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Table of Contents Forecast Highlights (2016 – 2036) .............................................................................................. 1
Review of 2015 ........................................................................................................................... 3
Glossary of Acronyms ................................................................................................................. 4
Acknowledgements ..................................................................................................................... 5
FAA Aerospace Forecasts .......................................................................................................... 6
Economic Environment ........................................................................................................... 7
U.S. Airlines............................................................................................................................ 9
Domestic Market ................................................................................................................. 9
International Market ...........................................................................................................15
Cargo .................................................................................................................................19
General Aviation ....................................................................................................................21
FAA Operations .....................................................................................................................26
U.S. Commercial Aircraft Fleet ..............................................................................................28
Unmanned Aircraft Systems ..................................................................................................30
Education, Outreach, and Research ..................................................................................30
Exemptions and Authorizations ..........................................................................................30
Model Aircraft and Hobbyist Forecast ................................................................................30
Commercial Forecast .........................................................................................................31
Commercial Space Transportation ........................................................................................34
Risks to the Forecast .............................................................................................................39
Appendix A: Alternative Forecast Scenarios ............................................................................ 43
Scenario Assumptions .......................................................................................................43
Alternative Forecasts .............................................................................................................47
Enplanements ....................................................................................................................47
Revenue Passenger Miles .................................................................................................48
Available Seat Mile ............................................................................................................48
Load Factor .......................................................................................................................49
Yield ..................................................................................................................................50
Appendix B: FAA Forecast Accuracy ....................................................................................... 55
Appendix C: Forecast Tables ................................................................................................... 57
Forecast Highlights (2016 – 2036)
Since its deregulation in 1978, the U.S. commercial air carrier industry has been characterized by boom-to-bust cycles. The volatility that was associated with these cy-cles was thought by many to be a structural feature of an industry that was capital inten-sive but cash poor. However the great re-cession of 2007-09 marked a fundamental change in the operations and finances of U.S Airlines. Air carriers fine-tuned their business models to minimize losses by low-ering operating costs, eliminating unprofita-ble routes, and grounding older, less fuel efficient aircraft. To increase operating rev-enues, carriers initiated new services that customers were willing to purchase and started charging separately for services that were historically bundled in the price of a ticket. The industry experienced an un-precedented period of consolidation with four major mergers in five years. These changes along with capacity discipline ex-hibited by carriers have resulted in a fifth consecutive year of profitability for the in-dustry in 2015. Looking ahead there is op-timism that the industry has been trans-formed from that of a boom-to-bust cycle to one of sustainable profits.
As the economy recovers from the most se-rious economic downturn since World War II and the slowest expansion in recent history, aviation will continue to grow over the long run. Fundamentally, over the medium and long term, demand for aviation is driven by economic activity. The 2016 FAA forecast calls for U.S. carrier passenger growth over the next 20 years to average 2.1 percent per year, slightly faster than last year’s fore-cast. The sharp decline in the price of oil in 2015 is a catalyst for a short lived uptick in
passenger growth in 2016. Although oil prices are projected to fall to around $43 per barrel in 2016, our forecast assumes that they will rise thereafter to exceed $100 by 2023 and $150 by the end of the forecast, keeping a lid on U.S. economic growth dur-ing the same period. There are a number of headwinds that are buffeting the global economy – the fall in oil prices, recession in Russia and Brazil and inconsistent perfor-mance in other emerging economies, a “hard landing” in China, and lack of further stimulus in the advanced economies. The uncertainty over the future course of oil prices is just one more item on the list. Alt-hough the U.S. economy has managed to avoid a recession, a prolonged period of faster economic growth (e.g. > 3%) may not be forthcoming.
System traffic in revenue passenger miles (RPMs) is projected to increase by 2.6 per-cent a year between 2016 and 2036. Do-mestic RPMs are forecast to grow 2.1 per-cent a year while International RPMs are forecast to grow almost twice as fast at 3.5 percent a year. U.S. carrier system capaci-ty measure in available seat miles (ASMs) is forecast to grow in line with the increases in demand. The number of seats per aircraft is getting bigger, especially in the regional jet market, where we expect the number of 50 seat regional jets to fall to just a handful by 2023, replaced by 70-90 seat aircraft.
Although the U.S. and global economy con-tinued to sputter in 2015, stable demand and lower energy prices resulted in record profits for U.S. airlines. U.S. carrier profita-bility should remain steady or increase as the recovery leads to strengthening demand
1
and increased revenues, while lower energy prices keep operating costs in check. Over the long term, we see a competitive and profitable aviation industry characterized by increasing demand for air travel and airfares growing more slowly than inflation, reflecting over the long term a growing U.S. economy.
The long term outlook for general aviation is favorable, led by gains in turbine aircraft activity. The active general aviation fleet is forecast to increase 0.2 percent a year be-tween 2015 and 2036, equating to an abso-lute increase in the fleet of about 7,000 units. While steady growth in both GDP and corporate profits results in continued growth of the turbine and rotorcraft fleets, the larg-est segment of the fleet – fixed wing piston aircraft continues to shrink over the fore-cast. Although fleet growth is minimal, the number of general aviation hours flown is projected to increase an average of 1.2 per-cent per year through 2036, as growth in
turbine, rotorcraft, and experimental hours more than offset a decline in fixed wing pis-ton hours.
With increasing numbers of regional and business jets in the nation’s skies, fleet mix changes, and carriers consolidating opera-tions in their large hubs, we expect in-creased activity growth which has the po-tential to increase controller workload. Op-erations at FAA and contract towers are forecast to increase 0.9 percent a year over the forecast period with commercial activity growing at five times the rate of non-commercial activity. The growth in U.S. air-line and business aviation activity is the primary driver. Large and medium hubs will see much faster increases than small and non-hub airports, largely due to the com-mercial nature of their operations.
2
Review of 2015
Despite slow economic growth at home and abroad, 2015 was a pretty good year for U.S. aviation. Stable demand, falling yields, and falling costs added up to a year of rec-ord profits for the U.S. airline industry. The shift in focus from market share to boosting returns on invested capital has resulted in something the industry has rarely seen – sustained profitability. The U.S. airline in-dustry has become more nimble in adjusting capacity to seize opportunities or minimize losses. U.S. airlines continue to refine strat-egies for developing additional revenue streams such as charging fees for services that used to be included in airfare (e.g. meal service), as well as for charging for services that were not previously available (e.g. pre-mium boarding and fare lock fees). The im-pact from these initiatives gives reason for optimism as the industry (passenger and cargo carriers combined) posted profits for the sixth consecutive year in 2015.
Demand for air travel in 2015 grew at the fastest pace since 2007 despite modest economic growth in the U.S. In 2015 sys-tem revenue passenger miles (RPMs) in-creased 3.8 percent as enplanements in-creased at the same rate. Domestic RPMs were up 4.8 percent while enplanements were up by 4.2 percent. International RPMs increased by just 2.2 percent as enplane-ments, negatively impacted by the slow-down in China, recession in Brazil and Rus-sia, and exchange rate fluctuations, in-creased only 1.6 percent. The system-wide load factor fell 0.1 points to 83.3 percent.
Yields fell for the first time in five years. In domestic markets, falling oil prices and rap-id expansion by ultra-low cost carriers such
as Spirit and Allegiant led to a 1.6 percent decline. International yield fell 4.8 percent, impacted by weak demand and currency fluctuations. Despite falling yields U.S. air-lines posted record profits in FY 2015 as falling energy prices more than offset reve-nue weakness from falling yields. Data for FY 2015 show that the reporting passenger carriers had a combined operating profit of $24.1 billion (compared to a $14.9 billion operating profit for FY 2014). The network carriers reported combined operating profits of $17.3 billion while the low cost carriers reported combined operating profits of $6.0 billion, with all carriers posting profits.
The general aviation market showed contin-uing improvements in single engine piston and business jet segments, while declines in turboprop and multi-engine piston seg-ments translated into a downturn in ship-ments. Overall deliveries were down by 3.1 percent in calendar year (CY) 2015; even though U.S. billings increased 2.4 percent to $12.0 billion. General aviation activity at FAA and contract tower airports recorded a 0.3 percent decline in 2015 as itinerant ac-tivity fell 0.7 percent, more than offsetting a 0.1 percent increase in local operations.
Total operations at FAA and contract towers rose in 2015 by 0.2 percent, the first in-crease in activity since 2007. Air carrier ac-tivity increased by 5.7 percent, more than offsetting declines in the air taxi, general aviation, and military categories. Activity at large hubs rose by 0.7 percent, while medi-um hub activity increased by 0.6 percent. Small/non-hub airport activity was flat in 2015 compared to the prior year.
3
Glossary of Acronyms
Acronym Term ASMs Available Seat Miles ATP Air Transport Pilot BVLOS Beyond Visual Line of Sight COA Certificate of Operation Authorization COE Certificate of Excellence COMSTAC Commercial Space Transportation Advisory Committee CY Calendar Year ELI Elliptical Earth Orbit FAA Federal Aviation Administration FY Fiscal Year GA General Aviation GAMA General Aviation Manufacturers Association GDP Gross Domestic Product GSO Geosynchronous Orbit ISS International Space Station LEO Low Earth Orbit LSA Light Sport Aircraft MEO Medium Earth Orbit NAS National Airspace System NASA National Aeronautics and Space Administration NGSO Non-Geosynchronous Orbit NPRM Notice of Public Proposed Rulemaking PCE Personal Consumption Expenditure RAC Refiners’ Acquisition Cost RPMs Revenue Passenger Miles RTMs Revenue Ton Miles sUAS Small Unmanned Aircraft System(s) TRACON Terminal Radar Approach Control TRB Transportation Research Board UAS Unmanned Aircraft System(s) USD United States Dollar
4
Acknowledgements
This document was prepared by the Forecasts and Performance Analysis Division (APO-100), Office of Aviation Policy and Plans, under the direction of Mr. Roger D. Schaufele, Jr.
The following people may be contacted for further information:
Section Contact Name Phone Number Economic Environment Roger Schaufele (202) 267-3306 Commercial Air Carriers
• Passenger Roger Schaufele (202) 267-3306 Katherine Lizotte (202) 267-3302
• Cargo Nick Miller (202) 267-3309 General Aviation
• Forecasts H. Anna Barlett (202) 267-4070 • Survey data H. Anna Barlett (202) 267-4070
FAA Workload Measures
• Forecasts Roger Schaufele (202) 267-3306 • Data Roger Schaufele (202) 267-3306
Unmanned Aircraft Systems Michael Lukacs (202) 267-9641 Commercial Space Mary Carolyn Thies Becker (202) 267-8863 APO Websites
• Forecasts and statistical publications
http://www.faa.gov/data_statistics
• APO databases http://aspm.faa.gov
Email for APO staff First name.last [email protected]
5
FAA Aerospace Forecasts Fiscal Years 2016-2036
6
Economic Environment
In the near term, IHS Global Insight projects that world economic growth will remain sub-par, below 3% a year for the next two years. While growth remains sluggish to steady for the United States and Europe, the rest of the world is struggling and will continue to do so. In the United States, consumer spending is solid, fueled by lower oil prices and steady job growth while in 2015 Europe saw its best performance since 2011 as central bank stimulus and low oil and com-modity prices provided the basis for growth. Japan’s economy contracted in late 2015 and shows few signs of robust recovery any
time soon. In emerging markets, China is moving into a period of slower growth as 2015 was the slowest year since 1990 as the economy begins the transition from an export and manufacturing based economy to one that is more oriented towards the service and technology sectors. In 2015 real GDP in India grew an impressive 7.5% but was lacking balance as exports and invest-ment led while private consumption lagged. Other emerging markets such as Brazil and Russia were in recession in 2015 and are not expected to see growth until 2017.
IHS Global Insight forecasts world real GDP to grow at 2.9 percent a year between 2016 and 2036. Emerging markets are forecast to grow above the global average but at lower rates than in the early 2000’s. Asia (excluding Japan), led by India and China, is projected to have the fastest growth fol-lowed by Middle East and Africa, Latin
America, and Eastern Europe. Growth in the more mature economies will be lower than the global trend with the fastest rates in the U.S. followed by Europe. Growth in Ja-pan is projected to be very slow with rates below 1% a year reflecting deep structural issues associated with a shrinking and ag-ing population.
7.5 6.8
2.4 1.5 0.5
-3.2 -4.0
2.4
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
10.0
Annu
al P
erce
nt C
hang
e
India and China led World Economic Growth in 2015
India China U.S. Eurozone Japan Brazil Russia World
Source: IHS Global Insight
7
Oil prices fell by 42% in 2015 to around $57 per barrel and are projected to fall another 24% in 2016 to $43 per barrel. However, the long run trend in oil prices is upward due to growing demand and higher costs of ex-
traction, and IHS Global Insight forecasts the price of oil to reach $100 per barrel by 2023 and continue to rise modestly thereaf-ter to $152 by 2036.
0.8
1.5
2.3
2.9
2.9
2.9
3.3
3.8
5.0
Japan
Eurozone
U.S.
Emerging Europe
Latin America
World
Asia ex China
M.E. & Africa
China
Asia and Africa/Middle East lead global economic growth
Source: IHS Global Insight, Dec 2015 World Forecast
Annual GDP % growth 2016-2036
$0$20$40$60$80
$100$120$140$160
2000 2004 2008 2012 2016 2020 2024 2028 2032 2036
$ Pe
r Bar
rel o
f Oil
Fiscal Year
U.S. Refiners' Acquistion Cost
Source: IHS Global Insight
8
U.S. Airlines
Domestic Market
Mainline and regional carriers1 offer domes-tic and international passenger service be-tween the U.S. and foreign destinations, although regional carrier international ser-vice is confined to the border markets in Canada, Mexico, and the Caribbean. Twen-ty-nine all-cargo carriers were providing domestic and/or international air cargo ser-vice at the end of 2015.
Shaping today’s commercial air carrier in-dustry are three distinct trends: (1) industry consolidation and restructuring; (2) contin-ued capacity discipline in response to exter-nal shocks, and (3) the proliferation of ancil-lary revenues.
The restructuring and consolidation of the U.S. airline industry that began in the after-math of the terror attacks of September 11, 2011 continued in 2015. American and US Airways combined their networks and reser-vations systems to form the world’s largest airline with the last U.S. Airways flight oc-curring in October 2015. Consequently, there are now only four dominant airlines in the U.S. – American, Delta, Southwest, and United – controlling approximately 70% of the domestic market as measured by reve-nue passenger miles. It is highly unlikely the U.S. Government will approve any fur-
1 Mainline carriers are defined as those provid-ing service primarily via aircraft with 90 or more seats. Regionals are defined as those providing service primarily via aircraft with 89 or less seats and whose routes serve mainly as feeders to the mainline carriers.
ther mergers among these four due to anti-trust regulations. In 2005 there were twelve major mainline airlines.
The mergers and increasing market pres-ence of low cost carriers like Frontier, Jet-Blue and Southwest have had clear implica-tions on the fares, size of the aircraft being used and the load factors, topics that will be discussed later in this document.
One of the most striking outcomes of indus-try restructuring has been the unprecedent-ed period of capacity discipline, especially in domestic markets. Between 1978 and 2000, ASMs in domestic markets increased at an average annual rate of 4 percent a year, recording only two years of decline. Even though domestic ASMs shrank by 6.9 percent in FY 2002, following the events of September 11, 2001, growth resumed and by 2007, domestic ASMs were 3.6 percent above the FY 2000 level. However, U.S. domestic ASMS are still down 1.2 percent when compared to 2007 as the industry re-sponded first to the sharp rise in oil prices (up 155% between 2004 and 2008) and then the global recession that followed (2009 to the present). 2015 is the first year showing strong growth in ASMs (4.6 per-cent) since 2004.
The reduction in domestic capacity since 2007 has not been shared equally between the mainline carriers and their regional counterparts. To better match demand to capacity, the mainline carriers contracted out “thin” routes to their regional counter-parts because they could provide lift at a lower cost, or else they simply removed the capacity altogether. In 2015, the mainline
9
carrier group provided 0.9 percent less ca-pacity than it did in 2007 (but carried 2.1 percent more passengers thus load factors increased). Capacity flown by the regional group has shrunk by 3.0 percent over the same period (with passengers carried down 2.1 percent).
The regional market has continued to shrink as the regionals compete for even fewer contracts with the remaining dominant carri-ers; this has meant slow growth in en-planements and yields.
543 572 623 658 706 765 829
153 154 168 177
190 206
223
-
200
400
600
800
1,000
1,200
2015E 2016 2020 2024 2028 2032 2036
Enpl
anem
ents
(mill
ions
)
Fiscal Year
U.S. Commercial Air Carriers Domestic Enplanements by Carrier Group
Mainline Regional
10
The regionals have less leverage with the mainline carriers than they have had in the past as the mainline carriers have negotiat-ed contracts that are more favorable for their operational and financial bottom lines. Furthermore, the regional airlines are facing large pilot shortages and tighter regulations regarding pilot training. Their capital costs have increased in the short-term as they continue to replace their 50 seat regional jets with more fuel efficient 70 seat jets. This move to the larger aircraft will prove beneficial in the future however since their unit costs are lower.
Another continuing trend is that of ancillary revenues. Carriers generate ancillary reve-nues by selling products and services be-yond that of an airplane ticket to customers.
This includes the un-bundling of services previously included in the ticket price such as checked bags and on-board meals, and by adding new services such as boarding priority and internet access. As noted earli-er, U.S. passenger carriers posted record net profits for the sixth consecutive year in 2015 with ancillary revenues a contributing factor to the favorable outcome as well as very low oil prices. Airlines are also in-creasingly experimenting with segmenting their cabins into more discreet cost catego-ries based on comfort amenities like seat pitch, leg room, and access to social media and outlets.
U.S. commercial air carriers’ total number of domestic departures continued the down-ward trend that started in 2008 while ASMs,
14.7 14.4
16.4
18.4 19.8
21.0 22.5
12.3 12.0 13.7
15.4 16.5
17.5 18.7
-
5.0
10.0
15.0
20.0
25.0
2015E 2016 2020 2024 2028 2032 2036
Rev
enue
Per
Mile
(¢)
Fiscal Year
U.S. Commercial Air Carriers Domestic Passenger Nominal Yield
Mainline Regionals
11
RPMs and enplanements all showed a re-bound; these trends underlie the expanding size of aircraft and higher load factors.2 In 2015, the domestic load factor reached a historic high of 84.5 for commercial air car-riers. It is presently assumed that the load factor will not exceed 86.5 in the future due to the logistical difficulties inherent in match-ing supply perfectly with demand.
2 Commercial airlines encompass both mainline and regional carriers.
12
System, that is, the sum of domestic plus international capacity, increased 3.9 percent to 1.066 trillion ASMs in 2015 while RPMs increased 3.8 percent to 889.1 billion. Dur-ing the same period system-wide enplane-ments increased 3.8 percent to 785.8 mil-lion. In 2015, U.S. carriers prioritized the domestic over the international market in terms of allocating capacity. It is forecast that this allocation will continue into 2016 but carriers will start expanding capacity in the international market starting in 2017 and remain focused on that growth market through 2036 as the domestic market con-tinues to mature.
U.S. mainline carrier enplanement growth in the combined domestic and international market was 5.1 percent in 2015 while re-
gional carriers carried 1.1 percent fewer passengers.
In the domestic market, mainline enplane-ments saw an increase for the fifth consecu-tive year, up 5.6 percent, marking the first time since 2000 that the industry recorded five consecutive years of passenger growth in the domestic market. Mainline passen-gers in international markets posted a sixth year of growth, up 2.4 percent.
Even though the recession was officially over in June 2009, carriers continued to face demand uncertainty in 2015 as wages continued to stagnate, household income growth was weak, the housing market’s re-covery was patchy across the country, and government spending at the federal and lo-cal levels remained stagnant and are pro-
83.5
84.0
84.5
85.0
85.5
86.0
86.5
87.0
0.0
1.0
2.0
3.0
4.0
5.0
6.0
2015E 2018 2021 2024 2027 2030 2033 2036
Load
Fac
tor
Annu
al P
erce
nt C
hang
e
Fiscal Year
U.S. Commercial Air Carriers Domestic Market
ASMs RPMs Enplanements Load Factor
13
jected to remain so for the next few years. Despite these dire statistics, the unemploy-ment rate fell and consumer spending was up and many urban housing markets have been revived strongly. In such an uneven, but slowly improving, environment, industry capacity growth was restrained (up 3.9 per-cent), after only a 2.3 percent increase in 2014. Higher airfares and ancillary reve-nues, coupled with falling fuel prices result-
ed in U.S. carriers finishing up 2015 with a strong net profit.
System load factor and trip length remained flat in 2015, even as seats per aircraft mile increased by 2.4 percent; again reflecting the trend towards using larger aircraft. Seats per aircraft mile system wide in-creased to 149.1 seats (up 3.5 seats per aircraft mile), the highest level since 1994.
14
International Market
The international market continues to be the growth segment for U.S. carriers when compared to the mature U.S. domestic mar-ket, especially since FY 2004. Last year, 2015, was an exception to the trend and 2016 is expected to follow suit as airlines continue to focus on the domestic market. Starting in 2017 the international market (comprised of mainline and regional carri-ers) should again start outpacing the do-mestic market in terms of enplanements,
RPMs and ASMs at an average annual rate (FY 2017-2036) of 3.6%, 3.5%, and 3.5% respectively.
While the financial situation across the world has weakened somewhat, lower fares enabled by falling oil prices and more effi-cient aircraft has boosted demand; at least in the short term. It is possible that histori-cally low oil prices signal further weakening in the global economy and thus, lower travel demand in the future.
(15.0)
(10.0)
(5.0)
-
5.0
10.0
15.0
2001 2006 2011 2016 2021 2026 2031 2036
Annu
al G
row
th R
ate
(%)
Fiscal Year
U.S. Carriers - Enplanements
Domestic Market International Market
15
The next five years will feature a rebuilding of international demand by the U.S. carriers with moderate growth averaging around 3.6, 3.5, and 3.5 for enplanements, RPMs, and ASMs respectively. Airlines will exercise
capacity restraint and the load factor is ex-pected to stabilize around 81.8%. Load fac-tors this high were last seen in 2013.
(20.0)
(15.0)
(10.0)
(5.0)
-
5.0
10.0
15.0
20.0
2001 2006 2011 2016 2021 2026 2031 2036
Annu
al G
row
th R
ate
(%)
Fiscal Year
U.S. Carriers - RPMs
Domestic Market International Market
(20.0)
(15.0)
(10.0)
(5.0)
-
5.0
10.0
15.0
2001 2006 2011 2016 2021 2026 2031 2036
Annu
al G
row
th R
ate
(%)
Fiscal Year
U.S. Carriers - ASMs
Domestic International
16
Overall however, U.S. carrier market share of international passengers has been drop-ping in all regions with the exception of the
Caribbean, Oceania and Central America. It is expected that these trends will continue.
0.00.51.01.52.02.53.03.54.04.5
2015E 2018 2021 2024 2027 2030 2033 2036
Annu
al P
erce
nt C
hang
e
Fiscal Year
U.S. Commercial Air Carriers International Market
ASMs RPMs Enplanements
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2011 2012 2013 2014 2015
% o
f Mar
ket S
hare
Calendar Year
U.S. Carrier Enplanement Market Share by Region
CaribbeanMexicoCentral AmericaSouth AmericaAll CountriesCanadaAfricaEuropeAsiaOceaniaMiddle East
17
For U.S. carriers, Latin America is still the largest international destination despite the recent economic and political crises of Bra-zil. While 2014 saw 7.5% growth, 2015 still showed a very robust 5.1% increase. In contrast, the Pacific region saw 0% en-planement growth and the Atlantic region saw a drop of 1.3%. It is expected that the Latin American market will continue to be the growth market for travel to and from the U.S.
Despite the economic powerhouses of Chi-na, Japan and South Korea, the Pacific re-gion remains a relatively small market for the U.S. and will remain so for the next twenty years. While travel to the US will
grow approximately 3.8% per year from 2016-2036 for all carriers, the majority of travel demand in that region will be intra-Asian.
Both the Atlantic and Canada regions are mature and will experience enplanement growth of 3.7% and 3.6%, respectively, on average over the twenty year period for all carriers. It is unclear at this time if the Syri-an refugee crisis and terrorism threats will affect travel demand in 2016 and beyond.
Despite the recent economic downturn in Latin America, it is still the largest driver of international demand to the U.S. Mexico, the most popular destination, is forecast to
69 72 85 98 113 129 148 73 77
87 102
121 142
168
35 36 43
51 60
68
77
29 29 34
39
45
51
59
0
50
100
150
200
250
300
350
400
450
500
2015 2016 2020 2024 2028 2032 2036
Mill
ions
of P
asse
nger
s
Calendar Year
Total Passengers To/From the U.S. American and Foreign Flag Carriers
Atlantic* L. America Pacific Canada TransborderSource: US Customs & Border Protection data processed and released by Department of Commerce; data also received from Transport Canada * Per past practice, the Mid-East region and Africa are included in the Atlantic category.
18
experience 4.2% annual growth from 2016-2036 for all carriers whereas the entire re-
gion is forecast to grow 4.0%
Cargo
Air cargo traffic contains both domestic and international freight/express and mail. The demand for air cargo is a derived demand resulting from economic activity. Cargo moves in the bellies of passenger aircraft and in dedicated all-cargo aircraft on both scheduled and nonscheduled service. Car-go carriers face price competition from al-ternative shipping modes such as trucks, container ships, and rail cars.
U.S. air carriers flew 35.9 billion revenue ton miles (RTMs) in 2015, up 2.2 percent from 2014 with domestic cargo revenue ton miles (RTMs) increasing 3.3 percent to 13.1 billion while international RTMs increased by 1.6 percent to 22.9 billion. Air cargo RTMs flown by all-cargo carriers comprised 78.1 percent of total RTMs in 2015, with passen-ger carriers flying the remainder. Total RTMs flown by the all-cargo carriers in-creased 1.8 percent in 2015 while total RTMs flown by passenger carriers grew by 3.6 percent.
U.S. carrier international air cargo traffic can be divided into four components consisting of Atlantic, Latin, Pacific, and ‘Other Interna-tional.’ In 2015 total international RTMs in-creased 1.6 percent to 22.9 billion as growth in the Pacific region offset declines in the other three regions.
