Mill Creek, IL
Mill Creek wildfire risk explained
Mill Creek sits at the 45th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 49 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mill Creek at the 47th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Mill Creek's buildings actually sit
Of Mill Creek's 49 counted buildings, 77.6% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Mill Creek compares
Mill Creek's 96th-percentile standing inside Illinois outpaces its 45th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Mill Creek ranks 17,355 for wildfire risk (1 is highest) and 30,950 by building count (1 is largest). Within Illinois alone, it ranks 57 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
Mill Creek's elevated wildfire rating (45th 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.
Hardening a home in Mill Creek
Because Direct exposure dominates in Mill Creek (77.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Mill Creek's figures come from
Mill Creek's 45th-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 Mill Creek's dominant direct exposure actually means, with real examples from across the dataset.