Climate Risk Summary

Crystal, MN Risk Profile

The primary drivers of climate-related financial risk in Crystal, MN are Inland Flooding, Cold Wave, and Tornado.

City-Wide Aggregation

These scores represent the population-weighted average across all residential blocks in Crystal.

Primary Risks

Inland Flooding

$3,506,472

Expected Annual Loss for Crystal

35.5Score

Relatively Moderate compared to US average

Crystal
Minimal Estimated LossMax Estimated Loss

Cold Wave

$1,741,612

Expected Annual Loss for Crystal

83.8Score

Relatively High compared to US average

Crystal
Minimal Estimated LossMax Estimated Loss

Tornado

$966,497

Expected Annual Loss for Crystal

63.7Score

Relatively High compared to US average

Crystal
Minimal Estimated LossMax Estimated Loss

City Boundary

Legend
Very Low
Low
Moderate
High
Very High
Extreme

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$3,506,472
Score: 35.5
MAJOR DRIVER
Cold Wave
$1,741,612
Score: 83.8
MAJOR DRIVER
Tornado
$966,497
Score: 63.7
Heat Wave
$671,697
Score: 73.8
Hail
$315,124
Score: 79.6
Strong Wind
$96,090
Score: 42.4
Lightning
$23,346
Score: 19.4
Winter Weather
$19,398
Score: 49.8
Ice Storm
$7,532
Score: 13.6
Earthquake
$2,652
Score: 2.3
Wildfire
$281
Score: 24.4
Landslide
$24
Score: 45.8
Drought
$3
Score: 5.9

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

🏠Low Investment

Cold Wave Mitigation

General property maintenance and insurance review recommended.

Risk Score: 83.8
🌪️High Investment

Tornado Mitigation

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

Risk Score: 63.7
☀️Low Investment

Heat Wave Mitigation

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

Risk Score: 73.8
🧊Medium Investment

Hail Mitigation

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

Risk Score: 79.6

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 Crystal