Service Area Overview
Your department boundary, station locations, and overall NRI risk scores by census tract. Use the sections below to explore specific hazards, fire risk indicators, and EMS demand drivers across your service area.
Service area, population, and census tract assignments are based on department boundaries from NERIS Public. Boundary accuracy varies by jurisdiction.
Natural Hazard Risk
What this means for planning: With a risk score of 98.3 (Very High nationally), cold wave is your leading natural hazard. Focus on cold-exposure emergency response, warming center partnerships, and proactive wellness checks for vulnerable populations during extreme cold events.
Top 5 Hazards in Your Service Area
Sorted by life-safety impact. Life-safety loss uses FEMA’s Value of Statistical Life ($13.7M per fatality or 10 injuries). NRI methodology
| Hazard | Risk Score | Rating | Life-Safety Loss $/yr |
Total Loss $/yr |
|---|---|---|---|---|
| Cold Wave TOP LIFE-SAFETY HAZARD | 98.3 | Very High | $3.9M/yr | $3.9M/yr |
| Strong Wind | 86.7 | Very High | $370K/yr | $380K/yr |
| Heat Wave | 67.8 | Relatively High | $331K/yr | $332K/yr |
| Lightning | 86.2 | Very High | $168K/yr | $175K/yr |
| Tornado | 37.8 | Relatively Low | $34K/yr | $149K/yr |
How to read this map: Colors show absolute national risk levels (red = Very High nationally, green = Very Low nationally). These are objective hazard comparisons across all U.S. communities.
Historical Disaster Declarations
Your county has experienced 11 FEMA disaster declarations in the last 10 years, and 17 declarations in the last 25 years.
| Date | Type | Title |
|---|---|---|
| 2024-06-28 | Flood | SEVERE STORMS AND FLOODING |
| 2023-07-19 | Flood | SEVERE STORMS AND FLOODING |
| 2022-08-09 | Severe Storm | SEVERE STORMS, STRAIGHT-LINE WINDS, TORNADOES, AND FLOODING |
| 2022-07-08 | Severe Storm | SEVERE STORMS, STRAIGHT-LINE WINDS, TORNADOES, AND FLOODING |
| 2020-04-07 | Biological | COVID-19 PANDEMIC |
Demographics & Vulnerability
Why This Matters
Your community's demographics shape everything: from where you need smoke alarm programs to how many of your calls are EMS. The data below identifies who generates the most emergency demand, who faces the greatest barriers during emergencies, and who benefits most from targeted CRR outreach.
Age Distribution
Age drives EMS call volume (highest utilization: 65+ and especially 75+, with elevated rates also among children under 5), shapes fire safety education priorities, and determines evacuation assistance needs. The dark marker on each bar shows the national average.
Social Vulnerability Indicators
These indicators identify populations that need additional support during emergencies, face barriers to self-evacuation or medical access, and benefit most from proactive CRR programming.
| Vulnerability Factor | Your Community | Peer Average | National Average | vs. Peers |
|---|---|---|---|---|
| Disability Rate Higher EMS utilization, evacuation assistance needs, accessible communication requirements |
17.5% | 15.7% | 13.4% | ≈ average |
| Poverty Rate Economic barrier to safety resources |
13.0% | 12.4% | 12.5% | ≈ average |
| Uninsured Rate May delay medical care, leading to emergencies |
3.5% | 9.2% | 8.3% | 2.7x lower |
| Limited English Households Language barrier to emergency communication |
0.1% | 0.6% | 4.3% | 4.2x lower |
| No Vehicle Access Evacuation risk; higher EMS transport dependence |
4.6% | 5.1% | 8.7% | ≈ average |
| No Internet Access Disconnected from digital emergency alerts |
10.5% | 12.9% | 6.7% | slightly lower |
Economic Context
Fire Risk Factors
What this means for planning: 31.3% of housing units are vacant, 3.0x higher the national average. Vacant properties have elevated fire risk due to lack of maintenance, unauthorized access, and delayed detection. Work with code enforcement on vacant property inspections and securing abandoned structures.
How to read this map: Colors show relative risk within your jurisdiction (red = highest-need tracts, green = lowest-need). Check the table below for overall levels vs. peers and national averages.
| Risk Factor | Your Community | Peer Average | National Average | vs. Peers |
|---|---|---|---|---|
| Pre-1980 Housing Pre-1980 construction standards |
53.1% | 44.0% | 36.3% | slightly higher |
| Wood Heating Wood stoves and fireplaces as primary heat |
8.8% | 6.3% | 1.4% | slightly higher |
| Vacancy Rate Vacant properties at higher fire risk |
31.3% | 19.7% | 10.3% | 1.6x higher |
| Mobile Homes Structural fire spread risk |
9.8% | 10.7% | 5.8% | ≈ average |
| Renter-Occupied Higher turnover, variable maintenance |
14.6% | 21.7% | 34.7% | slightly lower |
EMS Risk Factors
EMS typically accounts for 60-80% of fire department call volume nationally. The demographics below are the strongest predictors of where that demand comes from in your service area.
What this means for planning: 27.3% of residents are over 65. Older populations typically have higher EMS utilization rates. Consider community paramedicine programs for wellness checks, medication management support, and fall prevention education.
How to read this map: Colors show relative risk within your jurisdiction (red = highest-need tracts, green = lowest-need). Check the table below for overall levels vs. peers and national averages.
| Risk Factor | Your Community | Peer Average | National Average | vs. Peers |
|---|---|---|---|---|
| Population 65+ Highest EMS utilization group |
27.3% | 22.4% | 17.4% | slightly higher |
| Disability Rate Higher EMS utilization, specialized assistance needs |
17.5% | 15.7% | 13.4% | ≈ average |
| No Vehicle Access Evacuation risk; higher EMS transport dependence |
4.6% | 5.1% | 8.7% | ≈ average |
| Uninsured Rate May delay care, leading to emergencies |
3.5% | 9.2% | 8.3% | 2.7x lower |
| Poverty Rate Economic barrier to healthcare access |
13.0% | 12.4% | 12.5% | ≈ average |
Peer Comparison
Departments similar to yours in size, type, density class, and region. Peer benchmarks contextualize your community risk profile and support “demonstrated need” narratives in grant applications.
| Department | State | Population | Risk Score | 65+ % | Poverty % | Stations |
|---|---|---|---|---|---|---|
| Goodland Township Fire Department (You) | MN | 14,514 | 74.7 | 27.3% | 13.0% | 1 |
| Taconite Fire Department | MN | 14,514 | 74.7 | 27.3% | 13.0% | 2 |
| Houston Rural Fire Association | MO | 10,953 | 73.9 | 22.5% | 19.7% | 1 |
| K.A.W. Fire Protection District | MO | 14,646 | 81.6 | 20.6% | 10.5% | 3 |
| Licking Volunteer Fire Department | MO | 16,333 | 74.9 | 20.4% | 20.4% | 1 |
Your Community Risk Profile Is Half the Story
This page shows what your community faces. Connecting your NERIS data shows the other half: where response is slowest in your highest-risk areas, whether you're meeting NFPA benchmarks, and how your CRR investments are performing against actual demand.
Start Your Free 30-Day Trial