Prince's Lakes, IN
Prince's Lakes wildfire risk explained
USFS's Wildfire Risk to Communities model puts Prince's Lakes at the 32nd national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 831 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Prince's Lakes at the 33rd national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Prince's Lakes's buildings actually sit
93.9% of Prince's Lakes's 831 buildings sit in USFS's Direct exposure zone, roughly 780 structures close enough to burnable vegetation for flame contact, not just embers — 0.8% fall in the Indirect, ember-only zone and 5.3% are Minimal.
Where Prince's Lakes ranks
Within Indiana, Prince's Lakes ranks higher (94th percentile) than it does nationally (32nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Prince's Lakes ranks 21,549 for wildfire risk (1 is highest) and 13,334 by building count (1 is largest). Within Indiana alone, it ranks 61 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Prince's Lakes
At the 32nd national percentile, Prince's Lakes rates moderate 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
Because Direct exposure dominates in Prince's Lakes (93.9%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Prince's Lakes's figures come from
The methodology guide shows exactly how USFS turned 831 counted buildings into the percentiles shown above for Prince's Lakes. The exposure-zones guide covers what Prince's Lakes's dominant direct exposure actually means, with real examples from across the dataset.