Hazelton, ND
Hazelton, ND's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Hazelton lands at the 36th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 248 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Hazelton at the 29th national percentile — 7 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Hazelton's buildings actually sit
Most of Hazelton's buildings (73.4% of 248) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Hazelton ranks
Hazelton ranks lower within North Dakota (18th percentile statewide) than its 36th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Hazelton ranks 20,081 for wildfire risk (1 is highest) and 23,217 by building count (1 is largest). Within North Dakota alone, it ranks 331 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
What this risk score means for insurance
Hazelton's moderate rating (36th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Hazelton
Even with 73.4% of Hazelton 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 Hazelton's figures come from
Hazelton's 36th-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 Hazelton's dominant minimal exposure actually means, with real examples from across the dataset.