Quitman, GA
Quitman wildfire risk explained
Out of every US place USFS scores, Quitman lands at the 63rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 2,153 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Quitman's burn probability — fire likelihood with no building count factored in — sits at the 63rd percentile nationally.
Quitman's building exposure, zone by zone
USFS classifies 50.9% of Quitman's buildings as Direct exposure, higher than its 49.1% Indirect share and far above its 0% Minimal share — a profile where 1,095 structures sit close enough to vegetation that lot clearing matters most.
Where Quitman ranks
Quitman ranks lower within Georgia (30th percentile statewide) than its 63rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Quitman ranks 11,722 for wildfire risk (1 is highest) and 7,061 by building count (1 is largest). Within Georgia alone, it ranks 467 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Quitman and the insurance market
Quitman's 63rd-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 Quitman
Quitman's 50.9% 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 Quitman's figures come from
The methodology guide shows exactly how USFS turned 2,153 counted buildings into the percentiles shown above for Quitman. The exposure-zones guide covers what Quitman's dominant direct exposure actually means, with real examples from across the dataset.