Dieterich, IL
Dieterich, IL's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Dieterich at the 1st national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 534 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Dieterich at the 1st national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Dieterich's building exposure, zone by zone
82.8% of Dieterich's 534 buildings sit in USFS's Minimal exposure zone, with only 17.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Dieterich ranks
Dieterich scores 1st nationally and 10th 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, Dieterich ranks 31,193 for wildfire risk (1 is highest) and 16,810 by building count (1 is largest). Within Illinois alone, it ranks 1,307 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Dieterich and the insurance market
Dieterich'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 Dieterich
With 82.8% of buildings rated Minimal exposure, Dieterich gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Dieterich's figures come from
Every one of the two percentiles behind Dieterich's 31,193-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dieterich's dominant minimal exposure actually means, with real examples from across the dataset.