Waleska, GA
How exposed is Waleska to wildfire?
USFS scores Waleska at the 68th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 219 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Waleska at the 71st percentile, close to its 68th-percentile risk score.
Waleska's building exposure, zone by zone
79.9% of Waleska's 219 buildings sit in USFS's Direct exposure zone, roughly 175 structures close enough to burnable vegetation for flame contact, not just embers — 20.1% fall in the Indirect, ember-only zone and 0% are Minimal.
Waleska against the rest of the country
There's little gap between Waleska's 68th national percentile and its 58th percentile inside Georgia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Waleska ranks 10,049 for wildfire risk (1 is highest) and 24,149 by building count (1 is largest). Within Georgia alone, it ranks 281 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Waleska
Waleska's high rating (68th 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 Waleska
With 79.9% of Waleska 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 Waleska's figures come from
Every one of the two percentiles behind Waleska's 10,049-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Waleska's dominant direct exposure actually means, with real examples from across the dataset.