East Fairview, ND
East Fairview wildfire risk explained
USFS scores East Fairview at the 44th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 126 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks East Fairview at the 43rd national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where East Fairview's buildings actually sit
USFS puts 96% of East Fairview's 126 buildings in the Indirect exposure zone, versus 4% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where East Fairview ranks
East Fairview scores 44th nationally and 35th 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, East Fairview ranks 17,658 for wildfire risk (1 is highest) and 27,909 by building count (1 is largest). Within North Dakota alone, it ranks 261 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
East Fairview and the insurance market
At the 44th national percentile, East Fairview 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
East Fairview's 96% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where East Fairview's figures come from
East Fairview's 44th-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 East Fairview's dominant indirect exposure actually means, with real examples from across the dataset.