Climate Risk Summary

Cudahy, WI Risk Profile

The primary drivers of climate-related financial risk in Cudahy, WI are Cold Wave, Inland Flooding, and Tornado.

City-Wide Aggregation

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

Primary Risks

Cold Wave

$3,417,051

Expected Annual Loss for Cudahy

95.3Score

Very High compared to US average

Cudahy
Minimal Estimated LossMax Estimated Loss

Inland Flooding

$1,145,478

Expected Annual Loss for Cudahy

11.1Score

Relatively Low compared to US average

Cudahy
Minimal Estimated LossMax Estimated Loss

Tornado

$739,459

Expected Annual Loss for Cudahy

63.4Score

Relatively High compared to US average

Cudahy
Minimal Estimated LossMax Estimated Loss

City Boundary

Legend
Very Low
Low
Moderate
High
Very High
Extreme

Financial Risk Inventory

MAJOR DRIVER
Cold Wave
$3,417,051
Score: 95.3
MAJOR DRIVER
Inland Flooding
$1,145,478
Score: 11.1
MAJOR DRIVER
Tornado
$739,459
Score: 63.4
Heat Wave
$484,700
Score: 71.8
Strong Wind
$61,981
Score: 37.7
Hail
$27,367
Score: 41.8
Winter Weather
$16,150
Score: 51.2
Earthquake
$14,724
Score: 11.3
Ice Storm
$6,814
Score: 15.8
Lightning
$6,235
Score: 6.8
Wildfire
$143
Score: 20.9
Hurricane
$95
Score: 13.3
Landslide
$2
Score: 24.8
Drought
$1
Score: 16.4
Coastal Flooding
$0
Score: 10.8

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

🏠Low Investment

Cold Wave Mitigation

General property maintenance and insurance review recommended.

Risk Score: 95.3
🌪️High Investment

Tornado Mitigation

Reinforce garage doors and consider a FEMA-approved safe room or storm cellar.

Risk Score: 63.4
☀️Low Investment

Heat Wave Mitigation

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

Risk Score: 71.8
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 51.2

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 Cudahy