WildfireRiskFinder

Robinson, ND

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

Elevated
49thpercentile nationally

Robinson's 102 buildings earn a 49th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Robinson's burn probability — fire likelihood with no building count factored in — sits at the 46th percentile nationally.

Where Robinson's buildings actually sit

102Total buildings
40.2%Direct exposure
57.8%Indirect exposure
2%Minimal exposure

Most of Robinson's buildings (57.8%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.

How Robinson compares

Robinson scores 49th nationally and 48th 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, Robinson ranks 16,179 for wildfire risk (1 is highest) and 28,966 by building count (1 is largest). Within North Dakota alone, it ranks 210 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.

What this risk score means for insurance

At the 49th national percentile, Robinson rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Robinson

Because 57.8% of Robinson's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Robinson's figures come from

Robinson'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 Robinson's dominant indirect exposure actually means, with real examples from across the dataset.