Devol, OK
How exposed is Devol to wildfire?
USFS scores Devol at the 75th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 125 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Devol at the 71st percentile, close to its 75th-percentile risk score.
Devol's building exposure, zone by zone
125 buildings are counted in Devol, and 36% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 32% rated Minimal.
Devol against the rest of the country
Devol ranks lower within Oklahoma (14th percentile statewide) than its 75th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Devol ranks 8,046 for wildfire risk (1 is highest) and 27,956 by building count (1 is largest). Within Oklahoma alone, it ranks 719 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Devol and the insurance market
Devol's 75th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Devol
Devol's 36% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Devol's figures come from
Every one of the two percentiles behind Devol's 8,046-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Devol's dominant direct exposure actually means, with real examples from across the dataset.