Statistical A nnex Contents · 2017-04-22 · Volume 15 • March 2017 – Statistical Annex Annex–2 The UNWTO World Tourism Barometer is a publication of the World Tourism Organization

Annex–1

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Statistical Annex The following pages contain detailed tables on tourism related indicators such as international tourist arrivals, international tourism receipts and expenditure collected by UNWTO from national institutions, as well as data on air transport and the UNWTO Panel of Experts. Tables reflect yearly data and monthly or quarterly data currently available. Most data is preliminary and may be subject to revision. See the boxes for further information on the data. The tables on the following pages are not included in the free extract of the UNWTO World Tourism Barometer. The full document is available in electronic format for sale and free for UNWTO members and subscribed institutions through the UNWTO elibrary at: English version: www.e-unwto.org/content/w83v37 French version: www.e-unwto.org/content/t73863 Spanish version: www.e-unwto.org/content/rn1422 Russian version: www.e-unwto.org/content/j62835

Contents • International Tourist Arrivals by (Sub)region and Outlook A-3 • International Tourist Arrivals, monthly evolution A-4 • International Tourism, World and by (Sub)region A-7 • International Tourist Arrivals and Tourism Receipts (local currencies, constant prices), World and subregions A-8 • International Tourism, export and merchandise trade A-8 • International Tourist Arrivals by Country of Destination (Top 50) A-9 • International Tourism Receipts in US$ (Top 50) A-10 • International Tourism Receipts in euro (Top 50) A-11 • International Tourism Expenditure in US$ (Top 50) A-12 • International Tourism Expenditure in euro (Top 50) A-13 • World’s Top Tourism Spenders A-14 • Detailed tables by UNWTO regions and subregions:

International Tourist Arrivals and Tourism Receipts - Europe A-16 - Asia and the Pacific A-18 - Americas A-20 - Africa A-22 - Middle East A-24 • UNWTO Panel of Tourism Experts A-25 • Hospitality: The global hospitality industry in 2016 – STR A-29

Explanation of abbreviations and signs used * = provisional figure or data | = change of series .. = figure or data not (yet) available n/a = not applicable mn = million (1,000,000 bn = billion (1,000,000,000) [note in Spanish ‘miles de millones’] trn = trillion (1,000,000,000,000) [note in Spanish ‘billones’] Q1: January, February, March T1: From January to April Q2: April, May, June T2: From May to August Q3: July, August, September T3: From September to December Q4: October, November, December H1: From January to June H2: From July to December YTD: Year to date, variation of months with data available compared with the same period of the previous year. The (sub)regional totals are approximations for the whole (sub)region based on trends for the countries with data available. Series International Tourist Arrivals TF: International tourist arrivals at frontiers (excluding same-day visitors); VF: International visitor arrivals at frontiers (tourists and same-day visitors); THS: International tourist arrivals at hotels and similar establishments; TCE: International tourist arrivals at collective tourism establishments; NHS: Nights of international tourists in hotels and similar establishments; NCE: Nights of international tourists in collective tourism establishments. Series International Tourism Receipts and Expenditure All percentages are derived from non-seasonally adjusted series in local currencies, unless otherwise indicated: $: US$; €: euro; sa: seasonally adjusted series. For main concepts, definitions and classifications for the measurement of tourism, please see the International Recommendations for Tourism Statistics 2008 (IRTS 2008) at <statistics.unwto.org/content/irts-2008>.

Volume 15 • March 2017 – Statistical Annex

http://www.e-unwto.org/content/w83v37

http://www.e-unwto.org/content/t73863

http://www.e-unwto.org/content/rn1422

http://www.e-unwto.org/content/j62835

http://statistics.unwto.org/content/irts-2008


Annex–2

The UNWTO World Tourism Barometer is a publication of the World Tourism Organization (UNWTO). By monitoring short-term tourism trends on a regular basis, UNWTO aims to provide all those involved, directly or indirectly, in tourism with adequate up-to-date statistics and analysis in a timely fashion. The UNWTO World Tourism Barometer is periodically updated. Issues contain as regular sections: an overview of short-term tourism data from destinations, generating countries and air transport; the results of the latest survey among the UNWTO Panel of Tourism Experts, providing an evaluation of and prospects for short-term tourism performance; and selected economic data relevant for tourism. The objective for future editions of the UNWTO World Tourism Barometer will be to broaden its scope and improve coverage gradually over time. The UNWTO World Tourism Barometer is prepared by UNWTO’s Tourism Market Trends Programme. The UNWTO Secretariat wishes to express its sincere gratitude to all those who have participated in the elaboration of the UNWTO World Tourism Barometer, in particular all institutions that supplied data, and to the members of the UNWTO Panel of Tourism Experts for their valuable contributions. For more information on the UNWTO World Tourism Barometer, including copies of previous issues, please refer to the Facts & Figures section on the UNWTO website at mkt.unwto.org. We welcome your comments and suggestions at [email protected], tel.: +34 915678198 / fax: +34 915713733.

The monthly or quarterly statistics included in this issue have been compiled by the UNWTO Secretariat based on preliminary data as disseminated by the institutions (e.g. National Tourism Authorities, Statistics Offices, Central Banks) of the various countries and territories through websites, news releases, and bulletins, or provided through direct contacts with officials or through international organisations such as the Caribbean Tourism Organization (CTO), the European Travel Commission (ETC), Eurostat, the Pacific Asia Travel Association (PATA) or the South Pacific Tourism Organization (SPTO). Information in this issue reflects data available at the time of preparing the UNWTO World Tourism Barometer. Whenever necessary, updated data will be included over time as it becomes available and without further notice. In the tables on International Tourist Arrivals for the various UNWTO regions, series are chosen that can serve as an indicator of trends in tourism development to selected destinations. The monthly series represented do not coincide in all cases with the annual series usually reported for the various countries (e.g. visitor arrivals or nights instead of tourist arrivals) and sometimes only relate to a part of the total tourism flow (e.g. air traffic, specific entry points). Please refer to the box on page ‘Annex-1’ for further explanations. The (sub)regional totals are approximations for the whole (sub)region prepared by UNWTO based on trends in the countries with data available.

Countries that are not included in this overview, but which have monthly data at their disposal, are kindly requested to contact the UNWTO Secretariat at [email protected].

The World Tourism Organization (UNWTO) is the United Nations specialized agency mandated with the promotion of responsible, sustainable and universally accessible tourism. UNWTO’s membership includes 157 countries, 6 Associate Members, two Permanent Observers, and over 500 Affiliate Members representing the private sector, educational institutions, tourism associations and local tourism authorities.

Copyright © 2017 World Tourism Organization Calle Capitán Haya, 42, 28020 Madrid, Spain

UNWTO World Tourism Barometer ISSN: 1728-9246

Published and printed by the World Tourism Organization, Madrid, Spain - First printing: 2017 (version 13/04/17) All rights reserved

The designations employed and the presentation of material in this publication do not imply the expression of any opinions whatsoever on the part of the Secretariat of the World Tourism Organization (UNWTO) concerning the legal status of any country, territory, city or area, or of its authorities or concerning the delimitation of its frontiers or boundaries.

All UNWTO publications are protected by copyright. Therefore and unless otherwise specified, no part of a UNWTO publication may be reproduced, stored in a retrieval system or utilized in any form or by any means, electronic or mechanical, including photocopying, microfilm, scanning, without prior permission in writing. UNWTO encourages dissemination of its work and is pleased to consider permissions, licensing, and translation requests related to UNWTO publications. For permission to photocopy UNWTO material, please refer to the UNWTO website at publications.unwto.org/content/rights-permissions.

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Data collection for this issue was closed end of March 2017. The next issue of the UNWTO World Tourism Barometer is scheduled for May.

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Annex–3

International Tourist Arrivals by (Sub)region

Full year Share Change Monthly/quarterly data series

(percentage change over same period of the previous year)

2000 2005 2010 2014 2015 2016* 2016* 15/14 16*/15 2016* 2015*

(million) (%) (%) Q1 Q2 Q3 Q4 Jul Aug Sep Oct Nov Dec Q1 Q2 Q3 Q4

World 674 809 953 1,137 1,189 1,235 100 4.5 3.9 7.1 1.2 2.9 5.4 3.8 1.3 3.9 3.6 5.6 7.3 5.1 3.8 5.1 4.1

Advanced economies¹ 424 470 516 622 653 685 55.5 4.9 5.0 8.1 2.8 4.2 6.4 5.3 1.9 5.7 4.2 6.8 8.8 4.8 5.0 4.7 5.4

Emerging economies¹ 250 339 437 515 536 550 44.5 4.0 2.6 6.1 -0.8 1.1 4.4 1.5 0.4 1.6 2.9 4.3 5.9 5.5 2.1 5.6 2.7

By UNWTO regions:

Europe 386.6 453.2 489.0 575.6 602.6 615.0 49.8 4.7 2.1 6.8 -0.6 0.6 4.4 1.1 -1.1 2.2 1.8 5.3 7.4 5.2 4.9 5.5 3.8Northern Europe 44.8 59.9 62.8 70.8 75.4 80.2 6.5 6.5 6.4 10.8 3.4 6.1 7.1 5.8 6.8 5.3 -0.2 12.7 11.0 3.5 4.8 7.3 10.0Western Europe 139.7 141.7 154.4 174.4 180.3 179.8 14.6 3.4 -0.3 5.5 -3.8 -2.6 4.2 -1.3 -5.6 0.0 0.0 5.1 8.8 4.1 3.7 4.9 -0.8Central/Eastern Eur. 69.6 95.3 98.5 115.6 121.4 126.3 10.2 5.0 4.0 7.1 3.0 3.0 3.4 3.7 2.4 2.8 3.5 2.9 3.7 6.1 7.4 7.7 4.3Southern/Medit. Eur. 132.6 156.4 173.3 214.8 225.5 228.7 18.5 4.9 1.4 6.3 -1.2 0.3 4.3 0.3 -1.5 2.8 2.6 4.4 7.6 6.5 4.6 4.6 5.2

- of which EU-28 330.5 367.9 384.3 454.0 477.8 499.6 40.4 5.2 4.6 8.6 2.3 3.4 6.7 4.1 1.4 5.2 4.2 7.8 9.3 5.3 5.6 5.4 4.7

Asia and the Pacific 110.4 154.1 208.1 269.5 284.1 308.6 25.0 5.4 8.6 9.6 8.4 10.2 6.6 14.3 8.2 8.3 6.7 5.8 7.2 4.3 5.0 5.5 6.3North-East Asia 58.3 85.9 111.5 136.3 142.1 154.3 12.5 4.3 8.6 8.9 8.6 10.3 6.8 16.7 6.9 7.8 6.0 5.9 8.7 4.5 4.6 1.6 6.4South-East Asia 36.3 49.0 70.5 97.0 104.2 113.0 9.1 7.4 8.4 10.4 8.6 9.8 4.9 11.4 9.4 8.4 6.6 4.2 4.1 4.9 7.3 10.3 6.1Oceania 9.6 10.9 11.4 13.3 14.3 15.7 1.3 7.6 9.7 10.2 9.3 10.8 8.7 11.9 9.7 10.8 9.6 7.4 9.2 8.7 5.9 6.7 8.5South Asia 6.1 8.3 14.7 22.9 23.5 25.7 2.1 2.5 9.4 9.2 5.6 11.2 11.0 14.2 9.8 9.7 10.5 10.5 11.7 -1.4 -3.2 9.8 5.1

Americas 128.2 133.3 150.1 181.9 192.7 200.2 16.2 6.0 3.9 6.4 0.5 4.0 4.9 4.3 2.4 5.6 5.5 3.8 5.2 8.0 4.6 5.2 6.3North America 91.5 89.9 99.5 120.9 127.6 131.4 10.6 5.5 3.0 4.9 -0.2 3.2 4.7 3.5 1.5 5.1 6.1 3.1 4.8 5.2 5.8 5.3 5.7Caribbean 17.1 18.8 19.5 22.3 24.1 25.3 2.0 8.1 4.8 6.3 2.7 5.7 4.3 7.0 3.2 7.0 1.1 4.8 6.0 8.0 7.6 8.9 8.0Central America 4.3 6.3 7.8 9.6 10.2 10.8 0.9 6.8 5.7 9.5 2.9 6.1 3.8 10.9 5.4 0.3 9.1 1.2 2.4 5.3 5.7 7.1 9.2South America 15.3 18.3 23.2 29.1 30.8 32.7 2.7 5.9 6.3 9.6 1.0 5.9 6.3 3.7 6.1 8.7 4.8 7.0 6.8 17.9 -4.0 1.5 6.5

Africa 26.2 34.8 50.4 55.0 53.4 57.8 4.7 -2.9 8.2 7.8 1.1 11.2 11.6 12.3 11.2 9.7 11.4 10.2 12.9 -6.1 -8.9 -5.9 -2.5North Africa 10.2 13.9 19.7 20.4 18.0 18.6 1.5 -12.0 3.4 -6.0 -9.7 12.1 13.2 14.2 11.7 9.1 9.0 12.1 18.3 -9.2 -14.4 -12.7 -10.2Subsaharan Africa 16.0 20.9 30.7 34.6 35.4 39.2 3.2 2.4 10.7 13.8 7.4 10.5 10.9 10.7 10.9 9.9 12.5 9.5 10.8 -4.7 -5.4 -0.3 1.0

Middle East 22.4 33.7 55.4 55.4 55.9 53.6 4.3 0.8 -4.0 -1.2 -9.7 -8.4 3.6 -14.8 -6.5 -4.5 -7.6 8.8 9.1 10.0 -4.7 7.7 -6.6

Source: World Tourism Organization (UNWTO) © (Data as collected by UNWTO March 2017)¹ Classification based on the International Monetary Fund (IMF), see the Statistical Annex of the IMF World Economic Outlook of April 2016, page 146, at www.imf.org/external/ns/cs.aspx?id=29.See box at page 'Annex-1' for explanation of abbreviations and signs used

Outlook for International Tourist Arrivals2008 2009 2010 2011 2012 2013 2014 2015 2016* average projection 2017*

real, change a year (issued January)full year 2005-2016 between

World 2.0% -3.9% 6.7% 4.7% 4.7% 4.6% 4.1% 4.5% 3.9% 3.9% +3% and +4%Europe 0.3% -5.1% 3.0% 6.3% 3.9% 4.7% 1.8% 4.7% 2.1% 2.8% +2% and +3%Asia and the Pacific 1.4% -1.4% 13.4% 6.5% 7.3% 6.8% 6.1% 5.4% 8.6% 6.5% +5% and +6%Americas 2.7% -4.9% 6.4% 3.7% 4.5% 3.0% 8.5% 6.0% 3.9% 3.8% +4% and +5%Africa 2.9% 4.5% 9.3% -0.7% 4.5% 4.5% 0.7% -2.9% 8.2% 4.7% +5% and +6%Middle East 20.0% -5.4% 14.6% -9.3% 3.2% -1.5% 8.4% 0.8% -4.0% 4.3% +2% and +5%Source: World Tourism Organization (UNWTO) © (Data as collected by UNWTO March 2017)


Annex–4

International Tourist Arrivals (% change over same period of the previous year)

Source: World Tourism Organization (UNWTO) ©

5

2

-9

7 7

3

6

13

10

6 67

-1

2

87

35 5 4

7 8

3

6

87

6

-12

21

4

6

0

4

1

9 810 9

35

6 6

3

11

-4

4.1 4.5

-14

-12

-10

-8

-6

-4

-2

0

2

4

6

8

10

12

14

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14/13 15*/14 16*/15 Jan - Dec

International Tourist Arrivals, monthly evolution Advanced economies & Emerging economies (% change)


-20

-15

-10

-5

0

5

10

15

2009 2010 2011 2012 2013 2014 2015 2016*

Advanced economies

Emerging economies

International Tourist Arrivals (% change)


-0.4

-4.6

5.2 4.7 4.0 4.65.7 4.9 5.0

9.7

5.1

-3.0

8.4

4.65.6

4.6

2.14.0

2.64.4

-6-4-202468

1012

07/06 08/07 09/08 10/09 11/10 12/11 13/12 14/13 15*/14 16*/15Jan -Dec

Advanced economies

Emerging economies

International Tourist Arrivals, monthly evolution Advanced economies (million)


0

10

20

30

40

50

60

70

80

90

100

1 2 3 4 5 6 7 8 9 10 11 12

20122013201420152016*

International Tourist Arrivals, monthly evolution Emerging economies (million)


0

10

20

30

40

50

60

70

1 2 3 4 5 6 7 8 9 10 11 12

20122013201420152016*


Annex–5

International Tourist Arrivals, monthly evolution International Tourist Arrivals, monthly evolutionWorld (% change) Europe (% change)

Source: World Tourism Organization (UNWTO) © Source: World Tourism Organization (UNWTO) ©

International Tourist Arrivals, monthly evolution International Tourist Arrivals, monthly evolutionAsia and the Pacific (% change) Americas (% change)


International Tourist Arrivals, monthly evolution International Tourist Arrivals, monthly evolutionMiddle East (% change) Africa (% change)


-15

-10

-5

0

5

10

15

2009 2010 2011 2012 2013 2014 2015 2016*-20

-15

-10

-5

0

5

10

15

2009 2010 2011 2012 2013 2014 2015 2016*

-15

-10

-5

0

5

10

15

20

25

2009 2010 2011 2012 2013 2014 2015 2016*-15

-10

-5

0

5

10

15

20

2009 2010 2011 2012 2013 2014 2015 2016*

-50

-40

-30

-20

-10

0

10

20

30

40

50

60

2009 2010 2011 2012 2013 2014 2015 2016*-15

-10

-5

0

5

10

15

20

25

2009 2010 2011 2012 2013 2014 2015 2016*


Annex–6

International Tourist Arrivals, monthly evolution International Tourist Arrivals, monthly evolution

World (million) Europe (million)


International Tourist Arrivals, monthly evolution International Tourist Arrivals, monthly evolution Asia and the Pacific (million) Americas (million)


International Tourist Arrivals, monthly evolution International Tourist Arrivals, monthly evolution Middle East (million) Africa (million)


50

60

70

80

90

100

110

120

130

140

150

1 2 3 4 5 6 7 8 9 10 11 12

20122013201420152016*

0

10

20

30

40

50

60

70

80

90

1 2 3 4 5 6 7 8 9 10 11 12

20122013201420152016*

0

5

10

15

20

25

30

35

1 2 3 4 5 6 7 8 9 10 11 12

20122013201420152016*

0

5

10

15

20

25

1 2 3 4 5 6 7 8 9 10 11 12

20122013201420152016*

0

1

2

3

4

5

6

7

1 2 3 4 5 6 7 8 9 10 11 12

20122013201420152016*

0

1

2

3

4

5

6

7

1 2 3 4 5 6 7 8 9 10 11 12

20122013201420152016*


Annex–7

International Tourism, World

1990 2000 2005 2008 2009 2010 2011 2012 2013 2014 2015* 09/08 10/09 11/10 12/11 13/12 14/13 15*/14 09/08 10/09 11/10 12/11 13/12 14/13 15*/14

International Tourist Arrivals (overnight visitors) (million) Change (%)

435 674 809 930 893 953 998 1,045 1,093 1,137 1,189 -3.9 6.7 4.7 4.7 4.6 4.1 4.5

Index (2008=100) 100 96 103 107 112 118 122 128

International Tourism Receipts (billion) Change, current prices (%) Change, constant prices (%)

Local currencies -3.6 8.5 8.4 7.2 8.1 6.2 5.1 -5.1 5.8 4.5 4.0 5.6 4.1 4.1

Index (2008=100, real terms) 100 95 100 105 109 115 120 125

US$ 271 495 701 967 882 961 1,074 1,110 1,197 1,250 1,194 -8.9 9.0 11.7 3.4 7.8 4.4 -4.5 -8.6 7.2 8.3 1.3 6.3 2.8 -4.6

Euro 213 536 564 658 632 725 771 864 901 941 1,076 -3.9 14.6 6.4 12.0 4.3 4.4 14.4 -4.2 12.8 3.6 9.3 2.9 3.9 14.4

Source: World Tourism Organization (UNWTO) © (Data as collected by UNWTO March 2017) International Tourism by (Sub)region

International Tourism Receipts International Tourist Arrivals

Change US$ euro Share abs. Change Share

Local currencies, per per

constant prices (%) (billion) arrival (billion) arrival (%) (million) (%) (%)

13/12 14/13 15*/14 2014 2015* 2015* 2014 2015* 2015* 2015* 2014 2015* 13/12 14/13 15*/14 2015*

