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 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 — 2.2 × 10⁻¹⁰ per item(0.93–4.5 × 10⁻¹⁰)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r

Money method — 2.6 × 10⁻⁶ per €1,000 spent in its industry(1.7–4.0 × 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
Silica sand	7.3 × 10⁻⁴ t	3.0 × 10⁻¹⁰	2.2 × 10⁻¹⁰	100%
Total			2.2 × 10⁻¹⁰	= the headline figure, 2.2 × 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
Turkiye	4.2 × 10⁻¹¹	19%
Italy	3.9 × 10⁻¹¹	18%
United States	3.6 × 10⁻¹¹	17%
France	1.9 × 10⁻¹¹	8.6%
Mexico	1.6 × 10⁻¹¹	7.5%
Spain	1.3 × 10⁻¹¹	6.1%
Korea, Rep.	1.2 × 10⁻¹¹	5.6%
Moldova	1.0 × 10⁻¹¹	4.8%
Bulgaria	8.1 × 10⁻¹²	3.7%
Netherlands	6.1 × 10⁻¹²	2.8%
Germany	4.4 × 10⁻¹²	2.0%
Japan	3.6 × 10⁻¹²	1.7%
Poland	1.7 × 10⁻¹²	0.79%
Canada	1.0 × 10⁻¹²	0.47%
Argentina	9.9 × 10⁻¹³	0.45%
Russian Federation	9.8 × 10⁻¹³	0.44%
Latvia	8.7 × 10⁻¹³	0.39%
Austria	8.6 × 10⁻¹³	0.39%
India	7.4 × 10⁻¹³	0.33%
Czechia	6.9 × 10⁻¹³	0.31%
Belgium	5.7 × 10⁻¹³	0.26%
Guatemala	3.7 × 10⁻¹³	0.17%
Finland	3.1 × 10⁻¹³	0.14%
Australia	2.5 × 10⁻¹³	0.11%
Indonesia	8.9 × 10⁻¹⁴	<0.1%
Norway	2.4 × 10⁻¹⁴	<0.1%
Iran, Islamic Rep.	2.2 × 10⁻¹⁴	<0.1%
South Africa	1.3 × 10⁻¹⁴	<0.1%
Egypt, Arab Rep.	1.3 × 10⁻¹⁴	<0.1%
Saudi Arabia	5.4 × 10⁻¹⁵	<0.1%
China	3.9 × 10⁻¹⁵	<0.1%
Total	2.2 × 10⁻¹⁰	= the headline figure, 2.2 × 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
Work	2.0 × 10⁻¹⁰	91%
Conflict and political violence	2.1 × 10⁻¹¹	9.5%
Total	2.2 × 10⁻¹⁰	= the headline figure, 2.2 × 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
Not placed	2.0 × 10⁻¹⁰	91%
Jalisco Cartel New Generation - Sinaloa Cartel	4.1 × 10⁻¹²	1.9%
Jalisco Cartel New Generation - Santa Rosa de Lima Cartel	3.5 × 10⁻¹²	1.6%
Juarez Cartel - Sinaloa Cartel	3.1 × 10⁻¹²	1.4%
Carteles Unidos - Jalisco Cartel New Generation	2.4 × 10⁻¹²	1.1%
Turkey: Kurdistan	2.0 × 10⁻¹²	0.89%
Caborca Cartel, Sinaloa Cartel - Los Mayos - Sinaloa Cartel - Los Chapitos	1.4 × 10⁻¹²	0.61%
DZ Mafia - Yoda	1.0 × 10⁻¹²	0.45%
Cartel Independiente de Acapulco - Los Rusos, UPOEG	5.9 × 10⁻¹³	0.27%
Sinaloa Cartel - Los Chapitos - Sinaloa Cartel - Los Mayos	3.7 × 10⁻¹³	0.17%
Carteles Unidos, Guerreros Unidos - Los Tlacos	3.4 × 10⁻¹³	0.16%
Los Ardillos - Los Tlacos	2.5 × 10⁻¹³	0.11%
M18 - MS-13	2.2 × 10⁻¹³	0.10%
India: Kashmir	2.2 × 10⁻¹³	<0.1%
Kuki - Meitei	1.9 × 10⁻¹³	<0.1%
Jalisco Cartel New Generation - Zetas Vieja Escuela	1.8 × 10⁻¹³	<0.1%
India: Government	1.7 × 10⁻¹³	<0.1%
Russia (Soviet Union): Government	8.3 × 10⁻¹⁴	<0.1%
