Cañoncito, NM
Cañoncito, NM's wildfire risk, in USFS's own numbers
Cañoncito sits at the 93rd percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 739 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Cañoncito's burn probability — fire likelihood with no building count factored in — sits at the 87th percentile nationally.
Cañoncito's building exposure, zone by zone
USFS classifies 97.7% of Cañoncito's buildings as Direct exposure, higher than its 2.3% Indirect share and far above its 0% Minimal share — a profile where 722 structures sit close enough to vegetation that lot clearing matters most.
How Cañoncito compares
Cañoncito's risk sits at a similar level relative to New Mexico (80th percentile statewide) as it does nationally (93rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Cañoncito ranks 2,237 for wildfire risk (1 is highest) and 14,231 by building count (1 is largest). Within New Mexico alone, it ranks 97 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
Cañoncito and the insurance market
Cañoncito's very high rating (93rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Cañoncito (97.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Cañoncito's figures come from
Cañoncito's 93rd-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 Cañoncito's dominant direct exposure actually means, with real examples from across the dataset.