WildfireRiskFinder

Atkinson, IL

Atkinson wildfire risk explained

Low
14thpercentile nationally

Atkinson's 785 buildings earn a 14th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Atkinson at the 13th percentile, close to its 14th-percentile risk score.

Atkinson's building exposure, zone by zone

785Total buildings
9.8%Direct exposure
0%Indirect exposure
90.2%Minimal exposure

Most of Atkinson's buildings (90.2% of 785) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Atkinson against the rest of the country

Within Illinois, Atkinson ranks higher (50th percentile) than it does nationally (14th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Atkinson ranks 27,221 for wildfire risk (1 is highest) and 13,763 by building count (1 is largest). Within Illinois alone, it ranks 715 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Atkinson and the insurance market

Atkinson's low wildfire rating (14th 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.

Lowering exposure, not just insuring around it

Atkinson's 90.2% 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 Atkinson's figures come from

The methodology guide shows exactly how USFS turned 785 counted buildings into the percentiles shown above for Atkinson. The exposure-zones guide covers what Atkinson's dominant minimal exposure actually means, with real examples from across the dataset.