WildfireRiskFinder

Fowler, KS

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

Very High
87thpercentile nationally

Fowler sits at the 87th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 441 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Fowler's burn probability — fire likelihood with no building count factored in — sits at the 87th percentile nationally.

Where Fowler's buildings actually sit

441Total buildings
22.9%Direct exposure
15.2%Indirect exposure
61.9%Minimal exposure

Fowler rates 61.9% Minimal exposure against just 22.9% Direct and 15.2% Indirect — of 441 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How Fowler compares

Fowler scores 87th nationally and 87th within Kansas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Fowler ranks 4,064 for wildfire risk (1 is highest) and 18,433 by building count (1 is largest). Within Kansas alone, it ranks 92 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

Shopping for coverage in Fowler

Fowler's very high rating (87th 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 61.9% of buildings rated Minimal exposure, Fowler gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Fowler's figures come from

The methodology guide shows exactly how USFS turned 441 counted buildings into the percentiles shown above for Fowler. The exposure-zones guide covers what Fowler's dominant minimal exposure actually means, with real examples from across the dataset.