29
PASSENGERS 409 467 505 7.8 3 873 402 142 6.2 4 565 681 551 6.0 CARGO 7 241 405 8.9 67 101 696 17.6 80 605 478 17.1 MOVEMENTS 5 509 441 2.4 53 375 924 0.9 63 283 468 0.7 World passenger traffic maintains strong growth in October 2010 October 2010 results from 871 airports worldwide showed passenger traffic growing by 8 percent while cargo volume rose by 9 percent but still at a slower pace than in previous months. Movements rose by 2 percent. Cargo traffic continues to grow but at a weaker pace than preceding months ACI Statistics ([email protected]) OCTOBER 2010 STATS REGIONS MONTH % YOY YTD OCTOBER 2010 Produced by: % YOY YE OCTOBER 2010 % YOY EVOLUTION OF AIRPORT TRAFFIC WORLDWIDE -5 0 5 10 15 20 25 30 NOV 2009 DEC JAN 2010 FEB MAR APR MAY JUN JUL AUG SEP OCT % CHANGE FROM PREVIOUS YEAR Passengers Cargo Movements WORLDWIDE AIRPORT TRAFFI C STATISTICS AIRPORTS COUNCIL INTERNATIONAL RUN: 18 JANUARY 2011 www.aci.aero OCTOBER 2010

ACI OCT 2010 WORLD AIRPORTS STATISTICS

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Page 1: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS 409 467 505 7.8 3 873 402 142 6.2 4 565 681 551 6.0CARGO 7 241 405 8.9 67 101 696 17.6 80 605 478 17.1MOVEMENTS 5 509 441 2.4 53 375 924 0.9 63 283 468 0.7

World passenger traffic maintains strong growth in October 2010

October 2010 results from 871 airports worldwide showed passenger traffic growing by 8 percent while cargo volumerose by 9 percent but still at a slower pace than in previous months. Movements rose by 2 percent.

Cargo traffic continues to grow but at a weaker pace than preceding months

ACI Statistics ([email protected])

OCTOBER 2010STATS

REGIONSMONTH % YOY

YTD OCTOBER 2010

Produced by:

% YOYYE OCTOBER

2010% YOY

EVOLUTION OF AIRPORT TRAFFIC WORLDWIDE

-5

0

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DEC JAN2010

FEB MAR APR MAY JUN JUL AUG SEP OCT

% C

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Passengers Cargo Movements

WORLDWIDEA I R P O R T T R A F F I C

S T A T I S T I C SAIRPORTS COUNCIL

INTERNATIONAL

RUN: 18 JANUARY 2011 www.aci.aero

OCTOBER 2010

Page 2: ACI OCT 2010 WORLD AIRPORTS STATISTICS

Aircraft movements rose in all regions led by Africa (+5 percent), followed by Asia Pacific (+4 percent), Latin America-Caribbean (+3 percent), Europe and the Middle East (each +3 percent) and North America (+1 percent).

October 2010 results from 871 airports worldwide showed passenger traffic growing by 8 percent while cargovolume rose by 9 percent but still at a slower pace than in previous months. Movements rose by 2 percent.

October 2010 passenger traffic grew in all regions led by Asia/Pacific and the Middle East (each +10 percent), followed by Africa and Europe (each +9 percent), Latin America-Caribbean (+7 percent) and North Amercia (+5 percent).

MONTHLY WORLDWIDE AIRPORT TRAFFIC OCTOBER 2010

Cargo volume handled in October 2010 rose

in all regions led by Europe

(+15 percent), followed by Asia/Pacific

(+10 percent), Latin America-Caribbean (+8 percent), North America and Africa

(each +5 percent) and the Middle East

(+5 percent).

World passenger traffic maintains strong growth in October 2010Cargo traffic continues to grow but at a weaker pace than preceding months

120.7131.1

118.8125.0

95.3104.8

25.5 27.4

10.7 11.7 8.6 9.5

NAM EUR ASP LAC MEA AFR

TOTAL PASSENGERS(millions)

2009 2010

13941599

2042 2144

24512691

314 34093 98

353 368

NAM EUR ASP LAC MEA AFR

TOTAL CARGO(metric tonnes 000s)

2009 2010

1524 1568

2311 2338

855 890

431 445

173 182 85 87

NAM EUR ASP LAC MEA AFR

TOTAL MOVEMENTS(000s)

2009 2010

- 1 -

Page 3: ACI OCT 2010 WORLD AIRPORTS STATISTICS

AFR 11 704 297 9.3 106 058 014 9.3 126 048 895 8.5ASP 104 813 202 10.0 982 637 534 12.1 1 169 010 021 12.0EUR 131 099 131 8.6 1 208 524 519 4.2 1 398 653 603 3.9LAC 27 378 468 7.3 270 764 619 11.4 324 423 970 11.3MEA 9 480 574 9.7 93 060 135 12.3 110 324 635 12.1NAM 124 991 833 5.2 1 212 357 321 2.0 1 437 220 427 1.8ACI 409 467 505 7.8 3 873 402 142 6.2 4 565 681 551 6.0

AFR 97 727 4.7 960 888 9.7 1 153 138 8.1ASP 2 691 405 9.8 25 190 143 21.9 30 240 420 22.6EUR 1 599 204 14.7 14 279 671 19.4 17 116 492 17.5LAC 340 325 8.3 3 018 322 15.1 3 662 341 13.8MEA 368 406 4.5 3 545 940 14.8 4 263 534 15.2NAM 2 144 337 5.0 20 106 732 12.6 24 169 554 11.9ACI 7 241 405 8.9 67 101 696 17.6 80 605 478 17.1

AFR 181 827 5.2 1 688 628 4.0 2 007 458 3.2ASP 889 605 4.1 8 552 381 5.8 10 228 926 5.8EUR 1 567 743 2.9 14 887 972 (0.5) 17 433 377 (0.7)LAC 444 966 3.3 4 495 719 6.4 5 381 732 6.0MEA 86 945 2.5 851 833 6.7 1 020 655 7.0NAM 2 338 355 1.2 22 899 391 (1.4) 27 211 320 (1.6)ACI 5 509 441 2.4 53 375 924 0.9 63 283 468 0.7

Passengers total passengers enplaned and deplaned, passengers in transit counted once.Cargo loaded and unloaded freight and mail in metric tonnes.Movements landing or take-off of an aircraft.The Airport Traffic Report Summary is a comparison of airports with complete data series for the 12-month period under review. Number of participating airports by region included in this summary:

AFR: 110; ASP: 115; EUR: 299; LAC: 158; MEA: 13; NAM: 176; : 871

CARGO

MOVEMENTS

OCT 2010

PASSENGERS

STATS REGIONS

MONTH % YOY YTD OCT 2010 % YOY YE OCT 2010 % YOY

WORLDWIDE AIRPORT TRAFFIC REPORT SUMMARY

18.01.2011 - 2 -

Page 4: ACI OCT 2010 WORLD AIRPORTS STATISTICS

EVOLUTION OF AIRPORT TRAFFIC WORLDWIDE

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DEC JAN2010

FEB MAR APR MAY JUN JUL AUG SEP OCT

% C

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Passengers Cargo Movements

Page 5: ACI OCT 2010 WORLD AIRPORTS STATISTICS

TOTAL PASSENGER REGIONAL TRENDS

-15

-10

-5

0

5

10

15

20

25

NOV2009

DEC JAN2010

FEB MAR APR MAY JUN JUL AUG SEP OCT

% C

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AFR ASP EUR LAC MEA NAM

18.01.2011- 4 - Source: ACI monthly traffic statistics collection

Page 6: ACI OCT 2010 WORLD AIRPORTS STATISTICS

TOTAL CARGO REGIONAL TRENDS

-10

0

10

20

30

40

50

NOV2009

DEC JAN2010

FEB MAR APR MAY JUN JUL AUG SEP OCT

% C

HA

NG

E F

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US

YE

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AFR ASP EUR LAC MEA NAM

18.01.2011 - 5 - Source: ACI monthly traffic statistics collection

Page 7: ACI OCT 2010 WORLD AIRPORTS STATISTICS

TOTAL MOVEMENTS REGIONAL TRENDS

-15

-10

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0

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NOV2009

DEC JAN2010

FEB MAR APR MAY JUN JUL AUG SEP OCT

% C

HA

NG

E F

RO

M P

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YE

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AFR ASP EUR LAC MEA NAM

18.01.2011- 6 - Source: ACI monthly traffic statistics collection

Page 8: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

AFR ABIDJAN, CI ABJ 84 929 (4.3) 1 187 41.0 2 212 8.0 796 821 0.8 9 829 15.8 18 756 (2.4) 966 618 1.6 11 774 12.2 22 649 (3.1)AFR ABUJA, NG ABV 355 053 20.7 451 (24.5) 5 318 12.8AFR ACCRA, GH ACC 140 754 16.1 3 895 15.0 2 807 63.6 1 346 755 16.8 38 615 0.8 24 565 47.8 1 601 636 16.3 45 992 (5.1) 28 196 40.4AFR AGADIR, MA AGA 150 842 24.1 46 17.9 1 507 9.4 1 384 393 12.7 504 (16.0) 13 550 2.2 1 602 201 10.7 589 (14.3) 15 965 2.3AFR AL HOCEIMA, MA AHU 324 (9.0) ***** ***** 55 (23.6) 19 461 n.a. ***** ***** 1 432 34.6 19 944 n.a. ***** ***** 1 579 42.8AFR ALEXANDRIA, EG ALY 71 663 (1.7) ***** ***** 1 732 11.0 825 007 (16.4) ***** ***** 15 981 (5.2) 936 356 (17.4) ***** ***** 18 527 (5.4)AFR ALGIERS, DZ ALG 350 074 (7.5) 1 792 27.9 5 131 (0.3)AFR ANTANANARIVO, MG TNR 77 401 18.5 1 241 18.5 1 445 7.0 619 983 27.1 10 273 7.9 12 706 15.5 743 399 17.7 12 939 4.0 15 283 11.4AFR ARUSHA, TZ ARK 16 050 31.9 119 56.7 1 950 21.4 131 934 30.5 737 4.5 16 306 18.9 153 490 26.0 790 4.0 19 028 15.6AFR ASMARA, ER ASM 9 287 15.6 169 4.5 277 13.1 103 842 22.1 1 806 21.1 2 424 12.6 120 239 13.1 2 115 20.2 3 051 8.6AFR ASSIUT, EG ATZ 24 317 (2.5) ***** ***** 345 4.9 267 561 27.8 ***** ***** 3 682 32.6 315 298 10.5 ***** ***** 4 336 15.5AFR ASWAN, EG ASW 105 068 13.8 ***** ***** 1 347 11.4 757 454 10.9 ***** ***** 10 462 11.8 938 208 7.3 ***** ***** 12 968 9.4AFR BANGUI, CF BGF 9 812 23.6 133 (8.0) 537 19.6 87 453 5.1 1 329 1.7 5 194 11.2 104 965 4.3 1 586 (9.4) 6 123 9.4AFR BANJUL, GM BJL 18 261 15.3 100 183.9 359 28.2 248 859 7.8 1 009 (7.5) 3 165 4.0 331 263 10.0 1 165 (8.2) 3 986 4.8AFR BEIRA, MZ BEW 17 149 18.7 75 (1.9) 642 (27.3) 149 944 (3.0) 687 (3.7) 5 829 (10.0) 181 378 (3.5) 829 (6.7) 7 035 (8.3)AFR BEJAIA, DZ BJA 17 708 (5.7) 6 (38.3) 260 (1.9) 183 578 (4.9) 90 (7.7) 2 640 (2.6) 215 011 (3.5) 106 (9.1) 3 132 (1.3)AFR BLOEMFONTEIN, ZA BFN 40 499 3.5 37 (33.9) 1 558 (17.6) 340 332 1.2 467 (7.7) 15 964 (21.7) 404 182 0.9 556 (16.3) 18 810 (22.2)AFR BOA VISTA, CV BVC 20 192 18.6 23 8.1 319 23.6 238 219 24.9 239 20.2 3 202 10.0 280 863 24.6 297 20.6 3 746 10.2AFR BORG EL ARAB, EG HBE 56 252 6.5 ***** ***** 689 32.2 597 288 n.a. ***** ***** 6 070 n.a. 713 737 n.a. ***** ***** 7 206 n.a.AFR BUFFALO RANGE, ZW BFO 141 (39.5) ***** ***** 46 (34.3) 1 628 8.3 ***** ***** 670 7.2 1 883 7.4 ***** ***** 774 3.6AFR BUJUMBURA, BI BJM 18 719 13.5 265 40.7 559 2.4 168 744 19.6 3 058 31.8 5 220 12.6 205 873 25.0 3 513 24.5 6 223 14.9AFR CAIRO, EG CAI 1 352 974 8.8 25 426 10.5 13 521 10.4 13 384 810 12.4 254 260 9.0 127 103 8.4 15 859 303 11.8 306 820 7.9 152 170 8.2AFR CAPE TOWN, ZA CPT 713 713 2.6 ***** ***** 7 854 (2.0) 6 629 937 5.3 ***** ***** 78 229 1.5 8 056 019 4.8 ***** ***** 94 375 0.9AFR CASABLANCA, MA CMN 628 717 12.0 3 939 (6.9) 6 873 5.0 6 051 706 14.8 41 204 (9.6) 66 657 11.6 7 173 094 14.4 49 439 (9.1) 79 677 11.9AFR COTONOU, BJ COO 37 012 2.4 590 (20.8) 1 006 15.4 332 005 4.1 4 784 (25.9) 9 501 11.1 403 055 6.0 6 433 (21.2) 11 159 7.8AFR DAKHLA, MA VIL 5 182 31.5 1 § 117 (39.7) 48 376 42.8 9 (7.2) 1 130 (3.4) 55 681 39.8 10 (24.7) 1 290 (12.2)AFR DAR ES SALAAM, TZ DAR 139 542 7.5 2 480 56.7 6 436 17.2 1 270 409 8.7 15 598 (0.1) 51 736 7.3 1 524 452 7.8 18 826 (1.6) 61 314 5.0AFR DJERBA, TN DJE 274 564 11.1 ***** ***** 2 437 5.5 2 259 254 2.4 ***** ***** 20 804 (0.9) 2 476 378 1.7 ***** ***** 23 280 (1.6)AFR DJIBOUTI, DJ JIB 22 099 7.3 778 25.3 698 25.3 208 749 (4.6) 9 375 32.4 5 824 8.7 248 742 (10.0) 10 364 21.3 7 033 7.7AFR DOUALA, CM DLA 54 045 (4.1) 714 (42.6) 1 230 (12.8) 560 770 (4.4) 9 424 (25.6) 12 745 (4.7) 679 062 (4.2) 12 774 (17.4) 15 307 (4.6)AFR DURBAN, ZA DUR 429 150 12.3 446 § 4 650 (0.0) 3 899 245 10.1 ***** ***** 46 208 5.9 4 667 739 9.6 ***** ***** 54 964 5.2AFR EAST LONDON, ZA ELS 62 027 4.7 196 46.3 3 353 29.1 555 450 (1.6) 1 943 (0.6) 36 794 18.9 667 706 (2.1) 2 378 1.1 42 810 20.9AFR ELDORET, KE EDL 7 074 15.8 609 11.6 396 34.7 69 074 3.3 6 068 4.0 3 589 14.9 82 904 3.2 7 486 6.6 4 208 10.3AFR ENFIDHA, TN NBE 49 030 n.a. ***** ***** 424 n.a.AFR ERRACHIDIA, MA ERH 1 478 (1.1) ***** ***** 73 § 6 876 (3.4) ***** ***** 529 (18.0) 8 431 (0.8) ***** ***** 915 24.2AFR ESSAOUIRA, MA ESU 2 805 18.3 ***** ***** 108 (34.1) 25 001 3.6 ***** ***** 1 221 16.0 28 575 8.1 ***** ***** 1 383 13.0AFR FEZ, MA FEZ 67 162 44.7 28 10.0 777 5.1 592 915 40.4 237 (37.5) 7 377 13.9 697 776 39.9 293 (34.9) 8 884 17.4AFR FRANCISTOWN, BW FRW 4 605 (3.7) ***** ***** 346 (3.4) 49 206 17.9 ***** ***** 3 523 (0.5) 58 816 19.3 ***** ***** 4 166 0.6AFR GABES, TN GAE 1 261 10.5 ***** ***** 36 (5.3) 10 866 2.6 ***** ***** 418 4.2 12 507 (6.2) ***** ***** 504 2.2AFR GABORONE, BW GBE 45 426 27.2 ***** ***** 1 680 21.1 335 907 3.9 ***** ***** 14 298 2.4 399 055 3.4 ***** ***** 16 953 3.5AFR GAFSA, TN GAF 974 4.8 1 n.a. 80 48.1 8 204 15.7 ***** ***** 398 (7.9) 10 046 19.2 ***** ***** 487 (4.5)AFR GAROUA, CM GOU 4 001 140.0 2 n.a. 88 § 29 882 34.1 ***** ***** 3 203 23.5 40 174 24.4 ***** ***** 3 631 14.5AFR GEORGE, ZA GRJ 48 380 1.1 ***** ***** 2 347 73.9 425 248 (5.5) ***** ***** 18 707 13.9 523 798 (5.9) ***** ***** 21 565 12.1AFR GHANZI, BW GNZ 47 4.4 ***** ***** 31 40.9 489 n.a. ***** ***** 288 n.a. 678 n.a. ***** ***** 362 n.a.AFR GHARDAIA, DZ GHA 3 108 (26.9) 38 § 209 (10.3) 38 318 2.2 103 140.8 2 030 (3.1) 48 451 5.9 119 148.5 2 482 (4.4)AFR HARARE, ZW HRE 69 782 22.2 2 772 45.1 1 752 18.0 602 482 23.3 20 563 25.2 14 936 11.7 726 213 22.0 24 299 18.3 17 512 9.1AFR HARARE, ZW HRP 243 (17.1) ***** ***** 1 173 (24.2) 1 269 (36.1) ***** ***** 11 489 4.8 1 463 (35.3) ***** ***** 13 200 0.4AFR HASSI-MESSAOUD, DZ HME 34 073 (6.7) 238 1.4 1 984 (0.7) 376 222 (1.0) 2 368 12.3 20 003 1.7 450 811 (1.5) 2 965 11.0 24 173 1.8AFR HURGHADA, EG HRG 851 162 13.0 ***** ***** 5 798 11.4 6 550 262 19.8 ***** ***** 45 853 17.0 7 811 668 18.7 ***** ***** 54 650 15.0AFR ILHA DO SAL, CV SID 44 523 12.1 93 (21.2) 925 8.6 499 417 6.8 1 053 (0.3) 9 177 (0.0) 593 705 2.4 1 313 (5.4) 10 966 (2.6)

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

- 7 - Notes/definitions on page 25

Page 9: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

AFR JOHANNESBURG, ZA JNB 1 699 372 7.6 28 359 12.2 18 437 2.1 15 328 549 5.3 266 440 31.2 175 608 4.3 18 379 189 4.6 315 437 26.0 209 698 3.4AFR KANO, NG KAN 37 040 21.9 167 (48.7) 615 6.0 316 230 17.3 2 256 14.3 5 675 18.4 390 649 11.7 2 666 25.3 7 012 17.9AFR KARIBA, ZW KAB 355 95.1 ***** ***** 234 98.3 2 002 91.9 ***** ***** 1 320 83.6 2 094 83.4 ***** ***** 1 411 77.5AFR KASANE, BW BBK 7 531 23.0 ***** ***** 1 302 28.3 64 678 29.9 ***** ***** 11 151 19.6 73 748 27.9 ***** ***** 12 652 13.8AFR KEETMANSHOOP, NA KMP 210 8.8 ***** ***** 78 (4.9) 1 491 (6.2) ***** ***** 625 (9.7) 1 696 (4.2) ***** ***** 733 (3.6)AFR KIGALI, RW KGL 28 163 36.9 724 1.4 1 124 8.7 248 476 2.3 5 120 (9.6) 11 764 13.6 294 518 1.4 6 179 (17.2) 13 535 11.9AFR KILIMANJARO, TZ JRO 44 996 5.3 258 33.0 1 646 10.8 389 500 8.7 2 549 (10.4) 13 666 6.5 458 224 6.9 3 077 (12.9) 16 077 5.8AFR KIMBERLEY, ZA KIM 12 820 3.1 17 (13.8) 1 182 12.9 112 265 1.5 172 28.2 10 240 (0.6) 132 274 0.5 205 25.7 12 031 (0.4)AFR LAAYOUNE, MA EUN 7 940 (13.2) 41 (43.3) 308 (34.3) 78 357 (3.7) 356 (29.6) 3 135 (10.0) 96 190 (4.1) 431 (28.9) 3 832 (10.2)AFR LAGOS, NG LOS 529 258 (8.2) 12 328 (20.2) 8 216 5.2 5 110 898 10.3 143 586 (2.6) 79 616 16.4 6 132 118 8.6 171 971 0.0 94 360 12.2AFR LIBREVILLE, GA LBV 63 293 4.9 1 823 11.2 2 265 (4.9) 632 132 5.8 17 008 1.3 24 020 (6.4) 755 906 5.2 20 389 (0.4) 29 263 (5.1)AFR LICHINGA, MZ VXC 2 466 17.3 36 (30.6) 116 11.5 23 283 (9.9) 291 (28.1) 907 3.2 27 938 (8.2) 363 (39.5) 1 101 2.2AFR LILONGWE, MW LLW 25 878 2.4 409 (13.8) 714 (7.0) 230 372 (7.7) 3 907 10.1 6 802 (9.4) 277 271 (7.4) 4 533 5.6 8 144 (11.3)AFR LIVINGSTONE, ZM LVI 18 435 12.2 ***** ***** 879 25.6 154 457 19.0 ***** ***** 7 588 29.4 179 268 13.6 ***** ***** 8 607 20.1AFR LOME, TG LFW 44 355 124.8 495 (36.9) 488 74.3 297 085 47.0 7 897 (6.3) 4 018 51.3 336 068 36.1 9 867 (13.5) 4 511 39.1AFR LUDERITZ, NA LUD 224 § ***** ***** 117 (49.6) 6 866 (13.4) ***** ***** 1 648 (16.6) 8 458 (15.1) ***** ***** 2 014 (18.9)AFR LUSAKA, ZM LUN 65 162 11.2 442 20.6 3 447 (3.9) 592 294 7.5 3 684 (10.1) 32 122 (7.9) 704 780 3.4 4 587 (9.1) 37 829 (7.1)AFR LUXOR, EG LXR 191 649 10.6 ***** ***** 2 265 3.0 1 544 764 3.5 ***** ***** 19 266 1.9 1 900 201 1.2 ***** ***** 23 793 1.3AFR MAHAJANGA, MG MJN 5 137 15.1 1 § 325 9.8 45 259 19.5 ***** ***** 2 805 8.7 54 120 11.2 ***** ***** 3 335 3.2AFR MAIO, CV MMO 1 440 62.9 3 40.0 46 43.8 13 235 11.8 18 (10.2) 342 10.3 15 100 6.8 20 (17.0) 400 9.3AFR MAPUTO, MZ MPM 65 045 18.4 578 (14.2) 1 487 63.0 602 021 9.9 5 691 (5.8) 15 289 11.9 722 981 9.3 7 023 (6.6) 18 430 11.9AFR MAROUA, CM MVR 1 872 (12.0) 1 n.a. 58 0.0 19 571 23.7 14 n.a. 494 (1.0) 25 504 39.0 ***** ***** 673 2.6AFR MARRAKECH, MA RAK 358 560 24.0 166 154.2 3 399 18.1 2 860 909 15.4 941 (24.8) 28 057 14.2 3 362 994 13.8 1 121 (26.5) 33 474 13.7AFR MAUN, BW MUB 13 095 (45.6) ***** ***** 3 065 § 182 976 (22.8) ***** ***** 35 666 (42.7) 217 822 (23.5) ***** ***** 43 403 (41.1)AFR MFUWE, ZM MFU 2 620 2.1 2 36.4 440 (17.8) 18 672 (1.5) ***** ***** 2 959 (18.6) 20 725 (4.2) ***** ***** 3 311 (21.2)AFR MOMBASA, KE MBA 109 903 15.4 832 § 2 377 32.7 1 009 491 13.7 6 321 16.6 19 989 16.2 1 235 487 14.2 7 374 7.7 24 118 15.9AFR MONASTIR, TN MIR 377 317 (3.5) 66 (16.8) 2 960 (3.6) 3 226 387 (10.5) 456 (10.1) 25 354 (10.3) 3 452 311 (10.2) 520 (8.5) 27 473 (10.3)AFR MORONI, KM HAH 14 893 4.0 49 94.8 550 6.2 148 052 22.2 544 (1.2) 5 124 35.6 174 604 20.8 664 3.4 6 178 36.2AFR MWANZA, TZ MWZ 18 747 (10.3) 253 36.5 1 251 (3.2) 186 344 3.0 2 003 13.6 11 634 (2.4) 229 561 6.1 2 534 16.6 14 149 2.0AFR NADOR, MA NDR 40 215 65.5 ***** ***** 366 23.6 364 567 40.9 ***** ***** 3 651 6.0 413 267 39.2 ***** ***** 4 227 8.4AFR NAIROBI, KE NBO 496 363 10.6 21 724 (9.6) 7 741 9.2 4 512 856 8.2 190 446 (13.7) 71 661 8.9 5 419 666 7.9 232 915 (13.4) 86 033 8.4AFR NAMPULA, MZ APL 12 547 25.0 80 13.9 353 15.7 113 549 0.8 702 (4.6) 3 238 20.0 140 089 2.6 861 (4.0) 3 891 22.9AFR NDOLA, ZM NLA 15 852 37.3 35 (38.4) 896 18.4 131 353 42.4 ***** ***** 7 241 (3.7) 155 397 29.8 ***** ***** 8 570 (8.8)AFR NELSPRUIT, ZA MQP 22 592 4.7 7 (3.5) 1 360 (4.4) 198 984 14.7 88 4.2 14 516 8.8 234 240 11.8 109 4.2 17 096 7.8AFR NGAOUNDÉRÉ, CM NGE 7 § ***** ***** 2 (33.3) 513 118.3 ***** ***** 145 36.8 539 (24.1) ***** ***** 175 5.4AFR NIAMEY, NE NIM 14 744 9.3 233 7.9 502 (14.6) 116 432 3.0 2 458 (13.8) 5 261 16.0 157 816 18.1 3 037 (11.8) 6 371 n.a.AFR NIAMTOUGOU, TG LRL 92 130.0 ***** ***** 36 § 1 928 n.a. ***** ***** 278 13.5 2 389 n.a. ***** ***** 320 11.5AFR ONDANGWA, NA OND 2 249 3.4 ***** ***** 258 (11.6) 19 460 (3.1) ***** ***** 2 588 (14.0) 23 068 (3.9) ***** ***** 3 088 (15.0)AFR OUARZAZATE, MA OZZ 8 772 12.7 1 129.5 351 39.3 62 092 (7.7) 25 6.0 2 118 (11.4) 76 587 (8.6) 27 (5.2) 2 809 (1.4)AFR OUJDA, MA OUD 29 796 0.2 81 104.7 361 (4.0) 388 415 14.4 344 40.7 4 884 7.8 449 168 15.0 374 10.4 5 643 9.4AFR PEMBA, MZ POL 9 058 48.0 60 (21.9) 578 0.5 80 218 27.8 575 (15.3) 5 127 22.2 96 572 25.6 724 (15.8) 6 195 22.1AFR PLAINE MAGNIEN, MU MRU 228 134 9.4 ***** ***** 1 720 11.3 2 083 131 8.9 ***** ***** 15 894 6.6 2 551 291 7.6 ***** ***** 19 234 5.1AFR PORT ELIZABETH, ZA PLZ 124 617 3.9 496 (27.4) 6 420 16.1 1 164 776 3.8 6 454 35.8 63 794 (1.1) 1 400 214 3.0 7 506 25.6 76 142 0.5AFR PORT HARCOURT, NG PHC 102 452 7.5 ***** ***** 1 848 (6.8) 978 823 13.4 ***** ***** 17 268 (4.7) 1 196 118 16.6 ***** ***** 21 307 (12.6)AFR PRAIA, CV RAI 37 008 10.4 139 (8.4) 871 15.7 417 053 4.7 1 395 8.7 8 463 4.0 489 582 2.4 1 719 8.8 9 934 1.7AFR RABAT, MA RBA 31 733 21.2 43 § 600 3.8 291 441 1.5 1 434 43.9 5 579 (2.3) 357 067 1.5 1 506 18.2 6 669 (3.3)AFR SAINT-DENIS, RE RUN 184 722 14.9 2 955 (3.4) 3 719 14.1 1 605 495 12.6 27 165 4.8 31 331 8.3 1 930 142 12.6 34 390 6.2 37 946 7.8AFR SAO FELIPE, CV SFL 5 004 24.8 6 (10.8) 182 51.7 55 352 18.9 61 9.5 1 813 38.1 64 282 16.2 74 6.2 2 065 33.6AFR SAO NICOLAU, CV SNE 1 515 11.9 5 73.1 42 5.0 22 266 25.0 35 31.3 530 (1.5) 25 630 23.0 42 23.6 636 2.7AFR SAO VICENTE, CV VXE 13 571 10.0 55 38.9 346 (2.0) 158 653 7.5 469 24.1 3 804 (1.5) 186 367 5.1 565 18.7 4 554 (3.3)

