WildfireRiskFinder

Moline, KS

Moline, KS's wildfire risk, in USFS's own numbers

Very High
95thpercentile nationally

USFS scores Moline at the 95th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 366 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 Moline at the 94th percentile, close to its 95th-percentile risk score.

What "at risk" means for the buildings here

366Total buildings
23%Direct exposure
77.1%Indirect exposure
0%Minimal exposure

77.1% of Moline's 366 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 23% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

Where Moline ranks

Moline scores 95th nationally and 96th within Kansas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Moline ranks 1,603 for wildfire risk (1 is highest) and 19,941 by building count (1 is largest). Within Kansas alone, it ranks 29 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

What this risk score means for insurance

At the 95th percentile nationally, Moline carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.

Hardening a home in Moline

With ember exposure the dominant pattern in Moline (77.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Moline's figures come from

The methodology guide shows exactly how USFS turned 366 counted buildings into the percentiles shown above for Moline. The exposure-zones guide covers what Moline's dominant indirect exposure actually means, with real examples from across the dataset.