Cannelton, IN
How exposed is Cannelton to wildfire?
USFS's Wildfire Risk to Communities model puts Cannelton at the 24th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 885 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Cannelton's burn probability — fire likelihood with no building count factored in — sits at the 25th percentile nationally.
Cannelton's building exposure, zone by zone
70.4% of Cannelton's 885 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 29.6% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Cannelton against the rest of the country
Compare Cannelton's two percentiles: 89th within Indiana, only 24th nationally — a gap of 66 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Cannelton ranks 24,009 for wildfire risk (1 is highest) and 12,858 by building count (1 is largest). Within Indiana alone, it ranks 102 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
What this risk score means for insurance
At the 24th national percentile, Cannelton rates moderate 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
Cannelton's 70.4% 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 Cannelton's figures come from
Cannelton's 24th-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 Cannelton's dominant indirect exposure actually means, with real examples from across the dataset.