Star City, IN
How exposed is Star City to wildfire?
Out of every US place USFS scores, Star City lands at the 1st percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 284 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 Star City at the 1st percentile, close to its 1st-percentile risk score.
What "at risk" means for the buildings here
Star City rates 84.5% Minimal exposure against just 15.5% Direct and 0% Indirect — of 284 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Star City ranks
There's little gap between Star City's 1st national percentile and its 4th percentile inside Indiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Star City ranks 31,334 for wildfire risk (1 is highest) and 22,056 by building count (1 is largest). Within Indiana alone, it ranks 932 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
At the 1st national percentile, Star City rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Even with 84.5% of Star City 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 Star City's figures come from
Star City's 1st-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 Star City's dominant minimal exposure actually means, with real examples from across the dataset.