Mantee, MS
Mantee wildfire risk explained
USFS scores Mantee at the 64th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 216 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mantee's burn probability — fire likelihood with no building count factored in — sits at the 65th percentile nationally.
What "at risk" means for the buildings here
216 buildings are counted in Mantee, and 99.5% 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.
Where Mantee ranks
Inside Mississippi, Mantee sits at just the 42nd percentile even though it scores 64th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Mantee ranks 11,504 for wildfire risk (1 is highest) and 24,273 by building count (1 is largest). Within Mississippi alone, it ranks 247 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
At the 64th percentile nationally, Mantee 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 99.5% of Mantee 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 Mantee's figures come from
Mantee's 64th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Mantee's dominant direct exposure actually means, with real examples from across the dataset.