Fredericktown, MO
How exposed is Fredericktown to wildfire?
Out of every US place USFS scores, Fredericktown lands at the 58th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 2,180 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Fredericktown at the 61st percentile, close to its 58th-percentile risk score.
Where Fredericktown's buildings actually sit
87% of Fredericktown's 2,180 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 13% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Fredericktown compares
There's little gap between Fredericktown's 58th national percentile and its 50th percentile inside Missouri, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Fredericktown ranks 13,333 for wildfire risk (1 is highest) and 6,989 by building count (1 is largest). Within Missouri alone, it ranks 534 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Fredericktown and the insurance market
At the 58th national percentile, Fredericktown rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Fredericktown
Because 87% of Fredericktown's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Fredericktown's figures come from
The methodology guide shows exactly how USFS turned 2,180 counted buildings into the percentiles shown above for Fredericktown. The exposure-zones guide covers what Fredericktown's dominant indirect exposure actually means, with real examples from across the dataset.