WildfireRiskFinder

Hollansburg, OH

How exposed is Hollansburg to wildfire?

Low
3rdpercentile nationally

USFS's Wildfire Risk to Communities model puts Hollansburg at the 3rd national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 180 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Hollansburg's burn probability — fire likelihood with no building count factored in — sits at the 3rd percentile nationally.

What "at risk" means for the buildings here

180Total buildings
20%Direct exposure
0%Indirect exposure
80%Minimal exposure

USFS classifies 80% of Hollansburg's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 20% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

How Hollansburg compares

Hollansburg scores 3rd nationally and 16th within Ohio — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Hollansburg ranks 30,713 for wildfire risk (1 is highest) and 25,644 by building count (1 is largest). Within Ohio alone, it ranks 1,063 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Hollansburg and the insurance market

At the 3rd national percentile, Hollansburg rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Hollansburg

Hollansburg's 80% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Hollansburg's figures come from

Hollansburg's 3rd-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 Hollansburg's dominant minimal exposure actually means, with real examples from across the dataset.