WildfireRiskFinder

Marshall, OK

How exposed is Marshall to wildfire?

High
64thpercentile nationally

Marshall's 260 buildings earn a 64th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Marshall at the 62nd percentile, close to its 64th-percentile risk score.

Marshall's building exposure, zone by zone

260Total buildings
26.2%Direct exposure
1.9%Indirect exposure
71.9%Minimal exposure

Most of Marshall's buildings (71.9% of 260) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Marshall against the rest of the country

Marshall's 64th national percentile looks worse in isolation than its 10th ranking inside Oklahoma does — this place is on the milder end for its own state, by 55 points. Among the 31,521 US communities USFS scores, Marshall ranks 11,287 for wildfire risk (1 is highest) and 22,835 by building count (1 is largest). Within Oklahoma alone, it ranks 754 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.

Shopping for coverage in Marshall

Marshall's high rating (64th 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

Marshall's 71.9% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Marshall's figures come from

Marshall's 64th-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 Marshall's dominant minimal exposure actually means, with real examples from across the dataset.