Tigerton, WI
How exposed is Tigerton to wildfire?
Tigerton sits at the 26th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 508 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Tigerton at the 26th percentile, close to its 26th-percentile risk score.
Tigerton's building exposure, zone by zone
Most of Tigerton's buildings (64.4%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Tigerton against the rest of the country
Compare Tigerton's two percentiles: 51st within Wisconsin, only 26th nationally — a gap of 26 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Tigerton ranks 23,404 for wildfire risk (1 is highest) and 17,217 by building count (1 is largest). Within Wisconsin alone, it ranks 393 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Tigerton and the insurance market
Tigerton's moderate rating (26th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Tigerton's 64.4% 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 Tigerton's figures come from
The methodology guide shows exactly how USFS turned 508 counted buildings into the percentiles shown above for Tigerton. The exposure-zones guide covers what Tigerton's dominant indirect exposure actually means, with real examples from across the dataset.