Lankin, ND
Lankin wildfire risk explained
Lankin sits at the 47th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 153 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Lankin at the 46th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Lankin's building exposure, zone by zone
Only 15.7% of Lankin's 153 buildings carry Direct exposure and 0% carry Indirect; the remaining 84.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Lankin compares
There's little gap between Lankin's 47th national percentile and its 44th 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, Lankin ranks 16,771 for wildfire risk (1 is highest) and 26,767 by building count (1 is largest). Within North Dakota alone, it ranks 227 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Shopping for coverage in Lankin
Lankin's elevated rating (47th 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
Even with 84.3% of Lankin 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 Lankin's figures come from
Lankin's 47th-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 Lankin's dominant minimal exposure actually means, with real examples from across the dataset.