Arabi, LA Hurricane & Climate Risk Profile

The primary drivers of climate-related financial risk in Arabi, LA are Hurricane, Inland Flooding, and Tornado. This area also faces an unusually high intensity for Coastal Flooding compared to national averages. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $2,746, alongside unusually high policy non-renewal rates that indicate growing underwriting pressure.

City Risk Scorecard
Physical Resilience34/100

Based on FEMA EAL and hazard intensity.

Insurance Stability
High Volatility

Non-renewal rates exceed 2σ from the national mean. Signifies active insurer retreat.

Spatial Analysis

Flood Plain Analysis

Localized Flood Dynamics in Arabi

FEMA Flood Maps for Arabi identify the "100-year" and "500-year" floodplains (1% and 0.2% annual chance), but modern climate risk analysis suggests that nearly 25% of flood insurance claims originate from properties outside of these designated high-risk zones.

Use the map above to better understand risk by looking at both the FEMA flood plain maps and FEMA Risk Inventory maps by census tract. Standard FEMA maps may not account for 'flash flooding' from intense rain events.
FEMA Designation vs. Reality
Very Low
Relative Vulnerability
$392,502
Annualized Property Exposure

Insurance Market & Climate Stress Analysis

Current Avg. Premium (2022)

$2,746
Latest Market Rate

Recent Year Change

+0.3%
YoY Increase

2030 Forecast

$2,571
Based on -0.82% CAGR

Market Retreat (Non-Renewals)

8.33%

Higher rates indicate insurers are actively reducing exposure to Arabi due to climate-linked risk.

Underwriting Stress (Loss Ratio)

514.0%

A ratio over 70% suggests insurers are paying out nearly all premiums as claims, forcing future price hikes.

Historical Market Trends

Toggle series below to compare costs vs. market stress indicators

Historical Trends & Forecasting

Compare premium costs against underlying risk factors.

Primary Risks

Hurricane

$2,549,995

Expected Annual Loss for Arabi

94.2Score

Relatively High compared to US average

Inland Flooding

$392,502

Expected Annual Loss for Arabi

4.7Score

Very Low compared to US average

Tornado

$128,292

Expected Annual Loss for Arabi

44.8Score

Relatively Low compared to US average

Financial Risk Inventory

MAJOR DRIVER
Hurricane
$2,549,995
Score: 94.2
MAJOR DRIVER
Inland Flooding
$392,502
Score: 4.7
MAJOR DRIVER
Tornado
$128,292
Score: 44.8
Cold Wave
$92,225
Score: 40.8
Heat Wave
$75,301
Score: 39.4
Lightning
$49,389
Score: 65.0
Hail
$14,455
Score: 45.0
Strong Wind
$11,975
Score: 21.4
UNUSUALLY HIGH
Coastal Flooding
$11,015
Score: 82.8
Earthquake
$10,696
Score: 15.1
Ice Storm
$2,304
Score: 10.9
Winter Weather
$2,151
Score: 29.1
Wildfire
$124
Score: 30.0
Landslide
$0
Score: 13.0

Recommended Mitigation Strategies

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: 94.2
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 65.0
🏠Low Investment

Coastal Flooding Mitigation

General property maintenance and insurance review recommended.

Risk Score: 82.8

Sources and Methodology

Spatial Climate Risk Modeling

The Expected Annual Loss (EAL) and hazard risk scores are derived from the FEMA NRI zip code dataset using a population-weighted spatial join. Because Zip Codes and Census Tracts do not share perfectly aligned boundaries, we utilize US Census Block Group population centroids to identify where residents actually live.

Financial & Insurance Metrics

The pysical resilence score is calculated by synthesizing Expected Annual Loss (EAL) against the total building replacement value within a jurisdiction. This creates a "Loss Ratio" that measures physical resilience. We supplement this with ZIP-code level data from the U.S. Treasury's Federal Insurance Office (FIO), monitoring trends in premium growth, loss ratios, and policy non-renewals to identify emerging "Insurance Deserts."

Primary Data Sources

Nearby Cities

Zip Codes in Arabi