Rudolph, WI
Rudolph, WI's wildfire risk, in USFS's own numbers
USFS scores Rudolph at the 38th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 318 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rudolph's burn probability — fire likelihood with no building count factored in — sits at the 37th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 67.6% of Rudolph's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 32.4% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How Rudolph compares
Rudolph's 88th-percentile standing inside Wisconsin outpaces its 38th 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, Rudolph ranks 19,653 for wildfire risk (1 is highest) and 21,171 by building count (1 is largest). Within Wisconsin alone, it ranks 97 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
Rudolph's moderate wildfire rating (38th 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
Rudolph's 67.6% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Rudolph's figures come from
Every one of the two percentiles behind Rudolph's 19,653-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Rudolph's dominant minimal exposure actually means, with real examples from across the dataset.