Assumption, IL
How exposed is Assumption to wildfire?
USFS scores Assumption at the 0th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 892 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Assumption at the 0th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Assumption's buildings actually sit
96.1% of Assumption's 892 buildings sit in USFS's Minimal exposure zone, with only 3.9% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Assumption compares
Assumption's risk sits at a similar level relative to Illinois (3rd percentile statewide) as it does nationally (0th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Assumption ranks 31,412 for wildfire risk (1 is highest) and 12,791 by building count (1 is largest). Within Illinois alone, it ranks 1,386 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Assumption
Assumption's low rating (0th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 96.1% of buildings rated Minimal exposure, Assumption gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Assumption's figures come from
Every one of the two percentiles behind Assumption's 31,412-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Assumption's dominant minimal exposure actually means, with real examples from across the dataset.