Long Beach, WA Tsunami & Climate Risk Profile

The primary drivers of climate-related financial risk in Long Beach, WA are Tsunami, Earthquake, and Inland Flooding. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,109, with a local policy non-renewal rate of 0.7%.

City Risk Scorecard
Physical Resilience34/100

Based on FEMA EAL and hazard intensity.

Insurance Stability
Market Stable

Metrics indicate a balanced risk-to-premium environment with standard renewal rates.

Spatial Analysis

Flood Plain Analysis

Localized Flood Dynamics in Long Beach

FEMA Flood Maps for Long Beach 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
Relatively Low
Relative Vulnerability
$363,261
Annualized Property Exposure

Insurance Market & Climate Stress Analysis

Current Avg. Premium (2022)

$1,109
Latest Market Rate

Recent Year Change

+1.8%
YoY Increase

2030 Forecast

$1,314
Based on 2.14% CAGR

Market Retreat (Non-Renewals)

0.74%

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

Underwriting Stress (Loss Ratio)

44.0%

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

Tsunami

$20,199,699

Expected Annual Loss for Long Beach

99.7Score

Very High compared to US average

Earthquake

$1,664,849

Expected Annual Loss for Long Beach

96.4Score

Relatively High compared to US average

Inland Flooding

$363,261

Expected Annual Loss for Long Beach

38.9Score

Relatively Low compared to US average

Financial Risk Inventory

MAJOR DRIVER
Tsunami
$20,199,699
Score: 99.7
MAJOR DRIVER
Earthquake
$1,664,849
Score: 96.4
MAJOR DRIVER
Inland Flooding
$363,261
Score: 38.9
Heat Wave
$10,952
Score: 20.1
Cold Wave
$7,461
Score: 24.0
Strong Wind
$3,027
Score: 19.8
Tornado
$2,079
Score: 6.2
Ice Storm
$927
Score: 16.2
Lightning
$827
Score: 6.8
Winter Weather
$496
Score: 26.7
Wildfire
$357
Score: 58.7
Hail
$155
Score: 5.1
Coastal Flooding
$112
Score: 73.5
Landslide
$0
Score: 13.6

Recommended Mitigation Strategies

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

🏠Low Investment

Tsunami Mitigation

General property maintenance and insurance review recommended.

Risk Score: 99.7
🏠Low Investment

Earthquake Mitigation

General property maintenance and insurance review recommended.

Risk Score: 96.4
🔥Low Investment

Wildfire Mitigation

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

Risk Score: 58.7
🏠Low Investment

Coastal Flooding Mitigation

General property maintenance and insurance review recommended.

Risk Score: 73.5

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 Long Beach