Lake Don Pedro, CA (95329) Wildfire & Climate Risk Profile

The primary drivers of climate-related financial risk in Lake Don Pedro, CA (95329) are Wildfire, Drought, and Heat Wave. This area also faces an unusually high intensity for Landslide compared to national averages. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,992, with a local policy non-renewal rate of 3.9%.

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 95329

FEMA Flood Maps for 95329 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
$980,713
Annualized Property Exposure

Primary Risks

Wildfire

$2,546,257

Expected Annual Loss for Zip Code 95329

99.1Score

Very High compared to US average

Drought

$2,326,023

Expected Annual Loss for Zip Code 95329

96.0Score

Very High compared to US average

Heat Wave

$1,143,288

Expected Annual Loss for Zip Code 95329

93.8Score

Very High compared to US average

Insurance Market Stability

Avg. Annual Premium (2022)

$1,992
Latest Market Rate

Year-over-Year Change

+16.8%
20212022

Market Retreat (Non-Renewals)

3.93%

Higher rates indicate insurers are actively reducing exposure to ZIP 95329 due to climate-linked risk.

Underwriting Stress (Loss Ratio)

101.0%

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
Wildfire
$2,546,257
Score: 99.1
MAJOR DRIVER
Drought
$2,326,023
Score: 96.0
MAJOR DRIVER
Heat Wave
$1,143,288
Score: 93.8
Inland Flooding
$980,713
Score: 78.2
UNUSUALLY HIGH
Landslide
$356,187
Score: 93.4
Earthquake
$137,161
Score: 72.9
Lightning
$29,634
Score: 71.2
Hail
$8,197
Score: 46.8
Strong Wind
$6,540
Score: 28.3
Winter Weather
$4,957
Score: 53.6
Tornado
$3,434
Score: 9.0
Volcanic Activity
$2
Score: 74.8

Recommended Mitigation Strategies

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

🔥Low Investment

Wildfire Mitigation

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

Risk Score: 99.1
🏠Low Investment

Drought Mitigation

General property maintenance and insurance review recommended.

Risk Score: 96.0
☀️Low Investment

Heat Wave Mitigation

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

Risk Score: 93.8
⛰️High Investment

Landslide Mitigation

Professional slope stabilization and foundation drainage inspection is highly recommended.

Risk Score: 93.4

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