Shawneetown, MO
Shawneetown wildfire risk explained
USFS's Wildfire Risk to Communities model puts Shawneetown at the 39th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 96 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Shawneetown at the 41st national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Shawneetown's buildings actually sit
Of Shawneetown's 96 counted buildings, 96.9% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Shawneetown ranks
Inside Missouri, Shawneetown sits at just the 14th percentile even though it scores 39th 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, Shawneetown ranks 19,188 for wildfire risk (1 is highest) and 29,236 by building count (1 is largest). Within Missouri alone, it ranks 913 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
What this risk score means for insurance
Shawneetown's moderate rating (39th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Shawneetown (96.9%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Shawneetown's figures come from
Every one of the two percentiles behind Shawneetown's 19,188-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Shawneetown's dominant direct exposure actually means, with real examples from across the dataset.