Historically, air cargo activity tracks with GDP. Additional factors that affect air cargo growth are fuel price volatility, movement of real yields, and globalization. Significant structural changes have occurred in the air cargo industry; among these are air cargo security regulations by the FAA and TSA, maturation of the domestic express market,
a shift from air to other modes (especially truck), use of all-cargo carriers (e.g., FedEx) by the U.S. Postal Service to transport mail, and the increased use of mail substitutes (e.g. e-mail, cloud-based services).
The forecasts of Revenue Ton Miles (RTMs) are based on several assumptions specific to the cargo industry. First, security restrictions on air cargo transportation will remain in place. Second, most of the shift from air to ground transportation has oc-curred. Finally, long-term cargo activity will be tied to economic growth.
The forecasts of RTMs were based on models that link cargo activity to GDP. Forecasts of domestic cargo RTMs were developed with real U.S. GDP as the prima-ry driver. Projections of international cargo RTMs were based on growth in world GDP, adjusted for inflation. The distribution of RTMs between passenger and all-cargo carriers was forecast based on an analysis of historic trends in shares, changes in in-dustry structure, and market assumptions.
After increasing by 2.2 percent in 2015, total RTMs are forecast to grow 4.5 percent in 2016 and driven by steady U.S. and world economic growth, total RTMs are projected to increase at an average annual rate of 3.5 percent for the balance of the forecast peri-od.
Domestic cargo RTMs are forecast to grow 1.9 percent in 2016 as the U.S. economic recovery continues after posting a 3.3 in-crease in 2015. Between 2016 and 2036, domestic cargo RTMs are forecast to in-crease at an average annual rate of 0.4
19
percent. In 2015, all-cargo carriers carried 89.2 percent of domestic cargo RTMs. The all-cargo share is forecast to grow to 90.8 percent by 2036 based on increases in ca-pacity for all-cargo carriers and ongoing se-curity considerations.
International cargo RTMs grew 1.6 percent in 2015 after posting a 0.3 percent increase in 2014 as stagnation in Europe and a slowdown in China’s economic growth slowed worldwide trade. Growth is ex-pected to rebound in 2016 to 6.0 percent as global trade growth resumes. For the fore-cast period (2016-36) international cargo RTMs are forecast to increase an average
of 4.7 percent a year based on projected growth in world GDP with the Pacific region having the fastest growth, followed by the Other International, Atlantic, and Latin re-gions, respectively.
The share of international cargo RTMs flown by all-cargo carriers increased from 49.3 percent in 2000 to 71.8 percent in 2015. Continuing the trend experienced over the past decade, the all-cargo share of international RTMs flown is forecast to in-crease modestly to 78.1 percent by 2036.
20
General Aviation
The FAA uses estimates of fleet size, hours flown, and utilization rates from the General Aviation and Part 135 Activity Survey (GA Survey) as baseline figures to forecast the GA fleet and activity. Forecasts of new air-craft deliveries, which use the data from General Aviation Manufacturers Association (GAMA), together with assumptions of re-tirement rates, produce growth rates of the fleet by aircraft categories, which are ap-plied to the GA Survey fleet estimates. The forecasts are carried out for “active air-craft,”3 not total aircraft. The FAA’s general aviation forecasts also rely on discussions with the industry experts conducted at indus-try meetings, including four Transportation Research Board (TRB) meetings of Business Aviation and Civil Helicopter Subcommittees conducted annually in May and January.
The results of the 2014 GA Survey, the lat-est available, were consistent with the re-sults of surveys conducted since 2004 im-provements to the survey methodology. The 2014 Survey recorded the first increase to the GA fleet since 2007, particularly since the implementation of 2010 Rule for Re-Registration and Renewal of Aircraft Regis-tration. The active GA fleet was estimated as 204,408 aircraft in 2014 (up 2.2 percent from 2013), with 23.3 million hours flown (up 1.7 percent from 2013).
In 2015, the general aviation industry expe-rienced its first decline in deliveries since
3 An active aircraft is one that flies at least one hour during the year.
2010. While the single engine piston aircraft deliveries by U.S. manufacturers continued to grow and business jet deliveries recorded a very modest increase compared to the previous year, turboprop deliveries were down by 10 percent, and much smaller cat-egory of multi-engine piston deliveries de-clined 40 percent. Based on figures re-leased by GAMA, U.S. manufacturers of general aviation aircraft delivered 1,581 air-craft in CY 2015, 3.1 percent fewer than CY 2014. This was the first decline after four years of growth in shipments that showed first signs of slowing down in 2014. Single engine piston deliveries increased by 3.4 percent in 2015, but the decrease in multi-engine piston shipments caused a 0.6 per-cent decrease in overall piston airplane de-liveries. In the turbine categories, turbojet deliveries were up by 0.8 percent. With the 10.0 percent decline in turboprop deliveries, total turbine shipments went down by 5.3 percent in 2015.
21
GAMA and industry experts also reported significant decreases in rotorcraft deliveries in 2015, particularly resulting from direct and indirect effects of oil price declines.
Against these current conditions, the long term outlook for general aviation, driven by turbine aircraft activity, remains favorable. The active general aviation fleet is projected to increase at an average annual rate of 0.2 percent over the 21-year forecast peri-od, growing from an estimated 203,880 in 2015 to 210,695 aircraft by 2036. The more expensive and sophisticated turbine-powered fleet (including rotorcraft) is pro-jected to grow by 15,600 aircraft -- at an av-erage rate of 2.1 percent a year over the
forecast period, with the turbine jet portion increasing at 2.5 percent a year.
While steady growth in GDP and long term corporate profits impacts continued growth of the turbine and rotorcraft fleets, the larg-est segment of the fleet, fixed wing piston aircraft is predicted to shrink over the fore-cast period by 17,500 aircraft (at an average annual rate of 0.6 percent).
On the other hand, currently the smallest category, light-sport-aircraft, which was cre-ated in 2005, is forecast to grow by 4.5 per-cent annually, adding about 3,900 new air-craft by 2036, nearly tripling its 2014 fleet size.
$0
$2
$4
$6
$8
$10
$12
$14
$16
-
500
1,000
1,500
2,000
2,500
3,000
3,500
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Billings ($B) Shipments
Calendar Year
General Aviation U.S. Manufacturers Shipments and Billings
Shipments Billings ($ Billion)Source: GAMA
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Moderate fleet growth also impacts the number of general aviation hours flown, pro-jected to increase an average of 1.2 percent per year through 2036. Following the de-cline in piston fleet, fixed wing piston hours are forecast to decrease by 0.6 percent. Countering this trend, hours flown by turbine aircraft (including rotorcraft) are forecast to increase 2.6 percent yearly over the fore-
cast period. Jet aircraft are expected to ac-count for most of the increase, with hours flown increasing at an average annual rate of 3.1 percent over the forecast period. The large increases in jet hours result mainly from the increasing size of the business jet fleet, along with continuing increase in utili-zation rates, as indicated by the GA Survey.
0
50,000
100,000
150,000
200,000
250,000
2006 2016 2026 2036Calendar Year
Active General Aviation Aircraft
Fixed Wing Piston Fixed Wing Turbine Rotorcraft
LSA Experimental
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Rotorcraft activity, which was not as heavily impacted by the previous economic down-turn as other aircraft and rebounded earlier, faces the challenges brought by lower oil prices. They impact utilization rates and new aircraft orders both directly through de-creasing activity in oil exploration, and also through associated slowdown in related economic activity. Rotorcraft hours are pro-jected to grow by 2.5 percent annually over the forecast period.
Lastly, the light sport aircraft category is forecasted to see an increase of 5.0 percent a year in hours flown, primarily driven by growth in the fleet.
The FAA also conducts a forecast of pilots by certification categories, using the data compiled by the Administration’s Mike Mon-roney Aeronautical Center. There were 590,039 active pilots certificated by FAA at
the end of 2015. While private and com-mercial pilot categories kept their declining trends, student pilot certificates continued to increase. One regulatory change that af-fected the number of student pilot certifi-cates was the 2010 rule that increased the duration of validity for student pilot certifi-cates for pilots under the age of 40 from 36 months to 60 months. Since 2011, the stu-dent pilot numbers have been rising and reached 122,729 in 2015.
Another change in the legislation impacted commercial and air transport pilot (ATP) certificates. The Airline Safety and Federal Aviation Administration Extension Act of 2010 mandated that all part 121 (scheduled airline) flight crew members would hold an ATP certificate by August 2013. The airline pilots holding a commercial pilot certificate and mostly serving at Second in Command positions at the regional airlines could no
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
2006 2016 2026 2036Calendar Year
General Aviation Hours Flown (in thousands)
Fixed Wing Piston Fixed Wing TurbineRotorcraft LSAExperimental
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longer operate with only a commercial pilot certificate after that date, and the FAA data showed a faster decline in commercial pilot numbers, accompanied by a higher rate of increase in ATP certificates.
The number of active general aviation pilots (excluding ATPs) is projected to decrease about 5,000 (down 0.1 percent yearly) over the forecast period, while the ATP category
is forecast to increase by 13,600 (up 0.4 percent annually). The student pilots are forecast to increase by 0.3 percent and much smaller category of sport pilots are predicted to increase by 4.8 percent annual-ly over the forecast period. On the other hand, both private and commercial pilot cer-tificates are projected to decrease by 0.6 percent yearly until 2036.
0
100,000
200,000
300,000
400,000
500,000
600,000
2006 2016 2026 2036
Calendar Year
Active Pilots by Type of Certificate
Students Sport Pilot Private Pilot
Commercial Pilot Air Transport Pilots Rotorcraft only
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FAA Operations
The growth in air travel demand and the business aviation fleet will drive growth in operations at FAA facilities over the forecast period. Activity at FAA and Contract towers is forecast to increase at an average rate of 0.9 percent a year between 2016 and 2036. Commercial operations4 at these facilities are forecast to increase 1.5 percent a year, 5 times faster than non-commercial opera-tions. The growth in commercial operations is less than the growth in U.S. airline pas-senger traffic (1.5 percent vs 2.0 percent) over the forecast period due primarily to larger aircraft (seats per aircraft mile) and higher load factors. Both of these trends allow U.S. airlines to accommodate more passengers without increasing the number of flights. General aviation operations (which accounted for 52% of operations in 2015) are forecast to increase an average of 0.3 percent a year as increases in turbine powered activity more than offset declines in piston activity.
4 Sum of air carrier and commuter/air taxi cate-gories.
FAA Tracon (Terminal Radar Approach Control) Operations5 are forecast to grow slightly faster than at towered facilities. This is in part a reflection of the different mix of activity at Tracons. Total operations are forecast to increase an average of 1.1 per-cent a year between 2016 and 2036. Commercial operations accounted for ap-proximately 59 percent of Tracon operations in 2015 and are projected to grow 1.5 per-cent a year over the forecast period. Gen-eral aviation activity at these facilities is pro-jected to grow only 0.4 percent a year over the forecast.
Activity at FAA En-Route Centers is meas-ured by the number of IFR aircraft handled.
5 Tracon operations consist of itinerant Instru-ment Flight Rules (IFR) and Visual Flight Rules (VFR) arrivals and departures at all airports in the domain of the Tracon as well as IFR and VFR overflights.
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
2006 2016 2026 2036
Ope
ratio
ns (0
00)
Fiscal Year
FAA & Contract Tower Operations
Commercial Non Commercial
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In 2015, aircraft handled at FAA En-Route Centers increased 1.4 percent, led by in-creases in the Air Carrier and General Avia-tion categories. Growth in airline traffic and business aviation is expected to lead to in-creases in activity at En-Route centers. Over the forecast period, aircraft handled at En-Route centers are forecast to increase at an average rate of 1.4 percent a year as increases in Air Carrier and General Avia-tion activity offset declines in Air Taxi activi-ty. Activity at En-Route centers is forecast to grow much faster than activity at towered airports because more of the activity at En-Route centers is from the faster growing commercial sector and high-end (mainly turbine) general aviation flying. Much of the general aviation activity at towered airports, which is growing more slowly, is local in na-ture, and does not impact the centers.
0
10,000
20,000
30,000
40,000
50,000
60,000
2006 2016 2026 2036
AC H
andl
ed (0
00)
Fiscal Year
En-Route Center Aircraft Handled
Commercial Non Commercial
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U.S. Commercial Aircraft Fleet
The number of aircraft in the U.S. commer-cial fleet is forecast to increase from 6,871 in 2015 to 8.414 in 2036, an average annual growth rate of 1.0 percent a year. Increased demand for air travel and growth in air cargo is expected to fuel increases in both the passenger and cargo fleets.
Between 2015 and 2036 the number of jets in the U.S. mainline carrier fleet is forecast to grow from 3,946 to 5,339, an average of 66 aircraft a year as carriers continue to re-move older, less fuel efficient narrow body aircraft. The narrow body fleet (including E-series aircraft at American and JetBlue) is projected to grow 51 aircraft a year as carri-ers replace the 757 fleet and current tech-nology 737 and A320 family aircraft with the next generation MAX and Neo families. The wide-body fleet grows by an average of 15 aircraft a year as carriers add 777-8/9, 787’s, A350’s to the fleet while retiring 767-300 and 777-200 aircraft. In total the U.S. passenger carrier wide-body fleet increases by 60 percent over the forecast period.
The regional carrier fleet is forecast to de-cline from 2,144 aircraft in 2015 to 1,961 in 2036 as the fleet shrinks by 21 percent (448
aircraft) between 2015 and 2022. Carriers remove 50 seat regional jets and retire older small turboprop and piston aircraft, while adding 70-90 seat jets, especially the E-2 family after 2020. By 2025 only a handful of 50 seat regional jets remain in the fleet. By 2036, the number of jets in the regional car-rier fleet totals 1,786, up from 1,628 in 2015. The turboprop/piston fleet is forecast to shrink by two-thirds from 516 in 2015 to 175 by 2036. These aircraft account for just 8.9 percent of the fleet in 2036, down from 24.1 percent in 2015.
The cargo carrier large jet aircraft fleet is forecast to increase from 781 aircraft in 2015 to 1,114 aircraft in 2036 driven by the growth in freight RTMs. The narrow-body cargo jet fleet is projected to increase by 2 aircraft a year as 757’s and 737’s are con-verted from passenger use to cargo service. The wide body cargo fleet is forecast to in-crease 14 aircraft a year as new 747-800, 767-300, and 777-200 aircraft are added to the fleet, replacing older MD-11 and 767-200 freighters.
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01,0002,0003,0004,0005,0006,0007,0008,0009,000
10,000
2006 2016 2026 2036Calendar Year
U.S. Carrier Fleet
Mainline NB Mainline WB
Cargo Jet Regionals
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Unmanned Aircraft Systems
An Unmanned Aircraft System (UAS) is the unmanned aircraft (UA) and its associated elements (including communication links and the components that control the un-manned aircraft) that are required for the safe and efficient operation of the un-manned aircraft in the national airspace sys-tem (NAS). The forecast will be driven by a combination of an improved regulatory envi-ronment and underlying demand. In 2015, unprecedented milestones were achieved for UAS. The FAA is continuing to enable this new thriving industry to flourish while maintaining safety.
Education, Outreach, and Research
The FAA is partnering with several industry associations for the “Know Before You Fly” educational campaign. This outreach pro-motes the safe and responsible use of un-manned aircraft as they become integrated into the NAS. The FAA also developed and made available an app, B4UFLY which pro-vides UAS operators with pertinent airspace requirements and restrictions before operat-ing.
Six FAA-selected UAS test site operators are providing information on system safety, data gathering, aircraft certification, com-mand and control link issues, control station layout and certification, ground and airborne sense and avoid, and environmental im-pacts. In addition, a team led by Mississippi State University has been identified as the FAA's Center of Excellence for Unmanned Aircraft Systems (COE UAS). The COE will focus on research, education, and training in areas critical to safe and successful inte-gration of UAS into the nation's airspace.
Exemptions and Authorizations
Section 333 of the FAA Modernization and Reform Act of 2012 grants the Secretary of Transportation the authority to determine whether an airworthiness certification is re-quired for certain UAS to operate safely in the NAS. This determination is based on the size, weight, speed, and operational capa-bilities of the aircraft. Using the FAA’s ex-emption process, a safety evaluation is conducted, and appropriate conditions and limitations for the operation are imposed through each exemption granted. As of March 16, 2016, over 4,000 exemptions have been granted for commercial UAS op-erations in the United States under the Sec-tion 333 authority. This demonstrates con-siderable potential demand for UAS opera-tions, in low-risk, controlled environments. In addition, commercial UAS operations must be conducted in accordance with a Certificate of Authorization or Waiver (COA) issued by the FAA Air Traffic Organization. The COA describes the specific operating areas approved for UAS operations and as-sociated mitigations that help to ensure the safety of the NAS.
Model Aircraft and Hobbyist Forecast
In order to operate in the NAS, the FAA must ensure that aircraft operators are not only aware of the system in which they are operating, but that the agency also has a means to identify owners. One means to accomplish this is through aircraft registra-tion and marking. On December 14, 2015, the FAA issued a rule requiring all UAS weighing more than 0.55 pounds (250 grams) and less than 55 pounds to be regis-tered using a new on-line system (UAS weighing more than 55 pounds must be reg-
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istered using the existing Aircraft Registra-tion Process). This registration rule will aid in investigations and allow the FAA to gath-er data about UAS use. As of mid-March, 2016 there have been over 408,000 regis-trations.
As shown in the following table, a sales forecast was developed for the small UAS registration rule, which included very small
units below the registration size cutoff of 250 grams. For this interim final rule, in 2016, we forecast 1.9 million potential an-nual sales and that number could increase to 4.3 million units sold annually by 2020. As shown in the first row of the table below, this would represent the upper bound of the potential number of small UAS operated as model or hobby aircraft.
Sales Forecast SummaryMillion sUAS Units
2016 2017 2018 2019 2020Hobbyist (model aircraft) 1.9 2.3 2.9 3.5 4.3Commercial (non-model aircraft) 0.6 2.5 2.6 2.6 2.7
2.5 4.8 5.5 6.1 7.0Note: Numbers may not add due to rounding
Commercial Forecast
In 2015, in support of the small UAS regis-tration rule, a sales forecast for commercial UAS was developed to derive the potential demand for the new on-line registration sys-tem. That forecast represents the high end of the small UAS commercial fleet. As summarized in the second row of the previ-ous table, for 2016, the potential sales of commercial small UAS requiring registration was forecast to be over 600,000, growing to 2.7 million by 2020.
On February 23, 2015, the FAA issued the Operation and Certification of Small Un-manned Aircraft Systems Notice of Pro-posed Rulemaking (NPRM) proposing to amend its regulations to adopt specific rules for the operation of small UAS in the NAS. Over 4,600 public comments were submit-ted in response to the NPRM. The FAA ex-pects to publish a final rule in late spring of 2016. More information on the derivation and assumptions behind this forecast will be provided in the Regulatory Impact Assess-
ment accompanying the final rule publica-tion.
The FAA is working with the Teal Group Corporation, an industry expert in UAS fore-casting, to develop a commercial forecast for small UAS operations described in the NPRM. The civil and commercial UAS mar-ket will take time to develop and the size of the market will directly relate to the specific requirements developed along with airspace accessibility. The Teal Group has provided the FAA with a forecast for small commer-cial unmanned aircraft. This forecast ana-lyzes the market demand for different sec-tors within the regulatory environment.
As shown in the graph below, it is expected that, once the final small UAS rule is imple-mented, two different categories of small UAS (sUAS) will emerge. Higher end sUAS will have an average sales price of $40,000 per unit, while lower end units will have an average price of $2,500. Over a five year period, Teal Group forecasts the sUAS fleet to be approximately 542,500.
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Of this estimated fleet, it is expected that roughly 90% of the demand will satisfied by the lower end units.
The number of small UAS forecasted is highly uncertain and is dependent on the regulatory structure ultimately adopted. Once a final rule for small UAS is published, they will become more commercially viable
than they are today. The total fleet shown in the previous table is expected to satisfy the market for the top five industries that will employ the use of sUAS.
2016 2017 2018 2019 2020Higher end UAS 1,300 6,300 16,000 32,000 52,000Lower end UAS 31,500 95,000 180,000 320,000 490,500Total Fleet 32,800 101,300 196,000 352,000 542,500
32,800
101,300
196,000
352,000
542,500
-
100,000
200,000
300,000
400,000
500,000
600,000sUAS Fleet
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Looking beyond existing regulatory initia-tives, FAA has developed the UAS Focus Area Pathfinders initiative. This initiative explores how UAS might be safely used in populated areas, how UAS flights outside the pilot's direct vision might allow greater UAS use in rural areas, and some of the command-and-control challenges of using UAS beyond visual line of sight in ru-ral/isolated areas. The overall demand for commercial UAS will soar once regulations more easily enable beyond visual line of sight (BVLOS) operations and operations of multiple UA by a single pilot. Once a
framework is enabled for BVLOS opera-tions, the projected market sizes could be higher than the forecast
Venture capitalists are already investing considerable amounts of money into this emerging industry with the intention to build early market share in this technology. Manufacturers’ efforts are focused on build-ing systems optimized for particular seg-ments of the market. Unmanned aircraft systems will be the most dynamic growth sector within aviation. The FAA will contin-ue to work with industry and stakeholders to safely integrate UAS into the NAS.
Real Estate/ Aerial
Photography 22%
Insurance 15%
Agriculture 19%
Industrial Inspection
42%
Government 2%
Top Five sUAS Markets
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Commercial Space Transportation
The Federal Aviation Administration’s Office of Commercial Space Transportation (FAA AST) and the Commercial Space Transpor-tation Advisory Committee (COMSTAC) have prepared forecasts of global demand for commercial space launches in 2015 through 2024.
The 2015 Commercial Space Transporta-tion Forecasts report (the Report) is in two sections:
1) The COMSTAC 2015 Commercial Ge-osynchronous Orbit (GSO) Launch De-mand Forecast, which projects demand for commercial satellites that operate in GSO and the resulting commercial launch demand to GSO. As a result of the realignment of issuances dates of the Report, this year’s GSO Launch Demand Forecast only considers the three-year outlook; and
2) The FAA’s 2015 Commercial Space Transportation Forecast for Non-Geosynchronous Orbits (NGSO),which projects commercial launch demand for
satellites to NGSO, such as low Earth orbit (LEO), medium Earth orbit (MEO), elliptical (ELI) orbits, and external (EXT) trajectories beyond orbits around the Earth.
Report projects an average of 17 commer-cial GSO launches for 2015 through 2017 and 13.1 NGSO launches for 2014 through 2013. The chart below shows the combined GSO and NGSO Historical Launches and Launch Forecast. It reflects the three year GSO forecast outlook. The table below shows the number of GSO and NGSO pay-loads and launches projected from 2015 and 2024.
It is important to distinguish between fore-cast demand and the number of satellites actually launched. Launch vehicle and sat-ellite programs are complex, and suscepti-ble to delays, which generally makes the forecast demand for launches the upper lim-it of actual launches in the near-term fore-cast.
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Combined 2015 GSO and NGSO Historical Launches and Launch Forecasts
Commercial Space Transportation Payload and Launch Forecasts2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 Total Avg.
PayloadsGSO Forecast (COMSTAC)
24 25 26 -- -- -- -- -- -- -- -- 25.0*
NGSO Forecast (FAA) 65 136 151 104 92 92 87 86 87 86 986 98.6
Total Payloads 89 161 177 -- -- -- -- -- -- -- -- --Launches
GSO Med-to-Heavy 16 17 18 -- -- -- -- -- -- -- -- --
NGSO Med-to-Heavy 13 17 15 13 11 10 10 10 10 10 119 11.9
NGSO Small 1 2 4 2 1 0 1 0 1 0 12 1.2
Total Launches 30 36 37 -- -- -- -- -- -- -- -- --
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The GSO market remains stable with a pro-jected demand of 25 satellites per year for the period 2015-2017, up from last year’s average for 22.3 for the period 2014-2016. The chart below shows the 2015 GSO His-torical Launches and Launch Forecast. Thirty-nine percent of GSO satellites pro-jected to launch from 2015-2017 are in the heaviest mass class (above 5,400 kg). At the same time, seven percent of the satel-lites in the same period are in the lowest mass class (below 2,500 kg). In 2015, un-addressable launches remained at the
comparably high level – launch contracts that were not open to international (includ-ing U.S.) competition – as Chinese and Russian government-owned aerospace companies routinely package satellites, launches, and financing together. The sat-ellite services market is generally robust, and new launch vehicle options will affect the dynamics of the launch industry. Opera-tors are cautious about the impact of the economy on their plans but are generally satisfied with satellite and launch vehicle offerings.
2015 GSO Historical Launches and Launch Forecast
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Projected NGSO Launches from 2015-2024
The demand for commercial NGSO launch-es is expected to be at a comparably high level as major NGSO telecommunication constellations are replenished and National Aeronautics and Space Administration (NASA) International Space Station (ISS) commercial crew and cargo resupply mis-sions become more regular. The annual average of NGSO commercial launches is expected to grow from an annual average of seven launches a year over the last ten years to about 11.9 launches annually. From 2015-2024, 986 payloads are project-ed to launch commercially, driving only 131 launches with multi-manifesting, reflecting an industry planning to launch more micro- and small-class payloads in clusters, in-stead of increasing the demand for individu-al launches. The chart above shows the projected NGSO launches for the next ten years. The launches in the next ten years are predominantly commercial launches to
the International Space Station, which re-quire medium-to-heavy vehicles. Ninety-one percent of all commercial NGSO launches during the forecast period will launch on medium-to-heavy vehicles. The relatively higher number of small launches is due to Skybox Imaging’s plans to use Minotaur C to deploy its constellation and the first test flights of four newly developed commercial small launch vehicles in 2015-2017, to be introduced for commercial launch services in the following years. From 2015-2018 the Report forecasts a number of small commercial satellites to be launched as Iridium, ORBCOMM, Planet Labs, and Skybox all deploy their constella-tions. The number of these multi-manifested satellites drops off towards the end of the forecast, but the number of launches remains relatively steady as NASA begins its commercial crew program.
