WildfireRiskFinder

Dublin, IN

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

Low
7thpercentile nationally

Out of every US place USFS scores, Dublin lands at the 7th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 577 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Dublin's burn probability — fire likelihood with no building count factored in — sits at the 6th percentile nationally.

Dublin's building exposure, zone by zone

577Total buildings
21.5%Direct exposure
0%Indirect exposure
78.5%Minimal exposure

Dublin rates 78.5% Minimal exposure against just 21.5% Direct and 0% Indirect — of 577 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How Dublin compares

Within Indiana, Dublin ranks higher (44th percentile) than it does nationally (7th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Dublin ranks 29,462 for wildfire risk (1 is highest) and 16,143 by building count (1 is largest). Within Indiana alone, it ranks 539 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Shopping for coverage in Dublin

Dublin's low rating (7th 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 Dublin

With 78.5% of buildings rated Minimal exposure, Dublin gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Dublin's figures come from

Every one of the two percentiles behind Dublin's 29,462-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dublin's dominant minimal exposure actually means, with real examples from across the dataset.