Kimberly, WI
How exposed is Kimberly to wildfire?
Kimberly sits at the 22nd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 3,651 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Kimberly at the 25th percentile, close to its 22nd-percentile risk score.
Where Kimberly's buildings actually sit
Only 1.5% of Kimberly's 3,651 buildings carry Direct exposure and 0% carry Indirect; the remaining 98.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Kimberly ranks
Kimberly's risk sits at a similar level relative to Wisconsin (37th percentile statewide) as it does nationally (22nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Kimberly ranks 24,694 for wildfire risk (1 is highest) and 4,586 by building count (1 is largest). Within Wisconsin alone, it ranks 510 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Kimberly
At the 22nd national percentile, Kimberly rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Kimberly's 98.5% 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 Kimberly's figures come from
Every one of the two percentiles behind Kimberly's 24,694-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Kimberly's dominant minimal exposure actually means, with real examples from across the dataset.