Kings Mills, OH
Kings Mills, OH's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Kings Mills lands at the 13th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 643 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Kings Mills at the 15th percentile, close to its 13th-percentile risk score.
Where Kings Mills's buildings actually sit
Most of Kings Mills's buildings (67% of 643) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Kings Mills compares
Kings Mills's 40th-percentile standing inside Ohio outpaces its 13th 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, Kings Mills ranks 27,308 for wildfire risk (1 is highest) and 15,288 by building count (1 is largest). Within Ohio alone, it ranks 760 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Kings Mills
At the 13th national percentile, Kings Mills rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Kings Mills
With 67% of buildings rated Minimal exposure, Kings Mills gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Kings Mills's figures come from
Kings Mills's 13th-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 Kings Mills's dominant minimal exposure actually means, with real examples from across the dataset.