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BTS 35-07
Wednesday, July 25, 2007
Contact: Dave Smallen
Tel.: (202) 366-5568
BTS Releases First-Quarter 2007 Air Fare Data;
Average First Quarter Air Fares Fell 0.6 Percent from 2006;
Top 100 Airports: Highest Fare in Cincinnati, Lowest Fare at Dallas Love
Average air fares in the first quarter of 2007 were down 0.6 percent from the
first quarter of 2006 and remained well below the pre-9/11 high (Table 1), the
U.S. Department of Transportation’s Bureau of Transportation Statistics (BTS)
reported today.
BTS, a part of the Research and Innovative Technology Administration, reported
that the average domestic itinerary fare in the first quarter of 2007 was $380,
down 0.6 percent from the average fare in the first quarter of 2006 and down
10.1 percent from the historic first-quarter high of $422 in 2000 (Table 1).
Average fares are based on domestic itinerary fares, round-trip or one-way for
which no return is purchased. Averages include frequent-flyer fares.
Average air fares in the first quarter rose 0.1 percent from the fourth-quarter
2006 average of $379 but fell 6.5 percent from the post-2001 high of $406 in the
second quarter of 2006 (Table 2). Quarter-to-quarter changes may be affected by
seasonal factors.
Of the top 100 airports based on passenger enplanements, the highest
first-quarter average fares were in Cincinnati, followed by Anchorage, AK;
Honolulu; New York JFK; and San Francisco. The lowest fares in the top 100
airports were at Dallas Love Field, followed by Chicago Midway Airport; Houston
William P. Hobby Airport; Islip, NY; and Buffalo, NY (Table 3). See
http://www.bts.gov/xml/atpi/src/index.xml
for average fares for the top 100 airports.
The largest year-to-year average fare increase for the first quarter among the
100 largest airports, ranked by passengers, was 14.7 percent in Cincinnati,
followed by Dallas Love; Salt Lake City; Atlanta; and Hartford, CT. (Table 4).
The biggest year-to-year average fare decrease for the first quarter was 12.6
percent for itineraries originating in Pittsburgh, followed by Portland, ME;
Kona, HI; Charlotte, NC; and Long Beach, CA. (Table 4).
The largest average fare increase from the first quarter of 2001 to the first
quarter of 2007 was 30.9 percent in Lihue (Kauai), HI. The other top fare index
increases over this period took place at Kahului (Maui), HI; Cincinnati;
Spokane, WA; and Anchorage, AK (Table 5).
The largest average fare decrease from the first quarter of 2001 to the first
quarter of 2007 was 29.6 percent in Charlotte, NC. The other top five fare index
decreases over this period took place at Long Beach, CA; Philadelphia;
Pittsburgh; and Denver (Table 5).
First-quarter 2007 average fares were up 7.7 percent from their recent
first-quarter low in 2005 but down 10.1 percent from their all-time
first-quarter high in 2001 (Table 6).
The Air Travel Price Index (ATPI)
A separate measure of fares, the BTS Air Travel Price Index (ATPI) was virtually
unchanged from the first quarter of 2006 and remained near its highest first
quarter level since the first quarter of 2001 (Table 7) (1995 1st quarter =
100).
ATPI is a statistical index that documents quarterly changes in airline prices
since the first quarter of 1995. The index measures changes in airline ticket
prices used on identical routings and identical classes of service on a
quarter-by-quarter basis. The index can be used to compare airfares in the most
recent available quarter to any quarter since the base year of 1995.
While the ATPI measures changes in fares, average fares measure the actual level
of fares paid by passengers. Average fares take account of both the level of
fares and the number of passengers purchasing fares at different levels. Average
fares do not necessarily account for the level of service, as ATPI does.
Average fare calculations and the ATPI, while similar, measure air fares in two
different ways and may produce different results. ATPI measures the rise in
airfares and average fares show the increased use of lower fares. The varying
results reflect trends in the airline industry that have resulted in more
passengers using lower air fares even though fare levels continue to rise.
First, low-cost carriers, which generally offer lower fares, now carry more than
27 percent of all domestic enplaned passengers, up from about 14 percent in
1995. Second, the network carriers have changed some of their fare rules, such
as the “Saturday Night Stay Rule”, which has allowed more passengers to purchase
lower fares. Third, use of the internet allows almost instant price comparisons
that give the customer the opportunity for unprecedented low-fare shopping.
