Washington, DC (20373) Earthquake & Climate Risk Profile

The primary drivers of climate-related financial risk in Washington, DC (20373) are Earthquake, Inland Flooding, and Hurricane. This area also faces an unusually high intensity for Coastal Flooding, Hail, Heat Wave, Strong Wind, and Landslide 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.

Zip Code Risk Map

Flood Plain Analysis

Significant Flood Exposure in 20373

FEMA Flood Maps for 20373 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
$1,110,818
Annualized Property Exposure

Primary Risks

Earthquake

$13,294,067

Expected Annual Loss for Zip Code 20373

100.0Score

Very High compared to US average

Inland Flooding

$1,110,818

Expected Annual Loss for Zip Code 20373

95.5Score

Relatively High compared to US average

Hurricane

$508,748

Expected Annual Loss for Zip Code 20373

94.7Score

Relatively High compared to US average

Financial Risk Inventory

MAJOR DRIVER
Earthquake
$13,294,067
Score: 100.0
MAJOR DRIVER
Inland Flooding
$1,110,818
Score: 95.5
MAJOR DRIVER
Hurricane
$508,748
Score: 94.7
UNUSUALLY HIGH
Coastal Flooding
$259,678
Score: 98.8
Tornado
$119,133
Score: 78.6
UNUSUALLY HIGH
Hail
$73,009
Score: 93.9
UNUSUALLY HIGH
Heat Wave
$66,329
Score: 84.7
UNUSUALLY HIGH
Strong Wind
$46,155
Score: 89.4
Cold Wave
$19,577
Score: 43.2
Lightning
$7,247
Score: 56.6
Winter Weather
$3,190
Score: 71.5
Ice Storm
$2,708
Score: 52.6
UNUSUALLY HIGH
Landslide
$182
Score: 88.1
Wildfire
$41
Score: 37.4

Recommended Mitigation Strategies

Recommended investments to protect your property value and reduce insurance liability based on your local risk profile.

🏠Low Investment

Earthquake Mitigation

General property maintenance and insurance review recommended.

Risk Score: 100.0
💧Medium Investment

Inland Flooding Mitigation

Install a smart sump pump with battery backup and extend downspouts 10ft from foundation.

Risk Score: 95.5
🌀High Investment

Hurricane Mitigation

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

Risk Score: 94.7
🏠Low Investment

Coastal Flooding Mitigation

General property maintenance and insurance review recommended.

Risk Score: 98.8
🧊Medium Investment

Hail Mitigation

Replace roof with Class 4 impact-resistant shingles to significantly lower insurance premiums.

Risk Score: 93.9
☀️Low Investment

Heat Wave Mitigation

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

Risk Score: 84.7
💨Low Investment

Strong Wind Mitigation

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

Risk Score: 89.4
⛰️High Investment

Landslide Mitigation

Professional slope stabilization and foundation drainage inspection is highly recommended.

Risk Score: 88.1

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