EPA GHGRP · reporting year 2023 · Metals

Mississippi Silicon - per-facility CO₂e intensity

According to the EPA's Greenhouse Gas Reporting Program (GHGRP), high per-facility intensity (130K MT/site) across 1 reporting facility in 1 state.

MT CO₂e (latest facility reports)
130K
Reporting facilities
1
States covered
1
Overall rank
#923
Watchlist RSS for this company

Data updated May 2026

130K MT CO₂e · 2023

Mississippi Silicon averages 130K MT CO₂e per reporting facility (high-intensity NTILE) on 130K MT total in 2023.

  • Overall rank #923 of 2,289
  • #49 in Metals
  • +8.5% since 2016

Mississippi Silicon vs all U.S. GHGRP parent companies

Where this parent's reported Scope 1 CO₂e sits among every EPA GHGRP-reporting company

130,484 923rd of 2289 higher than 1,366 of 2,289 companies

GHGRP parent companies, banded by reported CO₂e (MT)

Each bar is a band; taller bars hold more companies. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source EPA Greenhouse Gas Reporting Program · 2023

How Mississippi Silicon spreads its footprint vs Metals peers

Facility count against total reported CO₂e for 21 Metals companies. A company can lead its sector from one concentrated site or from many smaller ones; the split below uses the median of this peer group (3 facilities, 0.8M MT).

Median split: 3 facilities, 0.8M MT CO₂e among Metals peers. 2×2 strategic matrix plotting 21 entities by Reporting facilities (X) and Total CO₂e (million MT) (Y), with a crosshair dividing the plot into four quadrants. Large & distributedFew sites, outsized footprintMany sites, modest footprintSmall & concentrated 0102030 0M10M20M30M Reporting facilities Total CO₂e (million MT) Facility count vs. total reported CO₂e, Metals
Median split: 3 facilities, 0.8M MT CO₂e among Metals peers.

You are here: Mississippi Silicon.

Metals peer footprint table: Mississippi Silicon, 1 facilities, 0.13M MT CO2e. Cleveland-Cliffs, 26 facilities, 27.37M MT CO2e. US Steel, 13 facilities, 19.41M MT CO2e. Nucor, 24 facilities, 5.57M MT CO2e. Alcoa, 3 facilities, 5.16M MT CO2e. Suncoke Energy, 5 facilities, 3.27M MT CO2e. Steel Dynamics, 10 facilities, 2.54M MT CO2e. Century Aluminum, 3 facilities, 0.99M MT CO2e. Globe Specialty Metals, 4 facilities, 0.92M MT CO2e. Commercial Metals, 8 facilities, 0.86M MT CO2e. Gerdau USA, 9 facilities, 0.84M MT CO2e. Gramercy Holdings I, 1 facilities, 0.8M MT CO2e. Ssab US Holding, 2 facilities, 0.63M MT CO2e. Novelis, 6 facilities, 0.63M MT CO2e. Arconic, 4 facilities, 0.63M MT CO2e. Arcelormittal Holdings, 2 facilities, 0.62M MT CO2e. Am/ns Calvert, 1 facilities, 0.56M MT CO2e. Bluescope Steel Investments, 1 facilities, 0.44M MT CO2e. Pinnacle Mountain Holding Co III, 1 facilities, 0.38M MT CO2e. Proterial America, 2 facilities, 0.38M MT CO2e. Magnitude 7 Metals, 1 facilities, 0.38M MT CO2e.

EPA GHGRP inventory plate

Parent mississippi-silicon · 2023 #923 · 130K MT

CO2E-MODEST · MID-PACK · PHOTO-FINISH · FAC-SINGLE · SPAN-HOME · SECTOR-METALS · TREND-UP · BOOK-RICH

  • CO2E-MODEST 130K MT
  • MID-PACK #923/2289
  • PHOTO-FINISH Atmos Energy · Petroleum and…
  • FAC-SINGLE 1 facility
  • SPAN-HOME 1 state
  • SECTOR-METALS Metals
  • TREND-UP +9% since 2016
  • BOOK-RICH 7/8 fields

Nearest CO₂e peer: Atmos Energy · Petroleum and Natural Gas Systems (±71 MT)

Instrument codes from this parent’s EPA GHGRP rollup: CO₂e band, corpus rank, photo-finish peer, facility book, state span, sector, trend, and book completeness. Not an EPA grade or compliance rating.

2023 nearly all-CO₂ parent book

This parent's 2023 facility book is almost entirely CO₂ (98.8% of 130K MT CO₂e). CH₄ and N₂O together are only 1.2%, a CO₂-shaped GHGRP profile, not a methane story. Component shares sum this parent's facility CO₂ / CH₄ / N₂O rows for that year, not a corporate Scope 1-3 inventory.

CO₂
98.8%
129K MT
CH₄
1.2%
2K MT
N₂O
0%
1 MT

CO₂e neighbourhood around Mississippi Silicon

Lowest and highest poles plus nearest reported parents by CO₂e, not a full GHGRP corpus board reprint.

Vistra · Power Plants · high…86.3MCounty of Yakima · Waste · n…131KAtmos Energy · Petroleum a… …131KMississippi Silicon · Metals…130KSeaboard · Other · near130KCity of San Antonio T… · Was…130KPelican Renewables · Other ·…0
EPA GHGRP parent CO₂e · neighbourhood around Mississippi Silicon · May 2026

Reported emissions over time

Mississippi Silicon - annual reported GHG emissions

EPA GHGRP 2016–2023 · million metric tons CO₂e

Reported CO₂e in 2023
130K MT
8 annual EPA GHGRP reporting records
0.12M0.12M0.13M0.13M0.14M0.14M0.14M 20162017201820192020202120222023 0.13M

Mississippi Silicon annual reported GHG emissions, 2016–2023

Source: EPA Greenhouse Gas Reporting Program (GHGRP) As of Reporting year 2023

Mississippi Silicon reported 130K MT CO₂e in 2023, compared with 120K MT in 2016 - a rise of 8.5% across the EPA GHGRP reporting record.

Facilities (1)

Facility Emissions (MT CO2e)
Mississippi Silicon
Metals
Burnsville, MS
130K

Nationwide parents with similar intensity profiles

Intensity-led peer sets around 130K MT per facility, plus nearest totals and facility-book matches.

Source: EPA GHGRP Data is based on facility self-reporting. Not environmental compliance advice

What to do with this

Using Mississippi Silicon's emissions profile

  • Mississippi Silicon runs high-intensity per facility (130K MT CO₂e/site); see how it stacks up against the rest of the Metals sector on the Metals industry page.
  • It ranks #923 of 2,289 reporting parents nationwide, compare it directly against specific peers on the compare tool.
  • Not sure how to read a total-CO₂e figure or a per-facility intensity number, the how-to-read guide walks through what each field means and what it doesn't.

Related reading: How to read an emissions profile · Metals emitters · Methodology

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the EPA Greenhouse Gas Reporting Program (GHGRP). Consult a qualified professional before making decisions based on this data.