Wanette, OK
Wanette wildfire risk explained
Wanette sits at the 95th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 290 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Wanette at the 96th percentile, close to its 95th-percentile risk score.
Wanette's building exposure, zone by zone
61% of Wanette's 290 buildings sit in USFS's Direct exposure zone, roughly 177 structures close enough to burnable vegetation for flame contact, not just embers — 39% fall in the Indirect, ember-only zone and 0% are Minimal.
Wanette against the rest of the country
Wanette's 95th national percentile looks worse in isolation than its 79th ranking inside Oklahoma does — this place is on the milder end for its own state, by 16 points. Among the 31,521 US communities USFS scores, Wanette ranks 1,586 for wildfire risk (1 is highest) and 21,918 by building count (1 is largest). Within Oklahoma alone, it ranks 178 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Wanette
Wanette's 95th-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.
Hardening a home in Wanette
Because Direct exposure dominates in Wanette (61%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Wanette's figures come from
The methodology guide shows exactly how USFS turned 290 counted buildings into the percentiles shown above for Wanette. The exposure-zones guide covers what Wanette's dominant direct exposure actually means, with real examples from across the dataset.