Port Sulphur, LA
Port Sulphur, LA's wildfire risk, in USFS's own numbers
Port Sulphur's 1,009 buildings earn a 44th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Port Sulphur's burn probability — fire likelihood with no building count factored in — sits at the 30th percentile nationally.
Port Sulphur's building exposure, zone by zone
59.9% of Port Sulphur's 1,009 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 37.6% Direct and 2.6% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Port Sulphur ranks
Port Sulphur's risk sits at a similar level relative to Louisiana (45th percentile statewide) as it does nationally (44th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Port Sulphur ranks 17,679 for wildfire risk (1 is highest) and 11,868 by building count (1 is largest). Within Louisiana alone, it ranks 269 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.
What this risk score means for insurance
Port Sulphur's elevated wildfire rating (44th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Because 59.9% of Port Sulphur's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Port Sulphur's figures come from
Every one of the two percentiles behind Port Sulphur's 17,679-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Port Sulphur's dominant indirect exposure actually means, with real examples from across the dataset.