Fayette, MS
Fayette, MS's wildfire risk, in USFS's own numbers
Fayette sits at the 72nd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 794 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Fayette at the 74th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Fayette's building exposure, zone by zone
Direct exposure dominates in Fayette: 59.8% of its 794 buildings, versus 40.2% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Fayette ranks
Fayette scores 72nd nationally and 64th within Mississippi — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Fayette ranks 8,887 for wildfire risk (1 is highest) and 13,693 by building count (1 is largest). Within Mississippi alone, it ranks 152 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
Fayette and the insurance market
At the 72nd percentile nationally, Fayette 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.
Hardening a home in Fayette
With 59.8% of Fayette 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 Fayette's figures come from
The methodology guide shows exactly how USFS turned 794 counted buildings into the percentiles shown above for Fayette. The exposure-zones guide covers what Fayette's dominant direct exposure actually means, with real examples from across the dataset.