Dahlonega, GA
Dahlonega, GA's wildfire risk, in USFS's own numbers
USFS scores Dahlonega at the 78th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 1,878 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Dahlonega's burn probability — fire likelihood with no building count factored in — sits at the 81st percentile nationally.
Where Dahlonega's buildings actually sit
1,878 buildings are counted in Dahlonega, and 67.4% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Dahlonega ranks
There's little gap between Dahlonega's 78th national percentile and its 88th percentile inside Georgia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Dahlonega ranks 6,994 for wildfire risk (1 is highest) and 7,827 by building count (1 is largest). Within Georgia alone, it ranks 83 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Dahlonega
Dahlonega's 78th-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.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Dahlonega (67.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Dahlonega's figures come from
The methodology guide shows exactly how USFS turned 1,878 counted buildings into the percentiles shown above for Dahlonega. The exposure-zones guide covers what Dahlonega's dominant direct exposure actually means, with real examples from across the dataset.