World 5.6 4.1 4.1 1,250 1,194 1,000 941 1,076 910 100 1,137 1,189 4.6 4.1 4.5 100

Advanced economies¹ 6.0 5.0 3.0 828 773 1,180 623 697 1,070 64.7 622 653 4.6 5.7 4.9 54.9

Emerging economies¹ 4.7 2.6 6.2 422 421 790 318 379 710 35.3 515 536 4.6 2.1 4.0 45.1

Europe 4.1 4.2 2.9 512.9 449.7 750 386.1 405.3 670 37.7 575.6 602.6 4.7 1.8 4.7 50.7

Northern Europe 7.6 5.7 7.5 81.4 77.3 1,030 61.3 69.7 920 6.5 70.8 75.4 2.4 5.3 6.5 6.3

Western Europe 2.2 3.4 0.2 174.2 146.9 810 131.1 132.4 730 12.3 174.4 180.3 2.8 2.1 3.4 15.2

Central/Eastern Europe 3.4 -1.0 -1.2 58.2 49.7 410 43.8 44.8 370 4.2 115.6 121.4 7.5 -8.8 5.0 10.2

Southern/Medit. Europe 4.8 6.1 5.1 199.1 175.9 780 149.9 158.5 700 14.7 214.8 225.5 5.6 6.9 4.9 19.0

- of which EU-28 3.8 4.5 3.4 426.4 372.7 780 321.0 335.9 700 31.2 454.0 477.8 3.9 4.8 5.2 40.2

Asia and the Pacific 8.5 1.4 2.5 358.7 349.1 1,230 270.0 314.7 1,110 29.2 269.5 284.1 6.8 6.1 5.4 23.9

North-East Asia 9.1 -1.6 -3.7 176.9 167.1 1,180 133.1 150.6 1,060 14.0 136.3 142.1 3.4 7.3 4.3 12.0

South-East Asia 10.6 2.1 8.0 108.2 108.5 1,040 81.4 97.8 940 9.1 97.0 104.2 11.2 2.9 7.4 8.8

Oceania 1.5 7.7 10.9 44.2 42.0 2,950 33.3 37.9 2,660 3.5 13.3 14.3 4.6 6.1 7.6 1.2

South Asia 8.7 8.5 7.4 29.4 31.5 1,340 22.1 28.4 1,210 2.6 22.9 23.5 10.7 12.9 2.5 2.0

Americas 6.6 6.5 8.0 288.3 304.3 1,580 217.0 274.2 1,420 25.5 181.9 192.7 3.0 8.5 6.0 16.2

North America 7.4 6.8 8.2 225.3 238.8 1,870 169.6 215.2 1,690 20.0 120.9 127.6 3.6 9.7 5.5 10.7

Caribbean 3.2 5.1 7.2 26.7 28.5 1,180 20.1 25.7 1,060 2.4 22.3 24.1 2.6 5.5 8.1 2.0

Central America 7.2 5.5 6.7 10.6 11.4 1,110 7.9 10.3 1,000 1.0 9.6 10.2 2.6 5.6 6.8 0.9

South America 3.3 6.3 7.2 25.7 25.6 830 19.3 23.1 750 2.1 29.1 30.8 1.4 7.1 5.9 2.6

Africa 2.4 3.8 0.5 36.5 32.8 610 27.5 29.5 550 2.7 55.0 53.4 4.5 0.7 -2.9 4.5

North Africa -2.1 8.3 -8.8 11.0 8.9 490 8.3 8.0 450 0.7 20.4 18.0 5.8 -1.4 -12.0 1.5

Subsaharan Africa 4.2 2.0 4.4 25.6 23.9 670 19.2 21.5 610 2.0 34.6 35.4 3.6 1.9 2.4 3.0

Middle East -3.2 10.3 7.4 53.7 58.4 1,040 40.4 52.6 940 4.9 55.4 55.9 -1.5 8.4 0.8 4.7

Source: World Tourism Organization (UNWTO) © (Data as collected by UNWTO March 2017)

¹ Classification based on the International Monetary Fund (IMF), see the Statistical Annex of the IMF World Economic Outlook of April 2016, page 146, at www.imf.org/external/ns/cs.aspx?id=29.

See box at page 'Annex-1' for explanation of abbreviations and signs used


Annex–8

International Tourist Arrivals and Tourism Receipts (local currencies, constant prices)World Change over previous year (%)


-6

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12

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

Arrivals Receipts

International Tourist Arrivals and Tourism Receipts (local currencies, constant prices)World and subregions (% change 2015/2014)


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International Tourist ArrivalsInternational Tourism Receipts

International Tourism (BOP Travel & Passenger transport) and exportWorld (US$ billion)

Source: World Tourism Organization (UNWTO) and World Trade Organization (WTO)

0

500

1,000

1,500

2,000

2,500

3,000

3,500

1995 2000 2005 2010 2015

International TourismChemicalsFuelsAutomotive productsFood

International Tourism (BOP Travel & Passenger transport)and merchandise trade (% change over previous year)

Source: World Tourism Organization (UNWTO) and World Trade Organization (WTO)

-15

-10

-5

0

5

10

15

'06/'05 '07/'06 '08/'07 '09/'08 '10/'09 '11/'10 '12/'11 '13/'12 '14/'13 '15/'14

Merchandise trade

International Tourism


Annex–9

International Tourist Arrivals by Country of Destination

Full year Change Monthly/quarterly data (% change over same period of the previous year)

Rank Series 2000 2005 2010 2014 2015 2016* 14/13 15*/14 Series 2016* 2015*

'15 '14 (million) (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4

World 674 809 953 1137 1189 1235 4.1 4.5 3.9 7.1 1.2 2.9 5.4 3.6 5.6 7.3 5.1 3.8 5.1 4.1

1 1 France TF 77.2 75.0 77.6 83.7 84.5 .. 0.1 0.9 TCE -4.0 0.3 -6.7 -6.3 4.3 -4.7 7.0 15.8 2.9 2.4 3.3 -5.12 2 United States TF 51.2 49.2 60.0 75.0 77.5 .. 7.2 3.3 TF -2.3 0.1 -4.6 4.2 3.9 2.2 3.43 3 Spain TF 46.4 55.9 52.7 64.9 68.5 75.6 7.0 5.5 TF 10.3 13.9 10.4 8.2 11.1 11.0 9.2 13.3 4.8 4.9 4.5 8.94 4 China TF 31.2 46.8 55.7 55.6 56.9 59.3 -0.1 2.3 TF 4.2 4.5 4.1 4.1 4.1 4.1 4.1 4.1 2.1 4.1 1.6 1.35 5 Italy TF 41.2 36.5 43.6 48.6 50.7 52.6 1.8 4.4 TF 3.7 4.1 4.6 4.8 0.3 -3.3 2.7 3.9 4.0 6.6 2.0 6.16 6 Turkey TF 9.6 24.2 31.4 39.8 39.5 .. 5.3 -0.8 TF -28.5 -9.9 -34.6 -34.3 -19.0 -23.0 -18.8 -10.9 4.0 -5.1 0.8 -2.67 7 Germany TCE 19.0 21.5 26.9 33.0 35.0 35.6 4.6 6.0 TCE 1.7 5.9 0.9 0.0 1.7 -0.3 3.2 2.7 5.4 5.8 6.6 5.68 8 United Kingdom TF 23.2 28.0 28.3 32.6 34.4 .. 5.0 5.6 VF 3.4 7.7 -0.2 1.5 6.4 -5.1 17.1 10.8 2.0 5.2 4.7 7.99 9 Mexico TF 20.6 21.9 23.3 29.3 32.1 35.0 21.5 9.4 TF 8.9 11.2 6.1 8.2 10.1 16.6 4.9 9.7 7.0 8.2 12.8 9.7

10 14 Thailand TF 9.6 11.6 15.9 24.8 29.9 32.6 -6.5 20.6 TF 8.9 15.4 8.2 13.1 -0.9 0.5 -4.4 1.1 22.9 36.9 24.4 4.711 12 Russian Federation VF 21.2 22.2 22.3 25.4 26.9 24.6 -17.4 5.6 VF -8.6 -2.6 -7.0 -9.2 -14.2 10.8 10.8 4.4 -1.912 13 Austria TCE 18.0 20.0 22.0 25.3 26.7 28.1 1.9 5.6 TCE 5.2 10.3 -3.3 5.7 5.8 9.8 3.6 4.0 5.5 5.2 9.9 -0.713 10 Hong Kong (China) TF 8.8 14.8 20.1 27.8 26.7 26.6 8.2 -3.9 TF -0.5 -5.8 1.8 -0.4 2.4 -0.8 1.9 6.1 -3.5 -4.1 -6.7 -1.114 11 Malaysia TF 10.2 16.4 24.6 27.4 25.7 26.8 6.7 -6.3 TF 4.0 2.8 4.6 3.3 5.3 11.7 2.5 2.5 -8.6 -10.3 -3.8 -2.315 15 Greece TF 13.1 14.8 15.0 22.0 23.6 24.8 23.0 7.1 TF 5.1 -6.2 -0.2 6.5 15.9 17.3 11.7 15.6 45.6 15.0 2.6 -2.116 22 Japan VF 4.8 6.7 8.6 13.4 19.7 24.0 29.4 47.1 VF 21.8 39.3 19.0 17.1 15.5 16.8 13.8 15.7 43.7 48.0 53.7 42.817 16 Saudi Arabia TF 6.6 8.0 10.9 18.3 18.0 18.0 15.8 -1.5 TF 0.3 8.5 6.5 -15.8 0.2 0.2 0.2 0.2 13.4 -15.3 0.8 -3.818 17 Canada TF 19.6 18.8 16.2 16.5 18.0 20.0 3.0 8.7 TF 11.1 18.3 7.2 11.0 12.1 12.5 12.7 11.3 7.0 10.2 8.1 9.219 18 Poland TF 17.4 15.2 12.5 16.0 16.7 .. 1.3 4.6 TF 2.3 2.3 2.4 3.3 5.9 5.4 3.220 21 Netherlands TCE 10.0 10.0 10.9 13.9 15.0 15.8 9.0 7.8 TCE 5.5 16.9 -0.1 3.0 7.8 10.0 3.4 9.8 6.8 6.8 8.7 8.421 26 Hungary TF 3.0 10.0 9.5 12.1 14.3 15.3 14.3 17.9 TF 6.6 21.3 9.2 -1.3 4.7 14.0 20.2 21.0 14.322 19 Macao (China) TF 5.2 9.0 11.9 14.6 14.3 15.7 2.1 -1.8 TF 9.8 9.0 7.6 9.0 13.1 12.1 10.4 16.5 -9.8 -3.4 0.1 5.923 23 Utd Arab Emirates(2) THS 3.1 5.8 7.4 13.2 14.2 14.9 32.1 7.6 THS(2) 4.9 5.1 -5.4 6.1 13.0 6.8 17.5 14.7 10.8 2.1 16.8 2.224 24 India TF 2.6 3.9 5.8 13.1 13.3 .. n/a 1.4 TF 10.8 10.0 7.3 14.2 11.2 10.4 9.3 13.6 3.5 4.1 7.1 4.025 20 Korea (ROK) VF 5.3 6.0 8.8 14.2 13.2 17.2 16.6 -6.8 VF 30.3 12.1 30.2 68.3 16.2 14.7 13.8 20.3 12.1 -7.8 -28.3 3.726 28 Croatia TCE 5.3 7.7 9.1 11.6 12.7 13.8 6.2 9.1 TCE 8.8 21.8 0.1 10.8 19.2 14.7 27.0 29.2 24.4 6.8 10.1 3.027 25 Ukraine TF 6.4 17.6 21.2 12.7 12.4 13.3 -48.5 -2.2 TF28 27 Singapore TF 6.1 7.1 9.2 11.9 12.1 12.9 -0.3 1.6 VF 7.7 14.0 11.2 3.7 2.6 -0.7 2.6 5.6 -6.1 -0.5 5.8 4.529 29 Czech Republic TF 4.8 9.4 8.6 10.6 11.1 .. 3.1 5.0 TCE 6.7 11.9 1.7 5.6 10.3 10.4 8.7 11.8 7.4 7.7 9.2 5.330 30 Sweden TF 3.8 4.9 5.0 10.5 .. .. -4.2 .. TCE 7.0 9.0 6.0 7.7 1.6 10.6 7.3 12.4 18.131 33 Taiwan (pr. of China) VF 2.6 3.4 5.6 9.9 10.4 10.7 23.6 5.3 VF 2.4 16.0 2.2 -3.1 -4.0 -8.7 -5.1 1.4 5.4 1.5 5.5 8.732 32 Denmark TF 3.5 9.2 8.7 10.3 10.4 .. 20.0 1.5 TCE(1) 4.2 15.6 -0.6 3.3 5.3 3.2 6.2 7.1 7.2 4.2 6.9 10.033 31 Morocco TF 4.3 5.8 9.3 10.3 10.2 10.3 2.4 -1.0 TF 1.5 -0.5 -4.3 3.5 6.5 1.8 6.5 11.2 -0.5 -4.8 3.4 -4.734 36 Portugal TCE 5.7 6.0 6.8 9.3 10.1 11.4 11.8 9.3 TCE 12.7 20.0 9.8 10.3 16.1 14.2 20.5 15.4 9.8 8.2 9.2 10.835 ## Indonesia vf/TF .. .. .. .. 10.0 .. .. .. VF 15.5 11.6 13.4 19.7 16.9 18.6 20.0 12.9 11.2 8.4 13.1 8.536 38 Ireland TF 6.6 7.3 7.1 8.8 9.5 .. 6.7 8.1 TF* 10.9 16.5 10.8 10.5 7.2 7.8 4.3 9.4 14.1 10.3 13.5 17.837 37 Switzerland THS 7.8 7.2 8.6 9.2 9.3 9.2 2.1 1.6 THS -1.2 -1.3 -1.2 -2.7 2.0 -1.1 0.9 6.8 1.1 2.3 4.0 -2.938 34 Egypt TF 5.1 8.2 14.1 9.6 9.1 .. 5.0 -5.1 VF -42.1 -46.5 -55.1 -42.7 -18.4 -44.3 -10.5 25.4 6.9 9.3 -5.0 -28.939 35 South Africa TF 5.9 7.4 8.1 9.5 8.9 10.0 0.1 -6.8 TF 12.8 18.7 11.6 12.3 8.7 13.7 4.5 8.1 -5.9 -9.5 -5.4 -6.440 40 Belgium TCE 6.5 6.7 7.2 7.9 8.4 .. 2.6 5.9 TCE -13.2 -3.2 -18.4 -15.0 -10.3 5.6 9.7 8.8 -1.941 39 Vietnam VF 2.1 3.5 5.0 8.0 7.9 10.0 5.1 -0.2 VF 24.6 19.8 23.0 34.6 21.9 23.1 24.8 17.8 -11.8 -6.9 8.2 18.442 43 Australia VF 4.9 5.5 5.8 6.9 7.4 8.3 7.9 8.1 VF 11.0 11.4 11.8 12.5 8.8 11.1 7.7 8.1 9.6 5.3 7.9 9.143 41 Bulgaria TF 2.8 4.8 6.0 7.3 7.1 .. 6.0 -2.9 VF 13.8 6.7 15.8 12.8 19.2 17.6 20.0 20.4 4.2 0.1 -3.8 2.444 44 Slovakia TF 1.1 6.2 5.4 .. .. .. .. .. TCE 16.9 23.5 14.4 19.0 11.4 12.9 11.8 9.1 3.7 15.5 21.1 24.345 45 Brazil TF 5.3 5.4 5.2 6.4 6.3 6.6 10.6 -1.9 TF 56.0 -35.3 -28.7 6.746 46 Argentina TF 2.9 3.8 5.3 5.9 5.7 5.6 13.1 -3.3 TF -3.1 -3.3 -11.7 -0.1 1.3 3.2 1.3 0.0 5.4 -4.7 -8.8 -7.047 47 Dominican Rep. TF 3.0 3.7 4.1 5.1 5.6 6.0 9.6 8.9 TF 6.4 7.0 5.8 8.6 4.2 6.0 2.9 4.0 7.4 6.8 11.6 10.248 49 Norway TCE 3.1 3.8 4.8 4.9 5.4 .. 1.6 10.4 TCE 12.4 12.3 10.6 15.7 2.0 0.6 -0.4 6.1 -3.5 5.2 11.8 11.649 50 Philippines TF 2.0 2.6 3.5 4.8 5.4 6.0 0.0 10.9 TF 11.3 15.1 12.1 9.0 9.1 7.5 17.1 4.3 6.3 9.3 17.3 11.350 42 Tunisia TF 5.1 6.4 7.8 7.2 5.4 5.7 -2.6 -25.2 TF 6.8 -18.7 -20.6 31.1 27.0 22.8 24.3 33.1 -14.2 -25.1 -32.5 -20.7

Source: World Tourism Organization (UNWTO) © (Data as collected by UNWTO March 2017)See box at page 'Annex-1' for explanation of abbreviations and signs used, and corresponding notes in the tables of the regions


Annex–10

International Tourism Receipts (US$ billion)

Full year (US$) Local currencies, current prices (% change over same period of the previous year)

Rank 2000 2005 2010 2014 2015 2016* 15/14 16*/15 2016* 2015*

'15 '14 (billion) Series (%) YTD Q1 Q2 Q3 Q4 Sep Oct Nov Dec Q1 Q2 Q3 Q4

World 495 701 961 1,250 1,194 ..

