Lewistown, MO
Lewistown wildfire risk explained
USFS's Wildfire Risk to Communities model puts Lewistown at the 49th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 407 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Lewistown's burn probability — fire likelihood with no building count factored in — sits at the 50th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 74.7% of Lewistown's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 24.6% Direct and 0.7% Indirect — a landscape-level risk rather than a building-by-building one.
Where Lewistown ranks
Inside Missouri, Lewistown sits at just the 30th percentile even though it scores 49th 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, Lewistown ranks 16,236 for wildfire risk (1 is highest) and 19,085 by building count (1 is largest). Within Missouri alone, it ranks 746 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Lewistown and the insurance market
Lewistown's elevated wildfire rating (49th 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
Even with 74.7% of Lewistown outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Lewistown's figures come from
The methodology guide shows exactly how USFS turned 407 counted buildings into the percentiles shown above for Lewistown. The exposure-zones guide covers what Lewistown's dominant minimal exposure actually means, with real examples from across the dataset.