Waggoner, IL
Waggoner, IL's wildfire risk, in USFS's own numbers
USFS scores Waggoner at the 0th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 175 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Waggoner at the 0th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Waggoner's building exposure, zone by zone
Only 10.3% of Waggoner's 175 buildings carry Direct exposure and 0% carry Indirect; the remaining 89.7% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Waggoner ranks
Waggoner's risk sits at a similar level relative to Illinois (0th percentile statewide) as it does nationally (0th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Waggoner ranks 31,518 for wildfire risk (1 is highest) and 25,818 by building count (1 is largest). Within Illinois alone, it ranks 1,444 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Waggoner
Waggoner'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.
Lowering exposure, not just insuring around it
With 89.7% of buildings rated Minimal exposure, Waggoner gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Waggoner's figures come from
Every one of the two percentiles behind Waggoner's 31,518-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Waggoner's dominant minimal exposure actually means, with real examples from across the dataset.