This statistic illustrates the number of pilots active in the airline industry worldwide in 2019 and gives a projection for 2029. In 2019, there were a total of ******* active pilots working in the aviation industry.

It is widely known that there is a pilot shortage in the United States – a view seemingly supported by the figures: by 2016 there were only around ******* pilots in the U.S. from over ******* in 1990. This figure has climbed slightly in recent years though, reaching ******* in 2020. U.S. pilot certification types Federal Aviation Administration (FAA) pilot certifications can be broadly divided into three categories: students, private use (generally) without compensation, which includes several license types covering sport, recreation and personal business; and licenses which allow pilots to transport passengers commercially, either with some restrictions (‘Commercial Pilot’) or without (‘Airline Transport Pilot’). Military pilots are not included, but can apply to the FAA to have their military qualifications recognized. Reasons for the shortageOne common reason cited for the shortage in pilots is the decline in wages following the deregulation of the industry from the late 1970s. This has led to fewer recruits, with the number of student pilots falling sharply between 1990 and 2009. Although student numbers have started increasing again in recent years, there is a question over whether this will be sufficient. In 2020, the number of pilots aged over 45 was around ******, while the demand for air travel has been growing strongly and consistently over the last decade. In total, it is estimated that around ****** additional pilots will be needed across the Americas between 2019 and 2029.

The Faroese have accurate statistics of whale catches dating back to 1584. These are most probably the longest continuous statistics for the use of wildlife anywhere in the world. The data collection may enable a better understanding of pilot whale population dynamics and population status, and potentially inform management decisions on pilot whale (e.g. quotas).

This statistic gives the projected number of unfilled U.S. commercial airline pilot jobs from 2016 to 2018 and gives a forecast through 2026. In 2026, there will be a pilot deficit of over ***** in the United States, as more captains are retiring and fewer young people are interested in a career in commercial aviation.

This data were collected during the Safety Pilot Model Deployment (SPMD). The data sets that these entities will provide include basic safety messages (BSM), vehicle trajectories, and various driver-vehicle interaction data, as well as contextual data that describes the circumstances under which the Model Deployment data was collected. Large portion of the data contained in this environment is obtained from on board vehicle devices and roadside units. This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

This physiological data was collected from pilot/copilot pairs in and out of a flight simulator. It was collected to train machine-learning models to aid in the detection of pilot attentive states. The benchmark training set is comprised of a set of controlled experiments collected in a non-flight environment, outside of a flight simulator. The test set (abbreviated LOFT = Line Oriented Flight Training) consists of a full flight (take off, flight, and landing) in a flight simulator. The pilots experienced distractions intended to induce one of the following three cognitive states: Channelized Attention (CA) is the state of being focused on one task to the exclusion of all others. This is induced in benchmarking by having the subjects play an engaging puzzle-based video game. Diverted Attention (DA) is the state of having one’s attention diverted by actions or thought processes associated with a decision. This is induced by having the subjects perform a display monitoring task. Periodically, a math problem showed up which had to be solved before returning to the monitoring task. Startle/Surprise (SS) is induced by having the subjects watch movie clips with jump scares. For each experiment, a pair of pilots (each with its own crew ID) was recorded over time and subjected to the CA, DA, or SS cognitive states. The training set contains three experiments (one for each state) in which the pilots experienced just one of the states. For example, in the experiment labelled CA, the pilots were either in a baseline state (no event) or the CA state. The test set contains a full flight simulation during which the pilots could experience any of the states (but never more than one at a time). Each sensor operated at a sample rate of 256 Hz. Please note that since this is physiological data from real people, there will be noise and artifacts in the data.

This statistic represents the number of certified pilots in the United States from 2008 through 2020, broken down by category. In the United States, around ******* commercial pilots held a certificate in 2020.

ITS JPO's Connected Vehicle Pilot Deployment Program integrates connected vehicle research concepts into practical and effective elements to enhance existing operational capabilities. Data were collected throughout each pilot to facilitate independent evaluations of the use of connected vehicle technology on real roadways. To encourage additional study and reuse of these data, ITS DataHub has partnered with each pilot site to make sanitized and anonymized tabular and non-tabular data from these projects available to the public. This article gives you a brief overview of what each pilot focused on and what types of CV Pilot data and tools are available on ITS DataHub.

