WildfireRiskFinder

Tecumseh, MI

Tecumseh, MI's wildfire risk, in USFS's own numbers

Low
8thpercentile nationally

Tecumseh's 3,947 buildings earn a 8th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

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

Tecumseh's building exposure, zone by zone

3,947Total buildings
16%Direct exposure
0%Indirect exposure
84%Minimal exposure

USFS classifies 84% of Tecumseh's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 16% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

How Tecumseh compares

Compare Tecumseh's two percentiles: 24th within Michigan, only 8th nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Tecumseh ranks 29,061 for wildfire risk (1 is highest) and 4,294 by building count (1 is largest). Within Michigan alone, it ranks 572 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.

Shopping for coverage in Tecumseh

At the 8th national percentile, Tecumseh 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

With 84% of buildings rated Minimal exposure, Tecumseh gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Tecumseh's figures come from

Tecumseh's 8th-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 Tecumseh's dominant minimal exposure actually means, with real examples from across the dataset.