Moore Haven, FL (33471) Hurricane & Climate Risk Profile

The primary drivers of climate-related financial risk in Moore Haven, FL (33471) are Hurricane, Inland Flooding, and Strong Wind. This area also faces an unusually high intensity for Cold Wave, Lightning, Wildfire, and Drought 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 33471

FEMA Flood Maps for 33471 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
$1,268,272
Annualized Property Exposure

Primary Risks

Hurricane

$1,696,458

Expected Annual Loss for Zip Code 33471

97.1Score

Relatively High compared to US average

Inland Flooding

$1,268,272

Expected Annual Loss for Zip Code 33471

83.5Score

Relatively High compared to US average

Strong Wind

$342,103

Expected Annual Loss for Zip Code 33471

99.0Score

Very High compared to US average

Financial Risk Inventory

MAJOR DRIVER
Hurricane
$1,696,458
Score: 97.1
MAJOR DRIVER
Inland Flooding
$1,268,272
Score: 83.5
MAJOR DRIVER
Strong Wind
$342,103
Score: 99.0
UNUSUALLY HIGH
Cold Wave
$274,929
Score: 87.6
UNUSUALLY HIGH
Lightning
$271,112
Score: 99.8
UNUSUALLY HIGH
Wildfire
$248,336
Score: 96.8
UNUSUALLY HIGH
Drought
$99,697
Score: 95.6
Tornado
$79,780
Score: 54.0
Heat Wave
$39,798
Score: 50.2
Hail
$6,679
Score: 48.3
Earthquake
$2,097
Score: 9.9
Landslide
$19
Score: 68.2

Recommended Mitigation Strategies

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

🌀High Investment

Hurricane Mitigation

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

Risk Score: 97.1
💧Medium Investment

Inland Flooding Mitigation

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

Risk Score: 83.5
💨Low Investment

Strong Wind Mitigation

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

Risk Score: 99.0
🏠Low Investment

Cold Wave Mitigation

General property maintenance and insurance review recommended.

Risk Score: 87.6
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 99.8
🔥Low Investment

Wildfire Mitigation

Create a 5ft 'non-combustible' zone around your home using gravel or pavers instead of mulch.

Risk Score: 96.8
🏠Low Investment

Drought Mitigation

General property maintenance and insurance review recommended.

Risk Score: 95.6

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