Nesco, NJ
How exposed is Nesco to wildfire?
Nesco's 332 buildings earn a 90th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Nesco's burn probability — fire likelihood with no building count factored in — sits at the 89th percentile nationally.
Nesco's building exposure, zone by zone
100% of Nesco's 332 buildings sit in USFS's Direct exposure zone, roughly 332 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Nesco ranks
Nesco's risk sits at a similar level relative to New Jersey (95th percentile statewide) as it does nationally (90th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Nesco ranks 3,090 for wildfire risk (1 is highest) and 20,763 by building count (1 is largest). Within New Jersey alone, it ranks 33 of 700 places by risk. See the full county-by-county picture for New Jersey on its state page.
Nesco and the insurance market
Nesco's 90th-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.
What would actually reduce this score
With 100% of Nesco 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 Nesco's figures come from
Every one of the two percentiles behind Nesco's 3,090-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Nesco's dominant direct exposure actually means, with real examples from across the dataset.