East Palatka, FL
East Palatka, FL's wildfire risk, in USFS's own numbers
East Palatka's 795 buildings earn a 75th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, East Palatka's burn probability — fire likelihood with no building count factored in — sits at the 76th percentile nationally.
What "at risk" means for the buildings here
795 buildings are counted in East Palatka, and 58.9% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 6.8% rated Minimal.
Where East Palatka ranks
East Palatka ranks lower within Florida (37th percentile statewide) than its 75th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, East Palatka ranks 7,842 for wildfire risk (1 is highest) and 13,682 by building count (1 is largest). Within Florida alone, it ranks 606 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
At the 75th percentile nationally, East Palatka carries the 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.
Lowering exposure, not just insuring around it
With 58.9% of East Palatka 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 East Palatka's figures come from
Every one of the two percentiles behind East Palatka's 7,842-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what East Palatka's dominant direct exposure actually means, with real examples from across the dataset.