- 8 - Notes/definitions on page 25

Page 10: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

AFR SELEBI PHIKWE, BW PKW 304 44.8 ***** ***** 42 (31.1) 2 631 4.0 ***** ***** 467 (16.3) 3 131 10.9 ***** ***** 563 (12.0)AFR SFAX, TN SFA 9 127 21.9 7 99.4 610 (0.8) 85 817 15.8 45 (13.4) 6 226 3.4 100 234 11.5 55 (13.2) 7 443 2.7AFR SHARM EL SHEIKH, EG SSH 856 230 15.1 ***** ***** 6 269 14.7 7 129 434 18.4 ***** ***** 52 322 14.9 8 527 763 16.3 ***** ***** 62 983 13.4AFR TABARKA, TN TBJ 1 515 108.7 ***** ***** 76 58.3 62 744 (1.5) ***** ***** 1 183 4.0 63 516 (1.8) ***** ***** 1 276 3.2AFR TAMANRASSET, DZ TMR 5 934 (3.6) 15 23.7 281 10.2 52 890 (2.2) ***** ***** 2 168 4.8 67 995 1.7 ***** ***** 2 641 3.0AFR TAN TAN, MA TTA 724 56.0 ***** ***** 66 106.3 5 301 n.a. ***** ***** 625 51.0 6 587 n.a. ***** ***** 711 28.3AFR TANGER, MA TNG 63 301 18.7 29 (33.9) 819 (7.5) 639 405 19.2 916 49.2 9 088 7.8 749 169 20.5 1 020 52.8 10 715 10.9AFR TETOUAN, MA TTU ***** ***** ***** ***** 37 (21.3) ***** ***** ***** ***** 1 369 56.8 ***** ***** ***** ***** 1 426 58.3AFR TOAMASINA, MG TMM 7 464 14.9 6 50.0 384 29.3 63 479 22.8 39 (4.9) 2 847 16.0 77 188 18.0 49 (16.9) 3 364 9.4AFR TOZEUR, TN TOE 10 212 (5.2) ***** ***** 318 (24.1) 81 730 14.9 ***** ***** 2 329 1.1 106 503 14.9 ***** ***** 3 086 9.5AFR TUNIS, TN TUN 404 145 15.5 2 007 2.0 5 372 8.4 3 925 160 8.0 18 260 8.3 52 646 7.6 4 548 420 7.6 22 041 12.5 61 660 6.3AFR UPINGTON, ZA UTN 4 940 15.4 4 (20.0) 668 2.5 33 322 (5.2) 366 § 5 503 (3.0) 40 677 (3.5) 411 (47.9) 6 542 0.0AFR VILANKULOS, MZ VNX 6 947 26.4 ***** ***** 856 10.9 51 254 2.2 ***** ***** 6 369 2.1 62 069 1.6 ***** ***** 7 809 0.7AFR WALVIS BAY, NA WVB 7 543 (4.3) 2 § 338 (30.2) 71 660 (4.4) 6 (48.7) 3 426 (8.8) 87 414 (3.7) 8 § 4 156 (10.4)AFR WINDHOEK, NA ERS 5 613 (15.1) 77 1.8 2 640 (6.3) 53 792 (3.7) 749 (4.7) 23 610 (8.2) 63 808 (4.9) 889 (5.2) 27 834 (9.3)AFR WINDHOEK, NA WDH 66 870 3.4 584 17.5 1 406 (1.1) 573 346 0.6 6 383 19.7 12 573 (4.4) 684 731 0.3 7 414 12.6 15 007 (4.6)AFR YAOUNDÉ, CM NSI 19 309 16.8 295 25.2 374 (9.4) 195 904 14.2 2 795 5.2 3 621 6.1 233 330 14.6 3 322 3.5 4 543 8.3AFR ZANZIBAR, TZ ZNZ 54 642 17.9 57 35.7 3 693 17.6 506 755 8.7 482 (11.9) 31 478 9.8 616 266 6.3 608 (22.7) 37 433 6.7

ASP ADELAIDE, AU ADL 669 619 7.5 ***** ***** 8 435 2.1 6 135 085 5.6 ***** ***** 82 443 1.3 7 310 167 4.9 ***** ***** 98 476 0.1ASP AHMEDABAD, IN AMD 297 410 (1.0) 3 004 50.6 3 265 4.7 2 972 151 9.2 24 145 35.1 31 743 (1.1) 3 632 963 12.8 28 124 28.3 38 245 (0.1)ASP ALOR SETAR, MY AOR 33 450 (14.9) 10 42.9 2 276 (2.6) 339 363 0.1 76 17.5 19 886 4.8 421 589 4.8 90 15.9 24 650 9.7ASP AMRITSAR, IN ATQ 62 400 (11.3) 621 § 773 5.7 614 851 23.3 4 591 118.0 7 299 (6.9) 745 772 23.9 5 107 112.4 8 706 (3.2)ASP APIA, WS APW 25 627 (0.6) ***** ***** 378 (37.1) 256 005 (4.3) ***** ***** 4 026 (45.7) 310 360 (5.1) ***** ***** 4 802 (47.0)ASP AUCKLAND, NZ AKL 1 175 935 3.4 ***** ***** 13 283 1.1 11 289 092 4.6 ***** ***** 129 209 0.9 13 710 193 4.3 ***** ***** 155 588 0.4ASP BANDA ACEH, ID BTJ 61 726 14.4 274 46.5 613 24.1ASP BANGALORE, IN BLR 995 318 18.5 19 293 30.6 9 786 12.2 9 176 006 20.3 177 186 33.9 91 765 9.2 10 985 160 21.9 207 734 32.7 109 852 9.5ASP BANGKOK, TH BKK 3 730 460 1.7 114 978 14.3 23 170 3.8 34 745 583 6.3 1 079 930 29.0 221 276 4.3 42 558 988 13.0 1 287 865 31.4 266 919 8.1ASP BANGKOK, TH DMK 281 608 52.5 633 55.1 5 937 15.7 2 455 139 19.4 5 946 (35.3) 56 981 9.4 2 865 818 9.0 6 992 (48.5) 67 608 10.6ASP BAOSHAN, CN BSD 12 133 24.8 18 § 138 19.0 128 782 11.2 211 § 1 406 (2.8) 149 176 (8.0) 301 § 1 640 (14.8)ASP BEIJING, CN PEK 6 742 951 11.8 136 121 2.2 44 742 6.6 62 029 005 13.7 1 264 138 6.0 431 214 6.2 72 864 686 13.3 1 546 674 9.8 513 583 6.2ASP BINTULU, MY BTU 45 207 13.4 139 (16.3) 1 437 § 450 607 16.7 1 576 (13.9) 27 765 (29.6) 551 390 17.7 1 957 (12.9) 36 157 (18.6)ASP BRISBANE, AU BNE 1 819 630 5.4 ***** ***** 16 180 6.2 16 428 744 4.0 ***** ***** 153 110 4.6 19 692 789 3.3 ***** ***** 181 926 2.7ASP BUSAN, KR PUS 780 790 25.6 5 623 10.1 5 949 4.5 6 821 750 19.7 49 975 8.3 55 773 1.5 7 994 910 19.0 60 204 8.4 67 098 2.6ASP CAIRNS, AU CNS 373 695 10.4 ***** ***** 7 462 1.8 3 215 422 5.4 ***** ***** 68 822 (2.3) 3 803 480 2.8 ***** ***** 82 100 (4.2)ASP CALCUTTA, IN CCU 903 376 29.5 11 635 18.8 8 240 10.2 7 510 844 21.2 104 391 24.4 76 871 10.2 8 992 850 21.8 122 582 22.8 91 896 10.3ASP CALICUT, IN CCJ 163 062 (0.9) 1 755 44.0 1 449 (9.2) 1 675 589 11.5 18 536 42.0 14 253 (6.4) 1 980 165 9.9 20 969 39.6 17 212 (7.5)ASP CHENGDU, CN CTU 2 401 741 5.6 37 999 10.3 18 508 4.7 21 756 624 15.1 353 203 16.3 172 534 9.2 25 484 962 16.9 426 780 18.4 204 603 10.9ASP CHIANG MAI, TH CNX 269 597 (3.3) 1 715 3.4 2 671 0.6 2 516 315 3.8 17 195 18.2 27 581 9.7 3 173 877 9.1 20 697 18.7 33 958 11.8ASP CHIANG RAI, TH CEI 60 656 (8.8) 251 27.4 444 (31.5) 572 035 (0.0) 2 273 14.9 5 233 (13.3) 718 403 7.8 2 680 16.0 6 798 (2.0)ASP CHRISTCHURCH, NZ CHC 508 894 0.8 1 713 10.4 10 605 (10.1) 4 965 165 2.0 17 584 1.0 104 794 (7.2) 6 005 371 2.0 21 553 1.1 126 122 (7.2)ASP COCHIN, IN COK 335 095 10.5 3 265 (6.2) 3 484 (2.4) 3 439 136 14.1 35 306 4.6 34 169 0.4 4 132 994 15.5 41 960 7.0 41 343 1.1ASP COLOMBO, LK CMB 430 893 18.3 14 205 21.4 3 487 16.5 4 291 400 24.8 140 279 26.3 33 253 5.8 5 094 885 22.3 170 291 28.3 39 479 3.6ASP DALI, CN DLU 19 118 3.5 37 29.4 216 2.4 196 654 9.8 395 34.2 2 418 6.1 228 218 3.0 462 24.5 2 823 (0.8)ASP DEHONG, CN LUM 51 248 64.7 41 § 358 18.5 373 478 18.6 2 779 15.0 3 782 14.1 438 815 11.3 3 250 7.9 4 336 6.0ASP DENPASAR BALI, ID DPS 658 246 6.9 5 249 0.4 6 943 3.3 6 111 424 6.5 45 972 6.6 62 741 35.0 7 067 865 4.0 54 412 3.7 76 425 30.5ASP DIQING, CN DIG 33 803 35.0 79 2.9 442 24.9 224 409 21.1 732 24.2 2 974 15.0 250 015 21.0 838 22.9 3 292 14.2ASP DUNEDIN, NZ DUD 65 993 3.0 ***** ***** 2 068 12.3 669 330 7.3 ***** ***** 19 174 (12.1) 795 080 5.7 ***** ***** 22 574 (14.4)ASP FUKUOKA, JP FUK 1 449 240 3.6 21 634 (0.6) 11 526 (1.7) 13 728 833 3.8 209 588 4.4 114 614 1.7 16 418 063 2.3 256 325 1.6 137 232 1.3ASP GOA, IN GOI 244 617 16.5 494 41.5 2 046 (0.2) 2 277 622 14.2 4 695 39.7 19 508 (5.5) 2 806 213 15.4 5 582 33.1 23 940 (4.5)ASP GOLD COAST, AU OOL 488 669 6.8 ***** ***** 5 804 (11.8) 4 539 477 10.2 ***** ***** 61 126 (3.3) 5 389 715 9.6 ***** ***** 75 250 (0.1)

- 9 - Notes/definitions on page 25

Page 11: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

ASP GUANGZHOU, CN CAN 3 560 801 4.3 99 582 13.2 27 560 0.3 34 355 906 12.3 943 938 23.1 275 476 7.7 40 823 665 12.7 1 132 347 29.9 328 571 8.7ASP GUWAHATI, IN GAU 182 184 28.7 685 40.7 2 750 10.5 1 495 005 20.6 7 200 109.4 25 343 (5.4) 1 782 179 19.2 8 247 119.7 30 594 (5.2)ASP HANGZHOU, CN HGH 1 605 595 11.4 26 304 24.3 12 729 5.5 14 516 232 16.1 230 951 28.4 123 705 10.8 16 944 931 15.5 277 349 28.6 146 209 11.1ASP HAT YAI, TH HDY 150 708 11.8 1 081 4.2 1 814 5.3 1 236 350 7.9 11 311 17.8 18 409 4.9 1 480 888 12.8 13 486 19.8 21 988 11.1ASP HONG KONG, HK HKG 4 325 000 11.9 376 273 15.4 28 027 13.2 41 938 000 11.3 3 431 789 26.9 259 689 8.7 49 854 141 9.8 4 112 416 26.6 308 945 6.5ASP HYDERABAD, IN HYD 642 206 15.3 6 988 13.6 7 161 2.9 5 920 839 14.4 64 554 22.6 68 670 2.8 7 096 004 15.0 76 258 22.1 82 480 3.0ASP INCHEON, KR ICN 2 995 427 26.3 236 314 7.8 18 875 11.3 28 166 338 18.2 2 232 990 19.4 180 264 7.8 33 012 040 17.0 2 676 559 20.9 213 804 6.4ASP IPOH, MY IPH 3 825 (5.7) ***** ***** 62 (24.4) 37 304 n.a. ***** ***** 3 020 n.a. 46 951 n.a. ***** ***** 3 188 n.a.ASP JAIPUR, IN JAI 138 532 9.4 862 46.1 1 719 (3.5) 1 302 971 12.8 7 388 67.0 15 697 (19.6) 1 588 187 15.7 8 509 78.2 19 301 (17.7)ASP JAKARTA, ID CGK 3 753 012 9.7 39 053 (4.6) 27 468 13.0 36 025 067 18.9 419 495 16.8 255 899 13.7 42 861 732 20.0 505 607 19.1 303 725 14.0ASP JAKARTA, ID HLP 12 039 (47.9) 14 § 2 433 (25.4) 167 062 4.6 1 065 (15.7) 22 233 0.5 203 674 4.4 1 112 (39.8) 26 426 1.0ASP JEJU, KR CJU 1 501 723 21.8 12 615 (7.9) 9 499 2.6 13 289 228 16.1 125 101 (5.9) 86 249 5.1 15 491 281 16.5 156 095 (3.9) 103 670 7.2ASP JOHOR BAHRU, MY JHB 103 227 2.4 532 3.0 2 828 (10.9) 1 000 299 (6.4) 5 281 48.9 42 370 2.8 1 248 014 (6.7) 7 025 70.8 52 379 6.5ASP KAOHSIUNG, TW KHH 321 627 11.8 5 164 (4.5) 3 410 2.4 3 427 608 11.8 54 617 24.9 34 282 1.7 4 022 360 11.7 65 271 27.1 40 916 2.3ASP KATHMANDU, NP KTM 405 691 9.2 1 747 1.7 11 572 9.6 3 059 554 11.7 15 145 (6.4) 80 875 8.3 3 725 740 13.0 19 012 (4.0) 98 085 8.9ASP KOTA BHARU, MY KBR 84 914 1.0 42 (6.7) 6 824 (4.4) 865 264 4.8 428 6.7 65 384 3.4 1 042 510 6.5 487 1.5 76 204 5.3ASP KOTA KINABALU, MY BKI 434 510 5.6 2 449 8.2 3 889 (14.6) 4 260 986 7.9 24 521 8.9 46 111 3.0 5 181 544 7.6 29 096 3.7 55 099 2.6ASP KUALA LUMPUR, MY KUL 2 894 245 10.7 62 408 5.6 21 371 9.3 27 778 798 16.5 581 893 18.4 202 727 8.3 33 623 895 16.8 693 281 18.9 242 708 8.3ASP KUALA TERENGGANU, MY TGG 43 412 (1.2) 3 70.0 527 (7.9) 445 480 0.8 53 112.0 5 654 2.1 527 172 2.7 61 111.4 6 675 3.3ASP KUANTAN, MY KUA 17 245 (14.4) 2 (33.3) 234 (4.5) 187 229 0.6 41 (40.5) 2 369 (11.0) 223 602 (1.9) 48 (41.4) 2 942 (9.4)ASP KUCHING, MY KCH 294 881 (2.5) 2 441 28.7 3 904 (0.2) 2 974 676 3.4 22 660 27.8 39 422 6.8 3 671 751 4.7 26 717 25.8 47 127 6.9ASP KUNMING, CN KMG 1 814 953 4.4 23 503 6.3 15 602 0.5 16 787 501 6.9 227 919 7.7 151 223 5.5 20 035 110 8.3 274 469 11.5 180 473 6.6ASP LABUAN, MY LBU 42 324 (0.5) 422 (11.7) 956 (10.0) 412 313 6.2 4 173 7.2 10 082 13.0 500 801 2.1 4 839 2.8 12 225 11.4ASP LAHAD BATU, MY LDU 9 946 17.3 19 18.8 250 (12.0) 92 019 14.9 168 (8.2) 3 065 19.1 110 481 13.4 ***** ***** 3 544 14.8ASP LANGKAWI, MY LGK 109 237 1.3 57 3.6 1 149 2.2 1 110 772 3.5 375 (22.0) 19 475 (4.3) 1 398 046 7.1 529 (12.7) 24 915 (1.7)ASP LIJIANG, CN LJG 214 759 (7.8) 266 39.3 1 943 (9.1) 1 907 779 (1.3) 2 660 98.1 18 195 (2.5) 2 270 209 1.0 2 991 103.0 21 679 (0.8)ASP LIMBANG, MY LMN 3 919 (5.3) 51 88.9 156 (14.3) 40 472 8.8 491 13.9 1 765 25.4 48 601 6.3 575 7.3 2 168 26.6ASP LINCANG, CN LNJ 9 172 11.1 43 48.4 106 1.9 104 671 8.9 478 70.5 1 162 0.0 123 064 5.9 535 57.7 1 406 (0.4)ASP MACAU, MO MFM 317 040 (10.9) 5 173 (4.8) 3 179 (5.8) 3 427 602 (1.8) 44 051 6.5 30 790 (9.6) 4 188 279 (0.5) 55 356 5.9 37 327 (8.9)ASP MACKAY, AU MKY 95 225 16.9 205 (1.0) 3 238 (12.7) 750 828 (1.5) 1 807 (7.4) 32 097 0.2 906 059 (2.2) 2 239 (6.2) 39 501 1.6ASP MADRAS, IN MAA 992 038 14.7 33 645 19.2 9 997 17.4 9 551 520 14.7 320 628 28.5 96 624 2.7 11 414 761 15.2 377 654 28.8 115 437 1.2ASP MALACCA, MY MKZ 1 379 3.9 10 11.1 5 134 (25.6) 18 701 25.8 109 5.8 51 657 10.1 22 353 24.5 135 10.7 61 777 13.5ASP MALÉ, MV MLE 305 062 29.3 3 541 7.6 9 472 35.9 2 578 724 22.9 31 089 19.7 81 330 16.9 3 096 274 19.2 37 370 19.5 98 339 15.0ASP MANILA, PH MNL 2 191 859 17.1 36 801 (8.1) 18 575 0.3 22 493 267 12.8 351 094 23.0 195 657 4.1 26 492 542 12.0 426 947 27.6 233 639 6.1ASP MEDAN, ID MES 556 412 25.2 3 377 20.8 5 054 15.3 5 084 060 25.7 29 269 (3.2) 47 721 15.2 5 978 821 23.5 34 867 (6.1) 56 574 12.6ASP MELBOURNE, AU MEL 2 510 852 10.5 ***** ***** 17 516 5.7 22 830 973 9.9 ***** ***** 168 842 6.6 27 301 993 9.2 ***** ***** 201 418 5.1ASP MIRI, MY MYY 137 826 0.9 812 62.4 3 386 (12.0) 1 372 265 4.7 6 732 34.0 34 768 0.4 1 683 259 5.8 7 658 25.4 42 204 1.9ASP MOUNT ISA, AU ISA 19 918 30.7 ***** ***** 1 484 (4.7) 172 710 23.2 ***** ***** 14 196 (7.5) 202 244 18.3 ***** ***** 17 048 (7.0)ASP MULU, MY MZV 6 652 43.0 37 15.6 146 0.0 51 615 34.3 319 15.6 1 440 11.8 62 252 36.3 384 17.4 1 734 12.7ASP MUMBAI, IN BOM 2 356 224 4.3 61 919 21.7 21 554 5.0 22 788 152 13.5 560 576 21.0 208 586 4.7 27 508 183 15.0 663 777 21.3 250 280 4.5ASP NADI, FJ NAN 123 431 (13.3) ***** ***** 4 729 (18.6) 1 211 628 1.3 ***** ***** 50 923 (24.5) 1 455 936 1.0 ***** ***** 61 278 (25.2)ASP NAGOYA, JP NGO 802 136 0.3 14 206 (10.9) 6 983 (5.6) 8 039 325 1.4 131 666 7.1 71 683 (2.6) 9 457 677 (1.4) 159 834 6.8 85 933 (3.7)ASP NAGPUR, IN NAG 88 454 22.0 1 207 150.9 2 065 12.6 892 794 43.9 9 466 182.2 20 501 27.7 1 037 660 35.9 10 246 145.3 24 032 21.0ASP NAHA, JP OKA 1 231 599 5.5 32 993 55.9 10 680 (2.7) 12 377 145 4.1 318 211 60.7 109 386 5.5 14 524 282 1.8 379 654 56.5 130 940 5.6ASP NANJING, CN NKG 1 184 928 14.1 19 798 22.0 10 151 7.0 10 611 577 17.2 193 024 20.7 97 547 10.5 12 388 912 17.3 233 142 22.9 115 434 11.2ASP NEW DELHI, IN DEL 2 464 325 7.4 52 443 22.2 23 505 8.1 23 295 689 14.0 498 452 28.8 218 628 8.4 28 105 607 15.7 584 774 28.9 261 678 8.5ASP NEWCASTLE., AU NTL 111 757 8.9 30 0.0 1 676 1.7 962 596 1.6 300 0.0 15 452 (3.8) 1 150 959 0.2 360 0.0 18 340 (5.4)ASP NOUMEA, NC NOU 38 682 3.0 639 3.1 793 10.0 389 398 2.8 5 941 8.0 7 470 5.1 474 279 2.4 7 236 7.2 8 461 (5.0)ASP NUKUALOFA, TO TBU 18 610 (3.3) 95 (35.0) 479 12.4 187 648 3.6 1 172 10.7 4 485 4.8 229 047 3.8 1 532 7.6 5 367 0.6ASP OSAKA, JP ITM 1 292 564 (0.2) 12 722 2.9 10 674 (2.3) 12 420 089 3.0 110 732 (1.4) 107 476 (0.9) 14 926 805 1.8 136 762 (1.7) 129 336 (0.6)

