Keithsburg, IL
Keithsburg, IL's wildfire risk, in USFS's own numbers
Keithsburg sits at the 40th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 527 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Keithsburg at the 40th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Keithsburg's buildings actually sit
USFS puts 75.3% of Keithsburg's 527 buildings in the Indirect exposure zone, versus 10.6% Direct and 14% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Keithsburg compares
Compare Keithsburg's two percentiles: 92nd within Illinois, only 40th nationally — a gap of 52 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Keithsburg ranks 18,931 for wildfire risk (1 is highest) and 16,905 by building count (1 is largest). Within Illinois alone, it ranks 111 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Keithsburg
Keithsburg's moderate rating (40th 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
Because 75.3% of Keithsburg's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Keithsburg's figures come from
Every one of the two percentiles behind Keithsburg's 18,931-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Keithsburg's dominant indirect exposure actually means, with real examples from across the dataset.