Williamsburg, IN
Williamsburg wildfire risk explained
Williamsburg sits at the 5th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 203 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Williamsburg's burn probability — fire likelihood with no building count factored in — sits at the 5th percentile nationally.
Williamsburg's building exposure, zone by zone
USFS classifies 83.3% of Williamsburg's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 16.8% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Williamsburg against the rest of the country
Within Indiana, Williamsburg ranks higher (37th percentile) than it does nationally (5th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Williamsburg ranks 29,847 for wildfire risk (1 is highest) and 24,728 by building count (1 is largest). Within Indiana alone, it ranks 609 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Williamsburg
At the 5th national percentile, Williamsburg rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Williamsburg's 83.3% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Williamsburg's figures come from
Williamsburg's 5th-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 Williamsburg's dominant minimal exposure actually means, with real examples from across the dataset.