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 77.7 (Relatively High nationally), hail is your leading natural hazard. Prepare for storm damage response, coordinate with emergency management on severe weather warning systems, and focus on protecting exposed populations during events.
Top 5 Hazards in Your Service Area
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Hail
77.7 Risk Score Relatively High
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Winter Weather
69.3 Risk Score Relatively High
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Ice Storm
68 Risk Score Relatively High
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Strong Wind
63.4 Risk Score Relatively High
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Lightning
51.6 Risk Score Relatively Moderate
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 2 FEMA disaster declarations in the last 10 years, and 7 declarations in the last 25 years.
| Date | Type | Title |
|---|---|---|
| 2020-03-31 | Biological | COVID-19 PANDEMIC |
| 2020-03-13 | Biological | COVID-19 |
| 2012-06-30 | Severe Storm | SEVERE STORMS |
| 2005-09-13 | Hurricane | HURRICANE KATRINA EVACUATION |
| 2005-02-15 | Severe Storm | SEVERE WINTER STORMS, FLOODING, AND MUDSLIDES |
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 |
16.3% | 14.0% | 13.4% | slightly higher |
| Poverty Rate Economic barrier to safety resources |
11.3% | 9.9% | 12.4% | ≈ average |
| Uninsured Rate May delay medical care, leading to emergencies |
7.7% | 4.7% | 8.2% | 1.7x higher |
| Limited English Households Language barrier to emergency communication |
2.5% | 0.5% | 4.2% | 4.8x higher |
| No Vehicle Access Transport-dependent for evacuation |
4.5% | 4.0% | 8.5% | ≈ average |
| No Internet Access Disconnected from digital emergency alerts |
8.9% | 7.5% | 6.6% | slightly 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 |
57.1% | 42.9% | 36.0% | slightly higher |
| High-Risk Heating Wood, fuel oil, coal |
5.7% | 5.8% | 5.7% | ≈ average |
| Vacancy Rate Vacant properties at higher fire risk |
5.1% | 5.9% | 10.3% | ≈ average |
| Mobile Homes Structural fire spread risk |
5.8% | 8.3% | 5.8% | slightly lower |
| Renter-Occupied Higher turnover, variable maintenance |
32.3% | 16.5% | 34.4% | 2.0x 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: Your community demographics suggest moderate EMS demand. Focus on efficient response protocols, NFPA compliance tracking, and community paramedicine programs to expand your role in public health and preventive care.
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 |
19.0% | 20.4% | 17.4% | ≈ average |
| Disability Rate Higher EMS utilization, specialized assistance needs |
16.3% | 14.0% | 13.4% | slightly higher |
| No Vehicle Access Transport-dependent for medical access |
4.5% | 4.0% | 8.5% | ≈ average |
| Uninsured Rate May delay care, leading to emergencies |
7.7% | 4.7% | 8.2% | 1.7x higher |
| Poverty Rate Economic barrier to healthcare access |
11.3% | 9.9% | 12.4% | ≈ average |
Critical Infrastructure Protected
Hospitals, schools, nursing homes, and childcare centers require pre-incident plans and specialized evacuation protocols. These counts go directly into AFG/SAFER grant narratives and CPSE/CFAI Standards of Cover documentation.
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 |
|---|---|---|---|---|---|---|
| Orrville Fire Department (You) | OH | 11,739 | 8.7 | 19.0% | 11.3% | 2 |
| Carlisle Township Fire Department | OH | 10,660 | 18.9 | 20.8% | 13.7% | 1 |
| Butler Township Fire Department | OH | 9,509 | 19.1 | 24.2% | 9.2% | 3 |
| White Lake Fire Authority | MI | 10,049 | 9.5 | 27.0% | 10.0% | 2 |
| Egelston Township Fire Department | MI | 11,276 | 19.5 | 16.4% | 11.2% | 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.
See the Response Dashboard