WildfireRiskFinder

Irwin, IL

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

Low
0thpercentile nationally

Irwin sits at the 0th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 71 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Irwin's burn probability — fire likelihood with no building count factored in — sits at the 0th percentile nationally.

What "at risk" means for the buildings here

71Total buildings
4.2%Direct exposure
0%Indirect exposure
95.8%Minimal exposure

95.8% of Irwin's 71 buildings sit in USFS's Minimal exposure zone, with only 4.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Where Irwin ranks

Irwin scores 0th nationally and 2nd within Illinois — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Irwin ranks 31,449 for wildfire risk (1 is highest) and 30,239 by building count (1 is largest). Within Illinois alone, it ranks 1,409 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Irwin and the insurance market

Irwin's low rating (0th 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 Irwin

Irwin's 95.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Irwin's figures come from

Irwin's 0th-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 Irwin's dominant minimal exposure actually means, with real examples from across the dataset.