Warsaw, NC
How exposed is Warsaw to wildfire?
USFS scores Warsaw at the 52nd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,510 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Warsaw at the 51st percentile, close to its 52nd-percentile risk score.
What "at risk" means for the buildings here
Most of Warsaw's buildings (50.7%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Warsaw compares
Warsaw's risk sits at a similar level relative to North Carolina (42nd percentile statewide) as it does nationally (52nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Warsaw ranks 15,298 for wildfire risk (1 is highest) and 9,119 by building count (1 is largest). Within North Carolina alone, it ranks 450 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Warsaw
Warsaw's elevated rating (52nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Because 50.7% of Warsaw's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Warsaw's figures come from
Every one of the two percentiles behind Warsaw's 15,298-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Warsaw's dominant indirect exposure actually means, with real examples from across the dataset.