WildfireRiskFinder

Haigler, NE

Haigler wildfire risk explained

High
77thpercentile nationally

Haigler's 226 buildings earn a 77th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Haigler's burn probability — fire likelihood with no building count factored in — sits at the 76th percentile nationally.

What "at risk" means for the buildings here

226Total buildings
18.6%Direct exposure
81.4%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Haigler (81.4% of 226 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 18.6% sit in the Direct zone.

Haigler against the rest of the country

Haigler's risk sits at a similar level relative to Nebraska (82nd percentile statewide) as it does nationally (77th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Haigler ranks 7,128 for wildfire risk (1 is highest) and 23,920 by building count (1 is largest). Within Nebraska alone, it ranks 106 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 77th percentile nationally, Haigler 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.

What would actually reduce this score

Haigler's 81.4% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.

Where Haigler's figures come from

Haigler's 77th-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 Haigler's dominant indirect exposure actually means, with real examples from across the dataset.