Isleta, NM
Isleta, NM's wildfire risk, in USFS's own numbers
Isleta sits at the 67th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 485 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Isleta at the 67th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Isleta's buildings actually sit
USFS puts 62.9% of Isleta's 485 buildings in the Indirect exposure zone, versus 37.1% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Isleta ranks
Inside New Mexico, Isleta sits at just the 38th percentile even though it scores 67th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Isleta ranks 10,284 for wildfire risk (1 is highest) and 17,616 by building count (1 is largest). Within New Mexico alone, it ranks 306 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
Isleta and the insurance market
Isleta's high rating (67th 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 62.9% of Isleta's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Isleta's figures come from
Every one of the two percentiles behind Isleta's 10,284-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Isleta's dominant indirect exposure actually means, with real examples from across the dataset.