Crosby, ND
Crosby, ND's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Crosby at the 30th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 1,009 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Crosby at the 27th percentile, close to its 30th-percentile risk score.
Where Crosby's buildings actually sit
96.7% of Crosby's 1,009 buildings sit in USFS's Minimal exposure zone, with only 3.3% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Crosby compares
Inside North Dakota, Crosby sits at just the 12th percentile even though it scores 30th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Crosby ranks 22,003 for wildfire risk (1 is highest) and 11,873 by building count (1 is largest). Within North Dakota alone, it ranks 354 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Shopping for coverage in Crosby
At the 30th national percentile, Crosby rates moderate 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
Even with 96.7% of Crosby outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Crosby's figures come from
Crosby's 30th-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 Crosby's dominant minimal exposure actually means, with real examples from across the dataset.