Pine River, WI
How exposed is Pine River to wildfire?
Out of every US place USFS scores, Pine River lands at the 53rd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 157 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Pine River at the 53rd 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
USFS classifies 99.4% of Pine River's buildings as Direct exposure, higher than its 0.6% Indirect share and far above its 0% Minimal share — a profile where 156 structures sit close enough to vegetation that lot clearing matters most.
Pine River against the rest of the country
Within Wisconsin, Pine River ranks higher (99th percentile) than it does nationally (53rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Pine River ranks 14,831 for wildfire risk (1 is highest) and 26,595 by building count (1 is largest). Within Wisconsin alone, it ranks 10 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Pine River
Pine River's elevated rating (53rd 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 Pine River (99.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Pine River's figures come from
Every one of the two percentiles behind Pine River's 14,831-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pine River's dominant direct exposure actually means, with real examples from across the dataset.