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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).

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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

 

Table 8: Year-to-Year Changes

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.



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