Lincoln Village, OH
How exposed is Lincoln Village to wildfire?
Out of every US place USFS scores, Lincoln Village lands at the 6th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 3,794 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 Lincoln Village at the 7th percentile, close to its 6th-percentile risk score.
Lincoln Village's building exposure, zone by zone
98% of Lincoln Village's 3,794 buildings sit in USFS's Minimal exposure zone, with only 2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Lincoln Village ranks
Compare Lincoln Village's two percentiles: 25th within Ohio, only 6th nationally — a gap of 20 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Lincoln Village ranks 29,795 for wildfire risk (1 is highest) and 4,429 by building count (1 is largest). Within Ohio alone, it ranks 946 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
Lincoln Village's low rating (6th 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
Lincoln Village's 98% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Lincoln Village's figures come from
Every one of the two percentiles behind Lincoln Village's 29,795-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lincoln Village's dominant minimal exposure actually means, with real examples from across the dataset.