Knoxville, IL
Knoxville, IL's wildfire risk, in USFS's own numbers
Knoxville sits at the 9th 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 1,760 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Knoxville at the 9th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Knoxville's buildings actually sit
Most of Knoxville's buildings (90.9% of 1,760) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Knoxville ranks
Within Illinois, Knoxville ranks higher (41st percentile) than it does nationally (9th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Knoxville ranks 28,671 for wildfire risk (1 is highest) and 8,191 by building count (1 is largest). Within Illinois alone, it ranks 861 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Knoxville
Knoxville's low rating (9th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With 90.9% of buildings rated Minimal exposure, Knoxville gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Knoxville's figures come from
Every one of the two percentiles behind Knoxville's 28,671-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Knoxville's dominant minimal exposure actually means, with real examples from across the dataset.