Cordova, NM
How exposed is Cordova to wildfire?
USFS's Wildfire Risk to Communities model puts Cordova at the 96th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 345 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Cordova at the 92nd national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
Cordova's building exposure, zone by zone
345 buildings are counted in Cordova, and 89% 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.
Cordova against the rest of the country
There's little gap between Cordova's 96th national percentile and its 87th percentile inside New Mexico, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Cordova ranks 1,419 for wildfire risk (1 is highest) and 20,453 by building count (1 is largest). Within New Mexico alone, it ranks 67 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
Cordova and the insurance market
Cordova's 96th-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 Cordova
Cordova's 89% 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 Cordova's figures come from
The methodology guide shows exactly how USFS turned 345 counted buildings into the percentiles shown above for Cordova. The exposure-zones guide covers what Cordova's dominant direct exposure actually means, with real examples from across the dataset.