Lynn Center, IL
Lynn Center wildfire risk explained
USFS scores Lynn Center at the 2nd national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 90 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Lynn Center at the 2nd percentile, close to its 2nd-percentile risk score.
What "at risk" means for the buildings here
84.4% of Lynn Center's 90 buildings sit in USFS's Minimal exposure zone, with only 15.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Lynn Center against the rest of the country
Lynn Center's risk sits at a similar level relative to Illinois (16th percentile statewide) as it does nationally (2nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Lynn Center ranks 30,820 for wildfire risk (1 is highest) and 29,485 by building count (1 is largest). Within Illinois alone, it ranks 1,219 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Shopping for coverage in Lynn Center
Lynn Center's low wildfire rating (2nd 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 Lynn Center
With 84.4% of buildings rated Minimal exposure, Lynn Center gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Lynn Center's figures come from
Lynn Center's 2nd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Lynn Center's dominant minimal exposure actually means, with real examples from across the dataset.