Aroma Park, IL
How exposed is Aroma Park to wildfire?
USFS's Wildfire Risk to Communities model puts Aroma Park at the 9th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 541 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Aroma Park's burn probability — fire likelihood with no building count factored in — sits at the 9th percentile nationally.
Where Aroma Park's buildings actually sit
Only 16.5% of Aroma Park's 541 buildings carry Direct exposure and 0% carry Indirect; the remaining 83.6% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Aroma Park ranks
Aroma Park's 39th-percentile standing inside Illinois outpaces its 9th 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, Aroma Park ranks 28,828 for wildfire risk (1 is highest) and 16,696 by building count (1 is largest). Within Illinois alone, it ranks 875 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Aroma Park
At the 9th national percentile, Aroma Park rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Even with 83.6% of Aroma Park outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Aroma Park's figures come from
The methodology guide shows exactly how USFS turned 541 counted buildings into the percentiles shown above for Aroma Park. The exposure-zones guide covers what Aroma Park's dominant minimal exposure actually means, with real examples from across the dataset.