WildfireRiskFinder

Hodge, LA

Hodge wildfire risk explained

Elevated
53rdpercentile nationally

USFS scores Hodge at the 53rd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 402 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Hodge's burn probability — fire likelihood with no building count factored in — sits at the 53rd percentile nationally.

Hodge's building exposure, zone by zone

402Total buildings
14.4%Direct exposure
85.6%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Hodge (85.6% of 402 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 14.4% sit in the Direct zone.

Hodge against the rest of the country

There's little gap between Hodge's 53rd national percentile and its 63rd percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Hodge ranks 14,904 for wildfire risk (1 is highest) and 19,168 by building count (1 is largest). Within Louisiana alone, it ranks 183 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.

Hodge and the insurance market

At the 53rd national percentile, Hodge rates elevated 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

Because 85.6% of Hodge's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Hodge's figures come from

The methodology guide shows exactly how USFS turned 402 counted buildings into the percentiles shown above for Hodge. The exposure-zones guide covers what Hodge's dominant indirect exposure actually means, with real examples from across the dataset.