Antioch, GA
How exposed is Antioch to wildfire?
USFS's Wildfire Risk to Communities model puts Antioch at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 272 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Antioch at the 81st percentile, close to its 78th-percentile risk score.
Antioch's building exposure, zone by zone
97.1% of Antioch's 272 buildings sit in USFS's Direct exposure zone, roughly 264 structures close enough to burnable vegetation for flame contact, not just embers — 0.7% fall in the Indirect, ember-only zone and 2.2% are Minimal.
Antioch against the rest of the country
There's little gap between Antioch's 78th national percentile and its 89th percentile inside Georgia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Antioch ranks 6,803 for wildfire risk (1 is highest) and 22,436 by building count (1 is largest). Within Georgia alone, it ranks 72 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Antioch
Antioch's high rating (78th 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 Antioch
With 97.1% of Antioch 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 Antioch's figures come from
Every one of the two percentiles behind Antioch's 6,803-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Antioch's dominant direct exposure actually means, with real examples from across the dataset.