Buckhead Ridge, FL
Buckhead Ridge wildfire risk explained
Buckhead Ridge sits at the 96th 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 1,710 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Buckhead Ridge's burn probability — fire likelihood with no building count factored in — sits at the 95th percentile nationally.
What "at risk" means for the buildings here
USFS puts 91.6% of Buckhead Ridge's 1,710 buildings in the Indirect exposure zone, versus 8.4% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Buckhead Ridge against the rest of the country
Buckhead Ridge scores 96th nationally and 95th within Florida — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Buckhead Ridge ranks 1,316 for wildfire risk (1 is highest) and 8,383 by building count (1 is largest). Within Florida alone, it ranks 52 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
Buckhead Ridge's very high rating (96th 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
Buckhead Ridge's 91.6% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Buckhead Ridge's figures come from
Buckhead Ridge's 96th-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 Buckhead Ridge's dominant indirect exposure actually means, with real examples from across the dataset.