Anadarko, OK
Anadarko, OK's wildfire risk, in USFS's own numbers
Anadarko's 3,350 buildings earn a 91st-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Anadarko's burn probability — fire likelihood with no building count factored in — sits at the 91st percentile nationally.
Where Anadarko's buildings actually sit
Indirect exposure is dominant in Anadarko (82.8% of 3,350 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 17.2% sit in the Direct zone.
How Anadarko compares
Inside Oklahoma, Anadarko sits at just the 50th percentile even though it scores 91st 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, Anadarko ranks 2,960 for wildfire risk (1 is highest) and 4,982 by building count (1 is largest). Within Oklahoma alone, it ranks 412 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Anadarko
Anadarko's 91st-percentile, very 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.
What would actually reduce this score
With ember exposure the dominant pattern in Anadarko (82.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Anadarko's figures come from
Every one of the two percentiles behind Anadarko's 2,960-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Anadarko's dominant indirect exposure actually means, with real examples from across the dataset.