Hyde Park, NM
Hyde Park wildfire risk explained
USFS's Wildfire Risk to Communities model puts Hyde Park at the 95th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 244 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hyde Park at the 91st percentile, close to its 95th-percentile risk score.
Where Hyde Park's buildings actually sit
244 buildings are counted in Hyde Park, and 98.8% 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.
Hyde Park against the rest of the country
Hyde Park scores 95th nationally and 86th within New Mexico — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Hyde Park ranks 1,487 for wildfire risk (1 is highest) and 23,339 by building count (1 is largest). Within New Mexico alone, it ranks 71 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 95th percentile nationally, Hyde Park 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.
Lowering exposure, not just insuring around it
With 98.8% of Hyde Park 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 Hyde Park's figures come from
The methodology guide shows exactly how USFS turned 244 counted buildings into the percentiles shown above for Hyde Park. The exposure-zones guide covers what Hyde Park's dominant direct exposure actually means, with real examples from across the dataset.