Climate Risk Atlas/MD/Riviera Beach

Riviera Beach, MD Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Riviera Beach, MD are Inland Flooding, Hurricane, and Heat Wave. 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 $1,394, with a local policy non-renewal rate of 0.8%.

City Risk Scorecard
Physical Resilience93/100

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 Riviera Beach

FEMA Flood Maps for Riviera 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
$479,847
Annualized Property Exposure

Insurance Market & Climate Stress Analysis

Current Avg. Premium (2022)

$1,394
Latest Market Rate

Recent Year Change

+3.3%
YoY Increase

2030 Forecast

$1,698
Based on 2.5% CAGR

Market Retreat (Non-Renewals)

0.80%

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

Underwriting Stress (Loss Ratio)

44.6%

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

Inland Flooding

$479,847

Expected Annual Loss for Riviera Beach

7.8Score

Relatively Low compared to US average

Hurricane

$143,046

Expected Annual Loss for Riviera Beach

65.2Score

Relatively Moderate compared to US average

Heat Wave

$137,903

Expected Annual Loss for Riviera Beach

52.0Score

Relatively Moderate compared to US average

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$479,847
Score: 7.8
MAJOR DRIVER
Hurricane
$143,046
Score: 65.2
MAJOR DRIVER
Heat Wave
$137,903
Score: 52.0
Tornado
$128,502
Score: 41.5
Strong Wind
$66,435
Score: 54.4
Earthquake
$61,536
Score: 36.9
Cold Wave
$54,990
Score: 29.9
Lightning
$49,430
Score: 57.9
UNUSUALLY HIGH
Coastal Flooding
$39,680
Score: 87.0
Winter Weather
$24,344
Score: 74.1
Hail
$18,191
Score: 44.8
Ice Storm
$10,770
Score: 38.9
Drought
$1,058
Score: 49.5
Wildfire
$204
Score: 32.5
Landslide
$32
Score: 49.2

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: 65.2
☀️Low Investment

Heat Wave Mitigation

Ensure attic insulation is R-49+ and consider a dual-fuel backup generator for AC.

Risk Score: 52.0
💨Low Investment

Strong Wind Mitigation

Trim large trees back from the roofline and reinforce roof-to-wall connectors (hurricane straps).

Risk Score: 54.4
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 57.9
🏠Low Investment

Coastal Flooding Mitigation

General property maintenance and insurance review recommended.

Risk Score: 87.0
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 74.1

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 Riviera Beach