Norcatur, KS
How exposed is Norcatur to wildfire?
Norcatur sits at the 32nd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 245 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 Norcatur at the 28th percentile, close to its 32nd-percentile risk score.
What "at risk" means for the buildings here
Norcatur rates 80% Minimal exposure against just 20% Direct and 0% Indirect — of 245 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Norcatur against the rest of the country
Norcatur ranks lower within Kansas (11th percentile statewide) than its 32nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Norcatur ranks 21,581 for wildfire risk (1 is highest) and 23,296 by building count (1 is largest). Within Kansas alone, it ranks 644 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Norcatur
Norcatur's moderate rating (32nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Even with 80% of Norcatur 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 Norcatur's figures come from
Every one of the two percentiles behind Norcatur's 21,581-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Norcatur's dominant minimal exposure actually means, with real examples from across the dataset.