Baltic, CT Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Baltic, CT are Inland Flooding, Hurricane, and Tornado. This area also faces an unusually high intensity for Landslide compared to national averages. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,869, with a local policy non-renewal rate of 0.8%.

City Risk Scorecard
Physical Resilience43/100

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 Baltic

FEMA Flood Maps for Baltic 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
$140,110
Annualized Property Exposure

Insurance Market & Climate Stress Analysis

Current Avg. Premium (2022)

$1,869
Latest Market Rate

Recent Year Change

+2.8%
YoY Increase

2030 Forecast

$2,017
Based on 0.96% CAGR

Market Retreat (Non-Renewals)

0.78%

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

Underwriting Stress (Loss Ratio)

18.0%

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

$140,110

Expected Annual Loss for Baltic

59.9Score

Relatively Moderate compared to US average

Hurricane

$23,606

Expected Annual Loss for Baltic

79.5Score

Relatively Moderate compared to US average

Tornado

$2,384

Expected Annual Loss for Baltic

25.1Score

Very Low compared to US average

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$140,110
Score: 59.9
MAJOR DRIVER
Hurricane
$23,606
Score: 79.5
MAJOR DRIVER
Tornado
$2,384
Score: 25.1
Heat Wave
$1,707
Score: 11.0
Earthquake
$1,644
Score: 25.0
Cold Wave
$1,208
Score: 21.5
Strong Wind
$1,123
Score: 24.7
Lightning
$911
Score: 26.3
Ice Storm
$762
Score: 43.7
Hail
$475
Score: 32.3
Winter Weather
$277
Score: 37.5
Drought
$131
Score: 78.0
Wildfire
$79
Score: 56.7
UNUSUALLY HIGH
Landslide
$30
Score: 83.5

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: 59.9
🌀High Investment

Hurricane Mitigation

Install permanent hurricane shutters or upgrade to impact-resistant windows.

Risk Score: 79.5
🏠Low Investment

Drought Mitigation

General property maintenance and insurance review recommended.

Risk Score: 78.0
🔥Low Investment

Wildfire Mitigation

Create a 5ft 'non-combustible' zone around your home using gravel or pavers instead of mulch.

Risk Score: 56.7
⛰️High Investment

Landslide Mitigation

Professional slope stabilization and foundation drainage inspection is highly recommended.

Risk Score: 83.5

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 Baltic