Experiment, GA
How exposed is Experiment to wildfire?
USFS's Wildfire Risk to Communities model puts Experiment at the 62nd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 1,278 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 Experiment at the 65th percentile, close to its 62nd-percentile risk score.
Experiment's building exposure, zone by zone
USFS classifies 68.5% of Experiment's buildings as Direct exposure, higher than its 31.5% Indirect share and far above its 0% Minimal share — a profile where 875 structures sit close enough to vegetation that lot clearing matters most.
Experiment against the rest of the country
Inside Georgia, Experiment sits at just the 28th percentile even though it scores 62nd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Experiment ranks 11,845 for wildfire risk (1 is highest) and 10,206 by building count (1 is largest). Within Georgia alone, it ranks 478 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
Experiment's 62nd-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 Experiment
Because Direct exposure dominates in Experiment (68.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Experiment's figures come from
Experiment's 62nd-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 Experiment's dominant direct exposure actually means, with real examples from across the dataset.