WildfireRiskFinder

Hedrick, IN

Hedrick wildfire risk explained

Low
0thpercentile nationally

Hedrick's 44 buildings earn a 0th-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 Hedrick at the 0th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

Hedrick's building exposure, zone by zone

44Total buildings
43.2%Direct exposure
0%Indirect exposure
56.8%Minimal exposure

Most of Hedrick's buildings (56.8% of 44) 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 Hedrick ranks

Hedrick scores 0th nationally and 0th within Indiana — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Hedrick ranks 31,492 for wildfire risk (1 is highest) and 31,070 by building count (1 is largest). Within Indiana alone, it ranks 962 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Shopping for coverage in Hedrick

At the 0th national percentile, Hedrick rates low 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

Even with 56.8% of Hedrick 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 Hedrick's figures come from

Hedrick's 0th-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 Hedrick's dominant minimal exposure actually means, with real examples from across the dataset.