WildfireRiskFinder

Orland, IN

Orland wildfire risk explained

Low
8thpercentile nationally

Orland sits at the 8th 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 345 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Orland at the 8th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

Orland's building exposure, zone by zone

345Total buildings
14.2%Direct exposure
0.3%Indirect exposure
85.5%Minimal exposure

Orland rates 85.5% Minimal exposure against just 14.2% Direct and 0.3% Indirect — of 345 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Orland against the rest of the country

Within Indiana, Orland ranks higher (50th percentile) than it does nationally (8th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Orland ranks 28,899 for wildfire risk (1 is highest) and 20,447 by building count (1 is largest). Within Indiana alone, it ranks 482 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Orland and the insurance market

Orland's low rating (8th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Orland

Orland's 85.5% 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 Orland's figures come from

Orland's 8th-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 Orland's dominant minimal exposure actually means, with real examples from across the dataset.