WildfireRiskFinder

Lockport, LA

Lockport wildfire risk explained

Moderate
31stpercentile nationally

Lockport's 1,357 buildings earn a 31st-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Lockport's burn probability — fire likelihood with no building count factored in — sits at the 26th percentile nationally.

Where Lockport's buildings actually sit

1,357Total buildings
2.1%Direct exposure
97.9%Indirect exposure
0%Minimal exposure

USFS puts 97.9% of Lockport's 1,357 buildings in the Indirect exposure zone, versus 2.1% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

Lockport against the rest of the country

There's little gap between Lockport's 31st national percentile and its 31st percentile inside Louisiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Lockport ranks 21,650 for wildfire risk (1 is highest) and 9,797 by building count (1 is largest). Within Louisiana alone, it ranks 339 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

Lockport's moderate rating (31st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Lockport's 97.9% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.

Where Lockport's figures come from

The methodology guide shows exactly how USFS turned 1,357 counted buildings into the percentiles shown above for Lockport. The exposure-zones guide covers what Lockport's dominant indirect exposure actually means, with real examples from across the dataset.