Semi-finished product · Food ingredients
Refined sugar
One kilogram of refined white sugar
This page shows what the product is made of and where each figure comes from. It does not show a death toll. The toll is calculated from this list of materials, and will be published only once it has a range and the model has passed its test on past years.
Refined white sugar from sugar beet at France's rates: raw sugar is 15% of the beet and refined sugar 92% of the raw. The register's sugar is cane and beet together, in tonnes of the crop. Processing energy is not included.
- Overall grade — medium
- Status — draft
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The human cost, per item
One item is one kilogram of refined white sugar. 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.
Deaths
6.1 × 10⁻⁹ per item(0.24–1.5 × 10⁻⁸)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r
The product’s list of materials traces 100% of its weight to raw materials the model knows. The rest carries no harm in this method, which is why this method gives a floor.
Injuries
3.2 × 10⁻⁷ per item(1.3–7.9 × 10⁻⁷)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r
The product’s list of materials traces 100% of its weight to raw materials the model knows. The rest carries no harm in this method, which is why this method gives a floor.
Deaths and injuries at work in these figures come from the 53 countries that reported work deaths and the 52 that reported work injuries for 2023.
Harm at work is counted as each country reports it to the UN’s labour statistics (ILOSTAT), and never estimated for a country that did not report: such a country is missing from that year, not counted as zero. So when two years’ figures differ, part of the difference can be a change in which countries reported. The model’s own year-to-year checks compare only countries that reported in both years.
Deaths: Argentina, Australia, Austria, Azerbaijan, Belarus, Belgium, Bulgaria, Canada, Colombia, Croatia, Cyprus, Czechia, Denmark, Ecuador, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea, Rep., Latvia, Lithuania, Luxembourg, Malta, Mauritius, Moldova, Mongolia, Netherlands, Norway, Panama, Poland, Portugal, Romania, Russian Federation, Singapore, Slovak Republic, Slovenia, Spain, Sri Lanka, Sweden, Switzerland, Thailand, Turkiye, Turkmenistan, United States, Uzbekistan
Injuries: Argentina, Australia, Austria, Azerbaijan, Belarus, Belgium, Bulgaria, Canada, Colombia, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Latvia, Lithuania, Luxembourg, Malta, Mauritius, Moldova, Mongolia, Netherlands, Norway, Panama, Poland, Portugal, Romania, Seychelles, Singapore, Slovak Republic, Slovenia, Spain, Sri Lanka, St. Vincent and the Grenadines, Sweden, Switzerland, Thailand, Turkiye, Turkmenistan, United States, Uzbekistan
The money method — per €1,000 spent
- Deaths — 3.4 × 10⁻⁶ per €1,000 spent in its industry(2.2–5.2 × 10⁻⁶)MEDIUMS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r
- Injuries — 9.2 × 10⁻⁵ per €1,000 spent in its industry(0.62–1.4 × 10⁻⁴)MEDIUMS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r
Two methods, never added together. The materials method counts only what the product’s list of materials reaches, so it is a floor. The money method counts the whole supply chain of the industry for each euro spent, so in principle it misses nothing — but it cannot see what this particular product is made of.
In words
This page gives the model's estimate, for the reference year 2023, of deaths and injuries attributed to the supply chain of refined sugar, counted per kilogram of refined white sugar, under the Economic-embedded scenario. The figure is a floor and counts the production phase only. On the material route, which follows only the raw materials listed, deaths are 6.1 × 10⁻⁹ deaths per item(0.24–1.5 × 10⁻⁸)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r and injuries are 3.2 × 10⁻⁷ injuries per item(1.3–7.9 × 10⁻⁷)LOWS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r. On the monetary route, which covers the whole industry chain, deaths are 3.4 × 10⁻⁶ deaths per €1,000 spent in its industry(2.2–5.2 × 10⁻⁶)MEDIUMS-MAX · run 2259 · methodology v1.0 · data dv-20261007-44r. That corresponds to one death for every 67 million – 420 million kilograms of refined white sugar.
