WildfireRiskFinder

Bergland, MI

Bergland wildfire risk explained

Low
9thpercentile nationally

Bergland sits at the 9th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 246 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Bergland's burn probability — fire likelihood with no building count factored in — sits at the 9th percentile nationally.

Bergland's building exposure, zone by zone

246Total buildings
42.3%Direct exposure
57.7%Indirect exposure
0%Minimal exposure

246 buildings are counted in Bergland, and 57.7% of them are Indirect exposure — ember-driven risk rather than the 42.3% in Direct exposure or the 0% rated Minimal.

How Bergland compares

Bergland's 28th-percentile standing inside Michigan outpaces its 9th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Bergland ranks 28,684 for wildfire risk (1 is highest) and 23,271 by building count (1 is largest). Within Michigan alone, it ranks 534 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.

Bergland and the insurance market

Bergland's low rating (9th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

With ember exposure the dominant pattern in Bergland (57.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Bergland's figures come from

Bergland's 9th-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 Bergland's dominant indirect exposure actually means, with real examples from across the dataset.