Greenwood, IL
How exposed is Greenwood to wildfire?
Greenwood sits at the 22nd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 295 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Greenwood's burn probability — fire likelihood with no building count factored in — sits at the 23rd percentile nationally.
What "at risk" means for the buildings here
USFS classifies 78% of Greenwood's buildings as Direct exposure, higher than its 1% Indirect share and far above its 21% Minimal share — a profile where 230 structures sit close enough to vegetation that lot clearing matters most.
Where Greenwood ranks
Greenwood's 66th-percentile standing inside Illinois outpaces its 22nd 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, Greenwood ranks 24,446 for wildfire risk (1 is highest) and 21,752 by building count (1 is largest). Within Illinois alone, it ranks 487 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
At the 22nd national percentile, Greenwood rates moderate 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
Greenwood's 78% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Greenwood's figures come from
The methodology guide shows exactly how USFS turned 295 counted buildings into the percentiles shown above for Greenwood. The exposure-zones guide covers what Greenwood's dominant direct exposure actually means, with real examples from across the dataset.