Satsuma, AL
Satsuma, AL's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Satsuma lands at the 89th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 3,348 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Satsuma's burn probability — fire likelihood with no building count factored in — sits at the 91st percentile nationally.
Where Satsuma's buildings actually sit
Direct exposure dominates in Satsuma: 78.7% of its 3,348 buildings, versus 21.3% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Satsuma ranks
There's little gap between Satsuma's 89th national percentile and its 96th percentile inside Alabama, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Satsuma ranks 3,486 for wildfire risk (1 is highest) and 4,985 by building count (1 is largest). Within Alabama alone, it ranks 27 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Shopping for coverage in Satsuma
Satsuma's 89th-percentile, very 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.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Satsuma (78.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Satsuma's figures come from
Satsuma's 89th-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 Satsuma's dominant direct exposure actually means, with real examples from across the dataset.