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For the full study, please visit:
https://www.faa.gov/about/office_org/headquarters_offices/ast/media/Commercial_Space_Transportation_Forecasts_2015.pdf
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Risks to the Forecast
The forecasts in this document are fore-casts of aviation demand, driven by models built on forecasts of economic activity. There are many assumptions in both the economic forecasts and in the FAA models that could impact the degree to which these forecasts are realized. This year’s forecast is driven, at least in the short-term, by a number of factors including the strength of the economic recovery and any impact re-sulting from the U.S. government fiscal situ-ation. Also, as numerous incidents in the past few years (like the downing of a Rus-sian A321 in the Sinai in October 2015) re-mind us, terrorism remains among the greatest risks to aviation growth. Any terror-ist incident aimed at aviation would have an immediate and significant impact on the demand for aviation services that would be greater than its impact on overall economic activity.
Although oil prices remained below $60 per barrel for most of 2015, the recent volatility reminds us there is still considerable uncer-tainty as to the future direction of oil prices. The FAA’s baseline forecast (derived from economic assumptions in IHS Global In-sight’s December 2015 U.S. macro forecast and 30-Year Focus released during the fourth quarter of 2015) calls for a decline in oil prices in 2016 to $43 per barrel and then rising steadily thereafter, exceeding $75 by 2020, $125 by 2025, and reaches $152 per barrel by the end of the forecast period in 2036. Some forecasters are calling for a more gradual rebound in the price of oil. In January 2016, the World Bank released its latest commodity price forecast. The fore-cast calls for oil prices to fall to $34 per bar-rel in 2016, remaining below $60 until 2021, and only exceeding $80 per barrel by 2025.
The International Monetary Fund (IMF) also sees oil price increasing at a more moder-ate rate than the FAA’s base forecast, as its January 2016 forecast called for oil prices increasing from $35 per barrel in 2016 to only $50.50 per barrel by 2021. Over the long run, lower oil prices give consumers an impetus for additional spending, including air travel, and should enhance industry prof-itability.
The baseline forecast assumes that global economic growth will accelerate after 2016, but weakness in certain areas may threaten the strength and sustainability of the expan-sion. The baseline forecast assumes that China and India will be growth engines for emerging economies as China successfully transitions the economy from reliance on heavy manufacturing and resource indus-tries to one more oriented towards the ser-vices and technology sectors and India con-tinues to implement reforms to make its economy more competitive. While economic growth appears to be holding up in the U.S., there are concerns about the strength of demand in Japan and in the European Un-ion as these areas continue to be con-strained by structural economic problems (high debt, slow population growth, weak public finances for example). Furthermore, the steps that were taken to stabilize the global economy during the Great Recession have resulted in additional distortions and imbalances. There are concerns that cen-tral banks may not raise interest rates in time to contain asset bubbles and inflation-ary expectations. In advanced economies, governments need to shore up their financ-es by constraining spending and raising taxes. Given the discomfort many policy makers feel about the measures adopted to
39
combat the Great Recession and uncertain-ty about the advanced economies’ pro-spects, there is considerable risk that au-thorities will either act prematurely or be ex-cessively timid and late in taking necessary steps. The current forecasts assume strong passenger growth for travel between the United States and other world regions. Any slowing of worldwide economic activity could seriously inhibit the growth in global passenger demand.
With the merger of American Airlines and US Airways completed, the outlook for fur-ther consolidation via mergers and acquisi-tions (M&A) appears to be rather limited. Based on FY 2015 data, the Big 3 (Ameri-can, Delta, and United) plus Southwest ac-counted for more than 76% of the U.S. air-line industry capacity and traffic. Of the network carriers, only Alaska remains inde-pendent, although it does have code share agreements with both American and Delta. There appears to be little appetite for further consolidation as there are significant obsta-cles. For many low cost carriers, the sheer size of merger transactions or the amount of financial risk associated with a merger makes further merger activity unlikely. For the network carriers, regulatory authorities are increasing their scrutiny over carrier practices (e.g. Department of Justice inves-tigation into impacts of “capacity discipline” on pricing) suggesting and any future pro-posed merger will face a less receptive au-dience than in the past decade.
However, U.S. airlines continue to explore other options including global alliances. Many of the major carriers in the U.S. are members of global alliances that operate with some measure of anti-trust immunity from the U.S. DOT. While anti-trust immuni-ty may provide flexibility for airline operators across borders, it may create an anti-
competitive environment in the marketplace. These market consolidating vehicles, par-ticularly the anti-trust immunity provisions, may invite increased regulatory scrutiny. If such oversights are launched in the future, this will complicate the evolving structure of the airline industry and may impact demand via new regulations.
The forecast assumes the addition of siza-ble numbers of large regional jets (70 to 90 seats) into the fleet of regional carriers. However, network carrier consolidation and new rules on pilot training have left regional carriers saddled with either excess capacity or a lack of pilots. Although air travel de-mand continues to recover, the bankruptcy filing of Republic Airlines in February 2016 is a reminder that financial pressures on regional operators have not abated. Net-work carriers continue to make adjustments to the size and breadth of their networks, without providing opportunities for regional carriers to backfill the loss of the mainline service. Delta is well along in its plans to reduce its small (read 50 seat) regional jet fleet and plans to retire another 50 to bring its total to just 125, down from almost 500 at the end of 2009. United has reduced the number of small regional jets flown by its partners from an estimated 380 in 2012 to 242 by the end of 2015 with a target of 100 by 2019. It is adding 85 Embraer 175’s to its partners’ regional fleet to partially replace the reduction in small jet flying. Meanwhile the new American Airways is planning to reduce its small regional jet fleet by 29 air-craft in 2016, after removing 31 in 2015. At the same time the carrier plans to add 49 larger regional jets to its fleet in 2016. While these actions may provide some op-portunities for well positioned regional carri-ers, the overall impact of consolidation so
40
far has been to reduce opportunities for re-gional flying substantially.
After suffering through a significant down-turn in 2009, business and corporate avia-tion have seen a partial recovery during the past five years. The pace of the recovery in business and corporate aviation is largely based upon the future prospects of econom-ic growth and corporate profits. Future un-certainty in these leading indicators could pose a risk to the forecast, but the risk is not limited to these factors. Public perception of business and corporate aviation, potential environmental regulations and taxes, along with increased security measures placed on business jets, will place downward pressure on the forecast. On the other hand, while corporate profits are currently high, per-ceived economic and political uncertainties are causing companies to postpone their purchase of new business aircraft. Transla-tion of this pent-up demand into sales of business jets in the near future can create an upward impact on the forecast. The im-pact of fuel price decline on business air-craft demand is also uncertain. While a positive effect on corporate profits will in-crease the demand, revenue losses result-ing from low fuel prices may move the de-mand in the other direction.
Other factors, such as new and more effi-cient product offerings and increased com-petition from new entrant manufacturers, serve to broaden the potential of the indus-try. The potential easing of regulations on the use of airspace in foreign countries would offer promising scenarios for busi-ness jet manufacturers. Raising the level of security restrictions, and the subsequent travel hassles placed on airline passengers, could make corporate jet travel look increas-ingly appealing.
Not only is the volume of aircraft operating at most large hubs expected to increase over the next 20 years, but the mix of air-craft is changing for this same period. The expected increases in the numbers of re-gional jets and business jets will increase the impact on the national airspace system and make the FAA’s job more challenging. This change in the mix of aircraft will impact workload strictly due to the increasing de-mand for aviation services projected over the forecast period.
While overall activity at FAA and contract towers increased 0.2 percent in 2015, activi-ty at the Core 30 airports increased 0.7 per-cent in 2015 and delays remained at histori-cally high levels at many U.S. airports. FAA forecasts operations at these airports to grow substantially faster than the overall national trend. As demand recovers and workload increases, congestion and delays could become a critical limit to growth over the forecast period. FAA’s forecasts of both demand and operations are unconstrained in that they assume that there will be suffi-cient infrastructure to handle the projected levels of activity. Should the infrastructure be inadequate and result in even more con-gestion and delays, it is likely that the fore-casts of both demand and operations would not be achieved.
There are concerns that aviation’s impact on the environment could potentially restrict the ability of the aviation sector to grow to meet national economic and mobility needs. Airport expansion or new construction is often a contentious issue because of noise, air quality, and water quality concerns. There is also an ongoing effort to address the climate impacts of aviation. Aviation currently accounts for 2 to 3 percent of global carbon emissions, but this percent-age is expected to increase with the growth
41
in operations unless mitigated with new technologies and standards, renewable fuels, operational improvements and poten-tially as a gap filler, market based measures. While certain measures to ad-dress climate impacts can result in reduced costs, such as increased fuel efficiency, other measures, such as market instru-ments could pose additional constraints on growth. Energy concerns are also rising, driven by spikes in fuel prices, supply and security issues, and concerns about fossil fuel emissions contributing to global climate change. Lack of progress in improving the environmental and energy outlook for the future fleet may result in more access re-strictions or operating limitations on the fleet in service which in turn may depress growth. By contrast, breakthroughs in qui-eter, cleaner aircraft technologies and re-newable fuels could reduce environmental and energy constraints on the forecast, and enable sustainable growth.
42
Appendix A: Alternative Forecast Scenarios
Uncertainty exists in all industries, but es-pecially in the commercial air travel industry. As volatility in the global environment has increased, the importance of scenarios for planning purposes has increased. In order to help stakeholders better prepare for the future, the FAA has provides alternative scenarios to our baseline forecasts of airline traffic and capacity. To create the baseline domestic forecast, economic assumptions from IHS Global In-sight’s 10-year and 30-year U.S. Macro Baselines were used. To develop the alter-native scenarios, assumptions from IHS Global Insight’s 10-year and 30-year opti-mistic and pessimistic forecasts from their January 2016 Baseline U.S. Economic Out-look were used were used. Inputs from these alternative scenarios were used to create a “high” and “low” traffic, capacity, and yield forecast. International passengers and traffic are pri-marily driven by country specific Gross Do-mestic Product (GDP) forecasts provided by IHS Global Insight. Thus, the alternative scenarios use inputs based on ratios de-rived from IHS Global Insight’s Major Trad-ing Partner and Minor Trading Partners op-timistic and pessimistic forecasts in order to create a high and low case.
Scenario Assumptions
The FAA’s domestic baseline forecast as-sumes that the economy recovers from the current downturn and experiences very low oil prices in the short term, suffers no major swings in macro-economic policy, or finan-cial sector collapses.
The FAA’s high case forecast uses IHS Global Insight’s optimistic forecast. The op-timistic forecast sees improved business confidence leading to renewed vigor in the labor market, consumer spending, and sus-tained improvements in the housing sector as well as sustained low consumer prices, higher real personal consumption expendi-ture, relatively low Brent crude prices, and a high GDP. Furthermore, in the optimistic case, it is assumed that fiscal deficits will diminish substantially in North America, Western Europe, and Japan. In this scenar-io real personal consumption expenditure (PCE) per capita growth averages 0.4 per-centage points faster per year than the baseline forecast6 and unemployment aver-ages 0.3 points lower on a fiscal year basis than the baseline.7
Conversely, FAA’s low case forecast uses IHS Global Insight’s pessimistic scenario; in this forecast, the same assumptions apply as in the optimistic case, only the U.S. economy recovers at a much slower pace and the prices of Brent crude rise higher than in the base case. Moreover, the Euro-zone’s recovery will stall and growth in emerging markets will be less robust. Last-ly, real PCE per capita grows 0.4 percent-age points slower per year than in the base-line; and unemployment, on average, is
7 Real personal consumption expenditure per capita and unemployment are used as an input variables to the FAA’s base, high and low fore-casts of enplanements.
43
0.35 points higher on an annual basis than in the baseline.
- 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5
2015 2018 2021 2024 2027 2030 2033 2036
Annu
al P
erce
nt C
hang
e
Fiscal Year
Real Personal Consumption Expenditure per Capita
Pessimistic Baseline OptimisticSource: IHS Global Insight
321 324
334
345 355
364 372
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
290
300
310
320
330
340
350
360
370
380
2015 2016 2020 2024 2028 2032 2036
Anun
al P
erce
nt C
hang
e
Popu
latio
n ( m
illio
ns)
Fiscal Year
U.S. Population
All scenarios Annual Percent Change
Source: IHS Global Insight
44
The price of energy is one of the critical drivers in the growth of consumer prices over the forecast period. In the optimistic case, energy prices, wages, and import prices grow more slowly than in the base-
line. In the pessimistic case the opposite occurs with energy prices, wages and im-port prices rising more rapidly compared to the baseline.
4.0
4.5
5.0
5.5
6.0
6.5
2015 2018 2021 2024 2027 2030 2033 2036% o
f Pop
ulat
ion
Une
mpl
oyed
Fiscal Year
U.S. Unemployment Rate
Pessimistic Baseline OptimisticSource: IHS Global Insight
-
50
100
150
200
250
2015 2018 2021 2024 2027 2030 2033 2036
Pric
e pe
r Bar
rel (
$)
Fiscal Year
U.S. Refiners' Acquisition Cost
Pessimistic Baseline Optimistic
Source: IHS Global Insight
45
2.0
2.5
3.0
3.5
4.0
4.5
5.0
2015 2018 2021 2024 2027 2030 2033 2036
BLS
Inde
x U
nits
*
Fiscal Year
Consumer Price Index - All Urban Consumers
Pessimistic Baseline Optimistic
* BLS Units: 1982-84 = 1.00 Source: IHS Global Insight
46
Alternative Forecasts
Enplanements
In the baseline forecast, system enplane-ments are forecast to grow at an average annual rate of 2.2 percent a year over the forecast horizon of 2016-2036 (with domes-tic and international passengers up 2.0 and 3.6 percent, respectively).
In the optimistic case, enplanements grow at a quicker pace, averaging 2.7 percent per year (up 2.6 percent domestically and 3.6 percent internationally). This scenario is marked by a more favorable business envi-ronment, lower inflation, and lower fuel pric-es which make the price of flying more af-fordable to business and leisure travelers. By the end of the forecast period in 2036, system passengers in the optimistic case
are 10.7 percent above the baseline, total-ing 1.4 billion, 132 million than in the base-line.
The pessimistic case is characterized by a period of weakened consumer confidence brought on by persistent unemployment, low consumer demand, and higher inflation. In this scenario enplanements grow an aver-age of 1.7 percent per year (domestic up 1.4 percent and international up 3.6 per-cent). In the pessimistic case, system pas-sengers in 2036 are 9.8 percent below the baseline case, totaling 1.1 billion, 121 mil-lion fewer than in the baseline.
(0.5) -
0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5
2015 2018 2021 2024 2027 2030 2033 2036
Annu
al P
erce
nt C
hang
e
Fiscal Year
System Enplanements
Pessimistic Baseline Optimistic
47
Revenue Passenger Miles
In the baseline forecast, system RPMs grow at an average annual rate of 2.5 percent a year over the forecast horizon (2016-2036), with domestic RPMs increasing 2.0 percent annually and international RPMs growing 3.5 percent annually.
In the optimistic case, the faster growing economy coupled with lower energy prices drives RPMs higher than the baseline, with growth averaging 2.8 percent per year (do-
mestic and international RPMs up 2.5 and 3.5 percent, respectively).
In the pessimistic case, the combination of a slower growing economy and higher energy prices result in RPM growth averaging 2.1 percent annually with domestic markets growing 1.4 percent a year while interna-tional traffic grows 3.5 percent annually.
Available Seat Mile
In the base case, system capacity is fore-cast to increase an average of 2.5 percent annually over the forecast horizon with growth averaging 2.1 percent annually in domestic markets and 3.4 percent a year in international markets.
In the optimistic case, capacity grows at a faster clip than in the baseline forecast, av-eraging 2.9 percent annually system-wide (up 2.7 percent domestically and up 3.4 percent internationally). Carriers increase capacity compared to the baseline forecast to accommodate increased travel demand
-
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
2015 2018 2021 2024 2027 2030 2033 2036
Annu
al P
erce
nt C
hang
e
Fiscal Year
System Revenue Passenger Miles
Pessimistic Baseline Optimistic
48
brought about by a more favorable econom-ic environment.
In the pessimistic case, demand for air trav-el is lower than in the baseline, thus system
capacity grows at a slower pace of 2.2 per-cent annually (domestic growth of 1.5 per-cent annually and international up 3.4 per-cent annually).
Load Factor
System load factors over the 20-year fore-cast period are relatively similar for all three forecast scenarios. In the base case and in the optimistic scenario, system load factor rises from 84.2 percent in 2016 to 84.7 per-cent and 84.9 in 2036, respectively.
In all three scenarios it is assumed that car-riers will keep load factors on the high side by actively managing capacity (seats) to more precisely meet demand (passengers).
The domestic load factor increases over the forecast horizon from 85.1 percent to 86.5 percent in all scenarios.
The international load factor forecast is slightly different in the three scenarios, re-flecting in part the relative growth in demand and capacity in the three (Atlantic, Latin, and Pacific) international regions under each scenario.
In the base case, international load factor is relatively steady, going from 81.9 percent in 2016 to 81.7 percent in 2036, the same load factor in the optimistic and pessimistic sce-narios.
- 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5
2015 2018 2021 2024 2027 2030 2033 2036
Annu
al P
erce
nt C
hang
e
Fiscal Year
System Available Seat Miles
Pessimistic Baseline Optimistic
49
Yield
In the baseline forecast, nominal system yield increases 1.9 percent annually, going from 13.98 cents in 2016 to 21.17 cents in 2036. In domestic markets, yield in the baseline forecast rises from 14.12 cents in 2016 to 22.06 cents in 2036, while interna-tional yield rises from 13.66 cents in 2016 to 19.50 cents in 2036.
System yield rises more slowly in the opti-mistic case, up 1.8 percent annually to be 20.68 cents at the end of the forecast peri-od. Domestic yield increases to 21.24 cents while international yield increases to 19.50 cents. The slower growth in yield in the high case is due to advancements in tech-nology, gains in productivity, more favorable fuel prices, and lower inflation. Increased
competition is also assumed in this scenar-io. In the domestic market, fares are driven lower than baseline levels due to increased levels of competition between low cost and legacy carriers. In the international market, increased competition from growing liberali-zation puts downward pressure on fares.
In the pessimistic case, nominal yields rise more rapidly than in the baseline, growing an average of 2.5 percent annually, reach-ing 24.18 cents by 2036 (26.98 cents do-mestically and 19.52 cents internationally). This scenario reflects higher general infla-tion and higher energy prices than in the baseline, forcing carriers to increase fares in order to cover the higher costs of fuel, labor, and capital.
50
TAB
LE A
-1
FAA
FORE
CAS
T EC
ONO
MIC
ASS
UMPT
IONS
FISC
AL Y
EARS
201
5-20
36
Hist
oric
alFO
RECA
STPE
RCEN
T AV
ERAG
E AN
NUAL
GRO
WTH
Varia
ble
Scen
ario
2015
E20
1620
2120
2620
3120
3620
15-1
620
16-2
120
16-2
620
16-3
120
16-3
6Ec
onom
icAs
sum
ptio
nsR
eal P
erso
nal C
onsu
mpt
ion
Pes
sim
istic
34,6
7435
,169
36,9
7039
,771
42,3
2645
,011
1.4%
1.0%
1.2%
1.2%
1.2%
Exp
endi
ture
per
Cap
itaB
asel
ine
34,6
7435
,433
39,0
5641
,912
45,4
4449
,429
2.2%
2.0%
1.7%
1.7%
1.7%
(200
9 $)
Opt
imis
tic34
,674
35,3
5640
,120
44,2
0048
,792
53,7
512.
0%2.
6%2.
3%2.
2%2.
1%
Ref
iner
s A
cqui
sitio
n C
ost -
Pes
sim
istic
5735
9414
717
220
6-3
8.7%
22.1
%15
.5%
11.3
%9.
3%A
vera
ge -
$ P
er B
arre
lB
asel
ine
5743
8312
913
915
2-2
3.9%
13.9
%11
.6%
8.1%
6.5%
O
ptim
istic
5747
7311
811
912
4-1
6.3%
8.9%
9.5%
6.3%
4.9%
C
onsu
mer
Pric
e In
dex
Pes
sim
istic
2.4
2.4
2.8
3.3
3.9
4.7
0.6%
3.0%
3.2%
3.3%
3.4%
All
Urb
an, 1
982-
84 =
1.0
Bas
elin
e2.
42.
42.
73.
13.
43.
90.
9%2.
5%2.
5%2.
5%2.
4%O
ptim
istic
2.4
2.4
2.7
3.1
3.4
3.8
1.4%
2.3%
2.5%
2.3%
2.3%
Civi
lian
Une
mpl
oym
ent R
ate
Pes
sim
istic
5.5
5.2
6.0
5.7
5.4
5.5
-4.6
%3.
0%0.
8%0.
3%0.
3%(%
)B
asel
ine
5.5
4.9
4.7
4.8
4.7
4.8
-9.4
%-0
.8%
-0.3
%-0
.3%
-0.2
%O
ptim
istic
5.5
4.9
4.7
4.5
4.4
4.4
-10.
4%-0
.7%
-0.8
%-0
.8%
-0.5
%S
ourc
e: IH
S G
loba
l Ins
ight
51
TAB
LE A
-2
FAA
FORE
CAS
T O
F AV
IATI
ON
ACTI
VITY
*
FISC
AL Y
EARS
201
5-20
36
Hist
oric
alFO
RECA
STPE
RCEN
T AV
ERAG
E AN
NUAL
GRO
WTH
Varia
ble
Scen
ario
2015
E20
1620
2120
2620
3120
3620
15-1
620
16-2
120
16-2
620
16-3
120
16-3
6Sy
stem
Av
iatio
n Ac
tivity
Av
aila
ble
Sea
t Mile
sP
essi
mis
tic1,
066
1,09
41,
186
1,33
71,
499
1,67
42.
6%1.
6%2.
0%2.
1%2.
1%(B
IL)
Bas
elin
e1,
066
1,09
41,
252
1,40
11,
591
1,80
62.
6%2.
7%2.
5%2.
5%2.
5%O
ptim
istic
1,06
61,
094
1,28
91,
475
1,70
21,
952
2.6%
3.3%
3.0%
3.0%
2.9%
R
even
ue P
asse
nger
Mile
sP
essi
mis
tic88
992
11,
002
1,13
11,
269
1,41
63.
6%1.
7%2.
1%2.
2%2.
2%(B
IL)
Bas
elin
e88
992
11,
058
1,18
61,
348
1,53
13.
6%2.
8%2.
6%2.
6%2.
6%O
ptim
istic
889
921
1,09
01,
250
1,44
41,
657
3.6%
3.4%
3.1%
3.0%
3.0%
Enp
lane
men
tsP
essi
mis
tic78
681
985
493
81,
026
1,11
94.
2%0.
8%1.
4%1.
5%1.
6%(M
IL)
Bas
elin
e78
681
991
699
81,
111
1,24
04.
2%2.
3%2.
0%2.
1%2.
1%O
ptim
istic
786
819
951
1,06
71,
213
1,37
24.
2%3.
0%2.
7%2.
7%2.
6%
Psg
r Car
rier M
iles
Flow
nP
essi
mis
tic7,
152
7,28
27,
578
8,33
49,
135
9,98
21.
8%0.
8%1.
4%1.
5%1.
6%(M
IL)
Bas
elin
e7,
152
7,28
28,
065
8,79
59,
787
10,9
071.
8%2.
1%1.
9%2.
0%2.
0%
Opt
imis
tic7,
152
7,28
28,
340
9,32
910
,570
11,9
191.
8%2.
8%2.
5%2.
5%2.
5%
P
sgr C
arrie
r Dep
artu
res
Pes
sim
istic
8,91
38,
874
9,02
49,
648
10,1
8210
,740
-0.4
%0.
3%0.
8%0.
9%1.
0%(0
00s)
Bas
elin
e8,
913
8,94
39,
683
10,2
7511
,047
11,9
390.
3%1.
6%1.
4%1.
4%1.
5%O
ptim
istic
8,91
38,
972
10,0
2910
,994
12,0
6213
,205
0.7%
2.3%
2.1%
2.0%
2.0%
Nom
inal
Pas
seng
er Y
ield
Pes
sim
istic
14.3
613
.71
16.4
118
.91
21.3
624
.18
-4.6
%3.
7%3.
3%3.
0%2.
9%(c
ents
)B
asel
ine
14.3
613
.98
16.0
518
.07
19.5
321
.17
-2.6
%2.
8%2.
6%2.
3%2.
1%O
ptim
istic
14.3
614
.14
15.8
617
.94
19.2
020
.68
-1.5
%2.
3%2.
4%2.
1%1.
9%
* In
clud
es d
omes
tic a
nd in
tern
atio
nal a
ctiv
ity.
52
TAB
LE A
-3
FAA
FORE
CAS
T O
F D
OM
ESTI
C A
VIAT
ION
ACTI
VITY
FISC
AL Y
EARS
201
5-20
36
Hist
oric
alFO
RECA
STPE
RCEN
T AV
ERAG
E AN
NUAL
GRO
WTH
Varia
ble
Scen
ario
2015
E20
1620
2120
2620
3120
3620
15-1
620
16-2
120
16-2
620
16-3
120
16-3
6Do
mes
ticAv
iatio
n Ac
tivity
Av
aila
ble
Sea
t Mile
sP
essi
mis
tic74
476
978
886
394
21,
023
3.4%
0.5%
1.2%
1.4%
1.4%
(BIL
)B
asel
ine
744
769
854
927
1,03
31,
156
3.4%
2.1%
1.9%
2.0%
2.1%
Opt
imis
tic74
476
989
21,
001
1,14
31,
301
3.4%
3.0%
2.7%
2.7%
2.7%
R
even
ue P
asse
nger
Mile
sP
essi
mis
tic62
965
467
674
381
388
54.
1%0.
7%1.
3%1.
5%1.
5%(B
IL)
Bas
elin
e62
965
473
379
889
299
94.
1%2.
3%2.
0%2.
1%2.
1%O
ptim
istic
629
654
765
862
987
1,12
54.
1%3.
2%2.
8%2.
8%2.
7%
Enp
lane
men
tsP
essi
mis
tic69
672
674
180
386
793
14.
2%0.
4%1.
0%1.
2%1.
3%(M
IL)
Bas
elin
e69
672
680
386
395
11,
052
4.2%
2.0%
1.7%
1.8%
1.9%
Opt
imis
tic69
672
683
893
11,
053
1,18
34.
2%2.
9%2.
5%2.
5%2.
