North Utica, IL
How exposed is North Utica to wildfire?
Out of every US place USFS scores, North Utica lands at the 29th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 977 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, North Utica's burn probability — fire likelihood with no building count factored in — sits at the 30th percentile nationally.
Where North Utica's buildings actually sit
977 buildings are counted in North Utica, and 72.7% of them are Indirect exposure — ember-driven risk rather than the 23.9% in Direct exposure or the 3.5% rated Minimal.
North Utica against the rest of the country
Within Illinois, North Utica ranks higher (78th percentile) than it does nationally (29th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, North Utica ranks 22,370 for wildfire risk (1 is highest) and 12,091 by building count (1 is largest). Within Illinois alone, it ranks 318 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
At the 29th national percentile, North Utica 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
Because 72.7% of North Utica'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 North Utica's figures come from
Every one of the two percentiles behind North Utica's 22,370-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what North Utica's dominant indirect exposure actually means, with real examples from across the dataset.