Yonah, GA
Yonah, GA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Yonah lands at the 80th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 492 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Yonah at the 83rd national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Yonah's buildings actually sit
492 buildings are counted in Yonah, and 96.1% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Yonah against the rest of the country
Yonah's risk sits at a similar level relative to Georgia (91st percentile statewide) as it does nationally (80th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Yonah ranks 6,330 for wildfire risk (1 is highest) and 17,494 by building count (1 is largest). Within Georgia alone, it ranks 63 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Yonah
At the 80th percentile nationally, Yonah carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
With 96.1% of Yonah in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Yonah's figures come from
The methodology guide shows exactly how USFS turned 492 counted buildings into the percentiles shown above for Yonah. The exposure-zones guide covers what Yonah's dominant direct exposure actually means, with real examples from across the dataset.