Endicott, NE
Endicott, NE's wildfire risk, in USFS's own numbers
Endicott sits at the 90th 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 144 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Endicott's burn probability — fire likelihood with no building count factored in — sits at the 86th percentile nationally.
Where Endicott's buildings actually sit
Direct exposure dominates in Endicott: 57.6% of its 144 buildings, versus 42.4% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Endicott ranks
There's little gap between Endicott's 90th national percentile and its 98th percentile inside Nebraska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Endicott ranks 3,089 for wildfire risk (1 is highest) and 27,125 by building count (1 is largest). Within Nebraska alone, it ranks 13 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Endicott and the insurance market
Endicott's very high rating (90th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
With 57.6% of Endicott 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 Endicott's figures come from
The methodology guide shows exactly how USFS turned 144 counted buildings into the percentiles shown above for Endicott. The exposure-zones guide covers what Endicott's dominant direct exposure actually means, with real examples from across the dataset.