WildfireRiskFinder

Doniphan, MO

How exposed is Doniphan to wildfire?

High
70thpercentile nationally

Out of every US place USFS scores, Doniphan lands at the 70th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 1,098 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Doniphan's burn probability — fire likelihood with no building count factored in — sits at the 73rd percentile nationally.

What "at risk" means for the buildings here

1,098Total buildings
24.3%Direct exposure
75.7%Indirect exposure
0%Minimal exposure

1,098 buildings are counted in Doniphan, and 75.7% of them are Indirect exposure — ember-driven risk rather than the 24.3% in Direct exposure or the 0% rated Minimal.

Where Doniphan ranks

Doniphan scores 70th nationally and 82nd 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, Doniphan ranks 9,548 for wildfire risk (1 is highest) and 11,291 by building count (1 is largest). Within Missouri alone, it ranks 195 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.

Doniphan and the insurance market

Doniphan's high rating (70th 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.

Lowering exposure, not just insuring around it

Because 75.7% of Doniphan's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Doniphan's figures come from

Doniphan's 70th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Doniphan's dominant indirect exposure actually means, with real examples from across the dataset.