Flintstone, MD
Flintstone wildfire risk explained
USFS scores Flintstone at the 56th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 131 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Flintstone's burn probability — fire likelihood with no building count factored in — sits at the 55th percentile nationally.
What "at risk" means for the buildings here
USFS classifies 81.7% of Flintstone's buildings as Direct exposure, higher than its 18.3% Indirect share and far above its 0% Minimal share — a profile where 107 structures sit close enough to vegetation that lot clearing matters most.
How Flintstone compares
Compare Flintstone's two percentiles: 78th within Maryland, only 56th nationally — a gap of 23 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Flintstone ranks 14,025 for wildfire risk (1 is highest) and 27,667 by building count (1 is largest). Within Maryland alone, it ranks 114 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Flintstone and the insurance market
Flintstone's elevated wildfire rating (56th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
With 81.7% of Flintstone in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Flintstone's figures come from
The methodology guide shows exactly how USFS turned 131 counted buildings into the percentiles shown above for Flintstone. The exposure-zones guide covers what Flintstone's dominant direct exposure actually means, with real examples from across the dataset.