The minimal change in the ATPI from the first quarter of 2006 to the first
quarter of 2007 reversed last year’s trend when the first quarter 2006 index
rose by 10.3 per cent from the first quarter of 2005, the largest first quarter
year-to-year gain in the index’s history (Table 8).
While remaining high, the ATPI rose only slightly to 114.6 from 114.0 in 4th
quarter 2006. Quarter-to-quarter changes may be affected by seasonal factors
(Table 2).
The largest year-to-year fare index increase for the first quarter among the 85
largest airline markets, ranked by passengers, was 12.6 percent in Long Beach,
CA followed by Providence, RI; Hartford, CT; Miami; and Cincinnati (Table 9).
-more-
The biggest year-to-year ATPI decrease for the first quarter was 24.1 percent
for trips originating in Kona, HI. The top four fare decreases over this period
took place at Hawaiian airports. Columbus, OH was the non-Hawaiian market with a
top five fare decrease (Table 9).
The largest fare index increase from the first quarter of 1995 to the first
quarter of 2007 was 72.7 percent in Lihui (Kauai), HI. The other top ATPI
increases over this period took place at Burbank/Glendale/Pasadena, CA;
Anchorage, AK; Long Beach, CA; and Kona, HI (Table 10).
The only first-quarter 12-year fare index decreases were in Manchester, NH;
Denver; Richmond, VA and Buffalo/Niagara, NY. The smallest increase was in
Rochester, NY (Table 10).
Additional information about average fares, including fares for the top 100
airports based on passenger enplanements, can be found on the BTS website at
http://www.bts.gov/xml/atpi/src/index.xml. Additional information can also be
found on that page about the ATPI, including indexes for foreign-origin
itineraries and the top 85 air travel markets based on originating passengers.
Second-quarter average fare data and the ATPI will be released on Oct. 24.
The ATPI series are computed using a price index methodology. Although the ATPI
is computed using a tested index methodology, it is considered a research series
at this time.
Table 1: First Quarter Average Domestic Fares from Year-to-Year
Fares based on domestic itinerary fares, round-trip or one-way for which no return is purchased.
|
|
Average Domestic Fares ($) |
Percent change from same quarter previous year |
|
1995 |
391.6 |
|
|
1996 |
362.8 |
-7.3 |
|
1997 |
382.6 |
5.5 |
|
1998 |
411.3 |
7.5 |
|
1999 |
411.8 |
0.1 |
|
2000 |
413.8 |
0.5 |
|
2001 |
422.4 |
2.1 |
|
2002 |
377.6 |
-10.6 |
|
2003 |
378.6 |
0.3 |
|
2004 |
377.2 |
-0.4 |
|
2005 |
352.7 |
-6.5 |
|
2006 |
382.0 |
8.3 |
|
2007 |
379.8 |
-0.6 |
Source: Bureau of Transportation Statistics
Table 2: Average Domestic Airline Fares and Air Travel Price Index Since Second Quarter 2005
Percent Change by Quarter
Fares based on domestic itinerary fares, round-trip or one-way for which no return is purchased.
ATPI 1Q 1995=100
|
|
Average Domestic Fares |
Air Travel Price Index |
|||
|
Avg Fare ($) |
Pct. Change |
Index |
Pct. Change |
||
|
Second Quarter 2005 |
362.2 |
2.7 |
108.2 |
4.1 |
|
|
Third Quarter 2005 |
360.0 |
-0.6 |
109.2 |
0.9 |
|
|
Fourth Quarter 2005 |
367.2 |
2.0 |
111.5 |
2.2 |
|
|
First Quarter 2006 |
382.0 |
4.0 |
114.6 |
2.7 |
|
|
Second Quarter 2006 |
406.4 |
6.4 |
120.6 |
5.3 |
|
|
Third Quarter 2006 |
391.2 |
-4.3 |
117.4 |
-2.6 |
|
|
Fourth Quarter 2006 |
379.5 |
-3.0 |
114.0 |
-2.9 |
|
|
First Quarter 2007 |
379.8 |
0.1 |
114.6 |
0.5 |
|
Source: Bureau of Transportation Statistics
Table 3: Highest and Lowest Average Domestic Fares First Quarter 2007
Top 100 Airports Based on Passenger Enplanements
Fares based on domestic itinerary fares, round-trip or one-way for which no return is purchased.
