Manchester, IN
How exposed is Manchester to wildfire?
Out of every US place USFS scores, Manchester lands at the 26th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 318 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Manchester at the 27th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Direct exposure dominates in Manchester: 100% of its 318 buildings, versus 0% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Manchester ranks
Within Indiana, Manchester ranks higher (91st percentile) than it does nationally (26th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Manchester ranks 23,413 for wildfire risk (1 is highest) and 21,148 by building count (1 is largest). Within Indiana alone, it ranks 87 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 26th national percentile, Manchester rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Manchester
With 100% of Manchester in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Manchester's figures come from
The methodology guide shows exactly how USFS turned 318 counted buildings into the percentiles shown above for Manchester. The exposure-zones guide covers what Manchester's dominant direct exposure actually means, with real examples from across the dataset.