WildfireRiskFinder

Ellerslie, GA

Ellerslie wildfire risk explained

High
77thpercentile nationally

USFS's Wildfire Risk to Communities model puts Ellerslie at the 77th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 502 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Ellerslie's burn probability — fire likelihood with no building count factored in — sits at the 80th percentile nationally.

What "at risk" means for the buildings here

502Total buildings
96.8%Direct exposure
2.6%Indirect exposure
0.6%Minimal exposure

Direct exposure dominates in Ellerslie: 96.8% of its 502 buildings, versus 2.6% Indirect and 0.6% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

Where Ellerslie ranks

Ellerslie's risk sits at a similar level relative to Georgia (85th percentile statewide) as it does nationally (77th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Ellerslie ranks 7,246 for wildfire risk (1 is highest) and 17,306 by building count (1 is largest). Within Georgia alone, it ranks 97 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

Ellerslie's high rating (77th 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 Ellerslie

Because Direct exposure dominates in Ellerslie (96.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Ellerslie's figures come from

Every one of the two percentiles behind Ellerslie's 7,246-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ellerslie's dominant direct exposure actually means, with real examples from across the dataset.