La Prairie, MN
La Prairie wildfire risk explained
Out of every US place USFS scores, La Prairie lands at the 33rd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 566 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, La Prairie's burn probability — fire likelihood with no building count factored in — sits at the 33rd percentile nationally.
Where La Prairie's buildings actually sit
USFS puts 67.8% of La Prairie's 566 buildings in the Indirect exposure zone, versus 32.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How La Prairie compares
There's little gap between La Prairie's 33rd national percentile and its 41st percentile inside Minnesota, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, La Prairie ranks 21,022 for wildfire risk (1 is highest) and 16,312 by building count (1 is largest). Within Minnesota alone, it ranks 538 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.
Shopping for coverage in La Prairie
La Prairie's moderate wildfire rating (33rd 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
La Prairie's 67.8% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where La Prairie's figures come from
Every one of the two percentiles behind La Prairie's 21,022-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what La Prairie's dominant indirect exposure actually means, with real examples from across the dataset.