Avon Park, FL
How exposed is Avon Park to wildfire?
Avon Park sits at the 84th 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 4,764 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Avon Park at the 86th percentile, close to its 84th-percentile risk score.
Where Avon Park's buildings actually sit
45.6% of Avon Park's 4,764 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 15.9% Direct and 38.5% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Avon Park compares
Inside Florida, Avon Park sits at just the 62nd percentile even though it scores 84th 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, Avon Park ranks 4,914 for wildfire risk (1 is highest) and 3,580 by building count (1 is largest). Within Florida alone, it ranks 363 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Shopping for coverage in Avon Park
Avon Park's very high rating (84th 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 Avon Park
With ember exposure the dominant pattern in Avon Park (45.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Avon Park's figures come from
The methodology guide shows exactly how USFS turned 4,764 counted buildings into the percentiles shown above for Avon Park. The exposure-zones guide covers what Avon Park's dominant indirect exposure actually means, with real examples from across the dataset.