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The full breakdown

How the figure for Glass 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 soda-lime glass. 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 — 2.9 × 10⁻¹¹ per item(1.2–6.3 × 10⁻¹¹)LOWS-RES · run 2165 · methodology v0.1 · data dv-20261007-44r

Money method — 1.1 × 10⁻⁶ per €1,000 spent in its industry(0.71–1.7 × 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
Silica sand7.3 × 10⁻⁴ t3.9 × 10⁻¹¹2.9 × 10⁻¹¹100%
Total2.9 × 10⁻¹¹= the headline figure, 2.9 × 10⁻¹¹

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
Spain8.2 × 10⁻¹²29%
Turkiye5.7 × 10⁻¹²20%
Moldova5.2 × 10⁻¹²18%
Italy1.7 × 10⁻¹²6.1%
France1.7 × 10⁻¹²6.0%
Korea, Rep.1.6 × 10⁻¹²5.6%
United States1.5 × 10⁻¹²5.2%
Japan7.7 × 10⁻¹³2.7%
Netherlands5.7 × 10⁻¹³2.0%
Poland4.1 × 10⁻¹³1.4%
Bulgaria3.8 × 10⁻¹³1.3%
Austria3.0 × 10⁻¹³1.1%
Germany2.5 × 10⁻¹³0.88%
Russian Federation1.0 × 10⁻¹³0.35%
Czechia7.3 × 10⁻¹⁴0.26%
Canada6.8 × 10⁻¹⁴0.24%
Argentina3.5 × 10⁻¹⁴0.12%
Australia9.6 × 10⁻¹⁵<0.1%
Norway9.3 × 10⁻¹⁶<0.1%
Total2.9 × 10⁻¹¹= the headline figure, 2.9 × 10⁻¹¹

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
Work2.9 × 10⁻¹¹100%
Total2.9 × 10⁻¹¹= the headline figure, 2.9 × 10⁻¹¹

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 placed2.9 × 10⁻¹¹100%
Total2.9 × 10⁻¹¹= the headline figure, 2.9 × 10⁻¹¹

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 quarrying1.0 × 10⁻⁶92%
Manufacture of basic metals7.3 × 10⁻⁸6.7%
Crop and animal production, hunting and related service activities1.1 × 10⁻⁸1.0%
Electricity, gas, steam and air conditioning supply3.6 × 10⁻⁹0.33%
Water collection, treatment and supply2.1 × 10⁻⁹0.19%
Manufacture of coke and refined petroleum products1.3 × 10⁻⁹0.12%
Forestry and logging6.6 × 10⁻¹⁰<0.1%
Real estate activities2.0 × 10⁻¹⁰<0.1%
Fishing and aquaculture6.9 × 10⁻¹¹<0.1%
Total1.1 × 10⁻⁶= the headline figure, 1.1 × 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 placed1.1 × 10⁻⁶96%
Mexico2.1 × 10⁻⁸1.9%
Turkiye9.9 × 10⁻⁹0.91%
Russian Federation5.3 × 10⁻⁹0.48%
United States2.4 × 10⁻⁹0.22%
Korea, Rep.7.7 × 10⁻¹⁰<0.1%
Canada7.4 × 10⁻¹⁰<0.1%
Poland7.3 × 10⁻¹⁰<0.1%
Spain6.8 × 10⁻¹⁰<0.1%
Germany6.4 × 10⁻¹⁰<0.1%
Italy3.7 × 10⁻¹⁰<0.1%
Japan3.4 × 10⁻¹⁰<0.1%
France3.1 × 10⁻¹⁰<0.1%
Austria2.7 × 10⁻¹⁰<0.1%
Czechia2.6 × 10⁻¹⁰<0.1%
Argentina2.5 × 10⁻¹⁰<0.1%
Australia2.3 × 10⁻¹⁰<0.1%
Greece2.0 × 10⁻¹⁰<0.1%
Portugal1.6 × 10⁻¹⁰<0.1%
Romania1.4 × 10⁻¹⁰<0.1%
Slovak Republic1.2 × 10⁻¹⁰<0.1%
Bulgaria1.2 × 10⁻¹⁰<0.1%
Finland5.8 × 10⁻¹¹<0.1%
Netherlands3.9 × 10⁻¹¹<0.1%
Sweden3.2 × 10⁻¹¹<0.1%
Ireland3.2 × 10⁻¹¹<0.1%
Hungary3.2 × 10⁻¹¹<0.1%
Norway2.4 × 10⁻¹¹<0.1%
Switzerland2.1 × 10⁻¹¹<0.1%
Lithuania2.0 × 10⁻¹¹<0.1%
Croatia1.9 × 10⁻¹¹<0.1%
Denmark1.0 × 10⁻¹¹<0.1%
Slovenia7.2 × 10⁻¹²<0.1%
Latvia4.2 × 10⁻¹²<0.1%
Belgium2.1 × 10⁻¹²<0.1%
Malta2.1 × 10⁻¹²<0.1%
Luxembourg1.7 × 10⁻¹²<0.1%
Total1.1 × 10⁻⁶= the headline figure, 1.1 × 10⁻⁶

What this trail does not show

Sources behind this figure

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

Back to Glass →

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