1 1 United States 100.2 101.5 137.0 191.3 204.5 206.8 sa 6.9 1.1 1.1 3.1 -1.5 1.2 1.8 3.1 2.1 1.6 1.6 6.4 9.0 7.0 5.22 2 Spain 30.9 49.7 54.6 65.1 56.5 60.3 3.8 7.1 7.1 5.5 8.0 5.7 9.8 7.8 10.2 3.7 16.7 2.6 3.1 3.1 7.13 3 France 33.0 44.0 47.0 58.1 45.9 43.1 -5.4 -6.0 -6.0 -1.4 -14.1 -4.5 1.1 -3.5 -1.7 1.2 4.2 -11.5 -6.2 -5.2 1.54 4 United Kingdom 22.2 31.1 32.9 46.5 45.5 39.6 5.2 -1.4 -1.4 1.3 -7.9 -3.2 6.3 -1.4 12.8 -2.4 12.25 6 China 16.2 29.3 45.8 44.0 45.0 44.4 $ 2.1 -1.2 -1.2 7.7 1.4 -5.2 -6.3 0.5 3.7 3.3 0.86 9 Thailand 7.5 9.6 20.1 38.4 44.9 49.9 23.0 14.7 14.7 21.4 14.5 17.1 5.9 22.4 40.9 31.8 6.17 5 Italy 27.5 35.4 38.8 45.5 39.4 40.6 3.8 3.3 3.3 3.2 2.9 4.4 1.5 5.5 -0.9 2.4 5.0 5.4 5.8 1.7 4.08 7 Germany 18.7 29.2 34.7 43.3 36.9 37.4 2.0 1.7 1.7 -0.8 1.1 1.3 4.9 4.2 1.4 4.9 9.1 5.4 3.7 1.3 -1.59 10 Hong Kong (China) 5.9 10.3 22.2 38.4 36.2 32.7 -5.8 -9.3 -9.3 -15.1 -9.4 -8.3 -4.2 -3.8 -3.3 -7.6 -8.4

10 8 Macao (China) 3.2 6.9 22.3 42.7 31.0 29.9 -27.6 -3.4 -4.5 -14.5 -10.7 1.8 6.3 -28.7 -30.7 -26.0 -19.111 11 Australia 9.4 16.7 28.6 31.4 28.9 32.5 10.2 13.8 13.8 13.3 11.9 16.9 13.2 18.2 15.2 11.9 12.5 11.3 10.5 8.1 10.812 12 Turkey 7.6 19.2 22.6 29.6 26.6 18.7 $ -9.9 -29.6 -29.6 -16.8 -35.3 -33.0 -25.7 -28.1 -30.3 -24.5 -16.1 0.3 -15.9 -6.2 -15.513 17 Japan 3.4 6.6 13.2 18.9 25.0 30.7 51.4 10.4 10.4 27.1 4.5 10.0 2.3 11.6 2.3 0.6 3.8 64.0 53.6 58.2 34.814 15 India 3.5 7.5 14.5 19.7 21.0 22.4 9.6 15.1 15.1 15.9 12.0 15.4 16.7 13.1 16.6 14.4 18.7 3.6 14.4 13.7 8.415 14 Austria 9.8 16.1 18.6 20.8 18.2 19.3 4.8 6.2 6.2 10.5 -2.5 6.2 5.1 5.5 7.3 6.8 -1.516 22 Mexico 8.3 11.8 12.0 16.2 17.7 19.6 $ 9.4 10.4 10.4 8.1 7.8 13.5 12.5 13.3 14.6 12.7 11.1 9.9 11.6 8.6 7.517 13 Malaysia 5.0 8.8 18.1 22.6 17.5 16.9 -7.4 2.4 2.4 -0.9 4.2 3.4 3.2 -9.7 -10.2 -4.5 -5.018 23 Utd Arab Emirates 1.1 3.2 8.6 15.2 17.5 19.5 14.8 11.519 16 Singapore 5.1 6.2 14.2 19.1 16.6 18.4 -6.1 11.5 11.5 3.5 16.0 14.2 12.4 -12.0 -8.0 1.2 -5.220 21 Canada 10.8 13.7 15.8 17.7 16.6 18.2 7.9 13.6 13.6 14.0 8.5 14.7 17.4 10.5 9.1 5.6 7.821 20 Switzerland 6.6 10.0 14.7 17.8 16.4 15.9 -3.4 -0.3 -0.3 -1.9 -0.3 0.9 0.0 -2.6 -3.5 -3.1 -4.522 19 Greece 9.2 13.3 12.7 17.8 15.7 14.6 € 5.5 -6.5 -6.5 4.5 -9.7 -7.8 6.5 -2.0 13.7 -12.7 -2.0 9.5 9.5 5.2 -3.923 18 Korea (ROK) 6.8 5.8 10.3 17.8 15.2 17.2 $ -14.7 13.1 13.1 1.8 14.0 30.5 9.9 9.5 12.9 13.2 3.9 17.2 -3.3 -35.4 -26.024 25 Taiwan (pr. of China) 3.7 5.0 8.7 14.6 14.4 13.4 $ -1.6 -7.0 -7.0 5.5 -7.2 -13.5 -12.1 -0.5 -3.5 -2.3 0.225 24 Netherlands 7.2 9.1 11.7 14.7 13.2 14.1 7.6 7.1 7.1 14.1 2.5 7.1 8.3 9.3 7.2 7.7 6.726 27 Portugal 5.2 7.7 10.1 13.8 12.7 14.0 10.2 10.7 10.7 9.7 8.8 9.8 15.1 10.8 16.8 17.7 10.3 14.7 10.8 9.1 8.427 26 Belgium 6.6 9.9 11.4 13.9 12.0 11.8 2.9 -0.8 -0.8 1.5 -7.7 -1.9 5.5 5.2 0.3 10.9 6.6 6.1 2.3 6.4 -2.928 28 Sweden 4.1 6.6 8.4 11.8 11.3 12.5 17.6 12.0 12.0 23.3 10.7 4.0 14.9 22.7 13.6 18.4 16.929 31 Indonesia 5.0 4.5 7.0 10.3 10.8 12.2 $ 4.9 13.4 13.4 5.0 9.9 17.2 20.5 6.7 2.6 7.3 2.830 35 Saudi Arabia .. 4.6 6.7 8.2 10.1 11.1 23.0 9.5 9.5 9.6 27.1 -4.2 16.4 15.1 11.6 190 -39.031 30 Poland 5.7 6.3 9.6 11.2 9.7 9.7 5.8 8.8 8.8 8.5 7.9 10.1 8.4 6.7 5.1 5.6 5.932 34 New Zealand 2.9 6.5 6.5 8.4 9.0 9.6 27.8 6.7 6.7 15.6 6.7 -3.7 3.9 28.4 33.4 39.6 14.933 32 Croatia 2.8 7.4 8.1 9.9 8.8 9.6 € 7.6 8.5 8.5 15.0 5.3 9.0 10.5 12.7 7.3 7.5 6.534 29 Russian Federation 3.4 5.9 8.8 11.8 8.4 7.8 $ -28.4 -7.5 -7.5 -31.8 -22.4 12.4 11.2 -26.8 -28.1 -28.8 -30.035 33 South Africa 2.7 7.5 9.1 9.3 8.2 7.9 sa 3.6 10.7 10.7 14.5 13.6 8.3 6.9 10.6 0.5 -0.4 4.236 37 Vietnam .. 2.3 4.5 7.4 7.4 8.3 $ -0.8 12.2 12.2 7.4 21.9 25.3 -2.837 42 Lebanon .. 5.5 8.0 6.5 6.9 .. $ 5.1 .. 1.1 -0.1 2.1 4.1 -3.0 11.2 7.638 36 Denmark 3.7 5.3 5.9 7.6 6.7 6.9 5.1 3.3 3.3 8.4 0.7 3.1 3.0 5.6 4.5 5.1 5.339 38 Morocco 2.0 4.6 6.7 7.4 6.3 6.4 -1.4 3.4 3.4 5.9 2.6 8.2 -6.0 12.8 -16.3 6.6 -4.1 -2.1 -3.5 12.6 0.440 44 Dominican Rep. 2.9 3.5 4.2 5.6 6.1 6.7 $ 8.6 9.9 9.9 8.0 8.4 13.8 9.5 7.5 9.2 7.6 10.541 39 Egypt 4.3 6.9 12.5 7.2 6.1 2.6 $ -15.9 -56.4 -56.4 -62.2 -73.1 -56.1 -15.8 -7.3 17.1 -17.5 -48.942 41 Czech Republic 3.0 4.8 7.2 6.8 6.1 6.3 5.1 3.5 3.5 11.4 -1.0 4.3 0.6 3.5 8.2 5.0 3.643 40 Brazil 1.8 3.9 5.3 6.8 5.8 6.0 $ -14.6 3.1 3.1 12.7 0.3 8.8 -10.2 -8.8 -4.3 1.3 -23.7 -4.9 -29.8 -21.3 1.244 45 Israel 4.4 3.3 5.1 5.6 5.4 5.5 $ -4.5 1.6 1.6 -0.8 -1.9 1.5 7.7 21.9 -6.5 19.1 15.3 -16.2 -16.7 18.5 4.445 43 Hungary 3.8 4.1 5.6 5.9 5.3 5.7 8.9 7.0 7.0 7.5 9.1 5.3 6.7 9.9 4.7 14.3 5.246 48 Philippines 2.2 2.3 2.6 5.0 5.3 5.1 $ 4.8 -2.5 -2.5 6.3 10.7 -11.9 -14.8 -13.9 -12.0 -11.1 -19.5 0.4 -2.4 30.8 -3.047 51 Qatar 0.1 0.8 0.6 4.6 5.0 5.4 9.7 7.5 7.5 1.2 10.7 -3.5 23.3 2.3 11.4 19.6 6.248 46 Norway 2.2 3.5 4.7 5.6 4.9 5.2 12.3 10.8 10.8 12.6 10.1 13.0 7.8 6.7 14.2 16.3 9.849 49 Ireland 2.6 4.8 4.1 4.9 4.8 5.2 18.2 8.4 8.4 16.8 5.5 8.6 6.5 9.9 18.5 19.2 22.050 50 Argentina 2.9 2.7 4.9 4.6 4.4 3.8 $ -4.8 -12.8 -12.8 -14.8 -17.4 -5.3 -13.1 5.7 -10.1 -9.1 -9.6

Source: World Tourism Organization (UNWTO) © (Data as collected by UNWTO March 2017)See box at page 'Annex-1' for explanation of abbreviations and signs used


Annex–11

International Tourism Receipts (euro billion)

Full year (euro) Local currencies, current prices (% change over same period of the previous year)

Rank 2000 2005 2010 2014 2015* ##### 15/14 16*/15 2016* 2015*

'15 '14 (billion)billion) Series (%) YTD Q1 Q2 Q3 Q4 Sep Oct Nov Dec Q1 Q2 Q3 Q4

World 536 564 725 941 1,076 ..

1 1 United States 108.5 81.6 103.3 144.0 184.3 186.9 sa 6.9 1.1 1.1 3.1 -1.5 1.2 1.8 3.1 2.1 1.6 1.6 6.4 9.0 7.0 5.22 2 Spain 33.4 40.0 41.2 49.0 50.9 54.5 3.8 7.1 7.1 5.5 8.0 5.7 9.8 7.8 10.2 3.7 16.7 2.6 3.1 3.1 7.13 3 France 35.7 35.4 35.5 43.8 41.4 38.9 -5.4 -6.0 -6.0 -1.4 -14.1 -4.5 1.1 -3.5 -1.7 1.2 4.2 -11.5 -6.2 -5.2 1.54 4 United Kingdom 24.0 25.0 24.8 35.0 41.0 35.8 5.2 -1.4 -1.4 1.3 -7.9 -3.2 6.3 -1.4 12.8 -2.4 12.25 6 China 17.6 23.5 34.6 33.2 40.5 40.1 $ 2.1 -1.2 -1.2 7.7 1.4 -5.2 -6.3 0.5 3.7 3.3 0.86 9 Thailand 8.1 7.7 15.2 28.9 40.5 45.1 23.0 14.7 14.7 21.4 14.5 17.1 5.9 22.4 40.9 31.8 6.17 5 Italy 29.8 28.5 29.3 34.2 35.6 36.7 3.8 3.3 3.3 3.2 2.9 4.4 1.5 5.5 -0.9 2.4 5.0 5.4 5.8 1.7 4.08 7 Germany 20.2 23.4 26.2 32.6 33.3 33.8 2.0 1.7 1.7 -0.8 1.1 1.3 4.9 4.2 1.4 4.9 9.1 5.4 3.7 1.3 -1.59 10 Hong Kong (China) 6.4 8.3 16.7 28.9 32.6 29.6 -5.8 -9.3 -9.3 -15.1 -9.4 -8.3 -4.2 -3.8 -3.3 -7.6 -8.4

10 8 Macao (China) 3.5 5.6 16.8 32.2 27.9 27.0 -27.6 -3.4 -4.5 -14.5 -10.7 1.8 6.3 -28.7 -30.7 -26.0 -19.111 11 Australia 10.1 13.5 21.6 23.7 26.0 29.4 10.2 13.8 13.8 13.3 11.9 16.9 13.2 18.2 15.2 11.9 12.5 11.3 10.5 8.1 10.812 12 Turkey 8.3 15.4 17.0 22.2 24.0 16.9 $ -9.9 -29.6 -29.6 -16.8 -35.3 -33.0 -25.7 -28.1 -30.3 -24.5 -16.1 0.3 -15.9 -6.2 -15.513 17 Japan 3.7 5.3 10.0 14.2 22.5 27.7 51.4 10.4 10.4 27.1 4.5 10.0 2.3 11.6 2.3 0.6 3.8 64.0 53.6 58.2 34.814 15 India 3.7 6.0 10.9 14.8 18.9 20.3 9.6 15.1 15.1 15.9 12.0 15.4 16.7 13.1 16.6 14.4 18.7 3.6 14.4 13.7 8.415 14 Austria 10.6 12.9 14.0 15.7 16.4 17.4 4.8 6.2 6.2 10.5 -2.5 6.2 5.1 5.5 7.3 6.8 -1.516 22 Mexico 9.0 9.5 9.0 12.2 16.0 17.7 $ 9.4 10.4 10.4 8.1 7.8 13.5 12.5 13.3 14.6 12.7 11.1 9.9 11.6 8.6 7.517 13 Malaysia 5.4 7.1 13.7 17.0 15.8 15.3 -7.4 2.4 2.4 -0.9 4.2 3.4 3.2 -9.7 -10.2 -4.5 -5.018 23 Utd Arab Emirates 1.2 2.6 6.5 11.5 15.8 17.6 14.8 11.519 16 Singapore 5.6 5.0 10.7 14.4 14.9 16.6 -6.1 11.5 11.5 3.5 16.0 14.2 12.4 -12.0 -8.0 1.2 -5.220 21 Canada 11.7 11.0 11.9 13.4 14.9 16.4 7.9 13.6 13.6 14.0 8.5 14.7 17.4 10.5 9.1 5.6 7.821 20 Switzerland 7.2 8.1 11.1 13.4 14.7 14.4 -3.4 -0.3 -0.3 -1.9 -0.3 0.9 0.0 -2.6 -3.5 -3.1 -4.522 19 Greece 10.0 10.7 9.6 13.4 14.1 13.2 € 5.5 -6.5 -6.5 4.5 -9.7 -7.8 6.5 -2.0 13.7 -12.7 -2.0 9.5 9.5 5.2 -3.923 18 Korea (ROK) 7.4 4.7 7.8 13.4 13.7 15.5 $ -14.7 13.1 13.1 1.8 14.0 30.5 9.9 9.5 12.9 13.2 3.9 17.2 -3.3 -35.4 -26.024 25 Taiwan (pr. of China) 4.0 4.0 6.6 11.0 13.0 12.1 $ -1.6 -7.0 -7.0 5.5 -7.2 -13.5 -12.1 -0.5 -3.5 -2.3 0.225 24 Netherlands 7.8 7.3 8.9 11.1 11.9 12.8 7.6 7.1 7.1 14.1 2.5 7.1 8.3 9.3 7.2 7.7 6.726 27 Portugal 5.7 6.2 7.6 10.4 11.5 12.7 10.2 10.7 10.7 9.7 8.8 9.8 15.1 10.8 16.8 17.7 10.3 14.7 10.8 9.1 8.427 26 Belgium 7.1 7.9 8.6 10.5 10.8 10.7 2.9 -0.8 -0.8 1.5 -7.7 -1.9 5.5 5.2 0.3 10.9 6.6 6.1 2.3 6.4 -2.928 28 Sweden 4.4 5.3 6.3 8.9 10.2 11.3 17.6 12.0 12.0 23.3 10.7 4.0 14.9 22.7 13.6 18.4 16.929 31 Indonesia 5.4 3.6 5.2 7.7 9.7 11.0 $ 4.9 13.4 13.4 5.0 9.9 17.2 20.5 6.7 2.6 7.3 2.830 35 Saudi Arabia .. 3.7 5.1 6.2 9.1 10.0 23.0 9.5 9.5 9.6 27.1 -4.2 16.4 15.1 11.6 190 -39.031 30 Poland 6.1 5.1 7.2 8.5 8.8 8.8 5.8 8.8 8.8 8.5 7.9 10.1 8.4 6.7 5.1 5.6 5.932 34 New Zealand 3.1 5.2 4.9 6.3 8.2 8.7 27.8 6.7 6.7 15.6 6.7 -3.7 3.9 28.4 33.4 39.6 14.933 32 Croatia 3.0 5.9 6.1 7.4 8.0 8.7 € 7.6 8.5 8.5 15.0 5.3 9.0 10.5 12.7 7.3 7.5 6.534 29 Russian Federation 3.7 4.7 6.7 8.9 7.6 7.0 $ -28.4 -7.5 -7.5 -31.8 -22.4 12.4 11.2 -26.8 -28.1 -28.8 -30.035 33 South Africa 2.9 6.0 6.8 7.0 7.4 7.1 sa 3.6 10.7 10.7 14.5 13.6 8.3 6.9 10.6 0.5 -0.4 4.236 37 Vietnam .. 1.8 3.4 5.6 6.6 7.5 $ -0.8 12.2 12.2 7.4 21.9 25.3 -2.837 42 Lebanon .. 4.4 6.0 4.9 6.2 .. $ 5.1 .. 1.1 -0.1 2.1 4.1 -3.0 11.2 7.638 36 Denmark 4.0 4.2 4.4 5.7 6.0 6.2 5.1 3.3 3.3 8.4 0.7 3.1 3.0 5.6 4.5 5.1 5.339 38 Morocco 2.2 3.7 5.1 5.6 5.6 5.8 -1.4 3.4 3.4 5.9 2.6 8.2 -6.0 12.8 -16.3 6.6 -4.1 -2.1 -3.5 12.6 0.440 44 Dominican Rep. 3.1 2.8 3.1 4.2 5.5 6.1 $ 8.6 9.9 9.9 8.0 8.4 13.8 9.5 7.5 9.2 7.6 10.541 39 Egypt 4.7 5.5 9.4 5.4 5.5 2.4 $ -15.9 -56.4 -56.4 -62.2 -73.1 -56.1 -15.8 -7.3 17.1 -17.5 -48.942 41 Czech Republic 3.2 3.9 5.4 5.1 5.5 5.7 5.1 3.5 3.5 11.4 -1.0 4.3 0.6 3.5 8.2 5.0 3.643 40 Brazil 2.0 3.1 4.0 5.2 5.3 5.4 $ -14.6 3.1 3.1 12.7 0.3 8.8 -10.2 -8.8 -4.3 1.3 -23.7 -4.9 -29.8 -21.3 1.244 45 Israel 4.8 2.7 3.8 4.2 4.8 4.9 $ -4.5 1.6 1.6 -0.8 -1.9 1.5 7.7 21.9 -6.5 19.1 15.3 -16.2 -16.7 18.5 4.445 43 Hungary 4.1 3.3 4.2 4.4 4.8 5.1 8.9 7.0 7.0 7.5 9.1 5.3 6.7 9.9 4.7 14.3 5.246 48 Philippines 2.3 1.8 2.0 3.8 4.8 4.6 4.8 -2.5 -2.5 6.3 10.7 -11.9 -14.8 -13.9 -12.0 -11.1 -19.5 0.4 -2.4 30.8 -3.047 51 Qatar 0.1 0.6 0.4 3.5 4.5 4.9 9.7 7.5 7.5 1.2 10.7 -3.5 23.3 2.3 11.4 19.6 6.248 46 Norway 2.3 2.8 3.6 4.2 4.4 4.7 12.3 10.8 10.8 12.6 10.1 13.0 7.8 6.7 14.2 16.3 9.849 49 Ireland 2.9 3.9 3.1 3.7 4.3 4.7 18.2 8.4 8.4 16.8 5.5 8.6 6.5 9.9 18.5 19.2 22.050 50 Argentina 3.1 2.2 3.7 3.5 4.0 3.5 $ -4.8 -12.8 -12.8 -14.8 -17.4 -5.3 -13.1 5.7 -10.1 -9.1 -9.6



Annex–12

International Tourism Expenditure (US$ billion)


Rank 2000 2005 2010 2014 2015 2016* 15/14 16*/15 2016* 2015*


World 495 701 961 1,250 1,194 ..

