Seymour, MO
Seymour wildfire risk explained
USFS's Wildfire Risk to Communities model puts Seymour at the 75th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 1,241 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Seymour at the 77th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Seymour's buildings actually sit
62.4% of Seymour's 1,241 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 37.6% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Seymour ranks
Within Missouri, Seymour ranks higher (92nd percentile) than it does nationally (75th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Seymour ranks 7,791 for wildfire risk (1 is highest) and 10,398 by building count (1 is largest). Within Missouri alone, it ranks 91 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Seymour and the insurance market
At the 75th percentile nationally, Seymour carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
Seymour's 62.4% 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 Seymour's figures come from
Every one of the two percentiles behind Seymour's 7,791-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Seymour's dominant indirect exposure actually means, with real examples from across the dataset.