WildfireRiskFinder

Douglas, ND

How exposed is Douglas to wildfire?

Elevated
42ndpercentile nationally

Douglas's 106 buildings earn a 42nd-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.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Douglas at the 37th percentile, close to its 42nd-percentile risk score.

What "at risk" means for the buildings here

106Total buildings
39.6%Direct exposure
0%Indirect exposure
60.4%Minimal exposure

Most of Douglas's buildings (60.4% of 106) 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.

Where Douglas ranks

Douglas's risk sits at a similar level relative to North Dakota (30th percentile statewide) as it does nationally (42nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Douglas ranks 18,191 for wildfire risk (1 is highest) and 28,780 by building count (1 is largest). Within North Dakota alone, it ranks 281 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.

Douglas and the insurance market

At the 42nd national percentile, Douglas rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Douglas's 60.4% 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 Douglas's figures come from

Douglas's 42nd-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 Douglas's dominant minimal exposure actually means, with real examples from across the dataset.