1 1 China 13.1 21.8 54.9 227.3 249.8 261.1 $ 9.9 4.5 4.5 3.5 -6.2 0.5 21.3 9.0 22.1 9.9 0.32 2 United States 65.8 80.0 86.6 105.5 112.9 121.5 sa 7.0 7.7 7.7 8.2 6.9 8.3 7.4 9.7 7.9 6.9 7.3 7.1 5.5 6.8 8.43 3 Germany 53.0 74.4 78.1 93.3 77.5 81.1 -0.6 4.9 4.9 4.0 6.3 7.2 0.8 5.5 -1.9 8.5 -1.5 1.7 -2.9 -5.2 7.74 4 United Kingdom 40.3 62.6 54.9 62.6 63.3 63.6 8.8 13.8 13.8 10.5 10.5 16.0 16.9 4.6 9.8 8.6 12.15 6 France 22.6 31.8 38.5 48.7 38.4 40.9 -5.6 6.7 6.7 -4.1 10.3 7.3 11.7 6.9 8.7 20.0 6.6 3.5 -12.4 -5.3 -5.56 5 Russian Federation 8.7 17.0 26.7 50.4 34.9 24.0 $ -30.7 -31.4 -31.4 -41.6 -34.9 -34.9 -5.7 -27.7 -30.7 -31.6 -32.57 7 Canada 12.4 18.0 29.7 34.4 30.1 29.1 1.3 0.1 0.1 -2.0 -3.2 2.3 4.7 3.4 1.8 -0.1 -0.28 14 Korea (ROK) 7.1 15.4 18.8 23.2 25.3 26.6 $ 9.0 5.4 5.4 2.0 0.2 19.2 -0.3 20.4 -11.1 7.4 3.3 14.3 6.5 2.3 13.99 8 Italy 15.7 22.4 27.1 28.8 24.4 24.7 1.4 1.5 1.5 2.7 1.1 3.0 -1.6 9.3 -0.8 -3.2 -1.0 2.4 2.0 -1.9 5.0

10 9 Australia 6.4 11.8 22.5 26.9 23.8 25.3 6.1 7.6 7.6 10.2 6.9 7.7 5.8 6.4 4.9 6.6 5.9 5.0 3.0 7.2 8.911 15 Hong Kong (China) 12.5 13.3 17.4 22.0 23.1 24.1 4.7 4.8 4.8 9.4 1.9 4.5 3.8 6.5 3.6 3.8 5.312 11 Singapore 4.9 10.1 18.7 24.4 22.1 22.1 -1.6 0.6 0.6 1.6 1.4 3.6 -4.0 -6.2 -3.3 1.1 2.013 12 Saudi Arabia .. 9.1 21.1 24.1 19.3 18.7 -19.8 -3.2 -3.2 -0.5 -13.9 1.0 1.1 -37.8 17.3 -18.3 -27.714 13 Belgium 9.4 15.0 19.0 23.8 18.9 19.6 -4.9 3.7 3.7 7.6 2.4 3.2 2.4 2.5 2.7 2.7 2.0 -8.5 -4.7 -4.6 -2.215 16 Netherlands 12.2 15.4 19.2 21.1 17.9 17.9 1.5 0.3 0.3 4.9 -4.5 -0.2 3.8 0.7 4.2 1.0 -0.516 19 Spain 6.0 15.2 17.0 18.0 17.4 20.2 15.3 16.6 16.6 21.5 8.2 16.1 20.8 20.1 22.9 21.0 18.0 11.0 16.0 15.1 18.317 10 Brazil 3.9 4.7 16.0 25.6 17.4 14.5 $ -32.1 -16.5 -16.5 -43.2 -24.4 -6.0 24.8 2.7 41.9 23.9 11.8 -10.5 -28.6 -41.1 -46.318 21 Utd Arab Emirates 3.0 6.2 11.8 15.8 16.6 17.1 5.0 2.919 20 Switzerland 5.4 8.8 11.2 16.9 16.0 16.0 -0.1 2.2 2.2 11.0 1.0 -1.4 0.4 0.0 -1.1 0.4 0.320 17 Japan 31.9 27.3 27.9 19.3 16.0 18.5 -5.3 4.0 4.0 -0.1 4.5 5.4 6.1 0.9 2.2 9.0 7.4 -7.5 -5.7 -5.3 -2.621 18 Norway 4.6 9.7 13.5 18.4 15.8 15.9 9.8 5.0 5.0 13.9 9.0 0.9 -2.5 6.7 5.0 13.7 13.222 24 Taiwan (pr. of China) 8.1 8.7 9.4 14.0 15.5 16.6 $ 10.8 6.9 6.9 11.2 5.1 6.4 5.2 8.9 11.9 11.0 11.223 23 India 2.7 6.2 10.5 14.6 14.8 16.4 6.9 15.6 15.6 7.1 25.2 16.2 13.0 25.3 6.0 3.6 -2.924 22 Sweden 8.0 10.0 12.1 15.8 14.4 14.1 12.1 -0.4 -0.4 7.3 -1.0 -2.6 -4.5 15.6 9.9 12.2 11.025 26 Kuwait 2.5 4.5 6.4 11.3 12.4 12.2 15.6 -1.1 -1.1 12.8 -4.9 -3.7 -10.2 22.7 21.6 12.2 7.026 28 Philippines 1.6 3.0 5.5 10.6 11.3 11.3 $ 7.0 -0.6 -0.6 -11.1 -5.9 6.7 12.7 11.1 8.1 20.0 11.6 8.3 3.5 6.5 11.927 25 Malaysia 2.1 3.7 8.3 12.4 10.6 10.0 1.3 0.7 0.7 1.9 2.8 -4.2 2.6 10.2 -0.4 -0.7 -2.828 30 Mexico 5.5 7.6 7.3 9.6 10.1 10.2 $ 5.1 1.3 1.3 1.0 -3.7 6.6 1.0 9.0 4.4 0.8 -1.7 8.2 9.4 3.1 1.129 27 Austria 6.3 9.3 10.2 10.8 9.1 9.5 0.7 4.7 4.7 -3.6 7.9 5.3 6.5 4.9 -2.4 -3.0 10.930 31 Iran 0.7 3.7 9.7 8.9 .. .. $ .. ..31 29 Denmark 4.7 6.9 9.0 10.5 8.9 9.2 2.2 3.2 3.2 4.8 4.3 1.4 2.9 1.9 -0.2 3.9 3.432 33 Qatar 0.3 1.8 0.5 8.7 8.2 9.1 -5.9 11.2 11.2 19.7 4.2 7.1 15.3 -9.4 5.5 -6.3 -12.633 32 Poland 3.3 5.5 8.6 8.9 7.9 7.9 7.1 4.1 4.1 7.7 3.5 4.4 1.0 8.9 6.7 6.4 6.934 35 Thailand 2.8 3.8 5.6 7.1 7.7 8.3 15.0 11.4 11.4 16.1 11.6 8.6 9.7 18.6 14.8 14.9 12.235 34 Indonesia 3.2 3.6 6.4 7.7 7.3 7.7 $ -5.1 5.7 5.7 1.5 1.2 2.2 16.9 -0.5 -8.1 3.3 -13.236 37 Argentina 4.4 2.8 4.9 5.4 5.9 7.4 $ 10.4 25.6 25.6 30.2 17.2 34.5 18.5 -8.3 2.6 20.3 44.637 36 Ireland 2.5 6.1 7.1 6.4 5.7 6.1 6.1 7.8 7.8 18.0 7.7 6.9 1.5 9.4 1.0 6.5 8.838 38 Nigeria 0.6 0.2 5.6 5.3 5.6 1.1 $ 5.5 -80.7 -80.7 -81.5 -72.9 -83.7 -82.9 -15.5 -42.6 130 53.739 41 Turkey 1.7 3.1 5.2 5.1 5.4 4.8 $ 5.8 -10.9 -10.9 20.9 0.1 -17.3 -42.8 -10.4 -43.1 -43.3 -41.9 -5.8 10.0 20.9 1.240 47 Iraq 0.0 0.4 1.6 4.2 4.8 .. $ 15.2 ..41 39 Finland 1.9 3.1 4.3 5.3 4.8 5.1 8.2 6.6 6.6 3.6 1.2 10.9 10.4 2.9 9.4 9.1 10.942 40 Czech Republic 1.3 2.4 4.3 5.1 4.8 4.9 10.0 2.4 2.4 9.0 4.0 -4.2 1.6 18.1 15.6 5.6 3.143 46 Israel 2.9 3.1 3.7 4.2 4.7 5.3 $ 12.1 11.7 11.7 4.1 14.4 6.3 26.1 16.5 3.9 23.2 -0.844 43 Lebanon .. 2.9 4.9 5.0 4.7 .. $ -5.1 .. 6.1 8.3 4.1 -13.2 -7.1 0.9 -1.845 42 Ukraine 0.5 2.8 3.7 5.1 4.4 5.0 $ -12.2 12.2 12.2 13.9 15.1 12.5 6.9 -21.2 -13.1 -9.4 -3.946 44 Colombia 1.1 1.5 2.6 4.7 4.3 4.2 $ -7.7 -2.6 -2.6 -10.1 -10.4 -1.6 12.0 4.4 1.1 -12.0 -19.747 45 Portugal 2.2 3.1 3.9 4.4 4.0 4.3 8.9 6.6 6.6 6.2 4.7 6.3 9.3 5.1 11.7 0.9 15.2 9.0 7.9 11.0 7.548 48 New Zealand 1.2 2.7 3.0 4.1 3.7 4.0 8.2 7.0 7.0 7.6 6.1 5.9 8.5 6.2 10.3 9.5 6.549 52 Vietnam .. 0.9 1.5 2.7 3.5 4.5 $ 32.1 27.950 49 Egypt 1.1 1.6 2.2 3.1 3.4 4.1 $ 9.6 19.4 19.4 39.5 36.0 39.6 -31.6 15.0 11.2 -4.3 17.6



Annex–13

International Tourism Expenditure (euro billion)

Full year (euro) Local currencies, current prices (% change over same period of the previous year)

Rank 2000 2005 2010 2014 2015 2016* 15/14 16*/15 2016* 2015*


World 536 564 725 941 1,076 ..

1 1 China 14.2 17.5 41.4 171.1 225.2 235.9 $ 9.9 4.5 4.5 3.5 -6.2 0.5 21.3 9.0 22.1 9.9 0.32 2 United States 71.2 64.3 65.3 79.4 101.7 109.8 sa 7.0 7.7 7.7 8.2 6.9 8.3 7.4 9.7 7.9 6.9 7.3 7.1 5.5 6.8 8.43 3 Germany 57.4 59.8 58.9 70.3 69.9 73.3 -0.6 4.9 4.9 4.0 6.3 7.2 0.8 5.5 -1.9 8.5 -1.5 1.7 -2.9 -5.2 7.74 4 United Kingdom 43.7 50.3 41.4 47.1 57.0 57.5 8.8 13.8 13.8 10.5 10.5 16.0 16.9 4.6 10 8.6 12.15 6 France 24.5 25.6 29.0 36.7 34.6 36.9 -5.6 6.7 6.7 -4.1 10.3 7.3 11.7 6.9 8.7 20.0 6.6 3.5 -12.4 -5.3 -5.56 5 Russian Federation 9.5 13.6 20.1 38.0 31.5 21.6 $ -30.7 -31.4 -31.4 -41.6 -34.9 -34.9 -5.7 -27.7 -30.7 -31.6 -32.57 7 Canada 13.5 14.5 22.4 25.9 27.1 26.3 1.3 0.1 0.1 -2.0 -3.2 2.3 4.7 3.4 1.8 -0.1 -0.28 14 Korea (ROK) 7.7 12.4 14.2 17.5 22.8 24.1 $ 9.0 5.4 5.4 2.0 0.2 19.2 -0.3 20.4 -11.1 7.4 3.3 14.3 6.5 2.3 13.99 8 Italy 17.0 18.0 20.4 21.7 22.0 22.3 1.4 1.5 1.5 2.7 1.1 3.0 -1.6 9.3 -0.8 -3.2 -1.0 2.4 2.0 -1.9 5.0

10 9 Australia 6.9 9.4 17.0 20.2 21.4 22.9 6.1 7.6 7.6 10.2 6.9 7.7 5.8 6.4 4.9 6.6 5.9 5.0 3.0 7.2 8.911 15 Hong Kong (China) 13.5 10.7 13.1 16.6 20.8 21.8 4.7 4.8 4.8 9.4 1.9 4.5 3.8 6.5 3.6 3.8 5.312 11 Singapore 5.3 8.1 14.1 18.3 19.9 20.0 -1.6 0.6 0.6 1.6 1.4 3.6 -4.0 -6.2 -3.3 1.1 2.013 12 Saudi Arabia .. 7.3 15.9 18.2 17.4 16.9 -19.8 -3.2 -3.2 -0.5 -13.9 1.0 1.1 -37.8 17.3 -18.3 -27.714 13 Belgium 10.2 12.0 14.3 17.9 17.1 17.7 -4.9 3.7 3.7 7.6 2.4 3.2 2.4 2.5 2.7 2.7 2.0 -8.5 -4.7 -4.6 -2.215 16 Netherlands 13.2 12.4 14.5 15.9 16.1 16.2 1.5 0.3 0.3 4.9 -4.5 -0.2 3.8 0.7 4.2 1.0 -0.516 19 Spain 6.5 12.2 12.8 13.6 15.7 18.2 15.3 16.6 16.6 21.5 8.2 16.1 20.8 20.1 22.9 21.0 18.0 11.0 16.0 15.1 18.317 10 Brazil 4.2 3.8 12.0 19.2 15.6 13.1 $ -32.1 -16.5 -16.5 -43.2 -24.4 -6.0 24.8 2.7 41.9 23.9 11.8 -10.5 -28.6 -41.1 -46.318 21 Utd Arab Emirates 3.3 5.0 8.9 11.9 15.0 15.5 5.0 2.919 20 Switzerland 5.9 7.1 8.4 12.7 14.4 14.5 -0.1 2.2 2.2 11.0 1.0 -1.4 0.4 0.0 -1.1 0.4 0.320 17 Japan 34.5 22.0 21.0 14.5 14.4 16.7 -5.3 4.0 4.0 -0.1 4.5 5.4 6.1 0.9 2.2 9.0 7.4 -7.5 -5.7 -5.3 -2.621 18 Norway 5.0 7.8 10.2 13.9 14.3 14.4 9.8 5.0 5.0 13.9 9.0 0.9 -2.5 6.7 5.0 13.7 13.222 24 Taiwan (pr. of China) 8.8 7.0 7.1 10.5 14.0 15.0 $ 10.8 6.9 6.9 11.2 5.1 6.4 5.2 8.9 11.9 11.0 11.223 23 India 2.9 5.0 7.9 11.0 13.4 14.8 6.9 15.6 15.6 7.1 25.2 16.2 13.0 25.3 6.0 3.6 -2.924 22 Sweden 8.7 8.0 9.1 11.9 13.0 12.8 12.1 -0.4 -0.4 7.3 -1.0 -2.6 -4.5 15.6 9.9 12.2 11.025 26 Kuwait 2.7 3.6 4.9 8.5 11.2 11.0 15.6 -1.1 -1.1 12.8 -4.9 -3.7 -10.2 22.7 21.6 12.2 7.026 28 Philippines 1.8 2.4 4.1 8.0 10.2 10.2 $ 7.0 -0.6 -0.6 -11.1 -5.9 6.7 12.7 11.1 8.1 20.0 11.6 8.3 3.5 6.5 11.927 25 Malaysia 2.2 3.0 6.3 9.4 9.5 9.0 1.3 0.7 0.7 1.9 2.8 -4.2 2.6 10.2 -0.4 -0.7 -2.828 30 Mexico 6.0 6.1 5.5 7.2 9.1 9.2 $ 5.1 1.3 1.3 1.0 -3.7 6.6 1.0 9.0 4.4 0.8 -1.7 8.2 9.4 3.1 1.129 27 Austria 6.8 7.5 7.7 8.1 8.2 8.6 0.7 4.7 4.7 -3.6 7.9 5.3 6.5 4.9 -2.4 -3.0 10.930 31 Iran 0.7 3.0 7.3 6.7 .. .. $ .. ..31 29 Denmark 5.1 5.5 6.8 7.9 8.0 8.3 2.2 3.2 3.2 4.8 4.3 1.4 2.9 1.9 -0.2 3.9 3.432 33 Qatar 0.3 1.4 0.4 6.5 7.4 8.2 -6 11 11.2 19.7 4.2 7.1 15.3 -9.4 5.5 -6.3 -12.633 32 Poland 3.6 4.5 6.5 6.7 7.2 7.2 7.1 4.1 4.1 7.7 3.5 4.4 1.0 8.9 6.7 6.4 6.934 35 Thailand 3.0 3.1 4.2 5.3 7.0 7.5 15.0 11.4 11.4 16.1 11.6 8.6 9.7 18.6 14.8 14.9 12.235 34 Indonesia 3.5 2.9 4.8 5.8 6.6 7.0 $ -5.1 5.7 5.7 1.5 1.2 2.2 16.9 -0.5 -8.1 3.3 -13.236 37 Argentina 4.8 2.2 3.7 4.0 5.3 6.7 $ 10.4 25.6 25.6 30.2 17.2 34.5 18.5 -8.3 2.6 20.3 44.637 36 Ireland 2.8 4.9 5.4 4.8 5.1 5.5 6.1 7.8 7.8 18.0 7.7 6.9 1.5 9.4 1.0 6.5 8.838 38 Nigeria 0.6 0.2 4.2 4.0 5.1 1.0 $ 5.5 -80.7 -80.7 -81.5 -72.9 -83.7 -82.9 -15.5 -42.6 130 53.739 41 Turkey 1.9 2.5 3.9 3.8 4.8 4.3 $ 5.8 -10.9 -10.9 20.9 0.1 -17.3 -42.8 -10.4 -43.1 -43.3 -41.9 -5.8 10.0 20.9 1.240 47 Iraq 0.0 0.4 1.2 3.1 4.3 .. $ 15.2 ..41 39 Finland 2.0 2.5 3.3 4.0 4.3 4.6 8.2 6.6 6.6 3.6 1.2 10.9 10.4 2.9 9.4 9.1 10.942 40 Czech Republic 1.4 1.9 3.2 3.9 4.3 4.4 10.0 2.4 2.4 9.0 4.0 -4.2 1.6 18.1 15.6 5.6 3.143 46 Israel 3.1 2.5 2.8 3.2 4.3 4.8 $ 12.1 11.7 11.7 4.1 14.4 6.3 26.1 16.5 3.9 23.2 -0.844 43 Lebanon .. 2.3 3.7 3.8 4.3 .. $ -5.1 .. 6.1 8.3 4.1 -13.2 -7.1 0.9 -1.845 42 Ukraine 0.5 2.3 2.8 3.8 4.0 4.5 $ -12.2 12.2 12.2 13.9 15.1 12.5 6.9 -21.2 -13.1 -9.4 -3.946 44 Colombia 1.1 1.2 2.0 3.5 3.9 3.8 $ -7.7 -2.6 -2.6 -10.1 -10.4 -1.6 12.0 4.4 1.1 -12.0 -19.747 45 Portugal 2.4 2.5 3.0 3.3 3.6 3.8 8.9 6.6 6.6 6.2 4.7 6.3 9.3 5.1 11.7 0.9 15.2 9.0 7.9 11.0 7.548 48 New Zealand 1.3 2.2 2.3 3.1 3.4 3.6 8.2 7.0 7.0 7.6 6.1 5.9 8.5 6.2 10.3 9.5 6.549 52 Vietnam .. 0.7 1.1 2.0 3.2 4.0 $ 32.1 27.950 49 Egypt 1.2 1.3 1.7 2.4 3.1 3.7 $ 9.6 19.4 19.4 39.5 36.0 39.6 -31.6 15.0 11.2 -4.3 17.6



Annex–14

World's Top Tourism SpendersInternational Tourism Expenditure Population International Departures (million)

Rank (US$ billion) share (%) (million) total including same-day of which overnight2015 2016* 2015 2016* 2015 2016* 2015 2016*

1 China 249.8 261.1 20.9 1,379 127.9 135.1 .. ..2 United States 112.9 121.5 9.5 324 130.4 .. 74.0 ..3 Germany 77.5 81.1 6.5 83 .. .. 83.7 ..4 United Kingdom 63.3 63.6 5.3 66 65.7 70.4 64.2 ..5 France 38.4 40.9 3.2 65 30.6 .. 26.6 ..6 Canada 30.1 29.1 2.5 36 56.0 53.0 32.3 31.37 Korea (ROK) 25.3 26.6 2.1 51 19.3 22.4 .. ..9 Australia 23.8 25.3 2.0 24 9.5 9.9 9.5 ..8 Italy 24.4 24.7 2.0 61 61.2 62.6 27.9 28.7

10 Hong Kong (China) 23.1 24.1 1.9 7 89.1 91.8 .. ..Local currencies Expenditure

Change (%) per capita (US$) Change (%) Change (%)15/14 16*/15 2016* 15/14 16*/15 15/14 16*/15

1 China 11.4 11.5 189 9.7 5.7 .. ..2 United States 7.0 7.7 375 7.1 .. 8.5 8% (11m)3 Germany -0.6 4.9 982 .. .. 0.9 ..4 United Kingdom 8.8 13.8 970 9.4 7.2 9.9 ..5 France -5.6 6.7 633 -4.2 .. -4.6 ..6 Canada 1.3 0.1 804 -12.2 -5.3 -3.8 -3.17 Korea (ROK) 17.1 8.1 524 20.1 15.9 .. ..9 Australia 6.1 7.6 1,039 3.6 5.0 3.8 ..8 Italy 1.4 1.5 404 3.0 2.3 2.4 2.9

10 Hong Kong (China) 4.7 4.8 3,280 5.4 3.0 .. ..

Source: World Tourism Organization (UNWTO) © (Data as collected by UNWTO March 2017)


Annex–15

About receipts and expenditure data For destination countries, receipts from international tourism count as exports and cover all transactions related to the consumption by international visitors of, for example, accommodation, food and drink, fuel, domestic transport, entertainment, shopping, etc. They include transactions generated by same-day as well as overnight visitors. Receipts from same-day visitors can be substantial, espe-cially in the case of neighbouring countries where a lot of shopping for goods and services is carried out by cross-border, same-day visitors. However, the values reported as international tourism receipts do not include receipts from international passenger transport contracted from companies outside the travellers’ countries of residence, which are reported in a separate category. With financial data measured in different currencies it is complicated to accurately determine variations in relative terms, as receipts have to be expressed in a common currency like the US dollar or the euro and generally are also reported at current prices, thus not taking account of exchange rate fluctuations and inflation. Exchange rate changes can substantially influence the values in US dollars reported from year to year. When the dollar appreciates against for instance the euro, worldwide receipts expressed in dollars relatively decrease, and vice versa in the case the dollar depreciates. In 2015, the US dollar (and pegged currencies such as from various destinations in the Caribbean and the Middle East or Hong Kong (China) and Macao (China)) appreciated against virtually all other currencies, including the euro. Versus the euro the appreciation was 20% on average for the year (see table below), so expressed in US dollar terms, values in euro were some 16% lower than in the previous year (i.e. x 100/119.7). In 2016, the US dollar and the euro maintained virtually the same average exchange rate for the year, but both appreciated against some other currencies, most notably the British Pound. So expressed in US dollar terms, values in euro were equal to the previous year.

