Lyons, GA
Lyons, GA's wildfire risk, in USFS's own numbers
Lyons sits at the 68th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 2,236 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Lyons at the 67th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
2,236 buildings are counted in Lyons, and 59.1% of them are Indirect exposure — ember-driven risk rather than the 40.9% in Direct exposure or the 0% rated Minimal.
How Lyons compares
Lyons's risk sits at a similar level relative to Georgia (56th percentile statewide) as it does nationally (68th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Lyons ranks 10,238 for wildfire risk (1 is highest) and 6,847 by building count (1 is largest). Within Georgia alone, it ranks 296 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
Lyons's 68th-percentile, 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 Lyons
Lyons's 59.1% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Lyons's figures come from
The methodology guide shows exactly how USFS turned 2,236 counted buildings into the percentiles shown above for Lyons. The exposure-zones guide covers what Lyons's dominant indirect exposure actually means, with real examples from across the dataset.