WildfireRiskFinder

Eton, GA

How exposed is Eton to wildfire?

High
73rdpercentile nationally

Eton's 427 buildings earn a 73rd-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Eton's burn probability — fire likelihood with no building count factored in — sits at the 76th percentile nationally.

Where Eton's buildings actually sit

427Total buildings
35.4%Direct exposure
64.6%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Eton (64.6% of 427 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 35.4% sit in the Direct zone.

Eton against the rest of the country

Eton's risk sits at a similar level relative to Georgia (75th percentile statewide) as it does nationally (73rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Eton ranks 8,630 for wildfire risk (1 is highest) and 18,708 by building count (1 is largest). Within Georgia alone, it ranks 169 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.

Eton and the insurance market

At the 73rd percentile nationally, Eton 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

Because 64.6% of Eton'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 Eton's figures come from

Every one of the two percentiles behind Eton's 8,630-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Eton's dominant indirect exposure actually means, with real examples from across the dataset.