Meade, KS
Meade, KS's wildfire risk, in USFS's own numbers
Meade sits at the 96th 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 1,086 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Meade at the 97th percentile, close to its 96th-percentile risk score.
What "at risk" means for the buildings here
84.2% of Meade's 1,086 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 15.8% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Meade against the rest of the country
Meade scores 96th nationally and 98th within Kansas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Meade ranks 1,199 for wildfire risk (1 is highest) and 11,364 by building count (1 is largest). Within Kansas alone, it ranks 18 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Meade and the insurance market
At the 96th percentile nationally, Meade 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.
What would actually reduce this score
With ember exposure the dominant pattern in Meade (84.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Meade's figures come from
The methodology guide shows exactly how USFS turned 1,086 counted buildings into the percentiles shown above for Meade. The exposure-zones guide covers what Meade's dominant indirect exposure actually means, with real examples from across the dataset.