- 10 - Notes/definitions on page 25

Page 12: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

ASP OSAKA, JP KIX 1 209 624 3.7 68 213 12.4 8 845 (3.6) 12 174 487 7.8 625 988 28.6 89 746 (4.8) 14 335 602 5.3 747 991 25.4 107 354 (6.6)ASP PADANG, ID PDG 180 918 (6.2) 1 197 § 1 250 (37.4)ASP PALEMBANG, ID PLM 397 130 129.9 936 (0.1) 1 417 (5.8) 1 923 285 29.7 8 583 14.5 13 473 2.5 2 250 964 28.0 10 134 10.8 16 085 2.7ASP PEKANBARU, ID PKU 203 575 9.3 752 (22.5) 1 649 (17.8) 1 833 476 12.6 9 613 (0.2) 17 457 (2.5) 2 183 578 13.7 11 769 (0.1) 20 859 (2.8)ASP PENANG, MY PEN 346 817 13.9 13 516 3.6 2 609 (32.6) 3 364 111 33.7 123 086 10.2 39 620 9.6 4 073 015 31.2 149 167 5.7 47 634 8.3ASP PERTH, AU PER 996 014 8.8 ***** ***** 10 448 5.5 9 022 267 8.8 ***** ***** 101 472 5.9 10 791 154 8.4 ***** ***** 121 119 4.7ASP PHNOM PENH, KH PNH 143 140 9.8 1 897 28.5 1 806 1.2 1 380 756 7.9 18 428 55.0 17 567 3.7 1 688 690 7.3 21 232 46.2 20 948 4.3ASP PHUKET, TH HKT 595 052 21.8 2 701 60.7 4 185 32.4 5 975 098 30.4 21 341 69.7 40 482 29.8 7 173 676 30.3 26 933 63.9 48 400 28.8ASP PONTIANAK, ID PNK 163 708 13.5 911 6.8 1 700 14.7 1 543 964 17.6 8 434 8.6 17 261 9.1 1 813 427 16.9 10 108 10.6 20 840 9.4ASP PORT BLAIR, IN IXZ 59 580 31.2 281 (7.0) 606 14.3 460 445 11.9 2 105 5.9 5 558 20.1 552 642 12.8 2 581 3.7 6 607 12.5ASP QUEENSTOWN, NZ ZQN 64 068 8.8 ***** ***** 1 642 (14.0) 730 716 22.4 ***** ***** 17 707 (7.6) 862 819 21.7 ***** ***** 21 558 (8.4)ASP REDANG, MY RDN 3 409 34.1 ***** ***** 150 56.3ASP SANDAKAN, MY SDK 63 623 6.2 226 42.1 1 132 (4.3) 604 237 12.2 2 786 54.5 11 980 17.3 737 641 14.3 3 355 53.0 14 653 23.5ASP SAPPORO, JP CTS 1 520 736 2.1 22 995 (0.0) 9 346 13.8 14 310 791 1.7 182 667 (4.1) 87 562 8.6 16 781 459 0.9 227 884 (4.6) 103 628 7.7ASP SEOUL, KR GMP 1 642 482 16.6 11 420 (10.5) 12 274 5.9 14 751 796 15.7 109 042 (10.0) 110 350 1.3 17 372 738 16.2 136 891 (8.0) 132 393 3.0ASP SHANGHAI, CN PVG 3 889 275 28.9 285 728 9.3 30 699 18.6 34 605 597 30.0 2 676 493 33.3 274 626 15.4 39 885 117 28.4 3 208 204 34.2 324 279 15.2ASP SHANGHAI, CN SHA 3 170 545 37.9 42 835 8.9 20 858 27.8 26 131 802 24.3 391 770 10.9 182 110 14.7 30 191 839 21.9 477 349 13.8 212 423 12.1ASP SHENZHEN, CN SZX 2 338 557 5.9 69 722 33.9 18 232 3.5 22 306 070 10.8 661 746 35.4 181 162 8.5 26 664 606 11.8 778 969 34.2 216 849 8.8ASP SIBU, MY SBW 83 749 9.7 141 (26.2) 1 562 (7.2) 840 872 11.1 1 040 (6.5) 15 711 8.4 1 023 892 14.2 1 203 (3.4) 18 808 10.8ASP SIEM REAP, KH REP 126 179 34.6 48 § 1 641 5.1 1 245 553 25.9 441 § 16 131 8.5 1 511 297 20.5 474 § 19 514 8.2ASP SIHANOUK VILLE, KH KOS 20 150.0 ***** ***** 6 §ASP SIMAO, CN SYM 18 809 33.3 25 94.6 202 42.3 180 696 17.7 408 125.8 2 106 28.9 218 202 19.0 442 137.1 2 474 26.9ASP SINGAPORE, SG SIN 3 581 850 7.9 164 790 5.1 22 945 6.8 34 351 823 14.5 1 526 518 12.8 221 436 9.9 41 549 401 13.6 1 833 666 12.2 264 832 9.4ASP SRINAGAR, IN SXR 60 889 (20.9) 233 5.0 862 15.9 814 848 11.1 1 816 11.0 7 933 8.7 965 657 16.9 2 321 24.3 9 524 11.8ASP SUBANG, MY SZB 94 882 18.1 1 634 0.1 5 643 2.1 937 842 45.5 15 777 (0.0) 53 764 19.2 1 113 268 29.4 18 533 (2.7) 63 815 19.9ASP SURABAYA, ID SUB 301 254 (8.7) 3 519 0.3 6 097 (23.7) 2 828 310 (7.8) 27 364 (5.3) 64 223 35.3 3 551 400 (7.7) 33 490 (6.6) 79 893 26.9ASP SYDNEY, AU SYD 3 227 458 3.6 ***** ***** 29 227 13.6 29 667 961 8.2 ***** ***** 256 561 7.1 35 696 547 8.1 ***** ***** 306 708 6.0ASP TAIPEI, TW TPE 2 107 288 14.0 152 266 8.0 13 239 4.5 21 148 830 19.4 1 471 902 37.7 129 825 14.1 25 049 808 19.7 1 761 465 39.9 155 410 14.3ASP TANJUNG PINANG, ID TNJ 10 078 (38.0) 131 (5.1) 148 (48.4)ASP TAWAU, MY TWU 74 773 (1.5) 262 45.6 943 (1.4) 722 132 4.4 2 984 71.4 8 982 11.7 892 700 6.8 3 394 68.7 10 843 14.6ASP TENCHONG COUNTY, CN TCZ 51 248 64.5 41 § 556 57.1 347 832 n.a. 338 n.a. 4 012 n.a. 429 035 n.a. 385 n.a. 4 888 n.a.ASP TIOMAN, MY TOD 4 119 6.3 ***** ***** 212 12.8 49 042 7.1 ***** ***** 1 988 1.6 52 304 4.7 ***** ***** 2 339 4.2ASP TOKYO, JP HND 5 665 870 2.7 73 330 2.9 28 850 1.6 53 300 514 2.9 642 355 0.7 281 280 0.6 63 449 871 1.4 794 843 0.4 337 454 0.5ASP TOKYO, JP NRT 2 879 173 1.8 189 081 1.3 16 483 3.4 28 855 330 8.0 1 823 464 22.4 161 637 3.0 34 275 808 7.7 2 185 520 22.1 193 145 2.2ASP TOWNSVILLE, AU TSV 147 879 0.8 ***** ***** 5 318 31.4 1 381 958 1.4 ***** ***** 43 488 9.2 1 658 155 2.4 ***** ***** 52 042 9.9ASP TRIVANDRUM, IN TRV 192 651 3.3 3 536 34.0 2 180 1.4 2 087 899 16.1 34 629 42.8 21 621 0.2 2 501 865 17.2 40 477 40.0 26 057 1.4ASP WELLINGTON, NZ WLG 456 160 (1.3) ***** ***** 8 744 2.0 4 303 735 9.7 ***** ***** 84 610 (3.6) 5 174 642 10.1 ***** ***** 101 830 (3.8)ASP WENSHAN, CN WNH 4 545 0.4 18 § 60 (21.1) 46 571 (3.2) 118 n.a. 628 1.6 55 406 n.a. 120 n.a. 748 n.a.ASP XIAMEN, CN XMN 1 180 106 5.9 20 953 23.6 9 921 1.8 10 942 923 17.5 201 252 26.5 97 003 10.6 12 956 692 18.5 238 114 26.7 115 267 11.4ASP XISHUANGBANNA, CN JHG 155 556 (6.5) 386 (8.2) 1 324 (14.0) 1 548 830 (2.7) 6 221 17.1 14 784 (2.0) 1 898 703 (1.8) 7 574 20.3 17 886 (2.3)ASP ZHAOTONG, CN ZAT 1 888 (43.4) 6 (23.0) 36 (40.0) 26 893 5.4 34 (28.4) 368 (8.0) 36 104 13.2 60 (14.2) 488 (5.4)EUR A CORUNA, ES LCG 97 883 6.9 18 (7.5) 1 483 6.8 923 076 3.2 197 4.5 14 775 6.3 1 084 699 2.7 249 6.4 17 111 4.0EUR AALESUND, NO AES 83 056 13.8 38 § 1 185 (1.0) 699 048 7.5 557 § 11 904 6.3 822 673 6.8 728 § 14 026 4.8EUR ABERDEEN, GB ABZ 263 526 (5.0) 564 4.3 8 990 (6.4) 2 353 659 (7.9) 5 300 9.3 86 798 (6.3) 2 799 385 (7.7) 6 357 9.8 103 935 (6.1)EUR ADANA, TR ADA 233 329 5.9 608 9.7 2 440 7.1 2 350 805 13.7 8 190 64.0 25 376 17.9 2 786 121 14.4 9 390 56.1 30 120 15.9EUR AJACCIO, FR AJA 83 417 8.0 490 (3.2) 968 0.9 1 001 331 2.6 4 900 7.1 11 497 2.2 1 115 466 3.3 5 790 6.9 13 031 2.6EUR ALBACETE, ES ABC 841 (20.4) ***** ***** 121 (15.4) 8 794 (29.4) ***** ***** 1 046 (12.8) 10 280 (29.0) ***** ***** 1 266 (18.0)EUR ALGECIRAS, ES AEI 1 956 n.a. ***** ***** 238 n.a.EUR ALGHERO, IT AHO 123 852 (4.5) 126 (4.2) 1 170 (9.9) 1 220 947 (9.2) 1 204 (18.4) 12 468 (8.3) 1 382 781 (7.3) 1 431 (21.6) 14 288 (7.4)EUR ALICANTE, ES ALC 953 780 8.0 273 (4.6) 7 211 (0.1) 8 319 157 3.5 2 627 (1.5) 65 403 1.3 9 412 598 3.3 3 162 (0.4) 75 122 1.0

- 11 - Notes/definitions on page 25

Page 13: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

EUR ALMERÍA, ES LEI 61 954 (16.7) 3 (18.8) 1 329 (10.4) 693 856 (1.0) 12 (13.5) 14 048 7.1 783 296 (1.5) 15 (5.6) 16 320 5.9EUR ALTA, NO ALF 30 275 5.0 38 (25.7) 943 14.0 285 627 (0.1) 317 (31.9) 8 794 9.6 333 750 0.0 397 (33.4) 10 394 8.0EUR AMSTERDAM, NL AMS 4 314 488 8.2 143 317 14.6 36 975 3.8 38 454 667 3.1 1 270 487 19.6 340 191 (1.8) 44 724 389 2.2 1 525 084 16.2 400 565 (2.6)EUR ANGELHOLM, SE AGH 38 149 8.7 2 100.0 1 191 9.6 306 443 1.4 13 18.2 10 865 4.2 369 277 1.3 15 7.1 12 734 3.5EUR ANGOULEME, FR ANG 5 § ***** ***** 2 935 (3.6) 306 § ***** ***** 20 582 (24.6) 320 § ***** ***** 24 570 (15.9)EUR ANKARA, TR ESB 738 092 36.6 1 185 (26.0) 7 071 21.5 6 455 660 26.2 12 953 10.1 61 072 18.5 7 525 318 23.3 15 145 8.3 72 136 17.8EUR ANTALYA, TR AYT 2 473 143 26.6 361 (42.5) 16 641 20.5 20 499 407 19.5 7 477 28.9 137 137 17.6 21 749 368 19.1 9 139 38.2 147 788 17.1EUR ANTWERP, BE ANR 15 010 (0.5) 424 10.4 4 575 (13.7) 141 085 (2.4) 3 542 (6.3) 46 682 (13.4) 165 960 (2.1) 4 352 (6.2) 53 016 (14.4)EUR ARAD, RO ARW 385 § 85 57.5 168 (32.3) 21 744 § 577 (4.1) 1 756 (33.6) 32 461 § 672 (1.4) 2 100 (31.9)EUR ASTURIAS, ES OVD 121 156 9.5 28 23.5 1 576 12.6 1 147 783 2.3 211 0.3 14 002 1.1 1 337 118 2.3 250 1.6 16 186 (1.4)EUR ATHENS, GR ATH 1 312 474 (4.4) 8 455 (5.7) 16 142 (6.1) 13 434 142 (3.9) 81 561 (6.3) 166 498 (6.8) 15 665 942 (2.7) 98 992 (6.1) 197 945 (4.4)EUR BADAJOZ, ES BJZ 4 594 (23.4) ***** ***** 258 (14.6) 48 379 (23.0) ***** ***** 2 941 (12.2) 56 688 (22.4) ***** ***** 3 376 (12.7)EUR BAIA MARE, RO BAY 1 626 (15.1) ***** ***** 80 21.2 16 115 (22.5) ***** ***** 617 19.1 20 319 (18.7) ***** ***** 754 17.8EUR BARCELONA, ES BCN 2 798 176 18.1 9 372 3.6 25 667 8.9 24 802 640 6.2 88 256 18.2 233 220 (1.7) 28 741 424 5.9 105 770 15.5 275 014 (2.1)EUR BARDUFOSS, NO BDU 16 512 9.7 1 n.a. 242 (29.2) 158 998 6.6 ***** ***** 2 628 0.3 185 522 5.6 ***** ***** 2 983 (0.4)EUR BARI, IT BRI 302 086 25.3 211 79.0 3 041 26.0 2 877 926 19.1 1 934 6.1 30 083 9.7 3 287 019 19.1 2 166 (8.5) 34 432 7.7EUR BASEL, CH BSL 429 876 13.5 3 880 19.5 7 155 5.4 3 517 516 5.9 35 342 41.1 65 446 2.4 4 040 225 5.6 41 523 33.6 76 547 2.8EUR BASTIA, FR BIA 79 225 3.2 644 9.9 1 022 (2.5) 894 193 (0.0) 5 672 6.7 11 437 (1.8) 1 011 411 1.2 6 711 4.2 13 123 (0.5)EUR BATUMI, GE BUS 6 425 4.4 ***** ***** 192 21.5 77 041 29.2 ***** ***** 1 912 19.5 87 332 25.7 ***** ***** 2 118 12.9EUR BEAUVAIS, FR BVA 252 699 2.2 ***** ***** 1 722 (2.2) 2 447 828 13.3 ***** ***** 16 900 10.2 2 879 277 13.2 ***** ***** 20 188 10.4EUR BELFAST, GB BFS 366 587 (5.1) 4 286 12.2 5 346 (4.7) 3 517 030 (11.8) 36 458 2.5 52 426 (11.4) 4 088 363 (11.4) 43 955 1.4 61 750 (10.8)EUR BELFAST, GB BHD 261 811 8.1 10 11.1 3 627 4.7 2 414 278 11.1 126 7.7 34 231 4.4 2 862 547 11.2 147 5.0 40 788 4.4EUR BELGRADE, RS BEG 226 122 19.6 860 28.4 4 129 12.0 2 325 271 11.8 6 446 5.4 40 382 7.1 2 634 043 9.6 7 865 1.1 46 748 5.2EUR BERGEN, NO BGO 474 561 9.1 773 26.4 8 883 0.8 4 090 354 4.4 6 223 2.3 80 825 (1.6) 4 801 661 3.8 7 061 1.0 95 975 (1.6)EUR BERLIN, DE SXF 727 300 8.6 829 122.7 7 259 8.6 6 183 294 7.4 7 935 36.3 64 283 0.6 7 222 795 7.5 9 078 23.0 75 892 1.4EUR BERLIN, DE TXL 1 531 968 11.6 2 042 40.5 14 921 4.5 12 657 793 5.9 18 109 14.4 133 788 1.8 14 885 335 5.2 21 121 8.7 158 573 1.0EUR BERN, CH BRN 9 977 (6.3) ***** ***** 4 210 (16.1) 90 098 (6.1) ***** ***** 47 417 (6.7) 101 766 (2.5) ***** ***** 53 846 (4.2)EUR BIARRITZ, FR BIQ 89 059 1.7 ***** ***** 794 (0.6) 864 570 (1.1) ***** ***** 7 680 (5.8) 1 001 006 (0.5) ***** ***** 9 060 (30.7)EUR BILBAO, ES BIO 338 370 11.6 234 (5.7) 4 641 (0.4) 3 326 502 7.7 2 131 (5.6) 46 134 0.9 3 878 100 6.9 2 570 (5.7) 54 574 1.3EUR BILLUND, DK BLL 260 959 16.0 5 696 33.9 4 652 7.4 2 279 054 13.5 50 860 35.2 44 882 6.0 2 570 229 12.3 58 728 29.1 51 255 5.7EUR BIRMINGHAM, GB BHX 793 762 (0.3) 2 068 33.4 9 156 4.2 7 539 011 (5.6) 18 950 82.6 83 492 (4.3) 8 658 183 (6.0) 22 273 84.7 97 886 (5.2)EUR BLACKPOOL, GB BLK 16 863 (42.6) 3 (40.0) 4 669 6.5 215 911 (16.8) 32 (23.8) 44 001 (5.1) 233 417 (19.5) ***** ***** 50 141 (6.7)EUR BODO, NO BOO 150 555 8.3 181 (14.1) 3 726 3.3 1 364 534 4.0 1 695 (12.1) 36 074 2.1 1 606 725 5.0 2 068 (12.6) 42 519 1.8EUR BODRUM, TR BJV 266 240 5.8 11 (47.6) 2 125 3.8 2 994 411 10.2 135 (39.7) 24 772 10.4 3 083 240 10.6 148 (36.2) 25 798 10.7EUR BOLOGNA, IT BLQ 499 543 17.5 2 458 (6.2) 5 612 5.4 4 673 181 14.8 23 959 5.9 54 324 7.1 5 377 785 16.3 28 648 3.5 63 748 8.5EUR BORDEAUX, FR BOD 333 397 11.3 955 (4.6) 5 647 0.9 3 118 783 9.7 9 420 6.3 54 421 1.8 3 593 317 8.3 11 283 6.3 63 445 1.2EUR BOURGAS, BG BOJ 31 613 6.2 883 § 488 (33.6) 1 881 463 11.0 4 952 84.7 15 487 3.8 1 891 767 11.3 4 980 n.a. 16 206 5.8EUR BOURNEMOUTH, GB BOH 82 362 16.3 904 4.5 6 253 (23.9) 736 416 (6.8) 7 997 (3.0) 54 138 (28.7) 819 789 (11.6) 9 841 (0.2) 65 143 (25.2)EUR BREMEN, DE BRE 283 336 14.4 45 (27.4) 4 363 10.7 2 295 984 10.4 466 (25.4) 39 898 7.5 2 664 203 9.5 572 (21.0) 46 450 6.6EUR BREST, FR BES 81 666 3.8 393 (4.1) 1 200 (6.2) 763 341 (0.6) 3 772 (0.8) 12 185 (1.6) 874 957 (1.4) 4 540 (1.1) 14 216 (2.1)EUR BRIGHTON, GB BSH 50 (32.4) ***** ***** 5 321 0.8 770 (32.1) ***** ***** 54 203 (1.0) 849 (47.1) ***** ***** 60 222 (2.7)EUR BRINDISI, IT BDS 146 266 50.2 9 § 1 270 23.1 1 342 647 45.7 125 (39.4) 12 234 25.7 1 512 724 45.2 277 29.6 13 965 23.5EUR BRISTOL, GB BRS 551 419 3.5 ***** ***** 6 355 (0.2) 5 110 359 3.3 ***** ***** 60 160 (1.6) 5 803 890 2.4 ***** ***** 69 262 (2.9)EUR BRNO, CZ BRQ 26 193 2.2 301 § 2 686 8.9 359 275 (13.6) 4 391 (42.3) 23 039 (16.0) 384 425 (14.5) 6 466 (23.6) 26 130 (15.4)EUR BRUSSELS, BE BRU 1 615 784 8.0 39 010 11.1 20 705 3.0 14 653 727 0.4 368 006 8.0 190 541 (3.7) 17 026 012 0.1 439 049 3.2 224 431 (4.1)EUR BUCHAREST, RO BBU 166 930 n.a. 27 n.a. 2 297 n.a. 1 809 898 n.a. 219 n.a. 25 606 n.a.EUR BUCHAREST, RO OTP 442 849 12.5 2 097 (3.8) 6 813 8.1 4 195 303 10.3 18 975 7.4 65 267 6.5 4 875 861 8.9 22 891 5.2 76 663 6.0EUR BUDAPEST, HU BUD 773 420 0.9 5 853 15.4 9 569 1.0 7 026 884 1.0 54 189 23.5 89 556 (4.9) 8 153 865 1.6 64 672 24.0 105 217 (4.9)EUR BURGOS, ES RGS 3 373 98.5 ***** ***** 330 12.6 25 191 19.4 ***** ***** 3 180 (1.6) 27 539 10.7 ***** ***** 3 518 (1.5)EUR CAEN, FR CFR 8 525 2.7 4 § 1 794 (6.1)

- 12 - Notes/definitions on page 25

Page 14: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

EUR CAGLIARI, IT CAG 312 405 9.2 323 (11.3) 3 325 (4.7) 2 994 986 3.7 3 045 (8.7) 34 063 (3.4) 3 435 960 5.3 3 681 (7.6) 39 619 (1.8)EUR CALVI, FR CLY 18 444 (3.4) 1 (33.3) 352 0.6 258 715 (4.0) 3 § 4 425 (0.2) 275 486 (3.5) 5 § 4 827 (0.1)EUR CARDIFF, GB CWL 136 470 (8.7) ***** ***** 2 621 9.7 1 274 517 (14.1) ***** ***** 22 285 (5.8) 1 426 086 (14.9) ***** ***** 25 366 (7.9)EUR CATANIA, IT CTA 559 650 9.8 832 0.1 5 072 2.4 5 454 077 6.3 7 614 8.3 49 546 2.1 6 257 003 6.9 9 107 7.0 57 387 3.4EUR CEUTA, ES JCU 3 485 101.0 ***** ***** 402 87.9 22 690 34.5 1 10.9 2 763 34.5 25 867 23.4 1 (2.5) 3 150 22.5EUR CHAMBERY, FR CMF 126 (14.3) ***** ***** 2 248 (7.3) 216 577 (7.8) ***** ***** 27 822 (7.8) 240 482 (7.6) ***** ***** 31 588 (5.8)EUR CHARLEROI, BE CRL 505 140 39.1 1 120.0 7 565 (2.9) 4 397 769 35.0 ***** ***** 71 198 0.7EUR CHATEROUX, FR CHR 164 § 727 (4.0) 1 400 21.8 2 917 (12.0) 5 188 (32.1) 12 965 3.2 ***** ***** 6 214 (34.1) 15 018 2.4EUR CHISINAU, MD KIV 84 210 23.1 215 9.7 1 231 16.6 806 447 15.9 1 969 19.8 11 545 10.4 917 085 13.1 2 347 10.4 13 443 7.9EUR CLERMONT-FERRAND, FR CFE 34 102 (5.8) 227 173.5 3 302 (31.8) 323 271 (2.9) 1 997 40.2 36 186 (8.9) 382 182 (4.4) 2 335 50.9 42 006 (8.3)EUR CLUJ, RO CLJ 78 909 12.8 41 9.6 1 375 25.9 860 021 21.9 354 (2.7) 13 956 25.9 1 008 041 25.0 427 (2.8) 16 354 26.3EUR COLOGNE, DE CGN 992 865 4.3 62 209 21.6 12 503 2.8 8 565 724 2.0 523 086 15.4 114 573 2.1 9 904 461 2.0 622 259 14.4 134 505 2.1EUR COPENHAGEN, DK CPH 2 047 985 13.4 ***** ***** 22 575 6.8 18 260 672 8.7 ***** ***** 207 162 3.9 21 135 459 7.8 ***** ***** 243 942 3.3EUR CÓRDOBA, ES ODB 146 (24.4) ***** ***** 570 (8.2) 1 577 (30.4) ***** ***** 6 167 (19.9) 1 834 (27.9) ***** ***** 7 109 (20.8)EUR CORK, IE ORK 205 004 (10.2) 61 (12.2) 4 162 3.1 2 114 459 (11.9) 661 (17.0) 41 233 (9.5) 2 477 056 (11.6) 797 (27.7) 48 384 (10.2)EUR DERRY, GB LDY 31 039 21.6 ***** ***** 928 7.5 290 068 (2.1) ***** ***** 8 647 (1.9) 339 555 (5.1) ***** ***** 10 123 (3.3)EUR DIJON, FR DIJ 2 416 § ***** ***** 402 (20.4) 11 306 (11.0) ***** ***** 3 655 (20.5) 11 595 (10.7) ***** ***** 4 200 (18.8)EUR DONCASTER, GB DCS 95 432 24.5 3 § 1 177 21.0 795 834 4.7 ***** ***** 9 753 9.0 871 324 1.4 ***** ***** 10 944 4.4EUR DORTMUND, DE DTM 175 885 10.0 710 20.6 2 708 1.0 1 518 006 2.2 6 587 18.3 27 342 (1.8) 1 749 878 2.1 7 647 14.1 31 416 (0.4)EUR DRESDEN, DE DRS 195 488 12.9 21 (5.9) 3 410 11.3 1 574 976 7.4 312 (29.0) 30 360 2.3 1 828 052 6.5 352 (26.8) 35 481 2.4EUR DUBLIN, IE DUB 1 710 348 1.0 10 030 11.9 14 456 0.2 16 003 386 (10.0) 87 517 9.6 137 657 (9.4) 18 716 373 (10.3) 105 089 8.5 162 560 (10.7)EUR DUBROVNIK, HR DBV 103 976 10.4 36 (10.5) 1 241 0.6 1 216 506 12.8 351 (22.0) 14 711 8.7 1 260 399 11.7 417 (21.5) 15 519 8.1EUR DÜSSELDORF, DE DUS 1 986 393 11.0 7 987 15.1 20 659 4.2 16 268 251 6.6 74 604 40.6 183 162 1.2 18 799 853 6.1 86 861 37.1 216 122 1.2EUR EAST MIDLANDS, GB EMA 406 509 (2.5) 28 553 6.5 6 492 (10.0) 3 736 690 (9.6) 252 932 7.2 62 332 (11.7) 4 273 940 (11.6) 304 777 7.9 72 929 (12.7)EUR EDINBURGH, GB EDI 853 509 3.4 3 838 (14.8) 10 314 2.3 7 503 214 (4.1) 38 482 (13.0) 94 147 (5.4) 8 731 277 (3.7) 47 406 (10.4) 110 621 (5.8)EUR EINDHOVEN, NL EIN 220 657 27.7 ***** ***** 1 769 19.1 1 846 657 28.0 ***** ***** 16 129 23.4 2 115 287 28.5 ***** ***** 18 702 22.8EUR EKATERINBURG, RU SVX 233 590 20.5 2 361 63.2 2 862 17.6 2 307 525 26.8 18 631 72.0 25 898 12.2 2 664 161 24.0 21 706 57.2 30 406 9.3EUR EXETER, GB EXT 73 315 0.2 311 (0.0) 2 872 (3.9) 663 885 (6.5) 3 146 (1.7) 29 990 (11.4) 749 907 (6.5) 3 815 (0.8) 34 744 (12.6)EUR FARO, PT FAO 590 852 13.5 23 (28.0) 4 701 8.1 4 981 264 6.2 265 § 41 008 3.0 5 352 294 5.5 302 § 45 220 2.8EUR FIGARI, FR FSC 28 955 2.3 ***** ***** 492 7.9 410 344 10.3 ***** ***** 6 752 6.8 440 057 10.5 ***** ***** 7 324 6.6EUR FLORENCE, IT FLR 170 826 9.6 15 (21.1) 2 877 5.4 1 486 987 3.2 153 (24.1) 26 576 (0.6) 1 723 946 3.8 189 (14.4) 31 146 0.0EUR FLORES, PT FLW 3 108 6.4 18 (18.0) 128 (11.7) 38 171 3.1 198 (25.2) 1 330 (12.0) 42 573 2.6 242 (24.9) 1 560 (8.0)EUR FLORO, NO FRO 10 844 (0.7) 6 10.5 738 1.2 99 032 (1.2) 57 7.1 7 267 7.3 117 892 1.3 70 10.9 8 586 8.6EUR FOGGIA, IT FOG 6 081 37.2 ***** ***** 445 (0.4) 61 193 9.2 ***** ***** 4 635 (6.4) 73 406 3.5 ***** ***** 5 560 (6.7)EUR FRANKFURT, DE FRA 5 019 267 8.5 209 811 15.5 42 320 4.0 45 100 780 4.4 1 887 134 24.6 391 349 0.7 52 850 234 3.9 2 260 342 22.9 465 667 0.4EUR FRIEDRICHSHAFEN, DE FDH 60 694 21.1 6 § 3 568 4.6 512 049 0.7 ***** ***** 39 197 (2.3) 582 006 0.4 ***** ***** 43 669 (1.7)EUR FUERTEVENTURA, ES FUE 388 538 21.1 142 (11.6) 3 487 15.8 3 488 813 11.4 1 449 (12.5) 32 860 8.3 4 083 996 7.4 1 761 (14.2) 38 933 4.7EUR FUNCHAL, PT FNC 194 523 1.0 710 (4.2) 2 062 6.6 1 932 320 (4.4) 7 050 (3.1) 22 086 2.5 2 256 830 (4.1) 8 482 (3.0) 25 697 0.4EUR GENEVA, CH GVA 1 009 368 7.9 4 159 15.5 14 892 4.4 10 065 878 4.8 36 581 25.8 151 214 3.1 11 696 891 4.9 43 507 25.3 177 256 2.4EUR GENOA, IT GOA 127 409 16.5 23 § 2 375 4.2 1 083 954 12.7 581 § 20 966 0.2 1 248 012 11.8 820 (47.2) 24 264 0.2EUR GIRONA, ES GRO 450 322 (3.6) 8 § 3 823 (12.1) 4 447 119 (4.0) 39 (11.5) 38 901 (7.3) 5 084 598 (4.0) 66 42.8 45 071 (7.1)EUR GLASGOW, GB GLA 664 284 (7.2) 121 (43.8) 7 446 (5.2) 5 704 469 (9.6) 3 074 30.2 66 526 (9.5) 6 620 981 (9.2) 3 460 22.0 78 295 (9.9)EUR GOTHENBURG, SE GOT 411 843 20.7 4 890 13.2 5 933 13.0 3 479 694 11.3 40 984 12.3 50 438 5.9 4 066 498 9.4 49 018 10.0 59 503 4.3EUR GRAN CANARIA, ES LPA 824 888 7.3 2 591 (3.5) 8 686 2.6 7 720 897 3.8 22 120 (6.7) 84 983 2.6 9 428 021 2.4 27 356 (8.4) 103 742 1.4EUR GRANADA, ES GRX 82 908 (19.7) 5 45.0 1 163 (21.5) 830 307 (15.8) 50 44.5 11 889 (14.1) 1 019 551 (12.0) 62 45.7 14 355 (12.7)EUR GRAZ, AT GRZ 89 494 6.2 19 26.7 4 575 (3.5) 859 625 4.2 168 19.1 43 016 (21.6) 983 592 4.4 193 0.0 49 388 (18.7)EUR GRENOBLE, FR GNB 955 194.8 ***** ***** 2 656 (26.7) 320 149 (22.8) ***** ***** 30 409 (10.3) 361 541 (24.3) ***** ***** 35 531 (6.9)EUR GUERNSEY, GB GCI 87 600 (1.1) 479 (7.2) 4 849 (2.9) 830 212 0.5 4 497 (6.5) 47 925 (3.4) 980 070 1.2 5 532 (6.5) 56 100 (3.9)EUR HAHN, DE HHN 354 731 0.4 16 602 51.5 3 476 4.4 3 055 159 (8.1) 129 757 63.4 32 060 (4.9) 3 524 056 (8.1) 158 299 60.2 37 317 (4.7)EUR HAMBURG, DE HAM 1 328 858 10.4 6 545 7.7 14 483 (0.4) 11 009 902 6.2 59 824 11.4 133 895 0.8 12 873 901 6.1 70 763 8.8 158 542 1.3