MS-13 - Civilians	8.0 × 10⁻¹⁴	<0.1%
CPI-Maoist - Civilians	7.8 × 10⁻¹⁴	<0.1%
M18 - Civilians	6.4 × 10⁻¹⁴	<0.1%
Indonesia: West Papua	5.6 × 10⁻¹⁴	<0.1%
Los Rusos, UPOEG - Los Tlacos	5.2 × 10⁻¹⁴	<0.1%
Jalisco Cartel New Generation - Civilians	4.7 × 10⁻¹⁴	<0.1%
IS - Civilians	4.4 × 10⁻¹⁴	<0.1%
Jalisco Cartel New Generation - Pájaros Sierra	4.3 × 10⁻¹⁴	<0.1%
Russia - Ukraine	4.1 × 10⁻¹⁴	<0.1%
PKK - Civilians	3.7 × 10⁻¹⁴	<0.1%
Government of Mexico - Civilians	3.6 × 10⁻¹⁴	<0.1%
Kashmir insurgents - Civilians	3.4 × 10⁻¹⁴	<0.1%
Los Ardillos - Los Rojos	3.1 × 10⁻¹⁴	<0.1%
Gulf Cartel - Los Zetas - Cártel del Noreste faction	3.0 × 10⁻¹⁴	<0.1%
OPM - Civilians	2.7 × 10⁻¹⁴	<0.1%
Iran: Government	1.8 × 10⁻¹⁴	<0.1%
Hindus (India) - Muslims (India)	1.5 × 10⁻¹⁴	<0.1%
Government of India - Civilians	1.3 × 10⁻¹⁴	<0.1%
Government of Egypt - Civilians	1.0 × 10⁻¹⁴	<0.1%
Gulf Cartel - Sinaloa Cartel	1.0 × 10⁻¹⁴	<0.1%
Gulf Cartel - Jalisco Cartel New Generation	1.0 × 10⁻¹⁴	<0.1%
CATA - Codeta	7.9 × 10⁻¹⁵	<0.1%
India: Western South East Asia	7.3 × 10⁻¹⁵	<0.1%
Government of Indonesia - Civilians	6.6 × 10⁻¹⁵	<0.1%
Yemen (North Yemen): Government	5.4 × 10⁻¹⁵	<0.1%
Government of South Africa - Civilians	5.2 × 10⁻¹⁵	<0.1%
Russia: Islamic State	4.3 × 10⁻¹⁵	<0.1%
Myanmar (Burma): Kachin	3.9 × 10⁻¹⁵	<0.1%
Myanmar (Burma): Government	3.6 × 10⁻¹⁵	<0.1%
VHP - Civilians	3.6 × 10⁻¹⁵	<0.1%
Egypt: Islamic State	2.1 × 10⁻¹⁵	<0.1%
Iran: Islamic State	2.0 × 10⁻¹⁵	<0.1%
India - Pakistan	1.8 × 10⁻¹⁵	<0.1%
India: Nagaland	1.8 × 10⁻¹⁵	<0.1%
NSCN-IM - Civilians	1.8 × 10⁻¹⁵	<0.1%
PLFI - Civilians	1.8 × 10⁻¹⁵	<0.1%
Guerreros Unidos - Los Tlacos	1.7 × 10⁻¹⁵	<0.1%
Russia (Soviet Union): Chechnya	1.7 × 10⁻¹⁵	<0.1%
Government of Iran - Civilians	1.5 × 10⁻¹⁵	<0.1%
Total	2.2 × 10⁻¹⁰	= the headline figure, 2.2 × 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	2.2 × 10⁻⁶	85%
Manufacture of basic metals	7.5 × 10⁻⁸	2.9%
Land transport and transport via pipelines	6.5 × 10⁻⁸	2.5%
Water transport	4.4 × 10⁻⁸	1.7%
Manufacture of other non-metallic mineral products	4.4 × 10⁻⁸	1.7%
Crop and animal production, hunting and related service activities	3.6 × 10⁻⁸	1.4%
Forestry and logging	2.8 × 10⁻⁸	1.1%
Warehousing and support activities for transportation	2.7 × 10⁻⁸	1.0%
Air transport	1.6 × 10⁻⁸	0.61%
Wholesale trade, except of motor vehicles and motorcycles	9.2 × 10⁻⁹	0.35%
Manufacture of fabricated metal products, except machinery and equipment	5.3 × 10⁻⁹	0.20%
Construction	4.1 × 10⁻⁹	0.16%
Manufacture of coke and refined petroleum products	3.9 × 10⁻⁹	0.15%
