Franklin, GA
Franklin wildfire risk explained
Franklin's 482 buildings earn a 76th-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.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Franklin at the 79th percentile, close to its 76th-percentile risk score.
Franklin's building exposure, zone by zone
USFS classifies 74.1% of Franklin's buildings as Direct exposure, higher than its 25.9% Indirect share and far above its 0% Minimal share — a profile where 357 structures sit close enough to vegetation that lot clearing matters most.
Franklin against the rest of the country
Franklin scores 76th nationally and 83rd within Georgia — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Franklin ranks 7,561 for wildfire risk (1 is highest) and 17,663 by building count (1 is largest). Within Georgia alone, it ranks 112 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Franklin and the insurance market
Franklin's 76th-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
Franklin's 74.1% 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 Franklin's figures come from
Every one of the two percentiles behind Franklin's 7,561-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Franklin's dominant direct exposure actually means, with real examples from across the dataset.