Kenneth City, FL
How exposed is Kenneth City to wildfire?
USFS scores Kenneth City at the 50th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,451 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Kenneth City at the 53rd percentile, close to its 50th-percentile risk score.
What "at risk" means for the buildings here
Most of Kenneth City's buildings (98.8% of 1,451) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Kenneth City compares
Kenneth City ranks lower within Florida (4th percentile statewide) than its 50th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Kenneth City ranks 15,909 for wildfire risk (1 is highest) and 9,389 by building count (1 is largest). Within Florida alone, it ranks 920 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Shopping for coverage in Kenneth City
At the 50th national percentile, Kenneth City rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 98.8% of buildings rated Minimal exposure, Kenneth City gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Kenneth City's figures come from
Kenneth City's 50th-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 Kenneth City's dominant minimal exposure actually means, with real examples from across the dataset.