Osawatomie, KS
Osawatomie wildfire risk explained
Out of every US place USFS scores, Osawatomie lands at the 60th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 2,089 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Osawatomie at the 61st national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Osawatomie's buildings actually sit
82.4% of Osawatomie's 2,089 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 16.5% Direct and 1.1% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Osawatomie ranks
There's little gap between Osawatomie's 60th national percentile and its 53rd percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Osawatomie ranks 12,629 for wildfire risk (1 is highest) and 7,222 by building count (1 is largest). Within Kansas alone, it ranks 342 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Osawatomie
At the 60th national percentile, Osawatomie rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Osawatomie
Because 82.4% of Osawatomie's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Osawatomie's figures come from
Osawatomie's 60th-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 Osawatomie's dominant indirect exposure actually means, with real examples from across the dataset.