WildfireRiskFinder

Selden, KS

How exposed is Selden to wildfire?

Moderate
24thpercentile nationally

Out of every US place USFS scores, Selden lands at the 24th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 261 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Selden's burn probability — fire likelihood with no building count factored in — sits at the 20th percentile nationally.

Where Selden's buildings actually sit

261Total buildings
14.9%Direct exposure
0%Indirect exposure
85.1%Minimal exposure

USFS classifies 85.1% of Selden's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 14.9% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Where Selden ranks

Selden's 24th national percentile looks worse in isolation than its 5th ranking inside Kansas does — this place is on the milder end for its own state, by 19 points. Among the 31,521 US communities USFS scores, Selden ranks 24,013 for wildfire risk (1 is highest) and 22,800 by building count (1 is largest). Within Kansas alone, it ranks 687 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

Selden's moderate rating (24th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Selden's 85.1% 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 Selden's figures come from

The methodology guide shows exactly how USFS turned 261 counted buildings into the percentiles shown above for Selden. The exposure-zones guide covers what Selden's dominant minimal exposure actually means, with real examples from across the dataset.