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GPS is used widely to determine the location of objects across the world. Getting an accurate position is a must, however, jamming signals can adversely affect the precision of received GPS signals. Thus, countermeasures are required to detect such attacks. In this paper, a new GPS jamming detection scheme is proposed to explore real-world GPS jamming incidents on air traffic data. The approach utilizes and investigates on the Automatic Dependent Surveillance-Broadcast (ADS-B) data from OpenSky receivers to detect the jamming attacks. To our knowledge, this work is the first to address GPS jamming detection based on ADS-B quality metrics. The core idea behind this scheme is based on observing the distribution of received data from aircraft under normal situation and use it later to check if there is a jamming attack. More precisely, we consider the Navigation Accuracy Category for position (NACp) parameter, whose value ranges from 0 to 15 and is indicative of the aircraft’s Estimated Position Uncertainty (EPU), as a basis to build the distribution of normal traffic across all NACp categories. In addition, we build the distribution of NaNs values of received location from aircraft for all covered OpenSky receivers at a specific location. Lastly, the distribution for each aircraft at this location is also observed and analyzed. After that, we evaluate the proposed approach by using real incidents to check its effectiveness.