WildfireRiskFinder

Onaga, KS

How exposed is Onaga to wildfire?

Very High
90thpercentile nationally

USFS's Wildfire Risk to Communities model puts Onaga at the 90th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 539 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Onaga at the 88th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Onaga's buildings actually sit

539Total buildings
18.7%Direct exposure
81.3%Indirect exposure
0%Minimal exposure

539 buildings are counted in Onaga, and 81.3% of them are Indirect exposure — ember-driven risk rather than the 18.7% in Direct exposure or the 0% rated Minimal.

Where Onaga ranks

Onaga scores 90th nationally and 90th 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, Onaga ranks 3,278 for wildfire risk (1 is highest) and 16,730 by building count (1 is largest). Within Kansas alone, it ranks 71 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 90th percentile nationally, Onaga 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.

Lowering exposure, not just insuring around it

Because 81.3% of Onaga'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 Onaga's figures come from

Onaga's 90th-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 Onaga's dominant indirect exposure actually means, with real examples from across the dataset.