This publication includes monthly statistics on access to, volume and quality of NHS 111 calls. It covers information on the price of the NHS 111 service, its impact on activity across the urgent and emergency care system. It will include figures on user experience every six months. Source agency: Health Designation: Official Statistics not designated as National Statistics Language: English Alternative title: 111 pilot

Airborne electromagnetic (AEM) geophysical data were collected in California as a part of AEM pilot studies. The purpose of the AEM pilot studies was to inform the development of the Department of Water Resources’ (DWR’s) statewide AEM survey project. The AEM pilot studies were conducted in three areas: Butte and Glenn Counties, San Luis Obispo County, and Indian Wells Valley. The AEM surveys were conducted from 2018 through 2020 and were led by Stanford University with participants from the academic and private sectors, and local and state water agencies. All data used, collected, or created as a part of the AEM pilot studies are provided here. The AEM pilot studies were funded by grants from DWR, the Ministry of Denmark, and three local agencies (Butte County, Indian Wells Valley Water District, and San Luis Obispo County - Paso Robles). Pilot study participants included Stanford University, Aarhus University, Aqua Geo Frameworks, Ramboll, I-GIS, SkyTEM, University of California Davis, California State University Sacramento, California State University Chico, Parker Groundwater, the Danish Water Technology Alliance, the Danish Environmental Protection Agency, Glenn County Department of Water Resource Conservation, Butte County Department of Water Conservation, Indian Wells Valley Water District, and San Luis Obispo County.

Graph and download economic data for Employed full time: Wage and salary workers: Aircraft pilots and flight engineers occupations: 16 years and over: Women (LEU0254734900A) from 2000 to 2024 about pilots, engineering, aircraft, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

This is the EVENT data captured from the New York City CV Pilot project that was processed by the independent evaluators at Volpe. Additional data collected and data dictionary are in the attachments. Each EVENT record documents the details of one application warning that occurred on an Aftermarket Safety Device (ASD) in an equipped host vehicle and includes CV messages from a defined recording time both before and after the warning was generated by the host ASD. Messages in the recording time window include the Basic Safety Messages (BSM) of the host vehicle that received the warning, as well as other BSMs received from the warning target equipped vehicle (for V2V applications) or other nearby equipped vehicles. Depending on the application warning type, MAP messages, Signal Phase and Timing (SPaT) messages, and Traveler Information Messages (TIM) that were heard by the host vehicle may also be included in the event record.

Success.ai’s Aviation Data provides verified access to professionals across the airlines, aviation, and aerospace industries. Leveraging over 700 million LinkedIn profiles, this dataset delivers actionable insights, contact details, and firmographic data for pilots, engineers, airline executives, aerospace manufacturers, and more. Whether your goal is to market aviation technology, recruit aerospace specialists, or analyze industry trends, Success.ai ensures your outreach is powered by accurate, enriched, and continuously updated data.

Why Choose Success.ai’s Aviation Data? Comprehensive Professional Profiles

Access verified LinkedIn profiles of pilots, engineers, flight operations managers, safety specialists, and aviation executives. AI-driven validation ensures 99% accuracy, reducing bounce rates and enhancing communication efficiency. Global Coverage Across Aviation and Aerospace Sectors

Includes professionals from airlines, airport authorities, aerospace manufacturers, and aviation technology providers. Covers key regions such as North America, Europe, APAC, South America, and the Middle East. Continuously Updated Dataset

Real-time updates reflect changes in roles, organizational affiliations, and professional achievements, ensuring relevant targeting. Tailored for Aviation and Aerospace Insights

Enriched profiles include work histories, areas of specialization, professional certifications, and firmographic data. Data Highlights: 700M+ Verified LinkedIn Profiles: Access a vast network of aviation and aerospace professionals worldwide. 100M+ Work Emails: Communicate directly with pilots, engineers, and airline executives. Enriched Professional Histories: Gain insights into career paths, certifications, and organizational roles. Industry-Specific Segmentation: Target professionals in commercial aviation, aerospace R&D, airport management, and more with precision filters. Key Features of the Dataset: Aviation and Aerospace Professional Profiles

