Arabi, GA
Arabi, GA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Arabi lands at the 66th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 336 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 Arabi at the 66th percentile, close to its 66th-percentile risk score.
Arabi's building exposure, zone by zone
USFS classifies 70.8% of Arabi's buildings as Direct exposure, higher than its 29.2% Indirect share and far above its 0% Minimal share — a profile where 238 structures sit close enough to vegetation that lot clearing matters most.
Arabi against the rest of the country
Inside Georgia, Arabi sits at just the 49th percentile even though it scores 66th 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, Arabi ranks 10,644 for wildfire risk (1 is highest) and 20,675 by building count (1 is largest). Within Georgia alone, it ranks 339 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
At the 66th percentile nationally, Arabi 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.
Hardening a home in Arabi
Because Direct exposure dominates in Arabi (70.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Arabi's figures come from
Arabi's 66th-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 Arabi's dominant direct exposure actually means, with real examples from across the dataset.