Bennet, NE
How exposed is Bennet to wildfire?
USFS scores Bennet at the 76th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 553 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Bennet at the 70th percentile, close to its 76th-percentile risk score.
Bennet's building exposure, zone by zone
Most of Bennet's buildings (71.3% of 553) 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.
Where Bennet ranks
There's little gap between Bennet's 76th national percentile and its 80th percentile inside Nebraska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Bennet ranks 7,441 for wildfire risk (1 is highest) and 16,526 by building count (1 is largest). Within Nebraska alone, it ranks 117 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Shopping for coverage in Bennet
Bennet's 76th-percentile, 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 71.3% of buildings rated Minimal exposure, Bennet gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Bennet's figures come from
Every one of the two percentiles behind Bennet's 7,441-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Bennet's dominant minimal exposure actually means, with real examples from across the dataset.