Green Bay, WI Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Green Bay, WI are Inland Flooding, Cold Wave, and Tornado. This area also faces an unusually high intensity for Hail and Lightning compared to national averages. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $939, with a local policy non-renewal rate of 0.6%.

City Risk Scorecard
Physical Resilience80/100

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 Green Bay

FEMA Flood Maps for Green Bay 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 High
Relative Vulnerability
$17,486,652
Annualized Property Exposure

Insurance Market & Climate Stress Analysis

Current Avg. Premium (2022)

$939
Latest Market Rate

Recent Year Change

+-0.2%
YoY Increase

2030 Forecast

$1,056
Based on 1.48% CAGR

Market Retreat (Non-Renewals)

0.56%

Higher rates indicate insurers are actively reducing exposure to Green Bay due to climate-linked risk.

Underwriting Stress (Loss Ratio)

56.0%

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

Inland Flooding

$17,486,652

Expected Annual Loss for Green Bay

49.4Score

Relatively High compared to US average

Cold Wave

$9,920,927

Expected Annual Loss for Green Bay

91.4Score

Very High compared to US average

Tornado

$4,162,078

Expected Annual Loss for Green Bay

68.4Score

Relatively High compared to US average

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$17,486,652
Score: 49.4
MAJOR DRIVER
Cold Wave
$9,920,927
Score: 91.4
MAJOR DRIVER
Tornado
$4,162,078
Score: 68.4
UNUSUALLY HIGH
Hail
$1,276,540
Score: 80.8
UNUSUALLY HIGH
Lightning
$897,540
Score: 81.7
Heat Wave
$586,933
Score: 33.0
Winter Weather
$121,639
Score: 63.7
Strong Wind
$91,680
Score: 19.0
Earthquake
$48,995
Score: 8.3
Ice Storm
$34,328
Score: 18.1
Coastal Flooding
$21,669
Score: 56.6
Wildfire
$3,585
Score: 37.4
Hurricane
$3,155
Score: 20.4
Landslide
$288
Score: 42.8

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: 91.4
🌪️High Investment

Tornado Mitigation

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

Risk Score: 68.4
🧊Medium Investment

Hail Mitigation

Replace roof with Class 4 impact-resistant shingles to significantly lower insurance premiums.

Risk Score: 80.8
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 81.7
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 63.7
🏠Low Investment

Coastal Flooding Mitigation

General property maintenance and insurance review recommended.

Risk Score: 56.6

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 Green Bay