FTW03LA095
2003-02-09 · Lockhart, Texas, United States · Minor · 1 aircraft · Status: Completed
Airport 50R
N25324 has since been reassigned. It is now registered to a different aircraft (PIPER PA46-500TP, built 2013), which was not involved in this event.
Aircraft involved
Probable cause & findings
The pilot's failure to compensate for the existing wind conditions. A contributing factor was the prevailing crosswind.
Factual narrative
On February 9, 2003, at approximately 1115 central standard time, a Cessna 152 single-engine airplane, N25324, registered to and operated by Stenger Air Services of Lockhart, Texas, was substantially damaged following a loss of control while landing on Runway 18 at the Lockhart Municipal Airport (50R), near Lockhart, Texas. The solo student pilot, who was the sole occupant, sustained minor injuries. Visual meteorological conditions prevailed and a flight plan was not filed for the Title 14 Code of Federal Regulations Part 91 instructional flight. The local flight originated at 1100 from 50R. Despite attempts made by the Investigator-In-Charge to obtain a completed Pilot/Operator Aircraft Accident Report (NTSB Form 6120.1/2) from the pilot, a completed form was not obtained. According to information provided by a FAA inspector, the 20-hour student pilot was on his first solo flight performing touch and go landings. As the airplane touched down on Runway 18, it immediately veered left into the grass, became slightly airborne, and struck a small house, resulting in structural damage. The house was located just off airport property. The Runway 18 was 4,000 feet long by 75 feet wide. At the time of the accident, the winds were 230 degrees at 10 knots. The pilot lost control while landing on Runway 18. The 20-hours student pilot was on his first solo flight performing touch and go landings. As the airplane touched down, it immediately veered left into the grass, became slightly airborne, and struck a small house, resulting in structural damage. The house was located just off airport property. At the time of the accident, the winds were 230 degrees at 10 knots. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2003_FTW03LA095.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
Matched on aircraft type or causal vocabulary (loss of control). All research papers
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER) A Scoping Review of Aviation Loss of Control Inflight Research
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- SKYbrary (Eurocontrol) 2024 · SKYbrary article Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- Semantic Scholar 2024 · Article (International Conference on Networking and Services) Risk Assessment of Loss of Control In-Flight Trajectories for Urban Air Mobility Safety
In Urban Air Mobility (UAM), maintaining a minimum separation between aircraft is a safety requirement, which becomes challenging amidst congested air traffic and off-nominal conditions, such as Loss …
- NTSB Aircraft Accident Reports 2022 · Accident report Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation) ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.