Poynette, WI
How exposed is Poynette to wildfire?
USFS's Wildfire Risk to Communities model puts Poynette at the 39th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 1,081 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Poynette at the 40th percentile, close to its 39th-percentile risk score.
Where Poynette's buildings actually sit
76.5% of Poynette's 1,081 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 23% Direct and 0.5% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Poynette against the rest of the country
Compare Poynette's two percentiles: 91st within Wisconsin, only 39th nationally — a gap of 52 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Poynette ranks 19,180 for wildfire risk (1 is highest) and 11,405 by building count (1 is largest). Within Wisconsin alone, it ranks 76 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Poynette
Poynette's moderate wildfire rating (39th 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 76.5% of Poynette'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 Poynette's figures come from
Every one of the two percentiles behind Poynette's 19,180-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Poynette's dominant indirect exposure actually means, with real examples from across the dataset.