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Page 15: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

EUR HAMMERFEST, NO HFT 12 814 (4.8) 18 (23.7) 983 18.4 101 325 (7.7) 182 (17.1) 8 277 1.4 122 395 (6.2) 223 (15.6) 9 829 0.2EUR HANOVER, DE HAJ 555 050 8.3 1 420 § 7 206 1.8 4 381 772 1.1 12 798 32.3 65 229 (2.8) 5 016 840 0.3 14 525 17.0 75 831 (3.3)EUR HARSTAD, NO EVE 46 817 7.7 29 § 734 (3.2) 471 305 9.0 369 § 7 757 2.4 545 420 8.2 420 § 9 137 0.7EUR HAUGESUND, NO HAU 56 598 0.2 22 17.7 721 (20.2) 468 770 5.7 219 (16.4) 7 671 7.3 557 705 7.6 258 (17.0) 9 123 7.5EUR HELSINKI, FI HEL 1 211 723 6.4 15 575 24.8 16 720 7.5 10 894 419 1.5 125 396 24.9 147 730 (0.7) 12 756 397 0.2 147 129 21.0 174 941 (2.0)EUR HIERRO, ES VDE 15 389 (3.4) 20 (0.7) 380 3.3 143 463 (6.7) 188 (4.6) 3 510 (4.6) 172 022 (6.7) 228 (6.3) 4 172 (5.7)EUR HORTA, PT HOR 13 275 2.8 72 (27.0) 408 (5.3) 169 952 (0.4) 916 (9.1) 4 142 (7.0) 191 189 0.4 1 103 (7.4) 4 824 (5.5)EUR HUESCA-PIRINEOS, ES HSK 3 n.a. ***** ***** 554 § ***** ***** ***** ***** 10 849 (42.6) ***** ***** ***** ***** 13 389 (39.1)EUR HUMBERSIDE, GB HUY 27 226 (1.4) 93 24.0 2 955 (4.3) 257 815 (16.4) 714 (12.0) 27 997 (11.4) 290 709 (18.6) 826 (12.1) 32 876 (10.5)EUR IBIZA, ES IBZ 356 996 14.0 258 (6.0) 4 403 12.5 4 805 853 10.6 2 951 2.4 53 105 6.8 5 019 039 10.2 3 342 0.7 56 938 5.8EUR INNSBRUCK, AT INN 52 982 2.8 42 6.9 3 774 (0.9) 899 291 7.5 292 (1.8) 39 497 4.5 1 025 672 7.4 361 0.6 45 209 3.3EUR ISLE OF MAN, GB IOM 63 749 3.9 290 (3.7) 3 039 (4.2) 578 607 (4.5) 2 601 11.6 30 479 (8.6) 695 231 (3.6) 3 154 11.7 36 151 (8.0)EUR ISTANBUL, TR IST 2 938 420 6.2 44 953 16.0 25 463 1.9 27 124 294 7.8 383 979 26.9 240 143 1.1 31 816 762 8.0 462 677 29.0 286 602 2.0EUR ISTANBUL, TR SAW 1 055 865 64.7 3 282 § 9 754 60.0 9 639 262 85.9 21 365 154.7 88 498 85.9 11 093 049 88.3 23 458 157.7 102 771 86.1EUR IZMIR, TR ADB 674 579 18.1 1 873 37.2 5 690 14.6 6 426 890 21.6 15 576 36.9 53 168 17.5 7 397 169 22.8 18 086 32.6 62 098 17.9EUR JEREZ, ES XRY 96 476 2.1 6 (31.5) 2 944 (15.5) 896 791 (0.0) 90 (14.3) 29 328 (24.3) 1 012 507 0.3 104 (10.0) 33 887 (25.4)EUR JERSEY, GB JER 133 612 4.6 443 (3.7) 5 279 (1.3) 1 280 804 (1.1) 2 797 (13.2) 53 823 (3.8) 1 477 196 (1.2) 3 394 (13.0) 61 895 (5.9)EUR KALMAR, SE KLR 17 073 7.9 ***** ***** 1 146 78.5 139 241 5.8 ***** ***** 7 913 28.9 165 303 3.4 ***** ***** 8 924 28.5EUR KARLOVY VARY, CZ KLV 8 037 24.8 ***** ***** 640 76.8 59 587 3.4 ***** ***** 6 037 (14.2) 67 701 0.8 ***** ***** 6 629 (11.9)EUR KARLSTAD, SE KSD 7 126 (3.6) 71 6.0 634 (8.6) 70 157 (1.4) 641 (16.9) 5 692 (12.3) 85 479 (8.2) 775 (18.0) 6 556 (13.4)EUR KATOWICE, PL KTW 194 806 1.4 1 021 67.1 2 435 13.9 2 123 666 1.7 9 202 88.6 23 114 1.5 2 399 107 0.6 10 866 82.4 26 537 0.7EUR KAUNAS, LT KUN 86 393 98.6 496 97.4 794 41.5 662 496 74.3 3 745 127.8 7 238 44.7 743 996 69.3 4 351 113.7 8 381 44.5EUR KEFLAVIK, IS KEF 154 473 21.8 3 329 (5.2) 4 676 29.2 1 580 234 7.3 29 910 (5.1) 44 458 19.7 1 766 134 6.7 36 548 (6.7) 52 026 26.4EUR KIEV, UA KBP 608 417 22.7 3 092 23.9 8 978 23.1 5 698 212 13.2 25 674 19.3 80 521 9.5 6 458 811 9.7 31 324 17.5 93 637 5.8EUR KIRKENES, NO KKN 23 685 0.2 53 5.6 741 (6.0) 240 628 (0.3) 482 0.6 7 229 (0.2) 276 887 0.4 574 (1.1) 8 580 0.5EUR KIRUNA, SE KRN 12 304 16.2 46 24.3 378 (9.6) 171 892 7.4 350 (3.8) 5 347 3.8 198 364 7.7 429 (4.5) 6 009 3.8EUR KLAGENFURT, AT KLU 34 935 0.9 ***** ***** 2 599 (7.7) 371 826 7.3 ***** ***** 28 082 (2.1) 435 819 7.5 ***** ***** 31 364 (1.3)EUR KRAKOW, PL KRK 272 527 15.1 392 1.1 2 935 1.9 2 489 688 7.0 3 748 8.7 28 548 1.5 2 843 314 7.6 4 475 9.3 33 336 2.2EUR KRISTIANSAND, NO KRS 84 928 3.1 32 (4.8) 1 455 (8.2) 700 096 (2.3) 272 (15.8) 17 146 (6.8) 829 308 (2.7) 324 (18.9) 19 839 (9.7)EUR KRISTIANSUND, NO KSU 24 547 (0.9) 16 (25.3) 1 062 (13.3) 222 876 (2.7) 186 (5.7) 11 695 (7.3) 267 104 (1.1) 220 (4.6) 13 951 (6.4)EUR LA GOMERA, ES GMZ 2 961 5.2 1 (2.8) 168 8.4 27 524 (5.5) 8 (9.8) 1 524 (8.6) 32 488 (7.2) 10 (4.6) 1 773 (18.1)EUR LA PALMA, ES SPC 84 496 (0.2) 80 (19.1) 1 645 3.0 839 215 (4.1) 856 (9.5) 16 405 (2.3) 1 006 540 (4.6) 1 055 (10.6) 19 363 (3.4)EUR LAKSELV, NO LKL 4 290 (14.4) 27 (16.1) 294 (0.7) 47 113 (2.8) 251 (17.6) 2 986 (1.5) 55 620 (2.2) 306 (16.7) 3 491 (1.5)EUR LANZAROTE, ES ACE 440 911 11.0 391 21.2 4 011 11.7 4 181 587 6.9 3 308 (9.8) 39 224 10.8 4 968 110 6.2 3 960 (11.8) 46 746 8.7EUR LARNACA, CY LCA 573 663 8.1 3 433 4.5 5 530 10.9 4 916 555 4.3 32 815 (0.5) 49 504 3.2 5 465 412 3.4 40 134 (1.5) 56 327 0.9EUR LEIPZIG, DE LEJ 247 548 (3.9) 61 655 21.7 5 625 (0.1) 2 064 272 (1.7) 518 343 26.8 52 088 3.1 2 375 570 (0.5) 616 847 26.4 61 701 3.8EUR LEON, ES LEN 8 557 15.6 ***** ***** 418 19.1 80 364 (3.7) 3 4.4 4 124 (4.4) 92 081 (4.7) 4 (33.0) 4 582 (5.5)EUR LIEGE, BE LGG 18 368 (12.3) 56 857 19.2 4 326 (11.3) 278 979 (14.8) 528 924 41.4 41 954 9.4 303 525 (14.3) 637 104 39.9 50 120 12.3EUR LILLE, FR LIL 106 096 (0.6) 3 885 (24.2) 1 467 (2.3) 1 022 042 2.2 41 601 2.0 14 172 (7.1) 1 161 800 3.5 52 676 5.3 16 601 (6.8)EUR LINZ, AT LNZ 63 728 18.4 555 (29.6) 3 554 (7.6) 622 633 2.4 5 217 10.3 35 294 (10.0) 697 636 1.0 6 201 9.0 40 610 (9.7)EUR LISBON, PT LIS 1 293 181 11.6 9 112 6.1 12 511 9.7 12 048 340 6.2 87 269 13.8 120 675 5.0 13 966 994 5.8 105 912 13.4 142 080 3.9EUR LIVERPOOL, GB LPL 482 054 5.5 16 § 6 470 (14.0) 4 370 222 4.0 101 § 64 714 (4.1) 5 088 608 4.3 117 § 75 206 (4.1)EUR LJUBLJANA, SI LJU 121 793 (0.3) 672 2.9 4 012 (0.2) 1 218 119 (3.1) 6 030 5.8 36 863 (5.9) 1 387 054 (3.5) 7 455 3.0 43 157 (4.8)EUR LOGROÑO, ES RJL 1 285 (18.7) ***** ***** 284 (31.9) 14 854 (39.0) ***** ***** 3 214 (29.1) 16 805 (42.8) ***** ***** 3 702 (26.6)EUR LONDON, GB BQH ***** ***** ***** ***** 3 934 (6.8) ***** ***** ***** ***** 44 724 (15.5) ***** ***** ***** ***** 50 058 (15.6)EUR LONDON, GB LCY 252 425 0.8 215 23.3 5 960 (7.2) 2 387 438 2.5 1 665 (1.9) 58 217 (9.0) 2 857 511 0.8 2 058 (3.8) 69 646 (11.0)EUR LONDON, GB LGW 2 851 590 0.8 10 104 27.7 21 827 (1.8) 27 356 481 (3.0) 91 487 47.0 206 987 (4.3) 31 549 029 (2.3) 108 551 40.1 242 427 (3.4)EUR LONDON, GB LHR 6 108 722 7.2 145 660 15.0 41 219 5.7 55 825 962 0.3 1 298 850 19.1 383 505 (2.0) 66 195 641 0.4 1 557 888 17.4 458 537 (1.9)EUR LONDON, GB LTN 822 735 1.3 2 586 2.4 8 849 (1.0) 7 572 147 (4.9) 24 105 (0.1) 80 880 (5.3) 8 737 578 (5.4) 28 675 (5.0) 94 553 (5.9)EUR LONDON, GB STN 1 721 106 (3.1) 21 191 2.2 13 830 (6.7) 16 141 351 (6.6) 192 820 9.7 133 222 (7.4) 18 820 566 (6.0) 231 568 9.4 157 191 (6.8)

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PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

EUR LONGYEARBYEN, NO LYR 8 125 13.4 51 (3.8) 422 (14.4) 113 614 (3.7) 696 5.1 5 714 (2.5) 125 017 (3.7) 791 4.3 6 460 (5.9)EUR LORIENT, FR LRT 14 939 (2.0) ***** ***** 409 (0.7) 149 205 (5.9) ***** ***** 4 069 (5.2) 176 867 (6.8) ***** ***** 4 855 (4.6)EUR LUGANO, CH LUG 15 415 (1.5) 6 (14.3) 1 847 (14.2) 144 625 3.2 53 1.9 18 407 (16.2) 171 601 2.8 65 1.6 21 513 (15.4)EUR LULEÅ, SE LLA 94 917 6.7 143 (41.4) 1 542 (8.9) 819 049 0.9 1 067 (23.8) 14 944 (3.2) 978 576 1.6 1 368 (18.5) 17 452 (3.2)EUR LUXEMBOURG, LU LUX 155 647 11.0 64 379 11.2 7 352 1.7 1 392 765 4.7 583 115 15.6 70 685 (0.6) 1 610 335 4.4 707 344 12.7 81 187 (0.5)EUR LYON, FR LYN 1 216 18.3 ***** ***** 5 735 1.1 10 098 19.7 ***** ***** 58 968 (2.3)EUR LYON, FR LYS 726 892 7.4 2 930 (2.4) 10 315 (4.2) 6 768 801 2.8 29 870 13.6 100 409 (4.0) 7 899 768 2.4 36 191 14.2 119 274 (3.8)EUR MAASTRICHT, NL MST 31 807 85.0 5 650 7.8 1 852 4.1 241 296 52.6 50 025 16.6 18 003 (5.0) 256 506 42.0 60 457 21.1 20 972 (3.1)EUR MADRID, ES MAD 4 462 941 5.4 37 475 11.2 37 795 1.1 42 299 823 3.3 323 653 23.3 364 747 (0.1) 49 732 288 3.4 392 650 21.8 434 959 (0.0)EUR MADRID, ES MCV 57 159.1 ***** ***** 3 978 (15.4) 274 27.4 ***** ***** 39 045 (20.9) 280 5.7 ***** ***** 44 760 (19.4)EUR MADRID, ES TOJ 2 130 (4.5) ***** ***** 1 101 12.2 22 198 2.7 ***** ***** 10 448 6.0 26 602 0.6 ***** ***** 12 479 4.3EUR MALAGA, ES AGP 1 276 910 16.0 305 (4.5) 10 211 8.1 10 719 944 3.8 2 767 (11.9) 92 693 2.3 11 996 444 3.0 3 286 (15.2) 105 650 0.9EUR MALMO, SE MMX 153 473 6.0 2 933 15.0 3 302 5.4 1 358 528 3.1 26 677 13.9 31 427 6.2 1 612 637 3.1 31 640 12.5 36 582 6.3EUR MALTA, MT MLA 333 014 18.4 1 574 (6.9) 3 232 13.2 2 926 544 13.0 13 865 (1.7) 28 449 8.4 3 266 016 12.0 17 323 0.3 32 265 7.9EUR MANCHESTER, GB MAN 1 648 189 2.0 10 933 4.2 14 584 (1.8) 15 590 039 (6.1) 96 286 15.2 135 959 (9.2) 17 834 169 (6.9) 116 228 11.2 158 688 (10.1)EUR MARIBOR, SI MBX 210 (3.7) 29 § 274 (29.4) 20 326 § ***** ***** 3 190 (20.5) 21 229 § ***** ***** 3 638 (15.5)EUR MARSEILLE, FR MRS 667 415 3.9 4 931 (9.2) 10 362 (3.0) 6 403 965 3.0 49 410 4.4 103 620 (0.3) 7 479 527 3.6 59 982 5.8 122 335 0.5EUR MELILLA, ES MLN 24 491 2.6 30 (2.5) 800 3.1 240 826 0.8 293 (0.9) 7 520 (3.6) 289 467 1.1 354 (1.8) 8 968 (5.4)EUR MENORCA, ES MAH 171 354 3.3 197 (10.8) 2 154 2.3 2 370 324 3.8 2 213 (7.0) 25 867 0.8 2 516 181 3.7 2 560 (7.7) 28 382 (0.4)EUR METZ, FR ETZ 25 935 1.7 7 n.a. 676 (7.4) 227 666 (3.5) ***** ***** 6 437 (4.5) 254 671 (5.0) ***** ***** 7 529 (3.7)EUR MILAN, IT BGY 684 338 11.4 9 827 6.5 5 873 7.3 6 557 931 7.8 86 345 5.4 57 300 3.9 7 632 321 8.3 103 979 4.1 67 478 4.0EUR MILAN, IT LIN 760 252 8.7 1 774 16.1 10 471 (0.3) 6 962 980 (1.8) 15 916 12.3 94 861 (8.7) 8 169 888 (1.1) 18 765 8.8 112 379 (7.4)EUR MILAN, IT MXP 1 652 014 11.0 41 284 17.0 16 883 6.2 16 175 776 7.7 354 026 28.9 162 827 2.5 18 714 086 6.9 423 398 28.3 193 174 1.9EUR MINSK, BY MSQ 111 605 32.8 808 48.1 1 010 21.2 1 109 930 24.5 6 709 5.6 9 223 17.9 1 247 569 21.4 8 047 2.4 10 738 15.8EUR MOLDE, NO MOL 39 837 8.0 224 62.6 835 (2.3) 327 494 14.5 1 751 29.2 7 732 8.2 393 938 17.0 1 906 19.2 9 200 10.8EUR MONACO, MC MCM 7 653 (4.7) ***** ***** 2 875 0.5 71 345 (3.9) ***** ***** 26 805 0.2 79 834 (4.9) ***** ***** 30 554 0.9EUR MONTICHIARI, IT VBS 12 832 (7.5) 2 009 11.2 1 031 11.9 158 642 (12.4) 17 203 (6.3) 9 758 (5.3)EUR MONTPELLIER, FR MPL 101 387 (4.2) 647 40.1 1 228 (6.8) 1 002 683 (4.7) 5 402 34.8 12 074 (4.5) 1 176 073 (4.7) 6 255 30.3 14 269 (4.5)EUR MOSCOW, RU DME 1 992 504 15.7 16 306 17.5 18 943 13.4 18 930 037 20.4 126 358 24.8 176 373 16.4 21 881 192 20.1 153 516 23.9 207 521 16.1EUR MOSCOW, RU SVO 1 754 487 31.5 13 463 12.7 16 370 19.1 16 452 632 32.1 115 624 25.2 154 154 16.4 18 759 274 28.8 141 595 25.4 180 332 14.2EUR MOSCOW, RU VKO 826 887 18.5 3 963 30.4 13 174 11.7 8 163 141 24.4 35 040 37.1 125 220 15.8 9 330 351 24.3 41 904 37.3 146 849 15.3EUR MOSTAR, BA OMO 1 879 § ***** ***** 58 41.5 16 514 § ***** ***** 492 76.3 16 573 § ***** ***** 522 42.2EUR MUENSTER, DE FMO 146 336 (1.3) 6 § 3 627 15.0 1 171 697 (2.9) 108 § 33 901 0.2 1 330 620 (3.3) 123 § 38 812 (1.2)EUR MUGLA, TR DLM 403 482 5.1 17 § 2 903 6.5 3 707 147 10.4 172 § 26 120 12.3 3 768 953 10.4 255 (40.0) 26 876 12.4EUR MUNICH, DE MUC 3 396 114 9.1 27 738 32.6 36 426 2.6 29 347 452 5.8 235 164 25.7 328 571 (2.2) 34 294 654 5.2 277 242 23.4 389 478 (2.6)EUR MURCIA, ES MJV 145 717 (7.1) ***** ***** 1 329 (6.9) 1 282 899 (14.2) 2 § 12 418 (12.9) 1 418 724 (15.1) 3 § 14 057 (15.0)EUR NANTES, FR NTE 282 286 25.7 772 10.4 4 806 3.7 2 651 638 15.3 6 881 2.7 47 640 5.5 3 002 878 14.7 8 135 (0.1) 55 078 5.5EUR NAPLES, IT NAP 530 451 5.5 291 (15.5) 5 588 (1.1) 4 838 348 4.6 2 830 (1.7) 54 910 (1.0) 5 543 027 5.4 3 414 1.5 63 458 (0.4)EUR NEWCASTLE, GB NCL 439 044 (1.2) 938 0.7 6 389 3.3 3 921 837 (4.9) 8 575 3.9 59 454 (3.5) 4 429 210 (5.8) 10 401 3.1 68 575 (4.2)EUR NICE, FR NCE 868 462 1.6 1 568 13.5 13 261 (0.9) 8 390 044 (2.9) 14 854 31.4 141 908 (1.0) 9 577 874 (2.9) 17 593 32.7 161 433 (1.3)EUR NIMES, FR FNI 17 453 18.0 ***** ***** 872 (26.1) 159 820 (1.4) ***** ***** 8 692 (11.1) 180 533 (1.5) ***** ***** 10 623 (11.3)EUR NORWICH, GB NWI 40 157 10.8 27 0.0 3 321 (2.1) 372 699 (1.4) 227 (21.5) 32 324 (10.9) 425 352 (3.5) 275 (18.6) 38 036 (11.1)EUR NOVOSIBIRSK, RU OVB 194 738 26.5 1 878 15.7 2 676 22.6 1 905 568 25.3 15 377 16.6 23 456 16.6 2 188 858 22.4 18 945 14.7 27 644 15.2EUR NUREMBERG, DE NUE 342 852 11.2 673 (1.9) 6 395 1.0 3 376 193 2.1 6 674 (2.1) 59 999 0.2 4 038 120 0.9 8 277 (0.5) 71 353 0.2EUR OHRID, MK OHD 3 917 61.5 ***** ***** 48 14.3 37 783 19.1 ***** ***** 548 (5.8) 42 709 23.3 ***** ***** 642 (3.3)EUR OLBIA, IT OLB 112 851 11.7 15 (14.8) 1 506 2.2 1 532 482 (2.1) 189 2.5 27 749 (2.2) 1 635 235 (2.9) 222 6.4 29 384 (2.6)EUR ORADEA, RO OMR 3 817 (2.7) ***** ***** 170 (2.3) 33 913 1.8 ***** ***** 1 519 (3.2) 39 673 (0.2) ***** ***** 1 797 (1.8)EUR ORNSKOLDSVIK, SE OER 9 258 0.2 ***** ***** 424 13.7 72 972 (6.4) ***** ***** 3 071 (8.5) 89 092 (11.0) ***** ***** 3 668 (7.8)EUR OSLO, NO OSL 1 820 662 8.4 6 173 (1.6) 20 628 2.9 16 125 274 5.0 59 220 (8.9) 185 458 0.3 18 861 965 4.9 71 947 (8.3) 220 128 0.1EUR OSTEND, BE OST 13 066 24.1 5 547 (0.3) 3 805 9.5 161 936 7.0 51 542 (11.6) 33 839 2.7 174 290 5.5 67 415 (11.6) 38 232 2.7

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PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

