Crumpton, MD
How exposed is Crumpton to wildfire?
USFS scores Crumpton at the 31st national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 306 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Crumpton at the 30th percentile, close to its 31st-percentile risk score.
Crumpton's building exposure, zone by zone
Of Crumpton's 306 counted buildings, 59.8% carry Direct exposure and only 8.5% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Crumpton compares
Crumpton's 47th-percentile standing inside Maryland outpaces its 31st 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, Crumpton ranks 21,900 for wildfire risk (1 is highest) and 21,472 by building count (1 is largest). Within Maryland alone, it ranks 279 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Shopping for coverage in Crumpton
Crumpton's moderate rating (31st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Crumpton's 59.8% 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 Crumpton's figures come from
Every one of the two percentiles behind Crumpton's 21,900-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Crumpton's dominant direct exposure actually means, with real examples from across the dataset.