Foxholm, ND
Foxholm wildfire risk explained
Foxholm sits at the 55th 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 68 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Foxholm at the 54th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Foxholm's buildings actually sit
68 buildings are counted in Foxholm, and 64.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
How Foxholm compares
Foxholm's risk sits at a similar level relative to North Dakota (63rd percentile statewide) as it does nationally (55th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Foxholm ranks 14,130 for wildfire risk (1 is highest) and 30,363 by building count (1 is largest). Within North Dakota alone, it ranks 151 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
What this risk score means for insurance
Foxholm's elevated rating (55th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Foxholm
With 64.7% of Foxholm in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Foxholm's figures come from
Every one of the two percentiles behind Foxholm's 14,130-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Foxholm's dominant direct exposure actually means, with real examples from across the dataset.