Leesburg, OH
Leesburg, OH's wildfire risk, in USFS's own numbers
Leesburg sits at the 13th 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 725 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Leesburg at the 14th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Leesburg's building exposure, zone by zone
Only 28.6% of Leesburg's 725 buildings carry Direct exposure and 0% carry Indirect; the remaining 71.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Leesburg against the rest of the country
Compare Leesburg's two percentiles: 39th within Ohio, only 13th nationally — a gap of 26 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Leesburg ranks 27,366 for wildfire risk (1 is highest) and 14,396 by building count (1 is largest). Within Ohio alone, it ranks 767 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Leesburg and the insurance market
Leesburg's low wildfire rating (13th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Leesburg's 71.5% 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 Leesburg's figures come from
Every one of the two percentiles behind Leesburg's 27,366-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Leesburg's dominant minimal exposure actually means, with real examples from across the dataset.