Table Grove, IL
Table Grove, IL's wildfire risk, in USFS's own numbers
Table Grove sits at the 14th 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 282 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 Table Grove at the 14th percentile, close to its 14th-percentile risk score.
Table Grove's building exposure, zone by zone
97.9% of Table Grove's 282 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 2.1% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Table Grove against the rest of the country
Compare Table Grove's two percentiles: 51st within Illinois, only 14th nationally — a gap of 37 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Table Grove ranks 27,190 for wildfire risk (1 is highest) and 22,114 by building count (1 is largest). Within Illinois alone, it ranks 714 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
Table Grove's low wildfire rating (14th 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.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Table Grove (97.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Table Grove's figures come from
The methodology guide shows exactly how USFS turned 282 counted buildings into the percentiles shown above for Table Grove. The exposure-zones guide covers what Table Grove's dominant indirect exposure actually means, with real examples from across the dataset.