Bevil Oaks, TX
Bevil Oaks, TX's wildfire risk, in USFS's own numbers
Bevil Oaks sits at the 84th 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 938 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Bevil Oaks's burn probability — fire likelihood with no building count factored in — sits at the 86th percentile nationally.
Where Bevil Oaks's buildings actually sit
Of Bevil Oaks's 938 counted buildings, 94% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Bevil Oaks compares
There's little gap between Bevil Oaks's 84th national percentile and its 71st percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Bevil Oaks ranks 5,118 for wildfire risk (1 is highest) and 12,409 by building count (1 is largest). Within Texas alone, it ranks 518 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
What this risk score means for insurance
Bevil Oaks's 84th-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
Because Direct exposure dominates in Bevil Oaks (94%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Bevil Oaks's figures come from
The methodology guide shows exactly how USFS turned 938 counted buildings into the percentiles shown above for Bevil Oaks. The exposure-zones guide covers what Bevil Oaks's dominant direct exposure actually means, with real examples from across the dataset.