Cedarhurst, NY (11516) Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Cedarhurst, NY (11516) are Inland Flooding, Earthquake, and Coastal Flooding. This area also faces an unusually high intensity for 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 $4,048, with a local policy non-renewal rate of 0.8%.

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 11516

FEMA Flood Maps for 11516 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
$1,020,793
Annualized Property Exposure

Primary Risks

Inland Flooding

$1,020,793

Expected Annual Loss for Zip Code 11516

69.4Score

Relatively Moderate compared to US average

Earthquake

$196,779

Expected Annual Loss for Zip Code 11516

78.8Score

Relatively Moderate compared to US average

Coastal Flooding

$186,254

Expected Annual Loss for Zip Code 11516

96.3Score

Relatively High compared to US average

Insurance Market Stability

Avg. Annual Premium (2022)

$4,048
Latest Market Rate

Year-over-Year Change

+2.4%
20212022

Market Retreat (Non-Renewals)

0.80%

Higher rates indicate insurers are actively reducing exposure to ZIP 11516 due to climate-linked risk.

Underwriting Stress (Loss Ratio)

61.0%

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
$1,020,793
Score: 69.4
MAJOR DRIVER
Earthquake
$196,779
Score: 78.8
MAJOR DRIVER
Coastal Flooding
$186,254
Score: 96.3
Hurricane
$140,608
Score: 79.4
Cold Wave
$61,019
Score: 50.3
Heat Wave
$50,731
Score: 53.6
Strong Wind
$29,602
Score: 61.3
Tornado
$24,557
Score: 31.9
UNUSUALLY HIGH
Ice Storm
$23,276
Score: 83.5
Lightning
$18,805
Score: 60.1
UNUSUALLY HIGH
Winter Weather
$12,478
Score: 82.7
Hail
$647
Score: 14.8
Wildfire
$3
Score: 3.4
Landslide
$0
Score: 22.8

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: 69.4
🏠Low Investment

Earthquake Mitigation

General property maintenance and insurance review recommended.

Risk Score: 78.8
🏠Low Investment

Coastal Flooding Mitigation

General property maintenance and insurance review recommended.

Risk Score: 96.3
❄️Medium Investment

Ice Storm Mitigation

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

Risk Score: 83.5
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 82.7

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