Crouch Mesa, NM
Crouch Mesa wildfire risk explained
USFS's Wildfire Risk to Communities model puts Crouch Mesa at the 49th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 2,380 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Crouch Mesa's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.
Where Crouch Mesa's buildings actually sit
Direct exposure dominates in Crouch Mesa: 86.8% of its 2,380 buildings, versus 11.8% Indirect and 1.5% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Crouch Mesa compares
Crouch Mesa's 49th national percentile looks worse in isolation than its 14th ranking inside New Mexico does — this place is on the milder end for its own state, by 34 points. Among the 31,521 US communities USFS scores, Crouch Mesa ranks 16,141 for wildfire risk (1 is highest) and 6,550 by building count (1 is largest). Within New Mexico alone, it ranks 424 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
Crouch Mesa and the insurance market
At the 49th national percentile, Crouch Mesa rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With 86.8% of Crouch Mesa in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Crouch Mesa's figures come from
Crouch Mesa's 49th-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 Crouch Mesa's dominant direct exposure actually means, with real examples from across the dataset.