WildfireRiskFinder

Toxey, AL

How exposed is Toxey to wildfire?

High
61stpercentile nationally

USFS's Wildfire Risk to Communities model puts Toxey at the 61st national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 132 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Toxey's burn probability — fire likelihood with no building count factored in — sits at the 63rd percentile nationally.

Where Toxey's buildings actually sit

132Total buildings
91.7%Direct exposure
8.3%Indirect exposure
0%Minimal exposure

132 buildings are counted in Toxey, and 91.7% 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.

Toxey against the rest of the country

Inside Alabama, Toxey sits at just the 29th percentile even though it scores 61st 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, Toxey ranks 12,153 for wildfire risk (1 is highest) and 27,605 by building count (1 is largest). Within Alabama alone, it ranks 423 of 592 places by risk. See the full county-by-county picture for Alabama on its state page.

Shopping for coverage in Toxey

Toxey's high rating (61st 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

Toxey's 91.7% 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 Toxey's figures come from

The methodology guide shows exactly how USFS turned 132 counted buildings into the percentiles shown above for Toxey. The exposure-zones guide covers what Toxey's dominant direct exposure actually means, with real examples from across the dataset.