Unincorporated, MT (59212) Cold Wave & Climate Risk Profile

The primary drivers of climate-related financial risk in Unincorporated, MT (59212) are Cold Wave, Inland Flooding, and Strong Wind. This area also faces an unusually high intensity for Winter Weather, Wildfire, Ice Storm, and Drought 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 59212

FEMA Flood Maps for 59212 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 Low
Relative Vulnerability
$263,449
Annualized Property Exposure

Primary Risks

Cold Wave

$589,089

Expected Annual Loss for Zip Code 59212

98.6Score

Very High compared to US average

Inland Flooding

$263,449

Expected Annual Loss for Zip Code 59212

30.9Score

Relatively Low compared to US average

Strong Wind

$80,049

Expected Annual Loss for Zip Code 59212

93.1Score

Relatively High compared to US average

Financial Risk Inventory

MAJOR DRIVER
Cold Wave
$589,089
Score: 98.6
MAJOR DRIVER
Inland Flooding
$263,449
Score: 30.9
MAJOR DRIVER
Strong Wind
$80,049
Score: 93.1
Tornado
$47,410
Score: 52.6
Hail
$24,253
Score: 78.7
UNUSUALLY HIGH
Winter Weather
$23,830
Score: 97.0
UNUSUALLY HIGH
Wildfire
$19,596
Score: 89.9
Heat Wave
$17,156
Score: 37.0
UNUSUALLY HIGH
Ice Storm
$13,202
Score: 84.0
Lightning
$4,742
Score: 36.9
UNUSUALLY HIGH
Drought
$4,019
Score: 86.0
Earthquake
$950
Score: 7.9
Landslide
$21
Score: 72.5

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: 98.6
💧Medium Investment

Inland Flooding Mitigation

Install a smart sump pump with battery backup and extend downspouts 10ft from foundation.

Risk Score: 30.9
💨Low Investment

Strong Wind Mitigation

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

Risk Score: 93.1
🏠Low Investment

Winter Weather Mitigation

General property maintenance and insurance review recommended.

Risk Score: 97.0
🔥Low Investment

Wildfire Mitigation

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

Risk Score: 89.9
❄️Medium Investment

Ice Storm Mitigation

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

Risk Score: 84.0
🏠Low Investment

Drought Mitigation

General property maintenance and insurance review recommended.

Risk Score: 86.0

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