Mattoon, WI
Mattoon wildfire risk explained
Mattoon sits at the 24th 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 299 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mattoon at the 24th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Mattoon's buildings actually sit
USFS classifies 50.2% of Mattoon's buildings as Direct exposure, higher than its 49.8% Indirect share and far above its 0% Minimal share — a profile where 150 structures sit close enough to vegetation that lot clearing matters most.
Mattoon against the rest of the country
Mattoon's 45th-percentile standing inside Wisconsin outpaces its 24th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Mattoon ranks 23,969 for wildfire risk (1 is highest) and 21,672 by building count (1 is largest). Within Wisconsin alone, it ranks 443 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Mattoon and the insurance market
Mattoon's moderate rating (24th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Mattoon
Mattoon's 50.2% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Mattoon's figures come from
Every one of the two percentiles behind Mattoon's 23,969-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mattoon's dominant direct exposure actually means, with real examples from across the dataset.