Poplar Grove, IL
Poplar Grove wildfire risk explained
Poplar Grove sits at the 7th 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 1,993 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 Poplar Grove at the 7th percentile, close to its 7th-percentile risk score.
Poplar Grove's building exposure, zone by zone
Most of Poplar Grove's buildings (82.4% of 1,993) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Poplar Grove ranks
Poplar Grove's 35th-percentile standing inside Illinois outpaces its 7th 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, Poplar Grove ranks 29,301 for wildfire risk (1 is highest) and 7,496 by building count (1 is largest). Within Illinois alone, it ranks 941 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Poplar Grove
At the 7th national percentile, Poplar Grove rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Poplar Grove
Poplar Grove's 82.4% 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 Poplar Grove's figures come from
Every one of the two percentiles behind Poplar Grove's 29,301-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Poplar Grove's dominant minimal exposure actually means, with real examples from across the dataset.