Exchange rate US$ to euro and vice versa, average for the year US$ to euro change (%) euro to US$ change (%)

2005 0.8038 1.2441 2006 0.7964 -0.9 1.2556 0.9 2007 0.7297 -8.4 1.3705 9.2 2008 0.6799 -6.8 1.4708 7.3 2009 0.7169 5.4 1.3948 -5.2 2010 0.7543 5.2 1.3257 -5.0 2011 0.7184 -4.8 1.3920 5.0 2012 0.7783 8.3 1.2848 -7.7 2013 0.7530 -3.3 1.3281 3.4 2014 0.7527 0.0 1.3285 0.0 2015 0.9013 19.7 1.1095 -16.5 2016 0.9034 0.2 1.1069 -0.2

In order to account for exchange rate changes and inflation, international tourism receipts expressed in US dollar values (for reason of comparison) were converted back to the local currencies of each destination, weighted by the share in the total, and deflated by the relevant rate of inflation. Although in this way data are made comparable, care should nevertheless be taken in interpreting the trends, as statistics, in most cases, are still provisional and subject to revision. For the totals, estimates are made by UNWTO for countries that have not yet reported results, based on the previous year’s value and the trend for the (sub)region. Unlike arrivals, where revisions generally more or less balance out, receipts data tends to be revised upwards.


Annex–16

International Tourist Arrivals by (sub)region and selected countries and territories of destinationFull year Change Monthly/quarterly data (% change over same period of the previous year)

Series 2005 2010 2014 2015 2016* 15/14 16*/15 Series 2016* 2015*

(1000) (%) (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Europe 453,194 488,954 575,634 602,570 614,960 4.7 2.1 2.0 6.8 -0.6 0.6 4.4 1.8 5.3 7.4 5.2 4.9 5.5 3.8- of which EU-28 367,915 384,279 454,030 477,841 499,594 5.2 4.6 4.6 8.6 2.3 3.4 6.7 4.2 7.8 9.3 5.3 5.6 5.4 4.7Northern Europe 59,855 62,845 70,799 75,410 80,205 6.5 6.4 6.4 10.8 3.4 6.1 7.1 -0.2 12.7 11.0 3.5 4.8 7.3 10.0Denmark TF 9,178 8,744 10,267 10,424 .. 1.5 .. TCE 4.2 15.6 -0.6 3.3 5.3 3.2 6.2 7.1 7.2 4.2 6.9 10.0Finland TCE 2,080 2,319 2,731 2,622 2,788 -4.0 6.3 TCE 6.3 9.9 4.1 2.4 11.7 1.3 9.5 20.5 -13.9 -6.6 0.3 3.2Iceland TF 374 489 998 1,289 1,792 29.2 39.0 THS 37.6 39.1 29.4 30.0 64.3 49.6 72.1 78.0 33.4 30.9 30.1 50.6Ireland TF 7,333 7,134 8,813 9,528 .. 8.1 .. TF* 10.9 16.5 10.8 10.5 7.2 7.8 4.3 9.4 14.1 10.3 13.5 17.8Norway TCE 3,824 4,767 4,855 5,361 .. 10.4 .. TCE 12.4 12.3 10.6 15.7 2.0 0.6 -0.4 6.1 -3.5 5.2 11.8 11.6Sweden TF 4,883 4,951 10,522 .. .. .. .. TCE 7.0 9.0 6.0 7.7 1.6 10.6 7.3 12.4 18.1United Kingdom TF 28,039 28,296 32,613 34,436 .. 5.6 .. VF 3.4 7.7 -0.2 1.5 6.4 -5.1 17.1 10.8 2.0 5.2 4.7 7.9

Western Europe 141,670 154,362 174,398 180,286 179,794 3.4 -0.3 -0.3 5.5 -3.8 -2.6 4.2 0.0 5.1 8.8 4.1 3.7 4.9 -0.8Austria TCE 19,952 22,004 25,291 26,719 28,114 5.6 5.2 TCE 5.2 10.3 -3.3 5.7 5.8 9.8 3.6 4.0 5.5 5.2 9.9 -0.7Belgium TCE 6,742 7,186 7,887 8,355 .. 5.9 .. TCE -13.2 -3.2 -18.4 -15.0 -10 5.6 9.7 8.8 -1.9France TF 74,988 77,648 83,701 84,452 .. 0.9 .. TCE -4.0 0.3 -6.7 -6.3 4.3 -4.7 7.0 15.8 2.9 2.4 3.3 -5.1Germany TCE 21,499 26,875 33,005 34,971 35,555 6.0 1.7 TCE 1.7 5.9 0.9 0.0 1.7 -0.3 3.2 2.7 5.4 5.8 6.6 5.6Liechtenstein TCE 50 64 61 57 69 -7.5 21.7 THS 21.7 14.1 19.1 30.0 18.1 9.6 22.9 25.6 -3.6 -6.7 -10.0 -7.8Luxembourg TCE 913 793 1,038 1,090 .. 4.9 .. TCE 12.5 9.7 4.8 -7.0Monaco THS 286 279 329 331 336 0.7 1.4 THS 1.4 8.2 1.0 -2.7 1.7 3.7 4.3 -3.5 9.8 -1.3 7.6 -11.7Netherlands TCE 10,012 10,883 13,926 15,007 15,833 7.8 5.5 TCE 5.5 16.9 -0.1 3.0 7.8 10.0 3.4 9.8 6.8 6.8 8.7 8.4Switzerland THS 7,229 8,628 9,158 9,305 9,205 1.6 -1.1 THS -1.2 -1.3 -1.2 -2.7 2.0 -1.1 0.9 6.8 1.1 2.3 4.0 -2.9

Central/Eastern Eur. 95,253 98,490 115,589 121,390 126,252 5.0 4.0 3.8 7.1 3.0 3.0 3.4 3.5 2.9 3.7 6.1 7.4 7.7 4.3Armenia TF 319 687 1,204 1,192 1,260 -1.0 5.7 TF 5.7 8.6 -3.2 4.9 13.3 -4.0 1.8 0.4 -3.2Azerbaijan TF 693 1,280 2,160 1,922 .. -11.0 .. VF -0.9 -0.9 -0.9 -11.1 -11.1 -14.2 -14.2Belarus TCE 253 677 973 860 .. -11.6 .. TCEBulgaria TF 4,837 6,047 7,311 7,099 .. -2.9 .. VF 13.8 6.7 15.8 12.8 19.2 17.6 20.0 20.4 4.2 0.1 -3.8 2.4Czech Republic TF 9,404 8,629 10,617 11,148 .. 5.0 .. TCE 6.7 11.9 1.7 5.6 10.3 10.4 8.7 11.8 7.4 7.7 9.2 5.3Estonia TF 1,917 2,372 2,917 2,989 3,143 2.5 5.2 TCE 6.6 8.2 5.4 6.7 6.9 5.6 4.3 10.7 -10.6 -5.9 0.9 1.8Georgia TF .. 1,067 2,229 2,282 2,715 2.4 19.0 VF 7.6 14.8 11.6 3.9 4.6 4.5 5.1 4.3 -2.1 8.2 10.5 7.6Hungary TF 9,979 9,510 12,139 14,316 15,256 17.9 6.6 TF 6.6 21.3 9.2 -1.3 4.7 14.0 20.2 21.0 14.3Kazakhstan TF 3,143 2,991 4,560 .. .. .. .. VF -1.2 -1.3 -1.1 2.4 -12.9 23.8 -3.1Kyrgyzstan VF 319 855 2,849 3,051 .. 7.1 .. ..Latvia TF 1,116 1,373 1,843 2,024 .. 9.8 .. TCE 6.7 2.5 5.1 7.6 10.8 11.0 10.1 11.1 1.0 4.7 3.6 1.6Lithuania TF 2,000 1,507 2,063 2,071 .. 0.4 .. TCE 9.4 11.5 10.8 10.8 3.4 3.3 4.5 2.5 -0.9 0.9 5.1 2.1Poland TF 15,200 12,470 16,000 16,728 .. 4.6 .. TF 2.3 2.3 2.4 3.3 5.9 5.4 3.2Rep. Moldova TCE 67 64 94 94 121 0.5 28.6 TCE 28.6 36.2 29.9 30.9 20.5 -6.9 4.1 1.9 0.8Romania TCE 1,430 1,343 1,912 2,235 2,471 16.9 10.6 TCE 10.6 16.3 9.3 7.5 13.1 18.3 8.1 11.3 15.3 17.0 21.4 11.1Russian Federation VF 22,201 22,281 25,438 26,852 24,551 5.6 -8.6 VF -8.6 -2.6 -7.0 -9.2 -14.2 10.8 10.8 4.4 -1.9Slovakia TF 6,184 5,415 .. .. .. .. .. TCE 16.9 23.5 14.4 19.0 11.4 12.9 11.8 9.1 3.7 15.5 21.1 24.3Tajikistan VF .. 160 213 414 .. 94.0 .. TF 11.6 8.6 14.1 98.6 98.6 1.0 268.6Ukraine TF 17,631 21,203 12,712 12,428 13,333 -2.2 7.3 TFUzbekistan TF 242 975 .. .. .. .. .. TF

Southern/Medit. Eur. 156,417 173,258 214,848 225,483 228,709 4.9 1.4 1.4 6.3 -1.2 0.3 4.3 2.6 4.4 7.6 6.5 4.6 4.6 5.2Albania TF 628 2,191 3,341 3,784 4,070 13.3 7.5 VF 14.6 15.3 6.7 19.5 11.0 1.3 19.4 12.7 11.6Andorra TF 2,418 1,808 2,363 2,670 2,831 13.0 6.0 TF 6.0 12.9 -11.7 1.4 16.9 18.0 6.3 22.3 9.3 19.6 19.7 5.6Bosnia & Herzg. TCE 217 365 536 678 777 26.5 14.5 TCE 14.5 12.8 8.7 19.0 16.1 13.8 12.9 24.3 28.9 30.1 31.3 11.6Croatia TCE 7,743 9,111 11,623 12,683 13,809 9.1 8.9 TCE 8.8 21.8 0.1 10.8 19.2 14.7 27.0 29.2 24.4 6.8 10.1 3.0Cyprus TF 2,470 2,173 2,441 2,659 3,187 8.9 19.8 TF 19.8 32.4 18.6 16.6 24.9 32.6 14.9 12.2 16.2 3.6 9.0 16.9FYR Macedonia TCE 197 262 425 486 510 14.2 5.1 TCE 5.1 15.8 4.5 -0.3 10.4 12.8 5.9 11.2 14.0 10.6 19.9 8.8Greece TF 14,765 15,007 22,033 23,599 24,799 7.1 5.1 TF 5.1 -6.2 -0.2 6.5 15.9 17.3 11.7 15.6 45.6 15.0 2.6 -2.1Israel TF 1,903 2,803 2,927 2,800 2,900 -4.3 3.6 TF 3.6 0.5 -2.6 0.9 16.1 -6.2 37.7 26.0 -15.9 -18.0 30.7 -0.4Italy TF 36,513 43,626 48,576 50,732 52,622 4.4 3.7 TF 3.7 4.1 4.6 4.8 0.3 -3.3 2.7 3.9 4.0 6.6 2.0 6.1Malta TF 1,171 1,339 1,690 1,783 1,966 5.5 10.2 TF 10.2 12.7 8.4 6.2 17.8 9.4 24.2 30.9 7.3 2.8 4.5 10.1Montenegro TCE 1,088 1,350 1,560 1,662 15.6 6.5 TCE 11.3 6.1 10.5 10.1 22.5 30.3 20.4 5.8 13.4 4.9 7.3 7.1Portugal TCE 5,956 6,832 9,277 10,140 11,426 9.3 12.7 TCE 12.7 20.0 9.8 10.3 16.1 14.2 20.5 15.4 9.8 8.2 9.2 10.8San Marino THS 50 60 75 54 60 -27.7 10.2 TCE 10.2 18.6 3.9 13.4 7.0 0.6 16.6 7.3 -35.1 -34.9 -28.7 -6.1Serbia TCE 683 1,029 1,132 1,281 10.1 13.2 TCE 13.2 18.5 5.2 12.4 20.3 15.3 29.9 18.6 11.8 14.0 9.6 5.0Slovenia TCE 1,555 1,869 2,411 2,707 .. 12.3 .. TCE* 11.4 19.8 2.0 12.7 15.7 21.2 14.9 9.1 10.5 11.1 13.8 7.8Spain TF 55,914 52,677 64,939 68,536 75,580 5.5 10.3 TF 10.3 13.9 10.4 8.2 11.1 11.0 9.2 13.3 4.8 4.9 4.5 8.9Turkey TF 24,193 31,364 39,811 39,478 .. -0.8 .. TF* -28.5 -9.9 -34.6 -34.3 -19.0 -23 -19 -11 4.0 -5.1 0.8 -2.6



Annex–17

International Tourism Receipts by (sub)region and selected countries and territories of destination


2005 2010 2014 2015 2016* 14/13 15/14 2016* 2015*

(million) Series (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Europe 351,480 411,907 512,895 449,730 0

- of which EU-28 302,303 343,824 426,439 372,656 0

Northern Europe 53,875 59,547 81,397 77,330 0Denmark 5,278 5,853 7,626 6,684 6,902 6.6 5.1 3.3 8.4 0.7 3.1 3.0 5.6 4.5 5.1 5.3Finland 2,186 3,051 3,594 2,559 2,859 -11.3 -14.7 12.0 11.1 1.5 1.9 40.0 -14.7 -19.5 -10.4 -15.9Iceland 413 561 1,371 1,617 2,415 22.1 33.3 36.8 42.7 34.1 30.9 49.5 34.1 36.1 29.9 36.8Ireland 4,806 4,118 4,857 4,793 5,186 8.5 18.2 8.4 16.8 5.5 8.6 6.5 9.9 18.5 19.2 22.0Norway 3,495 4,707 5,575 4,893 5,205 6.0 12.3 10.8 12.6 10.1 13.0 7.8 6.7 14.2 16.3 9.8Sweden 6,584 8,366 11,835 11,322 12,497 14.7 17.6 12.0 23.3 10.7 4.0 14.9 22.7 13.6 18.4 16.9United Kingdom 31,113 32,892 46,539 45,462 39,615 6.2 5.2 -1.4 1.3 -7.9 -3.2 6.3 -1.4 12.8 -2.4 12.2

Western Europe 121,767 142,318 174,209 146,883 0Austria 16,054 18,596 20,824 18,218 19,300 2.9 4.8 6.2 10.5 -2.5 6.2 5.1 5.5 7.3 6.8 -1.5Belgium 9,868 11,425 13,929 11,968 11,839 4.0 2.9 -0.8 1.5 -7.7 -1.9 5.5 0.3 10.9 6.6 6.1 2.3 6.4 -2.9France 44,021 47,013 58,150 45,920 43,056 2.8 -5.4 -6.0 -1.4 -14.1 -4.5 1.1 -1.7 1.2 4.2 -11.5 -6.2 -5.2 1.5Germany 29,173 34,679 43,321 36,908 37,433 4.9 2.0 1.7 -0.8 1.1 1.3 4.9 1.4 4.9 9.1 5.4 3.7 1.3 -1.5Luxembourg 3,523 4,149 5,491 4,297 4,292 6.6 -6.3 0.1 7.0 -3.4 -2.3 0.7 -13.9 -1.7 -2.4 -7.9Netherlands 9,108 11,732 14,704 13,211 14,120 7.0 7.6 7.1 14.1 2.5 7.1 8.3 9.3 7.2 7.7 6.7Switzerland 10,020 14,724 17,790 16,361 15,937 4.9 -3.4 -0.3 -1.9 -0.3 0.9 0.0 -2.6 -3.5 -3.1 -4.5

Central/Eastern Eur. 32,844 48,312 58,196 49,654 0Armenia 223 646 966 936 .. $ 9.7 -3.1 1.5 5.9 -5.3 2.9 -6.4 -0.9 -1.3 -5.1Azerbaijan 78 657 2,432 2,309 2,714 $ 2.8 -5.0 17.5 -10.1 39.4 52.9 3.5 17.6 -21.5 13.7 -23.0Belarus 253 440 868 729 710 $ 9.6 -16.0 -2.6 -5.1 2.0 -5.8 -1.0 -10.9 -15.6 -17.4 -19.0Bulgaria 2,412 3,407 3,908 3,146 3,634 1.9 -3.6 15.7 6.1 16.9 15.7 21.3 18.3 23.5 23.5 3.9 -4.7 -5.8 1.8Czech Republic 4,813 7,172 6,822 6,057 6,309 2.9 5.1 3.5 11.4 -1.0 4.3 0.6 3.5 8.2 5.0 3.6Estonia 975 1,073 1,814 1,428 1,531 11.4 -5.8 7.5 9.2 10.5 4.7 6.1 -12.3 -5.9 -3.1 -4.1Georgia 241 659 1,787 1,936 2,166 $ 3.9 8.3 11.9 15.1 12.0 10.2 12.5 -2.9 7.1 14.2 9.0Hungary 4,101 5,628 5,872 5,326 5,653 13.8 8.9 7.0 7.5 9.1 5.3 6.7 9.9 4.7 14.3 5.2Kazakhstan 701 1,005 1,467 1,534 1,549 $ -3.6 4.5 1.0 -0.7 0.2 1.9 2.0 8.1 3.6 5.3 1.8Kyrgyzstan 73 160 423 426 .. $ -20.2 0.7 -0.1 -3.9 -2.3 3.0 -0.3 -1.6 -1.8 8.6Latvia 343 642 956 896 867 10.6 12.2 -3.0 13.8 -1.3 -9.4 -8.9 -8.9 -7.7 -9.9 11.9 13.7 12.0 11.3Lithuania 923 967 1,384 1,155 1,185 0.6 -0.1 2.9 2.9 2.3 -4.5 13.9 4.3 -9.4 6.7 -0.5Poland 6,307 9,576 11,234 9,728 9,728 3.8 5.8 8.8 8.5 7.9 10.1 8.4 6.7 5.1 5.6 5.9Rep. Moldova 103 163 228 204 245 $ 2.9 -10.6 19.9 19.1 20.0 24.3 15.9 -12.5 -9.1 -5.8 -15.2Romania 1,061 1,140 1,831 1,712 1,729 € 15.1 12.0 1.2 5.1 2.4 2.4 -4.7 -11.1 -3.5 0.0 43.1 11.7 1.6 5.2Russian Federation 5,870 8,830 11,759 8,420 7,788 $ -1.9 -28.4 -7.5 -31.8 -22.4 12.4 11.2 -26.8 -28.1 -28.8 -30.0Slovakia 1,210 2,233 2,578 2,363 2,748 0.8 9.7 16.6 17.3 19.3 16.5 13.2 5.9 8.1 13.4 10.3Ukraine 3,125 3,788 1,612 1,082 1,078 $ -68.3 -32.9 -0.4 -25.2 -6.6 14.9 5.8 -54.0 -26.7 -21.6 -27.6Uzbekistan 28 121 .. .. .. .. ..

