WildfireRiskFinder

Albany, MN

How exposed is Albany to wildfire?

Elevated
46thpercentile nationally

Out of every US place USFS scores, Albany lands at the 46th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 1,208 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Albany at the 46th percentile, close to its 46th-percentile risk score.

Where Albany's buildings actually sit

1,208Total buildings
10.2%Direct exposure
86.3%Indirect exposure
3.5%Minimal exposure

1,208 buildings are counted in Albany, and 86.3% of them are Indirect exposure — ember-driven risk rather than the 10.2% in Direct exposure or the 3.5% rated Minimal.

Where Albany ranks

Within Minnesota, Albany ranks higher (68th percentile) than it does nationally (46th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Albany ranks 17,015 for wildfire risk (1 is highest) and 10,600 by building count (1 is largest). Within Minnesota alone, it ranks 295 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

Shopping for coverage in Albany

Albany's elevated rating (46th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Because 86.3% of Albany'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 Albany's figures come from

The methodology guide shows exactly how USFS turned 1,208 counted buildings into the percentiles shown above for Albany. The exposure-zones guide covers what Albany's dominant indirect exposure actually means, with real examples from across the dataset.