EUR OSTERSUND, SE OSD 35 335 11.7 7 0.0 760 (8.9) 302 796 11.7 65 1.6 7 892 13.9 362 525 13.7 78 1.3 9 342 18.3EUR OSTRAVA, CZ OSR 15 565 (4.6) 129 (18.5) 1 236 1.0 264 597 (8.3) 1 651 12.5 12 071 (12.7) 281 218 (8.5) 1 910 12.5 13 670 (12.6)EUR PALANGA, LT PLQ 8 432 (6.1) 9 n.a. 239 (21.1) 88 544 (3.5) ***** ***** 2 797 3.9 101 992 (1.9) ***** ***** 3 323 10.4EUR PALERMO, IT PMO 371 450 4.8 240 (13.7) 4 111 (1.6) 3 734 487 (1.8) 2 398 (12.8) 41 710 (7.0) 4 303 983 (1.7) 2 923 (16.9) 48 817 (6.2)EUR PALMA DE MALLORCA, ES PMI 2 053 877 3.8 1 631 (4.1) 17 007 1.9 19 583 607 (0.0) 15 781 0.4 158 194 (1.2) 21 195 049 (0.2) 18 580 (2.2) 175 633 (1.6)EUR PAMPLONA, ES PNA 28 456 (3.0) 5 9.7 1 065 3.6 245 460 (12.9) 35 1.9 9 106 (10.6) 290 912 (13.4) 45 7.9 10 605 (10.7)EUR PAPHOS, CY PFO 201 906 8.8 15 § 1 952 (8.7) 1 500 177 1.6 340 (6.8) 16 336 (2.3) 1 664 636 0.5 419 (27.0) 18 653 (2.0)EUR PARIS, FR CDG 5 261 741 3.8 198 500 22.5 43 715 (2.9) 49 422 146 0.4 1 799 390 21.4 421 674 (5.2) 58 113 626 0.0 2 136 446 18.2 502 094 (5.3)EUR PARIS, FR ORY 2 156 810 7.2 8 300 (2.5) 18 479 0.8 21 306 195 0.1 79 660 7.4 184 099 (2.6) 25 128 197 (0.1) 96 560 8.6 219 078 (2.4)EUR PARMA, IT PMF 20 434 (0.9) ***** ***** 873 (5.0) 214 615 (0.6) ***** ***** 8 479 (4.5) 250 480 (2.2) ***** ***** 9 954 (2.5)EUR PAU, FR PUF 62 767 (2.4) 143 (18.8) 4 151 (10.7) 558 407 (4.3) 1 651 5.7 41 929 (2.8) 665 678 (5.4) 2 042 (2.2) 49 749 (1.3)EUR PERPIGNAN, FR PGF 28 515 (14.3) ***** ***** 2 604 (28.7) 323 298 (15.4) ***** ***** 30 457 (8.5) 366 047 (15.9) ***** ***** 35 909 (7.6)EUR PISA, IT PSA 405 533 11.6 591 6.6 3 704 5.8 3 605 845 1.3 5 718 16.2 34 739 0.1 4 056 658 0.7 6 801 8.3 39 503 (0.7)EUR PODGORICA, ME TGD 57 054 42.5 61 (43.9) 608 10.9 554 693 46.7 1 666 106.0 5 840 29.8 626 805 41.5 2 317 131.5 6 838 27.8EUR PONTA DELGADA, PT PDL 72 013 9.6 543 (11.2) 1 084 (3.0) 825 367 4.5 6 150 (2.2) 11 480 (1.2) 932 059 4.1 7 385 (1.3) 13 315 1.0EUR PORTO SANTO, PT PXO 6 711 (24.0) 22 (8.2) 343 (9.5) 94 316 (12.3) 283 11.6 4 240 13.2 106 920 (10.2) 336 13.2 4 990 16.5EUR PORTO, PT OPO 460 681 18.6 2 493 (0.1) 4 896 10.5 4 459 288 17.3 24 339 8.8 47 810 5.1 5 167 571 16.9 29 779 10.5 56 409 3.7EUR PRAGUE, CZ PRG 1 083 435 7.0 5 889 38.7 14 069 0.8 10 021 110 0.4 46 986 38.1 133 601 (4.5) 11 681 069 1.0 55 430 33.9 157 561 (4.4)EUR PRESTWICK, GB PIK 177 478 16.6 1 186 1.6 2 826 (4.3) 1 521 566 (4.1) 10 122 (13.3) 29 194 (2.0) 1 741 583 (8.2) 11 874 (16.0) 33 503 (7.7)EUR PRISTINA, CS PRN 104 603 11.8 165 0.7 591 20.4 1 114 511 9.5 1 134 (9.3) 5 506 8.7 1 290 323 9.3 1 445 (5.4) 6 415 9.3EUR PULA, HR PUY 11 129 (6.0) 1 (8.0) 1 246 (14.3) 353 964 4.8 12 (6.1) 7 196 (16.8) 357 403 4.5 ***** ***** 7 495 (16.4)EUR QUIMPER, FR UIP 8 763 (6.7) ***** ***** 184 (5.2) 89 690 (6.3) ***** ***** 2 006 (0.9) 111 487 (1.5) ***** ***** 2 410 0.6EUR RENNES, FR RNS 36 658 4.1 958 (5.9) 5 845 16.7 353 271 (5.7) 8 915 (11.5) 56 638 7.5 410 839 (6.0) 10 805 (11.2) 63 271 2.3EUR REUS, ES REU 144 656 (7.1) 82 § 2 485 (1.5) 1 353 047 (16.6) ***** ***** 23 793 (14.0) 1 423 113 (17.8) ***** ***** 27 072 (13.9)EUR RIGA, LV RIX 428 898 14.3 1 285 44.7 5 864 10.2 4 017 283 16.7 9 991 35.6 58 000 14.9 4 642 705 16.3 12 056 36.6 67 598 12.8EUR ROEROS, NO RRS 1 398 4.3 10 § 274 (4.9) 13 119 21.7 95 n.a. 3 657 19.7 15 609 24.6 95 n.a. 3 966 19.2EUR ROME, IT CIA 413 434 (1.1) 1 659 9.7 4 724 (5.6) 3 793 908 (5.9) 14 543 4.4 45 687 (6.0) 4 518 757 (4.2) 17 587 4.9 54 669 (3.9)EUR ROME, IT FCO 3 395 721 11.5 15 322 10.4 29 272 5.8 30 901 575 7.5 136 926 22.4 278 036 1.3 35 888 188 7.9 163 871 22.6 328 038 1.8EUR RONNEBY, SE RNB 21 491 10.5 ***** ***** 815 (1.1) 170 286 9.4 ***** ***** 8 274 17.1 206 096 9.2 ***** ***** 9 725 19.3EUR ROSTOCK, DE RLG 23 770 16.9 5 § 2 475 § 166 178 36.0 1 079 § 18 039 142.4 184 152 39.1 1 134 § 18 659 136.5EUR ROSTOV, RU ROV 132 642 25.7 492 20.0 1 818 15.6 1 227 817 27.4 4 314 (7.3) 15 287 8.3 1 402 385 25.0 5 302 (8.6) 18 076 8.2EUR ROTTERDAM, NL RTM 98 062 5.9 ***** ***** 4 899 5.9 902 097 2.1 ***** ***** 46 895 0.5 1 010 132 1.6 ***** ***** 53 145 (0.7)EUR SAARBRUECKEN, DE SCN 56 231 17.1 6 § 1 781 20.7 441 474 8.2 ***** ***** 14 449 6.7 503 530 8.4 ***** ***** 16 605 6.5EUR SABADELL, ES QSA ***** ***** ***** ***** 3 226 (16.7) ***** ***** ***** ***** 32 533 (14.4) ***** ***** ***** ***** 38 424 (14.1)EUR SAINT-ETIENNE, FR EBU 6 609 147.3 ***** ***** 110 83.3 48 767 § ***** ***** 2 375 § 54 392 193.9 ***** ***** 2 524 §EUR SAINT-NAZAIRE, FR SNR 1 230 (37.1) 1 584 (3.6) 296 (17.5) 12 624 (10.1) 14 659 (5.2) 3 286 (2.6) 15 605 (5.1) 17 312 (4.6) 3 822 (5.2)EUR SALAMANCA, ES SLM 2 914 23.1 ***** ***** 1 061 (5.7) 38 854 (21.5) ***** ***** 10 961 (7.0) 42 217 (21.6) ***** ***** 12 013 (7.7)EUR SALZBURG, AT SZG 107 410 22.3 12 (7.1) 4 724 1.8 1 425 217 5.9 117 (19.9) 50 569 (8.9) 1 631 706 7.1 145 (24.1) 59 847 (6.8)EUR SAMARA, RU KUF 140 868 18.5 439 58.3 1 724 8.3 1 342 398 22.0 3 161 26.3 15 572 3.5 1 548 391 21.0 3 773 21.3 18 354 2.0EUR SAN SEBASTIAN, ES EAS 26 598 1.5 2 (7.4) 853 (2.6) 237 795 (10.4) 17 (16.3) 8 409 (1.4) 279 620 (12.5) 28 (48.1) 9 622 (4.4)EUR SANDEFJORD, NO TRF 145 257 (14.3) ***** ***** 3 158 50.5 1 325 868 (12.1) ***** ***** 33 836 52.4 1 582 077 (9.1) ***** ***** 38 001 47.7EUR SANTA MARIA, PT SMA 8 186 26.1 17 (18.0) 252 (1.6) 74 538 (7.2) 267 37.5 2 800 (9.2) 87 597 (8.5) 304 29.7 3 344 (8.8)EUR SANTANDER, ES SDR 94 530 16.0 ***** ***** 1 435 (0.1) 795 873 (4.2) ***** ***** 14 462 (11.5) 922 629 (4.6) ***** ***** 16 878 (12.0)EUR SANTIAGO DE COMPOSTELA, ES SCQ 201 984 26.3 181 (6.9) 1 845 12.8 1 827 603 9.8 1 839 (2.9) 17 806 3.3 2 104 416 8.3 2 270 (2.3) 20 724 2.1EUR SARAJEVO, BA SJJ 51 137 9.3 194 (3.5) 580 (4.6) 488 174 6.5 1 727 (5.0) 5 728 (2.2) 563 647 7.0 2 145 (4.7) 6 783 (1.0)EUR SATU MARE, RO SUJ 1 959 44.6 ***** ***** 127 7.6 15 558 72.3 3 n.a. 907 (0.8) 17 630 71.5 3 n.a. 1 029 (8.1)EUR SEVILLA, ES SVQ 379 054 7.8 477 4.0 4 627 (5.3) 3 540 168 2.5 5 018 6.1 45 528 (2.9) 4 135 914 2.9 5 910 6.0 54 253 (3.5)EUR SHANNON, IE SNN 125 358 (36.2) 2 070 31.5 2 235 (22.4) 1 348 980 (40.9) 16 062 2.8 23 290 (23.6) 1 663 379 (39.1) 19 248 (4.6) 27 785 (24.0)EUR SIBIU, RO SBZ 14 861 (17.3) 7 § 522 (13.6) 201 538 5.3 41 § 5 767 (2.6) 231 450 5.3 47 § 6 830 (1.7)EUR SKELLEFTEÅ, SE SFT 22 613 13.2 ***** ***** 388 (32.4) 185 293 8.1 ***** ***** 4 701 (18.7) 219 545 6.4 ***** ***** 5 457 (17.2)

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PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

EUR SKOPJE, MK SKP 59 253 20.0 207 20.9 1 044 (0.4) 586 285 13.6 1 786 (7.1) 10 298 (0.3) 672 296 11.3 2 188 (8.0) 12 083 (0.9)EUR SOFIA, BG SOF 284 546 13.6 1 435 12.6 4 250 11.3 2 815 085 5.3 12 210 (0.6) 39 553 2.5 3 276 069 4.2 15 022 (3.0) 46 647 1.4EUR SON BONET, ES SBO ***** ***** ***** ***** 963 (4.1) ***** ***** ***** ***** 11 708 0.2 ***** ***** ***** ***** 13 144 2.1EUR SOUTHAMPTON, GB SOU 156 754 1.0 16 (17.6) 4 059 4.2 1 514 966 (1.7) 92 (46.2) 39 355 1.1 1 764 862 (2.1) 131 (33.8) 45 927 0.2EUR SOUTHEND, GB SEN ***** ***** 36 (49.7) 2 342 (24.1) ***** ***** 449 27.9 27 735 (15.2) ***** ***** 535 25.5 31 432 (15.2)EUR SPLIT, HR SPU 87 447 14.0 54 (6.0) 1 339 131.7 1 155 521 10.2 620 (13.2) 15 911 118.3 1 213 787 9.3 725 (14.1) 16 400 108.8EUR STAVANGER, NO SVG 336 069 4.5 452 (1.8) 6 971 (1.3) 2 893 417 0.5 4 073 (14.5) 66 461 (2.3) 3 438 848 0.5 4 972 (19.8) 78 422 (2.6)EUR STOCKHOLM, SE ARN 1 603 944 11.4 9 576 15.6 18 316 4.5 14 205 578 4.4 82 910 19.6 158 958 (1.9) 16 695 088 3.4 98 262 12.8 189 481 (2.6)EUR STOCKHOLM, SE BMA 214 719 6.2 25 13.6 6 529 11.5 1 692 806 3.3 212 12.2 55 001 1.4 2 057 685 4.8 248 9.3 64 590 1.8EUR STOKMARKNES, NO SKN 10 739 1.8 3 (31.6) 517 (2.5) 87 374 (5.4) 38 (14.8) 4 984 (3.1) 106 069 (3.1) 47 (13.8) 5 989 (2.4)EUR STRASBOURG, FR SXB 104 326 2.5 283 (11.3) 3 101 (4.9) 884 577 (5.2) 2 583 (1.6) 29 734 (5.5) 1 060 804 (6.1) 3 115 (1.1) 35 347 (5.2)EUR STUTTGART, DE STR 938 078 7.8 2 613 41.2 13 027 (0.5) 7 950 580 2.7 25 039 24.3 118 564 (4.4) 9 144 251 1.3 29 175 18.3 139 419 (4.7)EUR SUNDSVALL, SE SDL 27 715 5.2 185 3.9 872 (26.2) 217 451 1.4 1 775 (3.0) 8 995 (11.1) 259 996 1.1 2 169 (3.0) 10 915 (7.8)EUR TALLINN, EE TLL 131 735 11.6 1 143 § 2 919 2.0 1 178 812 2.0 10 023 (40.1) 28 664 3.7 1 373 341 (1.2) 14 289 (32.5) 33 596 1.9EUR TARANTO, IT TAR 44 12.8 134 10.3 25 (21.9) 428 (4.0) ***** ***** 284 (11.3) 510 6.0 ***** ***** 356 1.1EUR TARGU MURES, RO TGM 6 370 § ***** ***** 184 46.0EUR TBILISI, GE TBS 79 535 22.7 ***** ***** 1 548 18.9 694 018 16.8 ***** ***** 13 434 17.3 802 519 15.6 ***** ***** 15 830 16.9EUR TEESIDE, GB MME 20 374 (12.9) ***** ***** 1 805 0.0 198 586 (24.5) ***** ***** 18 420 (18.3) 224 919 (30.2) ***** ***** 21 080 (22.0)EUR TENERIFE, ES TFN 368 259 5.5 1 800 (0.9) 5 301 (1.8) 3 419 195 0.8 14 725 (14.5) 52 032 (0.5) 4 078 079 0.8 18 117 (14.5) 62 534 (0.7)EUR TENERIFE, ES TFS 684 004 12.3 382 (17.5) 4 560 8.7 5 969 318 2.9 3 690 (23.4) 42 296 4.9 7 246 212 1.4 4 571 (26.9) 51 741 3.3EUR TIMISOARA, RO TSR 97 798 12.8 171 25.1 2 203 3.9 961 887 18.0 1 249 1.8 21 808 4.2 1 111 598 17.5 1 447 2.5 25 610 3.3EUR TIRANA, AL TIA 110 346 0.5 225 2.5 1 632 (0.4) 1 311 571 11.8 1 897 3.8 17 818 5.4 1 533 060 12.2 2 335 3.5 19 401 5.6EUR TIVAT, ME TIV 22 230 1.5 1 (24.3) 233 (4.9) 520 942 1.9 19 (9.8) 3 767 (5.3) 541 867 0.3 20 (25.0) 4 015 (6.7)EUR TOULON, FR TLN 45 777 (9.1) ***** ***** 764 (0.7) 442 818 (13.4) ***** ***** 8 410 0.8 508 133 (12.1) ***** ***** 9 319 1.6EUR TOULOUSE, FR TLS 572 467 3.7 4 636 (10.6) 8 187 2.4 5 366 116 1.5 43 679 (6.0) 77 193 0.6 6 359 368 1.6 52 240 (5.6) 91 603 0.3EUR TRABZON, TR TZX 161 320 22.7 232 50.6 1 570 23.8 1 638 882 23.7 1 851 31.1 14 740 20.6 1 916 016 23.5 2 152 28.4 17 414 20.7EUR TRIESTE, IT TRS 78 097 26.7 26 (38.1) 1 732 19.5 606 404 0.5 115 (25.8) 12 274 (8.3) 699 489 0.3 164 (6.3) 14 277 (10.9)EUR TROMSOE, NO TOS 147 336 0.9 220 (20.1) 3 331 (3.8) 1 397 446 1.0 2 197 (14.4) 33 044 1.2 1 643 496 1.3 2 724 (11.7) 39 162 1.5EUR TRONDHEIM, NO TRD 356 366 5.5 332 (39.2) 5 092 3.1 2 945 295 2.3 4 692 (9.9) 46 159 0.6 3 489 971 2.6 5 654 (10.1) 54 530 0.5EUR TURIN, IT TRN 303 985 16.0 82 (4.4) 4 976 2.2 3 005 208 10.0 995 (31.4) 46 087 (5.0) 3 493 841 9.4 1 184 (36.1) 54 012 (5.5)EUR UMEÅ, SE UME 87 640 7.0 439 (2.7) 1 892 (6.1) 695 099 2.2 3 819 (14.2) 17 699 (2.8) 837 387 3.3 4 779 (12.5) 20 618 (2.1)EUR VALENCIA, ES VLC 430 578 4.7 1 003 13.8 6 685 (2.8) 4 212 435 2.7 9 466 19.2 65 386 (5.9) 4 852 295 2.9 11 328 19.0 77 046 (6.3)EUR VALLADOLID, ES VLL 45 440 18.4 8 § 1 008 27.1 343 493 9.2 21 § 7 845 (5.5) 387 206 8.1 22 § 8 781 (9.2)EUR VARNA, BG VAR 49 798 (3.2) 8 42.5 721 (8.8) 1 179 259 0.5 64 (16.7) 11 711 (0.8) 1 226 011 0.6 74 (17.4) 12 599 (1.0)EUR VATRY, FR XCR 4 451 § 508 36.6 802 13.3 18 138 § 6 005 § 9 347 4.0 18 372 § 7 094 § 10 433 (1.3)EUR VENICE, IT VCE 666 734 4.6 3 232 6.0 6 958 3.8 5 967 606 2.9 31 228 16.9 64 253 (1.4) 6 869 555 3.5 37 050 15.9 74 905 (1.1)EUR VERONA, IT VRN 215 948 (0.7) 399 (38.7) 3 020 1.8 2 665 869 (2.9) 4 211 (21.5) 31 988 (3.1) 2 987 542 (2.0) 5 178 (18.2) 36 893 (2.3)EUR VIENNA, AT VIE 1 828 204 11.4 20 494 0.0 23 616 4.8 16 698 832 8.6 192 635 23.0 223 103 1.4 19 439 793 7.3 234 485 24.5 264 778 0.6EUR VIGO, ES VGO 100 781 11.2 87 2.9 1 323 8.1 931 006 (1.0) 716 10.9 12 624 (6.0) 1 094 160 (1.0) 868 13.9 14 894 (5.8)EUR VILNIUS, LT VNO 111 813 (5.7) 498 21.2 2 098 10.2 1 222 818 9.0 4 270 24.2 22 306 17.7 1 408 808 3.8 5 168 16.7 25 793 9.5EUR VISBY, SE VBY 26 959 3.7 66 (14.3) 1 746 23.3 262 502 (0.4) 716 (7.9) 18 139 3.5 303 586 (1.4) 882 (5.7) 20 536 1.6EUR VITORIA, ES VIT 1 839 § 2 203 (9.4) 445 § 37 450 5.4 22 740 1.7 5 764 (31.4) 40 721 (5.0) 27 758 1.6 6 849 (31.8)EUR WARSAW, PL WAW 788 599 9.1 5 066 9.8 12 636 8.6 7 490 135 4.5 46 444 14.4 117 084 2.2 8 642 265 3.9 55 996 13.5 138 110 1.9EUR WROCLAW, PL WRO 150 457 31.8 83 (4.6) 2 265 20.9 1 421 349 22.3 784 (9.3) 20 312 1.0 1 605 625 18.4 951 (9.1) 23 693 (1.4)EUR YEREVAN, AM EVN 138 792 9.4 747 14.3 1 753 10.4 1 353 256 11.7 6 956 0.1 16 354 14.4 1 584 989 9.1 8 329 (4.6) 19 458 14.4EUR ZADAR, HR ZAD 30 187 46.2 ***** ***** 274 14.6 272 113 29.9 ***** ***** 3 135 4.7 277 831 28.6 ***** ***** 3 328 2.6EUR ZAGREB, HR ZAG 187 579 7.3 728 (16.3) 3 518 (0.5) 1 777 847 (0.3) 7 456 (14.1) 34 008 (1.8) 2 057 416 (1.9) 9 252 (12.1) 40 062 (2.6)EUR ZARAGOZA, ES ZAZ 54 359 33.8 3 849 (7.3) 1 179 19.0 501 101 10.2 35 546 17.2 10 723 (2.9) 573 444 8.3 42 144 22.2 12 434 (3.2)EUR ZURICH, CH ZRH 2 234 001 8.2 27 529 13.1 24 234 4.9 19 331 694 4.7 269 415 17.3 226 545 2.7 22 744 811 4.8 322 728 16.2 268 058 2.6

- 17 - Notes/definitions on page 25

Page 19: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

LAC ACAPULCO, MX ACA 42 001 (19.5) 33 (2.9) 1 664 (9.3) 628 188 (11.9) 445 (13.6) 21 401 (0.6) 761 345 (14.5) 561 (13.1) 26 547 (0.0)LAC AGUASCALIENTES, MX AGU 23 909 1.2 39 55.7 926 1.5 239 556 3.2 316 17.3 10 170 12.5 285 878 0.4 369 16.4 12 008 11.9LAC ANTOFAGASTA, CL ANF 112 711 27.6 390 (1.3) 2 253 (23.7) 953 419 31.5 3 499 2.6 22 922 8.6 1 129 017 31.3 4 222 (4.9) 28 038 13.2LAC ARACATUBA, BR ARU 7 906 44.1 ***** ***** 1 191 55.5 69 184 47.8 7 § 9 426 12.6 79 554 41.1 12 § 10 925 9.8LAC ARARAQUARA, BR AQA 1 149 0.0 36 (4.7) 1 089 16.8 12 246 16.5 385 3.0 9 362 11.2 14 571 18.3 460 2.7 10 926 10.6LAC ARICA, CL ARI 33 030 11.7 143 (36.7) 669 8.8 299 050 8.7 1 451 (14.3) 5 759 (2.7) 356 910 8.6 1 786 (9.8) 6 930 (2.2)LAC ARUBA, AW AUA 165 398 11.8 ***** ***** 3 200 (1.8) 1 651 167 3.4 ***** ***** 31 746 0.8 1 977 707 3.3 ***** ***** 38 599 1.3LAC ASSIS, BR AIF 811 (9.8) ***** ***** 385 (27.2) 9 853 20.2 ***** ***** 4 471 (4.6) 11 612 23.4 ***** ***** 5 218 (2.2)LAC AVARE, BR QVP 97 (49.7) ***** ***** 144 (29.4) 907 (30.6) ***** ***** 1 045 (21.8) 1 096 (29.9) ***** ***** 1 282 (20.3)LAC BARRANQUILLA, CO BAQ 152 223 17.7 2 294 (1.4) 3 360 13.7 1 419 429 36.3 22 271 3.1 33 221 12.0 1 685 479 35.5 27 339 0.7 39 736 10.5LAC BARRETOS, BR BAT 179 (47.5) ***** ***** 141 (29.9) 3 568 2.9 ***** ***** 1 817 (9.0) 4 103 4.6 ***** ***** 2 130 (4.6)LAC BAURU, BR BAU 793 (10.5) ***** ***** 1 742 (38.1) 9 582 6.7 ***** ***** 19 315 (25.7) 11 323 6.4 ***** ***** 23 727 (24.8)LAC BELÉM, BR BEL 267 009 16.9 1 733 (14.5) 4 175 19.6 2 326 375 14.6 15 936 (7.0) 36 849 12.4 2 774 425 14.1 19 879 (4.2) 43 900 11.1LAC BELO HORIZONTE, BR CNF 712 341 17.8 1 237 (4.3) 7 423 17.2 6 231 583 31.4 11 498 (18.8) 68 821 19.7 7 355 600 33.2 14 173 (18.7) 81 460 19.4LAC BERMUDA, BM BDA 69 396 14.7 494 6.4 966 17.1 689 240 (0.1) 4 582 (1.9) 10 753 2.6 805 256 0.3 5 574 0.4 12 351 2.5LAC BOA VISTA., BR BVB 20 792 34.8 128 (5.9) 1 310 60.0 187 399 23.2 1 146 10.2 10 791 17.0 220 507 18.7 1 409 9.5 12 700 18.2LAC BOGOTA, CO BOG 1 689 004 21.2 46 844 6.0 20 272 10.7 15 452 190 29.5 436 848 20.4 200 396 16.7 18 314 184 n.a. 524 253 n.a. 238 149 n.a.LAC BONAIRE, AN BON 41 768 10.9 55 77.4 1 737 (8.5) 382 521 0.8 551 61.1 16 746 (4.6) 453 655 (0.6) 626 51.6 20 185 (1.6)LAC BOTUCATU, BR QCJ 86 § ***** ***** 141 (23.4) 661 (31.0) ***** ***** 1 525 (5.4) 769 (37.6) ***** ***** 1 853 (3.0)LAC BRAGANCA PAULISTA, BR BJP 4 130 55.7 ***** ***** 3 445 41.7 38 956 35.9 ***** ***** 30 429 6.9 44 470 31.4 ***** ***** 34 903 5.2LAC BRASILIA, BR BSB 1 283 793 4.8 3 345 (19.7) 15 047 6.5 11 978 692 16.1 29 337 (29.4) 145 376 7.9 14 303 906 17.2 38 149 (24.9) 173 003 8.3LAC BRIDGETOWN, BB BGI 133 152 (0.2) 2 071 19.6 2 522 2.1 1 603 986 2.7 17 195 2.2 28 946 1.6 1 976 091 1.9 21 437 2.2 35 124 0.2LAC BUENOS AIRES, AR AEP 788 502 21.6 1 678 10.0 10 100 25.3 6 772 851 31.0 17 155 59.8 93 952 25.6 8 053 939 29.3 20 119 53.5 110 843 22.7LAC BUENOS AIRES, AR EZE 716 815 4.5 21 165 21.0 4 914 (5.8) 6 917 992 7.3 168 647 35.7 50 947 (9.4) 8 379 084 8.3 207 218 31.9 62 229 (8.0)LAC CAMPINAS, BR VCP 527 554 38.3 22 148 13.4 6 600 23.5 4 496 224 63.7 211 008 39.6 60 718 37.6 5 292 365 79.9 244 576 35.4 71 838 45.8LAC CAMPO GRANDE, BR CGR 143 327 14.7 365 (19.7) 2 723 5.0 1 140 327 13.3 3 293 (14.0) 25 954 11.2 1 373 858 16.8 4 062 (12.7) 30 771 11.7LAC CANCUN, MX CUN 751 912 10.7 2 319 68.0 7 100 (5.5) 10 580 857 12.7 22 106 69.6 101 009 10.2 12 524 498 9.7 25 457 57.2 120 283 8.7LAC CARACAS, VE CCS 763 749 (1.7) 6 430 (11.2) 11 515 (11.2) 7 351 126 2.8 66 347 35.8 115 998 (3.7) 8 970 602 2.4 78 848 25.5 140 646 (4.2)LAC CATAMARCA, AR CTC 2 930 (33.2) 5 § 95 § 26 556 (23.0) 45 (19.5) 844 § 33 269 (20.1) 50 (30.4) 1 095 §LAC CHIHUAHA, MX CUU 71 182 5.9 426 22.0 3 166 8.3 725 467 11.7 4 220 42.1 30 030 7.9 848 007 8.9 4 954 38.4 35 837 7.4LAC CIUDAD JUAREZ, MX CJS 54 493 7.3 219 (29.0) 1 309 0.8 548 975 (0.0) 2 385 20.5 13 371 3.8 646 210 (3.3) 2 883 20.1 15 598 0.1LAC COMODORO RIVADIVA, AR CRD 36 646 7.5 78 23.7 851 16.7 329 218 22.0 1 020 40.6 8 220 0.2 397 747 26.0 1 163 0.4 9 718 (0.3)LAC CORDOBA, AR COR 135 773 7.9 192 (4.1) 1 809 4.3 1 162 125 14.2 1 741 (17.5) 16 970 8.6 1 395 627 17.1 2 141 (17.8) 20 261 11.0LAC CORUMBÁ, BR CMG 2 375 10.5 5 (48.0) 171 (25.3) 21 505 4.1 54 (28.0) 1 878 (15.7) 25 143 2.6 64 (22.6) 2 270 (12.8)LAC COZUMEL, MX CZM 18 994 (10.8) 6 § 951 (13.4) 381 993 (0.3) 70 § 12 889 (5.2) 446 637 (0.1) 93 § 15 559 (3.0)LAC CRUZEIRO DO SUL, BR CZS 9 388 13.5 38 6.3 592 24.9 90 607 17.1 577 10.6 5 494 31.7 108 357 17.3 711 14.8 6 508 30.9LAC CUIABA, BR CGB 199 124 19.4 767 59.0 4 735 13.8 1 823 030 30.0 6 249 2.7 44 634 20.3 2 162 743 31.2 7 166 (5.1) 52 584 19.7LAC CULIACAN, MX CUL 88 226 (6.7) 314 4.2 3 967 13.9 950 415 (0.5) 3 083 (1.0) 37 983 20.5 1 154 623 1.4 3 719 (2.6) 45 517 19.2LAC CURAÇAO, AN CUR 133 191 7.0 1 324 (0.6) 4 056 3.2 1 143 130 (4.9) 10 769 (0.4) 38 455 2.9LAC CURITIBA, BR CWB 589 609 5.1 2 560 12.6 7 426 1.9 5 230 640 19.7 20 309 12.4 72 174 12.4 6 241 155 22.3 24 843 15.8 87 970 15.8LAC DRACENA, BR QDC 60 25.0 ***** ***** 42 § 578 44.5 ***** ***** 596 (31.8) 688 50.2 ***** ***** 716 (21.2)LAC DURANGO, MX DGO 17 834 (0.8) 15 (10.4) 1 545 8.6 182 670 1.7 178 24.9 16 345 24.9 217 710 2.6 208 22.5 19 243 24.8LAC EASTER ISLAND, CL IPC 11 804 2.7 403 (4.0) 124 (3.9) 110 533 1.7 3 973 2.1 1 252 (1.8) 136 792 2.8 4 832 1.3 1 527 (4.6)LAC EL CALAFATE, AR FTE 43 916 (8.5) ***** ***** 601 (1.0) 379 203 7.3 ***** ***** 5 216 5.0 507 330 8.8 ***** ***** 6 730 3.7LAC ESQUEL, AR EQS 1 919 107.5 ***** ***** 78 (1.3) 18 942 31.7 ***** ***** 709 6.8 22 087 52.3 ***** ***** 861 17.8LAC FLORIANOPOLIS, BR FLN 244 472 12.7 676 20.4 3 617 11.8 2 305 890 26.4 5 397 (12.2) 35 428 7.7 2 757 977 25.8 6 545 (13.5) 42 320 6.2LAC FORMOSA, AR FMA 5 244 22.6 9 64.0 173 37.3 40 506 18.0 89 (21.0) 1 295 1.0 48 395 14.1 99 (34.4) 1 511 (5.1)LAC FORTALEZA, BR FOR 475 131 13.0 4 541 14.5 5 210 15.8 4 463 111 22.6 37 804 24.0 51 471 22.0 5 333 350 24.5 46 243 24.8 61 141 22.0LAC FORT-DE-FRANCE, MQ FDF 110 052 1.3 874 (20.9) 1 459 (20.0) 1 396 890 3.6 11 100 (2.8) 18 520 (13.0) 1 656 806 2.6 13 733 (2.7) 22 470 (13.2)LAC FOZ DO IGUAÇÚ, BR IGU 107 882 18.6 69 13.2 1 413 14.9 946 194 51.1 568 (3.8) 13 013 37.8 1 128 074 50.5 710 0.1 15 491 37.8

