WildfireRiskFinder

Dumas, MS

How exposed is Dumas to wildfire?

High
77thpercentile nationally

Out of every US place USFS scores, Dumas lands at the 77th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 347 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Dumas at the 79th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.

Dumas's building exposure, zone by zone

347Total buildings
100%Direct exposure
0%Indirect exposure
0%Minimal exposure

347 buildings are counted in Dumas, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.

How Dumas compares

There's little gap between Dumas's 77th national percentile and its 75th percentile inside Mississippi, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Dumas ranks 7,311 for wildfire risk (1 is highest) and 20,399 by building count (1 is largest). Within Mississippi alone, it ranks 106 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

Dumas's high rating (77th 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.

What would actually reduce this score

Because Direct exposure dominates in Dumas (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Dumas's figures come from

The methodology guide shows exactly how USFS turned 347 counted buildings into the percentiles shown above for Dumas. The exposure-zones guide covers what Dumas's dominant direct exposure actually means, with real examples from across the dataset.