Manufacture of other transport equipment	3.6 × 10⁻⁹	0.14%
Electricity, gas, steam and air conditioning supply	3.6 × 10⁻⁹	0.14%
Postal and courier activities	3.4 × 10⁻⁹	0.13%
Retail trade, except of motor vehicles and motorcycles	3.1 × 10⁻⁹	0.12%
Manufacture of chemicals and chemical products	2.5 × 10⁻⁹	<0.1%
Water collection, treatment and supply	2.4 × 10⁻⁹	<0.1%
Security and investigation, service and landscape, office administrative and support activities	2.0 × 10⁻⁹	<0.1%
Rental and leasing activities	1.5 × 10⁻⁹	<0.1%
Sewerage, waste management, remediation activities	1.5 × 10⁻⁹	<0.1%
Public administration and defence; compulsory social security	1.4 × 10⁻⁹	<0.1%
Employment activities	1.3 × 10⁻⁹	<0.1%
Wholesale and retail trade and repair of motor vehicles and motorcycles	1.0 × 10⁻⁹	<0.1%
Manufacture of rubber and plastic products	8.0 × 10⁻¹⁰	<0.1%
Legal and accounting activities; activities of head offices; management consultancy activities	7.0 × 10⁻¹⁰	<0.1%
Manufacture of paper and paper products	6.8 × 10⁻¹⁰	<0.1%
Manufacture of machinery and equipment n.e.c.	5.7 × 10⁻¹⁰	<0.1%
Accommodation and food service activities	5.2 × 10⁻¹⁰	<0.1%
Manufacture of computer, electronic and optical products	4.5 × 10⁻¹⁰	<0.1%
Repair and installation of machinery and equipment	4.2 × 10⁻¹⁰	<0.1%
Manufacture of food products; beverages and tobacco products	4.0 × 10⁻¹⁰	<0.1%
Manufacture of motor vehicles, trailers and semi-trailers	3.9 × 10⁻¹⁰	<0.1%
Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials	3.4 × 10⁻¹⁰	<0.1%
Manufacture of textiles, wearing apparel, leather and related products	3.4 × 10⁻¹⁰	<0.1%
Manufacture of electrical equipment	3.3 × 10⁻¹⁰	<0.1%
Architectural and engineering activities; technical testing and analysis	2.4 × 10⁻¹⁰	<0.1%
Travel agency, tour operator reservation service and related activities	2.3 × 10⁻¹⁰	<0.1%
Human health activities	2.1 × 10⁻¹⁰	<0.1%
Real estate activities	2.0 × 10⁻¹⁰	<0.1%
Advertising and market research	1.6 × 10⁻¹⁰	<0.1%
Activities of membership organisations	1.5 × 10⁻¹⁰	<0.1%
Repair of computers and personal and household goods	1.5 × 10⁻¹⁰	<0.1%
Computer programming, consultancy, and information service activities	1.5 × 10⁻¹⁰	<0.1%
Other personal service activities	1.2 × 10⁻¹⁰	<0.1%
Financial service activities, except insurance and pension funding	1.1 × 10⁻¹⁰	<0.1%
Printing and reproduction of recorded media	1.0 × 10⁻¹⁰	<0.1%
Other professional, scientific and technical activities; veterinary activities	9.9 × 10⁻¹¹	<0.1%
Manufacture of furniture; other manufacturing	9.3 × 10⁻¹¹	<0.1%
