WildfireRiskFinder

Advance, IN

How exposed is Advance to wildfire?

Low
1stpercentile nationally

Advance's 301 buildings earn a 1st-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 Advance at the 1st national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

Advance's building exposure, zone by zone

301Total buildings
24.3%Direct exposure
0%Indirect exposure
75.8%Minimal exposure

Advance rates 75.8% Minimal exposure against just 24.3% Direct and 0% Indirect — of 301 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How Advance compares

There's little gap between Advance's 1st national percentile and its 7th percentile inside Indiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Advance ranks 31,233 for wildfire risk (1 is highest) and 21,596 by building count (1 is largest). Within Indiana alone, it ranks 896 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Shopping for coverage in Advance

At the 1st national percentile, Advance rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

With 75.8% of buildings rated Minimal exposure, Advance gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Advance's figures come from

Advance's 1st-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 Advance's dominant minimal exposure actually means, with real examples from across the dataset.