WildfireRiskFinder

Luis Lopez, NM

Luis Lopez wildfire risk explained

High
74thpercentile nationally

Luis Lopez's 85 buildings earn a 74th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Luis Lopez at the 71st national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.

Luis Lopez's building exposure, zone by zone

85Total buildings
100%Direct exposure
0%Indirect exposure
0%Minimal exposure

85 buildings are counted in Luis Lopez, 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.

Luis Lopez against the rest of the country

Inside New Mexico, Luis Lopez sits at just the 45th percentile even though it scores 74th 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, Luis Lopez ranks 8,295 for wildfire risk (1 is highest) and 29,699 by building count (1 is largest). Within New Mexico alone, it ranks 275 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.

Luis Lopez and the insurance market

Luis Lopez's high rating (74th 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.

Hardening a home in Luis Lopez

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

Where Luis Lopez's figures come from

The methodology guide shows exactly how USFS turned 85 counted buildings into the percentiles shown above for Luis Lopez. The exposure-zones guide covers what Luis Lopez's dominant direct exposure actually means, with real examples from across the dataset.