- 18 - Notes/definitions on page 25

Page 20: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

LAC FRANCA, BR FRC 321 32.1 ***** ***** 355 2.0 2 989 8.3 ***** ***** 4 536 25.7 3 370 (7.7) ***** ***** 5 073 26.2LAC GENERAL PICO, AR GPO 415 § ***** ***** 548 (1.6) 2 043 90.6 ***** ***** 5 483 23.5 2 174 84.9 ***** ***** 6 377 20.9LAC GUADALAJARA, MX GDL 537 851 (1.4) 12 020 14.6 10 213 (12.4) 5 863 796 9.6 107 615 41.1 113 569 4.9 7 022 210 8.2 130 154 40.6 137 005 5.4LAC GUAYAQUIL, EC GYE 313 180 6.1 5 972 22.4 6 778 8.4 2 986 868 5.8 48 525 5.4 58 575 (5.3) 3 546 307 6.3 58 096 4.6 70 736 (4.3)LAC HERMOSILLO, MX HMO 103 534 0.3 560 6.4 3 711 2.9 990 366 (4.9) 5 344 21.4 35 688 (3.2) 1 191 418 (4.1) 6 394 20.1 42 335 (3.9)LAC HUATULCO, MX HUX 20 489 (10.3) 1 § 434 (19.9) 324 425 0.5 228 (4.5) 5 578 (2.0) 391 574 0.5 287 (5.4) 6 838 (0.8)LAC IGUAZU, AR IGR 64 308 1.6 15 (31.9) 692 19.5 498 092 12.1 180 (5.3) 5 485 7.6 622 533 9.7 216 (13.7) 6 664 3.4LAC IQUIQUE, CL IQQ 81 695 26.7 1 493 131.5 3 005 (9.2) 685 164 22.4 16 325 147.1 28 322 6.9 812 657 23.4 18 499 95.8 33 390 9.6LAC JOAO PESSOA, BR JPA 78 840 34.0 242 56.8 1 114 71.1 760 735 63.6 1 909 17.8 8 699 38.7 893 306 63.4 2 212 11.5 10 260 35.9LAC JUJUY, AR JUJ 10 231 8.4 15 (21.1) 219 39.5 79 148 4.6 150 26.3 1 817 4.7 94 709 22.1 194 n.a. 2 147 19.8LAC JUNDIAI, BR QDV 1 778 2.1 81 § 6 387 (1.9) 17 791 2.6 ***** ***** 65 321 1.1 21 275 2.7 ***** ***** 77 520 6.0LAC KINGSTON, JM KIN 105 460 (0.6) 1 148 11.0 1 762 3.4 1 261 004 (6.6) 10 878 8.9 19 334 4.5 1 503 340 (7.1) 13 311 7.0 23 039 1.7LAC LA PAZ, MX LAP 43 735 (1.0) 215 18.5 1 528 (8.7) 471 398 13.3 1 895 12.0 17 211 10.1 570 976 15.2 2 318 14.2 20 739 11.1LAC LA RIOJA, AR IRJ 3 535 (13.5) 9 (19.7) 200 (13.0) 30 680 (9.4) 78 (1.4) 1 663 4.5 38 233 (6.0) 95 (2.2) 2 012 8.8LAC LA ROMANA, DO LRM 12 968 41.4 ***** ***** 801 16.4 222 104 (3.5) ***** ***** 9 512 (13.7) 270 561 (4.2) ***** ***** 11 842 (11.9)LAC LEON/GUANAJUATO, MX BJX 63 343 (10.6) 85 10.1 2 137 (10.8) 703 869 (3.1) 725 11.3 22 229 3.9 855 780 (3.1) 858 4.1 27 024 5.6LAC LIMA, PE LIM 963 005 24.0 26 848 5.2 10 694 16.6 8 470 213 16.4 216 509 17.9 99 754 15.3 9 982 208 15.5 265 239 15.8 118 232 14.9LAC LINS, BR LIP 290 (47.0) ***** ***** 136 (36.4) 4 070 (30.1) ***** ***** 1 936 (10.5) 4 829 (30.3) ***** ***** 2 477 (3.1)LAC LOS MOCHIS, MX LMM 20 751 (13.2) ***** ***** 1 310 (17.7) 214 335 20.7 ***** ***** 14 597 2.3 262 300 27.7 ***** ***** 17 904 6.2LAC MACAPÁ, BR MCP 47 118 13.7 271 (21.5) 1 213 19.0 434 423 13.4 2 680 (12.3) 11 319 13.9 519 623 12.4 3 471 (6.7) 13 436 11.2LAC MALARGUE, AR LGS 179 57.0 ***** ***** 36 80.0 8 445 24.9 ***** ***** 661 11.3 8 740 21.3 ***** ***** 726 5.8LAC MANAGUA, NI MGA 77 333 6.3 2 107 7.5 1 370 3.5 930 720 0.4 21 550 39.6 14 088 (4.0) 1 112 877 (0.3) 29 622 34.0 17 134 (0.6)LAC MANAUS, BR MAO 265 724 20.0 14 457 (16.9) 4 738 18.1 2 324 412 17.3 129 071 15.5 43 207 14.9 2 780 481 18.2 159 978 19.3 51 460 14.3LAC MANZANILLO, MX ZLO 7 641 (10.7) 7 18.0 494 20.5 128 703 (10.3) 68 22.4 5 916 11.5 157 527 (11.8) 80 22.8 7 073 6.8LAC MAR DEL PLATA, AR MDQ 9 302 41.1 9 54.8 520 65.1 109 661 28.0 222 168.4 5 129 3.2 134 823 30.4 234 143.0 6 197 (0.6)LAC MARILIA, BR MII 5 144 (43.3) 31 (26.9) 1 050 (7.5) 78 246 40.3 405 67.2 11 327 14.0 95 174 44.1 486 71.4 13 503 13.1LAC MAZATLAN, MX MZT 50 462 (3.3) 56 § 1 676 (20.9) 655 175 1.1 974 (18.5) 18 880 (2.0) 805 377 0.8 1 223 (17.9) 23 136 0.2LAC MENDOZA, AR MDZ 95 623 9.6 702 170.0 1 306 28.2 804 014 15.7 4 402 92.8 11 272 9.6 965 294 15.5 4 878 76.2 13 341 6.1LAC MERIDA, MX MID 90 710 0.3 1 633 13.8 2 187 (8.5) 957 851 10.2 15 324 11.8 26 168 11.6 1 172 501 9.5 18 409 12.9 31 268 11.7LAC MEXICALI, MX MXL 36 893 3.6 131 (4.8) 1 106 25.5 383 861 (0.9) 1 214 (17.0) 9 746 4.4 459 914 (3.3) 1 485 (17.5) 11 592 1.1LAC MEXICO CITY, MX MEX 1 936 059 (1.2) 37 884 18.9 26 256 (10.0) 20 116 365 (0.0) 325 009 24.5 285 848 (1.4) 24 388 153 (1.2) 388 824 21.6 344 018 (1.8)LAC MINATITLAN, MX MTT 9 270 (33.0) 27 (2.6) 889 51.4 108 456 (13.6) 256 (15.6) 5 870 2.6 133 980 (11.8) 319 (17.8) 7 057 3.7LAC MONTEGO BAY, JM MBJ 188 181 3.8 403 0.9 2 490 4.1 2 722 767 4.0 4 111 (3.6) 32 713 4.8 3 200 301 2.8 4 899 (2.0) 38 965 2.2LAC MONTERREY, MX MTY 462 033 6.1 4 424 8.6 7 456 (0.6) 4 560 477 2.6 41 027 53.1 76 219 7.1 5 410 744 (0.3) 48 426 48.7 90 282 4.1LAC MONTEVIDEO, UY MVD 158 311 24.8 2 500 8.5 2 655 3.5 1 358 470 27.0 22 151 15.5 24 870 20.8 1 615 959 27.0 27 284 15.5 29 682 21.3LAC MORELIA, MX MLM 29 889 (1.8) 5 (43.6) 1 462 11.3 362 478 (2.1) 65 (9.2) 12 471 0.1 438 135 (4.3) 80 (7.0) 15 067 (1.3)LAC NATAL, BR NAT 221 349 21.2 627 (4.7) 2 478 28.0 2 073 547 28.4 5 681 (0.6) 23 089 22.7 2 457 564 28.6 7 064 0.3 27 294 22.8LAC OAXACA, MX OAX 35 253 (19.5) 122 (4.7) 1 237 (15.2) 388 902 (13.4) 1 118 (8.1) 13 064 (6.5) 482 281 (14.5) 1 341 (14.0) 16 281 (4.2)LAC OURINHOS, BR OUS 124 (26.2) ***** ***** 144 (12.2) 1 572 34.8 ***** ***** 1 622 0.6 1 846 28.4 ***** ***** 1 969 3.1LAC PANAMA CITY, PA PTY 425 990 4.3 9 581 26.4 7 746 12.1 4 112 105 5.8 79 841 18.3 73 177 9.6 4 974 166 5.5 96 267 15.8 87 397 8.3LAC PARANA, AR PRA 925 (12.8) ***** ***** 382 10.1 7 677 (14.4) ***** ***** 3 874 10.7 9 458 (14.9) ***** ***** 4 429 0.3LAC PELOTAS, BR PET 992 35.0 2 78.3 282 16.5 7 473 16.7 12 10.5 2 737 (1.0) 8 883 12.3 19 22.3 3 216 (2.9)LAC PIRACICABA, BR QHB 150 § ***** ***** 334 (18.5) 6 585 10.1 ***** ***** 5 699 30.6 7 892 (4.2) ***** ***** 6 634 13.2LAC POINTE-A-PITRE, GP PTP 126 311 1.5 851 (26.6) 2 669 (4.3) 1 626 091 6.3 11 617 (9.2) 30 473 3.8 1 936 000 4.8 14 067 (9.0) 36 779 2.6LAC PONTA PORÃ, BR PMG 22 (26.7) ***** ***** 174 8.8 279 (25.8) ***** ***** 1 829 43.2 325 (23.2) ***** ***** 2 200 42.8LAC PORT OF SPAIN, TT POS 181 528 (5.7) 3 820 1.3 5 435 (0.1) 2 113 002 0.7 36 848 35.4 55 367 (0.4) 2 533 959 1.3 44 093 32.7 66 022 (0.0)LAC PORTO ALEGRE, BR POA 608 681 12.5 2 681 (8.1) 7 890 15.2 5 513 162 19.1 22 454 (10.0) 74 742 15.0 6 590 192 20.1 27 927 (4.8) 88 828 14.0LAC POSADAS, AR PSS 10 378 (6.3) 34 13.0 287 (2.0) 83 392 3.7 332 18.2 3 112 15.2 103 341 13.5 396 26.1 3 587 8.2LAC PRESIDENTE PRUDENTE, BR PPB 21 890 11.2 12 19.0 1 098 (0.2) 205 594 27.3 118 56.1 10 758 11.7 245 069 28.9 136 61.4 12 834 13.5LAC PUERTO MADRYN, AR PMY 5 057 27.8 3 (1.0) 126 57.5 31 740 28.5 38 79.6 1 048 40.1 38 171 15.8 45 83.0 1 225 32.9

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Page 21: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

LAC PUERTO MONTT, CL PMC 72 321 6.4 401 (5.0) 1 781 26.1 652 106 (0.9) 3 861 12.3 16 626 6.3 801 264 (1.6) 4 777 12.3 19 812 5.0LAC PUERTO PLATA, DO POP 49 054 (6.9) ***** ***** 1 046 3.2 781 871 (17.7) ***** ***** 13 015 (4.5) 924 640 (17.2) ***** ***** 15 802 (4.5)LAC PUERTO VALLARTA, MX PVR 159 188 7.2 150 (5.4) 2 774 3.8 2 247 615 3.9 1 727 (12.7) 34 730 2.2 2 724 847 1.1 2 166 (11.1) 42 395 1.4LAC PUNTA ARENAS, CL PUQ 42 015 (3.0) 394 (21.0) 1 416 (10.0) 443 335 3.6 3 725 (3.5) 13 417 2.7 552 852 3.6 4 649 (1.7) 16 709 6.1LAC PUNTA CANA, DO PUJ 216 151 12.8 ***** ***** 2 959 (5.5) 3 347 926 5.4 ***** ***** 39 759 3.2 4 242 322 13.8 ***** ***** 47 688 3.0LAC PUNTA DEL ESTE, UY PDP 10 715 19.4 ***** ***** 693 48.1 147 571 9.8 ***** ***** 7 389 10.5 178 325 4.6 ***** ***** 9 196 7.1LAC QUITO, EC UIO 443 250 8.9 14 982 11.6 7 124 0.2 4 235 120 5.8 134 514 11.6 69 876 2.0 5 058 691 5.8 160 815 12.2 83 362 1.9LAC RECIFE, BR REC 541 708 1.7 3 763 3.3 6 738 20.6 5 186 428 11.6 30 431 (19.0) 62 878 15.6 6 243 684 12.8 37 613 (19.1) 74 921 14.6LAC RECONQUISTA, AR RCQ 95 3.3 ***** ***** 366 8.0 1 025 (28.2) ***** ***** 3 400 (13.5) 1 185 (48.5) ***** ***** 3 933 (17.3)LAC RESISTENCIA, AR RES 10 357 (34.7) 20 § 276 (19.3) 108 058 (16.4) 256 (35.4) 2 866 (16.1) 137 400 (3.6) 350 (21.9) 3 519 (11.5)LAC REYNOSA, MX REX 13 853 (31.3) 33 (9.3) 726 3.9 169 400 (3.4) 334 0.6 7 065 0.1 209 785 (3.0) 400 (0.9) 8 394 (1.5)LAC RIBEIRAO PRETO, BR RAO 65 620 21.2 62 38.8 3 598 7.3 580 438 29.8 486 20.2 36 183 11.0 682 804 27.4 575 14.9 42 465 10.7LAC RIO BRANCO, BR RBR 32 247 17.9 96 (16.2) 1 235 36.9 309 916 10.8 976 (22.8) 12 890 20.2 371 576 12.6 1 309 (9.6) 15 558 20.0LAC RIO CUARTO, AR RCU 534 9.0 ***** ***** 106 § 4 944 (0.1) ***** ***** 1 339 (15.7) 5 919 15.2 ***** ***** 1 624 (9.8)LAC RIO DE JANEIRO, BR GIG 1 159 511 (3.3) 9 326 (11.2) 10 756 (3.3) 10 272 599 2.7 89 391 (1.8) 100 786 2.1 12 374 583 2.9 109 182 (3.2) 121 314 0.5LAC RIO GALLEGOS, AR RGL 20 848 (17.2) 53 29.8 541 (6.2) 199 671 0.3 492 37.0 4 583 (12.5) 245 315 3.5 575 28.9 5 664 (12.9)LAC RIO GRANDE, AR RGA 8 811 32.7 58 § 454 (17.9) 82 234 (4.9) 524 § 3 649 (8.9)LAC SALTA, AR SLA 60 624 7.6 123 (8.2) 942 11.5 511 734 12.6 1 194 (9.8) 8 676 5.5 614 780 14.1 1 434 (10.9) 10 161 4.5LAC SALVADOR, BR SSA 699 603 (1.8) 5 405 49.1 9 941 18.9 6 704 349 5.7 36 715 (2.2) 93 990 12.4 8 136 634 8.4 43 956 (5.8) 112 605 12.6LAC SAMANA, DO AZS 7 017 32.7 2 § 93 (1.1) 158 505 20.1 ***** ***** 1 419 9.3LAC SAN CARLOS DE BARILOCHE, AR BRC 55 529 (8.2) 32 32.2 634 2.4 715 399 15.7 245 4.8 7 992 9.6 845 733 16.3 280 (1.0) 9 484 10.4LAC SAN FERNANDO, AR SFD 2 563 41.1 ***** ***** 5 742 (12.0) 20 586 41.0 ***** ***** 51 133 (12.5) 24 561 39.3 ***** ***** 62 070 (12.6)LAC SAN JOSE DEL CABO, MX SJD 194 744 6.8 138 (8.0) 2 350 (10.2) 2 317 726 5.3 1 299 (22.0) 30 215 2.1 2 770 751 2.8 1 612 (27.6) 37 037 0.9LAC SAN JOSE, CR SJO 192 416 0.0 6 845 (2.3) 4 668 3.5 2 624 662 4.6 67 728 15.2 57 574 (4.5) 3 115 410 3.8 81 185 15.4 68 988 (4.7)LAC SAN JUAN, AR UAQ 11 835 3.9 37 36.4 186 28.3 111 753 32.5 358 45.5 2 040 62.8 132 402 34.4 415 40.0 2 302 53.4LAC SAN JUAN, PR SJU 542 651 (3.8) 14 821 (2.8) 12 285 (5.1) 7 112 532 2.0 150 573 (8.3) 134 307 (3.7) 8 519 444 1.7 183 261 (7.2) 160 322 (5.2)LAC SAN LUIS POTOSI, MX SLP 19 747 10.7 2 405 3.5 1 941 7.6 186 902 7.3 21 921 13.4 17 636 5.9 220 734 5.8 26 558 16.7 21 214 5.7LAC SAN LUIS, AR LUQ 3 573 (12.9) 2 12.4 157 9.8 32 493 14.3 34 98.2 1 518 27.0 41 054 24.2 37 96.4 1 928 30.2LAC SAN RAFAEL, AR AFA 2 226 (30.9) 1 § 216 8.0 18 932 (23.5) 7 (46.5) 1 834 (9.2) 24 735 (11.0) 10 (34.0) 2 279 (9.4)LAC SAN SALVADOR, SV SAL 97 274 (5.8) 2 141 2.1 3 311 15.9 1 196 858 (4.1) 20 228 7.1 33 032 17.9 1 442 630 (4.2) 24 276 3.9 39 680 17.3LAC SANTA ROSA, AR RSA 1 448 86.8 ***** ***** 234 91.8 12 317 57.5 ***** ***** 2 381 48.8 14 025 58.1 ***** ***** 2 692 38.2LAC SANTIAGO DEL ESTERO, AR SDE 3 964 (19.9) 6 48.8 299 (5.1) 36 504 (6.8) 53 (18.5) 3 023 36.4 45 351 (3.6) 65 (20.6) 3 683 28.0LAC SANTIAGO DR, DO STI 66 664 8.5 ***** ***** 1 509 37.6 771 422 6.1 ***** ***** 15 179 27.5 900 206 8.5 ***** ***** 17 463 22.5LAC SANTIAGO., CL SCL 967 218 19.1 23 087 13.0 9 896 13.7 8 332 219 13.3 227 609 13.6 91 666 13.3 10 002 335 12.5 283 095 12.5 109 826 12.2LAC SANTO DOMINGO, DO SDQ 221 283 3.9 ***** ***** 2 923 (14.1) 2 646 670 11.5 ***** ***** 36 054 4.6 3 137 008 12.2 ***** ***** 43 442 5.4LAC SAO CARLOS, BR QSC 81 (28.3) ***** ***** 79 § 2 463 62.9 ***** ***** 2 388 20.7 2 576 39.8 ***** ***** 2 570 10.7LAC SAO JOSE DO RIO PRETO, BR SJP 42 626 25.9 47 (3.3) 1 764 0.9 394 805 42.9 587 29.3 16 083 12.0 458 946 39.7 699 29.6 19 003 11.0LAC SÃO PAULO, BR CGH 1 403 231 3.3 1 966 (27.4) 17 436 2.9 12 698 535 14.1 21 049 (9.8) 170 716 6.9 15 213 066 13.9 26 962 (5.4) 204 360 6.9LAC SÃO PAULO, BR GRU 2 469 192 16.0 41 389 10.6 22 277 17.1 22 520 948 23.9 337 964 9.3 206 100 20.3 26 673 341 23.6 411 505 8.0 244 389 19.7LAC SINT MAARTEN, AN SXM 102 537 3.8 523 (23.3) 3 678 2.3 1 362 325 1.7 5 865 (12.2) 49 487 (4.2) 1 649 009 1.9 7 804 (9.3) 60 470 (5.1)LAC SOROCABA, BR SOD 6 949 57.1 25 52.8 4 143 31.1 52 069 2.7 219 47.7 34 287 (4.2) 61 642 5.9 245 38.5 40 126 (8.8)LAC ST GEORGES, GD GND 23 483 (6.6) 134 10.2 1 048 (2.2) 288 730 (3.7) 1 554 11.4 11 862 4.1 347 179 (3.9) 1 810 9.7 14 130 1.5LAC ST LUCIA, LC SLU 21 552 (10.7) 107 (12.2) 1 872 8.3 249 639 (1.8) 1 100 20.4 19 704 7.2 299 207 (3.9) 1 325 14.4 23 534 4.4LAC ST LUCIA, LC UVF 39 192 23.3 106 (33.9) 857 40.0 536 839 26.6 1 459 5.0 10 329 25.3 633 209 25.3 1 785 0.6 12 166 20.6LAC TABATINGA, BR TBT 3 488 16.9 9 (24.1) 186 35.8 34 140 21.7 126 17.8 2 102 38.3 41 473 20.2 151 21.6 2 465 32.0LAC TAMPICO, MX TAM 37 250 (9.2) 45 (9.8) 1 575 (16.8) 379 537 (4.9) 476 (2.0) 17 946 4.5 454 418 (8.5) 578 (6.5) 21 343 3.1LAC TAPACHULA, MX TAP 13 938 6.2 62 (4.3) 600 (24.2) 166 779 3.4 700 (10.0) 6 715 (3.4) 201 596 (1.1) 829 (13.2) 8 198 (2.9)LAC TIJUANA, MX TIJ 297 601 14.7 1 360 11.2 3 634 (1.4) 3 056 814 8.3 11 861 15.3 39 000 4.2 3 665 012 7.6 14 260 13.9 46 781 3.3LAC TOBAGO, TT TAB 54 996 (9.8) 71 (2.7) 1 278 (4.2) 621 786 0.4 684 29.5 13 354 (0.9) 744 696 0.8 842 23.5 16 004 (1.3)LAC TORREON, MX TRC 28 905 (20.1) 58 44.9 1 122 (24.2) 288 443 (14.6) 529 56.3 12 850 0.1 358 145 (13.4) 609 36.5 15 879 2.0

