Imagine being an aviation data analyst needing to quickly grasp critical information about Kenora Airport in Canada. Simply knowing airport codes isn't enough—you need deeper operational insights, geographical context, and relevant resources to make effective decisions. This analysis provides a comprehensive professional perspective on Kenora Airport (YQK/CYQK), delivering the data support aviation professionals require.
Airport Codes and Basic Information: Data Overview
Kenora Airport, identified by its IATA code YQK and ICAO code CYQK, serves as a vital aviation hub in Northwestern Ontario, Canada. These codes represent the airport's identity and form the foundation for aviation data exchange. Other essential baseline information includes:
- Airport Name: Kenora Airport
- Country: Canada
- Elevation: 1,332 feet (406 meters) - a critical factor for flight planning and performance calculations affecting takeoff and landing operations
- Geographic Coordinates: Latitude 49° 47' 17.88" N, Longitude 94° 21' 47.15" W - precise location data essential for navigation systems, cartography, and geographic information systems (GIS)
Geographic Positioning and Regional Impact: Spatial Data Analysis
Kenora Airport's strategic location makes it a crucial connector between Northwestern Ontario and other Canadian regions, with potential international reach. Spatial analysis reveals important operational context:
- Service Area Demographics: Understanding population distribution, economic conditions, and transportation networks in Kenora and surrounding areas helps assess passenger and cargo potential
- Competitive Landscape: Analyzing nearby airports (like Winnipeg International Airport) enables development of differentiated service strategies
- Terrain Considerations: Surrounding topography including lakes and forests influences flight paths and weather patterns, impacting operational safety
Operational Metrics and Performance Indicators: Quantitative Analysis
Key performance indicators (KPIs) provide measurable insights into airport operations:
- Flight Movements: Daily/weekly/monthly aircraft movements indicate operational tempo and efficiency, with trend analysis enabling demand forecasting
- Passenger Volume: Traffic analysis by domestic/international segments informs targeted marketing approaches
- Cargo Throughput: Commodity-specific freight data (perishables, electronics etc.) guides cargo business development
- On-Time Performance: Delay pattern analysis identifies operational bottlenecks for process improvement
- Safety Metrics: Incident rate tracking and root cause analysis enhances safety protocols
Data-Driven Recommendations for Airport Management
From an analytical perspective, several strategic recommendations emerge:
- Enhanced Data Infrastructure: Implement comprehensive data collection systems for operational metrics, paired with advanced analytics tools
- Process Optimization: Use data insights to streamline flight scheduling, baggage handling, and security screening
- Service Diversification: Expand into adjacent aviation services like cargo operations, aircraft maintenance, and pilot training
- Safety Enhancements: Strengthen security screening, emergency response protocols, and fire prevention measures
- Passenger Experience: Upgrade terminal facilities, ground transportation options, and concession offerings
This analysis demonstrates that effective airport management requires moving beyond basic identifiers to understand geographical context, operational patterns, and performance metrics. For aviation professionals, such comprehensive data forms the foundation for strategic decision-making and operational excellence in Northwestern Ontario's aviation network.