Fairview Park, IN
Fairview Park, IN's wildfire risk, in USFS's own numbers
Fairview Park sits at the 14th 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 1,016 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 Fairview Park at the 15th percentile, close to its 14th-percentile risk score.
What "at risk" means for the buildings here
Most of Fairview Park's buildings (62.5% of 1,016) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Fairview Park ranks
Compare Fairview Park's two percentiles: 67th within Indiana, only 14th nationally — a gap of 52 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Fairview Park ranks 27,002 for wildfire risk (1 is highest) and 11,827 by building count (1 is largest). Within Indiana alone, it ranks 322 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
Fairview Park's low wildfire rating (14th 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
Fairview Park's 62.5% 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 Fairview Park's figures come from
Fairview Park's 14th-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 Fairview Park's dominant minimal exposure actually means, with real examples from across the dataset.