WildfireRiskFinder

Albany, IN

Albany, IN's wildfire risk, in USFS's own numbers

Low
4thpercentile nationally

Out of every US place USFS scores, Albany lands at the 4th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 1,305 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Albany's burn probability — fire likelihood with no building count factored in — sits at the 4th percentile nationally.

Where Albany's buildings actually sit

1,305Total buildings
20.4%Direct exposure
0%Indirect exposure
79.6%Minimal exposure

Most of Albany's buildings (79.6% of 1,305) 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.

Albany against the rest of the country

Within Indiana, Albany ranks higher (27th percentile) than it does nationally (4th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Albany ranks 30,345 for wildfire risk (1 is highest) and 10,055 by building count (1 is largest). Within Indiana alone, it ranks 702 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Albany and the insurance market

Albany's low rating (4th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Albany's 79.6% 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 Albany's figures come from

Albany's 4th-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 Albany's dominant minimal exposure actually means, with real examples from across the dataset.