WildfireRiskFinder

Cisne, IL

Cisne, IL's wildfire risk, in USFS's own numbers

Low
3rdpercentile nationally

Cisne's 545 buildings earn a 3rd-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, Cisne's burn probability — fire likelihood with no building count factored in — sits at the 3rd percentile nationally.

Where Cisne's buildings actually sit

545Total buildings
19.6%Direct exposure
0%Indirect exposure
80.4%Minimal exposure

USFS classifies 80.4% of Cisne's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 19.6% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

How Cisne compares

Within Illinois, Cisne ranks higher (20th percentile) than it does nationally (3rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Cisne ranks 30,533 for wildfire risk (1 is highest) and 16,634 by building count (1 is largest). Within Illinois alone, it ranks 1,153 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Shopping for coverage in Cisne

Cisne's low wildfire rating (3rd 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

Even with 80.4% of Cisne 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 Cisne's figures come from

The methodology guide shows exactly how USFS turned 545 counted buildings into the percentiles shown above for Cisne. The exposure-zones guide covers what Cisne's dominant minimal exposure actually means, with real examples from across the dataset.