WildfireRiskFinder

Raleigh, ND

Raleigh, ND's wildfire risk, in USFS's own numbers

High
76thpercentile nationally

USFS's Wildfire Risk to Communities model puts Raleigh at the 76th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 45 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 Raleigh at the 73rd percentile, close to its 76th-percentile risk score.

Raleigh's building exposure, zone by zone

45Total buildings
84.4%Direct exposure
15.6%Indirect exposure
0%Minimal exposure

45 buildings are counted in Raleigh, and 84.4% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.

How Raleigh compares

Within North Dakota, Raleigh ranks higher (92nd percentile) than it does nationally (76th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Raleigh ranks 7,729 for wildfire risk (1 is highest) and 31,055 by building count (1 is largest). Within North Dakota alone, it ranks 34 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.

Raleigh and the insurance market

Raleigh's high rating (76th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

What would actually reduce this score

Because Direct exposure dominates in Raleigh (84.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Raleigh's figures come from

Raleigh's 76th-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 Raleigh's dominant direct exposure actually means, with real examples from across the dataset.