Carrier Mills, IL
Carrier Mills wildfire risk explained
USFS scores Carrier Mills at the 37th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 1,096 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Carrier Mills's burn probability — fire likelihood with no building count factored in — sits at the 39th percentile nationally.
What "at risk" means for the buildings here
Of Carrier Mills's 1,096 counted buildings, 35.7% carry Direct exposure and only 30.3% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Carrier Mills compares
Within Illinois, Carrier Mills ranks higher (89th percentile) than it does nationally (37th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Carrier Mills ranks 19,816 for wildfire risk (1 is highest) and 11,302 by building count (1 is largest). Within Illinois alone, it ranks 155 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
What this risk score means for insurance
Carrier Mills's moderate rating (37th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Carrier Mills
With 35.7% of Carrier Mills in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Carrier Mills's figures come from
Every one of the two percentiles behind Carrier Mills's 19,816-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Carrier Mills's dominant direct exposure actually means, with real examples from across the dataset.