Cazenovia, WI
Cazenovia wildfire risk explained
Cazenovia sits at the 30th 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 216 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Cazenovia's burn probability — fire likelihood with no building count factored in — sits at the 32nd percentile nationally.
Where Cazenovia's buildings actually sit
Most of Cazenovia's buildings (65.3%) 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.
How Cazenovia compares
Compare Cazenovia's two percentiles: 64th within Wisconsin, only 30th nationally — a gap of 34 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Cazenovia ranks 22,016 for wildfire risk (1 is highest) and 24,294 by building count (1 is largest). Within Wisconsin alone, it ranks 287 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
What this risk score means for insurance
Cazenovia's moderate wildfire rating (30th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Because 65.3% of Cazenovia's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Cazenovia's figures come from
The methodology guide shows exactly how USFS turned 216 counted buildings into the percentiles shown above for Cazenovia. The exposure-zones guide covers what Cazenovia's dominant indirect exposure actually means, with real examples from across the dataset.