|
Rank |
Origin |
First Quarter 2007 |
|
|
Highest Average Fares |
|
|
1 |
Cincinnati OH |
531.5 |
|
2 |
Anchorage AK |
526.1 |
|
3 |
Honolulu HI |
489.4 |
|
4 |
New York NY: JFK |
479.5 |
|
5 |
San Francisco CA |
479.3 |
|
|
|
|
|
|
Average Fare at All Airports |
379.8 |
|
|
|
|
|
|
Lowest Average Fares |
|
|
1 |
Dallas TX: Love Field |
238.1 |
|
2 |
Chicago IL: Midway |
271.2 |
|
3 |
Houston TX: Hobby |
282.6 |
|
4 |
Islip NY |
287.9 |
|
5 |
Buffalo NY |
292.8 |
Source: Bureau of Transportation Statistics
Table 4: Top Five First Quarter Average Domestic Fare Increases and Decreases, 2006-2007
Top 100 Airports by Passenger Enplanements
|
Rank |
Origin |
First Quarter 2006 |
First Quarter 2007 |
Percent Change from 2006 |
|
|
Largest Increases |
|
|
|
|
1 |
Cincinnati OH |
463.5 |
531.5 |
14.7 |
|
2 |
Dallas TX: Love Field |
215.2 |
238.1 |
10.6 |
|
3 |
Salt Lake City UT |
366.0 |
403.7 |
10.3 |
|
4 |
Atlanta GA |
399.6 |
429.0 |
7.4 |
|
5 |
Hartford CT |
350.2 |
372.8 |
6.4 |
|
|
|
|
|
|
|
|
Average Fare at All Airports |
382.0 |
379.8 |
-0.6 |
|
|
|
|
|
|
|
|
Largest Decreases |
|
|
|
|
1 |
Pittsburgh PA |
368.5 |
322.0 |
-12.6 |
|
2 |
Portland ME |
419.1 |
367.9 |
-12.2 |
|
3 |
Kona HI |
424.2 |
373.9 |
-11.9 |
|
4 |
Charlotte NC |
420.2 |
372.4 |
-11.4 |
|
5 |
Long Beach CA |
347.5 |
316.5 |
-8.9 |
Source: Bureau of Transportation Statistics
Table 5: Top Five Average Domestic Fare Increases and Decreases, 2001-2007
Top 100 Airports by Passenger Enplanements
|
Rank |
Origin |
First Quarter 2001 |
First Quarter 2007 |
Percent Change from 2001 |
|
|
Largest Increases |
|
|
|
|
1 |
Lihue (Kauai) HI |
263.5 |
345.0 |
30.9 |
|
2 |
Kahului (Maui) HI |
363.9 |
400.7 |
10.1 |
|
3 |
Cincinnati OH |
483.6 |
531.5 |
9.9 |
|
4 |
Spokane WA |
315.8 |
341.8 |
8.2 |
|
5 |
Anchorage AK |
490.4 |
526.1 |
7.3 |
|
|
|
|
|
|
|
|
Average Fare at All Airports |
422.4 |
379.8 |
-10.1 |
|
|
|
|
|
|
|
|
Largest Decreases |
|
|
|
|
1 |
Charlotte NC |
529.4 |
372.4 |
-29.6 |
|
2 |
Long Beach CA |
436.0 |
316.5 |
-27.4 |
|
3 |
Philadelphia PA |
494.4 |
361.0 |
-27.0 |
|
4 |
Pittsburgh PA |
437.5 |
322.0 |
-26.4 |
|
5 |
Denver CO |
495.1 |
365.6 |
-26.2 |
Source: Bureau of Transportation Statistics
Table 6: Percent Changes to 2007 in Average Fares
From First Quarter Each Year Since 1995
U.S.-Origin Itineraries, First Quarter to First Quarter
|
Percent Change to First Quarter 2007 |
Since... |
Duration in Years |
|
-0.6 |
2006 |
1 |
|
7.7 |
2005 |
2 |
|
0.7 |
2004 |
3 |
|
0.3 |
2003 |
4 |
|
0.6 |
2002 |
5 |
|
|
|
|
|
-10.1 |
2001 |
6 |
|
-8.2 |
2000 |
7 |
|
-7.8 |
1999 |
8 |
|
-7.7 |
1998 |
9 |
|
-0.7 |
1997 |
10 |
|
|
|
|
|
4.7 |
1996 |
11 |
|
-3.0 |
1995 |
12 |
Source: Bureau of Transportation Statistics
Table 7: Percent Changes to 2007 in the Air Travel Price Index
From First Quarter Each Year Since 1995
U.S.-Origin Itineraries, First Quarter to First Quarter
|
Percent Change to First Quarter 2007 |
Since... |
Duration in Years |
|
0.0 |
2006 |
1 |
|
10.3 |
2005 |
2 |
|
5.5 |
2004 |
3 |
|
