WildfireRiskFinder

London, OH

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

Low
3rdpercentile nationally

USFS's Wildfire Risk to Communities model puts London at the 3rd national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 4,490 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks London at the 3rd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

London's building exposure, zone by zone

4,490Total buildings
7.7%Direct exposure
0%Indirect exposure
92.3%Minimal exposure

London rates 92.3% Minimal exposure against just 7.7% Direct and 0% Indirect — of 4,490 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How London compares

There's little gap between London's 3rd national percentile and its 15th percentile inside Ohio, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, London ranks 30,747 for wildfire risk (1 is highest) and 3,803 by building count (1 is largest). Within Ohio alone, it ranks 1,068 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

What this risk score means for insurance

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

What would actually reduce this score

London's 92.3% 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 London's figures come from

Every one of the two percentiles behind London's 30,747-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what London's dominant minimal exposure actually means, with real examples from across the dataset.