Wolford, ND
Wolford wildfire risk explained
Wolford sits at the 52nd 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 48 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Wolford at the 48th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Wolford's buildings actually sit
Of Wolford's 48 counted buildings, 64.6% carry Direct exposure and only 35.4% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Wolford ranks
Wolford's risk sits at a similar level relative to North Dakota (58th percentile statewide) as it does nationally (52nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Wolford ranks 15,008 for wildfire risk (1 is highest) and 30,982 by building count (1 is largest). Within North Dakota alone, it ranks 168 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Wolford and the insurance market
At the 52nd national percentile, Wolford rates elevated 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 Wolford
With 64.6% of Wolford 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 Wolford's figures come from
The methodology guide shows exactly how USFS turned 48 counted buildings into the percentiles shown above for Wolford. The exposure-zones guide covers what Wolford's dominant direct exposure actually means, with real examples from across the dataset.