WildfireRiskFinder

Tekonsha, MI

How exposed is Tekonsha to wildfire?

Low
7thpercentile nationally

Out of every US place USFS scores, Tekonsha lands at the 7th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 456 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 Tekonsha at the 7th percentile, close to its 7th-percentile risk score.

Tekonsha's building exposure, zone by zone

456Total buildings
19.3%Direct exposure
79.4%Indirect exposure
1.3%Minimal exposure

79.4% of Tekonsha's 456 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 19.3% Direct and 1.3% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

Tekonsha against the rest of the country

Tekonsha scores 7th nationally and 21st within Michigan — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Tekonsha ranks 29,286 for wildfire risk (1 is highest) and 18,156 by building count (1 is largest). Within Michigan alone, it ranks 592 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.

Tekonsha and the insurance market

Tekonsha's low rating (7th 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 Tekonsha (79.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Tekonsha's figures come from

The methodology guide shows exactly how USFS turned 456 counted buildings into the percentiles shown above for Tekonsha. The exposure-zones guide covers what Tekonsha's dominant indirect exposure actually means, with real examples from across the dataset.