Starkville, CO
Starkville wildfire risk explained
Starkville's 63 buildings earn a 98th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Starkville at the 94th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
79.4% of Starkville's 63 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 20.6% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Starkville ranks
Starkville scores 98th nationally and 90th within Colorado — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Starkville ranks 719 for wildfire risk (1 is highest) and 30,536 by building count (1 is largest). Within Colorado alone, it ranks 48 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.
Starkville and the insurance market
Starkville's 98th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Starkville
Starkville's 79.4% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Starkville's figures come from
Every one of the two percentiles behind Starkville's 719-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Starkville's dominant indirect exposure actually means, with real examples from across the dataset.