Climate Risk Summary

Hurricane, WV Risk Profile

The primary drivers of climate-related financial risk in Hurricane, WV are Inland Flooding, Heat Wave, and Strong Wind. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,320, with a local policy non-renewal rate of 0.4%.

City Risk Scorecard
Physical Resilience69/100

Based on FEMA EAL and hazard intensity.

Insurance Stability
Market Stable

Metrics indicate a balanced risk-to-premium environment with standard renewal rates.

Primary Risks

Inland Flooding

$1,345,399

Expected Annual Loss for Hurricane

67.4Score

Relatively High compared to US average

Hurricane
Minimal Estimated LossMax Estimated Loss

Heat Wave

$248,073

Expected Annual Loss for Hurricane

88.8Score

Relatively High compared to US average

Hurricane
Minimal Estimated LossMax Estimated Loss

Strong Wind

$42,267

Expected Annual Loss for Hurricane

64.5Score

Relatively Moderate compared to US average

Hurricane
Minimal Estimated LossMax Estimated Loss

Spatial Analysis

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 Hurricane

FEMA Flood Maps for Hurricane 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
$1,345,399
Annualized Property Exposure

Insurance Market Stability

Avg. Annual Premium

$1,320

Estimated baseline property insurance cost prior to localized disaster surcharges.

Non-Renewal Rate

0.4%

The percentage of homeowner policies canceled by insurers, a key indicator of market retreat.

Insurer Loss Ratio

33%

For every $1 collected in premium, insurers are paying out $0.33 in claims.

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$1,345,399
Score: 67.4
MAJOR DRIVER
Heat Wave
$248,073
Score: 88.8
MAJOR DRIVER
Strong Wind
$42,267
Score: 64.5
Lightning
$32,056
Score: 69.8
Tornado
$25,601
Score: 29.4
Ice Storm
$22,780
Score: 78.6
Earthquake
$19,593
Score: 33.0
Hail
$20,304
Score: 61.5
Cold Wave
$18,025
Score: 25.6
Hurricane
$9,266
Score: 48.7
Winter Weather
$5,435
Score: 57.7
Wildfire
$178
Score: 42.2
Landslide
$1
Score: 37.1

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: 67.4
☀️Low Investment

Heat Wave Mitigation

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

Risk Score: 88.8
💨Low Investment

Strong Wind Mitigation

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

Risk Score: 64.5
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 69.8
❄️Medium Investment

Ice Storm Mitigation

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

Risk Score: 78.6
🧊Medium Investment

Hail Mitigation

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

Risk Score: 61.5
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 57.7

Sources and Methodology

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 Cities

Zip Codes in Hurricane