Keyesport, IL
How exposed is Keyesport to wildfire?
USFS scores Keyesport at the 8th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 350 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Keyesport at the 9th 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 12.3% of Keyesport's 350 buildings carry Direct exposure and 0% carry Indirect; the remaining 87.7% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Keyesport compares
Within Illinois, Keyesport ranks higher (39th percentile) than it does nationally (8th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Keyesport ranks 28,862 for wildfire risk (1 is highest) and 20,304 by building count (1 is largest). Within Illinois alone, it ranks 884 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Keyesport and the insurance market
Keyesport's low wildfire rating (8th 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 87.7% of buildings rated Minimal exposure, Keyesport gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Keyesport's figures come from
Every one of the two percentiles behind Keyesport's 28,862-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Keyesport's dominant minimal exposure actually means, with real examples from across the dataset.