Pettibone, ND
Pettibone, ND's wildfire risk, in USFS's own numbers
Pettibone's 115 buildings earn a 49th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Pettibone's burn probability — fire likelihood with no building count factored in — sits at the 43rd percentile nationally.
Pettibone's building exposure, zone by zone
Most of Pettibone's buildings (53%) 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 Pettibone compares
There's little gap between Pettibone's 49th national percentile and its 48th percentile inside North Dakota, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Pettibone ranks 16,147 for wildfire risk (1 is highest) and 28,422 by building count (1 is largest). Within North Dakota alone, it ranks 209 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Shopping for coverage in Pettibone
At the 49th national percentile, Pettibone rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Pettibone
Pettibone's 53% 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 Pettibone's figures come from
Pettibone's 49th-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 Pettibone's dominant indirect exposure actually means, with real examples from across the dataset.