Apple Creek, OH
Apple Creek wildfire risk explained
USFS scores Apple Creek at the 21st national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 539 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 Apple Creek at the 22nd percentile, close to its 21st-percentile risk score.
Apple Creek's building exposure, zone by zone
64.6% of Apple Creek's 539 buildings sit in USFS's Minimal exposure zone, with only 16.9% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Apple Creek against the rest of the country
Apple Creek's 51st-percentile standing inside Ohio outpaces its 21st national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Apple Creek ranks 24,971 for wildfire risk (1 is highest) and 16,738 by building count (1 is largest). Within Ohio alone, it ranks 615 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Apple Creek and the insurance market
Apple Creek's moderate rating (21st 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 Apple Creek
With 64.6% of buildings rated Minimal exposure, Apple Creek gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Apple Creek's figures come from
The methodology guide shows exactly how USFS turned 539 counted buildings into the percentiles shown above for Apple Creek. The exposure-zones guide covers what Apple Creek's dominant minimal exposure actually means, with real examples from across the dataset.