Palmona Park, FL
How exposed is Palmona Park to wildfire?
USFS's Wildfire Risk to Communities model puts Palmona Park at the 83rd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 638 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Palmona Park at the 83rd percentile, close to its 83rd-percentile risk score.
Where Palmona Park's buildings actually sit
Only 15.5% of Palmona Park's 638 buildings carry Direct exposure and 0% carry Indirect; the remaining 84.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Palmona Park ranks
Palmona Park's 83rd national percentile looks worse in isolation than its 56th ranking inside Florida does — this place is on the milder end for its own state, by 26 points. Among the 31,521 US communities USFS scores, Palmona Park ranks 5,447 for wildfire risk (1 is highest) and 15,354 by building count (1 is largest). Within Florida alone, it ranks 417 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Shopping for coverage in Palmona Park
Palmona Park's very high rating (83rd 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.
Hardening a home in Palmona Park
Palmona Park's 84.5% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Palmona Park's figures come from
Every one of the two percentiles behind Palmona Park's 5,447-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Palmona Park's dominant minimal exposure actually means, with real examples from across the dataset.