Randall, MN
How exposed is Randall to wildfire?
Randall sits at the 72nd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 455 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Randall at the 70th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
455 buildings are counted in Randall, and 53.2% 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 Randall compares
Compare Randall's two percentiles: 95th within Minnesota, only 72nd nationally — a gap of 23 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Randall ranks 8,884 for wildfire risk (1 is highest) and 18,176 by building count (1 is largest). Within Minnesota alone, it ranks 48 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.
What this risk score means for insurance
At the 72nd percentile nationally, Randall carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
With 53.2% of Randall in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Randall's figures come from
Randall's 72nd-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 Randall's dominant direct exposure actually means, with real examples from across the dataset.