Annawan, IL
Annawan wildfire risk explained
Annawan sits at the 1st percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 651 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Annawan at the 1st percentile, close to its 1st-percentile risk score.
What "at risk" means for the buildings here
92.6% of Annawan's 651 buildings sit in USFS's Minimal exposure zone, with only 7.4% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Annawan compares
Annawan's risk sits at a similar level relative to Illinois (10th percentile statewide) as it does nationally (1st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Annawan ranks 31,128 for wildfire risk (1 is highest) and 15,191 by building count (1 is largest). Within Illinois alone, it ranks 1,292 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Annawan and the insurance market
Annawan's low wildfire rating (1st percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Annawan
With 92.6% of buildings rated Minimal exposure, Annawan gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Annawan's figures come from
Every one of the two percentiles behind Annawan's 31,128-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Annawan's dominant minimal exposure actually means, with real examples from across the dataset.