Martinsville, NJ (08836) Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Martinsville, NJ (08836) are Inland Flooding, Hurricane, and Strong Wind. This area also faces an unusually high intensity for Ice Storm compared to national averages. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,988, with a local policy non-renewal rate of 0.7%.

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 08836

FEMA Flood Maps for 08836 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 High
Relative Vulnerability
$2,773,682
Annualized Property Exposure

Primary Risks

Inland Flooding

$2,773,682

Expected Annual Loss for Zip Code 08836

88.9Score

Relatively High compared to US average

Hurricane

$98,249

Expected Annual Loss for Zip Code 08836

70.0Score

Relatively Low compared to US average

Strong Wind

$80,080

Expected Annual Loss for Zip Code 08836

76.4Score

Relatively Moderate compared to US average

Insurance Market Stability

Avg. Annual Premium (2022)

$1,988
Latest Market Rate

Year-over-Year Change

+2.6%
20212022

Market Retreat (Non-Renewals)

0.66%

Higher rates indicate insurers are actively reducing exposure to ZIP 08836 due to climate-linked risk.

Underwriting Stress (Loss Ratio)

40.0%

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
$2,773,682
Score: 88.9
MAJOR DRIVER
Hurricane
$98,249
Score: 70.0
MAJOR DRIVER
Strong Wind
$80,080
Score: 76.4
Tornado
$78,706
Score: 43.3
Earthquake
$73,555
Score: 56.4
Heat Wave
$62,164
Score: 46.6
Cold Wave
$61,795
Score: 41.0
UNUSUALLY HIGH
Ice Storm
$31,671
Score: 81.6
Lightning
$21,345
Score: 51.1
Winter Weather
$15,869
Score: 79.2
Hail
$1,347
Score: 18.4
Wildfire
$639
Score: 55.4
Coastal Flooding
$154
Score: 31.2
Landslide
$16
Score: 57.4

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: 88.9
🌀High Investment

Hurricane Mitigation

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

Risk Score: 70.0
💨Low Investment

Strong Wind Mitigation

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

Risk Score: 76.4
❄️Medium Investment

Ice Storm Mitigation

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

Risk Score: 81.6

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