Horse Pasture, VA
Horse Pasture wildfire risk explained
Horse Pasture's 1,609 buildings earn a 38th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Horse Pasture's burn probability — fire likelihood with no building count factored in — sits at the 40th percentile nationally.
Where Horse Pasture's buildings actually sit
90.8% of Horse Pasture's 1,609 buildings sit in USFS's Direct exposure zone, roughly 1,461 structures close enough to burnable vegetation for flame contact, not just embers — 9.2% fall in the Indirect, ember-only zone and 0% are Minimal.
How Horse Pasture compares
Horse Pasture scores 38th nationally and 29th within Virginia — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Horse Pasture ranks 19,555 for wildfire risk (1 is highest) and 8,736 by building count (1 is largest). Within Virginia alone, it ranks 483 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Shopping for coverage in Horse Pasture
Horse Pasture's moderate wildfire rating (38th 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.
Lowering exposure, not just insuring around it
With 90.8% of Horse Pasture 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 Horse Pasture's figures come from
Every one of the two percentiles behind Horse Pasture's 19,555-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Horse Pasture's dominant direct exposure actually means, with real examples from across the dataset.