Naples Manor, FL
Naples Manor, FL's wildfire risk, in USFS's own numbers
Naples Manor's 1,433 buildings earn a 80th-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.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Naples Manor at the 80th percentile, close to its 80th-percentile risk score.
What "at risk" means for the buildings here
69% of Naples Manor's 1,433 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 16.5% Direct and 14.5% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Naples Manor compares
Naples Manor ranks lower within Florida (49th percentile statewide) than its 80th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Naples Manor ranks 6,206 for wildfire risk (1 is highest) and 9,461 by building count (1 is largest). Within Florida alone, it ranks 488 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Shopping for coverage in Naples Manor
At the 80th percentile nationally, Naples Manor carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Naples Manor
Because 69% of Naples Manor's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Naples Manor's figures come from
Naples Manor's 80th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Naples Manor's dominant indirect exposure actually means, with real examples from across the dataset.