Browntown, WI
How exposed is Browntown to wildfire?
Browntown sits at the 28th 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 206 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Browntown at the 29th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Browntown's building exposure, zone by zone
Indirect exposure is dominant in Browntown (71.4% of 206 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 28.6% sit in the Direct zone.
Browntown against the rest of the country
Within Wisconsin, Browntown ranks higher (60th percentile) than it does nationally (28th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Browntown ranks 22,583 for wildfire risk (1 is highest) and 24,651 by building count (1 is largest). Within Wisconsin alone, it ranks 324 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
Browntown's moderate rating (28th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With ember exposure the dominant pattern in Browntown (71.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Browntown's figures come from
Every one of the two percentiles behind Browntown's 22,583-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Browntown's dominant indirect exposure actually means, with real examples from across the dataset.