Climate Risk Summary

Empire, LA Risk Profile

The primary drivers of climate-related financial risk in Empire, LA are Hurricane, Coastal Flooding, and Inland Flooding.

City-Wide Aggregation

These scores represent the population-weighted average across all residential blocks in Empire.

Primary Risks

Hurricane

$420,928

Expected Annual Loss for Empire

93.6Score

Relatively High compared to US average

Empire
Minimal Estimated LossMax Estimated Loss

Coastal Flooding

$33,642

Expected Annual Loss for Empire

93.7Score

Relatively Moderate compared to US average

Empire
Minimal Estimated LossMax Estimated Loss

Inland Flooding

$16,834

Expected Annual Loss for Empire

0.7Score

Very Low compared to US average

Empire
Minimal Estimated LossMax Estimated Loss

City Boundary

Legend
Very Low
Low
Moderate
High
Very High
Extreme

Financial Risk Inventory

MAJOR DRIVER
Hurricane
$420,928
Score: 93.6
MAJOR DRIVER
Coastal Flooding
$33,642
Score: 93.7
MAJOR DRIVER
Inland Flooding
$16,834
Score: 0.7
Cold Wave
$8,209
Score: 28.3
Tornado
$6,973
Score: 26.8
Heat Wave
$6,609
Score: 17.9
Lightning
$3,821
Score: 37.7
Earthquake
$1,153
Score: 10.6
Hail
$917
Score: 28.6
Strong Wind
$265
Score: 6.7
Ice Storm
$146
Score: 3.2
Wildfire
$146
Score: 52.5
Winter Weather
$59
Score: 16.7
Landslide
$1
Score: 42.6

Recommended investments to protect your property value and reduce insurance liability based on your local risk profile.

🌀High Investment

Hurricane Mitigation

Install permanent hurricane shutters or upgrade to impact-resistant windows.

Risk Score: 93.6
🏠Low Investment

Coastal Flooding Mitigation

General property maintenance and insurance review recommended.

Risk Score: 93.7
🔥Low Investment

Wildfire Mitigation

Create a 5ft 'non-combustible' zone around your home using gravel or pavers instead of mulch.

Risk Score: 52.5

Sources and Methodology

Spatial Aggregation

Our "Atlas" risk scores are derived using a population-weighted spatial join. Because US Zip Codes and Census Tracts do not share perfectly aligned boundaries, a simple geographic average would be misleading. We utilize US Census Block Group population statistics to identify where residents actually live within a Zip Code. We then intersect these points with FEMA National Risk Index (NRI) hazard data to calculate a weighted exposure score.

Financial Projections (EAL)

Expected Annual Loss (EAL) estimates the average economic impact of natural hazards in dollars per year. This calculation incorporates three components: Exposure (the value of structures and agriculture), Annualized Frequency (historical probability), and Historic Loss Ratio (vulnerability of the area).

Primary Data Sources

Nearby Cities

Zip Codes in Empire