Climate Risk Summary

White Marsh, MD Risk Profile

The primary drivers of climate-related financial risk in White Marsh, MD are Inland Flooding, Heat Wave, and Hurricane.

City-Wide Aggregation

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

Primary Risks

Inland Flooding

$888,347

Expected Annual Loss for White Marsh

12.6Score

Relatively Low compared to US average

White Marsh
Minimal Estimated LossMax Estimated Loss

Heat Wave

$657,156

Expected Annual Loss for White Marsh

87.3Score

Relatively High compared to US average

White Marsh
Minimal Estimated LossMax Estimated Loss

Hurricane

$222,671

Expected Annual Loss for White Marsh

68.1Score

Relatively Moderate compared to US average

White Marsh
Minimal Estimated LossMax Estimated Loss

City Boundary

Legend
Very Low
Low
Moderate
High
Very High
Extreme

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$888,347
Score: 12.6
MAJOR DRIVER
Heat Wave
$657,156
Score: 87.3
MAJOR DRIVER
Hurricane
$222,671
Score: 68.1
Cold Wave
$97,043
Score: 34.9
Earthquake
$103,163
Score: 40.1
Tornado
$69,411
Score: 28.7
Strong Wind
$51,565
Score: 42.4
Lightning
$46,154
Score: 49.9
Winter Weather
$36,720
Score: 79.0
Hail
$22,006
Score: 43.7
Ice Storm
$3,258
Score: 10.7
Wildfire
$1,089
Score: 42.5
Landslide
$5
Score: 37.9

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

☀️Low Investment

Heat Wave Mitigation

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

Risk Score: 87.3
🌀High Investment

Hurricane Mitigation

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

Risk Score: 68.1
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 79.0

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

  • FEMA National Risk IndexHazard frequency and loss data (v1.20.0)
  • U.S. Census BureauTIGER/Line 2025 Shapefiles & Decennial Population

Nearby Cities

Zip Codes in White Marsh

Climate Risk Analysis for White Marsh, MD