Manteno, IL
How exposed is Manteno to wildfire?
Out of every US place USFS scores, Manteno lands at the 3rd percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 4,260 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Manteno at the 3rd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Manteno's buildings actually sit
Only 2.4% of Manteno's 4,260 buildings carry Direct exposure and 0% carry Indirect; the remaining 97.6% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Manteno ranks
Compare Manteno's two percentiles: 19th within Illinois, only 3rd nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Manteno ranks 30,565 for wildfire risk (1 is highest) and 4,007 by building count (1 is largest). Within Illinois alone, it ranks 1,163 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
Manteno's low wildfire rating (3rd 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.
Lowering exposure, not just insuring around it
With 97.6% of buildings rated Minimal exposure, Manteno gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Manteno's figures come from
Every one of the two percentiles behind Manteno's 30,565-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Manteno's dominant minimal exposure actually means, with real examples from across the dataset.