Creal Springs, IL
Creal Springs, IL's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Creal Springs lands at the 52nd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 439 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Creal Springs at the 55th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
439 buildings are counted in Creal Springs, and 55.4% of them are Indirect exposure — ember-driven risk rather than the 44.7% in Direct exposure or the 0% rated Minimal.
Creal Springs against the rest of the country
Within Illinois, Creal Springs ranks higher (99th percentile) than it does nationally (52nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Creal Springs ranks 15,153 for wildfire risk (1 is highest) and 18,476 by building count (1 is largest). Within Illinois alone, it ranks 16 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Creal Springs and the insurance market
At the 52nd national percentile, Creal Springs rates elevated 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 Creal Springs
Because 55.4% of Creal Springs's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Creal Springs's figures come from
Creal Springs's 52nd-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 Creal Springs's dominant indirect exposure actually means, with real examples from across the dataset.