Climate Risk Summary

Zip Code 08032, Risk Profile

The primary drivers of climate-related financial risk in Unincorporated, NJ (08032) are Inland Flooding, Heat Wave, and Cold Wave. This area also faces an unusually high intensity for Winter Weather compared to national averages.

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.

Primary Risks

Inland Flooding

$4,253,162

Expected Annual Loss for Zip Code 08032

35.5Score

Relatively Moderate compared to US average

08032
Minimal Estimated LossMax Estimated Loss

Heat Wave

$803,369

Expected Annual Loss for Zip Code 08032

73.9Score

Relatively High compared to US average

08032
Minimal Estimated LossMax Estimated Loss

Cold Wave

$696,332

Expected Annual Loss for Zip Code 08032

59.9Score

Relatively Moderate compared to US average

08032
Minimal Estimated LossMax Estimated Loss

Zip Code Risk Map

FEMA Flood Zones
FloodwayHighest Risk / Active Channel
High Risk (100-Year)1% Annual Chance Flood
Moderate Risk (500-Year)0.2% Annual Chance Flood
NRI Risk Index
Very Low
Low
Moderate
High
Very High
Extreme

Flood Plain Analysis

Localized Flood Dynamics in 08032

FEMA Flood Maps for 08032 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
$4,253,162
Annualized Property Exposure

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$4,253,162
Score: 35.5
MAJOR DRIVER
Heat Wave
$803,369
Score: 73.9
MAJOR DRIVER
Cold Wave
$696,332
Score: 59.9
Earthquake
$410,150
Score: 56.6
Hurricane
$369,879
Score: 65.5
Tornado
$323,906
Score: 39.7
Lightning
$190,799
Score: 68.2
UNUSUALLY HIGH
Winter Weather
$168,933
Score: 90.3
Strong Wind
$160,970
Score: 51.0
Ice Storm
$127,552
Score: 75.6
Wildfire
$49,715
Score: 74.2
Hail
$3,729
Score: 10.6
Drought
$3,595
Score: 27.0
Landslide
$200
Score: 65.3
Coastal Flooding
$38
Score: 5.6

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: 35.5
☀️Low Investment

Heat Wave Mitigation

Ensure attic insulation is R-49+ and consider a dual-fuel backup generator for AC.

Risk Score: 73.9
🏠Low Investment

Cold Wave Mitigation

General property maintenance and insurance review recommended.

Risk Score: 59.9
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 90.3

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