Climate Risk Summary

Corona de Tucson, AZ Risk Profile

The primary drivers of climate-related financial risk in Corona de Tucson, AZ are Wildfire, Heat Wave, and Inland Flooding.

City-Wide Aggregation

These scores represent the population-weighted average across all residential blocks in Corona de Tucson.

Primary Risks

Wildfire

$951,189

Expected Annual Loss for Corona de Tucson

98.5Score

Relatively High compared to US average

Corona de Tucson
Minimal Estimated LossMax Estimated Loss

Heat Wave

$937,225

Expected Annual Loss for Corona de Tucson

97.9Score

Very High compared to US average

Corona de Tucson
Minimal Estimated LossMax Estimated Loss

Inland Flooding

$511,964

Expected Annual Loss for Corona de Tucson

29.4Score

Relatively Low compared to US average

Corona de Tucson
Minimal Estimated LossMax Estimated Loss

City Boundary

Legend
Very Low
Low
Moderate
High
Very High
Extreme

Financial Risk Inventory

MAJOR DRIVER
Wildfire
$951,189
Score: 98.5
MAJOR DRIVER
Heat Wave
$937,225
Score: 97.9
MAJOR DRIVER
Inland Flooding
$511,964
Score: 29.4
Lightning
$18,017
Score: 55.2
Hail
$9,648
Score: 50.6
Earthquake
$7,289
Score: 19.3
Strong Wind
$7,209
Score: 24.1
Tornado
$3,710
Score: 6.5
Winter Weather
$1,322
Score: 32.0
Hurricane
$32
Score: 14.3
Landslide
$0
Score: 29.1

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: 98.5
☀️Low Investment

Heat Wave Mitigation

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

Risk Score: 97.9
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 55.2
🧊Medium Investment

Hail Mitigation

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

Risk Score: 50.6

Sources and Methodology

Spatial Aggregation

Our "Atlas" risk scores are derived using a population-weighted spatial join. Because US Zip Codes and Census Tracts do not share perfectly aligned boundaries, a simple geographic average would be misleading. We utilize US Census Block Group population statistics to identify where residents actually live within a Zip Code. We then intersect these points with FEMA National Risk Index (NRI) hazard data to calculate a weighted exposure score.

Financial Projections (EAL)

Expected Annual Loss (EAL) estimates the average economic impact of natural hazards in dollars per year. This calculation incorporates three components: Exposure (the value of structures and agriculture), Annualized Frequency (historical probability), and Historic Loss Ratio (vulnerability of the area).

Primary Data Sources

  • FEMA National Risk IndexHazard frequency and loss data (v1.20.0)
  • U.S. Census BureauTIGER/Line 2025 Shapefiles & Decennial Population

Nearby Cities

Zip Codes in Corona de Tucson