6.1 |
2003 |
4 |
|
5.9 |
2002 |
5 |
|
|
|
|
|
-2.0 |
2001 |
6 |
|
7.9 |
2000 |
7 |
|
12.1 |
1999 |
8 |
|
9.6 |
1998 |
9 |
|
12.3 |
1997 |
10 |
|
|
|
|
|
16.0 |
1996 |
11 |
|
14.6 |
1995 |
12 |
Source: Bureau of Transportation Statistics
in the Air Travel Price Index (ATPI)
Since 1995
U.S.-Origin Itineraries First Quarter
to First Quarter (First Quarter 1995 = 100)
|
Year |
ATPI |
Percent Change from 1st Quarter Previous Year |
|
1995 |
100.0 |
|
|
1996 |
98.7 |
-1.3 |
|
1997 |
102.0 |
3.3 |
|
1998 |
104.6 |
2.5 |
|
1999 |
102.2 |
-2.3 |
|
|
|
|
|
2000 |
106.1 |
3.8 |
|
2001 |
116.9 |
10.2 |
|
2002 |
108.2 |
-7.5 |
|
2003 |
108.0 |
-0.2 |
|
2004 |
108.6 |
0.6 |
|
|
|
|
|
2005 |
103.9 |
-4.3 |
|
2006 |
114.6 |
10.3 |
|
2007 |
114.6 |
0.0 |
Source: Bureau of Transportation Statistics
Table 9: Top Five First Quarter Air Travel Price Index Increases and Decreases, 2006-2007
Top 85 Air Travel Markets
Air Travel Price Index Percent Change, First Quarter 2006 to First Quarter 2007
(First Quarter 1995 = 100)
|
Rank |
Origin |
First Quarter 2006 |
First Quarter 2007 |
Percent Change from 2006 |
|
|
Largest Increases |
|
|
|
|
1 |
Long Beach, CA |
133.2 |
149.9 |
12.6 |
|
2 |
Providence, RI |
100.0 |
108.3 |
8.3 |
|
3 |
Hartford, CT |
105.6 |
113.5 |
7.5 |
|
4 |
Miami, FL |
106.8 |
114.2 |
6.9 |
|
5 |
Cincinnati, OH |
130.2 |
138.7 |
6.5 |
|
|
|
|
|
|
|
|
ATPI for All U.S. Origins |
114.6 |
114.6 |
0.0 |
|
|
|
|
|
|
|
|
Largest Decreases |
|
|
|
|
1 |
Kona, HI |
191.1 |
144.9 |
-24.1 |
|
2 |
Lihue (Kauai), HI |
223.1 |
172.7 |
-22.6 |
|
3 |
Kahului (Maui), HI |
131.6 |
107.1 |
-18.6 |
|
4 |
Honolulu, HI |
151.9 |
130.9 |
-13.8 |
|
5 |
Columbus, OH |
123.7 |
112.4 |
-9.2 |
Source: Bureau of Transportation Statistics
Table 10: Top Five Air Travel Price Index Increases and Decreases (Smallest Increases), 1995-2007
Top 85 Air Travel Markets
Air Travel Price Index Percent Change, First Quarter 1995 to First Quarter 2007
(First Quarter 1995 = 100)
|
Rank |
Origin |
First Quarter 1995 |
First Quarter 2007 |
Percent Change from 1995 |
|
|
Largest Increases |
|
|
|
|
1 |
Lihue (Kauai), HI |
100.0 |
172.7 |
72.7 |
|
2 |
Burbank/Glendale/Pasadena, CA |
100.0 |
156.5 |
56.5 |
|
3 |
Anchorage, AK |
100.0 |
153.8 |
53.8 |
|
4 |
Long Beach, CA |
100.0 |
149.9 |
49.9 |
|
5 |
Kona, HI |
100.0 |
144.9 |
44.9 |
|
|
|
|
|
|
|
|
ATPI for All U.S. Origins |
100.0 |
114.6 |
14.6 |
|
|
|
|
|
|
|
|
Largest Decreases/Smallest Increases |
|
|
|
|
1 |
Manchester, NH |
100.0 |
91.0 |
-9.0 |
|
2 |
Denver, CO |
100.0 |
96.5 |
-3.5 |
|
3 |
Richmond, VA |
100.0 |
98.9 |
-1.1 |
|
4 |
Buffalo/Niagara, NY |
100.0 |
99.0 |
-1.0 |
|
5 |
Rochester, NY |
100.0 |
101.5 |
1.5 |
Source: Bureau of Transportation Statistics
For air fares for the following airports, go to http://www.bts.gov/xml/atpi/src/index.xml:
|
Alabama: . |
Birmingham |
|
Alaska: |
Anchorage |
|
Arizona |
Phoenix, Tucson |
|
Arkansas: |
Little Rock |
|
California: |
Burbank, Indio/Palm Springs, Long Beach, Los Angeles Intl, Oakland, Ontario/San Bernardino, Sacramento, San Diego, San Francisco, San Jose, Santa Ana (Orange County) |
