Silver Hill, MD
How exposed is Silver Hill to wildfire?
USFS scores Silver Hill at the 25th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 1,141 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Silver Hill at the 25th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Silver Hill's building exposure, zone by zone
Only 18.2% of Silver Hill's 1,141 buildings carry Direct exposure and 0% carry Indirect; the remaining 81.8% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Silver Hill against the rest of the country
There's little gap between Silver Hill's 25th national percentile and its 35th percentile inside Maryland, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Silver Hill ranks 23,636 for wildfire risk (1 is highest) and 11,007 by building count (1 is largest). Within Maryland alone, it ranks 342 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Silver Hill and the insurance market
Silver Hill's moderate rating (25th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With 81.8% of buildings rated Minimal exposure, Silver Hill gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Silver Hill's figures come from
The methodology guide shows exactly how USFS turned 1,141 counted buildings into the percentiles shown above for Silver Hill. The exposure-zones guide covers what Silver Hill's dominant minimal exposure actually means, with real examples from across the dataset.