Seibert, CO
Seibert wildfire risk explained
Seibert sits at the 47th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 253 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Seibert's burn probability — fire likelihood with no building count factored in — sits at the 44th percentile nationally.
Seibert's building exposure, zone by zone
Most of Seibert's buildings (74.3%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Seibert against the rest of the country
Inside Colorado, Seibert sits at just the 14th percentile even though it scores 47th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Seibert ranks 16,850 for wildfire risk (1 is highest) and 23,037 by building count (1 is largest). Within Colorado alone, it ranks 408 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.
Seibert and the insurance market
Seibert's elevated rating (47th 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
Because 74.3% of Seibert's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Seibert's figures come from
Seibert's 47th-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 Seibert's dominant indirect exposure actually means, with real examples from across the dataset.