|
Colorado |
Colorado Springs, Denver |
|
Connecticut |
Hartford |
|
District of Columbia |
Dulles, Reagan National |
|
Florida |
Ft. Lauderdale, Ft. Myers, Jacksonville, Miami, Orlando, Pensacola, Sarasota/Bradenton, Tampa, West Palm Beach |
|
Georgia |
Atlanta, Savannah |
|
Hawaii |
Honolulu, Kahului (Maui), Kona, Lihue (Kauai) |
|
Idaho |
Boise |
|
Illinois |
Chicago Midway, Chicago O'Hare |
|
Indiana |
Indianapolis |
|
Iowa |
Des Moines |
|
Kansas |
Wichita |
|
Kentucky |
Louisville |
|
Louisiana |
New Orleans |
|
Maine |
Portland |
|
Maryland |
Baltimore |
|
Massachusetts |
Boston |
|
Michigan |
Detroit, Grand Rapids |
|
Minnesota |
Minneapolis/St. Paul |
|
Mississippi |
Jackson/Vicksburg |
|
Missouri |
Kansas City, St. Louis |
|
Nebraska |
Omaha |
|
Nevada |
Las Vegas, Reno |
|
New Hampshire |
Manchester |
|
New Jersey |
Newark |
|
New Mexico |
Albuquerque |
|
New York |
Albany, Buffalo, Islip, New York JFK, New York LaGuardia, Rochester, Syracuse |
|
North Carolina |
Charlotte, Greensboro, Raleigh/Durham |
|
Ohio |
Akron/Canton, Cincinnati, Cleveland, Columbus, Dayton |
|
Oklahoma |
Oklahoma City, Tulsa |
|
Oregon |
Portland |
|
Pennsylvania |
Philadelphia, Pittsburgh |
|
Rhode Island |
Providence |
|
South Carolina |
Charleston, Greenville/Spartanburg |
|
Tennessee |
Knoxville, Memphis, Nashville |
|
Texas |
Austin, Dallas Love, Dallas/Ft. Worth, El Paso, Houston Bush, Houston Hobby, San Antonio |
|
Utah |
Salt Lake City |
|
Virginia |
Norfolk, Richmond |
|
Washington |
Seattle, Spokane |
|
Wisconsin |
Madison, Milwaukee |
|
Puerto Rico |
San Juan |
For the ATPI for the following markets, go to http://www.bts.gov/xml/atpi/src/index.xml:
Alabama:
Birmingham
Alaska: Anchorage
Arizona: Phoenix, Tucson
Arkansas: Little Rock
California: Burbank, Greater Los
Angeles, Long Beach, Los Angeles,
Oakland, Ontario, Sacramento, San Diego, San
Francisco, San Jose, Santa
Ana (Orange County)
Colorado: Colorado Springs, Denver
Connecticut: Hartford
District of Columbia: Washington, DC (Dulles and
Reagan National combined)
Florida: Ft. Lauderdale, Ft. Myers,
Jacksonville, Miami, Orlando, Tampa, West Palm Beach
Georgia: Atlanta, Savannah
Hawaii: Honolulu, Kahului (Maui),
Kona, Lihue (Kauai)
Idaho: Boise
Illinois: Chicago (Midway and O’Hare
combined)
Indiana: Indianapolis
Iowa: Des Moines
Kentucky: Louisville
Louisiana: New Orleans
Maryland: Baltimore
Massachusetts: Boston
Michigan: Detroit, Grand Rapids
Minnesota: Minneapolis/St. Paul
Missouri: Kansas City, St. Louis
Nebraska: Omaha
Nevada: Las Vegas, Reno
New Hampshire: Manchester
New Jersey: New York/Newark
New Mexico: Albuquerque
New York: Albany, Buffalo, Long Island,
New York/Newark, Rochester, Syracuse
North Carolina: Charlotte, Greensboro/High
Point, Raleigh/Durham
Ohio: Cincinnati, Cleveland,
Columbus, Dayton
Oklahoma: Oklahoma City, Tulsa
Oregon: Portland
Pennsylvania:
Philadelphia, Pittsburgh
Rhode Island:
Providence
South Carolina: Charleston
