Bacliff, TX (77565) Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Bacliff, TX (77565) are Inland Flooding, Cold Wave, and Hurricane. This area also faces an unusually high intensity for Coastal Flooding compared to national averages. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,895.

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

Localized Flood Dynamics in 77565

FEMA Flood Maps for 77565 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
$1,592,968
Annualized Property Exposure

Primary Risks

Inland Flooding

$1,592,968

Expected Annual Loss for Zip Code 77565

27.9Score

Relatively Moderate compared to US average

Cold Wave

$1,312,971

Expected Annual Loss for Zip Code 77565

86.8Score

Very High compared to US average

Hurricane

$1,275,293

Expected Annual Loss for Zip Code 77565

85.6Score

Relatively Moderate compared to US average

Insurance Market Stability

Avg. Annual Premium (2022)

$1,895
Latest Market Rate

Year-over-Year Change

-9.0%
20212022

Market Retreat (Non-Renewals)

0.00%

Higher rates indicate insurers are actively reducing exposure to ZIP 77565 due to climate-linked risk.

Underwriting Stress (Loss Ratio)

72.0%

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
$1,592,968
Score: 27.9
MAJOR DRIVER
Cold Wave
$1,312,971
Score: 86.8
MAJOR DRIVER
Hurricane
$1,275,293
Score: 85.6
Tornado
$467,386
Score: 59.5
UNUSUALLY HIGH
Coastal Flooding
$175,054
Score: 90.9
Heat Wave
$119,211
Score: 37.1
Lightning
$71,009
Score: 58.7
Ice Storm
$30,316
Score: 57.7
Strong Wind
$17,074
Score: 20.1
Hail
$15,373
Score: 37.5
Earthquake
$9,973
Score: 10.8
Wildfire
$758
Score: 28.7
Winter Weather
$356
Score: 15.9
Landslide
$11
Score: 43.3

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: 27.9
🏠Low Investment

Cold Wave Mitigation

General property maintenance and insurance review recommended.

Risk Score: 86.8
🌀High Investment

Hurricane Mitigation

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

Risk Score: 85.6
🏠Low Investment

Coastal Flooding Mitigation

General property maintenance and insurance review recommended.

Risk Score: 90.9

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