Hatton, ND
How exposed is Hatton to wildfire?
Hatton sits at the 41st percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 519 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 Hatton at the 39th percentile, close to its 41st-percentile risk score.
Hatton's building exposure, zone by zone
Most of Hatton's buildings (82.9%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Hatton compares
Hatton's risk sits at a similar level relative to North Dakota (26th percentile statewide) as it does nationally (41st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Hatton ranks 18,695 for wildfire risk (1 is highest) and 17,042 by building count (1 is largest). Within North Dakota alone, it ranks 298 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Hatton and the insurance market
Hatton's elevated rating (41st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Hatton's 82.9% 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 Hatton's figures come from
The methodology guide shows exactly how USFS turned 519 counted buildings into the percentiles shown above for Hatton. The exposure-zones guide covers what Hatton's dominant indirect exposure actually means, with real examples from across the dataset.