Adelino, NM
Adelino wildfire risk explained
USFS scores Adelino at the 59th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 549 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Adelino at the 57th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Adelino's buildings actually sit
Of Adelino's 549 counted buildings, 80.5% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Adelino ranks
Adelino's 59th national percentile looks worse in isolation than its 28th ranking inside New Mexico does — this place is on the milder end for its own state, by 30 points. Among the 31,521 US communities USFS scores, Adelino ranks 13,088 for wildfire risk (1 is highest) and 16,587 by building count (1 is largest). Within New Mexico alone, it ranks 355 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
Shopping for coverage in Adelino
At the 59th national percentile, Adelino rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 80.5% of Adelino in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Adelino's figures come from
Every one of the two percentiles behind Adelino's 13,088-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Adelino's dominant direct exposure actually means, with real examples from across the dataset.