Blanchester, OH
Blanchester, OH's wildfire risk, in USFS's own numbers
Blanchester sits at the 8th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 2,196 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Blanchester at the 9th percentile, close to its 8th-percentile risk score.
What "at risk" means for the buildings here
54.9% of Blanchester's 2,196 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 33% Direct and 12.1% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Blanchester ranks
Compare Blanchester's two percentiles: 30th within Ohio, only 8th nationally — a gap of 21 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Blanchester ranks 28,883 for wildfire risk (1 is highest) and 6,940 by building count (1 is largest). Within Ohio alone, it ranks 887 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Blanchester and the insurance market
At the 8th national percentile, Blanchester rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in Blanchester (54.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Blanchester's figures come from
Every one of the two percentiles behind Blanchester's 28,883-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Blanchester's dominant indirect exposure actually means, with real examples from across the dataset.