Alexandria, IN
Alexandria wildfire risk explained
Alexandria sits at the 4th 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 3,009 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Alexandria at the 4th percentile, close to its 4th-percentile risk score.
Alexandria's building exposure, zone by zone
USFS classifies 87.6% of Alexandria's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 12.4% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Alexandria ranks
Within Indiana, Alexandria ranks higher (30th percentile) than it does nationally (4th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Alexandria ranks 30,249 for wildfire risk (1 is highest) and 5,424 by building count (1 is largest). Within Indiana alone, it ranks 679 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Alexandria and the insurance market
Alexandria's low wildfire rating (4th 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.
What would actually reduce this score
Even with 87.6% of Alexandria 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 Alexandria's figures come from
The methodology guide shows exactly how USFS turned 3,009 counted buildings into the percentiles shown above for Alexandria. The exposure-zones guide covers what Alexandria's dominant minimal exposure actually means, with real examples from across the dataset.