Barneston, NE
Barneston wildfire risk explained
USFS's Wildfire Risk to Communities model puts Barneston at the 67th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 118 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Barneston at the 61st national percentile — 5 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Barneston's buildings actually sit
61% of Barneston's 118 buildings sit in USFS's Minimal exposure zone, with only 39% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Barneston ranks
There's little gap between Barneston's 67th national percentile and its 62nd percentile inside Nebraska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Barneston ranks 10,534 for wildfire risk (1 is highest) and 28,260 by building count (1 is largest). Within Nebraska alone, it ranks 222 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 67th percentile nationally, Barneston 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.
Lowering exposure, not just insuring around it
With 61% of buildings rated Minimal exposure, Barneston gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Barneston's figures come from
Barneston's 67th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Barneston's dominant minimal exposure actually means, with real examples from across the dataset.