Morningside, MD
Morningside wildfire risk explained
Morningside sits at the 21st percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 565 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Morningside's burn probability — fire likelihood with no building count factored in — sits at the 21st percentile nationally.
What "at risk" means for the buildings here
Only 26.2% of Morningside's 565 buildings carry Direct exposure and 0% carry Indirect; the remaining 73.8% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Morningside compares
Morningside scores 21st nationally and 27th within Maryland — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Morningside ranks 24,962 for wildfire risk (1 is highest) and 16,324 by building count (1 is largest). Within Maryland alone, it ranks 384 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 21st national percentile, Morningside rates moderate 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
Morningside's 73.8% 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 Morningside's figures come from
Morningside's 21st-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 Morningside's dominant minimal exposure actually means, with real examples from across the dataset.