5%
Psg
r Car
rier M
iles
Flow
nP
essi
mis
tic5,
655
5,77
45,
753
6,17
16,
608
7,05
92.
1%-0
.1%
0.7%
0.9%
1.0%
(MIL
)B
asel
ine
5,65
55,
774
6,23
76,
629
7,25
67,
978
2.1%
1.6%
1.4%
1.5%
1.6%
O
ptim
istic
5,65
55,
774
6,51
07,
160
8,03
48,
983
2.1%
2.4%
2.2%
2.2%
2.2%
Psg
r Car
rier D
epar
ture
sP
essi
mis
tic8,
273
8,22
18,
251
8,74
29,
126
9,51
2-0
.6%
0.1%
0.6%
0.7%
0.7%
(000
s)B
asel
ine
8,27
38,
289
8,90
69,
365
9,98
610
,703
0.2%
1.4%
1.2%
1.2%
1.3%
Opt
imis
tic8,
273
8,31
99,
250
10,0
7910
,994
11,9
600.
5%2.
1%1.
9%1.
9%1.
8%
Nom
inal
Pas
seng
er Y
ield
Pes
sim
istic
14.4
413
.73
17.0
820
.16
23.2
726
.98
-5.0
%4.
5%3.
9%3.
6%3.
4%(c
ents
)B
asel
ine
14.4
414
.12
16.5
218
.83
20.3
522
.06
-2.3
%3.
2%2.
9%2.
5%2.
3%O
ptim
istic
14.4
414
.34
16.2
318
.59
19.7
921
.24
-0.7
%2.
5%2.
6%2.
2%2.
0%
53
TA
BLE
A-4
FAA
FORE
CAS
T O
F IN
TERN
ATIO
NAL
AVIA
TIO
N AC
TIVI
TY*
FISC
AL Y
EARS
201
5-20
36
Hist
oric
alFO
RECA
STPE
RCEN
T AV
ERAG
E AN
NUAL
GRO
WTH
Varia
ble
Scen
ario
2015
E20
1620
2120
2620
3120
3620
15-1
620
16-2
120
16-2
620
16-3
120
16-3
6In
tern
atio
nal
Avia
tion
Activ
ity
Avai
labl
e S
eat M
iles
Pes
sim
istic
323
325
397
474
558
650
0.8%
4.1%
3.8%
3.7%
3.5%
(BIL
)B
asel
ine
323
325
398
474
558
650
0.8%
4.1%
3.8%
3.7%
3.5%
Opt
imis
tic32
332
539
847
455
865
10.
8%4.
1%3.
8%3.
7%3.
5%
Rev
enue
Pas
seng
er M
iles
Pes
sim
istic
260
266
325
388
456
531
2.2%
4.1%
3.8%
3.7%
3.5%
(BIL
)B
asel
ine
260
266
325
388
456
532
2.2%
4.1%
3.8%
3.7%
3.5%
Opt
imis
tic26
026
632
538
845
653
22.
2%4.
1%3.
8%3.
7%3.
5%
Enp
lane
men
tsP
essi
mis
tic89
9311
313
516
018
84.
3%3.
9%3.
8%3.
7%3.
6%(M
IL)
Bas
elin
e89
9311
313
516
018
84.
3%3.
9%3.
8%3.
7%3.
6%O
ptim
istic
8993
113
135
160
189
4.3%
4.0%
3.8%
3.7%
3.6%
Psg
r Car
rier M
iles
Flow
nP
essi
mis
tic14
9715
0818
2621
6325
2729
230.
8%3.
9%3.
7%3.
5%3.
4%(M
IL)
Bas
elin
e14
9715
0818
2921
6625
3129
290.
8%3.
9%3.
7%3.
5%3.
4%
Opt
imis
tic14
9715
0818
3021
6925
3629
360.
8%3.
9%3.
7%3.
5%3.
4%
P
sgr C
arrie
r Dep
artu
res
Pes
sim
istic
640
654
772
906
1056
1228
2.1%
3.4%
3.3%
3.2%
3.2%
(000
s)B
asel
ine
640
654
777
910
1062
1236
2.1%
3.5%
3.4%
3.3%
3.2%
Opt
imis
tic64
065
477
991
510
6912
452.
1%3.
6%3.
4%3.
3%3.
3%
Nom
inal
Pas
seng
er Y
ield
Pes
sim
istic
14.1
613
.66
15.0
116
.51
17.9
519
.52
-3.6
%1.
9%1.
9%1.
8%1.
8%(c
ents
)B
asel
ine
14.1
613
.66
15.0
116
.50
17.9
519
.50
-3.6
%1.
9%1.
9%1.
8%1.
8%O
ptim
istic
14.1
613
.66
15.0
116
.50
17.9
419
.50
-3.6
%1.
9%1.
9%1.
8%1.
8%
*Inc
lude
s m
ainl
ine
and
regi
onal
car
riers
.
54
Appendix B: FAA Forecast Accuracy
Forecasts, by their nature, have a degree of uncertainty incorporated in them. They in-volve not only statistical analyses and vari-ous scientific methods, but also judgment and reliance on industry knowledge and the forecaster’s experience to incorporate in-dustry trends not yet reflected in recent re-sults. The FAA’s annual Aerospace Fore-cast is no exception. Given the volatile na-ture of the U.S. airline industry, it is not sur-prising that each year’s forecast would con-tain a certain degree of forecast variance. Therefore, FAA forecasters have tried to build forecast models that give a consistent and predictable pattern of results. Analysts relying on the forecasts produced by the models would then be able to adjust for the predictable variance from actual results.
The table below presents an analysis of the variance from historical results for a primary forecast assumption along with five key forecast metrics during the FY 2005-2015 forecast period. Although this period has experienced industry upheaval, the FAA’s forecast methodology remained consistent during this time. For this reason, inclusion of prior periods in an analysis of forecast variance might lead to inconclusive or inac-curate implications about the accuracy of FAA’s current forecast methodology.
The table below contains the mean ab-solute percent errors for the projected val-ues versus the actual results for U.S. carri-ers’ system operations along with the pro-jected values versus actual results for U.S. GDP. Each metric has five values showing the relative forecast variance by the number of years in advance the preparation of the forecast took place. For example, the “3
Years” column for ASMs shows that the mean absolute percent error was 6.9 per-cent for ASM forecasts prepared 3 years in advance. For the period under examination, preparation of the forecasts for FY 2005 through FY 2015 occurred in FY 2001 through FY 2014. 8
8 It should be noted that the first forecasted year for each respective fiscal year is that very same year. Therefore, FY 2003’s first forecasted year is FY 2003, and the third forecasted year is FY 2005.
55
Presenting forecast variances from actual data in such a manner simplifies a review of longer-term trends. Typically, one would expect the variances to de-crease as the forecast year is closer to the year the fore-cast is prepared. Presenting forecast vari-ances in this way allows an examination of changes in the relative variances by time horizon, signaling when dramatic shifts in accuracy occur. Examination of the forecast variances re-veals several items. First, the forecast vari-ances for GDP, a key exogenous variable, are similar to the variances of the key traffic measures, Passenger Enplanements and RPMs. This suggests that a substantial amount of the forecast variance for the traf-fic variables may be attributed to the fore-cast error in the exogenous variables. Sec-
ond, all the metrics examined show increas-ing variances as the forecast time horizon lengthens. Third, the variance in the IFR handled aircraft up to 3 years out is more than 1.5 percentage points larger than the ASM forecast variance. This suggests that within a 3 year forecast horizon carriers have been able to accommodate changes in capacity by means other than adjusting op-erations. Many carriers have been system-atically reducing the number smaller region-al jets in their fleets, replacing them with larger 70-90 seat aircraft. This has allowed carriers to increase capacity without in-creasing flights. However the forecast vari-ance in these two metrics narrows as the time horizon increases suggesting that over the long run ASM growth is a good indicator of operations growth.
Mean Absolute Percent Error (Combined FY 2005 - FY 2015)Forecast (Forecast Variance from Actual)Variable Forecast Performed Years Prior to Actual
1 Year 2 Years 3 Years 4 Years 5 Years
U.S. Real GDP 2.0% 3.4% 5.3% 7.1% 8.3%ASMs 0.8% 3.8% 6.9% 10.4% 15.8%RPMs 1.1% 3.0% 5.5% 8.0% 11.7%Passenger Enplanements 1.0% 2.7% 5.4% 7.8% 11.6%Mainline Domestic Yield 3.4% 4.7% 6.4% 8.1% 10.4%IFR Aircraft Handled* 2.2% 5.5% 8.4% 11.5% 15.9%*Total - scheduled and nonscheduled commercial plus noncommercial
SYSTEM SCHEDULED PASSENGER ACTIVITYFORECAST EVALUATION
U.S. AIR CARRIERS
56
Appendix C: Forecast Tables
57
TAB
LE 1
U.S.
SHO
RT-
TER
M E
CO
NOM
IC F
OR
ECA
STS
EC
ON
OM
ICFI
SC
AL
YE
AR
201
5FI
SC
AL
YE
AR
201
6FI
SC
AL
YE
AR
201
7V
AR
IAB
LE1S
T. Q
TR.
2ND
. QTR
.3R
D Q
TR.
4TH
. QTR
.1S
T. Q
TR.
2ND
. QTR
.3R
D Q
TR.
4TH
. QTR
.1S
T. Q
TR.
2ND
. QTR
.3R
D Q
TR.
4TH
. QTR
.
Real
Per
sona
l Con
sum
ptio
n Ex
pend
iture
per
Cap
ita
(2
009
$)34
,440
34,5
3334
,767
34,9
5635
,145
35,3
2335
,520
35,7
4135
,954
36,1
8236
,399
36,5
89A
nnua
l rat
e - n
ot s
easo
nally
adj
uste
d1.
1%2.
7%2.
2%2.
2%2.
0%2.
2%2.
5%2.
4%2.
6%2.
4%2.
1%
Refin
ers'
Acqu
isiti
on C
ost -
Ave
rage
(Dol
lars
per
bar
rel)
73.7
848
.01
57.4
347
.61
38.1
137
.70
43.0
553
.75
55.7
953
.36
57.3
262
.98
Ann
ual r
ate
- not
sea
sona
lly a
djus
ted
-82.
1%10
4.8%
-52.
8%-5
8.9%
-4.2
%70
.1%
143.
0%16
.0%
-16.
3%33
.2%
45.7
%
Cons
umer
Pric
e In
dex
(198
2-84
equ
als
100)
237.
023
5.2
236.
923
7.9
237.
723
7.5
238.
824
1.6
243.
424
4.3
246.
224
8.2
Sea
sona
lly A
djus
ted
Ann
ual R
ate
-3.1
%3.
0%1.
6%-0
.3%
-0.3
%2.
3%4.
6%3.
1%1.
5%3.
1%3.
3%S
ourc
e: IH
S G
loba
l Ins
ight
58
TAB
LE 2
U.S.
LO
NG-T
ERM
EC
ONO
MIC
FO
REC
AST
S
RE
AL
GR
OS
SR
EA
L P
ER
SO
NA
L C
ON
SU
MP
TIO
NC
ON
SU
ME
R P
RIC
ER
EFI
NE
RS
' AC
QU
ISIT
ION
C
OS
TFI
SC
AL
DO
ME
STI
C P
RO
DU
CT
EXP
EN
DIT
UR
E P
ER
CA
PIT
AIN
DE
XA
VE
RA
GE
YE
AR
(Bill
ions
200
9 $)
(200
9 $)
(198
2-84
=1.0
0)(D
olla
rs p
er b
arre
l)H
isto
rical
2001
12,6
7629
,227
1.76
25.8
0
2008
14,9
3433
,049
2.14
101.
5220
0914
,428
32,0
982.
1454
.68
2010
14,6
8532
,186
2.17
74.6
120
1114
,958
32,7
872.
2396
.00
2012
15,3
0633
,033
2.29
102.
8120
1315
,489
33,2
692.
3210
0.78
2014
15,8
6433
,837
2.36
97.7
920
15E
16,2
7034
,674
2.37
56.7
1
Fore
cast
2016
16,6
7535
,433
2.39
43.1
520
1717
,184
36,2
822.
4657
.36
2018
17,6
4837
,068
2.52
62.4
520
1918
,099
37,8
252.
5869
.03
2020
18,5
6738
,464
2.64
75.6
9
2021
18,9
8339
,056
2.70
82.6
220
2219
,391
39,6
362.
7892
.31
2023
19,8
0940
,172
2.85
105.
1620
2420
,246
40,7
232.
9311
6.80
2025
20,6
8241
,306
3.00
124.
41
2026
21,1
2441
,912
3.07
128.
9820
2721
,588
42,5
203.
1413
2.31
2028
22,0
5543
,226
3.21
134.
9120
2922
,541
43,9
633.
2813
6.39
2030
23,0
3344
,692
3.36
137.
57
2031
23,5
3145
,444
3.44
138.
7820
3224
,035
46,2
283.
5113
9.94
2033
24,5
5847
,036
3.60
142.
3720
3425
,096
47,8
303.
6814
5.35
2035
25,6
4948
,627
3.77
148.
9720
3626
,204
49,4
293.
8515
2.26
Avg
Ann
ual G
row
th20
01-1
51.
8%1.
2%2.
1%5.
8%20
15-1
62.
5%2.
2%0.
9%-2
3.9%
2015
-25
2.4%
1.8%
2.4%
8.2%
2015
-36
2.3%
1.7%
2.3%
4.8%
Sou
rce:
IHS
Glo
bal I
nsig
ht
59
TAB
LE 3
INTE
RNA
TIO
NAL
GD
P FO
REC
AST
S B
Y TR
AVE
L R
EGIO
N
GR
OS
S D
OM
ES
TIC
PR
OD
UC
T(In
Bill
ions
of 2
010
U.S
. Dol
lars
)
CA
LEN
DA
R Y
EA
RC
AN
AD
A
EU
RO
PE
/ A
FRIC
A/ M
IDD
LE
EA
ST
LATI
N A
ME
RIC
A /
CA
RIB
BE
AN
/ M
EXI
CO
JAP
AN
/ P
AC
IFIC
B
AS
IN /
CH
INA
/ O
THE
R A
SIA
/ A
US
TRA
LIA
/ N
EW
ZE
ALA
ND
WO
RLD
His
toric
al20
011,
359
20,2
793,
835
12,1
0850
,418
2008
1,60
525
,004
5,01
117
,110
63,7
4120
091,
561
24,1
404,
950
17,4
4062
,686
2010
1,61
424
,863
5,24
718
,736
65,4
2420
111,
662
25,5
015,
488
19,6
2367
,477
2012
1,69
425
,703
5,64
420
,554
69,1
3720
131,
728
25,9
445,
801
21,5
3370
,778
2014
1,77
026
,371
5,86
522
,459
72,6
2020
15E
1,78
926
,777
5,83
923
,402
74,3
55
Fore
cast
2016
1,82
027
,296
5,84
624
,391
76,3
7320
171,
861
27,9
235,
956
25,4
5578
,697
2018
1,90
428
,606
6,10
626
,603
81,1
8920
191,
949
29,2
886,
284
27,8
7083
,821
2020
1,99
330
,010
6,47
729
,190
86,5
61
2021
2,03
730
,746
6,67
330
,572
89,3
3320
222,
080
31,4
876,
881
31,9
9292
,163
2023
2,12
332
,235
7,09
933
,437
95,0
5520
242,
166
32,9
937,
323
34,9
2098
,006
2025
2,21
033
,751
7,55
436
,413
100,
970
2026
2,25
434
,503
7,78
737
,930
103,
973
2027
2,29
835
,267
8,02
739
,467
107,
033
2028
2,34
336
,043
8,27
541
,002
110,
127
2029
2,38
836
,829
8,53
142
,529
113,
240
2030
2,43
637
,630
8,79
344
,047
116,
370
2031
2,48
338
,439
9,06
545
,599
119,
560
2032
2,53
239
,251
9,34
547
,155
122,
775
2033
2,58
240
,076
9,63
348
,761
126,
074
2034
2,63
340
,912
9,92
950
,370
129,
416
2035
2,68
541
,757
10,2
3351
,998
132,
810
2036
2,73
942
,615
10,5
4653
,671
136,
273
Avg
Ann
ual G
row
th20
01-1
52.
0%2.
0%3.
3%4.
9%2.
8%20
15-1
61.
8%3.
5%-0
.3%
8.6%
5.2%
2015
-25
2.1%
2.5%
2.6%
5.0%
3.4%
2015
-36
2.0%
2.3%
2.8%
4.2%
3.0%
Sou
rce:
G
loba
l Ins
ight
web
site
, GD
P C
ompo
nent
s Ta
bles
(Int
erim
For
ecas
t, M
onth
ly)
60
TAB
LE 4
INTE
RNA
TIO
NAL
GD
P FO
REC
AST
S –
SELE
CTE
D A
REA
S/C
OUN
TRIE
S
GR
OS
S D
OM
ES
TIC
PR
OD
UC
T(In
Bill
ions
of 2
010
U.S
. Dol
lars
)N
OR
THC
ALE
ND
AR
AM
ER
ICA
UN
ITE
DY
EA
R(N
AFT
A)
EU
RO
ZON
EK
ING
DO
MJA
PA
NC
HIN
AH
isto
rical
2001
15,0
7211
,486
2,10
85,
125
2,41
0
2008
17,6
6612
,983
2,47
15,
569
4,99
920
0917
,156
12,4
002,
367
5,26
25,
461
2010
17,6
3012
,648
2,40
45,
510
6,04
120
1117
,960
12,8
612,
451
5,48
96,
614
2012
18,3
7412
,764
2,48
05,
585
7,12
520
1318
,655
12,7
352,
533
5,67
17,
673
2014
19,1
0512
,847
2,60
85,
663
8,23
120
15E
19,5
4213
,044
2,67
15,
692
8,79
1
Fore
cast
2016
20,0
7413
,264
2,73
55,
750
9,34
320
1720
,630
13,4
992,
803
5,78
49,
938
2018
21,1
8213
,723
2,87
05,
824
10,5
7620
1921
,736
13,9
232,
933
5,89
611
,260
2020
22,2
9314
,141
3,00
05,
958
11,9
87
2021
22,7
9714
,364
3,06
96,
017
12,7
5820
2223
,306
14,5
843,
136
6,07
413
,538
2023
23,8
3614
,802
3,20
46,
131
14,3
2220
2424
,373
15,0
233,
271
6,18
715
,141
2025
24,9
0815
,238
3,33
96,
243
15,9
59
2026
25,4
6015
,455
3,40
76,
299
16,7
9120
2726
,031
15,6
733,
478
6,35
217
,632
2028
26,6
1715
,891
3,54
86,
404
18,4
5920
2927
,216
16,1
123,
621
6,45
519
,260
2030
27,8
1916
,334
3,69
56,
504
20,0
45
2031
28,4
3316
,559
3,77
06,
550
20,8
5020
3229
,057
16,7
813,
848
6,59
621
,639
2033
29,6
9817
,006
3,92
66,
641
22,4
5220
3430
,359
17,2
344,
005
6,68
423
,251
2035
31,0
3917
,461
4,08
56,
727
24,0
4720
3631
,724
17,6
884,
167
6,76
724
,863
Avg
Ann
ual G
row
th20
01-1
51.
9%0.
9%1.
7%0.
8%9.
7%20
15-1
62.
7%1.
7%2.
4%1.
0%6.
3%20
15-2
52.
5%1.
6%2.
3%0.
9%6.
1%20
15-3
62.
3%1.
5%2.
1%0.
8%5.
1%S
ourc
e:
Glo
bal I
nsig
ht w
ebsi
te, G
DP
Com
pone
nts
Tabl
es (I
nter
im F
orec
ast,
Mon
thly
)
61
TAB
LE 5
U.S.
CO
MM
ERC
IAL
AIR
CA
RR
IER
S1
TOTA
L SC
HED
ULED
U.S
. PA
SSEN
GER
TR
AFF
IC
FIS
CA
LR
EV
EN
UE
PA
SS
EN
GE
R E
NP
LAN
EM
EN
TS (M
illio
ns)
RE
VE
NU
E P
AS
SE
NG
ER
MIL
ES
(Bill
ions
)Y
EA
RD
OM
ES
TIC
INTE
RN
ATI
ON
AL
TOTA
L D
OM
ES
TIC
INTE
RN
ATI
ON
AL
TOTA
LH
isto
rical
2001
625
5768
250
818
369
1
2008
681
7875
959
523
482
820
0963
174
704
549
221
770
2010
635
7771
255
523
178
620
1165
081
731
572
242
815
2012
654
8373
757
824
482
220
1365
485
739
584
250
834
2014
669
8875
760
025
785
720
15E
696
8978
662
926
088
9
Fore
cast
2016
726
9381
965
426
692
120
1774
297
839
670
277
947
2018
760
101
860
688
289
977
2019
776
105
881
704
301
1,00
620
2079
010
989
971
931
31,
033
2021
803
113
916
733
325
1,05
820
2281
411
793
174
533
71,
083
2023
824
122
945
756
350
1,10
620
2483
512
696
176
836
21,
131
2025
848
131
979
783
375
1,15
8
2026
863
135
998
798
388
1,18
620
2787
814
01,
018
814
401
1,21
520
2889
514
51,
040
833
414
1,24
720
2991
415
01,
063
852
428
1,28
020
3093
215
51,
087
872
442
1,31
4
2031
951
160
1,11
189
245
61,
348
2032
971
165
1,13
691
347
11,
384
2033
991
171
1,16
293
448
51,
420
2034
1,01
117
61,
188
956
500
1,45
620
351,
031
182
1,21
397
751
61,
493
2036
1,05
218
81,
240
999
532
1,53
1
Avg
Ann
ual G
row
th20
01-1
50.
8%3.
3%1.
0%1.
5%2.
5%1.
8%20
15-1
64.
2%4.
3%4.
2%4.
1%2.
2%3.
6%20
15-2
52.
0%3.
9%2.
2%2.
2%3.
7%2.
7%20
15-3
62.
0%3.
6%2.
2%2.
2%3.
5%2.
6%S
ourc
e: F
orm
s 41
and
298
-C, U
.S. D
epar
tmen
t of T
rans
porta
tion.
1 Sum
of U
.S. M
ainl
ine
and
Reg
iona
l Air
Car
riers
.
62
TAB
LE 6
U.S.
CO
MM
ERC
IAL
AIR
CA
RR
IER
S1
SCHE
DUL
ED P
ASS
ENG
ER C
APA
CIT
Y, T
RA
FFIC
, AND
LO
AD
FA
CTO
RS
DO
ME
STI
CIN
TER
NA
TIO
NA
LS
YS
TEM
FIS
CA
LA
SM
sR
PM
s%
LO
AD
AS
Ms
RP
Ms
% L
OA
DA
SM
sR
PM
s%
LO
AD
YE
AR
(BIL
)(B
IL)
FAC
TOR
(BIL
)(B
IL)
FAC
TOR
(BIL
)(B
IL)
FAC
TOR
His
toric
al20
0173
150
869
.424
718
374
.397
869
170
.6
2008
750
595
79.3
293
234
79.9
1,04
282
879
.520
0968
254
980
.428
322
178
.196
677
079
.720
1067
955
581
.728
123
182
.196
178
681
.820
1169
357
282
.530
024
280
.799
481
582
.020
1269
457
883
.230
024
481
.499
582
282
.620
1370
058
483
.430
325
082
.61,
003
834
83.2
2014
711
600
84.4
315
257
81.4
1,02
685
783
.520
15E
744
629
84.5
323
260
80.7
1,06
688
983
.4
Fore
cast
2016
769
654
85.1
325
266
81.9
1,09
492
184
.220
1778
567
085
.333
927
781
.91,
124
947
84.3
2018
805
688
85.5
353
289
81.9
1,15
897
784
.420
1982
370
485
.636
830
181
.81,
191
1,00
684
.420
2083
971
985
.738
331
381
.81,
222
1,03
384
.5
2021
854
733
85.8
398
325
81.8
1,25
21,
058
84.5
2022
868
745
85.9
412
337
81.8
1,28
01,
083
84.6
2023
880
756
86.0
428
350
81.8
1,30
71,
106
84.6
2024
893
768
86.0
443
362
81.8
1,33
61,
131
84.6
2025
909
783
86.1
458
375
81.8
1,36
81,
158
84.6
2026
927
798
86.1
474
388
81.8
1,40
11,
186
84.7
2027
945
814
86.2
490
401
81.8
1,43
51,
215
84.7
2028
966
833
86.2
507
414
81.8
1,47
31,
247
84.7
2029
988
852
86.3
524
428
81.8
1,51
21,
280
84.7
2030
1,01
087
286
.354
144
281
.81,
551
1,31
484
.7
2031
1,03
389
286
.355
845
681
.81,
591
1,34
884
.720
321,
057
913
86.4
576
471
81.7
1,63
31,
384
84.7
2033
1,08
293
486
.459
448
581
.71,
676
1,42
084
.720
341,
106
956
86.4
612
500
81.7
1,71
91,
456
84.7
2035
1,13
197
786
.463
151
681
.71,
762
1,49
384
.720
361,
156
999
86.5
650
532
81.7
1,80
61,
531
84.7
Avg
Ann
ual G
row
th20
01-1
50.
1%1.
5%1.
9%2.
5%0.
6%1.
8%20
15-1
63.
4%4.
1%0.
8%2.
2%2.
6%3.
6%20
15-2
52.
0%2.
2%3.
6%3.
7%2.
5%2.
7%20
15-3
62.
1%2.
2%3.
4%3.
5%2.
5%2.
6%S
ourc
e: F
orm
s 41
and
298
-C, U
.S. D
epar
tmen
t of T
rans
porta
tion.
1 Sum
of U
.S. M
ainl
ine
and
Reg
iona
l Air
Car
riers
.
63
TAB
LE 7
U.S.
