Devils Lake, ND
Devils Lake wildfire risk explained
USFS's Wildfire Risk to Communities model puts Devils Lake at the 73rd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 3,708 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Devils Lake at the 71st national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Devils Lake's building exposure, zone by zone
Only 7.9% of Devils Lake's 3,708 buildings carry Direct exposure and 0% carry Indirect; the remaining 92.1% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Devils Lake against the rest of the country
Devils Lake's 90th-percentile standing inside North Dakota outpaces its 73rd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Devils Lake ranks 8,452 for wildfire risk (1 is highest) and 4,513 by building count (1 is largest). Within North Dakota alone, it ranks 41 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Shopping for coverage in Devils Lake
Devils Lake's high rating (73rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
Devils Lake's 92.1% 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 Devils Lake's figures come from
The methodology guide shows exactly how USFS turned 3,708 counted buildings into the percentiles shown above for Devils Lake. The exposure-zones guide covers what Devils Lake's dominant minimal exposure actually means, with real examples from across the dataset.