Matherville, IL
Matherville, IL's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Matherville at the 39th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 393 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Matherville at the 41st national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Matherville's buildings actually sit
77.1% of Matherville's 393 buildings sit in USFS's Minimal exposure zone, with only 22.9% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Matherville against the rest of the country
Within Illinois, Matherville ranks higher (92nd percentile) than it does nationally (39th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Matherville ranks 19,121 for wildfire risk (1 is highest) and 19,349 by building count (1 is largest). Within Illinois alone, it ranks 115 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Matherville and the insurance market
At the 39th national percentile, Matherville rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Matherville's 77.1% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Matherville's figures come from
The methodology guide shows exactly how USFS turned 393 counted buildings into the percentiles shown above for Matherville. The exposure-zones guide covers what Matherville's dominant minimal exposure actually means, with real examples from across the dataset.