Denhoff, ND
Denhoff wildfire risk explained
Denhoff sits at the 38th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 39 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Denhoff at the 34th national percentile — 5 points below its risk-to-structures score, a gap driven by how much is actually built there.
Denhoff's building exposure, zone by zone
Direct exposure dominates in Denhoff: 100% of its 39 buildings, versus 0% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Denhoff ranks
Denhoff ranks lower within North Dakota (22nd percentile statewide) than its 38th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Denhoff ranks 19,485 for wildfire risk (1 is highest) and 31,194 by building count (1 is largest). Within North Dakota alone, it ranks 316 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Shopping for coverage in Denhoff
At the 38th national percentile, Denhoff rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Denhoff
With 100% of Denhoff 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 Denhoff's figures come from
Every one of the two percentiles behind Denhoff's 19,485-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Denhoff's dominant direct exposure actually means, with real examples from across the dataset.