Fairmount, ND
Fairmount, ND's wildfire risk, in USFS's own numbers
Fairmount sits at the 9th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 311 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Fairmount's burn probability — fire likelihood with no building count factored in — sits at the 7th percentile nationally.
Where Fairmount's buildings actually sit
74.3% of Fairmount's 311 buildings sit in USFS's Minimal exposure zone, with only 25.7% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Fairmount against the rest of the country
Fairmount's risk sits at a similar level relative to North Dakota (2nd percentile statewide) as it does nationally (9th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Fairmount ranks 28,727 for wildfire risk (1 is highest) and 21,349 by building count (1 is largest). Within North Dakota alone, it ranks 395 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Shopping for coverage in Fairmount
Fairmount's low rating (9th 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
Fairmount's 74.3% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Fairmount's figures come from
Every one of the two percentiles behind Fairmount's 28,727-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Fairmount's dominant minimal exposure actually means, with real examples from across the dataset.