Southern/Medit. Eur. 142,994 161,730 199,093 175,863 0Albania 854 1,613 1,705 1,500 1,691 € 16.0 5.4 13.0 8.3 7.5 25.4 6.8 13.0 6.1 3.5 1.8 Bosnia & Herzg. 521 594 707 661 709 3.2 11.7 7.6 0.6 4.2 10.6 11.3 23.8 13.0 13.5 0.1Croatia 7,380 8,075 9,866 8,834 9,634 € 2.8 7.6 8.5 15.0 5.3 9.0 10.5 12.7 7.3 7.5 6.5Cyprus 2,299 2,160 2,844 2,487 2,762 -1.7 4.7 11.9 18.7 12.7 10.7 11.5 18.2 2.3 -3.2 4.9 -8.1 11.2 10.3FYR Macedonia 89 197 295 267 285 € 10.5 8.3 6.9 10.6 6.1 7.2 4.3 4.1 6.9 2.4 2.8 10.7 10.4 6.7Greece 13,349 12,742 17,793 15,673 14,618 € 10.2 5.5 -6.5 4.5 -9.7 -7.8 6.5 13.7 -12.7 -2.0 9.5 9.5 5.2 -3.9Israel 3,312 5,098 5,619 5,365 5,451 $ -0.4 -4.5 1.6 -0.8 -1.9 1.5 7.7 -6.5 19.1 15.3 -16.2 -16.7 18.5 4.4Italy 35,398 38,786 45,488 39,449 40,640 3.6 3.8 3.3 3.2 2.9 4.4 1.5 -0.9 2.4 5.0 5.4 5.8 1.7 4.0Malta 755 1,079 1,522 1,383 1,447 8.4 8.8 4.8 8.7 2.2 1.8 12.8 9.2 12.2 8.3 6.1Montenegro 276 732 906 902 925 2.5 19.1 2.8 13.4 6.5 1.0 22.6 13.7 12.1 20.7 18.7Portugal 7,712 10,077 13,808 12,705 14,036 12.4 10.2 10.7 9.7 8.8 9.8 15.1 16.8 17.7 10.3 14.7 10.8 9.1 8.4Serbia 308 798 1,139 1,048 1,151 € 9.0 9.5 10.0 20.9 9.6 6.5 8.1 18.4 15.4 -4.8 3.9 5.3 12.8 12.6Slovenia 1,805 2,552 2,737 2,504 2,597 0.8 9.6 3.9 8.8 -6.1 6.4 7.6 12.0 7.2 3.2 6.0 17.8 9.5 3.9Spain 49,747 54,641 65,111 56,468 60,346 3.9 3.8 7.1 5.5 8.0 5.7 9.8 10.2 3.7 16.7 2.6 3.1 3.1 7.1Turkey 19,191 22,585 29,552 26,616 18,743 $ 5.6 -9.9 -29.6 -16.8 -35.3 -33.0 -25.7 -30.3 -24.5 -16.1 0.3 -15.9 -6.2 -15.5



Annex–18


Series 2005 2010 2014 2015 2016* 15/14 16*/15 Series 2016* 2015*

(1000) (%) (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Asia and the Pacific 154,084 208,108 269,495 284,082 308,643 5.4 8.6 8.7 9.6 8.4 10.2 6.6 6.7 5.8 7.2 4.3 5.0 5.5 6.3North-East Asia 85,932 111,508 136,276 142,075 154,302 4.3 8.6 8.6 8.9 8.6 10.3 6.8 6.0 5.9 8.7 4.5 4.6 1.6 6.4China TF 46,809 55,665 55,622 56,886 59,270 2.3 4.2 TF 4.2 4.5 4.1 4.1 4.1 4.1 4.1 4.1 2.1 4.1 1.6 1.3Hong Kong (China) TF 14,773 20,085 27,770 26,686 26,553 -3.9 -0.5 TF -0.5 -5.8 1.8 -0.4 2.4 -0.8 1.9 6.1 -3.5 -4.1 -6.7 -1.1Japan VF 6,728 8,611 13,413 19,737 24,039 47.1 21.8 VF 21.8 39.3 19.0 17.1 15.5 16.8 13.8 15.7 43.7 48.0 53.7 42.8Korea (ROK) VF 6,023 8,798 14,202 13,232 17,242 -6.8 30.3 VF 30.3 12.1 30.2 68.3 16.2 14.7 13.8 20.3 12.1 -7.8 -28.3 3.7Macao (China) TF 9,014 11,926 14,566 14,308 15,704 -1.8 9.8 TF 9.8 9.0 7.6 9.0 13.1 12.1 10.4 16.5 -9.8 -3.4 0.1 5.9Mongolia TF 339 456 393 386 404 -1.7 4.7 TF 4.7 -7.9 4.3 4.7 14.7 -6.7 -3.7 5.4 -10.3Taiwan (pr. of China) VF 3,378 5,567 9,910 10,440 10,690 5.3 2.4 VF 2.4 16.0 2.2 -3.1 -4.0 -8.7 -5.1 1.4 5.4 1.5 5.5 8.7

South-East Asia 48,971 70,473 97,036 104,243 112,988 7.4 8.4 8.4 10.4 8.6 9.8 4.9 6.6 4.2 4.1 4.9 7.3 10.3 6.1Brunei TF 126 214 201 218 219 8.6 0.3 TF 0.3 -2.8 -6.0 5.5 5.1 3.5 1.9 10.0 8.9 15.0 3.9 6.6Cambodia TF 1,333 2,508 4,503 4,775 5,012 6.1 5.0 TF 5.0 2.6 2.4 9.8 5.2 1.3 7.4 6.4 3.1 6.5 4.6 9.6Indonesia TF .. .. .. 9,963 .. .. .. VF 15.5 11.6 13.4 19.7 16.9 18.6 20.0 12.9 11.2 8.4 13.1 8.5Laos TF 672 1,670 3,164 3,543 .. 12.0 .. VF -9.8 -4.5 -3.9 -21.0 15.4 10.9 17.0 7.5Malaysia TF 16,431 24,577 27,437 25,721 26,757 -6.3 4.0 TF 4.0 2.8 4.6 3.3 5.3 11.7 2.5 2.5 -8.6 -10.3 -3.8 -2.3Myanmar TF 660 792 3,081 4,681 .. 51.9 .. TF 4.1 6.8 1.4 16.8 7.8 16.0 14.1Philippines TF 2,623 3,520 4,833 5,361 5,967 10.9 11.3 TF 11.3 15.1 12.1 9.0 9.1 7.5 17.1 4.3 6.3 9.3 17.3 11.3Singapore TF 7,079 9,161 11,864 12,052 12,913 1.6 7.1 VF 7.7 14.0 11.2 3.7 2.6 -0.7 2.6 5.6 -6.1 -0.5 5.8 4.5Thailand TF 11,567 15,936 24,810 29,923 32,588 20.6 8.9 TF 8.9 15.4 8.2 13.1 -0.9 0.5 -4.4 1.1 22.9 36.9 24.4 4.7Timor-Leste TF .. 40 60 62 66 3.0 6.6 VF 6.6 4.4 0.6 10.7 10.4 8.7 5.2 2.5 -3.8Vietnam VF 3,478 5,050 7,959.9 7,944 10,013 -0.2 26.0 VF 24.6 19.8 23.0 34.6 21.9 23.1 24.8 17.8 -11.8 -6.9 8.2 18.4

Oceania 10,919 11,386 13,260 14,265 15,653 7.6 9.7 9.7 10.2 9.3 10.8 8.7 9.6 7.4 9.2 8.7 5.9 6.7 8.5American Samoa TF 24 23 22 20 20 -5.9 -1.4 TF -1.4 -16.1 1.2 7.5 2.5 3.6 15.9 -9.6 -0.5 -0.1 -6.5 -16.8Australia VF 5,463 5,790 6,884 7,444 8,263 8.1 11.0 VF 11.0 11.4 11.8 12.5 8.8 11.1 7.7 8.1 9.6 5.3 7.9 9.1Cook Islands TF 88 104 121 125 146 3.0 17.1 TF 17.1 17.2 20.4 17.1 13.8 7.5 17.9 17.7 -2.8 3.0 2.6 7.6Fiji TF 545 632 693 755 792 9.0 5.0 TF 5.0 10.2 -0.2 4.1 7.3 6.5 4.9 10.3 7.4 9.7 9.9 8.4French Polynesia TF 208 154 181 184 192 1.8 4.7 TF 4.7 5.5 10.1 5.6 -2.0 -0.4 -8.8 3.4 -1.2 -0.5 7.7 0.5Guam TF 1,228 1,197 1,343 1,409 1,535 4.9 9.0 TF 9.0 7.4 15.0 8.0 6.7 9.1 3.3 7.7 3.2 0.6 4.5 11.1Kiribati TF 5 5 6 4 .. -28.4 .. VF 21.6 385 -16.5 50.6 -94.0 24.1 -30.3 9.8Marshall Islands TF 9 5 5 6 .. 28.6 .. TF*Micronesia FSM TF 19 45 35 30 .. -14.7 .. TF -22.3 -15.9 -4.9 -14.6N.Mariana Islands VF 507 379 460 479 531 4.1 10.9 VF 10.9 -0.4 -5.4 27.1 24.6 6.0 24.8 42.4 5.7 18.2 -4.7 -0.9New Caledonia TF 101 99 107 114 105 6.3 -7.6 TF 1.5 5.7 -5.3 2.4 2.3 1.0 1.5 4.1 9.3 14.0 5.5 0.2New Zealand TF 2,353 2,435 2,772 3,039 .. 9.6 .. VF 11.8 13.2 9.3 12.2 11.6 13.5 11.0 11.1 10.7 8.0 8.4 10.3Niue TF 3 6 7 8 .. 3.9 .. TFPalau TF 81 85 140 162 138 15.5 -14.9 TF -14.5 -16.7 -13.6 -5.5 -22.5 -28 -18 -22 46.6 30.1 5.3 -11.7Papua New Guinea TF 69 140 182 184 .. 1.1 .. TF -7.7 -2.2 -5.5 -15.3 -5.4 1.9 -1.0 9.8Samoa TF 102 122 120 134 .. 10.9 .. VF 3.9 13.0 10.6 -3.4 -0.2 -2.2 -4.6 3.5 5.3 -0.2 9.0 7.0Solomon Islands TF 9 21 20 22 .. 7.8 .. TF 4.5 14.5 2.1 -0.9 -7.5 13.3 4.2 21.2Tonga TF 42 47 50 54 .. 6.6 .. TF 13.5 17.2 16.2 5.9 11.2 2.2 7.7Tuvalu TF 1 2 1 2 .. 69.5 .. TFVanuatu TF 62 97 109 90 95 -17.3 5.7 TF 5.7 -9.8 12.5 10.0 7.7 12.6 3.2 6.6 -5.5 -26.9 -20.3 -13.5

South Asia 8,262 14,741 22,923 23,499 25,700 2.5 9.4 9.4 9.2 5.6 11.2 11.0 10.5 10.5 11.7 -1.4 -3.2 9.8 5.1Bangladesh TF 208 303 125 .. .. .. .. TFBhutan TF 14 41 133 155 .. 16.2 .. TF* 11.6 -13.8 5.6 46.1 16.1 12.3 13.5 29.6 47.4 -15.2 -46.2 -16.7India TF 3,919 5,776 13,107 13,284 .. 1.4 .. TF 10.8 10.0 7.3 14.2 11.2 10.4 9.3 13.6 3.5 4.1 7.1 4.0Iran VF 1,889 2,938 4,967 5,237 .. 5.4 .. VF -12.0 -9.7 25.6 24.0Maldives TF 395 792 1,205 1,234 1,286 2.4 4.2 TF 4.2 4.3 -1.2 4.7 8.5 11.4 15.9 0.2 2.6 -0.3 3.6 3.7Nepal TF 375 603 790 539 753 -31.8 39.7 TF 39.7 12.8 12.8 68.4 68.4 68.4 68.4 68.4 -19.5 -47.4 -36.8 -26.6Pakistan TF 798 907 965 .. .. .. .. TFSri Lanka TF 549 654 1,527 1,798 2,051 17.8 14.0 TF 14.0 22.1 8.0 12.0 12.4 13.7 16.0 9.1 13.6 14.8 27.9 14.9



Annex–19



2005 2010 2014 2015 2016* 14/13 15/14 2016* 2015*

(million) Series (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Asia and the Pacific 135,854 250,318 358,665 349,131 0

North-East Asia 64,269 122,963 176,856 167,099 0China 29,296 45,814 44,044 44,969 44,432 $ -14.7 2.1 -1.2 7.7 1.4 -5.2 -6.3 0.5 3.7 3.3 0.8Hong Kong (China) 10,294 22,200 38,376 36,150 32,748 -1.5 -5.8 -9.3 -15.1 -9.4 -8.3 -4.2 -3.8 -3.3 -7.6 -8.4Japan 6,630 13,199 18,853 24,983 30,678 35.3 51.4 10.4 27.1 4.5 10.0 2.3 2.3 0.6 3.8 64.0 53.6 58.2 34.8Korea (ROK) 5,806 10,328 17,836 15,214 17,210 $ 21.9 -14.7 13.1 1.8 14.0 30.5 9.9 12.9 13.2 3.9 17.2 -3.3 -35.4 -26.0Macao (China) 6,924 22,276 42,738 30,969 29,881 -0.9 -27.6 -4.5 -14.5 -10.7 1.8 6.3 -28.7 -30.7 -26.0 -19.1Mongolia 177 244 215 246 316 $ 9.0 14.4 28.8 12.4 88.5 35.3 -15.5 -30.3 2.3 -4.3 -3.0 -23.9 11.0 102.5Taiwan (pr. of China) 4,977 8,721 14,614 14,387 13,383 $ 18.6 -1.6 -7.0 5.5 -7.2 -13.5 -12.1 -0.5 -3.5 -2.3 0.2

South-East Asia 35,002 68,547 108,169 108,502 0Brunei 191 .. 79 140 .. $ -17.9 77.5 75.7 86.5 70.7 77.7Cambodia 840 1,519 2,953 3,130 3,207 11.3 6.8 2.2 -0.8 -7.1 4.1 11.9 8.4 15.1 5.4 0.1Indonesia 4,522 6,958 10,261 10,761 12,203 $ 12.5 4.9 13.4 5.0 9.9 17.2 20.5 6.7 2.6 7.3 2.8Laos 147 382 642 679 .. $ 7.7 5.9 12.3 13.2 -1.6 -0.7Malaysia 8,847 18,115 22,595 17,531 16,908 9.2 -7.4 2.4 -0.9 4.2 3.4 3.2 -9.7 -10.2 -4.5 -5.0Myanmar 67 72 1,613 2,101 .. $ 68.2 30 4.7 8.1 0.0 77.3 11.6 23.2 20.4Philippines 2,287 2,645 5,030 5,272 5,139 $ 7.3 4.8 -2.5 6.3 10.7 -11.9 -14.8 -12.0 -11.1 -19.5 0.4 -2.4 30.8 -3.0Singapore 6,209 14,178 19,134 16,563 18,386 0.9 -6.1 11.5 3.5 16.0 14.2 12.4 -12.0 -8.0 1.2 -5.2Thailand 9,576 20,104 38,418 44,922 49,871 -2.7 23.0 14.7 21.4 14.5 17.1 5.9 22.4 40.9 31.8 6.1Timor-Leste .. 31 35 51 58 $ 22.0 45 13 -0.6 17.6 16.3 20.5 70.4 64.4 41.6 13.1Vietnam 2,300 4,450 7,410 7,350 8,250 $ 2.2 -0.8 12.2 7.4 21.9 25.3 -2.8

Oceania 26,624 38,735 44,250 42,029 0Australia 16,748 28,598 31,441 28,872 32,524 10.1 10.2 13.8 13.3 11.9 16.9 13.2 15.2 11.9 12.5 11.3 10.5 8.1 10.8Cook Islands 91 111 175 .. .. 3.0 ..Fiji 485 634 744 744 765 6.6 11.1 2.7 9.7 -1.0 -10.0 15.3 8.7 12.3 12.0 10.8French Polynesia 530 406 510 .. .. 11.4 ..Kiribati 4 4 3 .. .. $ -3.2 ..Marshall Islands 3 4 5 .. .. 27.2 ..Micronesia FSM 16 24 25 .. .. 5.5 ..New Caledonia 149 129 184 .. .. 9.3 ..New Zealand 6,473 6,522 8,424 9,050 9,638 12.6 27.8 6.7 15.6 6.7 -3.7 3.9 28.4 33.4 39.6 14.9Palau 60 73 127 149 .. $ 12.3 17.3Papua New Guinea 11 6 7 5 .. -17.6 -24.6 -25.9 -20.3 -33.3 -50.0 -64.7 -26.1 200.0Samoa 73 123 146 141 151 8.0 6.0 7.9 21.1 14.5 0.7 -0.3 -1.0 -5.8 3.3 8.2 -1.4 10.6 7.1Solomon Islands 2 44 55 51 .. -7.9 -1.0 2.4 0.0 21.9 -13.6 0.0 1.1 -17.6 11.3Tonga 15 27 .. .. .. .. ..Tuvalu 1 2 .. .. .. .. ..Vanuatu 85 217 257 228 .. $ -10.3 -11.5 3.7 19.8 -8.5 -23.1 -9.5 -8.3 -7.3

South Asia 9,958 20,072 29,389 31,501 0Afghanistan .. 86 84 82 .. $ -44.7 -2.2 -36.7 13.3 -30.3 -79.0 -57.2 86.2 5.8 -63.6Bangladesh 75 87 153 148 .. $ 19.2 -3.2 4.5 -8.9 -3.3 -3.5Bhutan 19 35 73 71 74 $ 15.4 -2.8 3.6 -8.5 -2.3 5.9 13.4 7.6 18.3 26.5 49.8 -10.2 -12.3 -11.7India 7,493 14,490 19,700 21,013 22,427 14.5 9.6 15.1 15.9 12.0 15.4 16.7 16.6 14.4 18.7 3.6 14.4 13.7 8.4Iran 791 2,438 3,483 .. .. $ 13.2 ..Maldives 826 1,713 2,696 2,567 2,515 $ 15.4 -4.8Nepal 132 343 487 481 446 16.6 3.7 -2.7 -39.4 -7.8 27.6 32.7 51.7 1.9 -12.1 -20.6Pakistan 182 305 282 317 322 $ -2.1 12.4 1.6 3.7 2.5 10.1 -8.2 -8.3 0.1 -14.3 13.9 12.5 3.0 19.7Sri Lanka 429 576 2,431 2,981 3,518 $ 41.7 22.6 15.1 22.1 8.0 12.0 16.4 13.7 16.0 18.3 18.3 19.6 33.2 19.6



Annex–20


Series 2005 2010 2014 2015 2016* 15/14 16*/15 Series 2016* 2015*

(1000) (%) (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Americas 133,317 150,078 181,864 192,705 200,246 6.0 3.9 3.9 6.4 0.5 4.0 4.9 5.5 3.8 5.2 8.0 4.6 5.2 6.3North America 89,891 99,520 120,904 127,581 131,428 5.5 3.0 3.1 4.9 -0.2 3.2 4.7 6.1 3.1 4.8 5.2 5.8 5.3 5.7Canada TF 18,771 16,219 16,537 17,977 19,974 8.7 11.1 TF 11.1 18.3 7.2 11.0 12.1 12.5 12.7 11.3 7.0 10.2 8.1 9.2Mexico TF 21,915 23,290 29,346 32,093 34,961 9.4 8.9 TF 8.9 11.2 6.1 8.2 10.1 16.6 4.9 9.7 7.0 8.2 12.8 9.7United States TF 49,206 60,010 75,022 77,510 .. 3.3 .. TF -2.3 0.1 -4.6 4.2 3.9 2.2 3.4

