Reference: FAA Releases Updated Drone Sighting Reports (Dataset)
From the FAA:
The Federal Aviation Administration (FAA) today released an updated list of pilot, air traffic controller, law enforcement and citizen reports of potential encounters with unmanned aircraft systems (UAS) – more popularly called “drones”. The latest data cover February through September 2016.
Reports of possible drone sightings to FAA air traffic facilities continued to increase during FY 2016. There were 1,274 such reports from February through September last year, compared with 874 for the same period in 2015.
Although the data contain several reports of pilots claiming drone strikes on their aircraft, to date the FAA has not verified any collision between a civil aircraft and a civil drone. Every investigation has found the reported collisions were either birds, impact with other items such as wires and posts, or structural failure not related to colliding with an unmanned aircraft.
Safely integrating unmanned aircraft into the national airspace system is one of the FAA’s top priorities, and the agency wants to send a clear message that operating drones around airplanes and helicopters is dangerous and illegal. Unauthorized operators may be subject to stiff fines and criminal charges, including possible jail time.
Direct to Dataset: Reported UAS Sightings (August 2015-January 2016; xls)
Direct to Dataset: Reported UAS Sightings (November 2014-August 2015; xls)
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.