WildfireRiskFinder

Casselton, ND

Casselton wildfire risk explained

Elevated
45thpercentile nationally

Casselton's 1,250 buildings earn a 45th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Casselton's burn probability — fire likelihood with no building count factored in — sits at the 45th percentile nationally.

What "at risk" means for the buildings here

1,250Total buildings
20.6%Direct exposure
0%Indirect exposure
79.4%Minimal exposure

Most of Casselton's buildings (79.4% of 1,250) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

How Casselton compares

Casselton scores 45th nationally and 37th within North Dakota — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Casselton ranks 17,495 for wildfire risk (1 is highest) and 10,354 by building count (1 is largest). Within North Dakota alone, it ranks 255 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

Casselton's elevated rating (45th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

With 79.4% of buildings rated Minimal exposure, Casselton gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Casselton's figures come from

The methodology guide shows exactly how USFS turned 1,250 counted buildings into the percentiles shown above for Casselton. The exposure-zones guide covers what Casselton's dominant minimal exposure actually means, with real examples from across the dataset.