Nashville, GA
Nashville wildfire risk explained
Nashville sits at the 66th 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 2,613 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Nashville's burn probability — fire likelihood with no building count factored in — sits at the 65th percentile nationally.
What "at risk" means for the buildings here
Most of Nashville's buildings (56%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Nashville against the rest of the country
Nashville ranks lower within Georgia (45th percentile statewide) than its 66th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Nashville ranks 10,836 for wildfire risk (1 is highest) and 6,078 by building count (1 is largest). Within Georgia alone, it ranks 366 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Nashville
Nashville's high rating (66th 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.
What would actually reduce this score
Because 56% of Nashville'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 Nashville's figures come from
Nashville's 66th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Nashville's dominant indirect exposure actually means, with real examples from across the dataset.