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 95.8 (Very High nationally), tornado is your leading natural hazard. Focus on rapid damage assessment, search and rescue in collapsed structures, and coordination with emergency management on warning systems and community shelter locations.
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 |
|---|---|---|---|---|
| Tornado TOP LIFE-SAFETY HAZARD | 95.8 | Very High | $1.1M/yr | $2.5M/yr |
| Cold Wave | 87.9 | Very High | $699K/yr | $1.0M/yr |
| Heat Wave | 78.4 | Relatively High | $368K/yr | $374K/yr |
| Lightning | 81.5 | Very High | $209K/yr | $217K/yr |
| Strong Wind | 89.4 | Very High | $148K/yr | $348K/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 8 FEMA disaster declarations in the last 10 years, and 34 declarations in the last 25 years.
| Date | Type | Title |
|---|---|---|
| 2021-09-01 | Severe Storm | SEVERE STORMS, STRAIGHT-LINE WINDS, TORNADOES, AND FLOODING |
| 2020-03-26 | Biological | COVID-19 PANDEMIC |
| 2020-03-13 | Biological | COVID-19 |
| 2019-07-09 | Severe Storm | SEVERE STORMS, TORNADOES, AND FLOODING |
| 2019-05-20 | Flood | SEVERE STORMS, STRAIGHT-LINE WINDS, AND FLOODING |
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 |
13.2% | 12.7% | 13.4% | ≈ average |
| Poverty Rate Economic barrier to safety resources |
9.1% | 7.1% | 12.5% | slightly higher |
| Uninsured Rate May delay medical care, leading to emergencies |
8.4% | 6.1% | 8.3% | slightly higher |
| Limited English Households Language barrier to emergency communication |
0.5% | 0.4% | 4.3% | slightly higher |
| No Vehicle Access Evacuation risk; higher EMS transport dependence |
2.7% | 3.2% | 8.7% | slightly lower |
| No Internet Access Disconnected from digital emergency alerts |
14.5% | 9.2% | 6.7% | 1.6x higher |
Economic Context
Fire Risk Factors
What this means for planning: Focus fire prevention efforts on cooking safety (leading cause of home fires), heating equipment safety, electrical hazards, and smoke alarm installation programs. Target education toward renters and multi-family buildings where fire incidence is typically higher.
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 |
51.1% | 37.2% | 36.3% | slightly higher |
| Wood Heating Wood stoves and fireplaces as primary heat |
6.9% | 4.0% | 1.4% | 1.7x higher |
| Vacancy Rate Vacant properties at higher fire risk |
10.8% | 10.1% | 10.3% | ≈ average |
| Mobile Homes Structural fire spread risk |
10.2% | 5.3% | 5.8% | 1.9x higher |
| Renter-Occupied Higher turnover, variable maintenance |
19.0% | 14.3% | 34.7% | slightly higher |
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: 22.1% 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 |
22.1% | 20.1% | 17.4% | ≈ average |
| Disability Rate Higher EMS utilization, specialized assistance needs |
13.2% | 12.7% | 13.4% | ≈ average |
| No Vehicle Access Evacuation risk; higher EMS transport dependence |
2.7% | 3.2% | 8.7% | slightly lower |
| Uninsured Rate May delay care, leading to emergencies |
8.4% | 6.1% | 8.3% | slightly higher |
| Poverty Rate Economic barrier to healthcare access |
9.1% | 7.1% | 12.5% | slightly higher |
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 |
|---|---|---|---|---|---|---|
| Bolckow Fire Protection District (You) | MO | 12,722 | 85.4 | 22.1% | 9.1% | 1 |
| Osborn Fire Protection District | MO | 12,244 | 90.5 | 20.9% | 10.1% | 1 |
| Murdock Volunteer Fire Department | NE | 14,335 | 83.4 | 17.9% | 5.9% | 1 |
| Wellsville Fire District | KS | 9,326 | 82.7 | 21.4% | 7.7% | 2 |
| Wood Heights Fire Protection District | MO | 8,267 | 86 | 19.5% | 10.0% | 2 |
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.
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