Coatsburg, IL
How exposed is Coatsburg to wildfire?
USFS's Wildfire Risk to Communities model puts Coatsburg at the 23rd national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 143 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Coatsburg at the 23rd percentile, close to its 23rd-percentile risk score.
What "at risk" means for the buildings here
Most of Coatsburg's buildings (99.3% of 143) 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.
Coatsburg against the rest of the country
Coatsburg's 68th-percentile standing inside Illinois outpaces its 23rd 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, Coatsburg ranks 24,135 for wildfire risk (1 is highest) and 27,146 by building count (1 is largest). Within Illinois alone, it ranks 465 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Coatsburg and the insurance market
Coatsburg's moderate rating (23rd 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 99.3% of Coatsburg 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 Coatsburg's figures come from
The methodology guide shows exactly how USFS turned 143 counted buildings into the percentiles shown above for Coatsburg. The exposure-zones guide covers what Coatsburg's dominant minimal exposure actually means, with real examples from across the dataset.