Pierson, FL
Pierson, FL's wildfire risk, in USFS's own numbers
Pierson sits at the 95th 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 1,130 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Pierson at the 96th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Pierson's buildings actually sit
USFS classifies 90.7% of Pierson's buildings as Direct exposure, higher than its 9.3% Indirect share and far above its 0% Minimal share — a profile where 1,025 structures sit close enough to vegetation that lot clearing matters most.
Pierson against the rest of the country
Pierson scores 95th nationally and 93rd 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, Pierson ranks 1,599 for wildfire risk (1 is highest) and 11,082 by building count (1 is largest). Within Florida alone, it ranks 74 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Pierson and the insurance market
Pierson's very high rating (95th 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 90.7% of Pierson in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Pierson's figures come from
The methodology guide shows exactly how USFS turned 1,130 counted buildings into the percentiles shown above for Pierson. The exposure-zones guide covers what Pierson's dominant direct exposure actually means, with real examples from across the dataset.