Mount Vernon, OH (43050) Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Mount Vernon, OH (43050) are Inland Flooding, Tornado, and Strong Wind. This area also faces an unusually high intensity for Hail, Ice Storm, and Winter Weather compared to national averages. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,228, with a local policy non-renewal rate of 1.3%.

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 43050

FEMA Flood Maps for 43050 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
$6,434,252
Annualized Property Exposure

Primary Risks

Inland Flooding

$6,434,252

Expected Annual Loss for Zip Code 43050

70.5Score

Very High compared to US average

Tornado

$816,095

Expected Annual Loss for Zip Code 43050

65.3Score

Relatively High compared to US average

Strong Wind

$557,543

Expected Annual Loss for Zip Code 43050

89.1Score

Relatively High compared to US average

Insurance Market Stability

Avg. Annual Premium (2022)

$1,228
Latest Market Rate

Year-over-Year Change

+2.3%
20212022

Market Retreat (Non-Renewals)

1.27%

Higher rates indicate insurers are actively reducing exposure to ZIP 43050 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
Inland Flooding
$6,434,252
Score: 70.5
MAJOR DRIVER
Tornado
$816,095
Score: 65.3
MAJOR DRIVER
Strong Wind
$557,543
Score: 89.1
Cold Wave
$503,832
Score: 62.6
UNUSUALLY HIGH
Hail
$500,900
Score: 88.3
Heat Wave
$211,171
Score: 46.8
Lightning
$160,077
Score: 76.1
UNUSUALLY HIGH
Ice Storm
$149,121
Score: 85.6
Earthquake
$121,468
Score: 39.7
UNUSUALLY HIGH
Winter Weather
$73,703
Score: 84.6
Hurricane
$11,863
Score: 39.3
Wildfire
$5,600
Score: 62.1
Landslide
$294
Score: 59.7

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: 70.5
🌪️High Investment

Tornado Mitigation

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

Risk Score: 65.3
💨Low Investment

Strong Wind Mitigation

Trim large trees back from the roofline and reinforce roof-to-wall connectors (hurricane straps).

Risk Score: 89.1
🧊Medium Investment

Hail Mitigation

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

Risk Score: 88.3
❄️Medium Investment

Ice Storm Mitigation

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

Risk Score: 85.6
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 84.6

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