Deming, NM
Deming, NM's wildfire risk, in USFS's own numbers
Deming's 7,422 buildings earn a 56th-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.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Deming at the 55th percentile, close to its 56th-percentile risk score.
Where Deming's buildings actually sit
Deming rates 67.6% Minimal exposure against just 11.7% Direct and 20.7% Indirect — of 7,422 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually. At 7,422 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Deming compares
Inside New Mexico, Deming sits at just the 24th percentile even though it scores 56th 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, Deming ranks 13,935 for wildfire risk (1 is highest) and 2,299 by building count (1 is largest). Within New Mexico alone, it ranks 379 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 56th national percentile, Deming 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 Deming
With 67.6% of buildings rated Minimal exposure, Deming gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Deming's figures come from
The methodology guide shows exactly how USFS turned 7,422 counted buildings into the percentiles shown above for Deming. The exposure-zones guide covers what Deming's dominant minimal exposure actually means, with real examples from across the dataset.