WildfireRiskFinder

Ness City, KS

How exposed is Ness City to wildfire?

Elevated
49thpercentile nationally

Ness City's 1,144 buildings earn a 49th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Ness City's burn probability — fire likelihood with no building count factored in — sits at the 46th percentile nationally.

What "at risk" means for the buildings here

1,144Total buildings
10.1%Direct exposure
89.9%Indirect exposure
0%Minimal exposure

1,144 buildings are counted in Ness City, and 89.9% of them are Indirect exposure — ember-driven risk rather than the 10.1% in Direct exposure or the 0% rated Minimal.

How Ness City compares

Ness City ranks lower within Kansas (29th percentile statewide) than its 49th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Ness City ranks 16,197 for wildfire risk (1 is highest) and 10,995 by building count (1 is largest). Within Kansas alone, it ranks 515 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

Ness City and the insurance market

At the 49th national percentile, Ness City rates elevated 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

Because 89.9% of Ness City'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 Ness City's figures come from

Ness City's 49th-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 Ness City's dominant indirect exposure actually means, with real examples from across the dataset.