Forest River, ND
Forest River, ND's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Forest River at the 16th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 126 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Forest River's burn probability — fire likelihood with no building count factored in — sits at the 16th percentile nationally.
Forest River's building exposure, zone by zone
Only 49.2% of Forest River's 126 buildings carry Direct exposure and 0% carry Indirect; the remaining 50.8% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Forest River compares
There's little gap between Forest River's 16th national percentile and its 4th 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, Forest River ranks 26,351 for wildfire risk (1 is highest) and 27,910 by building count (1 is largest). Within North Dakota alone, it ranks 385 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Shopping for coverage in Forest River
Forest River's low rating (16th 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
Forest River's 50.8% 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 Forest River's figures come from
Forest River's 16th-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 Forest River's dominant minimal exposure actually means, with real examples from across the dataset.