Log Lane Village, CO
How exposed is Log Lane Village to wildfire?
Log Lane Village sits at the 50th 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 497 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Log Lane Village at the 52nd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
497 buildings are counted in Log Lane Village, and 98% of them are Indirect exposure — ember-driven risk rather than the 2% in Direct exposure or the 0% rated Minimal.
Where Log Lane Village ranks
Log Lane Village's 50th national percentile looks worse in isolation than its 19th ranking inside Colorado does — this place is on the milder end for its own state, by 32 points. Among the 31,521 US communities USFS scores, Log Lane Village ranks 15,623 for wildfire risk (1 is highest) and 17,399 by building count (1 is largest). Within Colorado alone, it ranks 383 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.
What this risk score means for insurance
Log Lane Village's elevated rating (50th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Because 98% of Log Lane Village'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 Log Lane Village's figures come from
Log Lane Village's 50th-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 Log Lane Village's dominant indirect exposure actually means, with real examples from across the dataset.