Bug Tussle, OK
How exposed is Bug Tussle to wildfire?
USFS's Wildfire Risk to Communities model puts Bug Tussle at the 96th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 240 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Bug Tussle's burn probability — fire likelihood with no building count factored in — sits at the 98th percentile nationally.
Where Bug Tussle's buildings actually sit
Of Bug Tussle's 240 counted buildings, 83.8% carry Direct exposure and only 2.5% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Bug Tussle compares
There's little gap between Bug Tussle's 96th national percentile and its 87th percentile inside Oklahoma, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Bug Tussle ranks 1,238 for wildfire risk (1 is highest) and 23,478 by building count (1 is largest). Within Oklahoma alone, it ranks 109 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
Bug Tussle's very high rating (96th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
With 83.8% of Bug Tussle 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 Bug Tussle's figures come from
Bug Tussle's 96th-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 Bug Tussle's dominant direct exposure actually means, with real examples from across the dataset.