Nacogdoches, TX (75961) Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Nacogdoches, TX (75961) are Inland Flooding, Tornado, and Strong Wind. This area also faces an unusually high intensity for Heat Wave, Lightning, and Ice Storm compared to national averages. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,989.

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 75961

FEMA Flood Maps for 75961 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
$3,054,920
Annualized Property Exposure

Primary Risks

Inland Flooding

$3,054,920

Expected Annual Loss for Zip Code 75961

60.5Score

Relatively High compared to US average

Tornado

$2,244,743

Expected Annual Loss for Zip Code 75961

96.1Score

Very High compared to US average

Strong Wind

$679,838

Expected Annual Loss for Zip Code 75961

95.9Score

Very High compared to US average

Insurance Market Stability

Avg. Annual Premium (2022)

$1,989
Latest Market Rate

Year-over-Year Change

+2.7%
20212022

Market Retreat (Non-Renewals)

0.00%

Higher rates indicate insurers are actively reducing exposure to ZIP 75961 due to climate-linked risk.

Underwriting Stress (Loss Ratio)

30.0%

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
$3,054,920
Score: 60.5
MAJOR DRIVER
Tornado
$2,244,743
Score: 96.1
MAJOR DRIVER
Strong Wind
$679,838
Score: 95.9
UNUSUALLY HIGH
Heat Wave
$666,889
Score: 88.9
Hurricane
$577,519
Score: 79.5
Cold Wave
$390,610
Score: 67.3
UNUSUALLY HIGH
Lightning
$173,310
Score: 89.2
UNUSUALLY HIGH
Ice Storm
$96,079
Score: 85.9
Wildfire
$64,112
Score: 78.4
Hail
$58,815
Score: 63.6
Earthquake
$52,862
Score: 32.5
Winter Weather
$31,072
Score: 76.5
Landslide
$1,308
Score: 73.5

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: 60.5
🌪️High Investment

Tornado Mitigation

Reinforce garage doors and consider a FEMA-approved safe room or storm cellar.

Risk Score: 96.1
💨Low Investment

Strong Wind Mitigation

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

Risk Score: 95.9
☀️Low Investment

Heat Wave Mitigation

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

Risk Score: 88.9
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 89.2
❄️Medium Investment

Ice Storm Mitigation

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

Risk Score: 85.9

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