Rivers, NM
How exposed is Rivers to wildfire?
Rivers 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 48 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rivers's burn probability — fire likelihood with no building count factored in — sits at the 99th percentile nationally.
Rivers's building exposure, zone by zone
100% of Rivers's 48 buildings sit in USFS's Direct exposure zone, roughly 48 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 0% are Minimal.
How Rivers compares
Rivers's risk sits at a similar level relative to New Mexico (97th percentile statewide) as it does nationally (99th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Rivers ranks 293 for wildfire risk (1 is highest) and 30,981 by building count (1 is largest). Within New Mexico alone, it ranks 16 of 495 places by risk. See the full county-by-county picture for New Mexico on its state page.
Shopping for coverage in Rivers
Rivers's 99th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Rivers (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Rivers's figures come from
Every one of the two percentiles behind Rivers's 293-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Rivers's dominant direct exposure actually means, with real examples from across the dataset.