Manter, KS
How exposed is Manter to wildfire?
Manter sits at the 76th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 209 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 Manter at the 73rd percentile, close to its 76th-percentile risk score.
Where Manter's buildings actually sit
209 buildings are counted in Manter, and 56.5% of them are Indirect exposure — ember-driven risk rather than the 43.5% in Direct exposure or the 0% rated Minimal.
Manter against the rest of the country
There's little gap between Manter's 76th national percentile and its 73rd percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Manter ranks 7,722 for wildfire risk (1 is highest) and 24,512 by building count (1 is largest). Within Kansas alone, it ranks 197 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Manter
At the 76th percentile nationally, Manter carries the 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
Because 56.5% of Manter'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 Manter's figures come from
Every one of the two percentiles behind Manter's 7,722-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Manter's dominant indirect exposure actually means, with real examples from across the dataset.