Glen St. Mary, FL
Glen St. Mary, FL's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Glen St. Mary at the 78th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 271 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Glen St. Mary at the 79th percentile, close to its 78th-percentile risk score.
What "at risk" means for the buildings here
USFS puts 54.6% of Glen St. Mary's 271 buildings in the Indirect exposure zone, versus 45.4% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Glen St. Mary ranks
Inside Florida, Glen St. Mary sits at just the 43rd percentile even though it scores 78th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Glen St. Mary ranks 6,963 for wildfire risk (1 is highest) and 22,458 by building count (1 is largest). Within Florida alone, it ranks 546 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Shopping for coverage in Glen St. Mary
Glen St. Mary's high rating (78th 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
Glen St. Mary's 54.6% 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 Glen St. Mary's figures come from
Glen St. Mary's 78th-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 Glen St. Mary's dominant indirect exposure actually means, with real examples from across the dataset.