Barada, NE
How exposed is Barada to wildfire?
Barada sits at the 61st 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 40 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 Barada at the 61st percentile, close to its 61st-percentile risk score.
What "at risk" means for the buildings here
Only 32.5% of Barada's 40 buildings carry Direct exposure and 15% carry Indirect; the remaining 52.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Barada compares
Barada's risk sits at a similar level relative to Nebraska (52nd percentile statewide) as it does nationally (61st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Barada ranks 12,358 for wildfire risk (1 is highest) and 31,175 by building count (1 is largest). Within Nebraska alone, it ranks 279 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Barada and the insurance market
Barada's high rating (61st 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.
Hardening a home in Barada
Even with 52.5% of Barada outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Barada's figures come from
Every one of the two percentiles behind Barada's 12,358-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Barada's dominant minimal exposure actually means, with real examples from across the dataset.