WildfireRiskFinder

Bon Air, AL

How exposed is Bon Air to wildfire?

High
78thpercentile nationally

USFS scores Bon Air at the 78th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 109 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 Bon Air at the 82nd percentile, close to its 78th-percentile risk score.

Where Bon Air's buildings actually sit

109Total buildings
78%Direct exposure
22%Indirect exposure
0%Minimal exposure

109 buildings are counted in Bon Air, and 78% 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.

How Bon Air compares

Bon Air scores 78th nationally and 69th within Alabama — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Bon Air ranks 6,952 for wildfire risk (1 is highest) and 28,645 by building count (1 is largest). Within Alabama alone, it ranks 184 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.

Shopping for coverage in Bon Air

Bon Air's high rating (78th 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 78% of Bon Air in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.

Where Bon Air's figures come from

The methodology guide shows exactly how USFS turned 109 counted buildings into the percentiles shown above for Bon Air. The exposure-zones guide covers what Bon Air's dominant direct exposure actually means, with real examples from across the dataset.