WildfireRiskFinder

Amidon, ND

How exposed is Amidon to wildfire?

Elevated
56thpercentile nationally

USFS scores Amidon at the 56th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 86 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Amidon's burn probability — fire likelihood with no building count factored in — sits at the 55th percentile nationally.

Amidon's building exposure, zone by zone

86Total buildings
51.2%Direct exposure
48.8%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Amidon: 51.2% of its 86 buildings, versus 48.8% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

How Amidon compares

Amidon's risk sits at a similar level relative to North Dakota (67th percentile statewide) as it does nationally (56th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Amidon ranks 13,715 for wildfire risk (1 is highest) and 29,662 by building count (1 is largest). Within North Dakota alone, it ranks 134 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

Amidon's elevated rating (56th 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 Amidon

Because Direct exposure dominates in Amidon (51.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Amidon's figures come from

Amidon's 56th-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 Amidon's dominant direct exposure actually means, with real examples from across the dataset.