Gattman, MS
How exposed is Gattman to wildfire?
Gattman sits at the 55th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 83 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Gattman at the 58th percentile, close to its 55th-percentile risk score.
Gattman's building exposure, zone by zone
Direct exposure dominates in Gattman: 78.3% of its 83 buildings, versus 21.7% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Gattman ranks
Gattman ranks lower within Mississippi (25th percentile statewide) than its 55th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Gattman ranks 14,058 for wildfire risk (1 is highest) and 29,764 by building count (1 is largest). Within Mississippi alone, it ranks 317 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
Gattman's elevated wildfire rating (55th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
With 78.3% of Gattman 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 Gattman's figures come from
The methodology guide shows exactly how USFS turned 83 counted buildings into the percentiles shown above for Gattman. The exposure-zones guide covers what Gattman's dominant direct exposure actually means, with real examples from across the dataset.