Morrill, KS
Morrill wildfire risk explained
USFS's Wildfire Risk to Communities model puts Morrill at the 56th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 212 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Morrill at the 55th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Morrill's building exposure, zone by zone
Only 19.8% of Morrill's 212 buildings carry Direct exposure and 0% carry Indirect; the remaining 80.2% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Morrill compares
There's little gap between Morrill's 56th national percentile and its 45th percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Morrill ranks 13,804 for wildfire risk (1 is highest) and 24,395 by building count (1 is largest). Within Kansas alone, it ranks 398 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
Morrill's elevated rating (56th 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
Even with 80.2% of Morrill outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Morrill's figures come from
Morrill's 56th-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 Morrill's dominant minimal exposure actually means, with real examples from across the dataset.