Eulonia, GA
Eulonia, GA's wildfire risk, in USFS's own numbers
Eulonia sits at the 89th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 280 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Eulonia's burn probability — fire likelihood with no building count factored in — sits at the 86th percentile nationally.
Where Eulonia's buildings actually sit
280 buildings are counted in Eulonia, and 96.4% 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.
Eulonia against the rest of the country
Eulonia's risk sits at a similar level relative to Georgia (98th percentile statewide) as it does nationally (89th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Eulonia ranks 3,528 for wildfire risk (1 is highest) and 22,180 by building count (1 is largest). Within Georgia alone, it ranks 14 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
What this risk score means for insurance
Eulonia's 89th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Eulonia
Because Direct exposure dominates in Eulonia (96.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Eulonia's figures come from
Every one of the two percentiles behind Eulonia's 3,528-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Eulonia's dominant direct exposure actually means, with real examples from across the dataset.