Climate Risk Summary

Hamburg, NY Risk Profile

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

City-Wide Aggregation

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

Primary Risks

Inland Flooding

$1,187,777

Expected Annual Loss for Hamburg

53.9Score

Relatively High compared to US average

Hamburg
Minimal Estimated LossMax Estimated Loss

Cold Wave

$256,778

Expected Annual Loss for Hamburg

73.1Score

Relatively High compared to US average

Hamburg
Minimal Estimated LossMax Estimated Loss

Tornado

$102,589

Expected Annual Loss for Hamburg

47.8Score

Relatively Moderate compared to US average

Hamburg
Minimal Estimated LossMax Estimated Loss

City Boundary

Legend
Very Low
Low
Moderate
High
Very High
Extreme

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$1,187,777
Score: 53.9
MAJOR DRIVER
Cold Wave
$256,778
Score: 73.1
MAJOR DRIVER
Tornado
$102,589
Score: 47.8
Heat Wave
$21,400
Score: 18.1
Earthquake
$12,378
Score: 23.9
Winter Weather
$12,163
Score: 71.0
Ice Storm
$11,559
Score: 55.9
Strong Wind
$10,688
Score: 27.4
Lightning
$8,474
Score: 27.5
Hurricane
$4,904
Score: 41.9
Wildfire
$973
Score: 59.1
Hail
$913
Score: 13.9
Landslide
$0
Score: 20.2

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: 53.9
🏠Low Investment

Cold Wave Mitigation

General property maintenance and insurance review recommended.

Risk Score: 73.1
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 71.0
❄️Medium Investment

Ice Storm Mitigation

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

Risk Score: 55.9
🔥Low Investment

Wildfire Mitigation

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

Risk Score: 59.1

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 Hamburg

Climate Risk Analysis for Hamburg, NY