Temple Hills, MD
Temple Hills wildfire risk explained
Out of every US place USFS scores, Temple Hills lands at the 29th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 1,439 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Temple Hills's burn probability — fire likelihood with no building count factored in — sits at the 29th percentile nationally.
Where Temple Hills's buildings actually sit
Only 27.9% of Temple Hills's 1,439 buildings carry Direct exposure and 0% carry Indirect; the remaining 72.1% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Temple Hills ranks
Within Maryland, Temple Hills ranks higher (45th percentile) than it does nationally (29th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Temple Hills ranks 22,249 for wildfire risk (1 is highest) and 9,435 by building count (1 is largest). Within Maryland alone, it ranks 289 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Shopping for coverage in Temple Hills
Temple Hills's moderate rating (29th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Temple Hills
Even with 72.1% of Temple Hills outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Temple Hills's figures come from
Every one of the two percentiles behind Temple Hills's 22,249-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Temple Hills's dominant minimal exposure actually means, with real examples from across the dataset.