Hadar, NE
Hadar, NE's wildfire risk, in USFS's own numbers
Hadar sits at the 62nd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 188 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hadar at the 52nd percentile, close to its 62nd-percentile risk score.
Hadar's building exposure, zone by zone
Most of Hadar's buildings (77.1% of 188) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Hadar against the rest of the country
There's little gap between Hadar's 62nd national percentile and its 54th percentile inside Nebraska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Hadar ranks 12,044 for wildfire risk (1 is highest) and 25,321 by building count (1 is largest). Within Nebraska alone, it ranks 268 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
What this risk score means for insurance
At the 62nd percentile nationally, Hadar carries the 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 Hadar
Hadar's 77.1% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Hadar's figures come from
Every one of the two percentiles behind Hadar's 12,044-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hadar's dominant minimal exposure actually means, with real examples from across the dataset.