CO
MM
ERC
IAL
AIR
CA
RR
IER
S1
TOTA
L SC
HED
ULED
U.S
. INT
ERNA
TIO
NAL
PASS
ENG
ER T
RA
FFIC
RE
VE
NU
E P
AS
SE
NG
ER
EN
PLA
NE
ME
NTS
RE
VE
NU
E P
AS
SE
NG
ER
MIL
ES
LATI
NTO
TAL
LATI
NTO
TAL
FIS
CA
LA
TLA
NTI
CA
ME
RIC
AP
AC
IFIC
INTE
RN
ATI
ON
AL
ATL
AN
TIC
AM
ER
ICA
PA
CIF
ICIN
TER
NA
TIO
NA
LY
EA
R(M
il)(M
il)(M
il)(M
il)(B
il)(B
il)(B
il)(B
il)H
isto
rical
2001
2023
1155
8637
5918
3
2008
2639
1378
113
6160
234
2009
2537
1274
109
5855
221
2010
2540
1377
109
6359
231
2011
2542
1481
112
6764
242
2012
2544
1483
108
7066
244
2013
2546
1485
107
7569
250
2014
2549
1488
108
8069
257
2015
E25
5114
8910
783
7126
0
Fore
cast
2016
2554
1493
108
8673
266
2017
2656
1597
113
8975
277
2018
2758
1510
111
894
7728
920
1928
6115
105
123
9980
301
2020
2964
1610
912
710
482
313
2021
3067
1611
313
210
984
325
2022
3170
1711
713
611
487
337
2023
3273
1712
114
112
089
350
2024
3376
1812
614
512
592
362
2025
3379
1813
014
913
195
375
2026
3482
1913
515
413
797
388
2027
3586
1914
015
814
310
040
120
2836
8920
145
162
149
103
414
2029
3793
2015
016
715
610
642
820
3038
9621
155
172
162
108
442
2031
3910
021
160
176
169
111
456
2032
4010
422
165
181
176
114
471
2033
4110
822
171
186
183
117
485
2034
4211
223
176
191
190
120
500
2035
4311
623
182
196
197
123
516
2036
4412
024
188
201
205
126
531
Avg
Ann
ual G
row
th20
01-1
51.
3%5.
8%1.
5%3.
5%1.
5%5.
9%1.
3%2.
6%20
15-1
62.
1%5.
9%2.
0%4.
3%0.
9%3.
5%2.
8%2.
2%20
15-2
53.
1%4.
5%2.
6%3.
9%3.
4%4.
7%2.
9%3.
7%20
15-3
62.
8%4.
2%2.
6%3.
6%3.
1%4.
4%2.
8%3.
5%S
ourc
e: F
orm
s 41
and
298
-C, U
.S. D
epar
tmen
t of T
rans
porta
tion.
1 Sum
of U
.S. M
ainl
ine
and
Reg
iona
l Air
Car
riers
.
64
TAB
LE 8
U.S.
AND
FO
REI
GN
FLA
G C
AR
RIE
RS
TOTA
L PA
SSEN
GER
TR
AFF
IC T
O/F
RO
M T
HE U
NITE
D S
TATE
S
TOTA
L P
AS
SE
NG
ER
S B
Y W
OR
LD T
RA
VE
L A
RE
A (M
illio
ns)
CA
LEN
DA
RU
.S./C
AN
AD
AY
EA
RA
TLA
NTI
CLA
TIN
AM
ER
ICA
PA
CIF
ICTR
AN
SB
OR
DE
RTO
TAL
His
toric
al20
0147
3923
1912
9
2008
5750
2622
154
2009
5548
2420
148
2010
5653
2722
157
2011
5857
2823
166
2012
6161
3125
177
2013
6365
3226
186
2014
6669
3428
197
2015
E69
7335
2920
6
Fore
cast
2016
7277
3629
214
2017
7578
3830
221
2018
7880
4032
230
2019
8183
4133
239
2020
8587
4334
249
2021
8890
4535
259
2022
9194
4737
269
2023
9598
4938
280
2024
9810
251
3929
120
2510
210
653
4130
2
2026
105
111
5542
314
2027
109
116
5843
326
2028
113
121
6045
338
2029
117
126
6246
351
2030
121
131
6448
364
2031
125
137
6650
377
2032
129
142
6851
391
2033
134
148
7053
405
2034
138
155
7255
420
2035
143
161
7457
436
2036
148
168
7759
452
Avg
Ann
ual G
row
th20
01-1
52.
7%4.
6%3.
0%2.
9%3.
4%20
15-1
63.
5%4.
7%2.
8%1.
6%3.
5%20
15-2
53.
9%3.
8%4.
3%3.
5%3.
9%20
15-3
63.
7%4.
0%3.
8%3.
5%3.
8%S
ourc
e: U
S C
usto
ms
& B
orde
r Pro
tect
ion
data
pro
cess
ed a
nd re
leas
ed b
y D
epar
tmen
t of C
omm
erce
; da
ta a
lso
rece
ived
from
Tra
nspo
rt C
anad
a.
65
TAB
LE 9
U.S.
CO
MM
ERC
IAL
AIR
CA
RR
IER
S' F
OR
ECA
ST A
SSUM
PTIO
NS1
SEA
TS P
ER A
IRC
RA
FT M
ILE
AND
PA
SSEN
GER
TR
IP L
ENG
TH
AV
ER
AG
E S
EA
TS P
ER
AIR
CR
AFT
MIL
EA
VE
RA
GE
PA
SS
EN
GE
R T
RIP
LE
NG
THFI
SC
AL
DO
ME
STI
CIN
T'L.
SY
STE
MD
OM
ES
TIC
INT'
L.S
YS
TEM
YE
AR
(Sea
ts/M
ile)
(Sea
ts/M
ile)
(Sea
ts/M
ile)
(Mile
s)(M
iles)
(Mile
s)H
isto
rical
2001
128
227
143
812
3,23
41,
013
2008
121
219
138
874
2,98
51,
091
2009
122
219
140
870
3,00
81,
093
2010
122
216
140
875
2,98
81,
104
2011
123
217
141
880
2,99
31,
114
2012
123
214
141
884
2,95
11,
116
2013
125
214
143
894
2,94
21,
130
2014
127
215
146
897
2,91
71,
132
2015
E13
221
614
990
32,
912
1,13
1
Fore
cast
2016
133
216
150
902
2,85
61,
124
2017
134
216
151
903
2,86
81,
130
2018
135
217
152
905
2,87
21,
135
2019
136
217
153
908
2,87
41,
142
2020
136
217
154
910
2,87
41,
148
2021
137
217
155
913
2,87
61,
155
2022
138
218
156
915
2,87
81,
162
2023
138
218
157
918
2,87
91,
170
2024
139
218
158
920
2,87
61,
177
2025
139
219
159
923
2,87
31,
183
2026
140
219
159
925
2,87
01,
189
2027
140
219
160
928
2,86
71,
194
2028
141
220
161
930
2,86
41,
199
2029
141
220
161
933
2,86
01,
204
2030
142
220
162
935
2,85
71,
209
2031
142
220
163
938
2,85
31,
213
2032
143
221
163
940
2,85
01,
218
2033
143
221
164
943
2,84
41,
222
2034
144
221
164
945
2,83
81,
226
2035
144
222
165
948
2,83
11,
231
2036
145
222
166
950
2,82
51,
235
Sou
rce:
For
ms
41 a
nd 2
98-C
, U.S
. Dep
artm
ent o
f Tra
nspo
rtatio
n.1 S
um o
f U.S
. Mai
nlin
e an
d R
egio
nal A
ir C
arrie
rs.
66
TAB
LE 1
0
U. S
. MA
INLI
NE A
IR C
AR
RIE
RS
SCHE
DUL
ED P
ASS
ENG
ER T
RA
FFIC
RE
VE
NU
E P
AS
SE
NG
ER
EN
PLA
NE
ME
NTS
RE
VE
NU
E P
AS
SE
NG
ER
MIL
ES
FIS
CA
L(M
illio
ns)
(Bill
ions
)Y
EA
RD
OM
ES
TIC
INTE
RN
ATI
ON
AL
SY
STE
MD
OM
ES
TIC
INTE
RN
ATI
ON
AL
SY
STE
MH
isto
rical
2001
545
5459
848
318
266
6
2008
522
7559
652
123
275
320
0947
771
548
478
220
698
2010
473
7554
848
023
071
020
1148
879
567
497
241
738
2012
495
8057
550
324
374
620
1349
882
580
511
248
759
2014
515
8560
052
725
578
220
15E
543
8763
155
625
981
5
Fore
cast
2016
572
9166
358
126
584
620
1758
494
679
595
276
871
2018
598
9869
761
128
889
820
1961
110
271
462
629
992
520
2062
310
772
963
931
295
0
2021
633
111
743
651
324
974
2022
642
115
756
661
336
997
2023
649
119
768
671
348
1,01
920
2465
812
378
168
236
11,
042
2025
668
128
796
694
373
1,06
7
2026
680
132
812
708
386
1,09
420
2769
213
782
972
239
91,
121
2028
706
142
848
738
412
1,15
120
2972
014
786
775
642
61,
182
2030
735
152
887
773
440
1,21
3
2031
750
157
907
791
454
1,24
520
3276
516
292
880
946
81,
277
2033
781
168
949
828
483
1,31
120
3479
717
397
084
749
81,
345
2035
813
179
992
866
514
1,37
920
3682
918
51,
014
885
529
1,41
4
Avg
Ann
ual G
row
th20
01-1
50.
0%3.
5%0.
4%1.
0%2.
5%1.
5%20
15-1
65.
2%4.
4%5.
1%4.
6%2.
3%3.
8%20
15-2
52.
1%3.
9%2.
4%2.
2%3.
7%2.
7%20
15-3
62.
0%3.
6%2.
3%2.
2%3.
5%2.
7%S
ourc
e: F
orm
41,
U.S
. Dep
artm
ent o
f Tra
nspo
rtatio
n.
67
TAB
LE 1
1
U.S.
MA
INLI
NE A
IR C
AR
RIE
RS
SCHE
DUL
ED P
ASS
ENG
ER C
APA
CIT
Y, T
RA
FFIC
, AND
LO
AD
FA
CTO
RS
DO
ME
STI
CIN
TER
NA
TIO
NA
LS
YS
TEM
FIS
CA
LA
SM
sR
PM
s%
LO
AD
AS
Ms
RP
Ms
% L
OA
DA
SM
sR
PM
s%
LO
AD
YE
AR
(BIL
)(B
IL)
FAC
TOR
(BIL
)(B
IL)
FAC
TOR
(BIL
)(B
IL)
FAC
TOR
His
toric
al20
0169
048
370
.024
518
274
.493
566
671
.2
2008
650
521
80.2
290
232
80.0
940
753
80.1
2009
588
478
81.4
281
220
78.2
869
698
80.3
2010
581
480
82.7
279
230
82.2
860
710
82.5
2011
594
497
83.6
299
241
80.8
893
738
82.6
2012
599
503
84.1
298
243
81.5
896
746
83.2
2013
607
511
84.2
301
248
82.6
907
759
83.7
2014
620
527
85.0
313
255
81.4
933
782
83.8
2015
E65
355
685
.132
125
980
.897
481
583
.7
Fore
cast
2016
678
581
85.8
323
265
81.9
1,00
184
684
.520
1769
259
585
.933
727
681
.91,
029
871
84.6
2018
709
611
86.1
351
288
81.9
1,06
089
884
.720
1972
562
686
.336
629
981
.91,
091
925
84.8
2020
739
639
86.4
381
312
81.9
1,12
095
084
.9
2021
752
651
86.5
395
324
81.9
1,14
797
484
.920
2276
466
186
.641
033
681
.91,
174
997
84.9
2023
774
671
86.7
425
348
81.9
1,19
91,
019
85.0
2024
786
682
86.7
440
361
81.8
1,22
61,
042
85.0
2025
800
694
86.8
456
373
81.8
1,25
61,
067
85.0
2026
815
708
86.9
472
386
81.8
1,28
71,
094
85.0
2027
831
722
86.9
488
399
81.8
1,31
91,
121
85.0
2028
849
738
86.9
504
412
81.8
1,35
31,
151
85.0
2029
869
756
87.0
521
426
81.8
1,39
01,
182
85.0
2030
888
773
87.0
538
440
81.8
1,42
61,
213
85.1
2031
908
791
87.1
555
454
81.8
1,46
31,
245
85.1
2032
929
809
87.1
573
468
81.8
1,50
21,
277
85.1
2033
950
828
87.1
591
483
81.8
1,54
11,
311
85.1
2034
972
847
87.2
609
498
81.8
1,58
11,
345
85.1
2035
993
866
87.2
628
514
81.8
1,62
11,
379
85.1
2036
1,01
588
587
.264
752
981
.81,
662
1,41
485
.1
Avg
Ann
ual G
row
th20
01-1
5-0
.4%
1.0%
1.9%
2.5%
0.6%
0.3%
1.5%
2015
-16
3.8%
4.6%
0.8%
2.3%
1.4%
2.8%
3.8%
2015
-25
2.0%
2.2%
3.6%
3.7%
0.1%
2.6%
2.7%
2015
-36
2.1%
2.2%
3.4%
3.5%
0.1%
2.6%
2.7%
Sou
rce:
For
m 4
1, U
.S. D
epar
tmen
t of T
rans
porta
tion.
68
TAB
LE 1
2
U.S.
MA
INLI
NE A
IR C
AR
RIE
RS
SCHE
DUL
ED IN
TER
NATI
ONA
L PA
SSEN
GER
ENP
LANE
MEN
TS
FIS
CA
LR
EV
EN
UE
PA
SS
EN
GE
R E
NP
LAN
EM
EN
TS (M
IL)
YE
AR
ATL
AN
TIC
LATI
N A
ME
RIC
AP
AC
IFIC
TOTA
LH
isto
rical
2001
2022
1154
2008
2636
1375
2009
2534
1271
2010
2537
1375
2011
2540
1479
2012
2541
1480
2013
2543
1482
2014
2546
1485
2015
E25
4914
87
Fore
cast
2016
2552
1491
2017
2654
1594
2018
2756
1598
2019
2859
1510
220
2029
6216
107
2021
3064
1611
120
2231
6717
115
2023
3270
1711
920
2433
7318
123
2025
3376
1812
8
2026
3480
1913
220
2735
8319
137
2028
3686
2014
220
2937
9020
147
2030
3893
2115
2
2031
3997
2115
720
3240
101
2216
220
3341
105
2216
820
3442
109
2317
320
3543
113
2317
920
3644
117
2418
5
Avg
Ann
ual G
row
th20
01-1
51.
3%5.
9%1.
5%3.
5%20
15-1
62.
1%6.
2%2.
0%4.
4%20
15-2
53.
1%4.
6%2.
6%3.
9%20
15-3
62.
8%4.
3%2.
6%3.
6%S
ourc
e: F
orm
41,
U.S
. Dep
artm
ent o
f Tra
nspo
rtatio
n.
69
TAB
LE 1
3
U.S.
MA
INLI
NE A
IR C
AR
RIE
RS
SCHE
DUL
ED P
ASS
ENG
ER C
APA
CIT
Y, T
RA
FFIC
, AND
LO
AD
FA
CTO
RS
BY
INTE
RNA
TIO
NAL
TRA
VEL
REG
IONS
ATL
AN
TIC
LATI
N A
ME
RIC
AP
AC
IFIC
INTE
RN
ATI
ON
AL
FIS
CA
LA
SM
sR
PM
s%
LO
AD
AS
Ms
RP
Ms
% L
OA
DA
SM
sR
PM
s%
LO
AD
AS
Ms
RP
Ms
% L
OA
DY
EA
R(B
IL)
(BIL
)FA
CTO
R(B
IL)
(BIL
)FA
CTO
R(B
IL)
(BIL
)FA
CTO
R(B
IL)
(BIL
)FA
CTO
RH
isto
rical
2001
113
8676
.453
3769
.279
5975
.224
518
274
.4
2008
141
113
80.0
7459
79.3
7560
80.6
290
232
80.0
2009
138
109
78.9
7356
76.8
7055
78.3
281
220
78.2
2010
131
109
82.9
7862
79.2
7059
84.1
279
230
82.2
2011
138
112
80.7
8266
79.9
7864
81.8
299
241
80.8
2012
132
108
81.5
8468
80.9
8166
82.0
298
243
81.5
2013
128
107
83.3
9073
81.1
8369
83.1
301
248
82.6
2014
132
108
81.7
9778
80.6
8469
82.0
313
255
81.4
2015
E13
310
780
.010
181
80.3
8671
82.5
321
259
80.8
Fore
cast
2016
131
108
82.2
104
8480
.488
7383
.332
326
581
.920
1713
811
382
.210
988
80.4
9075
83.3
337
276
81.9
2018
144
118
82.2
114
9280
.493
7783
.335
128
881
.920
1915
012
382
.212
197
80.4
9580
83.3
366
299
81.9
2020
155
127
82.2
127
102
80.4
9882
83.3
381
312
81.9
2021
160
132
82.2
133
107
80.4
101
8483
.339
532
481
.920
2216
613
682
.214
011
280
.410
487
83.3
410
336
81.9
2023
171
141
82.2
147
118
80.4
107
8983
.342
534
881
.920
2417
614
582
.215
412
480
.411
092
83.3
440
361
81.8
2025
182
149
82.2
161
129
80.4
114
9583
.345
637
381
.8
2026
187
154
82.2
168
135
80.4
117
9783
.347
238
681
.820
2719
215
882
.217
514
180
.412
010
083
.348
839
981
.820
2819
816
282
.218
314
780
.412
310
383
.350
441
281
.820
2920
316
782
.219
115
480
.412
710
683
.352
142
681
.820
3020
917
282
.219
916
080
.413
010
883
.353
844
081
.8
2031
214
176
82.2
207
167
80.4
133
111
83.3
555
454
81.8
2032
220
181
82.2
216
173
80.4
137
114
83.3
573
468
81.8
2033
226
186
82.2
225
180
80.4
140
117
83.3
591
483
81.8
2034
232
191
82.2
233
188
80.4
144
120
83.3
609
498
81.8
2035
238
196
82.2
243
195
80.4
147
123
83.3
628
514
81.8
2036
244
201
82.2
252
203
80.4
151
126
83.3
647
529
81.8
Avg
Ann
ual G
row
th20
01-1
51.
2%1.
5%4.
7%5.
8%0.
6%1.
3%1.
9%2.
5%20
15-1
6-1
.8%
0.9%
3.4%
3.6%
1.8%
2.8%
0.8%
2.3%
2015
-25
3.1%
3.4%
4.8%
4.8%
2.8%
2.9%
3.6%
3.7%
2015
-36
2.9%
3.1%
4.4%
4.5%
2.7%
2.8%
3.4%
3.5%
Sou
rce:
For
m 4
1, U
.S. D
epar
tmen
t of T
rans
porta
tion.
70
TAB
LE 1
4
U.S.
MA
INLI
NE A
IR C
AR
RIE
R F
OR
ECA
ST A
SSUM
PTIO
NS
SEA
TS P
ER A
IRC
RA
FT M
ILE
INTE
RN
ATI
ON
AL
FIS
CA
LD
OM
ES
TIC
ATL
AN
TIC
LATI
N A
ME
RIC
AP
AC
IFIC
TOTA
LS
YS
TEM
YE
AR
(Sea
ts/M
ile)
(Sea
ts/M
ile)
(Sea
ts/M
ile)
(Sea
ts/M
ile)
(Sea
ts/M
ile)
(Sea
ts/M
ile)
His
toric
al20
0114
623
317
530
423
416
2
2008
150
229
177
292
225
167
2009
151
230
176
291
224
169
2010
152
232
172
287
221
169
2011
152
231
173
283
221
170
2012
153
230
172
278
219
170
2013
154
233
172
276
219
171
2014
155
236
173
276
220
172
2015
E15
823
717
427
222
017
4
Fore
cast
2016
158
238
174
273
220
174
2017
159
238
175
274
220
175
2018
160
239
175
274
220
176
2019
160
239
176
275
220
176
2020
161
240
176
276
221
177
2021
161
240
177
277
221
178
2022
162
241
177
277
221
179
2023
162
241
178
278
221
179
2024
163
242
178
279
222
180
2025
164
242
179
280
222
181
2026
164
243
179
280
222
181
2027
164
243
180
281
222
182
2028
165
244
180
282
223
183
2029
165
244
181
283
223
183
2030
166
245
181
283
223
184
2031
166
245
182
284
223
184
2032
167
246
182
285
224
185
2033
167
246
183
286
224
185
2034
168
247
183
286
224
186
2035
168
247
184
287
225
186
2036
168
248
184
288
225
187
Sou
rce:
For
m 4
1, U
.S. D
epar
tmen
t of T
rans
porta
tion.
71
TAB
LE 1
5
U.S.
MA
INLI
NE A
IR C
AR
RIE
R F
OR
ECA
ST A
SSUM
PTIO
NS
AVE
RA
GE
PASS
ENG
ER T
RIP
LEN
GTH
INTE
RN
ATI
ON
AL
FIS
CA
LD
OM
ES
TIC
ATL
AN
TIC
LATI
N A
ME
RIC
AP
AC
IFIC
TOTA
LS
YS
TEM
YE
AR
(Mile
s)(M
iles)
(Mile
s)(M
iles)
(Mile
s)(M
iles)
His
toric
al20
0188
74,
212
1,68
85,
229
3,40
51,
013
2008
999
4,33
31,
652
4,58
33,
100
1,09
120
091,
003
4,40
21,
646
4,55
03,
098
1,09
320
101,
015
4,43
31,
660
4,58
73,
077
1,10
420
111,
017
4,41
51,
655
4,70
73,
068
1,11
420
121,
017
4,35
61,
668
4,72
53,
040
1,11
620
131,
026
4,31
31,
693
4,77
43,
023
1,13
020
141,
024
4,32
11,
696
4,91
02,
993
1,13
220
15E
1,02
34,
336
1,66
95,
080
2,96
91,
131
Fore
cast
2016
1,01
74,
287
1,62
85,
120
2,90
91,
124
2017
1,01
84,
309
1,63
65,
133
2,92
11,
130
2018
1,02
14,
330
1,64
45,
146
2,92
51,
135
2019
1,02
34,
352
1,65
25,
157
2,92
51,
142
2020
1,02
64,
374
1,66
05,
169
2,92
41,
148
2021
1,02
84,
391
1,66
95,
180
2,92
51,
155
2022
1,03
14,
409
1,67
75,
190
2,92
51,
162
2023
1,03
44,
427
1,68
55,
200
2,92
51,
170
2024
1,03
64,
444
1,69
05,
209
2,92
11,
177
2025
1,03
94,
462
1,69
45,
218
2,91
81,
183
2026
1,04
14,
475
1,69
85,
226
2,91
41,
189
2027
1,04
44,
489
1,70
25,
234
2,91
01,
194
2028
1,04
74,
502
1,70
75,
242
2,90
61,
199
2029
1,04
94,
516
1,71
15,
248
2,90
21,
204
2030
1,05
24,
525
1,71
55,
255
2,89
71,
209
2031
1,05
44,
534
1,71
95,
260
2,89
31,
213
2032
1,05
74,
543
1,72
45,
266
2,88
91,
218
2033
1,06
04,
552
1,72
55,
270
2,88
31,
222
2034
1,06
24,
557
1,72
75,
275
2,87
61,
226
2035
1,06
54,
561
1,72
95,
278
2,86
91,
231
2036
1,06
84,
566
1,73
15,
282
2,86
21,
235
Sou
rce:
For
m 4
1, U
.S. D
epar
tmen
t of T
rans
porta
tion.
72
TAB
LE 1
6
U.S.
MA
INLI
NE A
IR C
AR
RIE
R F
OR
ECA
ST A
SSUM
PTIO
NS
PASS
ENG
ER Y
IELD
S
RE
VE
NU
E P
ER
PA
SS
EN
GE
R M
ILE
D
OM
ES
TIC
INTE
RN
ATI
ON
AL
SY
STE
MFI
SC
AL
CU
RR
EN
T $
FY 2
015
$C
UR
RE
NT
$FY
201
5 $
CU
RR
EN
T $
FY
201
5 $
YE
AR
(Cen
ts)
(Cen
ts)
(Cen
ts)
(Cen
ts)
(Cen
ts)
(C
ents
)H
isto
rical
2001
13.5
418
.19
10.3
413
.89
13.3
617
.95
2008
13.1
114
.48
13.3
714
.77
13.9
015
.35
2009
11.9
513
.24
11.6
812
.94
12.3
513
.68
2010
12.6
213
.74
12.8
413
.98
12.9
814
.14
2011
13.6
214
.45
14.0
914
.95
13.9
014
.75
2012
14.0
814
.59
14.7
415
.27
14.1
914
.70
2013
14.4
214
.70
14.8
015
.09
14.2
814
.56
2014
15.1
115
.16
14.9
414
.98
14.7
414
.78
2015
E14
.73
14.7
314
.20
14.2
014
.36
14.3
6
Fore
cast
2016
14.3
914
.26
13.6
913
.57
13.9
813
.86
2017
15.1
914
.65
13.9
913
.49
14.6
314
.10
2018
15.5
814
.66
14.2
613
.41
14.9
714
.09
2019
15.9
914
.70
14.5
013
.33
15.3
214
.09
2020
16.4
014
.72
14.7
613
.25
15.6
814
.07
2021
16.8
314
.73
15.0
413
.17
16.0
514
.05
2022
17.3
514
.78
15.3
613
.09
16.4
914
.05
2023
17.9
214
.87
15.6
713
.01
16.9
614
.08
2024
18.4
314
.91
15.9
812
.93
17.4
014
.07
2025
18.8
514
.89
16.2
712
.85
17.7
614
.03
2026
19.1
914
.82
16.5
412
.77
18.0
713
.95
2027
19.5
214
.73
16.8
212
.69
18.3
713
.86
2028
19.8
414
.63
17.1
012
.61
18.6
613
.76
2029
20.1
414
.52
17.3
912
.54
18.9
513
.66
2030
20.4
314
.40
17.6
812
.47
19.2
313
.56
2031
20.7
414
.29
17.9
912
.40
19.5
313
.46
2032
21.0
514
.18
18.2
812
.32
19.8
313
.36
2033
21.3
914
.08
18.5
912
.24
20.1
513
.27
2034
21.7
413
.99
18.9
012
.16
20.4
813
.18
2035
22.1
213
.90
19.2
212
.08
20.8
213
.09
2036
22.4
913
.81
19.5
512
.01
21.1
713
.01
Avg
Ann
ual G
row
th20
01-1
50.
6%-1
.5%
2.3%
0.2%
0.5%
-1.6
%20
15-1
6-2
.3%
-3.2
%-3
.6%
-4.5
%-2
.6%
-3.5
%20
15-2
52.
