Arrowsmith, IL
Arrowsmith, IL's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Arrowsmith lands at the 0th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 214 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Arrowsmith at the 0th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
97.7% of Arrowsmith's 214 buildings sit in USFS's Minimal exposure zone, with only 2.3% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Arrowsmith ranks
Arrowsmith scores 0th nationally and 2nd within Illinois — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Arrowsmith ranks 31,475 for wildfire risk (1 is highest) and 24,325 by building count (1 is largest). Within Illinois alone, it ranks 1,418 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Arrowsmith and the insurance market
Arrowsmith's low wildfire rating (0th 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 Arrowsmith
With 97.7% of buildings rated Minimal exposure, Arrowsmith gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Arrowsmith's figures come from
Every one of the two percentiles behind Arrowsmith's 31,475-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Arrowsmith's dominant minimal exposure actually means, with real examples from across the dataset.