Caribbean 18,803 19,521 22,295 24,090 25,258 8.1 4.8 4.8 6.3 2.7 5.7 4.3 1.1 4.8 6.0 8.0 7.6 8.9 8.0Anguilla TF 62 62 71 73 79 3.2 8.2 TF 8.2 9.4 4.7 12.1 7.1 14.3 10.0 2.5 6.0 -2.0 9.0 0.9Antigua & Barbuda TF 245 230 249 250 265 0.5 5.9 TF 5.9 13.5 3.5 8.9 -2.8 1.2 -1.5 -6.1 -6.4 0.3 0.7 9.3Aruba TF 733 825 1,072 1,225 1,102 14.3 -10.0 TF -10.0 5.4 -3.0 -14.1 -25.4 -30 -29 -18 20.2 12.2 12.6 12.7Bahamas TF 1,608 1,370 1,427 1,484 .. 4.0 .. TF 2.5 3.2 3.3 0.8 7.5 0.5 6.0 2.3Barbados TF 548 532 520 588 625 13.1 6.3 TF 6.7 7.4 3.3 6.2 9.2 4.1 18.5 4.9 15.3 14.3 14.9 11.3Bermuda TF 270 232 224 220 244 -2.0 11.2 TF 11.2 11.3 5.2 13.7 17.0 4.2 31.4 20.7 -6.7 -1.8 -2.2 1.2Brit. Virgin Islands TF 337 330 386 393 408 1.8 3.8 TF 3.8 5.4 1.4 6.7 1.8 5.1 -2.1 3.1 3.8 -0.2 1.7 1.5Cayman Islands TF 168 288 383 385 385 0.7 0.0 TF 0.0 -2.5 -0.1 4.9 -1.0 -3.9 -1.8 1.0 5.7 -3.2 -1.4 0.8Cuba TF 2,261 2,507 2,970 3,491 .. 17.5 .. VF 13.5 13.5 9.0 13.5 17.4 17.4 17.4 17.4 14.2 18.4 24.3 15.6Curaçao TF 222 342 455 468 441 2.9 -5.6 TF -5.6 5.0 -2.7 -6.4 -17.0 -17 -19 -15 11.6 -1.2 0.5 0.8Dominica TF 79 77 82 74 78 -8.6 4.8 TF 4.8 -4.3 -14.7 0.5 47.5 119 16.6 14.7 1.1 -2.2 -3.2 -29.3Dominican Rep. TF 3,691 4,125 5,141 5,600 5,959 8.9 6.4 TF 6.4 7.0 5.8 8.6 4.2 6.0 2.9 4.0 7.4 6.8 11.6 10.2Grenada TF 99 110 134 141 144 5.4 2.6 TF 2.6 12.3 -3.1 -0.8 0.6 9.1 -5.3 -0.9 4.8 8.1 6.5 2.5Guadeloupe TCE 372 392 486 512 580 5.3 13.3 THSHaiti TF 112 255 465 516 .. 10.9 .. TF -14.5 -14.4 10.4 24.7 4.2 6.9Jamaica TF 1,479 1,922 2,080 2,123 2,181 2.1 2.7 TF 2.7 3.2 1.8 2.7 3.3 0.9 3.0 5.0 5.0 1.1 1.0 1.0Martinique TF 484 476 490 487 519 -0.4 6.6 TF 6.6 11.7 1.0 6.8 4.9 2.2 7.1 5.1 -4.6 -1.0 2.6 3.2Montserrat TF 10 6 9 9 9 1.6 -1.1 TF -1.1 26.8 -20.6 -1.4 -10.5 -14 5.4 -14 -3.5 -4.1 19.3 -0.4Puerto Rico TF 3,686 3,186 3,246 3,542 3,736 9.1 5.5 THS -0.1 3.3 -3.7 4.1 -14 3.5 9.3 5.5 7.6Saint Lucia TF 318 306 338 345 348 2.0 0.9 TF 0.9 -0.9 -1.6 4.8 1.8 2.1 -2.2 4.8 6.4 4.2 -1.5 -1.7St. Kitts & Nevis TF 141 98 113 117 114 3.3 -2.3 TF -2.3 -4.8 -2.0 0.9 -2.2 3.2 -8.5 -0.8 7.4 1.1 -1.3 4.9St. Maarten TF 468 443 500 505 .. 1.1 .. TF(1) 5.5 11.5 -0.9 -3.1 2.6 6.4 0.6St. Vincent & Gren. TF 96 72 71 75 79 6.6 4.5 TF 4.5 8.2 10.5 0.2 -0.4 10.8 -0.3 -5.1 5.9 -2.7 8.5 14.3Trinidad & Tobago TF 463 388 413 440 409 6.6 -7.0 TF -7.0 -3.8 -8.3 -5.8 -10.6 -10 -14 -8.2 11.3 7.1 4.5 3.4Turks & Caicos TF 176 281 357 386 454 8.1 17.5 TF 17.5 18.5 22.0 16.3 12.2 25.3 9.6 7.5 9.9 6.1 6.3 9.7US Virgin Islands TF 594 572 615 642 .. 4.4 .. VF(1) 4.3 1.5 -2.2 12.8 8.3 13.4 5.1 7.8 5.4 8.0 3.0 1.3

Central America 6,301 7,808 9,592 10,243 10,823 6.8 5.7 5.7 9.5 2.9 6.1 3.8 9.1 1.2 2.4 5.3 5.7 7.1 9.2Belize TF 237 242 321 341 386 6.2 13.0 TF 13.0 16.9 16.2 16.0 3.3 14.7 -1.3 1.5 -0.2 -3.0 7.0 25.8Costa Rica TF 1,679 2,100 2,527 2,660 2,925 5.3 10.0 TF 10.0 13.3 10.9 12.9 2.4 8.7 -2.2 2.4 1.1 2.5 6.1 13.0El Salvador TF 1,127 1,150 1,345 1,402 1,434 4.2 2.3 TF 2.3 4.3 -4.0 2.7 6.3 13.3 7.4 1.5 4.0 3.2 6.0 3.7Guatemala TF .. 1,119 1,455 1,464 1,585 0.6 8.3 TF 7.6 16.4 -5.8 8.6 10.7 17.0 8.0 8.3 0.8 7.1 -5.6 3.2Honduras TF 673 863 868 880 .. 1.4 .. TF 4.4 6.5 8.8 4.0 3.9 -13 -3.2 -12.7 7.2 20.6Nicaragua TF 712 1,011 1,330 1,386 .. 4.3 .. TF 5.0 7.9 0.8 6.0 7.8 0.9 3.9 4.4Panama TF 702 1,324 1,745 2,109 .. 20.9 .. TF 1.0 3.0 0.9 -1.8 3.5 21.2 30.3 23.7 11.1

South America 18,322 23,229 29,073 30,791 32,736 5.9 6.3 6.1 9.6 1.0 5.9 6.3 4.8 7.0 6.8 17.9 -4.0 1.5 6.5Argentina TF 3,823 5,325 5,931 5,736 5,559 -3.3 -3.1 TF -3.1 -3.3 -11.7 -0.1 1.3 3.2 1.3 0.0 5.4 -4.7 -8.8 -7.0Bolivia TF 524 679 871 882 .. 1.3 .. THSBrazil TF 5,358 5,161 6,430 6,306 6,609 -1.9 4.8 TF 56.0 -35.3 -28.7 6.7Chile TF 2,027 2,801 3,674 4,478 5,641 21.9 26.0 TF 26.0 35.0 15.7 31.2 19.7 26.6 18.2 16.4 15.7 27.5 20.9 26.0Colombia TF 933 2,385 2,565 2,978 3,317 16.1 11.4 TF 13.3 14.5 7.8 16.2 14.1 17.5 16.9 9.0 17.9 18.6 15.6 13.8Ecuador VF 860 1,047 1,557 1,544 1,413 -0.8 -8.5 VF -8.5 -7.5 -13.5 -9.7 -3.7 3.0 -8.7 -5.1 6.4 -0.8 -1.2 -7.4French Guiana TF 95 189 185 199 .. 7.6 .. TFGuyana TF 117 152 206 207 .. 0.5 .. TF 11.1 7.0 24.3 3.8 14.0 -6.0 -3.5 0.9Paraguay TF 341 465 649 1,215 1,198 87.2 -1.3 TF -1.3 70.8 36.2 -35.6 -11.2 -40 3.4 11.9 21.6 31.9 214.9 76.3Peru TF 1,571 2,299 3,215 3,456 3,744 7.5 8.3 TF 7.8 7.1 5.2 10.9 7.4 8.3 7.4 7.6 6.7Suriname TF 160 205 252 228 .. -9.5 .. TF -25.6 -1.9 -1.8 -8.9 -24.2Uruguay TF 1,808 2,349 2,682 2,773 3,037 3.4 9.5 TF 9.5 13.7 -13.4 16.8 16.2 8.8 19.6 18.7 3.7 10.2 2.6 -0.8Venezuela TF 706 526 857 789 .. -7.9 .. VF -3.7 -3.9 -9.6 -18.0

Source: World Tourism Organization (UNWTO) © (Data as collected by UNWTO March 2017)See box at page 'Annex-1' for explanation of abbreviations and signs used (1) Non-resident air arrivals only


Annex–21



2005 2010 2014 2015 2016* 14/13 15/14 2016* 2015*

(million) Series (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Americas 164,903 215,304 288,287 304,252 0

North America 126,924 164,831 225,275 238,814 0Canada 13,651 15,829 17,742 16,558 18,151 7.8 7.9 13.6 14.0 8.5 14.7 17.4 10.5 9.1 5.6 7.8Mexico 11,803 11,992 16,208 17,734 19,571 $ 16.2 9.4 10.4 8.1 7.8 13.5 12.5 14.6 12.7 11.1 9.9 11.6 8.6 7.5United States 101,470 137,010 191,325 204,523 206,836 sa 7.8 6.9 1.1 3.1 -1.5 1.2 1.8 2.1 1.6 1.6 6.4 9.0 7.0 5.2

Caribbean 20,883 23,020 26,747 28,464 0Anguilla 86 99 128 128 130 4.4 0.0 2.7 0.2 0.2 7.6 4.1 5.8 -5.6 3.1 -4.5Antigua & Barbuda 309 298 319 323 332 1.6 1.1 4.9 11.5 2.6 7.8 -2.7 -0.4 -0.8 -5.5 -3.8 1.2 0.9 9.4Aruba 1,097 1,251 1,605 1,652 .. 7.4 2.9 -0.4 -1.4 0.0 0.5 7.4 3.2 1.0 -0.5Bahamas 2,069 2,163 2,316 2,537 .. 1.3 9.5 7.7 6.9 3.5 14.3 6.7 0.1 -0.1 15.8Barbados 896 1,038 888 957 1,045 -7.8 7.7 9.2 5.1 -5.3 57.1 -5.1 6.2 2.5 10.5 13.7Bermuda 429 442 401 386 .. -9.1 -3.7 13.9 -4.2 13.2 20.7 14.3 -6.5 -5.4 -5.5Brit. Virgin Islands 412 389 459 484 .. $ 9.0 5.4Cayman Islands 356 485 565 651 .. 13.0 15.3Cuba 2,322 2,187 2,367 2,601 .. 1.8 9.9 15.0 11.0 21.1 -3.9 23.2 18.5 18.1Curaçao 244 385 635 609 .. 8.8 -4.1 -4.2 0.7 -5.4 -8.9 9.9 -1.8 -6.6 -15.4Dominica 57 94 127 128 132 24.0 0.3 7.3 2.2 -16.4 11.0 35.2 78.2 20.1 16.8 8.4 4.4 -0.7 -18.3Dominican Rep. 3,518 4,163 5,630 6,116 6,722 $ 11.2 8.6 9.9 8.0 8.4 13.8 9.5 7.5 9.2 7.6 10.5Grenada 71 112 139 147 149 14.7 5.9 0.9 7.3 -8.6 -1.3 3.3 15.0 -2.8 1.7 18.3 6.3 7.4 0.6Guadeloupe 306 510 .. 614 .. .. ..Haiti 80 383 578 609 .. $ 5.9 5.4 10.4 24.6 4.3 0.1Jamaica 1,545 2,001 2,255 2,401 .. $ 8.7 6.4 5.9 6.3 5.5 5.8 9.3 5.7 6.9 3.5Martinique 280 472 483 340 .. -0.2 -15.7Montserrat 9 6 8 8 9 21.1 3.1 -0.7 21.4 -19.4 -2.2 -10.4 -11.8 4.7 -14.7 0.0 -1.1 23.0 -1.1Puerto Rico 3,239 3,211 3,439 3,825 3,985 $ 3.9 11.2Saint Lucia 382 309 390 397 404 10.3 1.7 44.6 -10.7 -6.0 122.4 109.9 120 100 111 12.1 5.2 -5.5 -7.8St. Kitts & Nevis 121 90 126 135 141 7.7 7.4 2.6 -1.9 -3.1 6.6 10.5 5.1 -2.0 22.3 9.6 5.2 2.3 8.1St. Maarten 659 674 906 936 .. 5.7 3.3 -4.2 -1.5 -9.5 -3.1 1.5 -8.2 -0.6 18.4St. Vincent & Gren. 104 86 92 96 101 0.0 3.6 6.6 8.1 7.6 -3.4 10.9 15.1 9.3 10.3 3.1 -6.1 6.3 11.2Trinidad & Tobago 453 450 .. .. .. $ .. ..US Virgin Islands 1,432 1,223 1,319 1,324 .. 12.9 0.4

Central America 4,486 6,947 10,559 11,375 0Belize 214 249 374 381 .. 6.5 2.0 10.3 -0.5 27.8 10.7 5.7 -19.9 -2.0 24.6Costa Rica 1,671 2,246 2,996 3,266 3,681 $ 2.3 9.0 12.7 16.2 13.5 15.9 5.3 3.8 6.3 9.6 17.5El Salvador 361 390 822 817 829 $ 32.3 -0.5 1.5 2.6 -0.5 -5.0 8.7 -0.6 -1.5 -2.7 2.6Guatemala 791 1,378 1,564 1,580 1,550 $ 5.7 1.0 -1.9 5.0 -4.6 -2.0 -6.6 2.6 4.7 -3.8 1.0Honduras 463 626 630 650 686 $ 3.5 3.3 5.4 4.0 8.8 4.4 4.7 3.6 3.1 3.3 3.2Nicaragua 206 314 446 528 642 $ 6.8 18.5 21.6 27.2 13.0 9.4 37.0 12.6 20.9 40.9 4.4Panama 780 1,745 3,728 4,153 4,374 6.7 11.4 5.3 5.6 4.5 6.9 4.3 17.1 -0.9 -0.9 13.3 12.6 14.0 5.6

South America 12,610 20,506 25,706 25,599 0Argentina 2,729 4,942 4,624 4,400 3,835 $ 7.2 -4.8 -12.8 -14.8 -17.4 -5.3 -13.1 5.7 -10.1 -9.1 -9.6Bolivia 239 379 652 693 .. $ 13.7 6.2 -11.4 -13.5 -8.6 6.2 6.2 6.2 6.2Brazil 3,861 5,261 6,843 5,844 6,024 $ 5.7 -14.6 3.1 12.7 0.3 8.8 -10.2 -4.3 1.3 -23.7 -4.9 -29.8 -21.3 1.2Chile 1,001 1,552 2,259 2,481 2,737 $ 3.6 9.9 10.3 17.8 -3.5 13.4 10.4 4.7 12.1 2.9 19.7Colombia 1,539 2,797 3,825 4,245 4,694 $ 5.9 11.0 10.6 10.1 10.4 11.3 10.4 18.2 6.4 4.4 15.6Ecuador 486 781 1,482 1,551 1,444 $ 18.9 4.7 -6.9 -5.2 -12.0 -8.4 -2.6 13.9 3.6 6.2 -4.3Guyana 35 80 79 65 .. $ 2.5 -17Paraguay 78 217 284 484 481 $ 4.1 70.4 -0.6 59.0 30.1 -33.1 -9.3 -35.7 3.7 11.1 17.8 25.0 179.8 62.1Peru 1,308 2,008 3,077 3,309 3,501 $ 2.6 7.5 5.8 3.9 4.6 7.9 6.5 8.6 7.2 8.1 6.3Suriname 45 61 95 88 52 $ 13.1 -8.0 -40.4 -69.5 1.5 -2.4 -98.5 0.0 1.4 -0.9 -35.1Uruguay 594 1,509 1,757 1,776 1,835 $ -8.6 1.1 3.3 -5.4 -15.1 2.4 38.6 -1.7 43.2 62.6 7.6 9.0 3.6 -13.4Venezuela 650 831 643 575 .. $ -25.1 -10.6 -18.6 -15.1 -7.4 1.3



Annex–22


Series 2005 2010 2014 2015 2016* 15/14 16*/15 Series 2016* 2015*

(1000) (%) (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Africa 34,780 50,426 55,039 53,424 57,828 -2.9 8.2 8.2 7.8 1.1 11.2 11.6 11.4 10.2 12.9 -6.1 -8.9 -5.9 -2.5North Africa 13,911 19,682 20,431 17,987 18,605 -12.0 3.4 3.4 -6.0 -9.7 12.1 13.2 9.0 12.1 18.3 -9.2 -14.4 -12.7 -10.2Algeria VF 1,443 2,070 2,301 1,710 .. -25.7 .. VF -32.6 -25.9 -28.4 -12.0Morocco TF 5,843 9,288 10,283 10,177 10,332 -1.0 1.5 TF 1.5 -0.5 -4.3 3.5 6.5 1.8 6.5 11.2 -0.5 -4.8 3.4 -4.7Sudan TF 246 495 684 741 .. 8.3 .. TF 5.7 12.3 8.0 7.9Tunisia TF 6,378 7,828 7,163 5,359 5,724 -25.2 6.8 TF 6.8 -18.7 -20.6 31.1 27.0 22.8 24.3 33.1 -14.2 -25.1 -32.5 -20.7

Subsaharan Africa 20,869 30,743 34,607 35,437 39,222 2.4 10.7 10.7 13.8 7.4 10.5 10.9 12.5 9.5 10.8 -4.7 -5.4 -0.3 1.0Angola TF 210 425 595 592 .. -0.6 .. TF 10.6 -28.1 -25.0 64.7Benin TF 176 199 242 255 .. 5.4 .. TF 6.1 -2.6 -1.2 16.2Botswana TF 1,474 1,973 1,966 1,528 .. -22.3 .. TF -32.9 -40.0 -16.4 -18.7Burkina Faso THS 245 274 191 163 .. -14.7 .. THS -17.5 -16.2 -22.3 0.2Burundi TF 148 142 235 131 .. -44.3 .. TFCameroon TF 176 569 .. .. .. .. .. THSCabo Verde THS 198 336 494 520 598 5.3 15.1 THS 15.1 18.9 16.9 8.5 15.1 -1.2 4.6 15.8 5.2Centr. African Rep. TF 12 54 96 121 .. 25.9 .. TF 35.5 20.1 28.9 19.7Chad THS 29 71 122 120 .. -1.6 .. THS 87.2 25.5 42.0 48.1Comoros TF 26 15 23 24 .. 3.5 .. TF 28.3 16.9 -3.9 -19.3Congo THS 35 194 227 .. .. .. .. THS -3.8 -12.1 9.1 -6.1Côte d'Ivoire VF .. 252 471 1,441 .. 205.9 .. TFDem. Rep. Congo TF 61 81 .. .. .. .. .. TFDjibouti TF 30 51 .. .. .. .. .. NHSEritrea VF 83 84 .. .. .. .. .. VFEthiopia TF 227 468 770 864 .. 12.2 .. TF 14.8 -2.3 17.2 17.5Gabon TF 151 .. .. .. .. .. .. TFGambia TF 108 91 156 135 .. -13.5 .. TF -42.0 -24.9 5.4 40.2Ghana TF 429 931 825 897 .. 8.7 .. TF -4.4 -2.9 14.1 22.5Guinea TF 45 12 33 35 .. 6.1 .. TF 61.2 203.6 27.2 -47.4Guinea-Bissau TF 5 22 36 44 .. 21.3 .. TF 8.8 17.7 39.1 26.4Kenya TF 1,399 1,470 1,261 1,114 .. -11.7 .. VF(1) 16.8 16.5 9.6 25.8 13.7 -0.3 12.8 31.8 -30.8 -1.1 -13.4 0.2Lesotho TF .. 414 .. .. .. .. .. VF -2.8 1.0 4.3 -0.9Madagascar TF 277 196 222 244 293 9.9 20.0 TF 20.0 8.3 -13.0 1.4 73.8 75.7 91.3 56.1 3.3 12.8 7.6 15.6Malawi TF 438 746 819 805 .. -1.7 .. TF 15.4 -6.0 -9.4 -13.5Mali TF 143 169 168 159 .. -5.4 .. TF -3.3 6.2 -6.0 23.0Mauritius TF 761 935 1,039 1,151 1,275 10.8 10.8 TF 10.8 12.6 6.5 9.2 13.3 19.6 9.0 11.6 10.5 6.7 14.7 11.0Mozambique TF 578 1,718 1,661 1,552 .. -6.6 .. THSNamibia TF 778 984 1,320 1,388 .. 5.1 .. TF 3.5 1.4 7.5 7.1Niger TF 58 74 135 135 .. -0.1 .. TF -0.1 -0.1 -0.1 -0.1Nigeria TF 1,010 1,555 .. 1,255 .. .. .. TFReunion TF 409 421 406 426 458 5.1 7.5 TF 7.5 -21.4 11.3 46.8 5.4 10.0 10.0 0.9 0.9Rwanda TF .. 504 926 987 .. 6.6 .. VF -2.7 14.6 7.0 7.5São Tomé & Príncipe TF 16 8 .. .. .. .. .. TFSenegal TF 769 900 963 1,007 .. 4.5 .. TF*Seychelles TF 129 175 233 276 303 18.7 9.8 TF 9.8 11.1 6.5 7.0 13.9 15.4 18.7 8.4 14.7 16.3 27.7 16.5Sierra Leone TF 40 39 44 24 .. -45.6 .. TF 310 349 272 -79.4 -74.6 13.6 98.3South Africa TF 7,369 8,074 9,549 8,904 10,044 -6.8 12.8 TF 12.8 18.7 11.6 12.3 8.7 13.7 4.5 8.1 -5.9 -9.5 -5.4 -6.4Swaziland TF 837 868 939 873 .. -7.0 .. VF 1.8 -2.9 -1.0 4.2 6.5 6.6 -2.0 13.9 -2.2 -8.9 -3.8 -5.9Tanzania TF 590 754 1,113 1,104 .. -0.8 .. VF 15.6 7.1 1.4 10.1 41.0 48.1 38.1 38.1 -13.0 -4.7 6.4 10.5Togo THS 81 202 282 273 .. -3.2 .. THSUganda TF 468 946 1,266 1,303 .. 2.9 .. TF 6.8 3.0 -0.4 2.7Zambia TF 669 815 947 932 .. -1.6 .. TF -3.9 -3.1 2.7 -2.5Zimbabwe VF 1,559 2,239 1,880 2,057 .. 9.4 .. VF -3.0 16.3 -16.8 1.0 15.1 17.8 3.3

