Baileyton, AL
Baileyton, AL's wildfire risk, in USFS's own numbers
USFS scores Baileyton at the 70th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 635 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Baileyton at the 74th percentile, close to its 70th-percentile risk score.
What "at risk" means for the buildings here
89% of Baileyton's 635 buildings sit in USFS's Direct exposure zone, roughly 565 structures close enough to burnable vegetation for flame contact, not just embers — 11% fall in the Indirect, ember-only zone and 0% are Minimal.
How Baileyton compares
Inside Alabama, Baileyton sits at just the 45th percentile even though it scores 70th 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, Baileyton ranks 9,599 for wildfire risk (1 is highest) and 15,400 by building count (1 is largest). Within Alabama alone, it ranks 328 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.
What this risk score means for insurance
Baileyton's 70th-percentile, 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.
Hardening a home in Baileyton
Because Direct exposure dominates in Baileyton (89%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Baileyton's figures come from
The methodology guide shows exactly how USFS turned 635 counted buildings into the percentiles shown above for Baileyton. The exposure-zones guide covers what Baileyton's dominant direct exposure actually means, with real examples from across the dataset.