Hague, ND
Hague, ND's wildfire risk, in USFS's own numbers
USFS scores Hague at the 66th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 136 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hague at the 58th percentile, close to its 66th-percentile risk score.
Where Hague's buildings actually sit
USFS classifies 77.9% of Hague's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 22.1% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Hague ranks
Within North Dakota, Hague ranks higher (84th percentile) than it does nationally (66th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Hague ranks 10,690 for wildfire risk (1 is highest) and 27,460 by building count (1 is largest). Within North Dakota alone, it ranks 64 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Shopping for coverage in Hague
Hague's 66th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Hague
Even with 77.9% of Hague 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 Hague's figures come from
The methodology guide shows exactly how USFS turned 136 counted buildings into the percentiles shown above for Hague. The exposure-zones guide covers what Hague's dominant minimal exposure actually means, with real examples from across the dataset.