Randolph, KS
Randolph, KS's wildfire risk, in USFS's own numbers
Randolph sits at the 94th 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 126 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Randolph at the 92nd national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Randolph's buildings actually sit
USFS puts 69.8% of Randolph's 126 buildings in the Indirect exposure zone, versus 30.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Randolph compares
There's little gap between Randolph's 94th national percentile and its 95th percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Randolph ranks 1,796 for wildfire risk (1 is highest) and 27,892 by building count (1 is largest). Within Kansas alone, it ranks 35 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Randolph and the insurance market
At the 94th percentile nationally, Randolph carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Randolph
Randolph's 69.8% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Randolph's figures come from
The methodology guide shows exactly how USFS turned 126 counted buildings into the percentiles shown above for Randolph. The exposure-zones guide covers what Randolph's dominant indirect exposure actually means, with real examples from across the dataset.