Burlington, OH
How exposed is Burlington to wildfire?
Burlington sits at the 59th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 1,530 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Burlington at the 60th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Burlington's building exposure, zone by zone
Indirect exposure is dominant in Burlington (94.5% of 1,530 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 5.5% sit in the Direct zone.
Where Burlington ranks
Within Ohio, Burlington ranks higher (100th percentile) than it does nationally (59th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Burlington ranks 12,994 for wildfire risk (1 is highest) and 9,040 by building count (1 is largest). Within Ohio alone, it ranks 4 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Burlington
Burlington's elevated wildfire rating (59th 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.
Hardening a home in Burlington
With ember exposure the dominant pattern in Burlington (94.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Burlington's figures come from
Every one of the two percentiles behind Burlington's 12,994-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Burlington's dominant indirect exposure actually means, with real examples from across the dataset.