Doña Ana, NM
Doña Ana wildfire risk explained
Out of every US place USFS scores, Doña Ana lands at the 44th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 523 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Doña Ana at the 43rd percentile, close to its 44th-percentile risk score.
What "at risk" means for the buildings here
Indirect exposure is dominant in Doña Ana (93.1% of 523 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 6.9% sit in the Direct zone.
Doña Ana against the rest of the country
Doña Ana ranks lower within New Mexico (11th percentile statewide) than its 44th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Doña Ana ranks 17,592 for wildfire risk (1 is highest) and 16,986 by building count (1 is largest). Within New Mexico alone, it ranks 442 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
What this risk score means for insurance
At the 44th national percentile, Doña Ana rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Doña Ana
Because 93.1% of Doña Ana'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 Doña Ana's figures come from
Every one of the two percentiles behind Doña Ana's 17,592-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Doña Ana's dominant indirect exposure actually means, with real examples from across the dataset.