WildfireRiskFinder

Fisher, LA

How exposed is Fisher to wildfire?

High
70thpercentile nationally

Fisher's 140 buildings earn a 70th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Fisher at the 70th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

Fisher's building exposure, zone by zone

140Total buildings
57.1%Direct exposure
42.9%Indirect exposure
0%Minimal exposure

USFS classifies 57.1% of Fisher's buildings as Direct exposure, higher than its 42.9% Indirect share and far above its 0% Minimal share — a profile where 80 structures sit close enough to vegetation that lot clearing matters most.

How Fisher compares

Compare Fisher's two percentiles: 85th within Louisiana, only 70th nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Fisher ranks 9,546 for wildfire risk (1 is highest) and 27,287 by building count (1 is largest). Within Louisiana alone, it ranks 72 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

At the 70th percentile nationally, Fisher carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.

What would actually reduce this score

Because Direct exposure dominates in Fisher (57.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Fisher's figures come from

Fisher's 70th-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 Fisher's dominant direct exposure actually means, with real examples from across the dataset.