Greenville, FL
Greenville, FL's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Greenville lands at the 72nd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 423 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Greenville at the 72nd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
77.3% of Greenville's 423 buildings sit in USFS's Direct exposure zone, roughly 327 structures close enough to burnable vegetation for flame contact, not just embers — 22.7% fall in the Indirect, ember-only zone and 0% are Minimal.
Greenville against the rest of the country
Greenville ranks lower within Florida (29th percentile statewide) than its 72nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Greenville ranks 8,973 for wildfire risk (1 is highest) and 18,773 by building count (1 is largest). Within Florida alone, it ranks 675 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
Greenville's high rating (72nd 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
Greenville's 77.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Greenville's figures come from
The methodology guide shows exactly how USFS turned 423 counted buildings into the percentiles shown above for Greenville. The exposure-zones guide covers what Greenville's dominant direct exposure actually means, with real examples from across the dataset.