Finished product · Transport
Petrol car
One midsize petrol car of 1,385 kg
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.
A midsize internal-combustion sedan, the average of three high-market-share US models measured part by part in the A2Mac1 teardown dataset and published by Argonne for the GREET vehicle cycle. 1,385 kg: 862 kg of steel, 177 kg of aluminium, 210 kg of plastic. Production only — the fuel it burns for a decade is not here, and for a car that is most of its toll (Phase E).
- Overall grade — high
- Status — draft
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The human cost, per item
One item is one midsize petrol car of 1,385 kg. Scenario Evidence-weighted, 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
1.1 × 10⁻⁶ per item(0.74–1.8 × 10⁻⁶)LOWS-EVID · run 2193 · methodology v0.1 · data dv-20261007-44r
The product’s list of materials traces 75% 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
7.8 × 10⁻⁶ per item(0.60–1.1 × 10⁻⁵)LOWS-EVID · run 2193 · methodology v0.1 · data dv-20261007-44r
The product’s list of materials traces 75% 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 — 1.0 × 10⁻⁶ per €1,000 spent in its industry(0.69–1.6 × 10⁻⁶)MEDIUMS-EVID · run 2193 · methodology v0.1 · data dv-20261007-44r
- Injuries — 8.3 × 10⁻⁵ per €1,000 spent in its industry(0.57–1.2 × 10⁻⁴)MEDIUMS-EVID · run 2193 · methodology v0.1 · 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 human terms
One death for every 560,000 – 1.4 million items.
By the money method, about €630 million – €1.4 billion 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 |
|---|---|---|
| Coal and lignite | 56% | 6.3 × 10⁻⁷ |
| Copper | 43% | 4.9 × 10⁻⁷ |
| Iron ore | 1.4% | 1.6 × 10⁻⁸ |
| Bauxite | 0.36% | 4.2 × 10⁻⁹ |
| Silica sand | <0.1% | 9.3 × 10⁻¹⁰ |
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.
- Petrol car
- Coal and lignite 56% of the figure
- Ukraine 55% of the figure
- Conflict and political violence 97% of the figure
- Russia - Ukraine 55% 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.
- 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.
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- 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.
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 2193, methodology v0.1. https://quiescence.eu/humantoll/product/petrol-car/
What it is made of
Each line is one part of one midsize petrol car of 1,385 kg: 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 |
|---|---|---|
|
Steel
part |
862 kg | Kelly and Winjobi (2020), Update of Vehicle Material Compositions in the GREET Model, Arg…
· high
Table A-1, average vehicle component weight based on the A2Mac1 dataset: Car: 1900.07 lb of steel summed over all 29 component rows, which is 861.9 kg of the car's 1385 kg |
|
Average plastic — polymers not named by the source part |
210 kg | Kelly and Winjobi (2020), Update of Vehicle Material Compositions in the GREET Model, Arg…
· high
Table A-1, average vehicle component weight based on the A2Mac1 dataset: Car: 463.28 lb of average plastic summed over all 29 component rows, which is 210.1 kg of the car's 1385 kg. The source does not name the polymers. The catalogue's plastics product has no sourced composition yet, so this mass is carried by name and reaches no supply chain rather than through an empty chain |
|
Aluminium
part |
177 kg | Kelly and Winjobi (2020), Update of Vehicle Material Compositions in the GREET Model, Arg…
· high
Table A-1, average vehicle component weight based on the A2Mac1 dataset: Car: 389.43 lb of aluminium summed over all 29 component rows, which is 176.6 kg of the car's 1385 kg (295.51 lb cast, mostly wheels, and 93.92 lb wrought) |
|
Rubber part |
50.1 kg | Kelly and Winjobi (2020), Update of Vehicle Material Compositions in the GREET Model, Arg…
· high
Table A-1, average vehicle component weight based on the A2Mac1 dataset: Car: 110.55 lb of rubber summed over all 29 component rows, which is 50.1 kg of the car's 1385 kg. Tyres are inside this figure, so the catalogue's car tyre is NOT also counted here: that would be the same rubber twice |
|
Copper
part |
34.4 kg | Kelly and Winjobi (2020), Update of Vehicle Material Compositions in the GREET Model, Arg…
· high
Table A-1, average vehicle component weight based on the A2Mac1 dataset: Car: 75.84 lb of copper and brass summed over all 29 component rows, which is 34.4 kg of the car's 1385 kg. Brass is copper and zinc; the source does not split them |
|
Glass
part |
32.6 kg | Kelly and Winjobi (2020), Update of Vehicle Material Compositions in the GREET Model, Arg…
· high
Table A-1, average vehicle component weight based on the A2Mac1 dataset: Car: 71.8 lb of glass summed over all 29 component rows, which is 32.6 kg of the car's 1385 kg |
|
Glass fibre-reinforced plastic part |
12.8 kg | Kelly and Winjobi (2020), Update of Vehicle Material Compositions in the GREET Model, Arg…
· high
Table A-1, average vehicle component weight based on the A2Mac1 dataset: Car: 28.28 lb of glass fibre-reinforced plastic summed over all 29 component rows, which is 12.8 kg of the car's 1385 kg |
|
Other materials not named by the source part |
6.30 kg | Kelly and Winjobi (2020), Update of Vehicle Material Compositions in the GREET Model, Arg…
· high
Table A-1, average vehicle component weight based on the A2Mac1 dataset: Car: 13.89 lb of materials the source files under 'others' summed over all 29 component rows, which is 6.3 kg of the car's 1385 kg |
|
Magnesium part |
354 g | Kelly and Winjobi (2020), Update of Vehicle Material Compositions in the GREET Model, Arg…
· high
Table A-1, average vehicle component weight based on the A2Mac1 dataset: Car: 0.78 lb of magnesium summed over all 29 component rows, which is 0.4 kg of the car's 1385 kg. Magnesium is not in HumanToll's materials register |
Down to raw materials
The whole chain worked out — everything one midsize petrol car of 1,385 kg needs, through every product in between, with all the waste along the way included.
| Input | Per item |
|---|---|
| Bauxite | 707 kg |
| Coal and lignite | 509 kg |
| Copper | 34.4 kg |
| Iron ore | 978 kg |
| Silica sand | 23.8 kg |
| Average plastic — polymers not named by the source (not in the register) | 210 kg |
| Electricity, electric arc furnace route (not in the register) | 165 kWh |
| Glass fibre-reinforced plastic (not in the register) | 12.8 kg |
| Limestone (not in the register) | 186 kg |
| Limestone (calcium carbonate) (not in the register) | 7.27 kg |
| Magnesium (not in the register) | 354 g |
| Other materials not named by the source (not in the register) | 6.30 kg |
| Other oxides (not in the register) | 163 g |
| Recycled steel (scrap) (not in the register) | 259 kg |
| Rubber (not in the register) | 50.1 kg |
| Soda ash (sodium carbonate) (not in the register) | 7.80 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 2.99 t of materials, waste included. 75% of that is raw materials the model knows — the part it can trace harm to — 25% 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 motor vehicles, trailers and semi-trailers” (FIGARO industry C29).
In the table of what industries buy from each other it belongs to “Manufacture of motor vehicles, trailers and semi-trailers” (FIGARO industry C29).