Butte-Silver Bow (balance), MT (59727) Flooding & Climate Risk Profile

The primary drivers of climate-related financial risk in Butte-Silver Bow (balance), MT (59727) are Inland Flooding, Cold Wave, and Wildfire. This area also faces an unusually high intensity for Earthquake, Winter Weather, Lightning, and Landslide compared to national averages.

Understanding the Dollars

Expected Annual Loss (EAL) is a statistical average of property damage for this entire zip code over a standard year across all properties.

  • / It represents the "average cost" rather than a guaranteed yearly bill.
  • / It can be used to compare the relative risk from different hazards and across different neighborhoods.

Zip Code Risk Map

Flood Plain Analysis

Localized Flood Dynamics in 59727

FEMA Flood Maps for 59727 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 Moderate
Relative Vulnerability
$212,425
Annualized Property Exposure

Primary Risks

Inland Flooding

$212,425

Expected Annual Loss for Zip Code 59727

63.0Score

Relatively Moderate compared to US average

Cold Wave

$174,626

Expected Annual Loss for Zip Code 59727

96.9Score

Very High compared to US average

Wildfire

$98,161

Expected Annual Loss for Zip Code 59727

97.5Score

Relatively High compared to US average

Financial Risk Inventory

MAJOR DRIVER
Inland Flooding
$212,425
Score: 63.0
MAJOR DRIVER
Cold Wave
$174,626
Score: 96.9
MAJOR DRIVER
Wildfire
$98,161
Score: 97.5
UNUSUALLY HIGH
Earthquake
$78,775
Score: 82.5
UNUSUALLY HIGH
Winter Weather
$20,745
Score: 99.2
UNUSUALLY HIGH
Lightning
$15,671
Score: 93.3
UNUSUALLY HIGH
Landslide
$14,396
Score: 99.4
Hail
$6,790
Score: 72.1
Strong Wind
$3,248
Score: 39.9
Tornado
$3,234
Score: 24.6
Heat Wave
$1,311
Score: 5.6
Ice Storm
$485
Score: 23.5
Drought
$106
Score: 76.3
Avalanche
$76
Score: 26.9

Recommended Mitigation Strategies

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: 63.0
🏠Low Investment

Cold Wave Mitigation

General property maintenance and insurance review recommended.

Risk Score: 96.9
🔥Low Investment

Wildfire Mitigation

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

Risk Score: 97.5
🏠Low Investment

Earthquake Mitigation

General property maintenance and insurance review recommended.

Risk Score: 82.5
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 99.2
🏠Low Investment

Lightning Mitigation

General property maintenance and insurance review recommended.

Risk Score: 93.3
⛰️High Investment

Landslide Mitigation

Professional slope stabilization and foundation drainage inspection is highly recommended.

Risk Score: 99.4

Methodology and Sources

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 Locations