Texanna, OK
Texanna wildfire risk explained
Texanna's 3,277 buildings earn a 94th-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.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Texanna at the 96th percentile, close to its 94th-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 86.9% of Texanna's buildings as Direct exposure, higher than its 10.3% Indirect share and far above its 2.8% Minimal share — a profile where 2,846 structures sit close enough to vegetation that lot clearing matters most.
Where Texanna ranks
Inside Oklahoma, Texanna 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, Texanna ranks 1,836 for wildfire risk (1 is highest) and 5,073 by building count (1 is largest). Within Oklahoma alone, it ranks 218 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Texanna and the insurance market
At the 94th percentile nationally, Texanna carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
With 86.9% of Texanna in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Texanna's figures come from
Every one of the two percentiles behind Texanna's 1,836-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Texanna's dominant direct exposure actually means, with real examples from across the dataset.