5%0.
1%1.
4%-1
.0%
2.1%
-0.2
%20
15-3
62.
0%-0
.3%
1.5%
-0.8
%1.
9%-0
.5%
Sou
rce:
For
m 4
1, U
.S. D
epar
tmen
t of T
rans
porta
tion.
73
TAB
LE 1
7
U.S.
MA
INLI
NE A
IR C
AR
RIE
R F
OR
ECA
ST A
SSUM
PTIO
NS
INTE
RNA
TIO
NAL
PASS
ENG
ER Y
IELD
S B
Y R
EGIO
N
RE
VE
NU
E P
ER
PA
SS
EN
GE
R M
ILE
ATL
AN
TIC
LATI
N A
ME
RIC
AP
AC
IFIC
TOTA
L IN
TER
NA
TIO
NA
LFI
SC
AL
CU
RR
EN
T $
FY 2
015
$C
UR
RE
NT
$FY
201
5 $
CU
RR
EN
T $
FY 2
015
$C
UR
RE
NT
$FY
201
5 $
YE
AR
(Cen
ts)
(Cen
ts)
(Cen
ts)
(Cen
ts)
(Cen
ts)
(Cen
ts)
(Cen
ts)
(Cen
ts)
His
toric
al20
019.
7113
.05
13.3
817
.97
9.38
12.6
010
.34
13.8
9
2008
13.2
914
.67
14.1
915
.67
12.7
314
.06
13.3
714
.77
2009
11.2
512
.46
12.9
914
.39
11.2
012
.40
11.6
812
.94
2010
12.7
313
.87
13.3
314
.52
12.5
013
.61
12.8
413
.98
2011
13.4
814
.31
15.1
316
.06
14.0
714
.93
14.0
914
.95
2012
13.9
514
.45
15.7
916
.35
14.9
515
.49
14.7
415
.27
2013
14.4
514
.73
15.8
016
.10
14.3
014
.57
14.8
015
.09
2014
14.8
414
.88
15.7
615
.81
14.1
514
.19
14.9
414
.98
2015
E14
.64
14.6
414
.50
14.5
013
.21
13.2
114
.20
14.2
0
Fore
cast
2016
14.5
514
.42
13.6
113
.48
12.5
312
.42
13.6
913
.57
2017
14.8
814
.34
13.8
613
.36
12.8
012
.34
13.9
913
.49
2018
15.1
714
.27
14.1
013
.26
13.0
512
.28
14.2
613
.41
2019
15.4
514
.20
14.3
013
.15
13.2
812
.21
14.5
013
.33
2020
15.7
414
.13
14.5
413
.05
13.5
312
.14
14.7
613
.25
2021
16.0
614
.06
14.7
812
.94
13.7
912
.07
15.0
413
.17
2022
16.4
113
.99
15.0
612
.84
14.0
912
.01
15.3
613
.09
2023
16.7
713
.92
15.3
412
.73
14.3
911
.94
15.6
713
.01
2024
17.1
213
.85
15.6
112
.63
14.6
811
.88
15.9
812
.93
2025
17.4
513
.78
15.8
512
.52
14.9
611
.82
16.2
712
.85
2026
17.7
613
.71
16.0
912
.42
15.2
311
.76
16.5
412
.77
2027
18.0
813
.64
16.3
312
.32
15.5
111
.70
16.8
212
.69
2028
18.4
113
.57
16.5
912
.23
15.7
811
.64
17.1
012
.61
2029
18.7
413
.51
16.8
412
.14
16.0
711
.59
17.3
912
.54
2030
19.0
613
.44
17.0
912
.05
16.3
611
.53
17.6
812
.47
2031
19.4
013
.37
17.3
711
.97
16.6
611
.48
17.9
912
.40
2032
19.7
513
.30
17.6
211
.87
16.9
611
.43
18.2
812
.32
2033
20.1
013
.24
17.8
711
.77
17.2
711
.37
18.5
912
.24
2034
20.4
713
.17
18.1
411
.67
17.6
011
.32
18.9
012
.16
2035
20.8
513
.11
18.4
111
.57
17.9
311
.27
19.2
212
.08
2036
21.2
313
.04
18.6
811
.47
19.2
611
.22
19.5
512
.01
Avg
Ann
ual G
row
th20
01-1
53.
0%0.
8%0.
6%-1
.5%
2.5%
0.3%
2.3%
0.2%
2015
-16
-0.6
%-1
.5%
-6.2
%-7
.0%
-5.2
%-6
.0%
-3.6
%-4
.5%
2015
-25
1.8%
-0.6
%0.
9%-1
.5%
1.3%
-1.1
%1.
4%-1
.0%
2015
-36
1.8%
-0.5
%1.
2%-1
.1%
1.8%
-0.8
%1.
5%-0
.8%
Sou
rce:
For
m 4
1, U
.S. D
epar
tmen
t of T
rans
porta
tion.
74
TAB
LE 1
8
U.S.
MA
INLI
NE A
IR C
AR
RIE
R F
OR
ECA
ST A
SSUM
PTIO
NS
JET
FUEL
PR
ICES
DO
ME
STI
CIN
TER
NA
TIO
NA
LS
YS
TEM
FIS
CA
LC
UR
RE
NT
$FY
201
5 $
CU
RR
EN
T $
FY 2
015
$C
UR
RE
NT
$
FY 2
015
$Y
EA
R(C
ents
)
(Cen
ts)
(Cen
ts)
(C
ents
)(C
ents
)(C
ents
)H
isto
rical
2001
82.6
611
0.64
86.3
711
5.68
83.6
811
2.42
2008
292.
5332
3.01
314.
5734
7.35
299.
6533
0.88
2009
202.
0722
3.80
208.
2723
0.66
204.
1422
6.09
2010
219.
1623
8.67
220.
1223
9.71
219.
4923
9.02
2011
289.
3230
7.04
288.
1030
5.75
288.
8730
6.56
2012
314.
5632
5.90
309.
5232
0.68
312.
6432
3.92
2013
308.
9131
4.91
299.
3930
5.20
305.
2431
1.17
2014
300.
7030
1.66
292.
5629
3.49
297.
6129
8.55
2015
E20
7.33
207.
3321
1.76
211.
7620
8.98
208.
98
Fore
cast
2016
153.
9415
2.56
157.
2315
5.82
155.
1715
3.78
2017
178.
6017
2.19
182.
4217
5.87
180.
0217
3.56
2018
196.
5018
4.88
200.
7018
8.84
198.
0618
6.36
2019
216.
7419
9.27
221.
3820
3.53
218.
4720
0.86
2020
237.
6721
3.31
242.
7521
7.87
239.
5621
5.01
2021
259.
4122
7.08
264.
9623
1.93
261.
4822
8.89
2022
288.
2824
5.71
294.
4525
0.96
290.
5824
7.66
2023
326.
5427
0.98
333.
5227
6.77
329.
1427
3.14
2024
363.
7329
4.19
371.
5030
0.48
366.
6229
6.53
2025
390.
5430
8.43
398.
8931
5.02
393.
6531
0.88
2026
407.
5731
4.60
416.
2832
1.32
410.
8131
7.10
2027
419.
4731
6.49
428.
4432
3.25
422.
8131
9.01
2028
428.
4831
5.99
437.
6432
2.74
431.
8931
8.50
2029
434.
0631
2.91
443.
3431
9.60
437.
5131
5.40
2030
438.
1830
8.94
447.
5531
5.55
441.
6731
1.40
2031
442.
0730
4.66
451.
5231
1.17
445.
5930
7.08
2032
445.
7830
0.30
455.
3130
6.72
449.
3330
2.69
2033
452.
6629
8.10
462.
3330
4.47
456.
2630
0.47
2034
461.
5829
6.99
471.
4430
3.33
465.
2529
9.35
2035
472.
5229
7.07
482.
6230
3.42
476.
2829
9.44
2036
483.
0729
6.76
493.
3930
3.11
486.
9129
9.12
Avg
Ann
ual G
row
th20
01-1
56.
8%4.
6%6.
6%4.
4%6.
8%4.
5%20
15-1
6-2
5.8%
-26.
4%-2
5.8%
-26.
4%-2
5.8%
-26.
4%20
15-2
56.
5%4.
1%6.
5%4.
1%6.
5%4.
1%20
15-3
64.
1%1.
7%4.
1%1.
7%4.
1%1.
7%S
ourc
e: F
orm
41,
U.S
. Dep
artm
ent o
f Tra
nspo
rtatio
n
75
TAB
LE 1
9
U.S.
CO
MM
ERC
IAL
AIR
CA
RR
IER
S
AIR
CA
RG
O R
EVEN
UE T
ON
MIL
ES1,
2, 3
ALL
-CA
RG
O C
AR
RIE
R R
TMS
P
AS
SE
NG
ER
CA
RR
IER
RTM
STO
TAL
RTM
SFI
SC
AL
(Mill
ions
)(M
illio
ns)
(Mill
ions
)Y
EA
RD
OM
ES
TIC
INT'
L.TO
TAL
DO
ME
STI
CIN
T'L.
TOTA
LD
OM
ES
TIC
INT'
L.TO
TAL
His
toric
al20
019,
992
7,38
017
,372
3,94
67,
167
11,1
1213
,938
14,5
4728
,485
2008
12,2
6117
,516
29,7
772,
147
6,90
59,
052
14,4
0824
,421
38,8
2920
0910
,275
13,8
3424
,110
1,62
35,
266
6,88
911
,899
19,1
0030
,999
2010
11,2
4316
,733
27,9
761,
580
6,33
27,
912
12,8
2323
,065
35,8
8820
1110
,601
18,9
8029
,581
1,44
66,
250
7,69
612
,047
25,2
3037
,277
2012
10,8
8618
,310
29,1
961,
360
5,95
27,
313
12,2
4624
,262
36,5
0920
1310
,996
16,7
4127
,737
1,35
45,
700
7,05
312
,350
22,4
4134
,790
2014
11,2
2616
,356
27,5
811,
451
6,14
87,
598
12,6
7622
,503
35,1
8020
15E
11,6
7216
,403
28,0
751,
417
6,45
67,
873
13,0
8922
,858
35,9
47
Fore
cast
2016
11,9
0817
,454
29,3
621,
434
6,76
88,
202
13,3
4324
,222
37,5
6520
1712
,172
18,6
5130
,822
1,45
57,
125
8,57
913
,626
25,7
7539
,402
2018
12,2
9619
,807
32,1
031,
458
7,45
48,
912
13,7
5427
,261
41,0
1520
1912
,451
20,9
9433
,445
1,46
57,
781
9,24
613
,916
28,7
7542
,691
2020
12,6
5322
,234
34,8
881,
477
8,11
69,
593
14,1
3030
,351
44,4
81
2021
12,7
8923
,410
36,1
981,
480
8,41
59,
896
14,2
6931
,825
46,0
9420
2212
,840
24,6
3337
,474
1,47
48,
719
10,1
9314
,315
33,3
5247
,667
2023
12,8
8125
,956
38,8
371,
467
9,04
510
,512
14,3
4835
,000
49,3
4920
2412
,897
27,3
3140
,228
1,45
79,
376
10,8
3214
,354
36,7
0651
,060
2025
12,9
1728
,684
41,6
001,
447
9,68
511
,132
14,3
6438
,369
52,7
32
2026
12,9
4430
,107
43,0
501,
438
10,0
0511
,443
14,3
8240
,111
54,4
9320
2712
,962
31,5
9744
,559
1,42
810
,332
11,7
6014
,390
41,9
2956
,319
2028
12,9
8833
,139
46,1
271,
419
10,6
6212
,081
14,4
0743
,801
58,2
0820
2913
,003
34,7
1747
,721
1,40
910
,989
12,3
9714
,412
45,7
0660
,118
2030
13,0
2136
,319
49,3
401,
399
11,3
0812
,706
14,4
2047
,627
62,0
46
2031
13,0
2637
,974
51,0
001,
387
11,6
2813
,015
14,4
1349
,601
64,0
1420
3213
,032
39,6
7052
,702
1,37
611
,945
13,3
2114
,408
51,6
1566
,022
2033
13,0
4841
,445
54,4
931,
366
12,2
7013
,635
14,4
1353
,715
68,1
2920
3413
,062
43,2
9256
,354
1,35
512
,599
13,9
5414
,417
55,8
9170
,308
2035
13,0
7245
,206
58,2
791,
344
12,9
3114
,275
14,4
1758
,137
72,5
5420
3613
,081
47,1
7060
,251
1,33
313
,259
14,5
9314
,415
60,4
2974
,844
Avg
Ann
ual G
row
th20
01-1
51.
1%5.
9%3.
5%-7
.1%
-0.7
%-2
.4%
-0.4
%3.
3%1.
7%20
15-1
62.
0%6.
4%4.
6%1.
2%4.
8%4.
2%1.
9%6.
0%4.
5%20
15-2
51.
0%5.
7%4.
0%0.
2%4.
1%3.
5%0.
9%5.
3%3.
9%20
15-3
60.
5%5.
2%3.
7%-0
.3%
3.5%
3.0%
0.5%
4.7%
3.6%
Sou
rce:
For
m 4
1, U
.S. D
epar
tmen
t of T
rans
porta
tion
1 Incl
udes
frei
ght/e
xpre
ss a
nd m
ail r
even
ue to
n m
iles
on m
ainl
ine
air c
arrie
rs a
nd re
gion
als/
com
mut
ers.
2 Dom
estic
figu
res
from
200
0 th
roug
h 20
02 e
xclu
de A
irbor
ne E
xpre
ss, I
nc.;
inte
rnat
iona
l fig
ures
for 2
003
and
beyo
nd in
clud
e ne
w
repo
rting
of c
ontra
ct s
ervic
e by
U.S
. car
riers
for f
orei
gn fl
ag c
arrie
rs.
3 Dom
estic
figu
res
from
200
3 an
d be
yond
incl
ude
Airb
orne
Exp
ress
. Inc
.
76
TAB
LE 2
0
U.S.
CO
MM
ERC
IAL
AIR
CA
RR
IER
S
INT
ERNA
TIO
NAL
AIR
CA
RG
O R
EVEN
UE T
ON
MIL
ES B
Y R
EGIO
N1, 2
OTH
ER
FIS
CA
LA
TLA
NTI
CLA
TIN
AM
ER
ICA
PA
CIF
ICIN
TER
NA
TIO
NA
LTO
TAL
YE
AR
(MIL
LIO
NS
)(M
ILLI
ON
S)
(MIL
LIO
NS
)(M
ILLI
ON
S)
(MIL
LIO
NS
)H
isto
rical
2001
5,28
21,
867
6,94
91,
320
15,4
18
2008
6,41
52,
336
9,05
06,
620
24,4
2120
095,
740
1,79
36,
855
4,71
119
,100
2010
6,86
51,
991
8,34
85,
860
23,0
6520
117,
236
1,83
29,
105
7,05
725
,230
2012
7,02
61,
870
8,56
96,
797
24,2
6220
136,
662
1,78
98,
184
5,80
622
,441
2014
6,88
71,
740
8,42
95,
447
22,5
0320
156,
746
1,62
39,
138
5,35
122
,858
Fore
cast
2016
E7,
012
1,57
210
,027
5,61
124
,222
2017
7,32
01,
577
10,9
895,
889
25,7
7520
187,
637
1,59
811
,856
6,17
027
,261
2019
7,95
31,
629
12,7
366,
457
28,7
7520
208,
292
1,66
313
,643
6,75
330
,351
2021
8,62
71,
687
14,4
617,
049
31,8
2520
228,
974
1,70
715
,320
7,35
033
,352
2023
9,33
71,
732
16,2
717,
660
35,0
0020
249,
711
1,76
017
,258
7,97
736
,706
2025
10,0
891,
782
18,2
028,
295
38,3
69
2026
10,4
771,
804
19,2
118,
619
40,1
1120
2710
,881
1,82
720
,272
8,94
941
,929
2028
11,2
991,
851
21,3
679,
283
43,8
0120
2911
,730
1,87
722
,480
9,61
945
,706
2030
12,1
731,
901
23,5
959,
958
47,6
27
2031
12,6
291,
924
24,7
4510
,303
49,6
0120
3213
,098
1,94
625
,919
10,6
5251
,615
2033
13,5
831,
969
27,1
5211
,011
53,7
1520
3414
,087
1,99
328
,435
11,3
7655
,891
2035
14,6
092,
019
29,7
6211
,747
58,1
3720
3615
,146
2,04
331
,113
12,1
2760
,429
Avg
Ann
ual G
row
th20
01-1
51.
8%-1
.0%
2.0%
10.5
%2.
9%20
15-1
63.
9%-3
.1%
9.7%
4.9%
6.0%
2015
-25
4.1%
0.9%
7.1%
4.5%
5.3%
2015
-36
3.9%
1.1%
6.0%
4.0%
4.7%
Sou
rce:
For
m 4
1, U
.S. D
epar
tmen
t of T
rans
porta
tion
1 Incl
udes
frei
ght/e
xpre
ss a
nd m
ail r
even
ue to
n m
iles
on m
ainl
ine
air c
arrie
rs a
nd re
gion
als/
com
mut
ers.
2 Figu
res
for 2
003
and
beyo
nd in
clud
e ne
w re
porti
ng o
f con
tract
ser
vice
by U
.S. c
arrie
rs fo
r for
eign
flag
car
riers
.
77
TAB
LE 2
1
U.S.
MA
INLI
NE A
IR C
AR
RIE
RS
PASS
ENG
ER J
ET A
IRC
RA
FT
CA
LEN
DA
RLA
RG
E N
AR
RO
WB
OD
YLA
RG
E W
IDE
BO
DY
LAR
GE
RE
GIO
NA
LTO
TAL
YE
AR
2 E
NG
INE
3 E
NG
INE
4 E
NG
INE
TOTA
L2
EN
GIN
E3
EN
GIN
E4
EN
GIN
ETO
TAL
JETS
JETS
JETS
His
toric
al20
013,
412
187
03,
599
451
8985
625
4,22
426
4,25
0
2008
3,17
010
13,
181
471
944
524
3,70
579
3,78
420
093,
108
91
3,11
844
79
4249
83,
616
783,
694
2010
3,12
08
13,
129
470
943
522
3,65
171
3,72
220
113,
127
71
3,13
547
17
4151
93,
654
763,
730
2012
3,12
37
03,
130
480
340
523
3,65
382
3,73
520
133,
159
50
3,16
448
20
4052
23,
686
933,
779
2014
3,22
42
03,
226
473
037
510
3,73
698
3,83
420
15E
3,32
22
03,
324
492
031
523
3,84
799
3,94
6
Fore
cast
2016
3,43
12
03,
433
509
022
531
3,96
410
14,
065
2017
3,47
32
03,
475
539
09
548
4,02
312
94,
152
2018
3,50
22
03,
504
560
00
560
4,06
413
94,
203
2019
3,53
82
03,
540
569
00
569
4,10
914
94,
258
2020
3,56
82
03,
570
572
00
572
4,14
216
14,
303
2021
3,60
32
03,
605
586
00
586
4,19
116
94,
360
2022
3,63
41
03,
635
605
00
605
4,24
017
14,
411
2023
3,67
50
03,
675
615
00
615
4,29
017
34,
463
2024
3,70
70
03,
707
627
00
627
4,33
417
54,
509
2025
3,80
90
03,
809
625
00
625
4,43
417
84,
612
2026
3,82
80
03,
828
636
00
636
4,46
418
14,
645
2027
3,85
10
03,
851
651
00
651
4,50
218
34,
685
2028
3,89
80
03,
898
663
00
663
4,56
118
54,
746
2029
3,94
90
03,
949
674
00
674
4,62
318
74,
810
2030
4,02
00
04,
020
693
00
693
4,71
318
74,
900
2031
4,07
60
04,
076
715
00
715
4,79
118
54,
976
2032
4,12
20
04,
122
740
00
740
4,86
218
55,
047
2033
4,16
20
04,
162
768
00
768
4,93
018
55,
115
2034
4,21
10
04,
211
793
00
793
5,00
418
55,
189
2035
4,26
10
04,
261
815
00
815
5,07
618
55,
261
2036
4,31
40
04,
314
840
00
840
5,15
418
55,
339
Avg
Ann
ual G
row
th20
01-1
5-0
.2%
-27.
7%N
/A-0
.6%
0.6%
N/A
-7.0
%-1
.3%
-0.7
%10
.0%
-0.5
%20
15-1
63.
3%0.
0%N
/A3.
3%3.
5%N
/A-2
9.0%
1.5%
3.0%
2.0%
3.0%
2015
-25
1.4%
-100
.0%
N/A
1.4%
2.4%
N/A
N/A
1.8%
1.4%
6.0%
1.6%
2015
-36
1.3%
-99.
9%N
/A1.
2%2.
6%N
/AN
/A2.
3%1.
4%3.
0%1.
5%
78
TAB
LE 2
2
U.S.
MA
INLI
NE A
IR C
AR
RIE
RS
CA
RG
O J
ET A
IRC
RA
FT
CA
LEN
DA
RLA
RG
E N
AR
RO
WB
OD
YLA
RG
E W
IDE
BO
DY
YE
AR
2 E
NG
INE
3 E
NG
INE
4 E
NG
INE
TOTA
L2
EN
GIN
E3
EN
GIN
E4
EN
GIN
ETO
TAL
TOTA
LH
isto
rical
2001
180
343
143
666
190
192
8546
71,
133
2008
163
116
2930
827
420
782
563
871
2009
154
107
3029
125
319
682
531
822
2010
153
104
3128
826
520
097
562
850
2011
176
8926
291
281
203
9658
087
120
1218
767
1226
629
218
893
573
839
2013
192
152
209
296
175
6453
574
420
1421
614
023
029
417
069
533
763
2015
E22
519
024
430
915
672
537
781
Fore
cast
2016
227
190
246
312
149
7253
377
920
1723
219
025
132
813
973
540
791
2018
237
190
256
349
126
7354
880
420
1924
119
026
037
211
374
559
819
2020
247
170
264
395
100
7557
083
4
2021
250
160
266
411
9877
586
852
2022
255
110
266
427
9578
600
866
2023
244
100
254
441
9380
614
868
2024
256
90
265
455
9181
627
892
2025
258
00
258
469
8983
641
899
2026
262
00
262
485
8784
656
918
2027
271
00
271
500
8587
672
943
2028
273
00
273
517
8289
688
961
2029
275
00
275
532
8092
704
979
2030
277
00
277
549
7594
718
995
2031
279
00
279
569
7197
737
1,01
620
3228
00
028
058
966
9975
41,
034
2033
283
00
283
609
6210
277
31,
056
2034
284
00
284
629
5810
479
11,
075
2035
286
00
286
649
5410
781
01,
096
2036
287
00
287
668
5010
982
71,
114
Avg
Ann
ual G
row
th20
01-1
51.
6%-1
8.7%
N/A
-6.9
%3.
5%-1
.5%
-1.2
%1.
0%-2
.6%
2015
-16
0.9%
0.0%
N/A
0.8%
1.0%
-4.5
%0.
0%-0
.7%
-0.3
%20
15-2
51.
4%N
/AN
/A0.
6%4.
3%-5
.5%
1.4%
1.8%
1.4%
2015
-36
1.2%
N/A
N/A
0.8%
3.7%
-5.3
%2.
0%2.
1%1.
7%
79
TAB
LE 2
3
TOTA
L JE
T FU
EL A
ND A
VIA
TIO
N G
ASO
LINE
FUE
L C
ONS
UMPT
ION
U.S.
CIV
IL A
VIA
TIO
N A
IRC
RA
FT(M
illio
ns o
f Gal
lons
)
JET
FUE
LA
VIA
TIO
N G
AS
OLI
NE
TOTA
LFI
SC
AL
U.S
. AIR
CA
RR
IER
S1,
2G
EN
ER
AL
AIR
GE
NE
RA
LFU
EL
YE
AR
DO
ME
STI
CIN
T'L.
TOTA
LA
VIA
TIO
NTO
TAL
CA
RR
IER
AV
IATI
ON
T OTA
LC
ON
SU
ME
DH
isto
rical
2001
15,3
505,
893
21,2
4391
822
,162
227
933
521
,350
2008
13,3
976,
499
19,8
961,
706
21,6
022
248
250
21,8
5220
0911
,896
6,03
317
,929
1,44
719
,376
222
722
919
,606
2010
11,9
736,
290
18,2
631,
435
19,6
982
221
223
19,9
2120
1112
,092
6,54
718
,639
1,45
620
,095
221
621
820
,313
2012
12,1
246,
595
18,7
201,
435
20,1
552
206
208
20,3
6320
1312
,044
6,41
818
,461
1,26
019
,721
219
719
919
,920
2014
12,1
676,
348
18,5
141,
466
19,9
812
210
212
20,1
9220
15E
12,5
426,
471
19,0
131,
471
20,4
852
208
210
20,6
95
Fore
cast
2016
12,8
346,
459
19,2
931,
497
20,7
892
207
209
20,9
9820
1712
,973
6,66
419
,637
1,53
621
,173
220
620
821
,381
2018
13,1
366,
877
20,0
141,
576
21,5
902
206
208
21,7
9820
1913
,273
7,09
220
,365
1,61
721
,982
220
620
822
,190
2020
13,3
937,
308
20,7
011,
660
22,3
612
206
208
22,5
69
2021
13,4
897,
511
21,0
001,
702
22,7
022
206
208
22,9
1120
2213
,555
7,71
421
,269
1,73
423
,003
220
620
823
,211
2023
13,6
027,
919
21,5
211,
766
23,2
872
206
208
23,4
9520
2413
,672
8,12
421
,796
1,80
023
,597
220
620
823
,805
2025
13,7
708,
325
22,0
951,
836
23,9
312
207
209
24,1
39
2026
13,8
818,
525
22,4
071,
871
24,2
782
207
209
24,4
8620
2713
,995
8,72
822
,723
1,90
324
,626
220
620
824
,834
2028
14,1
368,
933
23,0
681,
939
25,0
072
207
209
25,2
1620
2914
,282
9,13
723
,419
1,97
825
,397
220
720
925
,606
2030
14,4
229,
340
23,7
622,
017
25,7
792
207
209
25,9
88
2031
14,5
639,
545
24,1
082,
056
26,1
642
207
209
26,3
7320
3214
,708
9,74
924
,457
2,09
626
,553
220
821
026
,762
2033
14,8
529,
956
24,8
082,
137
26,9
452
208
210
27,1
5520
3414
,989
10,1
6525
,154
2,17
727
,331
220
821
027
,542
2035
15,1
2510
,375
25,5
002,
224
27,7
242
209
211
27,9
3520
3615
,260
10,5
8625
,845
2,26
728
,112
220
921
128
,323
Avg
Ann
ual G
row
th20
01-1
5-1
.4%
0.7%
-0.8
%3.
