GAA16CA230
2016-05-11 · Keene, New Hampshire, United States · Minor · 1 aircraft · Status: Completed
Airport EEN
N220RG has since been reassigned. It is now registered to a different aircraft (CIRRUS DESIGN SR22T, built 2024), which was not involved in this event.
Aircraft involved
Probable cause & findings
The airplane striking a deer during the landing roll, resulting in a loss of directional control, runway excursion, and subsequent nose over.
Factual narrative
According to the flight instructor, during the landing roll, two deer ran on to the runway. He reported that the airplane struck one of the deer, exited the right side of the runway and nosed over. The airplane sustained substantial damage to vertical stabilizer and rudder. The flight instructor reported that there were not any pre-accident mechanical failures or anomalies with the airplane that would have precluded normal operation prior to the accident. The pilot did not submit the 6120 Report of Aircraft accident Form as requested by the investigator. The comments section of the FAA Airport Facilities Directory for the accident airport includes the comment: WILDLIFE ON & INVOF (in vicinity of) ARPT. According to the flight instructor, during the landing roll, two deer ran on to the runway. He reported that the airplane struck one of the deer, exited the right side of the runway and nosed over. The airplane sustained substantial damage to vertical stabilizer and rudder. The flight instructor reported that there were not any pre-accident mechanical failures or anomalies with the airplane that would have precluded normal operation prior to the accident. The pilot did not submit the 6120 Report of Aircraft accident Form as requested by the investigator. The comments section of the FAA Airport Facilities Directory for the accident airport includes the comment: WILDLIFE ON & INVOF (in vicinity of) ARPT. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Attain/maintain not possible - C
- C Environmental issues-Physical environment-Object/animal/substance-Animal(s)/bird(s)-Ability to respond/compensate - C
Verbatim from NTSB's published report. Source file
NTSB_2016_GAA16CA230.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
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Related research
Matched on aircraft type or causal vocabulary (runway excursion). All research papers
- SKYbrary (Eurocontrol) 2024 · SKYbrary article Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- NASA NTRS 2025 · Presentation Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Flight Safety Foundation 2024 · FSF / AeroSafety World Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…