Taloga, OK
How exposed is Taloga to wildfire?
USFS scores Taloga at the 92nd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 355 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Taloga's burn probability — fire likelihood with no building count factored in — sits at the 92nd percentile nationally.
What "at risk" means for the buildings here
Most of Taloga's buildings (79.7%) 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.
How Taloga compares
Taloga's 92nd national percentile looks worse in isolation than its 57th ranking inside Oklahoma does — this place is on the milder end for its own state, by 35 points. Among the 31,521 US communities USFS scores, Taloga ranks 2,530 for wildfire risk (1 is highest) and 20,195 by building count (1 is largest). Within Oklahoma alone, it ranks 356 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Taloga
At the 92nd percentile nationally, Taloga 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.
What would actually reduce this score
With ember exposure the dominant pattern in Taloga (79.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Taloga's figures come from
Taloga's 92nd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Taloga's dominant indirect exposure actually means, with real examples from across the dataset.