Zuni Pueblo, NM
Zuni Pueblo, NM's wildfire risk, in USFS's own numbers
Zuni Pueblo sits at the 50th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 1,998 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Zuni Pueblo at the 50th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Zuni Pueblo's buildings actually sit
Direct exposure dominates in Zuni Pueblo: 75.1% of its 1,998 buildings, versus 24.9% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Zuni Pueblo ranks
Zuni Pueblo ranks lower within New Mexico (17th percentile statewide) than its 50th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Zuni Pueblo ranks 15,667 for wildfire risk (1 is highest) and 7,485 by building count (1 is largest). Within New Mexico alone, it ranks 413 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
Shopping for coverage in Zuni Pueblo
Zuni Pueblo's elevated wildfire rating (50th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Zuni Pueblo
Because Direct exposure dominates in Zuni Pueblo (75.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Zuni Pueblo's figures come from
The methodology guide shows exactly how USFS turned 1,998 counted buildings into the percentiles shown above for Zuni Pueblo. The exposure-zones guide covers what Zuni Pueblo's dominant direct exposure actually means, with real examples from across the dataset.