Oneonta, AL
Oneonta wildfire risk explained
USFS's Wildfire Risk to Communities model puts Oneonta at the 73rd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 3,150 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Oneonta at the 77th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Oneonta's building exposure, zone by zone
Most of Oneonta's buildings (59.5%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Oneonta against the rest of the country
Oneonta ranks lower within Alabama (54th percentile statewide) than its 73rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Oneonta ranks 8,433 for wildfire risk (1 is highest) and 5,232 by building count (1 is largest). Within Alabama alone, it ranks 271 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Oneonta and the insurance market
Oneonta's high rating (73rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Oneonta
Because 59.5% of Oneonta's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Oneonta's figures come from
The methodology guide shows exactly how USFS turned 3,150 counted buildings into the percentiles shown above for Oneonta. The exposure-zones guide covers what Oneonta's dominant indirect exposure actually means, with real examples from across the dataset.