Mount Pulaski, IL
Mount Pulaski, IL's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Mount Pulaski lands at the 0th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,106 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mount Pulaski at the 0th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Only 3.5% of Mount Pulaski's 1,106 buildings carry Direct exposure and 0% carry Indirect; the remaining 96.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Mount Pulaski compares
Mount Pulaski scores 0th nationally and 4th 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, Mount Pulaski ranks 31,422 for wildfire risk (1 is highest) and 11,242 by building count (1 is largest). Within Illinois alone, it ranks 1,396 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Mount Pulaski and the insurance market
Mount Pulaski's low wildfire rating (0th 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 Mount Pulaski
Mount Pulaski's 96.5% 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 Mount Pulaski's figures come from
The methodology guide shows exactly how USFS turned 1,106 counted buildings into the percentiles shown above for Mount Pulaski. The exposure-zones guide covers what Mount Pulaski's dominant minimal exposure actually means, with real examples from across the dataset.