WildfireRiskFinder

Divernon, IL

How exposed is Divernon to wildfire?

Low
2ndpercentile nationally

USFS's Wildfire Risk to Communities model puts Divernon at the 2nd national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 740 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Divernon's burn probability — fire likelihood with no building count factored in — sits at the 2nd percentile nationally.

Where Divernon's buildings actually sit

740Total buildings
2%Direct exposure
0%Indirect exposure
98%Minimal exposure

98% of Divernon's 740 buildings sit in USFS's Minimal exposure zone, with only 2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

How Divernon compares

Divernon's risk sits at a similar level relative to Illinois (14th percentile statewide) as it does nationally (2nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Divernon ranks 30,940 for wildfire risk (1 is highest) and 14,219 by building count (1 is largest). Within Illinois alone, it ranks 1,240 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Shopping for coverage in Divernon

Divernon's low wildfire rating (2nd 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.

What would actually reduce this score

Divernon's 98% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Divernon's figures come from

Divernon's 2nd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Divernon's dominant minimal exposure actually means, with real examples from across the dataset.