Willow Springs, IL
How exposed is Willow Springs to wildfire?
USFS's Wildfire Risk to Communities model puts Willow Springs at the 44th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 2,451 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Willow Springs at the 46th percentile, close to its 44th-percentile risk score.
Where Willow Springs's buildings actually sit
Only 5% of Willow Springs's 2,451 buildings carry Direct exposure and 8% carry Indirect; the remaining 87% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Willow Springs compares
Compare Willow Springs's two percentiles: 96th within Illinois, only 44th nationally — a gap of 51 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Willow Springs ranks 17,545 for wildfire risk (1 is highest) and 6,391 by building count (1 is largest). Within Illinois alone, it ranks 61 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Willow Springs
Willow Springs's elevated rating (44th 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 Willow Springs
Even with 87% of Willow Springs 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 Willow Springs's figures come from
Willow Springs's 44th-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 Willow Springs's dominant minimal exposure actually means, with real examples from across the dataset.