Angel Fire, NM
Angel Fire wildfire risk explained
Angel Fire sits at the 99th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 2,193 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Angel Fire's burn probability — fire likelihood with no building count factored in — sits at the 97th percentile nationally.
Angel Fire's building exposure, zone by zone
Of Angel Fire's 2,193 counted buildings, 97.9% 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 Angel Fire compares
There's little gap between Angel Fire's 99th national percentile and its 96th 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, Angel Fire ranks 384 for wildfire risk (1 is highest) and 6,949 by building count (1 is largest). Within New Mexico alone, it ranks 19 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 99th percentile nationally, Angel Fire carries the very 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.
Hardening a home in Angel Fire
Angel Fire's 97.9% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Angel Fire's figures come from
Angel Fire's 99th-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 Angel Fire's dominant direct exposure actually means, with real examples from across the dataset.