Suring, WI
Suring wildfire risk explained
USFS's Wildfire Risk to Communities model puts Suring at the 25th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 425 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Suring at the 25th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Suring's buildings actually sit
62.1% of Suring's 425 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 37.9% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Suring against the rest of the country
Suring's 48th-percentile standing inside Wisconsin outpaces its 25th 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, Suring ranks 23,751 for wildfire risk (1 is highest) and 18,756 by building count (1 is largest). Within Wisconsin alone, it ranks 422 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Suring and the insurance market
Suring's moderate wildfire rating (25th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Because 62.1% of Suring'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 Suring's figures come from
Every one of the two percentiles behind Suring's 23,751-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Suring's dominant indirect exposure actually means, with real examples from across the dataset.