Hickory Hills, IL
How exposed is Hickory Hills to wildfire?
USFS scores Hickory Hills at the 46th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 4,707 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hickory Hills at the 48th percentile, close to its 46th-percentile risk score.
Hickory Hills's building exposure, zone by zone
Hickory Hills rates 99.5% Minimal exposure against just 0.5% Direct and 0% Indirect — of 4,707 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Hickory Hills ranks
Hickory Hills's 97th-percentile standing inside Illinois outpaces its 46th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Hickory Hills ranks 17,043 for wildfire risk (1 is highest) and 3,620 by building count (1 is largest). Within Illinois alone, it ranks 48 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
What this risk score means for insurance
Hickory Hills's elevated wildfire rating (46th 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
Hickory Hills's 99.5% 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 Hickory Hills's figures come from
Hickory Hills's 46th-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 Hickory Hills's dominant minimal exposure actually means, with real examples from across the dataset.