WildfireRiskFinder

Esbon, KS

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

Moderate
29thpercentile nationally

Esbon sits at the 29th 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 171 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 Esbon at the 25th percentile, close to its 29th-percentile risk score.

What "at risk" means for the buildings here

171Total buildings
18.7%Direct exposure
0%Indirect exposure
81.3%Minimal exposure

Esbon rates 81.3% Minimal exposure against just 18.7% Direct and 0% Indirect — of 171 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How Esbon compares

Esbon ranks lower within Kansas (9th percentile statewide) than its 29th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Esbon ranks 22,307 for wildfire risk (1 is highest) and 25,982 by building count (1 is largest). Within Kansas alone, it ranks 654 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 29th national percentile, Esbon rates moderate 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

Esbon's 81.3% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Esbon's figures come from

The methodology guide shows exactly how USFS turned 171 counted buildings into the percentiles shown above for Esbon. The exposure-zones guide covers what Esbon's dominant minimal exposure actually means, with real examples from across the dataset.