- 20 - Notes/definitions on page 25

Page 22: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

LAC TRELEW, AR REL 54 466 (3.7) 76 (11.3) 410 (2.8) 276 960 (0.6) 496 9.4 3 053 (3.8) 382 519 0.7 631 9.3 3 908 (3.8)LAC TUCUMAN, AR TUC 39 730 (7.2) 1 087 § 586 (29.4) 347 407 8.9 2 291 56.8 5 155 (29.2) 421 355 14.5 3 302 72.4 6 510 (24.5)LAC UBATUBA, BR UBT 985 (20.9) ***** ***** 539 9.6 12 173 (0.0) ***** ***** 6 111 17.0 15 166 11.0 ***** ***** 7 512 22.6LAC URUGUAIANA, BR URG 296 9.2 5 32.2 116 7.4 2 237 11.6 47 11.9 1 073 (1.5) 2 707 14.1 58 16.8 1 285 (6.4)LAC USHUAIA, AR USH 46 616 (2.7) 67 15.2 659 (14.3) 422 862 (0.6) 792 75.6 5 621 (7.4) 557 444 (1.4) 941 59.0 7 388 (3.7)LAC VERACRUZ, MX VER 64 957 (22.2) 94 52.1 2 732 (6.0) 761 425 1.1 532 (13.3) 27 874 11.1 920 803 0.2 634 (22.5) 33 488 13.0LAC VIEDMA, AR VDM 1 156 14.5 ***** ***** 66 32.0 9 426 42.1 ***** ***** 658 17.5 11 447 51.5 ***** ***** 803 17.2LAC VILLA MERCEDES, AR VME 662 18.2 1 n.a. 268 22.4 5 867 12.7 ***** ***** 2 405 (3.8) 6 756 26.4 ***** ***** 2 885 (5.7)LAC VILLAHERMOSA, MX VSA 70 225 1.0 471 120.0 1 605 (12.0) 647 968 (2.7) 2 718 21.6 16 663 (2.3) 785 125 (3.8) 3 239 17.7 20 141 (0.3)LAC VOTUPORANGA, BR VOT 208 7.8 ***** ***** 448 (33.0) 2 242 26.5 ***** ***** 7 045 14.4 2 622 23.4 ***** ***** 8 753 8.3LAC ZACATECAS, MX ZCL 18 823 (16.5) 7 52.0 749 (12.5) 235 274 9.7 58 (33.8) 8 337 17.1 280 292 7.4 71 (47.9) 9 962 16.5LAC ZIHUATANEJO, MX ZIH 28 656 4.9 13 (27.9) 844 0.4 411 123 (11.4) 247 (26.5) 10 344 (7.9) 496 377 (12.3) 336 (17.6) 12 819 (6.6)MEA ABU DHABI, AE AUH 903 774 13.3 40 641 11.5 9 536 4.4 8 931 932 12.0 363 520 16.4 92 442 10.2 10 632 535 11.4 433 653 17.3 110 671 10.6MEA AL AIN, AE AAN 9 080 17.4 267 § 321 36.6 77 022 (2.0) 1 606 (31.3) 2 681 (5.0) 90 791 (7.1) 1 915 (40.6) 3 131 (4.9)MEA AMMAN, JO AMM 470 307 12.3 8 051 21.4 5 263 8.3 4 546 454 14.5 76 506 13.7 52 328 9.3 5 346 108 14.3 91 383 13.0 62 211 9.3MEA BAHRAIN, BH BAH 702 692 (6.0) 27 904 0.0 8 955 0.7 7 378 276 (0.7) 276 741 (1.9) 87 395 3.0 9 002 579 1.1 337 482 (1.6) 106 264 3.9MEA BEIRUT, LB BEY 417 300 7.3 7 179 11.5 5 480 (7.7) 4 661 091 11.7 65 010 9.2 57 842 4.8 5 471 988 11.8 78 068 7.7 69 373 6.8MEA DAMMAM, SA DMM 387 007 1.2 7 648 10.6 4 714 6.0 4 159 542 9.9 70 323 0.9 47 217 10.1MEA DUBAI, AE DXB 4 013 127 14.8 202 984 9.2 26 558 7.4 38 851 486 15.7 1 889 668 21.7 253 067 9.9 46 188 133 15.4 2 264 440 21.8 303 963 9.6MEA EILATH, IL ETH 140 635 30.4 ***** ***** 1 800 7.3 1 156 938 21.3 ***** ***** 16 182 6.9 1 365 330 18.4 ***** ***** 19 304 6.6MEA FUJAIRAH, AE FJR 1 529 11.3 1 938 (46.0) 1 695 (1.3) 8 571 (36.6) 27 061 (12.3) 17 176 2.3 10 327 (43.1) 33 091 (8.8) 20 845 (1.1)MEA KUWAIT, KW KWI 646 185 (4.3) 18 204 3.0 7 524 (10.9) 7 028 949 2.6 175 114 5.4 78 910 (3.3) 8 375 399 4.2 207 255 5.9 95 900 (0.8)MEA MUSCAT, OM MCT 488 511 23.1 8 149 27.0 5 711 14.3 4 699 413 27.3 81 570 57.3 55 592 24.2 5 565 746 27.9 94 125 53.3 66 174 25.9MEA RAL AL KHAIMAH, AE RKT 18 288 § 54 § 757 (19.0) 48 240 § ***** ***** 8 006 (33.4) 58 745 79.7 ***** ***** 9 454 (33.6)MEA RIYADH, SA RUH 1 124 653 (2.6) 20 570 2.7 10 825 (4.4) 11 911 577 7.4 193 069 14.4 109 033 3.1MEA SHARJAH, AE SHJ 492 605 0.6 28 832 (23.2) 5 582 (0.5) 5 201 553 10.0 324 641 (5.1) 56 621 6.7 6 235 118 10.1 403 904 (0.9) 67 893 5.3MEA TEL-AVIV, IL TLV 1 176 541 6.0 24 256 1.3 7 763 1.6 10 470 210 10.9 264 504 20.1 73 591 5.3 11 981 836 9.0 318 217 17.4 85 472 4.7NAM ABBOTSFORD BC, CA YXX 38 041 (3.9) ***** ***** 7 862 (16.0) 387 185 (1.3) ***** ***** 90 350 (16.1) 466 408 (0.8) ***** ***** 105 640 (15.5)NAM ABILENE TX, US ABI 15 060 2.4 112 (7.2) 5 437 17.0 130 478 (9.2) 955 (12.0) 49 711 (5.8) 159 209 (8.0) 1 184 (5.1) 60 183 n.a.NAM AKRON OH, US CAK 133 049 6.8 ***** ***** 8 707 (1.9) 1 308 896 7.9 ***** ***** 79 782 (1.8) 1 539 866 6.2 ***** ***** 94 123 0.1NAM ALBANY NY, US ALB 225 822 (0.8) 1 171 (25.7) 8 476 0.1 2 142 660 (4.2) 12 095 (11.7) 75 839 (4.2) 2 536 939 (3.8) 15 024 (9.1) 91 165 (2.0)NAM ALBUQUERQUE NM, US ABQ 542 427 1.1 4 848 (7.3) 13 480 (2.2) 4 872 930 (1.8) 46 773 1.1 131 433 (1.4) 5 797 629 (1.4) 56 075 0.8 156 545 (2.1)NAM ALEXANDRIA LA, US AEX 35 377 49.5 ***** ***** 4 992 88.9 279 044 2.3 ***** ***** 33 253 (1.2) 323 220 1.2 ***** ***** 38 294 (2.1)NAM ALLENTOWN PA, US ABE 68 356 7.1 1 113 (5.0) 8 488 (3.7) 698 021 11.6 11 085 6.6 86 502 (7.0) 820 967 11.0 13 235 1.7 102 017 (6.0)NAM ANCHORAGE AK, US ANC 364 862 6.4 242 028 26.4 22 005 7.8 4 254 500 1.6 2 137 341 39.0 241 290 7.6 4 915 862 1.2 2 536 625 35.7 273 620 6.9NAM ASHEVILLE NC, US AVL 76 631 36.6 6 2.4 6 603 (1.9) 622 694 27.7 ***** ***** 57 876 3.3 714 652 23.0 ***** ***** 68 311 3.9NAM ATLANTA GA, US ATL 7 869 469 3.8 59 274 10.4 80 460 (2.2) 74 945 163 1.1 544 153 18.9 797 461 (1.9) 88 817 045 0.4 649 561 17.4 954 666 (1.8)NAM AUSTIN TX, US AUS 769 997 4.4 5 852 (10.7) 15 989 9.3 7 141 696 4.3 57 378 (2.6) 146 917 0.7 8 514 269 3.3 69 464 (3.3) 175 533 0.5NAM BAKERSFIELD CA, US BFL 19 559 11.4 ***** ***** ***** ***** 173 731 (0.7) ***** ***** ***** ***** 207 384 (1.3) ***** ***** ***** *****NAM BALTIMORE MD, US BWI 1 998 230 7.3 8 985 (3.6) 24 058 1.7 18 387 070 4.3 84 528 1.6 231 889 3.4 21 717 956 4.7 101 672 1.8 275 710 3.6NAM BANGOR ME, US BGR 66 558 0.9 66 (12.5) 4 839 9.6 701 010 4.3 943 23.6 45 678 (1.7) 806 968 1.9 1 096 11.6 52 759 (4.6)NAM BATON ROUGE LA, US BTR 76 649 15.8 2 (33.3) 6 071 15.4 656 226 8.1 21 § 54 385 10.9 772 068 6.0 26 § 64 320 8.1NAM BIRMINGHAM AL, US BHM 270 356 2.1 2 149 8.9 10 105 9.3 2 459 162 0.3 21 286 12.5 92 387 2.5 2 941 843 0.9 25 022 8.7 109 070 0.7NAM BLOUNTVILLE TN, US TRI 40 493 9.7 5 0.0 5 079 13.9 339 788 (8.5) 223 75.6 41 055 (6.5) 403 104 (7.7) 237 § 48 232 (5.6)NAM BOISE ID, US BOI 235 369 2.6 3 103 (1.9) 10 128 (11.4) 2 334 084 (0.0) 30 155 8.0 105 049 (4.8) 2 794 530 (0.1) 35 938 6.1 123 258 (4.2)NAM BOSTON MA, US BOS 2 573 395 11.0 22 373 1.1 30 597 2.3 23 125 627 7.3 215 639 5.7 297 690 1.9 27 076 261 7.1 259 414 5.3 350 743 1.4NAM BROWNSVILLE TX, US BRO 14 300 2.5 156 § 2 386 (1.0) 142 229 6.5 1 669 162.7 29 291 27.3 171 411 8.0 1 755 114.4 33 222 19.2NAM BUFFALO, NY, US BUF 462 920 1.1 3 042 (0.2) 11 275 (0.1) 4 405 669 (2.9) 28 396 8.6 110 251 (1.3) 5 192 905 (2.6) 33 967 7.7 129 458 (1.8)NAM BURBANK CA, US BUR 381 656 (1.4) 3 773 (1.7) 8 781 (0.9) 3 724 769 (2.6) 36 928 6.4 95 060 3.6 4 487 070 (2.4) 44 484 7.0 112 704 2.5NAM BURLINGTON VT, US BTV 122 531 21.8 460 14.7 6 710 53.5 1 099 093 (8.7) 5 131 4.8 47 011 7.5 1 300 213 (8.7) 6 050 (2.0) 54 556 7.9

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PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

NAM CALGARY AB, CA YYC 1 036 969 2.7 ***** ***** 19 720 3.0 10 469 750 2.1 ***** ***** 196 777 (0.1) 12 395 280 1.6 ***** ***** 232 903 (1.0)NAM CASPER WY, US CPR 15 148 11.5 716 12.3 2 996 6.2 140 273 8.7 6 614 14.1 29 802 (5.1) 168 044 7.2 7 875 8.6 35 513 (3.2)NAM CEDAR RAPIDS IA, US CID 79 079 4.2 1 835 (6.7) 4 801 (2.6) 764 948 (3.5) 19 077 8.2 43 283 (12.3) 910 978 (4.2) 22 739 6.3 51 353 (10.8)NAM CHARLOTTE NC, US CLT 3 398 539 15.3 10 538 0.9 47 075 10.0 31 699 947 9.3 101 310 14.8 438 245 2.7 37 222 812 7.7 122 674 13.7 520 835 1.5NAM CHARLOTTETOWN PE, CA YYG 23 681 9.0 7 (4.2) 1 445 16.4 258 230 5.1 ***** ***** 17 091 (19.7) 291 063 4.7 ***** ***** 19 299 (17.9)NAM CHATTANOOGA TN, US CHA 55 594 4.4 179 4.0 4 662 6.4 483 682 (7.6) 1 662 6.9 47 102 (2.1) 574 743 (6.8) 1 981 (10.0) 55 414 (2.5)NAM CHICAGO IL, US MDW 1 554 094 1.9 2 131 (3.7) 21 804 0.1 14 839 733 3.7 21 864 18.7 206 213 0.4 17 613 866 5.0 26 134 28.5 246 402 0.4NAM CHICAGO IL, US ORD 5 994 099 5.6 133 905 22.3 77 312 7.7 56 247 743 3.2 1 180 086 36.0 739 330 6.2 66 279 491 2.7 1 408 148 33.7 873 264 5.4NAM CINCINNATI OH, US CVG 664 504 (20.0) 38 206 75.5 14 601 (19.2) 6 800 749 (25.2) 302 997 § 144 894 (20.5) 8 333 118 (24.0) 349 592 § 179 594 (19.4)NAM CLEVELAND OH, US BKL ***** ***** 47 (6.0) 5 964 (3.3) ***** ***** 573 0.9 55 098 (5.4) ***** ***** 665 (10.0) 65 307 (2.4)NAM CLEVELAND OH, US CLE 804 597 (1.6) 6 862 4.2 16 616 0.9 7 945 865 (2.8) 65 787 9.2 160 531 (4.6) 9 485 486 (2.5) 78 535 8.9 192 533 (4.6)NAM COLORADO SPRINGS CO, US COS 154 443 (1.9) 857 (9.2) 11 556 (1.5) 1 462 899 (5.7) 8 130 (5.3) 119 294 (0.3) 1 749 348 (4.8) 9 960 (0.6) 141 681 0.8NAM COLUMBIA SC, US CAE 91 979 0.7 5 085 (7.7) 5 057 (5.7) 845 153 (4.7) 50 921 (8.5) 49 629 (15.2) 1 010 205 (5.5) 61 937 (12.9) 59 966 (15.0)NAM COLUMBUS OH, US CMH 558 285 2.1 374 (10.7) 11 671 (8.8) 5 318 026 1.8 3 513 (9.8) 113 476 (7.8) 6 329 360 1.4 4 366 (12.2) 136 871 (6.7)NAM COLUMBUS OH, US LCK 1 342 27.7 6 757 (3.2) 4 960 (13.6) ***** ***** 57 815 0.4 46 097 6.1 ***** ***** 72 082 0.2 54 384 5.4NAM CRANBROOK BC, CA YXC 9 079 2.2 ***** ***** ***** ***** 86 729 (1.3) ***** ***** ***** ***** 104 228 (0.4) ***** ***** ***** *****NAM DALLAS TX, US DAL 703 185 3.9 ***** ***** 15 075 (0.4) 6 625 623 2.3 ***** ***** 139 740 (3.2) 7 890 382 2.6 ***** ***** 168 311 (3.7)NAM DALLAS/FORT WORTH TX, US DFW 4 958 871 4.2 57 226 3.8 55 469 1.6 47 531 209 1.2 546 149 14.6 544 039 2.3 56 589 929 1.2 656 274 14.1 650 758 2.3NAM DAYTON OH, US DAY 232 064 8.8 703 (27.6) 5 149 5.1 2 109 060 (0.9) 6 761 (22.2) 49 790 0.0 2 487 936 (3.7) 8 456 (17.2) 58 926 (1.9)NAM DAYTONA BEACH FL, US DAB 40 092 172.0 11 88.9 24 327 (17.7) 403 950 21.3 85 23.3 230 977 (12.4) 448 874 15.3 97 16.3 269 121 (14.6)NAM DENVER CO, US DEN 4 470 006 9.0 22 373 9.3 53 587 8.2 43 977 264 3.6 206 193 12.9 526 622 3.6 51 708 514 3.0 247 960 11.9 625 057 3.1NAM DES MOINES IA, US DSM 156 039 8.2 5 858 7.1 7 369 6.9 1 535 760 3.9 48 290 (12.0) 81 666 9.8 1 806 757 2.6 59 382 (13.6) 94 024 5.3NAM DETROIT MI, US DTW 2 848 872 10.6 18 770 20.9 39 257 11.2 27 240 793 2.8 157 304 19.4 380 030 4.6 32 105 587 1.3 187 398 16.4 449 458 3.1NAM EDMONTON AB, CA YEG 488 275 (1.8) ***** ***** ***** ***** 5 100 307 0.2 ***** ***** ***** ***** 6 102 158 (0.5) ***** ***** ***** *****NAM EL PASO TX, US ELP 256 372 (2.4) 7 475 18.5 8 110 (12.2) 2 558 490 0.4 68 689 47.7 83 957 2.8 3 072 555 0.5 80 551 45.8 101 062 3.6NAM EUGENE OR, US EUG 67 324 11.0 57 (5.6) 6 205 (1.8) 616 137 8.7 505 (4.1) 60 223 (4.7) 734 514 8.6 610 (9.4) 70 153 (4.2)NAM FAIRBANKS AK, US FAI 75 113 (13.4) 1 648 (6.8) 8 813 (9.8) 844 681 1.9 17 191 (15.0) 106 408 0.9 984 348 2.7 19 762 (14.9) 118 000 (0.3)NAM FORT LAUDERDALE, FL, US FLL 1 699 591 10.7 7 543 7.6 20 320 (2.2) 18 386 253 5.6 73 619 0.4 224 854 2.2 22 034 556 5.1 87 676 (3.4) 271 827 2.0NAM FORT MYERS FL, US FMY ***** ***** ***** ***** 7 377 15.0 ***** ***** ***** ***** 65 090 4.5 ***** ***** ***** ***** 78 606 5.3NAM FORT MYERS FL, US RSW 532 025 13.0 1 387 (9.0) 6 014 8.7 6 167 400 0.4 12 834 3.6 68 739 0.9 7 441 956 0.1 15 720 3.5 83 735 (0.1)NAM FORT SMITH AR, US FSM 16 247 23.5 1 (25.0) 3 768 25.1 142 719 7.3 12 7.1 38 294 7.6 166 805 4.7 14 8.5 46 519 8.6NAM FORT WAYNE IN, US FWA 46 394 7.5 869 (5.4) 1 226 § 463 502 4.0 9 131 12.7 28 618 (39.6) 548 576 3.5 10 908 12.4 35 536 (37.0)NAM FORT WORTH TX, US AFW ***** ***** 12 465 71.1 10 619 111.2 ***** ***** 96 382 21.0 86 896 (3.3) ***** ***** 115 688 19.0 98 790 (8.7)NAM FRESNO CA, US FAT 101 473 0.0 758 18.5 10 966 13.6 987 489 (0.7) 6 978 17.6 98 187 (4.2) 1 183 422 0.6 8 377 10.8 115 166 (5.8)NAM GAINESVILLE FL, US GNV 32 760 39.6 7 (21.5) 6 669 14.2 265 313 18.7 92 § 61 538 (0.2) 312 195 15.7 113 § 73 005 (3.8)NAM GOODYEAR AZ, US GYR ***** ***** ***** ***** 13 121 (20.7) ***** ***** ***** ***** 122 913 (18.7) ***** ***** ***** ***** 149 208 (16.9)NAM GRAND RAPIDS MI, US GRR 190 976 27.4 3 172 0.3 7 872 2.0 1 814 611 22.3 29 676 4.1 73 716 (1.2) 2 101 771 20.3 35 887 4.2 87 024 0.2NAM GREENSBORO NC, US GSO 172 673 12.6 7 833 4.4 8 774 20.3 1 384 897 (4.2) 71 408 6.6 75 707 9.2 1 653 416 (5.3) 85 240 10.6 88 918 8.0NAM GULFPORT MS, US GPT 78 378 5.8 ***** ***** 7 330 53.3 744 056 17.4 ***** ***** 72 587 52.3 874 077 12.9 ***** ***** 80 634 45.8NAM HALIFAX NS, CA YHZ 297 754 0.5 ***** ***** ***** ***** 3 018 590 2.2 ***** ***** ***** ***** 3 481 921 2.3 ***** ***** ***** *****NAM HARRISBURG, US MDT 123 501 12.5 4 023 6.0 7 468 10.7 1 118 258 6.8 41 140 22.5 70 097 7.5 1 313 170 6.1 48 920 20.8 82 470 8.4NAM HARTFORD CT, US BDL 486 168 6.2 5 877 4.8 9 000 (2.6) 4 454 722 (5.2) 87 185 0.0 87 566 (4.3) 5 263 590 (5.9) 107 504 (2.9) 104 905 (4.6)NAM HOUSTON TX, US EFD ***** ***** ***** ***** 11 168 16.2 ***** ***** ***** ***** 94 279 (13.6) ***** ***** ***** ***** 111 894 (13.4)NAM HOUSTON TX, US HOU 785 918 5.5 926 (10.2) 17 708 (4.4) 7 485 774 5.9 9 474 (1.0) 175 006 (0.8) 8 917 041 6.0 11 414 7.8 208 007 (1.7)NAM HOUSTON TX, US IAH 3 381 889 3.5 36 398 6.8 44 162 0.7 33 693 835 1.0 350 647 14.5 442 783 (1.6) 40 347 650 1.2 419 034 13.4 530 955 (1.4)NAM HUNTSVILLE AL, US HSV 117 373 11.7 7 323 39.2 5 350 (5.6) 1 038 728 5.1 58 194 18.5 52 057 6.0 1 221 572 3.5 68 609 14.5 61 616 7.3NAM INDIANAPOLIS IN, US IND 685 171 3.9 80 029 1.1 13 933 (2.3) 6 289 406 0.6 771 731 4.5 138 508 (3.3) 7 494 157 0.4 934 026 4.6 166 655 (3.5)NAM JACKSON MS, US JAN 110 368 1.5 505 1.1 4 863 (7.8) 1 023 996 (3.2) 4 991 10.3 58 387 6.9 1 228 102 (3.2) 5 949 0.4 68 915 7.5NAM JACKSONVILLE FL, US JAX 486 474 2.0 6 014 6.4 8 342 2.6 4 673 574 (1.1) 54 406 0.9 80 055 (1.1) 5 553 966 (1.7) 65 924 (0.1) 95 063 (2.0)NAM KANSAS CITY MO, US MCI 902 874 1.3 7 709 (3.4) 12 714 0.5 8 479 067 0.6 72 102 (2.4) 121 468 (3.6) 10 093 216 0.6 86 898 (3.7) 145 761 (3.5)

