Canova, NM
Canova, NM's wildfire risk, in USFS's own numbers
USFS scores Canova at the 85th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 85 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Canova at the 79th national percentile — 6 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
USFS classifies 100% of Canova's buildings as Direct exposure, higher than its 0% Indirect share and far above its 0% Minimal share — a profile where 85 structures sit close enough to vegetation that lot clearing matters most.
How Canova compares
Canova's 85th national percentile looks worse in isolation than its 63rd ranking inside New Mexico does — this place is on the milder end for its own state, by 22 points. Among the 31,521 US communities USFS scores, Canova ranks 4,730 for wildfire risk (1 is highest) and 29,698 by building count (1 is largest). Within New Mexico alone, it ranks 184 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
Canova and the insurance market
Canova's 85th-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.
Hardening a home in Canova
Canova's 100% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Canova's figures come from
Canova's 85th-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 Canova's dominant direct exposure actually means, with real examples from across the dataset.