Fort Deposit, AL
Fort Deposit, AL's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Fort Deposit lands at the 58th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 793 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Fort Deposit's burn probability — fire likelihood with no building count factored in — sits at the 60th percentile nationally.
Fort Deposit's building exposure, zone by zone
Of Fort Deposit's 793 counted buildings, 84.5% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Fort Deposit compares
Inside Alabama, Fort Deposit sits at just the 21st percentile even though it scores 58th 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, Fort Deposit ranks 13,224 for wildfire risk (1 is highest) and 13,697 by building count (1 is largest). Within Alabama alone, it ranks 469 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Fort Deposit and the insurance market
Fort Deposit's elevated wildfire rating (58th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Fort Deposit
Because Direct exposure dominates in Fort Deposit (84.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Fort Deposit's figures come from
Fort Deposit's 58th-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 Fort Deposit's dominant direct exposure actually means, with real examples from across the dataset.