WildfireRiskFinder

Sycamore, OH

Sycamore, OH's wildfire risk, in USFS's own numbers

Low
2ndpercentile nationally

USFS's Wildfire Risk to Communities model puts Sycamore at the 2nd national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 618 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Sycamore's burn probability — fire likelihood with no building count factored in — sits at the 2nd percentile nationally.

Where Sycamore's buildings actually sit

618Total buildings
10.2%Direct exposure
0%Indirect exposure
89.8%Minimal exposure

Sycamore rates 89.8% Minimal exposure against just 10.2% Direct and 0% Indirect — of 618 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Sycamore against the rest of the country

Sycamore's risk sits at a similar level relative to Ohio (14th percentile statewide) as it does nationally (2nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Sycamore ranks 30,838 for wildfire risk (1 is highest) and 15,593 by building count (1 is largest). Within Ohio alone, it ranks 1,085 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Sycamore and the insurance market

Sycamore's low rating (2nd 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

Sycamore's 89.8% 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 Sycamore's figures come from

Sycamore's 2nd-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 Sycamore's dominant minimal exposure actually means, with real examples from across the dataset.