WildfireRiskFinder

Clinton, IL

Clinton wildfire risk explained

Low
12thpercentile nationally

Clinton's 3,970 buildings earn a 12th-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 11th percentile nationally.

What "at risk" means for the buildings here

3,970Total buildings
3.2%Direct exposure
14%Indirect exposure
82.9%Minimal exposure

Clinton rates 82.9% Minimal exposure against just 3.2% Direct and 14% Indirect — of 3,970 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Clinton against the rest of the country

Clinton's 46th-percentile standing inside Illinois outpaces its 12th 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, Clinton ranks 27,850 for wildfire risk (1 is highest) and 4,274 by building count (1 is largest). Within Illinois alone, it ranks 780 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Shopping for coverage in Clinton

Clinton's low rating (12th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Even with 82.9% 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 27,850-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.