Ragsdale, IN
Ragsdale, IN's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Ragsdale lands at the 6th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 124 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Ragsdale at the 6th percentile, close to its 6th-percentile risk score.
Ragsdale's building exposure, zone by zone
USFS classifies 68.6% of Ragsdale's buildings as Direct exposure, higher than its 0% Indirect share and far above its 31.5% Minimal share — a profile where 85 structures sit close enough to vegetation that lot clearing matters most.
Ragsdale against the rest of the country
Compare Ragsdale's two percentiles: 41st within Indiana, only 6th nationally — a gap of 35 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Ragsdale ranks 29,655 for wildfire risk (1 is highest) and 27,980 by building count (1 is largest). Within Indiana alone, it ranks 576 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Ragsdale
Ragsdale's low wildfire rating (6th 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
Ragsdale's 68.6% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Ragsdale's figures come from
Every one of the two percentiles behind Ragsdale's 29,655-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ragsdale's dominant direct exposure actually means, with real examples from across the dataset.