Exmore, VA
How exposed is Exmore to wildfire?
USFS scores Exmore at the 47th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 954 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Exmore at the 46th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Exmore's buildings (55.9%) 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.
Exmore against the rest of the country
Exmore scores 47th nationally and 48th within Virginia — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Exmore ranks 16,658 for wildfire risk (1 is highest) and 12,281 by building count (1 is largest). Within Virginia alone, it ranks 356 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Shopping for coverage in Exmore
Exmore's elevated rating (47th 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
Exmore's 55.9% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Exmore's figures come from
Exmore's 47th-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 Exmore's dominant indirect exposure actually means, with real examples from across the dataset.