Carroll, NE
Carroll, NE's wildfire risk, in USFS's own numbers
Carroll sits at the 36th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 202 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 Carroll at the 26th percentile, lower than its 36th-percentile risk score, because so much is actually built here.
What "at risk" means for the buildings here
Only 11.9% of Carroll's 202 buildings carry Direct exposure and 0% carry Indirect; the remaining 88.1% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Carroll ranks
Inside Nebraska, Carroll sits at just the 20th percentile even though it scores 36th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Carroll ranks 20,231 for wildfire risk (1 is highest) and 24,772 by building count (1 is largest). Within Nebraska alone, it ranks 466 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
Carroll's moderate rating (36th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Even with 88.1% of Carroll 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 Carroll's figures come from
The methodology guide shows exactly how USFS turned 202 counted buildings into the percentiles shown above for Carroll. The exposure-zones guide covers what Carroll's dominant minimal exposure actually means, with real examples from across the dataset.