Sand Lake (Iosco), MI
Sand Lake (Iosco) wildfire risk explained
USFS scores Sand Lake (Iosco) at the 71st national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 1,935 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Sand Lake (Iosco) at the 68th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Sand Lake (Iosco)'s building exposure, zone by zone
1,935 buildings are counted in Sand Lake (Iosco), and 70.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 5.7% rated Minimal.
Where Sand Lake (Iosco) ranks
Compare Sand Lake (Iosco)'s two percentiles: 99th within Michigan, only 71st nationally — a gap of 28 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Sand Lake (Iosco) ranks 9,170 for wildfire risk (1 is highest) and 7,662 by building count (1 is largest). Within Michigan alone, it ranks 8 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Sand Lake (Iosco) and the insurance market
Sand Lake (Iosco)'s high rating (71st percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Sand Lake (Iosco)
Because Direct exposure dominates in Sand Lake (Iosco) (70.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Sand Lake (Iosco)'s figures come from
Sand Lake (Iosco)'s 71st-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 Sand Lake (Iosco)'s dominant direct exposure actually means, with real examples from across the dataset.