Eudora, KS
Eudora, KS's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Eudora at the 52nd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 2,327 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Eudora at the 53rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Only 16.5% of Eudora's 2,327 buildings carry Direct exposure and 21.2% carry Indirect; the remaining 62.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Eudora against the rest of the country
Eudora ranks lower within Kansas (36th percentile statewide) than its 52nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Eudora ranks 15,088 for wildfire risk (1 is highest) and 6,649 by building count (1 is largest). Within Kansas alone, it ranks 461 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Eudora
Eudora's elevated rating (52nd 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
Even with 62.3% of Eudora 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 Eudora's figures come from
The methodology guide shows exactly how USFS turned 2,327 counted buildings into the percentiles shown above for Eudora. The exposure-zones guide covers what Eudora's dominant minimal exposure actually means, with real examples from across the dataset.