Sunnyside, GA
How exposed is Sunnyside to wildfire?
Sunnyside's 827 buildings earn a 64th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Sunnyside's burn probability — fire likelihood with no building count factored in — sits at the 64th percentile nationally.
What "at risk" means for the buildings here
Of Sunnyside's 827 counted buildings, 64.3% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Sunnyside compares
Sunnyside's 64th national percentile looks worse in isolation than its 35th ranking inside Georgia does — this place is on the milder end for its own state, by 29 points. Among the 31,521 US communities USFS scores, Sunnyside ranks 11,433 for wildfire risk (1 is highest) and 13,372 by building count (1 is largest). Within Georgia alone, it ranks 438 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Sunnyside and the insurance market
Sunnyside's 64th-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.
What would actually reduce this score
Sunnyside's 64.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Sunnyside's figures come from
Every one of the two percentiles behind Sunnyside's 11,433-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sunnyside's dominant direct exposure actually means, with real examples from across the dataset.