX-CSV. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
Eurostat, European Commission — esaw-non_fatal-20260910, retrieved 2026-09-10 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/hsw_n2_01?format=SDMX-CSV. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
Eurostat, European Commission — esaw-non_fatal-20261006, retrieved 2026-10-06 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/hsw_n2_01?format=SDMX-CSV. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
Eurostat, FIGARO inter-country input-output tables — ii1-20260718, retrieved 2026-09-29 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_ii1?format=SDMX-CSV&compressed=true. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
Eurostat, FIGARO inter-country input-output tables — ii2-20260718, retrieved 2026-09-29 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_ii2?format=SDMX-CSV&compressed=true. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
Eurostat, FIGARO inter-country input-output tables — ii3-20260718, retrieved 2026-09-29 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_ii3?format=SDMX-CSV&compressed=true. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
Eurostat, FIGARO inter-country input-output tables — ii4-20260720, retrieved 2026-09-29 from https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_ii4?format=SDMX-CSV&compressed=true. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
FAO. AQUASTAT, FAO's Global Information System on Water and Agriculture: municipal water withdrawal. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — ds-20260713, retrieved 2026-10-06 from https://api.data.apps.fao.org/api/v2/bigquery. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — fo-20260109, retrieved 2026-09-29 from https://bulks-faostat.fao.org/production/Forestry_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — qcl-20251231, retrieved 2026-09-29 from https://bulks-faostat.fao.org/production/Production_Crops_Livestock_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — rfb-20260730, retrieved 2026-09-29 from https://bulks-faostat.fao.org/production/Inputs_FertilizersProduct_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
FAO. Food and Agriculture Organization of the United Nations, FAOSTAT. Licence: CC-BY-4.0. FAO endorsement of these derived figures is neither stated nor implied — rl-20261002, retrieved 2026-10-06 from https://bulks-faostat.fao.org/production/Inputs_LandUse_E_All_Data_(Normalized).zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
Information from the Stockholm International Peace Research Institute (SIPRI) — arms-register-1950-2025, retrieved 2026-09-29 from https://atbackend.sipri.org/api/p/trades/trade-register-csv/. Used under SIPRI terms and conditions — fair-use policy; see https://www.sipri.org/about/terms-and-conditions.
Information from the Stockholm International Peace Research Institute (SIPRI) — milex-1949-2025-v1.2, retrieved 2026-09-29 from https://www.sipri.org/sites/default/files/SIPRI-Milex-data-1949-2025_v1.2.xlsx. Used under SIPRI terms and conditions — fair-use policy; see https://www.sipri.org/about/terms-and-conditions.
International Labour Organization, ILOSTAT. The ILO did not prepare, review or endorse these derived figures; responsibility for them rests solely with Quiescence — emp-20261006, retrieved 2026-10-06 from https://sdmx.ilo.org/rest/data/ILO,DF_EMP_TEMP_SEX_ECO_NB,1.0/.A..SEX_T.. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
International Labour Organization, ILOSTAT. The ILO did not prepare, review or endorse these derived figures; responsibility for them rests solely with Quiescence — emp-20261007, retrieved 2026-10-06 from https://sdmx.ilo.org/rest/data/ILO,DF_EMP_TEMP_SEX_ECO_NB,1.0/.A..SEX_T.. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
International Labour Organization, ILOSTAT. The ILO did not prepare, review or endorse these derived figures; responsibility for them rests solely with Quiescence — fatal-20261006, retrieved 2026-10-06 from https://sdmx.ilo.org/rest/data/ILO,DF_INJ_FATL_ECO_NB,1.0/all. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
International Labour Organization, ILOSTAT. The ILO did not prepare, review or endorse these derived figures; responsibility for them rests solely with Quiescence — non_fatal-20261006, retrieved 2026-10-06 from https://sdmx.ilo.org/rest/data/ILO,DF_INJ_NFTL_ECO_NB,1.0/all. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 1995-2000_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/1995-2000_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 2001-2005_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/2001-2005_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 2006-2010_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/2006-2010_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 2011-2015_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/2011-2015_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
OECD. (2025) OECD Inter-Country Input-Output Tables, https://oe.cd/icio — 2016-2022_SML-20260112, retrieved 2026-09-22 from https://webfs-sti.oecd.org/files/STI-PIE/ICIO/2025/2016-2022_SML.zip. Used under OECD Terms and Conditions — section 3, Data; see https://www.oecd.org/en/about/terms-conditions.html.
Source: U.S. Energy Information Administration, International Energy Statistics — intl-20261003, retrieved 2026-10-06 from https://www.eia.gov/opendata/bulk/INTL.zip. Used under U.S. Government work — public domain (EIA Copyrights and Reuse); see https://www.eia.gov/about/copyrights_reuse.php.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2012-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2012.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2013-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2013.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2014-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2014.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2015-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2015.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2016-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2016.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2017-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2017.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2018-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/mineral-pubs/mcs/mcs2018.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2019-PDF, retrieved 2026-10-06 from https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/atoms/files/mcs2019_all.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2020-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2020/mcs2020.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2021-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2021/mcs2021.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2022-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2022/mcs2022.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2023-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2023/mcs2023.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2024-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2024/mcs2024.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2025-PDF, retrieved 2026-10-06 from https://pubs.usgs.gov/periodicals/mcs2025/mcs2025.pdf. Used under U.S. Government work — public domain (USGS Copyrights and Credits); see https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits.
U.S. Geological Survey, National Minerals Information Center, Mineral Commodity Summaries — MCS2026-20260206, retrieved 2026-09-29 from https://www.sciencebase.gov/catalog/file/get/69837e43b66b01367d7ec7c7?f=__disk__d3%2Fac%2F84%2Fd3ac8466552946c5e8caa2c2c6338d9e1aff655d. Licensed under Creative Commons Zero v1.0 Universal (public domain dedication) (https://creativecommons.org/publicdomain/zero/1.0/).
Uppsala Conflict Data Program (UCDP), Uppsala University — Davies, Pettersson and Oberg, "Organized violence 1989-2025, and violent political protests", Journal of Peace Research (2026), doi:10.1093/jopres/xjag046 — ged-v26.1, retrieved 2026-09-10 from https://ucdp.uu.se/downloads/ged/ged261-csv.zip. Licensed under Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/). Data modified by HumanToll.
World Health Organization, Global Health Estimates. WHO did not prepare, review or endorse these derived figures — wsh_10-20261006, retrieved 2026-10-06 from https://ghoapi.azureedge.net/api/WSH_10. Licensed under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (https://creativecommons.org/licenses/by-nc-sa/3.0/igo/). Data modified by HumanToll.

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

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