Nassau, MN
How exposed is Nassau to wildfire?
Out of every US place USFS scores, Nassau lands at the 47th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 95 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 Nassau at the 38th percentile, close to its 47th-percentile risk score.
Nassau's building exposure, zone by zone
72.6% of Nassau's 95 buildings sit in USFS's Minimal exposure zone, with only 27.4% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Nassau against the rest of the country
Nassau's 69th-percentile standing inside Minnesota outpaces its 47th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Nassau ranks 16,796 for wildfire risk (1 is highest) and 29,272 by building count (1 is largest). Within Minnesota alone, it ranks 281 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.
Nassau and the insurance market
Nassau's elevated wildfire rating (47th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
With 72.6% of buildings rated Minimal exposure, Nassau gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Nassau's figures come from
Every one of the two percentiles behind Nassau's 16,796-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Nassau's dominant minimal exposure actually means, with real examples from across the dataset.