Truxton, MO
Truxton wildfire risk explained
USFS's Wildfire Risk to Communities model puts Truxton at the 57th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 66 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Truxton at the 59th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
57.6% of Truxton's 66 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 42.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Truxton compares
Truxton scores 57th nationally and 46th within Missouri — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Truxton ranks 13,651 for wildfire risk (1 is highest) and 30,431 by building count (1 is largest). Within Missouri alone, it ranks 572 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Truxton and the insurance market
Truxton's elevated wildfire rating (57th 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.
Lowering exposure, not just insuring around it
Truxton's 57.6% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Truxton's figures come from
Every one of the two percentiles behind Truxton's 13,651-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Truxton's dominant indirect exposure actually means, with real examples from across the dataset.