WildfireRiskFinder

Garnett, KS

Garnett wildfire risk explained

High
63rdpercentile nationally

USFS scores Garnett at the 63rd national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 2,267 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 Garnett at the 63rd percentile, close to its 63rd-percentile risk score.

Garnett's building exposure, zone by zone

2,267Total buildings
20.3%Direct exposure
79.4%Indirect exposure
0.3%Minimal exposure

USFS puts 79.4% of Garnett's 2,267 buildings in the Indirect exposure zone, versus 20.3% Direct and 0.3% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

Garnett against the rest of the country

Garnett's risk sits at a similar level relative to Kansas (57th percentile statewide) as it does nationally (63rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Garnett ranks 11,750 for wildfire risk (1 is highest) and 6,776 by building count (1 is largest). Within Kansas alone, it ranks 313 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

Shopping for coverage in Garnett

Garnett's high rating (63rd 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.

Hardening a home in Garnett

Because 79.4% of Garnett'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 Garnett's figures come from

Garnett's 63rd-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 Garnett's dominant indirect exposure actually means, with real examples from across the dataset.