Twin City, GA
Twin City, GA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Twin City lands at the 66th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 906 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Twin City at the 66th percentile, close to its 66th-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 66.3% of Twin City's buildings as Direct exposure, higher than its 33.7% Indirect share and far above its 0% Minimal share — a profile where 601 structures sit close enough to vegetation that lot clearing matters most.
Where Twin City ranks
Twin City ranks lower within Georgia (48th percentile statewide) than its 66th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Twin City ranks 10,675 for wildfire risk (1 is highest) and 12,668 by building count (1 is largest). Within Georgia alone, it ranks 346 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Twin City and the insurance market
At the 66th percentile nationally, Twin City carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
Twin City's 66.3% 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 Twin City's figures come from
The methodology guide shows exactly how USFS turned 906 counted buildings into the percentiles shown above for Twin City. The exposure-zones guide covers what Twin City's dominant direct exposure actually means, with real examples from across the dataset.