Equality, IL
Equality wildfire risk explained
Equality sits at the 21st 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 486 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 Equality at the 22nd percentile, close to its 21st-percentile risk score.
What "at risk" means for the buildings here
Equality rates 61.9% Minimal exposure against just 38.1% Direct and 0% Indirect — of 486 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Equality against the rest of the country
Compare Equality's two percentiles: 64th within Illinois, only 21st nationally — a gap of 43 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Equality ranks 24,827 for wildfire risk (1 is highest) and 17,598 by building count (1 is largest). Within Illinois alone, it ranks 520 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
Equality's moderate wildfire rating (21st 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
Even with 61.9% of Equality 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 Equality's figures come from
Equality's 21st-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 Equality's dominant minimal exposure actually means, with real examples from across the dataset.