Manganese And Manganese Compounds
Manganese And Manganese Compounds releases at Fca US Warren Truck Assembly Plant fell from 44k lb to 0 lb (100% lower) between 2023 and 2024.
Total reported releases 531k lb held roughly steady year over year (+3%). Total releases concentrations have fallen 21% since 2010.
21500 MOUND RD, Warren, Michigan · 336110 · Transportation Equipment · operated by Fca US LLC
Manganese And Manganese Compounds releases at Fca US Warren Truck Assembly Plant fell from 44k lb to 0 lb (100% lower) between 2023 and 2024.
n-Butyl alcohol at Fca US Warren Truck Assembly Plant have more than halved since 2010 (through 2024).
Xylene (mixed isomers) concentrations are roughly unchanged from 2010.
1,2,4-Trimethylbenzene concentrations have fallen 24% since 2010.
Methyl isobutyl ketone concentrations are up 59% since 2010.
Ethylbenzene concentrations have fallen 10% since 2010.
Zinc compounds concentrations have more than doubled since 2010.
n-Butyl alcohol concentrations have more than halved since 2010.
Toluene concentrations have fallen 49% since 2010.
Cumene concentrations have more than halved since 2010.
Within 3 miles of this facility (107 Census block groups, population-weighted demographics): a population of 117,120. Why we surface this →
Low-income
People of color
Under age 5
Over age 64
Source: Census ACS 2018-2022 block-group demographics, population-weighted across the 3-mile buffer around this facility (from USEPA-clone/EJAM-open blockgroupstats). Indicator-level percentile and EJ-disparity scores are surfaced on the county page and the state page — they describe wider regional exposure burdens, not effects attributable to a single facility.
Source. EPA Toxics Release Inventory · retrieved 2026-05-07. Reporting year 2024. TRI is a federal public-domain dataset under 17 USC §105.
What this is not. TRI quantifies releases reported by the facility under EPCRA §313 — not ambient air or water concentrations measured at receptors. We do not attribute individual health outcomes to specific facilities; that exceeds what the data can support.