City of Creede, CO
City of Creede wildfire risk explained
City of Creede sits at the 58th 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 446 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, City of Creede's burn probability — fire likelihood with no building count factored in — sits at the 55th percentile nationally.
What "at risk" means for the buildings here
Indirect exposure is dominant in City of Creede (76.9% of 446 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 23.1% sit in the Direct zone.
How City of Creede compares
City of Creede ranks lower within Colorado (27th percentile statewide) than its 58th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, City of Creede ranks 13,232 for wildfire risk (1 is highest) and 18,344 by building count (1 is largest). Within Colorado alone, it ranks 347 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.
Shopping for coverage in City of Creede
At the 58th national percentile, City of Creede rates elevated 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
Because 76.9% of City of Creede'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 City of Creede's figures come from
City of Creede's 58th-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 City of Creede's dominant indirect exposure actually means, with real examples from across the dataset.