4%-0
.6%
0.0%
-2.1
%-3
.3%
-0.2
%20
15-1
62.
3%-0
.2%
1.5%
1.7%
1.5%
0.0%
-0.7
%-0
.7%
1.5%
2015
-25
0.9%
2.6%
1.5%
2.2%
1.6%
0.0%
-0.1
%-0
.1%
1.6%
2015
-36
0.9%
2.4%
1.5%
2.1%
1.5%
0.0%
0.0%
0.0%
1.5%
Sou
rce:
Air
carri
er je
t fue
l, Fo
rm 4
1, U
.S. D
epar
tmen
t of T
rans
porta
tion;
all
othe
rs, F
AA
AP
O e
stim
ates
.1 In
clud
es b
oth
pass
enge
r (m
ainl
ine
and
regi
onal
air
carri
er) a
nd c
argo
car
riers
.2 Fo
reca
st a
ssum
es 1
.0%
ann
ual i
mpr
ovem
ent i
n av
aila
ble
seat
mile
s pe
r gal
lon
for U
.S. C
omm
erci
al A
ir C
arrie
r
80
TAB
LE 2
4
U.S.
REG
IONA
L C
AR
RIE
R F
OR
ECA
ST A
SSUM
PTIO
NS
RE
VE
NU
E P
ER
AV
ER
AG
E S
EA
TS P
ER
AIR
CR
AFT
MIL
EA
VE
RA
GE
PA
SS
EN
GE
R T
RIP
LE
NG
THP
AS
SE
NG
ER
MIL
E**
FIS
CA
LD
OM
ES
TIC
INT'
L.TO
TAL
DO
ME
STI
CIN
T'L.
TOTA
LC
UR
RE
NT
$20
15 $
Y
EA
R(S
eats
/Mile
)(S
eats
/Mile
)(S
eats
/Mile
)(M
iles)
(Mile
s)(M
iles)
(Cen
ts)
(Cen
ts)
His
toric
al20
0140
4341
302
303
302
31.6
542
.52
2008
5353
5346
153
346
221
.04
23.2
320
0955
5355
457
512
458
17.0
418
.88
2010
5653
5646
450
346
515
.74
17.1
420
1156
5356
467
531
468
15.1
016
.03
2012
5655
5646
760
647
013
.16
13.6
420
1356
5556
469
641
472
11.6
611
.88
2014
5757
5747
366
947
711
.39
11.4
220
15E
6057
6047
569
147
912
.17
12.1
7
Fore
cast
2016
6158
6147
468
847
711
.89
11.7
820
1762
5862
476
691
479
12.5
512
.10
2018
6358
6347
869
448
112
.87
12.1
120
1964
5863
480
697
483
13.2
012
.14
2020
6459
6448
270
048
513
.54
12.1
5
2021
6559
6548
470
348
713
.90
12.1
620
2265
5965
486
706
489
14.3
212
.20
2023
6660
6648
870
949
114
.79
12.2
720
2466
6066
490
711
493
15.2
112
.30
2025
6760
6749
171
449
515
.55
12.2
8
2026
6761
6749
371
749
715
.83
12.2
220
2768
6168
495
720
499
16.1
012
.15
2028
6861
6849
772
350
116
.36
12.0
720
2969
6169
499
726
503
16.6
111
.98
2030
6962
6950
172
950
516
.85
11.8
8
2031
7062
7050
373
250
717
.11
11.7
920
3270
6270
505
735
509
17.3
611
.69
2033
7163
7150
773
851
117
.64
11.6
220
3471
6371
509
740
513
17.9
311
.54
2035
7263
7251
174
351
518
.24
11.4
720
3672
6472
513
746
517
18.5
411
.39
A
vg A
nnua
l Gro
wth
2001
-15
2.8%
2.1%
2.8%
3.3%
6.1%
3.3%
-6.6
%-8
.5%
2015
-16
1.5%
0.5%
1.5%
-0.4
%-0
.4%
-0.4
%-2
.3%
-3.2
%20
15-2
51.
1%0.
5%1.
1%0.
3%0.
3%0.
3%2.
5%0.
1%20
15-3
60.
9%0.
5%0.
9%0.
4%0.
4%0.
4%2.
0%-0
.3%
Sou
rce:
For
m 4
1 an
d 29
8C, U
.S. D
epar
tmen
t of T
rans
porta
tion.
**
Rep
ortin
g ca
rrier
s.
81
TAB
LE 2
5
U.S.
REG
IONA
L C
AR
RIE
RS
SCHE
DUL
ED P
ASS
ENG
ER T
RA
FFIC
(In M
illio
ns)
FIS
CA
L R
EV
EN
UE
PA
SS
EN
GE
RS
RE
VE
NU
E P
AS
SE
NG
ER
MIL
ES
YE
AR
DO
ME
STI
CIN
TER
NA
TIO
NA
LTO
TAL
DO
ME
STI
CIN
TER
NA
TIO
NA
LTO
TAL
His
toric
al20
0180
384
24,2
9994
725
,246
2008
159
416
373
,305
1,86
775
,172
2009
154
315
770
,374
1,30
471
,678
2010
162
316
475
,030
1,34
776
,377
2011
162
216
475
,513
1,27
076
,783
2012
159
316
274
,330
1,85
676
,187
2013
155
315
872
,956
1,85
174
,807
2014
154
315
772
,953
1,92
674
,878
2015
E15
32
155
72,7
531,
548
74,3
01
Fore
cast
2016
154
215
672
,999
1,55
374
,552
2017
158
216
074
,910
1,59
476
,503
2018
161
216
477
,018
1,63
878
,656
2019
165
216
778
,974
1,68
080
,654
2020
168
217
080
,734
1,71
782
,452
2021
170
217
382
,363
1,75
284
,115
2022
173
317
583
,835
1,78
385
,619
2023
175
317
785
,154
1,81
286
,965
2024
177
318
086
,635
1,84
388
,478
2025
180
318
288
,349
1,87
990
,228
2026
183
318
590
,208
1,91
992
,127
2027
186
318
992
,118
1,96
094
,078
2028
190
319
294
,313
2,00
696
,320
2029
193
319
696
,630
2,05
698
,686
2030
197
320
098
,942
2,10
510
1,04
7
2031
201
320
410
1,36
52,
156
103,
521
2032
206
320
910
3,88
82,
210
106,
098
2033
210
321
310
6,47
82,
265
108,
743
2034
214
321
710
9,04
62,
320
111,
365
2035
218
322
111
1,64
12,
375
114,
016
2036
223
322
611
4,28
82,
431
116,
719
Avg
Ann
ual G
row
th20
01-1
54.
7%-2
.4%
4.5%
8.1%
3.6%
8.0%
2015
-16
0.7%
0.7%
0.7%
0.3%
0.3%
0.3%
2015
-25
1.6%
1.6%
1.6%
2.0%
2.0%
2.0%
2015
-36
1.8%
1.8%
1.8%
2.2%
2.2%
2.2%
Sou
rce:
For
m 4
1 an
d 29
8C, U
.S. D
epar
tmen
t of T
rans
porta
tion.
82
TAB
LE 2
6
U.S.
REG
IONA
L C
AR
RIE
RS
SCHE
DUL
ED P
ASS
ENG
ER C
APA
CIT
Y, T
RA
FFIC
, AND
LO
AD
FA
CTO
RS
DO
ME
STI
CIN
TER
NA
TIO
NA
LTO
TAL
FIS
CA
LA
SM
sR
PM
s%
LO
AD
AS
Ms
RP
Ms
% L
OA
DA
SM
sR
PM
s%
LO
AD
YE
AR
(MIL
)(M
IL)
FAC
TOR
(MIL
)(M
IL)
FAC
TOR
(MIL
)(M
IL)
FAC
TOR
His
toric
al20
0141
,418
24,2
9958
.71,
633
947
58.0
43,0
5125
,246
58.6
2008
99,4
6973
,305
73.7
2,63
21,
867
70.9
102,
101
75,1
7273
.620
0994
,664
70,3
7474
.31,
859
1,30
470
.296
,523
71,6
7874
.320
1098
,461
75,0
3076
.21,
857
1,34
772
.510
0,31
876
,377
76.1
2011
99,0
7575
,513
76.2
1,81
81,
270
69.9
100,
893
76,7
8376
.120
1295
,748
74,3
3077
.62,
595
1,85
671
.598
,343
76,1
8777
.520
1393
,084
72,9
5678
.42,
448
1,85
175
.695
,532
74,8
0778
.320
1491
,169
72,9
5380
.02,
560
1,92
675
.293
,729
74,8
7879
.920
15E
90,6
7972
,753
80.2
2,10
31,
548
73.6
92,7
8274
,301
80.1
Fore
cast
2016
90,6
6172
,999
80.5
2,10
31,
553
73.8
92,7
6474
,552
80.4
2017
92,9
8874
,910
80.6
2,15
71,
594
73.9
95,1
4576
,503
80.4
2018
95,5
6077
,018
80.6
2,21
71,
638
73.9
97,7
7778
,656
80.4
2019
97,9
4578
,974
80.6
2,27
21,
680
74.0
100,
216
80,6
5480
.520
2010
0,08
680
,734
80.7
2,32
11,
717
74.0
102,
407
82,4
5280
.5
2021
102,
065
82,3
6380
.72,
367
1,75
274
.010
4,43
284
,115
80.5
2022
103,
851
83,8
3580
.72,
409
1,78
374
.010
6,26
085
,619
80.6
2023
105,
448
85,1
5480
.82,
446
1,81
274
.110
7,89
486
,965
80.6
2024
107,
247
86,6
3580
.82,
488
1,84
374
.110
9,73
588
,478
80.6
2025
109,
334
88,3
4980
.82,
536
1,87
974
.111
1,87
090
,228
80.7
2026
111,
601
90,2
0880
.82,
589
1,91
974
.111
4,18
992
,127
80.7
2027
113,
932
92,1
1880
.92,
643
1,96
074
.211
6,57
594
,078
80.7
2028
116,
616
94,3
1380
.92,
705
2,00
674
.211
9,32
196
,320
80.7
2029
119,
450
96,6
3080
.92,
771
2,05
674
.212
2,22
198
,686
80.7
2030
122,
277
98,9
4280
.92,
836
2,10
574
.212
5,11
410
1,04
780
.8
2031
125,
242
101,
365
80.9
2,90
52,
156
74.2
128,
147
103,
521
80.8
2032
128,
331
103,
888
81.0
2,97
72,
210
74.2
131,
308
106,
098
80.8
2033
131,
502
106,
478
81.0
3,05
02,
265
74.3
134,
552
108,
743
80.8
2034
134,
646
109,
046
81.0
3,12
32,
320
74.3
137,
769
111,
365
80.8
2035
137,
824
111,
641
81.0
3,19
72,
375
74.3
141,
020
114,
016
80.9
2036
141,
064
114,
288
81.0
3,27
22,
431
74.3
144,
336
116,
719
80.9
Avg
Ann
ual G
row
th20
01-1
55.
8%8.
1%1.
8%3.
6%1.
7%5.
6%8.
0%20
15-1
60.
0%0.
3%0.
0%0.
3%0.
4%0.
0%0.
3%20
15-2
51.
9%2.
0%1.
9%2.
0%0.
1%1.
9%2.
0%20
15-3
62.
1%2.
2%2.
1%2.
2%0.
0%2.
1%2.
2%S
ourc
e: F
orm
41
and
298C
, U.S
. Dep
artm
ent o
f Tra
nspo
rtatio
n.
83
TA
BLE
27
U.S.
REG
IONA
L C
AR
RIE
RS
PASS
ENG
ER A
IRC
RA
FT
RE
GIO
NA
L A
IRC
RA
FTA
S O
FLE
SS
TH
AN
10 T
O 1
920
TO
30
31 T
O 4
0 S
EA
TSO
VE
R 4
0 S
EA
TSTO
TAL
FLE
ET
JAN
UA
RY
19
SE
ATS
SE
ATS
SE
ATS
PR
OP
JET
TOTA
LP
RO
PJE
T*TO
TAL
NO
N J
ET
JET
TOTA
LH
isto
rical
2001
490
250
248
445
110
555
148
672
820
1,58
178
22,
363
2008
451
107
6818
025
205
121
1,73
01,
851
927
1,75
52,
682
2009
466
103
6515
329
182
115
1,72
21,
837
902
1,75
12,
653
2010
440
9282
144
2817
299
1,72
81,
827
857
1,75
62,
613
2011
447
9467
113
2714
013
51,
683
1,81
885
71,
710
2,56
720
1239
490
5511
523
138
104
1,55
91,
663
758
1,58
22,
340
2013
337
9452
370
3751
1,64
21,
693
571
1,64
22,
213
2014
321
9056
320
3256
1,60
21,
658
555
1,60
22,
157
2015
E34
668
1332
032
571,
628
1,68
551
61,
628
2,14
4
Fore
cast
2016
337
6613
310
3159
1,52
71,
586
506
1,52
72,
033
2017
322
6312
300
3061
1,52
21,
583
488
1,52
22,
010
2018
198
6112
290
2963
1,47
41,
537
363
1,47
41,
837
2019
187
5811
270
2765
1,45
31,
518
348
1,45
31,
801
2020
181
5611
260
2667
1,42
01,
487
341
1,42
01,
761
2021
171
5310
250
2569
1,38
41,
453
328
1,38
41,
712
2022
165
5110
240
2471
1,37
51,
446
321
1,37
51,
696
2023
157
499
230
2372
1,39
91,
471
310
1,39
91,
709
2024
150
469
220
2274
1,41
41,
488
301
1,41
41,
715
2025
142
448
210
2176
1,43
01,
506
291
1,43
01,
721
2026
132
418
190
1978
1,46
01,
538
278
1,46
01,
738
2027
124
397
180
1880
1,48
81,
568
268
1,48
81,
756
2028
117
367
170
1781
1,52
41,
605
258
1,52
41,
782
2029
111
347
160
1683
1,55
01,
633
251
1,55
01,
801
2030
103
326
150
1585
1,58
01,
665
241
1,58
01,
821
2031
9529
614
014
861,
612
1,69
823
01,
612
1,84
220
3287
275
130
1388
1,65
01,
738
220
1,65
01,
870
2033
7824
511
011
891,
686
1,77
520
71,
686
1,89
320
3470
224
100
1091
1,71
81,
809
197
1,71
81,
915
2035
6219
49
09
921,
751
1,84
318
61,
751
1,93
720
3654
173
80
893
1,78
61,
879
175
1,78
61,
961
Avg
Ann
ual G
row
th20
01-1
5-2
.5%
-8.9
%-1
9.0%
-17.
1%N
/A-1
8.4%
-6.6
%6.
5%5.
3%-7
.7%
5.4%
-0.7
%20
15-1
6-2
.6%
-2.9
%0.
0%-3
.1%
N/A
-3.1
%3.
5%-6
.2%
-5.9
%-1
.9%
-6.2
%-5
.2%
2015
-25
-8.5
%-4
.3%
-4.7
%-4
.1%
N/A
-4.1
%2.
9%-1
.3%
-1.1
%-5
.6%
-1.3
%-2
.2%
2015
-36
-8.5
%-6
.4%
-6.7
%-6
.4%
N/A
-6.4
%2.
4%0.
4%0.
5%-5
.0%
0.4%
-0.4
%S
ourc
e: T
he V
eloc
ity G
roup
for t
he R
egio
nal A
irlin
e A
ssoc
iatio
n th
roug
h 20
04.
*Inde
pend
ence
Air
A31
9 ai
rcra
ft ar
e in
clud
ed in
Tab
le 2
0 - U
.S. M
ainl
ine
Air
Car
riers
Pas
seng
er J
et A
ircra
ft.
84
TAB
LE 2
8
AC
TIVE
GEN
ERA
L A
VIA
TIO
N A
ND A
IR T
AXI
AIR
CR
AFT
FIXE
D W
ING
TOTA
LP
ISTO
NG
EN
ER
AL
AS
OF
SIN
GLE
MU
LTI-
TUR
BO
TUR
BO
RO
TOR
CR
AFT
EXP
ER
I-S
PO
RT
AV
IATI
ON
TOTA
LTO
TAL
DE
C. 3
1E
NG
INE
EN
GIN
ETO
TAL
PR
OP
JET
TOTA
LP
ISTO
NTU
RB
INE
TOTA
LM
EN
TAL*
*A
IRC
RA
FT**
OTH
ER
FLE
ET
PIS
TON
STU
RB
INE
SH
isto
rical
*20
0114
5,03
418
,192
163,
226
6,59
67,
787
14,3
832,
292
4,49
16,
783
20,4
21N
/A6,
633
211,
446
165,
518
18,8
74
2008
145,
497
17,5
1516
3,01
28,
907
11,0
4219
,949
3,49
86,
378
9,87
623
,364
6,81
15,
652
228,
664
166,
510
26,3
2720
0914
0,64
916
,474
157,
123
9,05
511
,268
20,3
233,
499
6,48
59,
984
24,4
196,
547
5,48
022
3,87
616
0,62
226
,808
2010
139,
519
15,9
0015
5,41
99,
369
11,4
8420
,853
3,58
86,
514
10,1
0224
,784
6,52
85,
684
223,
370
159,
007
27,3
6720
11E
136,
895
15,7
0215
2,59
79,
523
11,6
5021
,173
3,41
16,
671
10,0
8224
,275
6,64
55,
681
220,
453
156,
008
27,8
4420
1212
8,84
714
,313
143,
160
10,3
0411
,793
22,0
973,
292
6,76
310
,055
26,7
152,
001
5,00
620
9,03
414
6,45
228
,860
2013
124,
398
13,2
5713
7,65
59,
619
11,6
3721
,256
3,13
76,
628
9,76
524
,918
2,05
64,
277
199,
927
140,
792
27,8
8420
1412
6,03
613
,146
139,
182
9,77
712
,362
22,1
393,
154
6,81
29,
966
26,1
912,
231
4,69
920
4,40
814
2,33
628
,951
2015
E12
5,05
013
,085
138,
135
9,57
012
,475
22,0
453,
245
6,99
510
,240
26,4
352,
410
4,61
520
3,88
014
1,38
029
,040
Fore
cast
2016
124,
055
13,0
2513
7,08
09,
420
12,6
3522
,055
3,34
07,
200
10,5
4026
,590
2,59
04,
570
203,
425
140,
420
29,2
5520
1712
3,14
012
,955
136,
095
9,31
012
,870
22,1
803,
435
7,41
010
,845
26,8
502,
770
4,56
020
3,30
013
9,53
029
,590
2018
122,
245
12,9
0513
5,15
09,
235
13,1
2522
,360
3,52
57,
615
11,1
4027
,055
2,94
54,
550
203,
200
138,
675
29,9
7520
1912
1,36
512
,855
134,
220
9,19
513
,395
22,5
903,
610
7,82
011
,430
27,2
703,
130
4,54
520
3,18
513
7,83
030
,410
2020
120,
485
12,8
1013
3,29
59,
190
13,6
8022
,870
3,69
08,
020
11,7
1027
,485
3,31
04,
525
203,
195
136,
985
30,8
90
2021
119,
585
12,7
6013
2,34
59,
215
13,9
7523
,190
3,77
08,
215
11,9
8527
,690
3,49
04,
525
203,
225
136,
115
31,4
0520
2211
8,69
012
,715
131,
405
9,27
014
,285
23,5
553,
850
8,41
012
,260
27,9
253,
675
4,52
020
3,34
013
5,25
531
,965
2023
117,
785
12,6
5513
0,44
09,
350
14,6
1023
,960
3,93
08,
605
12,5
3528
,060
3,86
04,
510
203,
365
134,
370
32,5
6520
2411
6,87
512
,595
129,
470
9,46
514
,965
24,4
304,
010
8,79
512
,805
28,3
104,
040
4,50
020
3,55
513
3,48
033
,225
2025
115,
960
12,5
4512
8,50
59,
600
15,3
4024
,940
4,09
08,
990
13,0
8028
,500
4,23
04,
490
203,
745
132,
595
33,9
30
2026
115,
045
12,4
8012
7,52
59,
775
15,7
3525
,510
4,17
09,
185
13,3
5528
,735
4,41
04,
495
204,
030
131,
695
34,6
9520
2711
4,13
012
,420
126,
550
9,98
516
,150
26,1
354,
250
9,38
013
,630
29,0
104,
585
4,48
520
4,39
513
0,80
035
,515
2028
113,
225
12,3
4012
5,56
510
,205
16,5
8026
,785
4,33
09,
575
13,9
0529
,340
4,76
04,
480
204,
835
129,
895
36,3
6020
2911
2,34
512
,260
124,
605
10,4
4017
,040
27,4
804,
410
9,77
014
,180
29,5
254,
935
4,46
520
5,19
012
9,01
537
,250
2030
111,
495
12,1
7512
3,67
010
,705
17,5
2028
,225
4,49
09,
960
14,4
5029
,850
5,11
04,
470
205,
775
128,
160
38,1
85
2031
110,
685
12,0
9512
2,78
010
,990
18,0
1529
,005
4,57
010
,160
14,7
3030
,155
5,27
54,
465
206,
410
127,
350
39,1
6520
3210
9,90
512
,015
121,
920
11,2
9518
,520
29,8
154,
655
10,3
6515
,020
30,4
555,
445
4,46
520
7,12
012
6,57
540
,180
2033
109,
155
11,9
3012
1,08
511
,610
19,0
4530
,655
4,74
010
,580
15,3
2030
,755
5,61
04,
460
207,
885
125,
825
41,2
3520
3410
8,44
511
,850
120,
295
11,9
3519
,600
31,5
354,
825
10,7
9515
,620
31,0
905,
775
4,44
520
8,76
012
5,12
042
,330
2035
107,
780
11,7
6511
9,54
512
,280
20,1
7532
,455
4,91
511
,020
15,9
3531
,365
5,94
04,
445
209,
685
124,
460
43,4
7520
3610
7,16
011
,695
118,
855
12,6
3520
,770
33,4
055,
005
11,2
5016
,255
31,6
406,
100
4,44
021
0,69
512
3,86
044
,655
Avg
Ann
ual G
row
th20
01-1
5-1
.1%
-2.3
%-1
.2%
2.7%
3.4%
3.1%
2.5%
3.2%
3.0%
1.9%
N/A
-2.6
%-0
.3%
-1.1
%3.
1%20
15-1
6-0
.8%
-0.5
%-0
.8%
-1.6
%1.
3%0.
0%2.
9%2.
9%2.
9%0.
6%7.
5%-1
.0%
-0.2
%-0
.7%
0.7%
2015
-25
-0.8
%-0
.4%
-0.7
%0.
0%2.
1%1.
2%2.
3%2.
5%2.
5%0.
8%5.
8%-0
.3%
0.0%
-0.6
%1.
6%20
15-3
6-0
.7%
-0.5
%-0
.7%
1.3%
2.5%
2.0%
2.1%
2.3%
2.2%
0.9%
4.5%
-0.2
%0.
2%-0
.6%
2.1%
* S
ourc
e: 2
001-
2010
, 201
2-20
14, F
AA
Gen
eral
Avia
tion
and
Air
Taxi
Act
ivity
(and
Avio
nics
) Sur
veys
.**
Exp
erim
enta
l Lig
ht-s
port
cate
gory
that
was
pre
vious
ly s
how
n un
der S
port
Airc
raft
is m
oved
und
er E
xper
imen
tal A
ircra
ft ca
tego
ry, s
tarti
ng in
201
2.
Not
e: A
n ac
tive
airc
raft
is o
ne th
at h
as a
cur
rent
regi
stra
tion
and
was
flow
n at
leas
t one
hou
r dur
ing
the
cale
ndar
yea
r.
