Aberdeen, OH
How exposed is Aberdeen to wildfire?
Out of every US place USFS scores, Aberdeen lands at the 29th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 980 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Aberdeen at the 31st national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Aberdeen's buildings actually sit
71.3% of Aberdeen's 980 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 27% Direct and 1.6% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Aberdeen ranks
Within Ohio, Aberdeen ranks higher (64th percentile) than it does nationally (29th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Aberdeen ranks 22,286 for wildfire risk (1 is highest) and 12,073 by building count (1 is largest). Within Ohio alone, it ranks 459 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Aberdeen
Aberdeen's moderate wildfire rating (29th 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
With ember exposure the dominant pattern in Aberdeen (71.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Aberdeen's figures come from
Every one of the two percentiles behind Aberdeen's 22,286-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Aberdeen's dominant indirect exposure actually means, with real examples from across the dataset.