Campbellton, FL
Campbellton, FL's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Campbellton at the 60th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 214 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Campbellton at the 61st national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Campbellton's building exposure, zone by zone
214 buildings are counted in Campbellton, and 72% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Campbellton against the rest of the country
Campbellton ranks lower within Florida (14th percentile statewide) than its 60th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Campbellton ranks 12,757 for wildfire risk (1 is highest) and 24,324 by building count (1 is largest). Within Florida alone, it ranks 824 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Campbellton and the insurance market
Campbellton's elevated rating (60th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Campbellton
With 72% of Campbellton 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 Campbellton's figures come from
Campbellton's 60th-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 Campbellton's dominant direct exposure actually means, with real examples from across the dataset.