TUR
BIN
E
85
TAB
LE 2
9
AC
TIVE
GEN
ERA
L A
VIA
TIO
N A
ND A
IR T
AXI
HO
URS
FLO
WN
(In T
hous
ands
)
FIXE
D W
ING
TOTA
LP
ISTO
NTU
RB
INE
GE
NE
RA
LC
ALE
ND
AR
SIN
GLE
MU
LTI-
TUR
BO
TUR
BO
RO
TOR
CR
AFT
EXP
ER
I-S
PO
RT
AV
IATI
ON
TO
TAL
TOTA
L Y
EA
RE
NG
INE
EN
GIN
ETO
TAL
PR
OP
JET
TOTA
LP
ISTO
NTU
RB
INE
TOTA
LM
EN
TAL*
*A
IRC
RA
FT**
OTH
ER
HO
UR
SP
ISTO
NS
TUR
BIN
ES
His
toric
al*
2001
16,5
492,
644
19,1
931,
773
2,65
44,
427
474
1,47
81,
952
1,15
7N
/A28
727
,016
19,6
675,
905
2008
12,7
462,
328
15,0
742,
457
3,60
06,
057
751
2,47
03,
222
1,15
529
320
926
,009
15,8
258,
527
2009
11,7
301,
903
13,6
342,
215
3,16
15,
376
755
2,24
83,
003
1,28
628
617
823
,763
14,3
897,
624
2010
12,1
611,
818
13,9
792,
325
3,37
55,
700
794
2,61
13,
405
1,22
631
118
124
,802
14,7
738,
311
2011
E11
,844
1,78
213
,626
2,46
33,
407
5,87
075
72,
654
3,41
11,
203
278
181
24,5
7014
,383
8,52
420
1211
,442
1,76
613
,207
2,73
33,
418
6,15
173
12,
723
3,45
41,
243
169
180
24,4
0413
,938
8,87
420
1310
,706
1,64
612
,352
2,58
73,
488
6,07
663
62,
312
2,94
91,
191
173
135
22,8
7612
,989
8,38
820
1410
,395
1,57
311
,967
2,61
33,
881
6,49
481
82,
424
3,24
21,
244
165
158
23,2
7112
,786
8,91
820
15E
10,3
121,
555
11,8
672,
582
3,91
36,
495
748
2,49
33,
240
1,26
018
015
423
,196
12,6
158,
988
Fore
cast
2016
10,2
251,
541
11,7
672,
564
4,01
66,
580
739
2,58
53,
323
1,28
319
415
223
,300
12,5
059,
165
2017
10,1
511,
530
11,6
812,
556
4,16
46,
720
737
2,68
03,
417
1,31
120
815
223
,490
12,4
179,
401
2018
10,0
841,
519
11,6
032,
554
4,31
56,
869
756
2,77
53,
531
1,33
722
315
223
,714
12,3
599,
644
2019
10,0
231,
510
11,5
322,
561
4,46
47,
025
774
2,87
13,
645
1,36
423
815
223
,956
12,3
079,
896
2020
9,94
61,
505
11,4
512,
570
4,61
97,
189
799
2,96
73,
766
1,39
125
315
224
,201
12,2
5010
,155
2021
9,87
91,
497
11,3
772,
589
4,77
17,
361
824
3,06
13,
885
1,41
826
815
224
,461
12,2
0110
,422
2022
9,80
01,
495
11,2
952,
611
4,92
17,
531
849
3,15
03,
999
1,44
828
415
124
,708
12,1
4410
,681
2023
9,72
41,
492
11,2
172,
639
5,06
87,
707
873
3,23
94,
112
1,47
329
915
124
,960
12,0
9010
,946
2024
9,65
01,
490
11,1
412,
671
5,22
77,
899
896
3,31
74,
213
1,50
531
515
125
,223
12,0
3611
,216
2025
9,59
61,
489
11,0
862,
710
5,38
98,
099
918
3,39
64,
313
1,53
333
115
125
,513
12,0
0311
,494
2026
9,53
61,
489
11,0
252,
764
5,54
88,
311
940
3,47
54,
415
1,56
434
715
125
,813
11,9
6511
,786
2027
9,48
31,
491
10,9
742,
824
5,70
78,
531
962
3,55
34,
515
1,59
836
315
126
,133
11,9
3712
,084
2028
9,42
41,
492
10,9
162,
885
5,87
78,
762
984
3,63
04,
614
1,63
237
915
126
,454
11,9
0012
,392
2029
9,36
81,
494
10,8
632,
954
6,05
69,
010
1,00
43,
707
4,71
21,
659
394
151
26,7
8811
,867
12,7
1720
309,
321
1,49
610
,817
3,03
26,
236
9,26
81,
024
3,78
34,
807
1,69
141
015
127
,143
11,8
4113
,050
2031
9,28
51,
496
10,7
803,
113
6,42
59,
538
1,04
43,
861
4,90
51,
722
426
151
27,5
2111
,824
13,3
9920
329,
240
1,49
810
,738
3,19
86,
610
9,80
81,
064
3,94
15,
005
1,75
344
215
127
,896
11,8
0213
,749
2033
9,19
71,
500
10,6
973,
288
6,80
010
,087
1,08
54,
024
5,10
91,
784
457
151
28,2
8511
,781
14,1
1220
349,
158
1,50
210
,660
3,37
96,
994
10,3
731,
105
4,10
75,
212
1,81
847
315
028
,687
11,7
6614
,480
2035
9,14
61,
503
10,6
493,
478
7,21
610
,694
1,12
74,
193
5,32
11,
849
489
150
29,1
5211
,776
14,8
8720
369,
119
1,50
510
,623
3,57
57,
422
10,9
971,
149
4,28
15,
430
1,87
650
515
029
,582
11,7
7215
,278
Avg
Ann
ual G
row
th20
01-1
5-3
.3%
-3.7
%-3
.4%
2.7%
2.8%
2.8%
3.3%
3.8%
3.7%
0.6%
N/A
-4.4
%-1
.1%
-3.1
%3.
0%20
15-1
6-0
.8%
-0.9
%-0
.8%
-0.7
%2.
6%1.
3%-1
.2%
3.7%
2.6%
1.8%
8.0%
-1.0
%0.
4%-0
.9%
2.0%
2015
-25
-0.7
%-0
.4%
-0.7
%0.
5%3.
3%2.
2%2.
1%3.
1%2.
9%2.
0%6.
3%-0
.2%
1.0%
-0.5
%2.
5%20
15-3
6-0
.6%
-0.2
%-0
.5%
1.6%
3.1%
2.5%
2.1%
2.6%
2.5%
1.9%
5.0%
-0.1
%1.
2%-0
.3%
2.6%
* S
ourc
e: 2
001-
2010
, 201
2-20
14, F
AA
Gen
eral
Avia
tion
and
Air
Taxi
Act
ivity
(and
Avio
nics
) Sur
veys
.**
Exp
erim
enta
l Lig
ht-s
port
cate
gory
that
was
pre
vious
ly s
how
n un
der S
port
Airc
raft
is m
oved
und
er E
xper
imen
tal A
ircra
ft ca
tego
ry, s
tarti
ng in
201
2.
Not
e: A
n ac
tive
airc
raft
is o
ne th
at h
as a
cur
rent
regi
stra
tion
and
was
flow
n at
leas
t one
hou
r dur
ing
the
cale
ndar
yea
r.
86
TAB
LE 3
0
AC
TIVE
PIL
OTS
BY
TYP
E O
F C
ERTI
FIC
ATE
RO
TOR
-TO
TAL
INS
TRU
ME
NT
AS
OF
RE
CR
EA
-S
PO
RT
AIR
LIN
EC
RA
FTG
LID
ER
TOTA
LLE
SS
RA
TED
D
EC
. 31
STU
DE
NTS
TIO
NA
LP
ILO
TP
RIV
ATE
CO
MM
ER
CIA
LTR
AN
SP
OR
TO
NLY
ON
LYP
ILO
TSA
T P
ILO
TSP
ILO
TS1
His
toric
al*
2001
94,4
2031
6N
/A24
3,82
312
0,50
214
4,70
27,
727
8,47
361
9,96
347
5,26
131
5,27
6
2008
80,9
8925
22,
623
222,
596
124,
746
146,
838
14,6
4721
,055
613,
746
466,
908
325,
247
2009
72,2
8023
43,
248
211,
619
125,
738
144,
600
15,2
9821
,268
594,
285
449,
685
323,
495
2010
1
19,1
19 2
212
3,68
220
2,02
012
3,70
514
2,19
815
,377
21,2
7562
7,58
848
5,39
031
8,00
120
1111
8,65
722
74,
066
194,
441
120,
865
142,
511
15,2
2021
,141
617,
128
474,
617
314,
122
2012
119,
946
218
4,49
318
8,00
111
6,40
014
5,59
015
,126
20,8
0261
0,57
646
4,98
631
1,95
220
1312
0,28
523
84,
824
180,
214
108,
206
149,
824
15,1
1420
,381
599,
086
449,
262
307,
120
2014
120,
546
220
5,15
717
4,88
310
4,32
215
2,93
315
,511
19,9
2759
3,49
944
0,56
630
6,06
620
1512
2,72
919
05,
482
170,
718
101,
164
154,
730
15,5
6619
,460
590,
039
435,
309
304,
329
Fore
cast
2016
123,
900
190
5,90
017
0,45
098
,700
155,
000
15,5
7519
,270
588,
985
433,
985
304,
400
2017
124,
650
190
6,35
016
8,25
096
,750
155,
400
15,6
4519
,240
586,
475
431,
075
303,
900
2018
125,
200
190
6,85
016
5,95
095
,200
155,
400
15,8
0019
,190
583,
780
428,
380
303,
450
2019
125,
700
190
7,20
016
4,05
094
,000
155,
700
16,0
3519
,095
581,
970
426,
270
303,
250
2020
126,
150
190
7,60
016
4,35
093
,000
156,
200
16,3
3019
,075
582,
895
426,
695
303,
950
2021
126,
600
185
8,00
016
3,60
092
,200
156,
600
16,6
8519
,025
582,
895
426,
295
304,
300
2022
127,
000
185
8,40
016
1,65
091
,550
156,
900
17,0
8018
,965
581,
730
424,
830
304,
150
2023
127,
400
185
8,85
015
9,30
091
,050
157,
300
17,5
1019
,010
580,
605
423,
305
303,
950
2024
127,
750
185
9,30
015
7,35
090
,650
157,
800
17,9
6518
,980
579,
980
422,
180
303,
900
2025
128,
150
185
9,75
015
6,00
090
,350
158,
600
18,4
4018
,915
580,
390
421,
790
304,
100
2026
128,
500
180
10,2
0015
5,10
090
,050
159,
300
18,9
3518
,860
581,
125
421,
825
304,
550
2027
128,
900
180
10,6
5015
4,35
089
,850
160,
000
19,4
4018
,795
582,
165
422,
165
305,
000
2028
129,
300
180
11,1
0015
3,75
089
,700
160,
900
19,9
6018
,810
583,
700
422,
800
305,
650
2029
129,
650
180
11,5
5015
3,30
089
,550
161,
800
20,4
8518
,790
585,
305
423,
505
306,
300
2030
130,
000
180
12,0
0015
2,85
089
,400
162,
800
21,0
1518
,835
587,
080
424,
280
307,
000
2031
130,
350
180
12,4
5015
2,50
089
,300
163,
800
21,5
5518
,835
588,
970
425,
170
307,
700
2032
130,
650
180
12,9
0015
2,15
089
,200
164,
800
22,1
0518
,860
590,
845
426,
045
308,
500
2033
131,
000
180
13,3
0015
1,60
089
,150
165,
700
22,6
6518
,875
592,
470
426,
770
309,
150
2034
131,
250
180
13,7
0015
1,15
089
,100
166,
600
23,2
3518
,830
594,
045
427,
445
309,
850
2035
131,
550
180
14,1
5015
0,60
089
,000
167,
600
23,8
2018
,835
595,
735
428,
135
310,
550
2036
131,
800
180
14,6
0015
0,20
088
,950
168,
600
24,4
2018
,825
597,
575
428,
975
311,
300
Avg
Ann
ual G
row
th20
01-1
51.
9%-3
.6%
N/A
-2.5
%-1
.2%
0.5%
5.1%
6.1%
-0.4
%-0
.6%
-0.3
%20
15-1
61.
0%0.
0%7.
6%-0
.2%
-2.4
%0.
2%0.
1%-1
.0%
-0.2
%-0
.3%
0.0%
2015
-25
0.4%
-0.3
%5.
9%-0
.9%
-1.1
%0.
2%1.
7%-0
.3%
-0.2
%-0
.3%
0.0%
2015
-36
0.3%
-0.3
%4.
8%-0
.6%
-0.6
%0.
4%2.
2%-0
.2%
0.1%
-0.1
%0.
1%*
Sou
rce:
FA
A U
.S. C
ivil A
irmen
Sta
tistic
s.1 In
stru
men
t rat
ed p
ilots
sho
uld
not b
e ad
ded
to o
ther
cat
egor
ies
in d
erivi
ng to
tal.
2 In J
uly
2010
, the
FA
A is
sued
a ru
le th
at in
crea
sed
the
dura
tion
of v
alid
ity fo
r stu
dent
pilo
t cer
tific
ates
for p
ilots
und
er th
e ag
e of
40
from
36
to 6
0 m
onth
s.
This
resu
lted
in th
e in
crea
se in
act
ive s
tude
nt p
ilots
to 1
19,1
19 fr
om 7
2,28
0 at
the
end
of 2
009.
Not
e: A
n ac
tive
pilo
t is
a pe
rson
with
a p
ilot c
ertif
icat
e an
d a
valid
med
ical
cer
tific
ate.
87
TAB
LE 3
1
GEN
ERA
L A
VIA
TIO
N A
IRC
RA
FT F
UEL
CO
NSUM
PTIO
N(In
Mill
ions
of G
allo
ns)
FIXE
D W
ING
PIS
TON
TUR
BIN
EE
XPE
RI-
TOTA
L FU
EL
CO
NS
UM
ED
CA
LEN
DA
RS
ING
LEM
ULT
I-TU
RB
O-
TUR
BO
-R
OTO
RC
RA
FTM
EN
TAL*
*/JE
TY
EA
RE
NG
INE
EN
GIN
EP
RO
PJE
TP
ISTO
NTU
RB
INE
OTH
ER
SP
OR
T**
AV
GA
SFU
EL
TOTA
LH
isto
rical
*20
0118
076
149
727
743
15N
/A27
991
81,
198
2008
143
6923
01,
313
1116
223
124
81,
706
1,95
420
0913
257
209
1,10
511
134
261
227
1,44
71,
674
2010
133
5418
71,
123
1112
522
122
11,
435
1,65
620
11E
130
5319
51,
125
1013
621
121
61,
456
1,67
220
1212
654
209
1,07
710
149
161
206
1,43
51,
641
2013
117
5418
994
59
126
161
197
1,26
01,
457
2014
120
4819
91,
135
1113
229
121
01,
466
1,67
620
15E
119
4819
61,
140
1013
531
120
81,
471
1,68
0
Fore
cast
2016
118
4719
21,
165
1014
031
120
71,
497
1,70
420
1711
747
191
1,20
210
143
311
206
1,53
61,
742
2018
116
4619
01,
239
1014
832
120
61,
576
1,78
220
1911
546
189
1,27
510
152
331
206
1,61
71,
823
2020
114
4619
01,
313
1115
734
120
61,
660
1,86
6
2021
113
4619
01,
350
1116
235
120
61,
702
1,90
820
2211
346
191
1,37
811
165
351
206
1,73
41,
940
2023
111
4519
21,
405
1216
936
120
61,
766
1,97
220
2411
145
193
1,43
512
172
372
206
1,80
02,
006
2025
110
4519
61,
464
1217
537
220
71,
836
2,04
2
2026
109
4519
91,
492
1318
038
220
71,
871
2,07
720
2710
845
201
1,52
013
182
382
206
1,90
32,
109
2028
107
4520
51,
549
1318
539
220
71,
939
2,14
620
2910
645
210
1,58
013
188
402
207
1,97
82,
184
2030
106
4521
41,
611
1419
240
220
72,
017
2,22
4
2031
105
4521
91,
643
1419
441
220
72,
056
2,26
420
3210
445
225
1,67
414
198
422
208
2,09
62,
304
2033
103
4523
01,
705
1420
243
220
82,
137
2,34
420
3410
345
235
1,73
615
206
432
208
2,17
72,
385
2035
102
4524
11,
773
1521
044
220
92,
224
2,43
320
3610
145
247
1,80
515
215
452
209
2,26
72,
476
Avg
Ann
ual G
row
th20
01-1
5-2
.9%
-3.3
%2.
0%3.
3%2.
5%8.
6%5.
1%N
/A-2
.1%
3.4%
2.4%
2015
-16
-1.0
%-0
.9%
-1.7
%2.
1%-1
.4%
3.2%
1.1%
8.0%
-0.7
%1.
7%1.
4%20
15-2
5-0
.8%
-0.5
%0.
0%2.
5%2.
0%2.
6%2.
0%6.
1%-0
.1%
2.2%
2.0%
2015
-36
-0.8
%-0
.2%
1.1%
2.2%
2.0%
2.2%
1.8%
4.9%
0.0%
2.1%
1.9%
*Sou
rce:
FA
A A
PO
Est
imat
es.
**E
xper
imen
tal L
ight
-spo
rt ca
tego
ry th
at w
as p
revio
usly
sho
wn
unde
r Spo
rt A
ircra
ft is
mov
ed u
nder
Exp
erim
enta
l Airc
raft
cate
gory
, sta
rting
in 2
012.
N
ote:
Det
ail m
ay n
ot a
dd to
tota
l bec
ause
of i
ndep
ende
nt ro
undi
ng.
88
TAB
LE 3
2
TOTA
L C
OM
BIN
ED A
IRC
RA
FT O
PER
ATI
ONS
AT
AIR
POR
TS
WIT
H F
AA
AND
CO
NTR
AC
T TR
AFF
IC C
ONT
RO
L SE
RVI
CE
(In T
hous
ands
)
FIS
CA
LA
IRA
IR T
AXI
/G
EN
ER
AL
AV
IATI
ON
MIL
ITA
RY
NU
MB
ER
OF
TOW
ER
SY
EA
RC
AR
RIE
RC
OM
MU
TER
ITIN
ER
AN
TLO
CA
LTO
TAL
ITIN
ER
AN
TLO
CA
LTO
TAL
TOTA
LFA
AC
ON
TRA
CT
His
toric
al20
0114
,763
10,8
8221
,433
16,1
9437
,626
1,47
91,
438
2,91
766
,188
266
206
2008
13,7
8011
,032
17,4
9314
,081
31,5
741,
285
1,24
62,
531
58,9
1726
423
920
0912
,836
9,52
115
,571
12,4
4828
,019
1,30
51,
280
2,58
652
,962
264
244
2010
12,6
589,
410
14,8
6411
,716
26,5
801,
309
1,29
82,
607
51,2
5526
424
420
1112
,866
9,27
914
,528
11,4
3725
,965
1,31
91,
311
2,63
051
,123
264
248
2012
12,8
738,
994
14,5
2211
,608
26,1
301,
309
1,27
02,
579
50,7
5526
425
020
1312
,776
8,80
314
,117
11,6
8825
,806
1,27
51,
276
2,55
250
,057
264
252
2014
13,0
158,
440
13,9
7911
,675
25,6
541,
270
1,24
52,
515
49,6
2426
425
220
15E
13,7
557,
895
13,8
8711
,691
25,5
781,
292
1,20
32,
495
49,7
2326
425
2
Fore
cast
2016
14,4
987,
499
13,9
0311
,776
25,6
791,
292
1,20
32,
495
50,1
7226
425
220
1715
,000
7,39
013
,942
11,8
2225
,765
1,29
21,
203
2,49
550
,651
264
252
2018
15,5
627,
177
13,9
8211
,869
25,8
511,
292
1,20
32,
495
51,0
8626
425
220
1916
,168
6,91
614
,022
11,9
1625
,938
1,29
21,
203
2,49
551
,517
264
252
2020
16,8
346,
641
14,0
6211
,963
26,0
261,
292
1,20
32,
495
51,9
9626
425
2
2021
17,5
616,
294
14,1
0312
,011
26,1
141,
292
1,20
32,
495
52,4
6426
425
220
2218
,350
5,83
714
,144
12,0
5926
,203
1,29
21,
203
2,49
552
,885
264
252
2023
18,9
805,
544
14,1
8412
,108
26,2
921,
292
1,20
32,
495
53,3
1126
425
220
2419
,373
5,52
814
,226
12,1
5626
,382
1,29
21,
203
2,49
553
,778
264
252
2025
19,7
065,
579
14,2
6712
,206
26,4
731,
292
1,20
32,
495
54,2
5326
425
2
2026
20,0
535,
631
14,3
0912
,255
26,5
641,
292
1,20
32,
495
54,7
4326
425
220
2720
,403
5,68
514
,351
12,3
0526
,656
1,29
21,
203
2,49
555
,239
264
252
2028
20,7
515,
738
14,3
9312
,355
26,7
491,
292
1,20
32,
495
55,7
3326
425
220
2921
,096
5,79
214
,436
12,4
0626
,842
1,29
21,
203
2,49
556
,225
264
252
2030
21,4
405,
847
14,4
7912
,457
26,9
361,
292
1,20
32,
495
56,7
1926
425
2
2031
21,7
865,
902
14,5
2212
,509
27,0
311,
292
1,20
32,
495
57,2
1426
425
220
3222
,147
5,95
814
,566
12,5
6127
,126
1,29
21,
203
2,49
557
,726
264
252
2033
22,5
186,
016
14,6
0912
,613
27,2
221,
292
1,20
32,
495
58,2
5126
425
220
3422
,906
6,07
514
,653
12,6
6627
,319
1,29
21,
203
2,49
558
,795
264
252
2035
23,2
996,
137
14,6
9812
,719
27,4
161,
292
1,20
32,
495
59,3
4826
425
220
3623
,695
6,19
914
,742
12,7
7227
,514
1,29
21,
203
2,49
559
,904
264
252
Avg
Ann
ual G
row
th20
01-1
5-0
.5%
-2.3
%-3
.1%
-2.3
%-2
.7%
-1.0
%-1
.3%
-1.1
%-2
.0%
2015
-16
5.4%
-5.0
%0.
1%0.
7%0.
4%0.
0%0.
0%0.
0%0.
9%20
15-2
53.
7%-3
.4%
0.3%
0.4%
0.3%
0.0%
0.0%
0.0%
0.9%
2015
-36
2.6%
-1.1
%0.
3%0.
4%0.
3%0.
0%0.
0%0.
0%0.
9%S
ourc
e: F
AA
Air
Traf
fic A
ctivi
ty.
89
TAB
LE 3
3
TOTA
L TR
AC
ON
OPE
RA
TIO
NS(In
Tho
usan
ds)
FIS
CA
LA
IRA
IR T
AXI
/G
EN
ER
AL
YE
AR
CA
RR
IER
CO
MM
UTE
RA
VIA
TIO
NM
ILIT
AR
YTO
TAL
His
toric
al20
0115
,879
11,3
0819
,270
3,46
549
,921
2008
14,4
4311
,048
15,7
632,
400
43,6
5420
0913
,302
9,62
314
,151
2,39
939
,475
2010
13,1
749,
511
13,8
642,
438
38,9
8720
1113
,068
9,34
913
,503
2,37
538
,295
2012
13,0
458,
977
13,4
242,
332
37,7
7820
1312
,914
8,79
713
,048
2,22
536
,984
2014
13,1
868,
390
13,0
182,
229
36,8
2320
15E
13,9
647,
864
13,0
792,
286
37,1
93
Fore
cast
2016
14,7
027,
426
13,0
402,
286
37,4
5520
1715
,203
7,30
313
,101
2,28
637
,893
2018
15,7
617,
064
13,1
562,
286
38,2
6720
1916
,362
6,77
113
,211
2,28
638
,631
2020
17,0
246,
465
13,2
702,
286
39,0
45
2021
17,7
456,
080
13,3
282,
286
39,4
3920
2218
,525
5,57
213
,380
2,28
639
,763
2023
19,1
505,
244
13,4
342,
286
40,1
1520
2419
,544
5,22
113
,495
2,28
640
,547
2025
19,8
795,
272
13,5
582,
286
40,9
95
2026
20,2
285,
323
13,6
222,
286
41,4
5920
2720
,580
5,37
713
,686
2,28
641
,929
2028
20,9
305,
431
13,7
502,
286
42,3
9720
2921
,277
5,48
413
,814
2,28
642
,862
2030
21,6
245,
539
13,8
792,
286
43,3
27
2031
21,9
735,
593
13,9
442,
286
43,7
9520
3222
,335
5,64
814
,010
2,28
644
,279
2033
22,7
095,
707
14,0
782,
286
44,7
8020
3423
,099
5,76
714
,147
2,28
645
,300
2035
23,4
955,
830
14,2
172,
286
45,8
2920
3623
,894
5,89
414
,288
2,28
646
,361
Avg
Ann
ual G
row
th20
01-1
5-0
.9%
-2.6
%-2
.7%
-2.9
%-2
.1%
2015
-16
5.3%
-5.6
%-0
.3%
0.0%
0.7%
2015
-25
3.6%
-3.9
%0.
4%0.
0%1.
0%20
15-3
62.
6%-1
.4%
0.4%
0.0%
1.1%
Sou
rce:
FA
A A
ir Tr
affic
Act
ivity
.
90
TAB
LE 3
4
IFR
AIR
CR
AFT
HA
NDLE
D
AT
FA
A E
N R
OUT
E T
RA
FFIC
CO
NTR
OL
CEN
TER
S(In
Tho
usan
ds)
IFR
AIR
CR
AFT
HA
ND
LED
FIS
CA
LA
IRA
IR T
AXI
/G
EN
ER
AL
YE
AR
CA
RR
IER
CO
MM
UTE
RA
VIA
TIO
NM
ILIT
AR
Y
TO
TAL
His
toric
al20
0124
,866
8,30
38,
025
4,03
945
,232
2008
23,8
9510
,179
7,67
13,
649
45,3
9420
0922
,407
8,56
26,
332
2,99
340
,293
2010
22,3
428,
624
6,55
02,
982
40,4
9820
1123
,432
9,01
06,
557
2,22
841
,227
2012
23,6
518,
932
6,47
21,
860
40,9
1520
1323
,205
8,67
36,
440
1,67
639
,994
2014
24,2
678,
507
6,74
11,
830
41,3
4620
15E
25,2
707,
847
7,00
71,
795
41,9
18
Fore
cast
2016
25,9
757,
711
7,06
11,
795
42,5
4120
1726
,692
7,57
97,
119
1,79
543
,185
2018
27,3
717,
424
7,16
11,
795
43,7
5120
1928
,049
7,25
77,
198
1,79
544
,299
2020
28,7
717,
089
7,24
21,
795
44,8
97
2021
29,4
566,
944
7,28
11,
795
45,4
7520
2230
,097
6,78
07,
307
1,79
545
,978
2023
30,7
676,
614
7,33
81,
795
46,5
1320
2431
,511
6,45
67,
380
1,79
547
,142
2025
32,2
376,
339
7,42
51,
795
47,7
96
2026
32,8
856,
320
7,47
51,
795
48,4
7620
2733
,548
6,29
97,
528
1,79
549
,170
2028
34,2
196,
274
7,58
21,
795
49,8
6920
2934
,895
6,24
47,
635
1,79
550
,570
2030
35,5
706,
220
7,69
01,
795
51,2
76
2031
36,2
076,
241
7,74
61,
795
51,9
8820
3236
,861
6,26
37,
803
1,79
552
,722
2033
37,5
346,
286
7,86
31,
795
53,4
7720
3438
,229
6,31
07,
927
1,79
554
,261
2035
38,9
296,
345
7,99
41,
795
55,0
6420
3639
,631
6,38
88,
063
1,79
555
,876
Avg
Ann
ual G
row
th20
01-1
50.
1%-0
.4%
-1.0
%-5
.6%
-0.5
%20
15-1
62.
8%-1
.7%
0.8%
0.0%
1.5%
2015
-25
2.5%
-2.1
%0.
6%0.
0%1.
3%20
15-3
62.
2%-1
.0%
0.7%
0.0%
1.4%
Sou
rce:
FA
A A
ir Tr
affic
Act
ivity
91