Weogufka, AL
Weogufka, AL's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Weogufka at the 90th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 254 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Weogufka's burn probability — fire likelihood with no building count factored in — sits at the 92nd percentile nationally.
What "at risk" means for the buildings here
254 buildings are counted in Weogufka, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Weogufka against the rest of the country
Weogufka's risk sits at a similar level relative to Alabama (97th percentile statewide) as it does nationally (90th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Weogufka ranks 3,264 for wildfire risk (1 is highest) and 23,003 by building count (1 is largest). Within Alabama alone, it ranks 17 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Shopping for coverage in Weogufka
Weogufka's 90th-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
Weogufka's 100% 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 Weogufka's figures come from
The methodology guide shows exactly how USFS turned 254 counted buildings into the percentiles shown above for Weogufka. The exposure-zones guide covers what Weogufka's dominant direct exposure actually means, with real examples from across the dataset.