Blissfield, MI
How exposed is Blissfield to wildfire?
Out of every US place USFS scores, Blissfield lands at the 1st percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,856 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Blissfield at the 2nd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS classifies 91.4% of Blissfield's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 8.6% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How Blissfield compares
Blissfield's risk sits at a similar level relative to Michigan (2nd percentile statewide) as it does nationally (1st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Blissfield ranks 31,080 for wildfire risk (1 is highest) and 7,891 by building count (1 is largest). Within Michigan alone, it ranks 733 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Blissfield
At the 1st national percentile, Blissfield rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Even with 91.4% of Blissfield 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 Blissfield's figures come from
Blissfield's 1st-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Blissfield's dominant minimal exposure actually means, with real examples from across the dataset.