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 98.7 (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
-
Cold Wave
98.7 Risk Score Very High
-
Winter Weather
98.3 Risk Score Very High
-
Landslide
95.5 Risk Score Very High
-
Wildfire
92.3 Risk Score Very High
-
Volcanic
80.2 Risk Score Very High
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 58 FEMA disaster declarations in the last 10 years, and 99 declarations in the last 25 years.
| Date | Type | Title |
|---|---|---|
| 2025-10-22 | Flood | SEVERE STORMS, FLOODING, AND REMNANTS OF TYPHOON HALONG |
| 2025-07-06 | Fire | NENANA RIDGE COMPLEX |
| 2025-06-23 | Fire | BEAR CREEK FIRE |
| 2025-01-15 | Severe Storm | SEVERE STORM AND FLOODING |
| 2023-08-23 | Flood | 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 |
13.1% | 14.7% | 13.4% | ≈ average |
| Poverty Rate Economic barrier to safety resources |
26.3% | 10.4% | 12.4% | 2.5x higher |
| Uninsured Rate May delay medical care, leading to emergencies |
14.3% | 8.2% | 8.2% | 1.7x higher |
| Limited English Households Language barrier to emergency communication |
1.1% | 2.7% | 4.2% | 2.5x lower |
| No Vehicle Access Transport-dependent for evacuation |
61.8% | 4.2% | 8.5% | 14.6x higher |
| No Internet Access Disconnected from digital emergency alerts |
17.0% | 5.9% | 6.6% | 2.9x higher |
Economic Context
Fire Risk Factors
What this means for planning: 96.9% of households use high-risk heating fuels (wood, fuel oil, coal). Prioritize public education on heating safety, chimney inspections, proper fuel storage, and clearance around heating equipment. Partner with code enforcement on rental property inspections during heating season.
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 |
33.2% | 28.0% | 36.0% | slightly higher |
| High-Risk Heating Wood, fuel oil, coal |
96.9% | 18.3% | 5.7% | 5.3x higher |
| Vacancy Rate Vacant properties at higher fire risk |
44.3% | 14.6% | 10.3% | 3.0x higher |
| Mobile Homes Structural fire spread risk |
1.0% | 10.8% | 5.8% | 11.3x lower |
| Renter-Occupied Higher turnover, variable maintenance |
29.8% | 26.3% | 34.4% | ≈ average |
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: 61.8% of households lack vehicle access — 7.3x higher the national average. High rates of transport dependence correlate with increased EMS demand. Consider community paramedicine programs, partnerships with social services and Medicaid transport providers, and advocacy for non-emergency medical transport alternatives.
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 |
10.8% | 18.3% | 17.4% | 1.7x lower |
| Disability Rate Higher EMS utilization, specialized assistance needs |
13.1% | 14.7% | 13.4% | ≈ average |
| No Vehicle Access Transport-dependent for medical access |
61.8% | 4.2% | 8.5% | 14.6x higher |
| Uninsured Rate May delay care, leading to emergencies |
14.3% | 8.2% | 8.2% | 1.7x higher |
| Poverty Rate Economic barrier to healthcare access |
26.3% | 10.4% | 12.4% | 2.5x higher |
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 |
|---|---|---|---|---|---|---|
| Dillingham Volunteer Fire Department And Rescue Squad (You) | AK | 23,279 | 94.4 | 10.8% | 26.3% | 1 |
| Gakona Volunteer Fire Department | AK | 18,795 | 98.8 | 17.0% | 8.8% | 2 |
| Cooper Landing Volunteer Fire Department | AK | 12,588 | 99.9 | 22.3% | 6.3% | 1 |
| Monitor Rural Fire Protection District #58 | OR | 17,134 | 93.9 | 17.6% | 12.7% | 2 |
| Grant County Fire Protection District 13 | WA | 18,622 | 56.7 | 15.2% | 17.3% | 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