Ravensworth, VA
Ravensworth, VA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Ravensworth lands at the 18th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 951 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 Ravensworth at the 19th percentile, close to its 18th-percentile risk score.
What "at risk" means for the buildings here
Most of Ravensworth's buildings (69.3% of 951) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Ravensworth compares
There's little gap between Ravensworth's 18th national percentile and its 9th percentile inside Virginia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Ravensworth ranks 25,894 for wildfire risk (1 is highest) and 12,305 by building count (1 is largest). Within Virginia alone, it ranks 624 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
What this risk score means for insurance
Ravensworth's low rating (18th 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 Ravensworth
Even with 69.3% of Ravensworth 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 Ravensworth's figures come from
Ravensworth's 18th-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 Ravensworth's dominant minimal exposure actually means, with real examples from across the dataset.