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Aviation Fuel Cost Analysis – AirNav Data (June 2025)

Based on the data from AirNav's fuel report covering May 20 - June 23, 2025, here's a comprehensive analysis of aviation fuel costs across the United States:

Key Findings

1. National Average Prices (per gallon):

  • 100LL Avgas: $6.02
  • Jet A: $5.60
  • Mogas (auto gas): $4.91

2. Regional Price Leaders:

  • Most Expensive: Alaska ($9.58 for 100LL, $7.61 for Jet A)
  • Most Affordable: Central region ($5.67 for 100LL, $4.98 for Jet A)

3. Market Coverage:

  • 100LL Avgas: 3,501 FBOs reporting (excellent coverage)
  • Jet A: 2,580 FBOs reporting (good coverage)
  • Mogas: Only 70 FBOs reporting (limited availability)

Regional Analysis

Premium Markets (Above National Average):

  • Alaska: $9.58 (100LL) - 69% above national average
  • New England: $6.59 (100LL)
  • Eastern: $6.46 (100LL)
  • Western-Pacific: $6.45 (100LL)

Value Markets (Below National Average):

  • Central: $5.67 (100LL), $4.98 (Jet A)
  • Southwest: $5.67 (100LL), $5.15 (Jet A)
  • Great Lakes: $5.84 (100LL), $5.34 (Jet A)

Price Volatility

The data shows significant price spreads within regions:

  • Highest volatility: Alaska (100LL spread of $8.20)
  • Most stable: Northwest Mountain (100LL spread of $4.70)
  • National extremes: 100LL ranges from $3.96 to $15.00

Market Insights

  1. Alaska's Premium Pricing: Reflects the logistical challenges and remote location, with aviation fuel costs significantly higher than the continental US.
  2. Fuel Type Premiums:
    • 100LL commands a 22.6% premium over mogas
    • Jet A has a 14.1% premium over mogas
  3. Limited Mogas Availability: Only 70 FBOs nationwide offer automotive gasoline, indicating it's not a mainstream option for aviation.
  4. Market Concentration: The Great Lakes and Southern regions dominate market share, representing nearly 40% of all FBOs reporting 100LL prices.

This data represents current market conditions and would be valuable for flight planning, fuel budgeting, and understanding regional aviation fuel economics. The data was analyzed using Claude Sonnet 4.