WildfireRiskFinder

Billingsley, AL

Billingsley wildfire risk explained

High
65thpercentile nationally

Billingsley's 156 buildings earn a 65th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Billingsley at the 67th percentile, close to its 65th-percentile risk score.

Billingsley's building exposure, zone by zone

156Total buildings
93%Direct exposure
7.1%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Billingsley: 93% of its 156 buildings, versus 7.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

Where Billingsley ranks

Billingsley's 65th national percentile looks worse in isolation than its 36th ranking inside Alabama does — this place is on the milder end for its own state, by 29 points. Among the 31,521 US communities USFS scores, Billingsley ranks 11,049 for wildfire risk (1 is highest) and 26,596 by building count (1 is largest). Within Alabama alone, it ranks 382 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.

Billingsley and the insurance market

Billingsley's high rating (65th 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.

Lowering exposure, not just insuring around it

Because Direct exposure dominates in Billingsley (93%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Billingsley's figures come from

Every one of the two percentiles behind Billingsley's 11,049-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Billingsley's dominant direct exposure actually means, with real examples from across the dataset.