WildfireRiskFinder

Maunie, IL

How exposed is Maunie to wildfire?

Low
9thpercentile nationally

USFS scores Maunie at the 9th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 134 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 Maunie at the 9th percentile, close to its 9th-percentile risk score.

Where Maunie's buildings actually sit

134Total buildings
32.1%Direct exposure
67.2%Indirect exposure
0.8%Minimal exposure

Indirect exposure is dominant in Maunie (67.2% of 134 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 32.1% sit in the Direct zone.

How Maunie compares

Within Illinois, Maunie ranks higher (40th percentile) than it does nationally (9th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Maunie ranks 28,672 for wildfire risk (1 is highest) and 27,529 by building count (1 is largest). Within Illinois alone, it ranks 862 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Maunie and the insurance market

At the 9th national percentile, Maunie rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

Maunie's 67.2% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.

Where Maunie's figures come from

Every one of the two percentiles behind Maunie's 28,672-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Maunie's dominant indirect exposure actually means, with real examples from across the dataset.