WildfireRiskFinder

Clinton, WI

Clinton wildfire risk explained

Low
4thpercentile nationally

Clinton's 942 buildings earn a 4th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Clinton's burn probability — fire likelihood with no building count factored in — sits at the 4th percentile nationally.

What "at risk" means for the buildings here

942Total buildings
10.4%Direct exposure
0%Indirect exposure
89.6%Minimal exposure

Clinton rates 89.6% Minimal exposure against just 10.4% Direct and 0% Indirect — of 942 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Where Clinton ranks

There's little gap between Clinton's 4th national percentile and its 1st percentile inside Wisconsin, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Clinton ranks 30,181 for wildfire risk (1 is highest) and 12,377 by building count (1 is largest). Within Wisconsin alone, it ranks 803 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.

Shopping for coverage in Clinton

At the 4th national percentile, Clinton rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Clinton

Even with 89.6% of Clinton outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.

Where Clinton's figures come from

Every one of the two percentiles behind Clinton's 30,181-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Clinton's dominant minimal exposure actually means, with real examples from across the dataset.