Walkersville, MD
Walkersville, MD's wildfire risk, in USFS's own numbers
Walkersville sits at the 7th 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 2,031 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Walkersville at the 7th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
40.5% of Walkersville's 2,031 buildings sit in USFS's Minimal exposure zone, with only 25.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Walkersville ranks
Walkersville's risk sits at a similar level relative to Maryland (1st percentile statewide) as it does nationally (7th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Walkersville ranks 29,283 for wildfire risk (1 is highest) and 7,383 by building count (1 is largest). Within Maryland alone, it ranks 522 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Walkersville and the insurance market
At the 7th national percentile, Walkersville 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 40.5% of buildings rated Minimal exposure, Walkersville gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Walkersville's figures come from
The methodology guide shows exactly how USFS turned 2,031 counted buildings into the percentiles shown above for Walkersville. The exposure-zones guide covers what Walkersville's dominant minimal exposure actually means, with real examples from across the dataset.