Eagle Point, AL
Eagle Point, AL's wildfire risk, in USFS's own numbers
Eagle Point sits at the 66th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 1,077 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Eagle Point at the 69th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Eagle Point's building exposure, zone by zone
64.8% of Eagle Point's 1,077 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 35.2% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Eagle Point ranks
Eagle Point's 66th national percentile looks worse in isolation than its 38th ranking inside Alabama does — this place is on the milder end for its own state, by 28 points. Among the 31,521 US communities USFS scores, Eagle Point ranks 10,577 for wildfire risk (1 is highest) and 11,416 by building count (1 is largest). Within Alabama alone, it ranks 368 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
Shopping for coverage in Eagle Point
Eagle Point's high rating (66th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
With ember exposure the dominant pattern in Eagle Point (64.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Eagle Point's figures come from
The methodology guide shows exactly how USFS turned 1,077 counted buildings into the percentiles shown above for Eagle Point. The exposure-zones guide covers what Eagle Point's dominant indirect exposure actually means, with real examples from across the dataset.