WildfireRiskFinder

Elliott, ND

Elliott wildfire risk explained

Elevated
49thpercentile nationally

USFS scores Elliott at the 49th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 63 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Elliott at the 48th percentile, close to its 49th-percentile risk score.

Where Elliott's buildings actually sit

63Total buildings
50.8%Direct exposure
0%Indirect exposure
49.2%Minimal exposure

Of Elliott's 63 counted buildings, 50.8% carry Direct exposure and only 49.2% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

How Elliott compares

Elliott scores 49th nationally and 50th 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, Elliott ranks 15,986 for wildfire risk (1 is highest) and 30,553 by building count (1 is largest). Within North Dakota alone, it ranks 202 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.

Elliott and the insurance market

Elliott's elevated rating (49th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Because Direct exposure dominates in Elliott (50.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Elliott's figures come from

Elliott's 49th-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 Elliott's dominant direct exposure actually means, with real examples from across the dataset.