Antlers, OK
How exposed is Antlers to wildfire?
USFS scores Antlers at the 89th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 1,632 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Antlers'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
Direct exposure dominates in Antlers: 50.5% of its 1,632 buildings, versus 49.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Antlers compares
Inside Oklahoma, Antlers sits at just the 45th percentile even though it scores 89th 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, Antlers ranks 3,344 for wildfire risk (1 is highest) and 8,645 by building count (1 is largest). Within Oklahoma alone, it ranks 458 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
At the 89th percentile nationally, Antlers 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
Antlers's 50.5% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Antlers's figures come from
Antlers's 89th-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 Antlers's dominant direct exposure actually means, with real examples from across the dataset.