Bushnell, FL
How exposed is Bushnell to wildfire?
Bushnell sits at the 87th 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 2,101 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Bushnell's burn probability — fire likelihood with no building count factored in — sits at the 90th percentile nationally.
Bushnell's building exposure, zone by zone
2,101 buildings are counted in Bushnell, and 53.5% of them are Indirect exposure — ember-driven risk rather than the 46.5% in Direct exposure or the 0% rated Minimal.
Where Bushnell ranks
Inside Florida, Bushnell sits at just the 71st percentile even though it scores 87th 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, Bushnell ranks 4,153 for wildfire risk (1 is highest) and 7,187 by building count (1 is largest). Within Florida alone, it ranks 280 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
What this risk score means for insurance
At the 87th percentile nationally, Bushnell 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
Bushnell's 53.5% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Bushnell's figures come from
The methodology guide shows exactly how USFS turned 2,101 counted buildings into the percentiles shown above for Bushnell. The exposure-zones guide covers what Bushnell's dominant indirect exposure actually means, with real examples from across the dataset.