Drumright, OK
Drumright wildfire risk explained
USFS scores Drumright at the 94th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 2,037 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Drumright's burn probability — fire likelihood with no building count factored in — sits at the 96th percentile nationally.
What "at risk" means for the buildings here
Most of Drumright's buildings (54.5%) 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.
Where Drumright ranks
Inside Oklahoma, Drumright sits at just the 74th percentile even though it scores 94th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Drumright ranks 1,833 for wildfire risk (1 is highest) and 7,366 by building count (1 is largest). Within Oklahoma alone, it ranks 215 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
Drumright's very high rating (94th 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 Drumright
With ember exposure the dominant pattern in Drumright (54.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Drumright's figures come from
Every one of the two percentiles behind Drumright's 1,833-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Drumright's dominant indirect exposure actually means, with real examples from across the dataset.