Identify and connect with airline CEOs, aerospace engineers, maintenance technicians, flight safety experts, and other key professionals. Engage with individuals responsible for operational decisions, technology adoption, and aviation safety protocols. Detailed Firmographic Data

Leverage insights into company sizes, fleet compositions, geographic operations, and market focus. Align outreach to match specific industry needs and organizational scales. Advanced Filters for Precision Targeting

Refine searches by region, job role, certifications (e.g., FAA, EASA), or years of experience for tailored outreach. Customize campaigns to address unique aviation challenges such as sustainability, fleet modernization, or safety compliance. AI-Driven Enrichment

Enhanced datasets provide actionable insights for personalized campaigns, highlighting certifications, achievements, and career milestones. Strategic Use Cases: Marketing Aviation Products and Services

Promote aviation technology, flight operations software, or aerospace equipment to airline operators and engineers. Engage with professionals responsible for procurement, fleet management, and airport operations. Recruitment and Talent Acquisition

Target HR professionals and aerospace manufacturers seeking pilots, engineers, and aviation specialists. Simplify hiring for roles requiring advanced technical expertise or certifications. Collaboration and Partnerships

Identify aerospace manufacturers, airlines, or airport authorities for joint ventures, technology development, or service agreements. Build partnerships with key players driving innovation and safety in aviation. Market Research and Industry Analysis

Analyze trends in airline operations, aerospace manufacturing, and aviation technology to inform strategy. Use insights to refine product development and marketing efforts tailored to the aviation industry. Why Choose Success.ai? Best Price Guarantee

Access high-quality Aviation Data at unmatched pricing, ensuring cost-effective campaigns and strategies. Seamless Integration

Easily integrate verified aviation data into CRMs, recruitment platforms, or marketing systems using APIs or downloadable formats. AI-Validated Accuracy

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Tailor datasets to specific aviation sectors, geographic regions, or professional roles to meet your strategic objectives. Strategic APIs for Enhanced Campaigns: Data Enrichment API

Enhance existing records with verified aviation profiles to refine targeting and engagement. Lead Generation API

Automate lead generation for a consistent pipeline of qualified professionals in the aviation sector, scaling your outreach efficiently. Success.ai’s Aviation Data empowers you to connect with the leaders and innovators shaping the aviation and aerospace industries. With verified conta...

A sampling of reports which highlight issues involving communications between pilots and controllers.

This statistic depicts the demand for new pilots worldwide from 2019 to 2029, broken down by region. Asia-Pacific will see the largest demand for new pilots during this time period, with some ****** new airline pilots needed to meet demand.

Electronic scooter trips taken during the 2019 Chicago pilot program. For more information on the pilot, see https://www.chicago.gov/scooters.

In order to study the impact of work-family conflict on occupational burnout among pilots after the COVID-19 pandemic, the Maslach Burnout Inventory-General Survey and the Zhao Xinyuan Bi-directional Scale of Work-Family Conflict were utilized as research tools. The study focused on pilots from Shandong Airlines.

Experience the attraction 'Fun Pilot' anew! Perfectly plan with statistics from June 2024 on waiting times or queue times and weather data.

Aviation weather reports relayed from pilots to FAA air traffic controllers or National Weather Service personnel. Elements include sky cover, turbulence, wind direction, icing. Altitude and location in relation to the airport are also recorded.

About this dataset

Context

The dataset tabulates the Pilot Rock population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Pilot Rock. The dataset can be utilized to understand the population distribution of Pilot Rock by age. For example, using this dataset, we can identify the largest age group in Pilot Rock.

Key observations

The largest age group in Pilot Rock, OR was for the group of age 55 to 59 years years with a population of 139 (11.39%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Pilot Rock, OR was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Pilot Rock is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Pilot Rock total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Pilot Rock Population by Age. You can refer the same here