Morrisonville, IL
Morrisonville wildfire risk explained
USFS scores Morrisonville at the 4th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 795 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Morrisonville's burn probability — fire likelihood with no building count factored in — sits at the 4th percentile nationally.
Morrisonville's building exposure, zone by zone
USFS classifies 89.4% of Morrisonville's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 10.6% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Morrisonville against the rest of the country
Within Illinois, Morrisonville ranks higher (23rd percentile) than it does nationally (4th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Morrisonville ranks 30,343 for wildfire risk (1 is highest) and 13,683 by building count (1 is largest). Within Illinois alone, it ranks 1,114 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
What this risk score means for insurance
Morrisonville's low rating (4th 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 Morrisonville
Even with 89.4% of Morrisonville outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Morrisonville's figures come from
The methodology guide shows exactly how USFS turned 795 counted buildings into the percentiles shown above for Morrisonville. The exposure-zones guide covers what Morrisonville's dominant minimal exposure actually means, with real examples from across the dataset.