Wabasso, FL
How exposed is Wabasso to wildfire?
Wabasso sits at the 82nd 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 990 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Wabasso's burn probability — fire likelihood with no building count factored in — sits at the 82nd percentile nationally.
Where Wabasso's buildings actually sit
USFS classifies 51.8% of Wabasso's buildings as Direct exposure, higher than its 16.4% Indirect share and far above its 31.8% Minimal share — a profile where 513 structures sit close enough to vegetation that lot clearing matters most.
How Wabasso compares
Wabasso's 82nd national percentile looks worse in isolation than its 53rd ranking inside Florida does — this place is on the milder end for its own state, by 29 points. Among the 31,521 US communities USFS scores, Wabasso ranks 5,795 for wildfire risk (1 is highest) and 12,001 by building count (1 is largest). Within Florida alone, it ranks 456 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 82nd percentile nationally, Wabasso 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.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Wabasso (51.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Wabasso's figures come from
Every one of the two percentiles behind Wabasso's 5,795-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wabasso's dominant direct exposure actually means, with real examples from across the dataset.