Colerain, NC
How exposed is Colerain to wildfire?
USFS's Wildfire Risk to Communities model puts Colerain at the 42nd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 207 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Colerain at the 41st national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Colerain's buildings actually sit
58.9% of Colerain's 207 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 41.1% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Colerain against the rest of the country
Inside North Carolina, Colerain sits at just the 20th percentile even though it scores 42nd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Colerain ranks 18,256 for wildfire risk (1 is highest) and 24,614 by building count (1 is largest). Within North Carolina alone, it ranks 622 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Colerain and the insurance market
Colerain'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.
Hardening a home in Colerain
Because 58.9% of Colerain'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 Colerain's figures come from
Every one of the two percentiles behind Colerain's 18,256-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Colerain's dominant indirect exposure actually means, with real examples from across the dataset.