The Federal Aviation Administration’s 42nd annual General
Aviation and Part 135 Activity Survey (GA Survey) is now underway, reporting on
calendar year 2019. The GA Survey is the only source of information on the
general aviation fleet, the number of hours flown, and the ways people use
general aviation aircraft. Please help our industry and aviation in general by
providing accurate information to the FAA.
If you are selected to participate in this year’s survey,
you will receive either an email or postcard invitation to complete the GA
Survey soon. You may complete the survey online, or a survey form will be
mailed to you along with a postage-paid envelope. Your participation is
voluntary, but the aerial application industry needs your help. NAAA encourages
everyone who is contacted to respond to the survey so that agricultural
aviation activity is accurately represented. Please respond even if you did not
fly your aircraft during 2019, sold it, or if the aircraft was damaged.
Data from this survey are used by governmental agencies and
industry to:
- Compute safety metrics, such as fatal
accidents rates
- Understand the impact of the GA industry on
jobs, economic output, and investments in aviation infrastructure
- Track the success of safety initiatives,
including avionics recommendations
- Determine funding for infrastructure and
service needs
- Assess the impact of regulatory changes
Of particular importance to the aerial application industry
is using the GA survey data to calculate an accurate accident rate for our
industry, which is valuable for demonstrating the continuously improving safety
of aerial application. To do that, the FAA needs an accurate tally of the hours
flown in 2019. It only takes 10-15 minutes to complete the survey, which you
can do online or on a survey form that will be mailed to you with a
postage-paid envelope. Or, call Tetra Tech toll-free at 1-800-826-1797. The
information is confidential and will only be used for statistical purposes and
will not be published or released in any form that would reveal an individual
participant.