Rib Lake, WI
Rib Lake, WI's wildfire risk, in USFS's own numbers
Rib Lake sits at the 13th 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 552 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rib Lake's burn probability — fire likelihood with no building count factored in — sits at the 13th percentile nationally.
What "at risk" means for the buildings here
Most of Rib Lake's buildings (62.3%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Rib Lake compares
Rib Lake scores 13th nationally and 12th within Wisconsin — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Rib Lake ranks 27,439 for wildfire risk (1 is highest) and 16,552 by building count (1 is largest). Within Wisconsin alone, it ranks 709 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Rib Lake
Rib Lake's low rating (13th 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 62.3% of Rib Lake's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Rib Lake's figures come from
Every one of the two percentiles behind Rib Lake's 27,439-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Rib Lake's dominant indirect exposure actually means, with real examples from across the dataset.