WildfireRiskFinder

Foley, MO

Foley wildfire risk explained

Elevated
52ndpercentile nationally

USFS scores Foley at the 52nd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 99 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Foley's burn probability — fire likelihood with no building count factored in — sits at the 55th percentile nationally.

Where Foley's buildings actually sit

99Total buildings
15.2%Direct exposure
84.9%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Foley (84.9% of 99 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 15.2% sit in the Direct zone.

How Foley compares

Inside Missouri, Foley sits at just the 37th percentile even though it scores 52nd 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, Foley ranks 15,093 for wildfire risk (1 is highest) and 29,089 by building count (1 is largest). Within Missouri alone, it ranks 669 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.

Shopping for coverage in Foley

Foley's elevated wildfire rating (52nd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.

Hardening a home in Foley

With ember exposure the dominant pattern in Foley (84.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Foley's figures come from

Foley's 52nd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Foley's dominant indirect exposure actually means, with real examples from across the dataset.