Bloomingdale, IN
Bloomingdale, IN's wildfire risk, in USFS's own numbers
Bloomingdale's 251 buildings earn a 9th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Bloomingdale at the 8th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS classifies 52.6% of Bloomingdale's buildings as Direct exposure, higher than its 0% Indirect share and far above its 47.4% Minimal share — a profile where 132 structures sit close enough to vegetation that lot clearing matters most.
Bloomingdale against the rest of the country
Bloomingdale's 51st-percentile standing inside Indiana outpaces its 9th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Bloomingdale ranks 28,835 for wildfire risk (1 is highest) and 23,100 by building count (1 is largest). Within Indiana alone, it ranks 472 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
What this risk score means for insurance
Bloomingdale's low rating (9th 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
With 52.6% of Bloomingdale 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 Bloomingdale's figures come from
The methodology guide shows exactly how USFS turned 251 counted buildings into the percentiles shown above for Bloomingdale. The exposure-zones guide covers what Bloomingdale's dominant direct exposure actually means, with real examples from across the dataset.