Stronghurst, IL
How exposed is Stronghurst to wildfire?
Out of every US place USFS scores, Stronghurst lands at the 19th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 637 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Stronghurst's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.
Stronghurst's building exposure, zone by zone
Stronghurst rates 93.7% Minimal exposure against just 6.3% Direct and 0% Indirect — of 637 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Stronghurst compares
Stronghurst's 60th-percentile standing inside Illinois outpaces its 19th 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, Stronghurst ranks 25,552 for wildfire risk (1 is highest) and 15,377 by building count (1 is largest). Within Illinois alone, it ranks 583 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Stronghurst
Stronghurst's low rating (19th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Even with 93.7% of Stronghurst 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 Stronghurst's figures come from
Stronghurst's 19th-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 Stronghurst's dominant minimal exposure actually means, with real examples from across the dataset.