Cedar Point, IL
Cedar Point wildfire risk explained
Cedar Point's 215 buildings earn a 9th-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, Cedar Point's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.
What "at risk" means for the buildings here
Only 15.8% of Cedar Point's 215 buildings carry Direct exposure and 0% carry Indirect; the remaining 84.2% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Cedar Point against the rest of the country
Within Illinois, Cedar Point ranks higher (40th percentile) than it does nationally (9th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Cedar Point ranks 28,829 for wildfire risk (1 is highest) and 24,302 by building count (1 is largest). Within Illinois alone, it ranks 876 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Cedar Point and the insurance market
Cedar Point's low wildfire rating (9th 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.
What would actually reduce this score
Even with 84.2% of Cedar Point 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 Cedar Point's figures come from
Cedar Point's 9th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Cedar Point's dominant minimal exposure actually means, with real examples from across the dataset.