Chesterhill, OH
Chesterhill, OH's wildfire risk, in USFS's own numbers
USFS scores Chesterhill at the 42nd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 221 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 Chesterhill at the 43rd percentile, close to its 42nd-percentile risk score.
Where Chesterhill's buildings actually sit
Direct exposure dominates in Chesterhill: 65.6% of its 221 buildings, versus 34.4% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Chesterhill against the rest of the country
Within Ohio, Chesterhill 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, Chesterhill ranks 18,445 for wildfire risk (1 is highest) and 24,091 by building count (1 is largest). Within Ohio alone, it ranks 111 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
Chesterhill'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.
What would actually reduce this score
Chesterhill's 65.6% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Chesterhill's figures come from
Chesterhill'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 Chesterhill's dominant direct exposure actually means, with real examples from across the dataset.