- 22 - Notes/definitions on page 25

Page 24: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

NAM KANSAS CITY MO, US MKC ***** ***** ***** ***** 7 471 17.5 ***** ***** ***** ***** 70 806 (1.0) ***** ***** ***** ***** 83 099 (0.7)NAM KELOWNA BC, CA YLW 109 499 3.0 ***** ***** 6 788 19.9 1 160 260 2.5 ***** ***** 64 272 3.9 1 395 574 3.0 ***** ***** 74 770 3.7NAM KNOXVILLE TN, US TYS 158 737 4.1 3 600 1.5 9 895 5.7 1 421 243 0.8 35 390 14.5 91 645 4.7 1 692 361 1.0 41 801 14.1 108 513 3.3NAM LAS VEGAS NV, US HSH 7 866 33.0 ***** ***** 6 756 19.8 60 022 104.7 ***** ***** 65 476 28.2 68 506 118.5 ***** ***** 77 722 28.2NAM LAS VEGAS NV, US LAS 3 584 819 2.0 7 586 (5.8) 45 187 (0.3) 33 118 953 (3.0) 72 197 2.4 425 195 (1.2) 39 451 040 (2.7) 89 272 6.6 505 896 (1.2)NAM LAS VEGAS NV, US VGT 12 343 6.9 12 (36.1) 11 629 (1.6) 109 481 28.6 125 § 109 191 (4.8) 124 568 28.0 151 § 134 745 (2.8)NAM LEXINGTON KY, US LEX 108 606 35.4 6 (41.6) 6 966 13.1 927 033 18.6 65 (40.5) 67 292 17.7 1 070 822 14.1 79 (40.2) 77 267 14.7NAM LINCOLN NE, US LNK 26 771 14.1 ***** ***** 5 953 23.3 237 444 (1.8) 4 § 53 657 (4.7) 282 162 (3.5) 8 § 62 798 (1.5)NAM LONG BEACH CA, US LGB 258 160 7.0 2 160 (20.2) 22 583 (8.4) 2 469 659 0.6 21 211 (20.4) 269 166 7.2 2 923 582 (0.2) 26 362 (18.1) 315 252 5.3NAM LOS ANGELES CA, US LAX 4 988 085 4.8 169 315 6.4 48 118 4.5 49 186 215 4.0 1 473 254 18.5 481 570 5.7 58 432 716 4.0 1 782 270 20.3 573 052 5.0NAM LOS ANGELES CA, US VNY ***** ***** ***** ***** 23 318 (20.2) ***** ***** ***** ***** 267 600 (10.9) ***** ***** ***** ***** 319 586 (10.3)NAM LOUISVILLE KY, US SDF 319 518 5.1 188 410 3.8 ***** ***** 2 808 282 2.2 1 792 709 12.4 ***** ***** 3 323 052 1.7 2 146 611 12.2 ***** *****NAM MADISON WI, US MSN 133 930 4.7 922 14.9 9 320 22.3 1 276 497 0.8 8 919 36.0 84 032 1.6 1 510 883 (0.2) 10 389 30.5 98 053 1.8NAM MANCHESTER, NH, US MHT 268 032 (3.0) 6 945 5.3 5 857 (2.9) 2 378 398 (13.0) 64 991 8.2 57 063 (7.2) 2 826 998 (13.1) 78 240 5.6 68 265 (6.1)NAM MEDFORD OR, US MFR 55 244 6.3 226 15.6 3 965 15.3 535 921 7.4 1 950 1.5 44 128 14.7 631 577 7.9 2 349 (0.1) 49 602 13.1NAM MELBOURNE FL, US MLB 29 952 68.5 8 60.0 14 513 12.0 292 658 52.8 63 37.0 121 228 (1.5) 330 165 42.6 72 28.6 139 366 (3.9)NAM MEMPHIS TN, US MEM 872 739 1.0 339 395 (1.1) 28 524 0.2 8 283 999 (1.1) 3 247 569 6.9 279 989 (0.9) 9 859 709 (1.2) 3 908 036 7.3 336 383 (1.0)NAM MIAMI FL, US MIA 2 851 206 8.2 148 006 0.4 29 903 7.0 29 512 743 4.8 1 509 239 19.8 309 123 6.6 35 245 684 4.0 1 806 853 17.8 370 688 5.7NAM MILWAUKEE WI, US MKE 834 635 18.2 6 822 7.0 16 190 10.3 8 352 761 28.6 64 737 14.7 160 757 14.9 9 805 876 29.7 76 668 9.2 190 526 15.4NAM MILWAUKEE WI, US MWC ***** ***** ***** ***** 2 653 16.3 ***** ***** ***** ***** 28 947 (7.6) ***** ***** ***** ***** 33 180 (6.7)NAM MINNEAPOLIS MN, US MSP 2 760 354 10.0 17 717 4.9 37 519 12.0 27 624 184 (0.0) 174 191 9.5 363 675 (0.7) 32 339 908 (1.0) 205 785 6.2 430 206 (1.5)NAM MOBILE AL, US MOB 42 464 (12.1) 2 n.a. 10 236 3.9 479 780 (0.0) ***** ***** 103 347 15.0 567 765 (0.3) ***** ***** 120 608 13.3NAM MOLINE IL, US MLI 86 255 9.3 50 (11.7) 4 075 15.5 801 709 3.4 537 12.3 35 575 (8.6) 949 596 2.8 622 14.2 41 670 (8.2)NAM MONCTON NB, CA YQM 47 009 1.8 ***** ***** ***** ***** 473 353 8.5 ***** ***** ***** ***** 552 514 8.0 ***** ***** ***** *****NAM MONTEREY CA, US MRY 32 956 0.3 41 (0.0) 5 187 (10.4) 329 367 1.3 415 8.9 50 285 (15.3) 392 319 2.1 496 5.6 59 230 (13.8)NAM MONTREAL QC, CA YMX ***** ***** ***** ***** 2 114 24.6 ***** ***** ***** ***** 17 301 7.2 ***** ***** ***** ***** 20 351 6.3NAM MONTREAL QC, CA YUL 1 061 600 8.1 ***** ***** 18 388 3.3 11 040 581 5.8 ***** ***** 182 034 1.4 12 821 691 4.9 ***** ***** 214 953 1.1NAM MOSINEE WI, US CWA 28 728 13.5 47 § 1 767 (0.3) 265 452 8.4 9 696 (24.1) 16 494 4.8 311 829 8.0 13 704 (44.0) 19 580 6.2NAM MYRTLE BEACH SC, US MYR 169 340 28.4 ***** ***** ***** ***** 1 540 212 17.8 ***** ***** ***** ***** 1 717 235 15.4 ***** ***** ***** *****NAM NASHVILLE TN, US BNA 849 582 4.1 3 371 (13.1) 15 401 (0.5) 7 586 355 1.3 33 324 (19.9) 145 973 0.3 9 032 807 1.5 40 732 (19.0) 174 465 0.1NAM NEW ORLEANS LA, US MSY 760 238 7.8 4 434 (8.0) 8 890 (0.1) 6 754 996 4.1 43 953 0.0 91 515 2.7 8 058 685 4.0 52 275 (0.3) 107 749 0.4NAM NEW WINDSOR, NY, US SWF 33 576 0.7 1 139 28.1 3 982 2.3 333 327 1.6 9 185 15.5 41 443 10.0 395 407 1.1 11 020 7.4 48 407 10.1NAM NEW YORK NY, US JFK 4 013 693 5.6 124 766 17.0 33 319 2.4 39 051 709 0.9 1 113 986 20.5 331 782 (5.3) 46 209 283 0.4 1 332 899 18.0 396 092 (5.6)NAM NEW YORK NY, US LGA 2 171 185 9.4 733 12.9 31 804 4.0 19 998 934 8.8 6 155 0.4 301 703 1.6 23 761 144 8.5 7 338 (2.9) 358 540 1.4NAM NEWARK NJ, US EWR 2 767 882 (0.7) 76 720 5.5 33 998 0.3 27 925 735 (0.8) 697 439 11.2 336 771 (2.6) 33 182 250 (0.7) 848 734 10.0 401 773 (2.9)NAM NORFOLK VA, US ORF 279 033 (0.1) 2 563 4.1 8 192 3.9 2 816 706 (2.7) 24 202 9.3 78 675 (2.4) 3 333 200 (2.7) 28 820 8.7 92 764 (3.4)NAM NORTH PLATTE NE, US LBF 1 315 7.3 74 55.1 328 9.3NAM OAKLAND CA, US OAK 827 632 (1.1) 44 789 4.9 17 943 (14.6) 7 941 868 0.6 416 834 1.8 185 998 (5.4) 9 543 439 0.8 504 137 (1.0) 222 537 (5.6)NAM OKLAHOMA CITY, OK, US OKC 313 959 5.4 2 610 (3.0) 9 953 11.6 2 893 318 1.8 25 643 (3.9) 103 358 (8.0) 3 436 992 1.5 30 863 (3.0) 120 377 (10.4)NAM OMAHA NE, US OMA 376 959 5.7 6 030 1.5 9 752 7.0 3 619 417 1.2 58 656 (1.6) 93 667 (0.4) 4 260 015 0.6 70 009 (2.7) 110 771 (0.7)NAM ONTARIO CA, US ONT 411 117 (1.2) 27 386 (19.0) 7 580 (12.1) 4 015 734 (1.3) 293 292 (1.9) 77 931 (5.2) 4 815 382 (1.8) 357 923 (2.9) 94 069 (5.4)NAM ORLANDO FL, US MCO 2 877 855 7.9 14 842 2.9 24 582 3.6 29 020 510 2.9 139 606 9.9 255 924 2.0 34 499 677 2.5 168 129 8.7 305 424 1.1NAM ORLANDO FL, US ORL ***** ***** ***** ***** 9 667 0.1 ***** ***** ***** ***** 86 289 (7.3) ***** ***** ***** ***** 102 033 (8.8)NAM OTTAWA ON, CA YOW 378 485 2.1 ***** ***** 12 139 4.7 3 740 556 5.3 ***** ***** 111 339 1.5 4 421 272 5.1 ***** ***** 131 446 2.6NAM PADUCAH KY, US PAH 3 496 16.0 ***** ***** 2 955 (6.7) 32 813 4.2 ***** ***** 21 843 (29.4) 38 352 1.0 ***** ***** 27 772 (24.1)NAM PALM SPRINGS CA, US PSP 109 896 (0.1) 2 (32.0) 4 680 (16.8) 1 211 819 2.6 15 (23.1) 52 954 (7.7) 1 496 450 3.0 20 (24.2) 66 236 (5.3)NAM PALMDALE CA, US PMD ***** ***** ***** ***** 2 064 8.4 ***** ***** ***** ***** 22 059 (0.1) ***** ***** ***** ***** 25 415 (3.4)NAM PANAMA CITY FL, US PFN 74 372 185.6 ***** ***** 5 021 (17.3)NAM PENSACOLA FL, US PNS 129 240 9.6 20 11.1 10 980 (0.0) 1 241 325 5.1 237 (7.4) 105 223 23.3 1 451 033 4.0 270 § 125 547 26.7NAM PEORIA IL, US PIA 43 533 11.0 1 437 15.8 3 878 21.1 430 062 2.9 11 998 (23.7) 30 929 (14.0) 505 812 1.8 15 727 (17.9) 36 108 (13.7)

- 23 - Notes/definitions on page 25

Page 25: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

NAM PHILADELPHIA PA, US PHL 2 720 581 4.2 36 930 (2.4) 40 096 0.2 25 878 216 (0.5) 340 685 (3.5) 385 448 (3.2) 30 536 628 (0.5) 421 146 (2.1) 459 952 (2.9)NAM PHOENIX AZ, US AZA 57 138 38.3 ***** ***** 17 158 (1.7) 654 287 41.5 ***** ***** 145 960 (5.4) 771 003 41.1 ***** ***** 177 525 (4.1)NAM PHOENIX AZ, US DVT ***** ***** ***** ***** 31 559 0.4 ***** ***** ***** ***** 305 240 (10.1) ***** ***** ***** ***** 368 099 (10.2)NAM PHOENIX AZ, US PHX 3 256 306 2.1 20 771 3.9 37 527 (0.7) 32 047 517 1.7 199 516 10.3 374 424 (1.9) 38 359 068 1.9 236 016 8.2 449 800 (1.9)NAM PITTSBURGH PA, US PIT 757 363 6.4 6 833 8.2 13 019 1.8 6 830 558 1.0 63 809 8.0 119 863 (3.5) 8 099 592 0.4 76 712 7.2 143 429 (3.6)NAM PORTLAND OR, US PDX 1 114 682 5.5 16 459 4.3 18 511 (1.9) 11 007 599 1.2 153 436 5.7 187 472 (1.8) 13 058 420 1.2 186 662 4.4 223 143 (1.6)NAM QUEBEC QC, CA YQB 99 309 19.9 ***** ***** 10 909 0.9 1 009 850 14.5 ***** ***** 108 985 (1.1) 1 162 581 13.3 ***** ***** 127 573 0.8NAM RALEIGH-DURHAM NC, US RDU 823 705 1.9 7 816 (2.7) 16 386 (1.6) 7 532 558 0.8 74 795 7.4 170 997 4.2 9 026 602 0.6 89 969 6.5 202 028 1.1NAM REGINA SK, CA YQR 93 426 4.9 ***** ***** 5 491 24.2 930 540 9.1 ***** ***** 51 297 (6.6) 1 099 321 7.9 ***** ***** 60 418 (3.4)NAM RENO NV, US RNO 306 718 3.9 4 497 16.4 7 547 (6.1) 3 295 169 3.2 40 419 10.0 78 516 (8.6) 3 857 641 1.9 50 053 7.7 92 111 (10.2)NAM RICHMOND VA, US RIC 307 191 5.2 3 443 (4.9) 9 823 8.1 2 777 398 (0.1) 31 842 (1.9) 87 049 (1.9) 3 301 750 (0.9) 38 180 (3.2) 103 162 (2.6)NAM ROANOKE VA, US ROA 62 736 10.6 826 (11.2) 3 731 (11.9) 542 200 4.0 8 161 (2.2) 36 310 (15.9) 641 937 2.5 10 051 (1.6) 43 246 (16.1)NAM SACRAMENTO CA, US MHR ***** ***** ***** ***** 5 890 (13.1) ***** ***** ***** ***** 61 551 (20.1) ***** ***** ***** ***** 74 251 (16.8)NAM SACRAMENTO CA, US SMF 752 286 (1.7) 5 881 0.8 9 636 (15.7) 7 422 729 (0.7) 54 803 (0.7) 107 925 (6.0) 8 863 615 (0.8) 66 453 (0.3) 128 408 (5.7)NAM SALT LAKE CITY UT, US SLC 1 760 712 8.7 12 574 1.7 30 138 1.8 17 705 126 2.0 119 880 7.6 307 164 (2.3) 20 783 092 2.1 144 073 6.9 364 926 (2.1)NAM SAN ANTONIO TX, US SAT 701 913 4.1 10 515 (4.5) 15 933 (3.2) 6 695 319 2.6 102 851 8.1 147 666 (10.2) 8 001 685 1.8 123 207 6.9 177 832 (9.7)NAM SAN DIEGO CA, US SAN 1 447 752 (0.5) 11 178 4.3 15 818 (3.7) 14 172 546 (0.7) 101 134 6.3 160 077 (4.7) 16 875 597 (0.3) 124 836 8.7 191 325 (5.0)NAM SAN FRANCISCO CA, US SFO 3 490 100 7.4 34 293 (5.7) 33 812 4.6 32 923 851 5.2 362 395 8.1 324 119 1.9 38 969 544 5.3 435 321 8.6 385 710 2.1NAM SAN JOSE CA, US SJC 713 828 0.3 3 959 (11.1) 10 536 (5.6) 6 840 221 (2.1) 36 475 (17.6) 103 785 (17.4) 8 173 724 (2.4) 46 130 (16.0) 123 997 (18.1)NAM SAN LUIS OBISPO CA, US SBP 25 379 19.5 109 3.8 7 391 (14.1) 218 865 9.0 1 016 6.9 82 127 0.3 259 051 7.9 1 223 5.9 97 934 1.1NAM SANFORD FL, US SFB 86 856 (26.8) 680 65.5 20 812 (0.5) 1 025 116 (31.1) 3 774 80.8 163 903 (13.0) 1 239 176 (27.2) 4 003 72.6 195 358 (12.9)NAM SANTA ANA, CA, US SNA 732 106 (4.8) 1 152 3.8 16 753 (12.9) 7 254 022 (0.2) 11 193 (2.7) 170 545 (6.8) 8 688 530 0.9 13 434 (5.9) 205 726 (4.5)NAM SANTA BARBARA CA, US SBA 61 645 (0.7) 180 (1.6) 8 168 (35.5) 637 067 1.0 1 634 (0.4) 90 701 (0.8) 753 024 (0.0) 1 957 (2.3) 107 295 0.3NAM SARASOTA FL, US SRQ 103 071 6.3 14 18.8 8 027 (0.3) 1 097 317 (2.2) 167 5.2 84 552 (5.1) 1 319 302 (1.5) 198 2.7 102 168 (4.5)NAM SASKATOON SK, CA YXE 97 708 2.2 ***** ***** 8 631 24.6 1 016 194 5.2 ***** ***** 79 864 (0.2) 1 207 704 4.5 ***** ***** 93 281 0.4NAM SAVANNAH GA, US SAV 154 667 4.1 662 7.7 8 981 (2.8) 1 398 239 (0.4) 6 195 16.0 83 201 5.2 1 644 115 (1.4) 7 326 11.8 99 340 7.6NAM SEATTLE WA, US SEA 2 588 043 3.5 24 275 7.4 26 589 0.8 26 487 115 0.4 233 560 3.4 263 840 (1.6) 31 334 353 0.7 278 723 2.5 313 542 (1.7)NAM SHREVEPORT LA, US SHV 45 916 14.1 2 540 (4.1) 5 036 20.1 420 503 (2.8) 25 235 1.1 41 033 0.8 499 688 (4.9) 30 222 0.0 49 072 (0.5)NAM SIOUX CITY IA, US SUX 5 081 4.8 ***** ***** 1 689 6.0 40 398 (25.7) ***** ***** 17 985 (10.9) 50 142 (24.8) ***** ***** 21 011 (10.4)NAM SIOUX FALLS SD, US FSD 66 132 16.4 2 232 2.2 6 070 21.6 572 382 2.6 21 184 4.7 52 905 2.3 681 711 0.5 25 388 4.2 62 395 1.7NAM SOUTH BEND IN, US SBN 57 589 11.9 965 6.0 3 122 (15.6) 527 033 (1.1) 9 028 12.8 28 612 (9.2) 619 235 (2.8) 10 646 12.1 34 144 (7.6)NAM SPOKANE WA, US GEG 266 945 6.4 3 709 (7.8) 7 130 3.1 2 642 325 3.6 34 859 (1.2) 67 602 (2.8) 3 146 887 3.4 42 457 (0.7) 79 445 (2.0)NAM SPRINGFIELD MO, US SGF 72 421 1.6 1 050 2.6 4 395 (3.0) 674 615 (1.6) 10 090 6.6 44 519 (8.9) 800 864 (1.6) 12 063 1.4 53 537 (8.1)NAM ST JOHN NB, CA YSJ 19 403 2.3 ***** ***** 1 364 (12.5) 195 814 2.2 ***** ***** 14 443 (6.8) 226 512 1.7 ***** ***** 17 202 (5.3)NAM ST LOUIS MO, US STL 1 099 255 (2.7) 6 048 (5.6) 15 742 (7.6) 10 308 825 (4.9) 56 642 (8.8) 154 512 (12.3) 12 248 013 (4.7) 68 692 (7.1) 187 373 (11.7)NAM ST PETERSBURG FL, US PIE 41 887 26.9 1 249 (11.7) ***** ***** 646 855 (1.7) 11 611 (5.4) ***** ***** 765 232 0.8 14 080 (3.9) ***** *****NAM TALLAHASSEE FL, US TLH 59 599 (7.4) 784 (6.4) 7 099 (3.9) 559 288 (9.4) 7 902 (2.1) 67 675 (11.0) 677 538 (7.6) 9 474 (6.9) 80 465 (10.4)NAM TAMPA FL, US TPA 1 356 125 2.2 7 507 1.8 15 562 (1.6) 13 887 079 (2.3) 72 688 2.9 162 190 (3.0) 16 636 422 (2.2) 87 620 (1.2) 195 020 (3.7)NAM THUNDER BAY ON, CA YQT 60 212 2.9 ***** ***** 9 547 4.6 581 280 6.5 ***** ***** 74 734 (7.3) 688 744 6.4 ***** ***** 90 962 (4.4)NAM TOLEDO OH, US TOL 11 941 12.1 23 857 4.8 4 214 2.0 146 910 (4.3) 213 090 5.5 42 124 7.0 176 171 (5.6) 252 537 2.0 49 758 8.9NAM TOPEKA KS, US FOE ***** ***** ***** ***** 2 231 (0.1) ***** ***** ***** ***** 23 578 (9.9) ***** ***** ***** ***** 27 848 (7.0)NAM TOPEKA KS, US TOP ***** ***** ***** ***** 5 793 22.0 ***** ***** ***** ***** 47 235 (12.6) ***** ***** ***** ***** 55 056 (13.7)NAM TORONTO ON, CA YTZ 110 000 25.6 ***** ***** 9 136 15.4 920 810 51.3 ***** ***** 93 990 5.0 1 082 781 53.1 ***** ***** 108 525 7.4NAM TORONTO ON, CA YYZ 2 626 871 8.4 42 763 6.7 35 228 4.6 26 992 389 5.0 ***** ***** 350 745 2.2 31 654 715 3.9 ***** ***** 415 026 1.6NAM TUCSON AZ, US TUS 332 541 5.3 2 838 (3.3) 12 706 (16.7) 3 118 555 3.0 26 174 11.5 138 319 (8.4) 4 027 272 10.4 31 366 9.5 165 933 (8.2)NAM TULSA OK, US TUL 250 663 (1.0) 4 500 (12.3) 9 766 6.8 2 317 645 (2.1) 41 754 (6.3) 92 864 (5.8) 2 763 923 (2.8) 50 686 (5.0) 110 908 (5.1)NAM VANCOUVER BC, CA YVR 1 347 036 7.3 18 512 7.7 23 511 (6.5) 14 371 180 3.4 189 722 18.4 249 206 (7.5) 16 826 442 2.4 226 297 17.3 291 172 (7.8)NAM VICTORIA BC, CA YYJ 130 748 (2.0) 17 (25.9) 12 029 (2.5) 1 281 654 (0.8) 158 (16.9) 125 759 (11.2) 1 522 655 0.4 204 (12.3) 149 568 (8.1)NAM WASHINGTON DC, US DCA 1 674 409 5.9 597 5.9 24 196 3.1 15 103 967 1.6 5 537 15.1 225 089 (1.8) 17 809 866 1.0 6 536 16.2 268 012 (1.9)NAM WASHINGTON, DC, US IAD 2 098 106 6.4 29 580 4.0 29 360 1.4 19 798 081 1.8 274 409 18.0 281 077 (1.8) 23 418 110 1.6 334 673 18.3 335 260 (1.8)

- 24 - Notes/definitions on page 25

Page 26: ACI OCT 2010 WORLD AIRPORTS STATISTICS

PASSENGERS CARGO PASSENGERS CARGO MOVEMENTS PASSENGERS CARGO% CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG % CHG (tonnes) % CHG % CHG

REG

MONTHLY WORLDWIDE AIRPORT TRAFFIC REPORT- OCT 2010/2009

OCT 2010/2009 YEAR-TO-DATE OCT 2010/2009 12-MONTHS ENDING OCT 2010/2009AIRPORT CODE

MOVEMENTS MOVEMENTS

NAM WEST PALM BEACH FL, US PBI 412 892 3.0 1 397 64.5 9 604 (1.2) 4 846 292 (2.4) 13 939 57.2 115 567 1.9 5 876 920 (2.6) 16 989 53.3 140 228 (0.7)NAM WICHITA KS, US ICT 138 044 5.1 1 970 (0.7) 7 760 (6.6) 1 293 862 2.9 19 686 (0.6) 75 099 (22.7) 1 541 532 2.2 23 458 (4.1) 96 091 (22.1)NAM WINNIPEG MB, CA YWG 275 298 (1.0) 14 687 11.1 11 895 3.7 2 851 068 (0.4) 141 009 8.4 114 513 0.2 3 366 976 (1.4) 169 086 8.0 135 927 0.0NAM YUMA AZ, US YUM 12 643 0.7 83 53.3 10 115 (1.1) 131 910 12.1 807 12.5 86 492 17.8 161 368 9.3 974 12.0 99 957 15.9

Total Passengers total passengers enplaned and deplaned, passengers in transit counted once.Aircraft Movements landing and take-off of an aircraft.Cargo loaded and unloaded freight and mail. **ANC data includes transit freight and not included in regional totals.n.a. data not available.§ Growth rate > 200% or < minus 50% due to extraordinary circumstances affecting traffic, i.e., war, social and political unrest, major sports events, new routes.***** no or insignificant data.(blank spaces) incomplete data series.Notes to this report/summary: The monthly portion of the Airport Traffic Report covers all the airports which submitted data for the period under review.

The Year-to-Date data is the cumulative result of only those airports with complete data series for the calendar year-to-date. The 12-months ending data is the cumulative result of only those airports with complete data series for the month under review and the previous 11 months.The Worldwide Airport Traffic Summary is a comparison of airports with complete data for the 12-month period under review.The trend charts consist of airports with complete data series for the periods mentioned.The Airport Traffic Report Summary (SUM-YTD) is a comparison of only those airports with complete data series for both the month under review and the calendar year-to-date. The Airport Traffic Report Summary (SUM-YE) is a comparison of only those airports with complete data series for both the month under review and the previous 11 months.

- 25 - Notes/definitions on page 25

Page 27: ACI OCT 2010 WORLD AIRPORTS STATISTICS

ACI STATISTICS REGIONS

Page 28: ACI OCT 2010 WORLD AIRPORTS STATISTICS

Codes --------- AD Andorra AE United Arab Emirates AF Afghanistan AG Antigua and Barbuda AI Anguilla AL Albania AM Armenia AN Netherlands Antilles AO Angola AR Argentina AS American Samoa AT Austria AU Australia AW Aruba AZ Azerbaijan BB Barbados BD Bangladesh BA Bosnia and Herzegovina BE Belgium BF Burkina Faso BG Bulgaria BH Bahrain BI Burundi BJ Benin BM Bermuda BN Brunei Darussalam BO Bolivia BR Brazil BS Bahamas BT Bhutan BW Bostwana BY Belarus BZ Belize CA Canada CC Cocos (Keeling) Islands CF Central African Republic CD Congo, Democratic Republic of CG Congo, Republic of CH Switzerland CI Cote d'Ivoire CK Cook Islands CL Chile CM Cameroon CN China CO Colombia CR Costa Rica CS Serbia and Montenegro CU Cuba CV Cape Verde CX Christmas Island CY Cyprus CZ Czech Republic DE Germany DJ Djibouti DK Denmark DM Dominica DO Dominican Republic DZ Algeria EC Ecuador EE Estonia EG Egypt ER Eritrea ES Spain ET Ethiopia FI Finland FJ Fiji FK Falkland Islands FM Micronesia FO Faroe Islands FR France

GA Gabon GB United Kingdom GD Grenada GE Georgia GF French Guiana GH Ghana GI Gibraltar GL Greenland GM Gambia GN Guinea GP Guadeloupe GQ Equatorial Guinea GR Greece GT Guatemala GU Guam GW Guinea-Bissau GY Guyana HN Honduras HR Croatia HT Haiti HU Hungary ID Indonesia IE Ireland IL Israel IN India IQ Iraq IR Iran (Islamic Rep.) IS Iceland IT Italy

JM Jamaica JO Jordan JP Japan KE Kenya KG Kyrgyzstan KH Cambodia KI Kiribati KM Comoros KN Saint Kitts and Nevis KP Korea, Democratic Rep. KR Korea, Republic of KW Kuwait KY Cayman Islands KZ Kazakhstan LA Lao People's Democratic Republic LB Lebanon LC Saint Lucia LK Sri Lanka LR Liberia LS Lesotho LT Lithuania LU Luxembourg LV Latvia LY Libyan Arab Jamahiriya

MA Morocco MC Monaco MD Moldovia MG Madagascar MH Marshall Islands MK Macedonia, Frmr Yugoslav Rep of ML Mali MM Myanmar MN Mongolia MO Macau MP Northern Mariana Islands MQ Martinique MR Mauritania MT Malta MU Mauritius MV Maldives MW Malawi

Page 29: ACI OCT 2010 WORLD AIRPORTS STATISTICS

MX Mexico MY Malaysia

MZ Mozambique

NA Namibia NC New Caledonia NE Niger NF Norfolk Island NG Nigeria NI Nicaragua NL Netherlands NO Norway NP Nepal NR Nauru NU Niue NZ New Zealand OM Oman PA Panama PE Peru PF French Polynesia PG Papua New Guinea PH Philippines PK Pakistan PL Poland PM St. Pierre and Miquelon PR Puerto Rico PT Portugal PW Palau PY Paraguay QA Qatar RE Reunion RO Romania RU Russia, Federation of RW Rwanda SA Saudi Arabia SB Solomon Islands SC Seychelles, Republic of SD Sudan SE Sweden SG Singapore SH St. Helena SI Slovenia SK Slovakia SL Sierra Leone SM San Marino SN Senegal SO Somalia SR Suriname ST Sao Tome and Principe SV El Salvador SY Syrian Arab Republic SZ Swaziland

TC Turks and Caicos Islands TD Chad TG Togo TH Thailand TJ Tajikistan TM Turkmenistan TN Tunisia TO Tonga TR Turkey TT Trinidad and Tobago TV Tuvalu TW Chinese Taipei TZ Tanzania, United Republic of UA Ukraine UG Uganda UM US, Minor Outlying Islands US United States of America UY Uruguay UZ Uzbekistan

VC St. Vincent & Grenadines VE Venezuela VG Virgin Islands, British VI Virgin Islands, US VN Vietnam VU Vanuatu WF Wallis and Fortuna Islands WS Samoa YE Yemen, Republic of ZA South Africa ZM Zambia ZW Zimbabwe CANADA AB Alberta BC British Columbia MB Manitoba NB New Brunswick NF Newfoundland NS Nova Scotia NT Northwest Territories NU Nunavut ON Ontario PE Prince Edward Island QC Quebec SK Saskatchewan YT Yukon Territory USA AK Alaska AL Alabama AR Arkansas AZ Arizona CA California CO Colorado CT Connecticut DC District of Columbia DE Delaware FL Florida GA Georgia HI Hawaii IA Iowa ID Idaho IL Illinois IN Indiana KS Kansas KY Kentucky LA Louisiana MA Massachusetts MD Maryland ME Maine MI Michigan MN Minnesota MO Missouri MS Mississippi MT Montana NC North Carolina ND North Dakota NE Nebraska NH New Hampshire NJ New Jersey NM New Mexico NV Nevada NY New York OH Ohio OK Oklahoma OR Oregon PA Pennsylvania RI Rhode Island SC South Carolina SD South Dakota TN Tennessee TX Texas UT Utah VA Virginia VT Vermont WA Washington WI Wisconsin WV West Virginia WY Wyoming