WildfireRiskFinder

Beaumont, MS

How exposed is Beaumont to wildfire?

Very High
86thpercentile nationally

Beaumont's 602 buildings earn a 86th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Beaumont at the 88th percentile, close to its 86th-percentile risk score.

Where Beaumont's buildings actually sit

602Total buildings
74.4%Direct exposure
25.6%Indirect exposure
0%Minimal exposure

74.4% of Beaumont's 602 buildings sit in USFS's Direct exposure zone, roughly 448 structures close enough to burnable vegetation for flame contact, not just embers — 25.6% fall in the Indirect, ember-only zone and 0% are Minimal.

Where Beaumont ranks

There's little gap between Beaumont's 86th national percentile and its 90th percentile inside Mississippi, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Beaumont ranks 4,376 for wildfire risk (1 is highest) and 15,814 by building count (1 is largest). Within Mississippi alone, it ranks 45 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.

What this risk score means for insurance

Beaumont's very high rating (86th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Hardening a home in Beaumont

Because Direct exposure dominates in Beaumont (74.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Beaumont's figures come from

The methodology guide shows exactly how USFS turned 602 counted buildings into the percentiles shown above for Beaumont. The exposure-zones guide covers what Beaumont's dominant direct exposure actually means, with real examples from across the dataset.