Clyde, KS
Clyde wildfire risk explained
Out of every US place USFS scores, Clyde lands at the 18th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 557 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Clyde at the 14th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS classifies 90.3% of Clyde's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 9.7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Clyde against the rest of the country
Clyde ranks lower within Kansas (2nd percentile statewide) than its 18th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Clyde ranks 25,840 for wildfire risk (1 is highest) and 16,455 by building count (1 is largest). Within Kansas alone, it ranks 710 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
Clyde's low rating (18th 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 90.3% of Clyde 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 Clyde's figures come from
Every one of the two percentiles behind Clyde's 25,840-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Clyde's dominant minimal exposure actually means, with real examples from across the dataset.