Nambe, NM
Nambe, NM's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Nambe at the 83rd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 1,256 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Nambe at the 78th 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
1,256 buildings are counted in Nambe, and 93.5% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Nambe ranks
Nambe ranks lower within New Mexico (58th percentile statewide) than its 83rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Nambe ranks 5,457 for wildfire risk (1 is highest) and 10,318 by building count (1 is largest). Within New Mexico alone, it ranks 210 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
Nambe and the insurance market
Nambe's 83rd-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.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Nambe (93.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Nambe's figures come from
Nambe's 83rd-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 Nambe's dominant direct exposure actually means, with real examples from across the dataset.