Climate Risk Summary

McDonald, OH Risk Profile

The primary drivers of climate-related financial risk in McDonald, OH are Inland Flooding, Tornado, and Strong Wind.

City-Wide Aggregation

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

Primary Risks

Inland Flooding

$366,906

Expected Annual Loss for McDonald

19.2Score

Relatively Low compared to US average

McDonald
Minimal Estimated LossMax Estimated Loss

Tornado

$95,587

Expected Annual Loss for McDonald

54.2Score

Relatively Moderate compared to US average

McDonald
Minimal Estimated LossMax Estimated Loss

Strong Wind

$47,755

Expected Annual Loss for McDonald

73.3Score

Relatively Moderate compared to US average

McDonald
Minimal Estimated LossMax Estimated Loss

City Boundary

Legend
Very Low
Low
Moderate
High
Very High
Extreme

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$366,906
Score: 19.2
MAJOR DRIVER
Tornado
$95,587
Score: 54.2
MAJOR DRIVER
Strong Wind
$47,755
Score: 73.3
Hail
$25,718
Score: 69.9
Heat Wave
$15,453
Score: 17.5
Lightning
$11,839
Score: 44.8
Earthquake
$6,375
Score: 18.6
Cold Wave
$6,236
Score: 20.7
Hurricane
$6,146
Score: 47.4
Ice Storm
$5,953
Score: 50.3
Winter Weather
$3,810
Score: 54.5
Wildfire
$203
Score: 45.9
Landslide
$1
Score: 31.9

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

🌪️High Investment

Tornado Mitigation

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

Risk Score: 54.2
💨Low Investment

Strong Wind Mitigation

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

Risk Score: 73.3
🧊Medium Investment

Hail Mitigation

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

Risk Score: 69.9
❄️Medium Investment

Ice Storm Mitigation

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

Risk Score: 50.3
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 54.5

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 McDonald