Milwaukee, WI (53209) Cold Wave & Climate Risk Profile

The primary drivers of climate-related financial risk in Milwaukee, WI (53209) are Cold Wave, Inland Flooding, and Tornado. This area also faces an unusually high intensity for Heat Wave compared to national averages. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,307, with a local policy non-renewal rate of 1.2%.

Understanding the Dollars

Expected Annual Loss (EAL) is a statistical average of property damage for this entire zip code over a standard year across all properties.

  • / It represents the "average cost" rather than a guaranteed yearly bill.
  • / It can be used to compare the relative risk from different hazards and across different neighborhoods.

Zip Code Risk Map

Flood Plain Analysis

Localized Flood Dynamics in 53209

FEMA Flood Maps for 53209 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 High
Relative Vulnerability
$7,847,306
Annualized Property Exposure

Primary Risks

Cold Wave

$8,320,178

Expected Annual Loss for Zip Code 53209

97.7Score

Very High compared to US average

Inland Flooding

$7,847,306

Expected Annual Loss for Zip Code 53209

50.1Score

Very High compared to US average

Tornado

$1,368,054

Expected Annual Loss for Zip Code 53209

63.9Score

Relatively High compared to US average

Insurance Market Stability

Avg. Annual Premium (2022)

$1,307
Latest Market Rate

Year-over-Year Change

+2.0%
20212022

Market Retreat (Non-Renewals)

1.16%

Higher rates indicate insurers are actively reducing exposure to ZIP 53209 due to climate-linked risk.

Underwriting Stress (Loss Ratio)

66.0%

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.

Financial Risk Inventory

MAJOR DRIVER
Cold Wave
$8,320,178
Score: 97.7
MAJOR DRIVER
Inland Flooding
$7,847,306
Score: 50.1
MAJOR DRIVER
Tornado
$1,368,054
Score: 63.9
UNUSUALLY HIGH
Heat Wave
$1,180,196
Score: 80.2
Strong Wind
$107,113
Score: 36.5
Earthquake
$83,847
Score: 23.8
Hail
$49,972
Score: 41.6
Winter Weather
$39,654
Score: 58.3
Lightning
$15,427
Score: 9.6
Ice Storm
$12,127
Score: 15.5
Wildfire
$650
Score: 23.9
Hurricane
$242
Score: 14.1
Landslide
$8
Score: 28.4
Coastal Flooding
$5
Score: 4.2

Recommended Mitigation Strategies

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: 97.7
💧Medium Investment

Inland Flooding Mitigation

Install a smart sump pump with battery backup and extend downspouts 10ft from foundation.

Risk Score: 50.1
🌪️High Investment

Tornado Mitigation

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

Risk Score: 63.9
☀️Low Investment

Heat Wave Mitigation

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

Risk Score: 80.2

Methodology and Sources

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 Locations