Shawano, WI
Shawano, WI's wildfire risk, in USFS's own numbers
Shawano sits at the 18th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 4,178 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Shawano at the 18th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Shawano's buildings (81% of 4,178) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Shawano ranks
There's little gap between Shawano's 18th national percentile and its 23rd percentile inside Wisconsin, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Shawano ranks 25,989 for wildfire risk (1 is highest) and 4,072 by building count (1 is largest). Within Wisconsin alone, it ranks 619 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
At the 18th national percentile, Shawano rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Shawano's 81% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Shawano's figures come from
Every one of the two percentiles behind Shawano's 25,989-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Shawano's dominant minimal exposure actually means, with real examples from across the dataset.