WildfireRiskFinder

Leeds, ND

Leeds wildfire risk explained

High
64thpercentile nationally

USFS's Wildfire Risk to Communities model puts Leeds at the 64th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 423 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 Leeds at the 62nd percentile, close to its 64th-percentile risk score.

Where Leeds's buildings actually sit

423Total buildings
19.4%Direct exposure
0%Indirect exposure
80.6%Minimal exposure

USFS classifies 80.6% of Leeds's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 19.4% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

How Leeds compares

Within North Dakota, Leeds ranks higher (80th percentile) than it does nationally (64th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Leeds ranks 11,324 for wildfire risk (1 is highest) and 18,782 by building count (1 is largest). Within North Dakota alone, it ranks 80 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.

Leeds and the insurance market

Leeds's high rating (64th 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.

Hardening a home in Leeds

Even with 80.6% of Leeds 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 Leeds's figures come from

The methodology guide shows exactly how USFS turned 423 counted buildings into the percentiles shown above for Leeds. The exposure-zones guide covers what Leeds's dominant minimal exposure actually means, with real examples from across the dataset.