Harrisville, WI
Harrisville, WI's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Harrisville at the 42nd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 136 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Harrisville's burn probability — fire likelihood with no building count factored in — sits at the 42nd percentile nationally.
What "at risk" means for the buildings here
Of Harrisville's 136 counted buildings, 63.2% carry Direct exposure and only 0.7% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Harrisville against the rest of the country
Harrisville's 93rd-percentile standing inside Wisconsin outpaces its 42nd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Harrisville ranks 18,423 for wildfire risk (1 is highest) and 27,476 by building count (1 is largest). Within Wisconsin alone, it ranks 56 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
Harrisville's elevated rating (42nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Harrisville's 63.2% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Harrisville's figures come from
Every one of the two percentiles behind Harrisville's 18,423-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Harrisville's dominant direct exposure actually means, with real examples from across the dataset.