Windsor Heights, WV
Windsor Heights wildfire risk explained
USFS scores Windsor Heights at the 40th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 242 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Windsor Heights's burn probability — fire likelihood with no building count factored in — sits at the 41st percentile nationally.
Windsor Heights's building exposure, zone by zone
242 buildings are counted in Windsor Heights, and 75.2% of them are Indirect exposure — ember-driven risk rather than the 24.8% in Direct exposure or the 0% rated Minimal.
Windsor Heights against the rest of the country
Windsor Heights ranks lower within West Virginia (14th percentile statewide) than its 40th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Windsor Heights ranks 18,990 for wildfire risk (1 is highest) and 23,412 by building count (1 is largest). Within West Virginia alone, it ranks 372 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Windsor Heights and the insurance market
Windsor Heights's moderate rating (40th 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
Windsor Heights's 75.2% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Windsor Heights's figures come from
Windsor Heights's 40th-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 Windsor Heights's dominant indirect exposure actually means, with real examples from across the dataset.