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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 Resource-only, 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 — 7.8 × 10⁻⁶ per item(0.59–1.1 × 10⁻⁵)LOWS-RES · run 2165 · methodology v0.1 · data dv-20261007-44r

Money method — 3.7 × 10⁻⁶ per €1,000 spent in its industry(2.6–5.5 × 10⁻⁶)MEDIUMS-RES · run 2165 · methodology v0.1 · 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
MaterialPer itemDeaths per kgPart of the figureShare
Coal and lignite0.51 t6.2 × 10⁻⁹3.2 × 10⁻⁶41%
Copper0.034 t6.6 × 10⁻⁸2.3 × 10⁻⁶29%
Iron ore0.98 t1.3 × 10⁻⁹1.3 × 10⁻⁶16%
Bauxite0.71 t1.4 × 10⁻⁹9.7 × 10⁻⁷13%
Silica sand0.024 t4.9 × 10⁻⁹1.2 × 10⁻⁷1.5%
Total7.8 × 10⁻⁶= the headline figure, 7.8 × 10⁻⁶

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
CountryPart of the figureShare
Turkiye2.3 × 10⁻⁶30%
Ukraine1.9 × 10⁻⁶24%
Mexico1.0 × 10⁻⁶13%
Australia7.9 × 10⁻⁷10%
Poland6.8 × 10⁻⁷8.7%
Congo, Dem. Rep.4.5 × 10⁻⁷5.8%
Colombia2.6 × 10⁻⁷3.3%
United States1.1 × 10⁻⁷1.4%
Germany9.1 × 10⁻⁸1.2%
Canada8.7 × 10⁻⁸1.1%
Spain3.5 × 10⁻⁸0.44%
Sweden2.8 × 10⁻⁸0.35%
France1.4 × 10⁻⁸0.18%
Slovenia8.7 × 10⁻⁹0.11%
Greece7.9 × 10⁻⁹0.10%
Netherlands6.2 × 10⁻⁹<0.1%
Italy5.3 × 10⁻⁹<0.1%
Mongolia4.9 × 10⁻⁹<0.1%
Bulgaria4.7 × 10⁻⁹<0.1%
Slovak Republic4.6 × 10⁻⁹<0.1%
Belgium3.0 × 10⁻⁹<0.1%
Russian Federation2.5 × 10⁻⁹<0.1%
Czechia2.4 × 10⁻⁹<0.1%
Japan1.8 × 10⁻⁹<0.1%
Thailand1.8 × 10⁻⁹<0.1%
Argentina1.2 × 10⁻⁹<0.1%
Finland7.2 × 10⁻¹⁰<0.1%
Latvia6.7 × 10⁻¹⁰<0.1%
Austria5.2 × 10⁻¹⁰<0.1%
Romania4.4 × 10⁻¹⁰<0.1%
Georgia4.1 × 10⁻¹⁰<0.1%
Hungary3.8 × 10⁻¹⁰<0.1%
Moldova5.6 × 10⁻¹¹<0.1%
Uzbekistan4.4 × 10⁻¹¹<0.1%
Norway1.1 × 10⁻¹¹<0.1%
Total7.8 × 10⁻⁶= the headline figure, 7.8 × 10⁻⁶

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 harmPart of the figureShare
Work4.5 × 10⁻⁶57%
Conflict and political violence3.3 × 10⁻⁶43%
Total7.8 × 10⁻⁶= the headline figure, 7.8 × 10⁻⁶

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
WarPart of the figureShare
Not placed4.5 × 10⁻⁶57%
Russia - Ukraine1.9 × 10⁻⁶24%
Jalisco Cartel New Generation - Sinaloa Cartel1.0 × 10⁻⁶13%
DR Congo (Zaire): Government3.4 × 10⁻⁷4.4%
Government of Rwanda - Civilians1.1 × 10⁻⁷1.4%
Total7.8 × 10⁻⁶= the headline figure, 7.8 × 10⁻⁶

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
IndustryPart of the figureShare
Mining and quarrying2.2 × 10⁻⁶60%
Manufacture of basic metals7.4 × 10⁻⁷20%
Crop and animal production, hunting and related service activities3.8 × 10⁻⁷10%
Electricity, gas, steam and air conditioning supply1.9 × 10⁻⁷5.0%
Real estate activities9.6 × 10⁻⁸2.6%
Forestry and logging7.5 × 10⁻⁸2.0%
Fishing and aquaculture6.6 × 10⁻⁹0.18%
Water collection, treatment and supply3.9 × 10⁻⁹0.11%
Manufacture of coke and refined petroleum products1.9 × 10⁻⁹<0.1%
Total3.7 × 10⁻⁶= the headline figure, 3.7 × 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
CountryPart of the figureShare
Not placed2.5 × 10⁻⁶68%
Turkiye2.7 × 10⁻⁷7.4%
Germany2.1 × 10⁻⁷5.6%
Spain1.0 × 10⁻⁷2.7%
Argentina8.2 × 10⁻⁸2.2%
United States8.2 × 10⁻⁸2.2%
Poland7.8 × 10⁻⁸2.1%
Australia6.4 × 10⁻⁸1.7%
Italy5.4 × 10⁻⁸1.5%
France3.8 × 10⁻⁸1.0%
Mexico3.3 × 10⁻⁸0.89%
Japan2.5 × 10⁻⁸0.66%
Canada2.3 × 10⁻⁸0.63%
Czechia1.7 × 10⁻⁸0.47%
Portugal1.7 × 10⁻⁸0.46%
Finland1.3 × 10⁻⁸0.35%
Austria1.2 × 10⁻⁸0.33%
Sweden9.2 × 10⁻⁹0.25%
Switzerland9.1 × 10⁻⁹0.24%
Netherlands8.6 × 10⁻⁹0.23%
Slovak Republic8.4 × 10⁻⁹0.23%
Hungary6.3 × 10⁻⁹0.17%
Slovenia4.2 × 10⁻⁹0.11%
Norway4.2 × 10⁻⁹0.11%
Denmark3.7 × 10⁻⁹0.10%
Ireland2.4 × 10⁻⁹<0.1%
Belgium2.3 × 10⁻⁹<0.1%
Bulgaria2.2 × 10⁻⁹<0.1%
Romania1.9 × 10⁻⁹<0.1%
Russian Federation1.7 × 10⁻⁹<0.1%
Estonia1.3 × 10⁻⁹<0.1%
Croatia1.1 × 10⁻⁹<0.1%
Luxembourg8.2 × 10⁻¹⁰<0.1%
Lithuania7.8 × 10⁻¹⁰<0.1%
Greece7.7 × 10⁻¹⁰<0.1%
Latvia4.8 × 10⁻¹⁰<0.1%
Malta9.6 × 10⁻¹¹<0.1%
Cyprus4.1 × 10⁻¹¹<0.1%
Total3.7 × 10⁻⁶= the headline figure, 3.7 × 10⁻⁶

What this trail does not show

Sources behind this figure

HumanToll 2026, run 2165, methodology v0.1. https://quiescence.eu/humantoll/explain/petrol-car/

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