By raw material, Sugar has the largest share, 100%. By country, Ukraine has the largest share, 46%. By conflict, Russia - Ukraine has the largest share, 46%. Harm the run could not place is also among the largest entries in the conflict view, 10%. On the monetary route, Crop and animal production, hunting and related service activities has the largest share, 69%. These are separate views of the same total and do not link entries.
Written by an AI language model (claude-sonnet-5-5 (Claude Code; reviewed by claude-opus-5-5)) on 2026-10-14, from the figures on this page. It wrote no numbers itself: each number was put in by the page from the calculation, and any text that wrote a number of its own, or mentioned anything its evidence does not contain, was thrown away unseen.
In human terms
One death for every 67 million – 420 million items.
By the money method, about €190 million – €450 million of spending in its industry for each death.
Rounded so that it stays within the range, so the sentence never claims more than the range does.
Under each scenario
Five answers to how much of the harm counted in a place is linked to its economy. Same product, same year, same trade table: only the rule for linking harm to the economy changes.
- S-MAX Economic-embedded
- S-EVID Evidence-weighted
- S-RES Resource-only
- S-ARMS Arms and resources
- S-CONS Conservative
Where it comes from
By raw material — the materials method
By industry — the money method
Where the harm was counted
Every material, in full
| Material | Share | Deaths per item |
|---|---|---|
| Sugar | 100% | 6.1 × 10⁻⁹ |
The chain, step by step
The largest step at each stage of the model. Each links to the full account, where every stage adds up to the headline figure.
- Refined sugar
- Sugar 100% of the figure
- Ukraine 46% of the figure
- Conflict and political violence 90% of the figure
- Russia - Ukraine 46% of the figure
Sources behind this figure
Every data file that went into this figure in this calculation, with the credit its licence asks for.
- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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What this figure is not
Production phase only. Harm from using the product — driving the car, charging the phone — is not in this figure.
- A floor: harm that cannot be linked to the product is not counted, so the true figure is higher.
- Whatever the list of materials does not name, and harm the records do not hold, is missing from it — the traced share above says how much.
- Its confidence grade is low, judged from how wide the range is, how many steps the figure passed through, and how well its inputs are known.
Beside the most similar products
The two products whose deaths per kilogram are closest to this one’s, by the materials method.
Cite this figure
HumanToll 2026, run 2259, methodology v1.0. https://quiescence.eu/humantoll/product/refined-sugar/
What it is made of
Each line is one part of one kilogram of refined white sugar: how much of it goes in, how much had to be produced to get that much (some is wasted along the way), and where the figure comes from.
| Component | Quantity | Source |
|---|---|---|
|
Sugar
ingredient |
1.00 kg × 7.25 produced for it |
FAO Statistics Division, Technical Conversion Factors for Agricultural Commodities — nati…
· medium
France: raw sugar 15% of sugar beet and refined sugar 92% of raw (printed p. 542), so 1 / (0.15 × 0.92) kg of beet |
Down to raw materials
The whole chain worked out — everything one kilogram of refined white sugar needs, through every product in between, with all the waste along the way included.
| Input | Per item |
|---|---|
| Sugar | 7.25 kg |
An input marked “not in the register” is counted by weight but is not yet linked to any supply chain. Services such as transport appear as the euros, or tonnes carried a kilometre, that the list of materials gives them.
How much of it is known in detail
100% of this product’s weight is listed in detail in its own list of materials.
Its whole chain uses 7.25 kg of materials, waste included. 100% of that is raw materials the model knows — the part it can trace harm to — 0% is inputs not yet on the list, and 0% is an openly stated remainder.
In the table of what industries buy from each other it belongs to “Manufacture of food products; beverages and tobacco products” (FIGARO industry C10-12).
In the table of what industries buy from each other it belongs to “Manufacture of food products; beverages and tobacco products” (FIGARO industry C10T12).
What uses it
Products whose own list of materials includes this one.
- Chocolate bar — 44.5 g in one 100 g bar of dark chocolate, unwrapped
- Croissant — 5.00 g in one butter croissant as made — 123 g of dough — with its 3 g of packaging