Mantachie, MS
How exposed is Mantachie to wildfire?
USFS scores Mantachie at the 62nd national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 687 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mantachie at the 65th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
687 buildings are counted in Mantachie, and 67.3% 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 Mantachie compares
Mantachie's 62nd national percentile looks worse in isolation than its 38th ranking inside Mississippi does — this place is on the milder end for its own state, by 24 points. Among the 31,521 US communities USFS scores, Mantachie ranks 11,945 for wildfire risk (1 is highest) and 14,797 by building count (1 is largest). Within Mississippi alone, it ranks 261 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
Shopping for coverage in Mantachie
At the 62nd percentile nationally, Mantachie carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
With 67.3% of Mantachie in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Mantachie's figures come from
The methodology guide shows exactly how USFS turned 687 counted buildings into the percentiles shown above for Mantachie. The exposure-zones guide covers what Mantachie's dominant direct exposure actually means, with real examples from across the dataset.