Plumwood, OH
Plumwood, OH's wildfire risk, in USFS's own numbers
Plumwood sits at the 5th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 194 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 Plumwood at the 5th percentile, close to its 5th-percentile risk score.
Where Plumwood's buildings actually sit
59.8% of Plumwood's 194 buildings sit in USFS's Minimal exposure zone, with only 40.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Plumwood against the rest of the country
Plumwood's 24th-percentile standing inside Ohio outpaces its 5th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Plumwood ranks 30,019 for wildfire risk (1 is highest) and 25,095 by building count (1 is largest). Within Ohio alone, it ranks 962 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 5th national percentile, Plumwood 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
With 59.8% of buildings rated Minimal exposure, Plumwood gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Plumwood's figures come from
Plumwood's 5th-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 Plumwood's dominant minimal exposure actually means, with real examples from across the dataset.