Tangelo Park, FL
Tangelo Park wildfire risk explained
Out of every US place USFS scores, Tangelo Park lands at the 82nd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 860 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tangelo Park at the 82nd national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Only 3.7% of Tangelo Park's 860 buildings carry Direct exposure and 0% carry Indirect; the remaining 96.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Tangelo Park compares
Tangelo Park's 82nd national percentile looks worse in isolation than its 54th ranking inside Florida does — this place is on the milder end for its own state, by 28 points. Among the 31,521 US communities USFS scores, Tangelo Park ranks 5,609 for wildfire risk (1 is highest) and 13,079 by building count (1 is largest). Within Florida alone, it ranks 438 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
Tangelo Park's very high rating (82nd 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.
Lowering exposure, not just insuring around it
With 96.3% of buildings rated Minimal exposure, Tangelo Park gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Tangelo Park's figures come from
The methodology guide shows exactly how USFS turned 860 counted buildings into the percentiles shown above for Tangelo Park. The exposure-zones guide covers what Tangelo Park's dominant minimal exposure actually means, with real examples from across the dataset.