New Concord, OH
How exposed is New Concord to wildfire?
USFS scores New Concord at the 42nd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 801 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 New Concord at the 44th percentile, close to its 42nd-percentile risk score.
Where New Concord's buildings actually sit
64.8% of New Concord's 801 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 35.2% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where New Concord ranks
Within Ohio, New Concord ranks higher (91st percentile) than it does nationally (42nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, New Concord ranks 18,414 for wildfire risk (1 is highest) and 13,623 by building count (1 is largest). Within Ohio alone, it ranks 108 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
What this risk score means for insurance
New Concord's elevated rating (42nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Because 64.8% of New Concord'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 New Concord's figures come from
New Concord's 42nd-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 New Concord's dominant indirect exposure actually means, with real examples from across the dataset.