Iona, FL
How exposed is Iona to wildfire?
Iona's 8,335 buildings earn a 85th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Iona's burn probability — fire likelihood with no building count factored in — sits at the 86th percentile nationally.
Where Iona's buildings actually sit
Iona rates 89.9% Minimal exposure against just 3.9% Direct and 6.2% Indirect — of 8,335 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually. At 8,335 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Iona ranks
Iona's 85th national percentile looks worse in isolation than its 66th ranking inside Florida does — this place is on the milder end for its own state, by 19 points. Among the 31,521 US communities USFS scores, Iona ranks 4,631 for wildfire risk (1 is highest) and 1,994 by building count (1 is largest). Within Florida alone, it ranks 327 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Iona and the insurance market
Iona's 85th-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
Even with 89.9% of Iona outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Iona's figures come from
The methodology guide shows exactly how USFS turned 8,335 counted buildings into the percentiles shown above for Iona. The exposure-zones guide covers what Iona's dominant minimal exposure actually means, with real examples from across the dataset.