Bismarck, MO
Bismarck, MO's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Bismarck lands at the 73rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 853 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Bismarck at the 74th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Bismarck's buildings actually sit
Most of Bismarck's buildings (65.7%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Bismarck compares
Bismarck's risk sits at a similar level relative to Missouri (87th percentile statewide) as it does nationally (73rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Bismarck ranks 8,666 for wildfire risk (1 is highest) and 13,141 by building count (1 is largest). Within Missouri alone, it ranks 143 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Shopping for coverage in Bismarck
Bismarck's high rating (73rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Bismarck
Bismarck's 65.7% 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 Bismarck's figures come from
The methodology guide shows exactly how USFS turned 853 counted buildings into the percentiles shown above for Bismarck. The exposure-zones guide covers what Bismarck's dominant indirect exposure actually means, with real examples from across the dataset.