WildfireRiskFinder

Burdett, KS

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

Moderate
38thpercentile nationally

USFS's Wildfire Risk to Communities model puts Burdett at the 38th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 243 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Burdett's burn probability — fire likelihood with no building count factored in — sits at the 34th percentile nationally.

What "at risk" means for the buildings here

243Total buildings
19.3%Direct exposure
79.8%Indirect exposure
0.8%Minimal exposure

243 buildings are counted in Burdett, and 79.8% of them are Indirect exposure — ember-driven risk rather than the 19.3% in Direct exposure or the 0.8% rated Minimal.

Where Burdett ranks

Inside Kansas, Burdett sits at just the 14th percentile even though it scores 38th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Burdett ranks 19,597 for wildfire risk (1 is highest) and 23,359 by building count (1 is largest). Within Kansas alone, it ranks 620 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

Burdett and the insurance market

Burdett's moderate rating (38th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

With ember exposure the dominant pattern in Burdett (79.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Burdett's figures come from

The methodology guide shows exactly how USFS turned 243 counted buildings into the percentiles shown above for Burdett. The exposure-zones guide covers what Burdett's dominant indirect exposure actually means, with real examples from across the dataset.