WildfireRiskFinder

Buhler, KS

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

High
74thpercentile nationally

Buhler's 656 buildings earn a 74th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Buhler at the 69th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Buhler's buildings actually sit

656Total buildings
5.5%Direct exposure
0%Indirect exposure
94.5%Minimal exposure

USFS classifies 94.5% of Buhler's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 5.5% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

How Buhler compares

Buhler's risk sits at a similar level relative to Kansas (71st percentile statewide) as it does nationally (74th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Buhler ranks 8,354 for wildfire risk (1 is highest) and 15,113 by building count (1 is largest). Within Kansas alone, it ranks 211 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

Shopping for coverage in Buhler

Buhler's high rating (74th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

What would actually reduce this score

With 94.5% of buildings rated Minimal exposure, Buhler gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Buhler's figures come from

The methodology guide shows exactly how USFS turned 656 counted buildings into the percentiles shown above for Buhler. The exposure-zones guide covers what Buhler's dominant minimal exposure actually means, with real examples from across the dataset.