Rawlings, MD
Rawlings wildfire risk explained
Out of every US place USFS scores, Rawlings lands at the 62nd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 371 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Rawlings at the 60th percentile, close to its 62nd-percentile risk score.
What "at risk" means for the buildings here
371 buildings are counted in Rawlings, and 56.9% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Rawlings against the rest of the country
Within Maryland, Rawlings ranks higher (88th percentile) than it does nationally (62nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Rawlings ranks 12,134 for wildfire risk (1 is highest) and 19,837 by building count (1 is largest). Within Maryland alone, it ranks 65 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Shopping for coverage in Rawlings
Rawlings's 62nd-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Rawlings
Rawlings's 56.9% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Rawlings's figures come from
Rawlings's 62nd-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 Rawlings's dominant direct exposure actually means, with real examples from across the dataset.