Wild Rose, WI
Wild Rose, WI's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Wild Rose lands at the 50th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 532 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Wild Rose's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.
Wild Rose's building exposure, zone by zone
59.4% of Wild Rose's 532 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 40.6% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Wild Rose compares
Compare Wild Rose's two percentiles: 98th within Wisconsin, only 50th nationally — a gap of 48 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Wild Rose ranks 15,776 for wildfire risk (1 is highest) and 16,842 by building count (1 is largest). Within Wisconsin alone, it ranks 16 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Wild Rose and the insurance market
Wild Rose's elevated wildfire rating (50th 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.
What would actually reduce this score
Wild Rose's 59.4% 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 Wild Rose's figures come from
Every one of the two percentiles behind Wild Rose's 15,776-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wild Rose's dominant indirect exposure actually means, with real examples from across the dataset.