Nicoma Park, OK
Nicoma Park, OK's wildfire risk, in USFS's own numbers
USFS scores Nicoma Park at the 78th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 1,796 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 Nicoma Park at the 80th percentile, close to its 78th-percentile risk score.
Where Nicoma Park's buildings actually sit
1,796 buildings are counted in Nicoma Park, and 63.1% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 36.9% rated Minimal.
Where Nicoma Park ranks
Nicoma Park's 78th national percentile looks worse in isolation than its 18th ranking inside Oklahoma does — this place is on the milder end for its own state, by 61 points. Among the 31,521 US communities USFS scores, Nicoma Park ranks 6,878 for wildfire risk (1 is highest) and 8,081 by building count (1 is largest). Within Oklahoma alone, it ranks 689 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
What this risk score means for insurance
Nicoma Park's high rating (78th 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 Nicoma Park
Nicoma Park's 63.1% 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 Nicoma Park's figures come from
Every one of the two percentiles behind Nicoma Park's 6,878-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Nicoma Park's dominant direct exposure actually means, with real examples from across the dataset.