Cedarville, MD
Cedarville, MD's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Cedarville lands at the 46th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 718 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Cedarville at the 45th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Cedarville's buildings actually sit
Direct exposure dominates in Cedarville: 80.6% of its 718 buildings, versus 19.4% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Cedarville compares
Within Maryland, Cedarville ranks higher (65th percentile) than it does nationally (46th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Cedarville ranks 17,140 for wildfire risk (1 is highest) and 14,479 by building count (1 is largest). Within Maryland alone, it ranks 186 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
What this risk score means for insurance
At the 46th national percentile, Cedarville rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Cedarville (80.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Cedarville's figures come from
Cedarville's 46th-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 Cedarville's dominant direct exposure actually means, with real examples from across the dataset.