Mastic, NY (11950) Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Mastic, NY (11950) are Inland Flooding, Hurricane, and Earthquake. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,973, 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 11950

FEMA Flood Maps for 11950 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 Low
Relative Vulnerability
$1,345,006
Annualized Property Exposure

Primary Risks

Inland Flooding

$1,345,006

Expected Annual Loss for Zip Code 11950

20.9Score

Relatively Low compared to US average

Hurricane

$175,504

Expected Annual Loss for Zip Code 11950

66.1Score

Relatively Low compared to US average

Earthquake

$132,640

Expected Annual Loss for Zip Code 11950

51.3Score

Relatively Low compared to US average

Insurance Market Stability

Avg. Annual Premium (2022)

$1,973
Latest Market Rate

Year-over-Year Change

+2.1%
20212022

Market Retreat (Non-Renewals)

0.81%

Higher rates indicate insurers are actively reducing exposure to ZIP 11950 due to climate-linked risk.

Underwriting Stress (Loss Ratio)

35.0%

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
$1,345,006
Score: 20.9
MAJOR DRIVER
Hurricane
$175,504
Score: 66.1
MAJOR DRIVER
Earthquake
$132,640
Score: 51.3
Cold Wave
$119,098
Score: 37.3
Heat Wave
$34,271
Score: 10.8
Strong Wind
$30,541
Score: 29.8
Lightning
$23,781
Score: 31.3
Tornado
$20,658
Score: 12.3
Winter Weather
$17,090
Score: 61.0
Ice Storm
$13,967
Score: 40.1
Coastal Flooding
$12,111
Score: 70.0
Wildfire
$1,043
Score: 43.5
Hail
$711
Score: 4.2
Landslide
$6
Score: 41.7

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: 20.9
🌀High Investment

Hurricane Mitigation

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

Risk Score: 66.1
🏠Low Investment

Earthquake Mitigation

General property maintenance and insurance review recommended.

Risk Score: 51.3

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