Kathryn, ND
How exposed is Kathryn to wildfire?
Kathryn's 88 buildings earn a 77th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Kathryn at the 70th national percentile — 7 points below its risk-to-structures score, a gap driven by how much is actually built there.
Kathryn's building exposure, zone by zone
USFS classifies 53.4% of Kathryn's buildings as Direct exposure, higher than its 46.6% Indirect share and far above its 0% Minimal share — a profile where 47 structures sit close enough to vegetation that lot clearing matters most.
How Kathryn compares
Kathryn's 93rd-percentile standing inside North Dakota outpaces its 77th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Kathryn ranks 7,223 for wildfire risk (1 is highest) and 29,586 by building count (1 is largest). Within North Dakota alone, it ranks 29 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Kathryn and the insurance market
At the 77th percentile nationally, Kathryn 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.
Hardening a home in Kathryn
With 53.4% of Kathryn in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Kathryn's figures come from
Kathryn's 77th-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 Kathryn's dominant direct exposure actually means, with real examples from across the dataset.