TRI facility · TRI 2024 reporting year

Schneider Electric

Total reported releases 32 lb fell sharply year over year (-55%). Total releases concentrations have more than halved since 2023.

1601 NORTHWESTERN DR, El Paso, Texas · 335313 · Electrical Equipment · operated by Schneider Electric USA INC

TOTAL RELEASES · 20232024
Bar chart of annual values from 2023 to 2024, in lb. Most recent year (2024): 32.71'23'2432
Anomaly engine

Notable Signals

No notable signals at this facility for the current reporting year. See chemicals and equity context below for the full picture.

Chemicals reported · most recent year

What This Facility Releases

RESPIRATORYCAS 7439-96-5

Manganese

12 lb · -76% YoY

Manganese concentrations have more than halved since 2023.

GENERALCAS 7440-50-8

Copper

10 lb · 0% YoY

Copper concentrations are roughly unchanged from 2023.

CARCINOGENCAS 7440-02-0

Nickel

10 lb · -17% YoY

Nickel concentrations have fallen 17% since 2023.

Equity context · ACS 2018-2022 block-group demographics

Who Lives Next To This Facility

Within 3 miles of this facility (33 Census block groups, population-weighted demographics): a population of 61,867. Why we surface this →

POPULATION SHARE
24.6%

Low-income

POPULATION SHARE
82.1%

People of color

POPULATION SHARE
6.1%

Under age 5

POPULATION SHARE
10.6%

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.