Park Falls, WI
Park Falls, WI's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Park Falls lands at the 17th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,772 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 Park Falls at the 17th percentile, close to its 17th-percentile risk score.
Park Falls's building exposure, zone by zone
67.5% of Park Falls's 1,772 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 32.5% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Park Falls ranks
Park Falls scores 17th nationally and 23rd within Wisconsin — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Park Falls ranks 26,178 for wildfire risk (1 is highest) and 8,146 by building count (1 is largest). Within Wisconsin alone, it ranks 627 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Park Falls and the insurance market
Park Falls's low wildfire rating (17th 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.
What would actually reduce this score
Park Falls's 67.5% 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 Park Falls's figures come from
Every one of the two percentiles behind Park Falls's 26,178-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Park Falls's dominant indirect exposure actually means, with real examples from across the dataset.