Whitelaw, WI
Whitelaw, WI's wildfire risk, in USFS's own numbers
Whitelaw sits at the 7th 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 449 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Whitelaw at the 8th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Only 23.6% of Whitelaw's 449 buildings carry Direct exposure and 0% carry Indirect; the remaining 76.4% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Whitelaw against the rest of the country
Whitelaw's risk sits at a similar level relative to Wisconsin (3rd percentile statewide) as it does nationally (7th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Whitelaw ranks 29,204 for wildfire risk (1 is highest) and 18,311 by building count (1 is largest). Within Wisconsin alone, it ranks 785 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
Whitelaw's low wildfire rating (7th 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.
Hardening a home in Whitelaw
Whitelaw's 76.4% 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 Whitelaw's figures come from
Every one of the two percentiles behind Whitelaw's 29,204-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Whitelaw's dominant minimal exposure actually means, with real examples from across the dataset.