WildfireRiskFinder

Martin, ND

Martin, ND's wildfire risk, in USFS's own numbers

Moderate
26thpercentile nationally

USFS scores Martin at the 26th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 117 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Martin at the 23rd national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.

What "at risk" means for the buildings here

117Total buildings
16.2%Direct exposure
0%Indirect exposure
83.8%Minimal exposure

Martin rates 83.8% Minimal exposure against just 16.2% Direct and 0% Indirect — of 117 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How Martin compares

Martin's 26th national percentile looks worse in isolation than its 10th ranking inside North Dakota does — this place is on the milder end for its own state, by 17 points. Among the 31,521 US communities USFS scores, Martin ranks 23,206 for wildfire risk (1 is highest) and 28,322 by building count (1 is largest). Within North Dakota alone, it ranks 363 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.

Shopping for coverage in Martin

At the 26th national percentile, Martin rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

Martin's 83.8% 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 Martin's figures come from

The methodology guide shows exactly how USFS turned 117 counted buildings into the percentiles shown above for Martin. The exposure-zones guide covers what Martin's dominant minimal exposure actually means, with real examples from across the dataset.