WildfireRiskFinder

Minorca, LA

Minorca wildfire risk explained

Low
19thpercentile nationally

Minorca's 1,324 buildings earn a 19th-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 Minorca at the 19th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.

Minorca's building exposure, zone by zone

1,324Total buildings
55.4%Direct exposure
30.4%Indirect exposure
14.2%Minimal exposure

1,324 buildings are counted in Minorca, and 55.4% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 14.2% rated Minimal.

How Minorca compares

Minorca's risk sits at a similar level relative to Louisiana (17th percentile statewide) as it does nationally (19th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Minorca ranks 25,651 for wildfire risk (1 is highest) and 9,958 by building count (1 is largest). Within Louisiana alone, it ranks 407 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.

What this risk score means for insurance

Minorca's low rating (19th 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 Minorca

Minorca's 55.4% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.

Where Minorca's figures come from

Every one of the two percentiles behind Minorca's 25,651-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Minorca's dominant direct exposure actually means, with real examples from across the dataset.