WildfireRiskFinder

Oasis, NM

How exposed is Oasis to wildfire?

High
61stpercentile nationally

Oasis's 204 buildings earn a 61st-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.)

Separately from the risk score above, Oasis's burn probability — fire likelihood with no building count factored in — sits at the 59th percentile nationally.

Where Oasis's buildings actually sit

204Total buildings
53.4%Direct exposure
46.6%Indirect exposure
0%Minimal exposure

Of Oasis's 204 counted buildings, 53.4% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

How Oasis compares

Oasis's 61st national percentile looks worse in isolation than its 32nd ranking inside New Mexico does — this place is on the milder end for its own state, by 30 points. Among the 31,521 US communities USFS scores, Oasis ranks 12,269 for wildfire risk (1 is highest) and 24,702 by building count (1 is largest). Within New Mexico alone, it ranks 339 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 61st percentile nationally, Oasis carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.

What would actually reduce this score

With 53.4% of Oasis 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 Oasis's figures come from

The methodology guide shows exactly how USFS turned 204 counted buildings into the percentiles shown above for Oasis. The exposure-zones guide covers what Oasis's dominant direct exposure actually means, with real examples from across the dataset.