Fuller Heights, FL
Fuller Heights, FL's wildfire risk, in USFS's own numbers
Fuller Heights's 3,640 buildings earn a 92nd-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Fuller Heights at the 93rd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Fuller Heights's building exposure, zone by zone
Most of Fuller Heights's buildings (46.1% of 3,640) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Fuller Heights ranks
There's little gap between Fuller Heights's 92nd national percentile and its 86th percentile inside Florida, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Fuller Heights ranks 2,392 for wildfire risk (1 is highest) and 4,601 by building count (1 is largest). Within Florida alone, it ranks 133 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
Fuller Heights's very high rating (92nd 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.
What would actually reduce this score
Fuller Heights's 46.1% 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 Fuller Heights's figures come from
Every one of the two percentiles behind Fuller Heights's 2,392-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Fuller Heights's dominant minimal exposure actually means, with real examples from across the dataset.