Soldiers Grove, WI
Soldiers Grove wildfire risk explained
USFS's Wildfire Risk to Communities model puts Soldiers Grove at the 29th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 383 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Soldiers Grove at the 31st national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Soldiers Grove's buildings actually sit
383 buildings are counted in Soldiers Grove, and 53.3% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Soldiers Grove ranks
Within Wisconsin, Soldiers Grove ranks higher (61st percentile) than it does nationally (29th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Soldiers Grove ranks 22,458 for wildfire risk (1 is highest) and 19,583 by building count (1 is largest). Within Wisconsin alone, it ranks 316 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Soldiers Grove
Soldiers Grove's moderate rating (29th 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
Because Direct exposure dominates in Soldiers Grove (53.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Soldiers Grove's figures come from
Every one of the two percentiles behind Soldiers Grove's 22,458-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Soldiers Grove's dominant direct exposure actually means, with real examples from across the dataset.