Telecommunications	7.9 × 10⁻¹¹	<0.1%
Sports activities and amusement and recreation activities	7.1 × 10⁻¹¹	<0.1%
Fishing and aquaculture	6.9 × 10⁻¹¹	<0.1%
Manufacture of basic pharmaceutical products and pharmaceutical preparations	6.8 × 10⁻¹¹	<0.1%
Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities	5.7 × 10⁻¹¹	<0.1%
Education	4.7 × 10⁻¹¹	<0.1%
Activities auxiliary to financial services and insurance activities	3.4 × 10⁻¹¹	<0.1%
Insurance, reinsurance and pension funding, except compulsory social security	3.1 × 10⁻¹¹	<0.1%
Motion picture, video, television programme production; programming and broadcasting activities	3.0 × 10⁻¹¹	<0.1%
Publishing activities	2.3 × 10⁻¹¹	<0.1%
Scientific research and development	2.0 × 10⁻¹¹	<0.1%
Residential care activities and social work activities without accommodation	1.4 × 10⁻¹¹	<0.1%
Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use	1.6 × 10⁻¹²	<0.1%
Total	2.6 × 10⁻⁶	= the headline figure, 2.6 × 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	2.3 × 10⁻⁶	86%
Mexico	2.1 × 10⁻⁷	7.8%
Turkiye	3.6 × 10⁻⁸	1.4%
Brazil	3.1 × 10⁻⁸	1.2%
Russian Federation	2.5 × 10⁻⁸	0.95%
United States	1.9 × 10⁻⁸	0.71%
Korea, Rep.	8.5 × 10⁻⁹	0.32%
Canada	8.1 × 10⁻⁹	0.31%
France	5.5 × 10⁻⁹	0.21%
India	4.0 × 10⁻⁹	0.15%
Japan	3.7 × 10⁻⁹	0.14%
Italy	3.6 × 10⁻⁹	0.14%
Germany	3.3 × 10⁻⁹	0.13%
Spain	3.2 × 10⁻⁹	0.12%
Indonesia	2.9 × 10⁻⁹	0.11%
Poland	2.6 × 10⁻⁹	<0.1%
Argentina	1.8 × 10⁻⁹	<0.1%
Portugal	1.5 × 10⁻⁹	<0.1%
Australia	1.4 × 10⁻⁹	<0.1%
Romania	9.9 × 10⁻¹⁰	<0.1%
Czechia	9.0 × 10⁻¹⁰	<0.1%
Bulgaria	8.9 × 10⁻¹⁰	<0.1%
Austria	6.7 × 10⁻¹⁰	<0.1%
Greece	5.6 × 10⁻¹⁰	<0.1%
Cyprus	3.9 × 10⁻¹⁰	<0.1%
Belgium	3.8 × 10⁻¹⁰	<0.1%
Sweden	3.6 × 10⁻¹⁰	<0.1%
Croatia	3.4 × 10⁻¹⁰	<0.1%
Latvia	3.3 × 10⁻¹⁰	<0.1%
Hungary	3.3 × 10⁻¹⁰	<0.1%
Lithuania	2.8 × 10⁻¹⁰	<0.1%
Slovak Republic	2.6 × 10⁻¹⁰	<0.1%
Denmark	2.4 × 10⁻¹⁰	<0.1%
Norway	2.4 × 10⁻¹⁰	<0.1%
Netherlands	2.3 × 10⁻¹⁰	<0.1%
Switzerland	2.1 × 10⁻¹⁰	<0.1%
Finland	2.0 × 10⁻¹⁰	<0.1%
Saudi Arabia	1.9 × 10⁻¹⁰	<0.1%
Slovenia	1.7 × 10⁻¹⁰	<0.1%
South Africa	9.3 × 10⁻¹¹	<0.1%
Ireland	9.1 × 10⁻¹¹	<0.1%
Estonia	7.8 × 10⁻¹¹	<0.1%
China	4.4 × 10⁻¹¹	<0.1%
Luxembourg	4.3 × 10⁻¹¹	<0.1%
United Kingdom	3.9 × 10⁻¹¹	<0.1%
Malta	3.0 × 10⁻¹¹	<0.1%
Serbia	1.6 × 10⁻¹⁴	<0.1%
Total	2.6 × 10⁻⁶	= the headline figure, 2.6 × 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.
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HumanToll 2026, run 2259, methodology v1.0. https://quiescence.eu/humantoll/explain/glass/

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