Currie, MN
How exposed is Currie to wildfire?
Currie sits at the 23rd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 225 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Currie at the 17th percentile, close to its 23rd-percentile risk score.
Where Currie's buildings actually sit
USFS classifies 68% of Currie's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 32% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Currie against the rest of the country
Currie scores 23rd nationally and 27th within Minnesota — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Currie ranks 24,299 for wildfire risk (1 is highest) and 23,946 by building count (1 is largest). Within Minnesota alone, it ranks 668 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
Currie's moderate rating (23rd 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
Even with 68% of Currie outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Currie's figures come from
Every one of the two percentiles behind Currie's 24,299-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Currie's dominant minimal exposure actually means, with real examples from across the dataset.