George, IA (51237) Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in George, IA (51237) are Inland Flooding, Hail, and Tornado. This area also faces an unusually high intensity for Drought, Cold Wave, Ice Storm, and Winter Weather compared to national averages.

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 51237

FEMA Flood Maps for 51237 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 Moderate
Relative Vulnerability
$570,589
Annualized Property Exposure

Primary Risks

Inland Flooding

$570,589

Expected Annual Loss for Zip Code 51237

59.1Score

Relatively Moderate compared to US average

Hail

$428,725

Expected Annual Loss for Zip Code 51237

99.2Score

Very High compared to US average

Tornado

$279,284

Expected Annual Loss for Zip Code 51237

87.9Score

Relatively High compared to US average

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$570,589
Score: 59.1
MAJOR DRIVER
Hail
$428,725
Score: 99.2
MAJOR DRIVER
Tornado
$279,284
Score: 87.9
UNUSUALLY HIGH
Drought
$238,545
Score: 97.9
UNUSUALLY HIGH
Cold Wave
$182,090
Score: 84.8
UNUSUALLY HIGH
Ice Storm
$49,158
Score: 94.7
Strong Wind
$42,125
Score: 79.5
UNUSUALLY HIGH
Winter Weather
$37,818
Score: 98.0
Heat Wave
$34,309
Score: 52.9
Lightning
$7,954
Score: 44.7
Wildfire
$2,128
Score: 74.9
Earthquake
$2,123
Score: 11.6
Landslide
$7
Score: 61.3

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: 59.1
🧊Medium Investment

Hail Mitigation

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

Risk Score: 99.2
🌪️High Investment

Tornado Mitigation

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

Risk Score: 87.9
🏠Low Investment

Drought Mitigation

General property maintenance and insurance review recommended.

Risk Score: 97.9
🏠Low Investment

Cold Wave Mitigation

General property maintenance and insurance review recommended.

Risk Score: 84.8
❄️Medium Investment

Ice Storm Mitigation

Install a 10kWh backup battery system to keep pipes from freezing during grid failure.

Risk Score: 94.7
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 98.0

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