Hustler, WI
How exposed is Hustler to wildfire?
Hustler sits at the 24th 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 161 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hustler at the 25th percentile, close to its 24th-percentile risk score.
Where Hustler's buildings actually sit
Indirect exposure is dominant in Hustler (80.1% of 161 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 19.9% sit in the Direct zone.
Hustler against the rest of the country
Compare Hustler's two percentiles: 45th within Wisconsin, only 24th nationally — a gap of 21 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Hustler ranks 24,001 for wildfire risk (1 is highest) and 26,414 by building count (1 is largest). Within Wisconsin alone, it ranks 446 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Hustler
Hustler's moderate wildfire rating (24th 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
Hustler's 80.1% 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 Hustler's figures come from
Every one of the two percentiles behind Hustler's 24,001-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hustler's dominant indirect exposure actually means, with real examples from across the dataset.