Plantersville, MS
Plantersville wildfire risk explained
Plantersville's 472 buildings earn a 56th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Plantersville's burn probability — fire likelihood with no building count factored in — sits at the 59th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 78.4% of Plantersville's buildings as Direct exposure, higher than its 21.6% Indirect share and far above its 0% Minimal share — a profile where 370 structures sit close enough to vegetation that lot clearing matters most.
How Plantersville compares
Plantersville ranks lower within Mississippi (27th percentile statewide) than its 56th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Plantersville ranks 13,708 for wildfire risk (1 is highest) and 17,840 by building count (1 is largest). Within Mississippi alone, it ranks 309 of 420 places by risk. See the full county-by-county picture for Mississippi on its state page.
Plantersville and the insurance market
Plantersville's elevated wildfire rating (56th 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.
Hardening a home in Plantersville
With 78.4% of Plantersville 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 Plantersville's figures come from
Every one of the two percentiles behind Plantersville's 13,708-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Plantersville's dominant direct exposure actually means, with real examples from across the dataset.