WildfireRiskFinder

Bent, NM

How exposed is Bent to wildfire?

Very High
97thpercentile nationally

USFS scores Bent at the 97th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 165 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Bent at the 95th percentile, close to its 97th-percentile risk score.

Where Bent's buildings actually sit

165Total buildings
100%Direct exposure
0%Indirect exposure
0%Minimal exposure

165 buildings are counted in Bent, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.

How Bent compares

There's little gap between Bent's 97th national percentile and its 89th percentile inside New Mexico, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Bent ranks 1,075 for wildfire risk (1 is highest) and 26,226 by building count (1 is largest). Within New Mexico alone, it ranks 55 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.

Shopping for coverage in Bent

Bent's very high rating (97th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

What would actually reduce this score

Because Direct exposure dominates in Bent (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Bent's figures come from

Bent's 97th-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 Bent's dominant direct exposure actually means, with real examples from across the dataset.