Tennessee: Memphis, Nashville
Texas: Austin, Dallas/Ft. Worth, El
Paso, Houston, San Antonio
Utah: Salt Lake City
Virginia: Norfolk, Richmond
Washington: Seattle, Spokane
Wisconsin: Milwaukee
Puerto Rico: San Juan
Brief Explanation of the ATPI
The ATPI is based on fares paid by travelers and draws its data from the BTS
Passenger Origin and Destination Survey. Through this survey, BTS collects
information from the airlines on a 10-percent sample of airline tickets. Each
ticket sold is assigned an identification number, and if this number ends in 0,
the ticket is in the sample.
The index measures the aggregate change in the cost of itineraries originating
in the United States, whether the destinations are domestic or international,
but only for U.S. carriers (excluding charter air travel). The ATPI is based on
the changes in the price of individual itineraries, that is, round trips or
one-way trips for which no return trip is purchased, and the relative value of
each itinerary, for the set of matched itineraries.
The index uses the first quarter of 1995 as the reference point (expressed as
the number 100) against which all subsequent quarterly prices are measured. ATPI
values below 100 represent overall “cost of flying” levels less than those in
the first quarter of 1995, while values above 100 represent cost of flying
levels that exceed those of the first quarter of 1995. ATPI levels can be used
to compute percentage changes in overall fare costs between any two quarters in
an ATPI series.
Unlike many other price index estimates, the ATPI is not based on a fixed
“market basket” of air travel services. Rather, all of the data from the
Passenger Origin and Destination (O&D) Survey are fed into the estimation system
each quarter, and this collection of itineraries varies from one quarter to the
next. New entry, including routes and carriers, will not be included in the ATPI
calculations until it has been present in the O&D Survey for two consecutive
quarters.
For price comparison purposes, itineraries flown in each quarter are “matched
up” with identical or very similar itineraries flown in other quarters. A price
index formula is then used to compute aggregate index estimates such as those
that appear in this release.
The fares reported in the O&D Survey include taxes, so the ATPI values reflect
changes in tax rates as well as changes in fares received by the airlines. The
ATPI values in this release are not adjusted for seasonality, so some movements
in the series are due to seasonal variations in airfares.
The ATPI differs from the Bureau of Labor Statistics’ (BLS) airfare index, a
component of the Consumer Price Index. The BLS index is based on fares
advertised through SABRE, a leading computerized airline ticket reservation
system, while the ATPI uses actual fares paid by travelers. Since a growing
number of tickets are purchased through the internet at discounted prices not
listed with SABRE, the ATPI does not show the same levels of increases as the
BLS index.