Jefferson, WI (53549) Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Jefferson, WI (53549) are Inland Flooding, Tornado, and Cold Wave. 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 $1,179, with a local policy non-renewal rate of 0.6%.

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

Significant Flood Exposure in 53549

FEMA Flood Maps for 53549 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
$5,611,084
Annualized Property Exposure

Primary Risks

Inland Flooding

$5,611,084

Expected Annual Loss for Zip Code 53549

86.8Score

Very High compared to US average

Tornado

$1,136,978

Expected Annual Loss for Zip Code 53549

84.1Score

Very High compared to US average

Cold Wave

$1,024,894

Expected Annual Loss for Zip Code 53549

87.4Score

Relatively High compared to US average

Insurance Market Stability

Avg. Annual Premium (2022)

$1,179
Latest Market Rate

Year-over-Year Change

+4.2%
20212022

Market Retreat (Non-Renewals)

0.60%

Higher rates indicate insurers are actively reducing exposure to ZIP 53549 due to climate-linked risk.

Underwriting Stress (Loss Ratio)

539.0%

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
Inland Flooding
$5,611,084
Score: 86.8
MAJOR DRIVER
Tornado
$1,136,978
Score: 84.1
MAJOR DRIVER
Cold Wave
$1,024,894
Score: 87.4
UNUSUALLY HIGH
Hail
$482,540
Score: 92.6
Heat Wave
$194,106
Score: 59.1
Strong Wind
$189,775
Score: 78.1
UNUSUALLY HIGH
Lightning
$150,874
Score: 86.2
Earthquake
$38,889
Score: 28.6
Winter Weather
$17,392
Score: 63.7
Ice Storm
$12,678
Score: 40.0
Drought
$7,030
Score: 78.2
Wildfire
$3,601
Score: 56.3
Hurricane
$493
Score: 20.4
Landslide
$348
Score: 64.7

Recommended Mitigation Strategies

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

💧Medium Investment

Inland Flooding Mitigation

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

Risk Score: 86.8
🌪️High Investment

Tornado Mitigation

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

Risk Score: 84.1
🏠Low Investment

Cold Wave Mitigation

General property maintenance and insurance review recommended.

Risk Score: 87.4
🧊Medium Investment

Hail Mitigation

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

Risk Score: 92.6
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 86.2

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