Chamberino, NM
Chamberino, NM's wildfire risk, in USFS's own numbers
Chamberino's 442 buildings earn a 45th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Chamberino at the 46th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Indirect exposure is dominant in Chamberino (53.6% of 442 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 46.4% sit in the Direct zone.
How Chamberino compares
Inside New Mexico, Chamberino sits at just the 11th percentile even though it scores 45th 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, Chamberino ranks 17,488 for wildfire risk (1 is highest) and 18,420 by building count (1 is largest). Within New Mexico alone, it ranks 440 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 45th national percentile, Chamberino 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
Chamberino's 53.6% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Chamberino's figures come from
Chamberino's 45th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Chamberino's dominant indirect exposure actually means, with real examples from across the dataset.