Climate Risk Summary

Mohawk, NY Risk Profile

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

City-Wide Aggregation

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

Primary Risks

Inland Flooding

$671,163

Expected Annual Loss for Mohawk

59.0Score

Relatively Moderate compared to US average

Mohawk
Minimal Estimated LossMax Estimated Loss

Tornado

$30,434

Expected Annual Loss for Mohawk

37.7Score

Relatively Low compared to US average

Mohawk
Minimal Estimated LossMax Estimated Loss

Cold Wave

$24,647

Expected Annual Loss for Mohawk

34.9Score

Relatively Low compared to US average

Mohawk
Minimal Estimated LossMax Estimated Loss

City Boundary

Legend
Very Low
Low
Moderate
High
Very High
Extreme

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$671,163
Score: 59.0
MAJOR DRIVER
Tornado
$30,434
Score: 37.7
MAJOR DRIVER
Cold Wave
$24,647
Score: 34.9
Lightning
$10,079
Score: 46.8
Strong Wind
$8,889
Score: 34.4
Hurricane
$7,951
Score: 50.9
Earthquake
$7,012
Score: 23.0
Heat Wave
$6,520
Score: 8.3
Ice Storm
$6,491
Score: 59.1
Winter Weather
$5,692
Score: 69.9
Hail
$2,182
Score: 31.5
Wildfire
$146
Score: 44.7
Landslide
$1
Score: 38.2

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: 59.0
🌀High Investment

Hurricane Mitigation

Install permanent hurricane shutters or upgrade to impact-resistant windows.

Risk Score: 50.9
❄️Medium Investment

Ice Storm Mitigation

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

Risk Score: 59.1
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 69.9

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

Nearby Cities

Zip Codes in Mohawk