Opdyke, IL
How exposed is Opdyke to wildfire?
Opdyke sits at the 8th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 191 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Opdyke at the 8th percentile, close to its 8th-percentile risk score.
Where Opdyke's buildings actually sit
60.2% of Opdyke's 191 buildings sit in USFS's Minimal exposure zone, with only 39.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Opdyke ranks
Opdyke's 38th-percentile standing inside Illinois outpaces its 8th 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, Opdyke ranks 28,926 for wildfire risk (1 is highest) and 25,194 by building count (1 is largest). Within Illinois alone, it ranks 893 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Opdyke
Opdyke's low wildfire rating (8th 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 Opdyke
Even with 60.2% of Opdyke 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 Opdyke's figures come from
Every one of the two percentiles behind Opdyke's 28,926-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Opdyke's dominant minimal exposure actually means, with real examples from across the dataset.