Amsterdam, NY Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Amsterdam, NY are Inland Flooding, Cold Wave, and Tornado. Based on recent federal data, homeowners in this market face an estimated average annual insurance premium of $1,164, with a local policy non-renewal rate of 0.2%.

City Risk Scorecard
Physical Resilience57/100

Based on FEMA EAL and hazard intensity.

Insurance Stability
Market Stable

Metrics indicate a balanced risk-to-premium environment with standard renewal rates.

Spatial Analysis

Flood Plain Analysis

Localized Flood Dynamics in Amsterdam

FEMA Flood Maps for Amsterdam identify the "100-year" and "500-year" floodplains (1% and 0.2% annual chance), but modern climate risk analysis suggests that nearly 25% of flood insurance claims originate from properties outside of these designated high-risk zones.

Use the map above to better understand risk by looking at both the FEMA flood plain maps and FEMA Risk Inventory maps by census tract. Standard FEMA maps may not account for 'flash flooding' from intense rain events.
FEMA Designation vs. Reality
Relatively High
Relative Vulnerability
$4,745,685
Annualized Property Exposure

Insurance Market & Climate Stress Analysis

Current Avg. Premium (2022)

$1,164
Latest Market Rate

Recent Year Change

+0.4%
YoY Increase

2030 Forecast

$1,301
Based on 1.4% CAGR

Market Retreat (Non-Renewals)

0.17%

Higher rates indicate insurers are actively reducing exposure to Amsterdam due to climate-linked risk.

Underwriting Stress (Loss Ratio)

37.0%

A ratio over 70% suggests insurers are paying out nearly all premiums as claims, forcing future price hikes.

Historical Market Trends

Toggle series below to compare costs vs. market stress indicators

Historical Trends & Forecasting

Compare premium costs against underlying risk factors.

Primary Risks

Inland Flooding

$4,745,685

Expected Annual Loss for Amsterdam

48.7Score

Relatively High compared to US average

Cold Wave

$394,214

Expected Annual Loss for Amsterdam

54.5Score

Relatively Moderate compared to US average

Tornado

$256,686

Expected Annual Loss for Amsterdam

41.5Score

Relatively Low compared to US average

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$4,745,685
Score: 48.7
MAJOR DRIVER
Cold Wave
$394,214
Score: 54.5
MAJOR DRIVER
Tornado
$256,686
Score: 41.5
Hurricane
$91,426
Score: 54.4
Strong Wind
$84,525
Score: 43.0
Lightning
$82,862
Score: 53.2
Earthquake
$65,627
Score: 27.3
Heat Wave
$51,969
Score: 10.5
Hail
$43,108
Score: 48.9
Winter Weather
$31,997
Score: 65.5
Ice Storm
$27,291
Score: 45.7
Landslide
$836
Score: 78.0
Wildfire
$160
Score: 26.6

Recommended Mitigation Strategies

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: 54.5
🌀High Investment

Hurricane Mitigation

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

Risk Score: 54.4
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 53.2
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 65.5
⛰️High Investment

Landslide Mitigation

Professional slope stabilization and foundation drainage inspection is highly recommended.

Risk Score: 78.0

Sources and Methodology

Spatial Climate Risk Modeling

The Expected Annual Loss (EAL) and hazard risk scores are derived from the FEMA NRI zip code dataset using a population-weighted spatial join. Because Zip Codes and Census Tracts do not share perfectly aligned boundaries, we utilize US Census Block Group population centroids to identify where residents actually live.

Financial & Insurance Metrics

The pysical resilence score is calculated by synthesizing Expected Annual Loss (EAL) against the total building replacement value within a jurisdiction. This creates a "Loss Ratio" that measures physical resilience. We supplement this with ZIP-code level data from the U.S. Treasury's Federal Insurance Office (FIO), monitoring trends in premium growth, loss ratios, and policy non-renewals to identify emerging "Insurance Deserts."

Primary Data Sources

Nearby Cities

Zip Codes in Amsterdam