Source: World Tourism Organization (UNWTO) © (Data as collected by UNWTO March 2017)See box at page 'Annex-1' for explanation of abbreviations and signs used (1) Visitor arrivals in the International Airports of Jomo Kenyatta (Nairobi) and Moi (Mombasa), as well as by cruise ships


Annex–23



2005 2010 2014 2015 2016* 14/13 15/14 2016* 2015*

(million) Series (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Africa 22,285 31,193 36,524 32,783 0

North Africa 7,037 9,662 10,964 8,900 0Algeria 184 220 258 308 .. $ 3.3 19.2Morocco 4,621 6,703 7,379 6,263 6,448 7.7 -1.4 3.4 5.9 2.6 8.2 -6.0 -16.3 6.6 -4.1 -2.1 -3.5 12.6 0.4Sudan 89 94 967 949 1,009 $ 25.1 -1.9 6.3 7.1 5.9 2.4 9.8 10.3 -10.8 7.9 -10.9Tunisia 2,143 2,645 2,359 1,381 1,239 12.5 -32.4 -1.8 -49.5 -23.3 44.1 18.7 -4.7 -21.5 -43.2 -46.8

Subsaharan Africa 15,248 21,530 25,560 23,883 0 Angola 88 719 1,589 1,163 .. $ 28.8 -26.8Benin 103 149 151 141 .. -20.0 11.5Botswana 561 779 977 948 .. 17.9 9.5Burkina Faso 45 72 135 109 .. -11.8 -3.0Burundi 1 2 4 2 .. 78.8 -46.3Cameroon 175 159 595 450 .. $ 3.4 -24.4Cabo Verde 123 278 405 351 368 -12.4 3.8 5.1 6.7 6.5 -6.1 13.7 3.2 -11.1 34.8 -4.6Centr. African Rep. 5 11 .. .. .. .. ..Comoros 24 35 51 .. .. 5.2 ..Congo 40 63 .. .. .. .. ..Côte d'Ivoire 83 201 184 158 .. 1.8 2.3Dem. Rep. Congo 3 11 45 0.1 .. $ 440 -99.8Djibouti 7 18 25 31 .. 14.4 25.0Ethiopia 168 522 351 395 280 $ -43.4 12.4 -29.0 -71.6 -8.8 1.3 -29.2 180.8 -10.5 -16.7 3.7Gambia 58 74 107 120 .. $ 48.6 12Ghana 836 620 897 819 .. $ 5.1 -8.7 46.7 10.0 -30.0 -30.0Guinea .. 2 .. .. .. .. ..Guinea-Bissau 2 13 21 17 .. 19.6 -0.6Kenya 579 800 811 723 943 $ -7.9 -10.8 30.3 -2.2 2.2 61.1 62.1 -2.6 -10.9 -15.5 -13.4Lesotho 27 23 16 34 .. $ -6.0 111 -27.1 4.8 -38.4 -41.2 -15.3 0.2 26.6 493.7Liberia 67 12 55 46 .. $ .. -17 27.2 27.2 -49.4 -45.0 174.0 35.3Madagascar 183 307 .. .. .. .. .. -9 -3.5 9.2 2.7 -2.1 0.9Malawi 29 31 31 37 .. 29.2 17.1Mali 148 205 212 186 .. 18.8 4.9Mauritania .. .. 37 29 .. $ -10.4 -20.7 -11.6 -37.7 -25.8 7.9Mauritius 871 1,282 1,447 1,432 1,572 9.2 13.3 11.3 13.9 10.1 10.0 10.9 10.9 9.7 11.9 14.4 0.1 13.2 24.4Mozambique 130 108 207 193 108 $ 4.0 -6.7 -44.1 -15.0 -29.5 -60.6 -55.3 -9.1 -24.4 19.8 -12.4Namibia 348 438 413 375 295 13.7 6.8 -9.6 -11.5 -9.9 -8.6 -8.2 32.2 10.2 6.0 -13.5Niger 43 105 90 74 .. 55.0 -1.4Nigeria 54 576 543 404 1,070 $ 0.1 -25.6 165.0 241.0 230.2 74.8 112.6 -31.7 -21.2 -27.3 -22.1Reunion 384 392 387 339 .. € -4.0 4.9Rwanda 49 202 304 318 .. $ 3.4 4.6São Tomé & Príncipe 7 11 56 62 69 $ 83.0 11 10.7 25.0 29.9 11.7 -9.9 0.0 -11.3 14.6 37.0Senegal 248 453 423 .. .. -3.5 ..Seychelles 192 343 398 392 414 $ -7.5 -1.4 5.4 45.5 -12.4 -6.8 -3.1 -17.8 -4.3 10.9 10.0Sierra Leone 64 26 35 23 .. $ -47.4 -33.6South Africa 7,508 9,070 9,348 8,235 7,910 sa 13.7 3.6 10.7 14.5 13.6 8.3 6.9 10.6 0.5 -0.4 4.2Swaziland 77 51 15 14 .. $ 10.7 -5.3 40.4 -15.7 -3.8 -22.6Tanzania 824 1,255 2,010 2,010 2,231 $ 6.9 0.0 5.3 -6.8 -1.3 32.0 -6.1 25.7 0.0 0.0 0.0Togo 20 66 125 114 .. -0.1 8.6Uganda 380 784 791 1,171 772 $ -40.7 48.0 -34.0 -43.0 -45.9 -23.9 -24.4 80.3 118.5 24.4 14.6Zambia 447 492 642 660 .. $ 16.3 2.9 3.4 3.4 3.4 1.5Zimbabwe 99 634 827 886 .. $ -3.4 7.1



Annex–24


Series 2005 2010 2014 2015 2016* 15/14 16*/15 Series 2016* 2015*

(1000) (%) (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Middle East 33,660 55,442 55,424 55,871 53,623 0.8 -4.0 -4.1 -1.2 -9.7 -8.4 3.6 -7.6 8.8 9.1 10.0 -4.7 7.7 -6.6

Bahrain THS 1,237 995 838 1,200 .. 43.2 .. THS 46.4 24.4 65.9 40.5Egypt TF 8,244 14,051 9,628 9,139 .. -5.1 .. VF -42.1 -46.5 -55.1 -42.7 -18.4 -44 -11 25.4 6.9 9.3 -5.0 -28.9Iraq VF .. 1,518 .. .. .. .. .. VFJordan TF 2,987 4,207 3,990 3,761 .. -5.7 .. TF 1.7 -1.4 -0.7 5.8 -9.5 -17.0 10.6 -7.2Kuwait THS 104 207 198 182 .. -8.1 .. THS -35.3 4.4 20.6 0.9Lebanon TF 1,140 2,168 1,355 1,518 1,688 12.1 11.2 TF 11.2 8.6 7.1 13.6 14.7 8.7 21.8 14.5 23.1 9.3 17.8 0.0Oman TF 891 1,441 1,611 1,897 .. 17.8 .. VF 10.8 9.7 -7.4 26.7 5.8 -11 21.0 9.5 13.8 -2.7 51.3 8.1Palestine THS 88 522 556 432 400 -22.3 -7.4 THS -7.4 -21.3 -20.2 -5.3 17.2 2.1 31.5 26.0 -34.6 -33.7 18.7 -21.0Qatar TF 913 1,700 2,826 2,930 2,906 3.7 -0.8 TF -0.8 -2.2 -9.9 2.7 6.4 -5.9 21.6 4.5 10.8 3.4 8.6 -7.9Saudi Arabia TF 8,037 10,850 18,260 17,994 18,049 -1.5 0.3 TF 0.3 8.5 6.5 -15.8 0.2 0.2 0.2 0.2 13.4 -15.3 0.8 -3.8Syria TF 3,571 8,546 .. .. .. .. .. VFUtd Arab Emirates (1) THS 5,833 7,432 13,200 14,200 14,900 7.6 4.9 THS 4.9 5.1 -5.4 6.1 13.0 6.8 17.5 14.7 10.8 2.1 16.8 2.2Yemen TF 336 1,025 1,018 367 .. -64.0 .. TF




2005 2010 2014 2015 2016* 14/13 15/14 2016* 2015*

(million) Series (%) YTD Q1 Q2 Q3 Q4 Oct Nov Dec Q1 Q2 Q3 Q4 Middle East 26,599 52,150 53,727 58,372 0

Bahrain 920 1,362 1,197 .. .. 2.7 ..Egypt 6,851 12,528 7,208 6,065 2,645 $ 19.2 -15.9 -56.4 -62.2 -73.1 -56.1 -15.8 -7.3 17.1 -17.5 -48.9Iraq 168 1,660 2,489 4,060 .. $ 14.4 63.1 0.7 1.8 128.4 120.2Jordan 1,441 3,585 4,375 4,065 4,044 6.3 -7.1 -0.5 -4.3 -2.9 2.5 1.6 -11.9 -18.9 9.7 -6.9Kuwait 164 290 369 499 599 24.4 42.9 20.7 38.9 20.7 18.8 7.0 44.0 38.5 45.8 43.3Lebanon 5,532 7,995 6,523 6,857 .. $ 0.5 5.1 1.1 -0.1 2.1 4.1 -3.0 11.2 7.6Libya 250 60 .. .. .. .. ..Oman 429 780 1,376 1,540 .. 6.2 11.9Palestine 119 667 603 452 .. $ -23.6 -25.0Qatar 760 584 4,591 5,035 5,411 32.8 9.7 7.5 1.2 10.7 -3.5 23.3 2.3 11.4 19.6 6.2Saudi Arabia 4,622 6,712 8,238 10,130 11,096 7.7 23.0 9.5 9.6 27.1 -4.2 16.4 15.1 11.6 190.3 -39.0Syria 1,944 6,190 .. .. .. .. ..Utd Arab Emirates 3,218 8,577 15,221 17,481 19,496 22.9 14.8Yemen 181 1,161 1,026 100 .. $ 9.2 -90.3 -61.0



Annex–25

UNWTO Panel of Tourism Experts The UNWTO Tourism Confidence Index The UNWTO Tourism Confidence Index is based on the results of an email survey conducted by the UNWTO Secretariat among selected representatives of public and private sector organisations participating in the UNWTO Panel of Tourism Experts. The survey has been repeated every four months since May 2003 in order to keep track of actual performance, as well as perceived short-term prospects, of the tourism sector. This allows performance and prospects to be compared over time, as well as providing a comparison of the actual performance of the past four months with prospects forecast for the same period four months earlier. Results are also broken down by region and by sector of activity. These breakdowns should, however, be interpreted with caution as they may in some cases be based only on a relatively small number of responses. The UNWTO Secretariat’s aim is to continuously expand and improve the Panel sample. Experts interested in participating in the survey, in particular from countries still not included in the listing below, are kindly invited to send an email to [email protected]. How to read this data For the UNWTO Tourism Confidence Index members of the UNWTO Panel of Tourism Experts are asked once every four months by email to answer the following two simple questions: - What is your assessment of tourism performance in your destination or business for the four months just ended (or about to end) as against what you would reasonably expect for this time of year? - What are the tourism prospects of your destination or business in the coming four months compared with what you would reasonably expect for this time of year? Participants should select one of the following five options: much worse [0]; worse [50], equal [100]; better [150], much better [200]. Results are averaged and broken down by region and by activity. A value above 100 means that the number of participants who evaluate the situation as “better” or “much better”, outnumber the participants who reply “worse” or “much worse”. In addition, participants are also invited to include a qualitative assessment in their own words. The analysis contained in the UNWTO World Tourism Barometer is in large part based on their comments. For this edition responses have been received from experts based in Algeria, Andorra, Anguilla, Argentina, Australia, Austria, Azerbaijan, Bangladesh, Belgium, Benin, Bhutan, Brazil, Cambodia, Canada, Chile, China, Colombia, Costa Rica, Côte d'Ivoire, Croatia, Cuba, Cyprus, Denmark, Dominican Republic, Ecuador, Egypt, El Salvador, Estonia, Finland, France, Germany, Greece, Guatemala, Honduras, Hong Kong (China), Hungary, Iceland, India, Iran, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Latvia, Lithuania, Macao (China), Malaysia, Malta, Mauritius, Mexico, Monaco, Mozambique, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Panama, Peru, Philippines, Poland, Portugal, Qatar, Republic of Korea, Russian Federation, San Marino, Saudi Arabia, Senegal, Serbia, Singapore, Slovenia, Spain, Sweden, Switzerland, Taiwan (pr. of China), Thailand, Togo, Tunisia, Turkey, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan and Zimbabwe.

UNWTO Panel of Tourism Experts: World

Better

Equal

Worse


150

144

140

137

132

71

131 13

9

122 125 13

8

133

131

133

119

144

140

136 14

3

98

72

140

127

121 12

9 136

134

129

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17

Prospects (before)Evaluation (after)

UNWTO Panel of Tourism Experts: Advanced economies

Better

Equal

Worse


146

135

134

127

121

60

123 13

5

110 115 13

4

129

127 131

97

135

136

136

138

87

57

140

127

112

135 14

2

142

135

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Emerging economies

Better

Equal

Worse


154

154

148

149

146

83

140 143

137

138 143

137

136

136139 15

5

146

135

110

89

140

127 13

3

122 12

8

123

122

149

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Public

Better

Equal

Worse


153

146

144

138

136

80

134 14

3

126

128 13

9

137

137

139

126

147

142

137 139

99

75

147

133

126 13

4 143

142

136

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Private

Better

Equal

Worse


146

141

136

136

130

65

129 13

6

120 123 13

7

130

127

129

110

142

139

135 14

6

98

70

134

122

118 12

6 131

129

125

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17




Annex–26

UNWTO Panel of Tourism Experts: Europe

Better

Equal

Worse


143

134 137

131

126

66

118 13

2

110 113 13

1

124 127 131

109 12

6 137

139 142

92

59

131

132

102

130 14

0 144

134

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Asia and the Pacific

Better

Equal

Worse


155 158

145

131

133

76

146 150

127

128 14

6

137

137

135

117

167

136 141

140

86 95

161

119

144

138

132 136

134

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Americas

Better

Equal

Worse


160

151

141

141

139

75

139 143

140

138 142

142

141

137

137

157

145

124 14

0

102

74

135

136

133

129 13

8

130 134

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Africa

Better

Equal

Worse


142

144 16

0

160

143

100

143

137 140

138

138 14

7

131 14

1

125 14

4 165

145 15

7

118

116 13

3

117 13

0

120

121

112

113

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Middle East

Better

Equal

Worse


141 145

144 16

4

150

62

137

135

125 14

2 153

143

117

137

136 15

5

128

123

167

146

90

171

83

135

103 11

1

88

97

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Global Operators

Better

Equal

Worse


154

141

125 128

106

33

134 14

3

106 11

7

140

125

109

107

85

150

143 15

0

128

78

45

145

108

130 13

7

134

119

114

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Destinations

Better

Equal

Worse


154

147

143

140

137

82

132 14

4

128

127 14

0

139

140 145

123

148

142

138 14

3

100

73

150

136

125 13

3 143

142

141

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Transport

Better

Equal

Worse


146 15

3

130

159

141

50

118 13

5

123 13

0

125 13

5

164

123

123

147 150 16

4

150

104

39

140

119 13

0

105

146

136

105

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Accommodation & Catering

Better

Equal

Worse


153

145

126 13

9

120

66

129 133

114

112

135

133

133

133

126 14

5

105

127 131

86

62

130

118

98

125

148

140

127

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Tour Operators & Travel Agencies

Better

Equal

Worse


140

136

130 14

4

141

76

128 14

6

123

115

138

133

116 13

5

110

136 15

3

132 14

6

108

79

126

111

112 11

8

110

93

113

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17



Annex–27

UNWTO Panel of Tourism Experts: General Industry Bodies & Other

Better

Equal

Worse


154

141

137

135

136

57

135 14

1

129 13

7

137

125

126

118

83

133

126 14

2 155

107

78

136

132

128

126 13

8

126

121

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: Consultancy, Research & Media

Better

Equal

Worse


141

134 14

6

128

125

66

132

133

118 12

6 138

129

125 129

118

143 15

0

132 14

1

93

73

138

124

124 13

2

131 13

7

130

25

50

75

100

125

150

175

'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17


UNWTO Panel of Tourism Experts: World

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Advanced economies

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Emerging economies

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Public

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Private

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Europe

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Asia and the Pacific

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Americas

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)


Annex–28

UNWTO Panel of Tourism Experts: Africa

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Middle East

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Global Operators

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Destinations

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Transport

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Accommodation & Catering

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Tour Operators & Travel Agencies

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: General Industry Bodies & Other

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

t3 t1 t2'17

t3

Prospects (before)

Evaluation (after)

UNWTO Panel of Tourism Experts: Consultancy, Research & Media

Better

Equal

Worse


25

50

75

100

125

150

175

t1 t2'03

t3 t1 t2'04

t3 t1 t2'05

t3 t1 t2'06

t3 t1 t2'07

t3 t1 t2'08

t3 t1 t2'09

t3 t1 t2'10

t3 t1 t2'11

t3 t1 t2'12

t3 t1 t2'13

t3 t1 t2'14

t3 t1 t2'15

t3 t1 t2'16

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t3

Prospects (before)

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Annex–29

Hospitality The global hospitality industry in 2016 Hotel performance by region

Room supply Occupancy Average Room Rate (ADR) RevPARChange Full year Change Full year Change 2016*/'15 Full year Change 2016*/'15

2016*/'15 2015 2016* 2016*/'15 2016* Current¹ Constant¹ 2016* Current¹ Constant¹(%) (%) (%p) US$ (%) (%) US$ (%) (%)

Americas 1.7 65.1 65.1 0.0 124 2.8 3.3 81 2.8 3.3North America 1.6 65.3 65.4 0.1 123 3.0 3.3 81 3.1 3.5Caribbean 1.3 68.3 66.7 -1.6 201 -0.3 0.3 134 -2.6 -2.0Central America 0.4 58.0 59.8 1.8 111 -1.7 -0.8 66 1.3 2.2South America 3.2 58.1 55.0 -3.1 98 -0.5 11.2 54 -5.8 5.3

Asia and the Pacific 3.4 68.0 69.0 1.0 103 -2.6 -0.9 71 -1.0 0.6North-East Asia 3.6 67.6 68.7 1.1 93 -2.7 -0.9 64 -1.2 0.6South-East Asia 3.5 67.2 68.5 1.3 112 -3.9 -2.3 77 -2.1 -0.5Australia & Oceania 1.6 74.9 75.7 0.8 140 2.1 2.5 106 3.2 3.5Central & South Asia 3.2 61.9 63.6 1.7 108 -5.5 -2.3 69 -2.9 0.4

Africa & Middle East 2.2 63.2 61.6 -1.6 148 -4.8 -2.2 91 -7.3 -4.7North Africa (incl. Egypt) 0.4 52.9 47.6 -5.3 93 2.1 18.4 44 -8.1 6.6Southern Africa 1.8 60.7 60.9 0.2 112 -2.4 6.3 68 -2.1 6.6Middle East 4.3 67.7 66.2 -1.5 175 -7.2 -7.2 116 -9.3 -9.3

Europe 0.6 70.0 70.4 0.4 121 -3.1 1.5 85 -2.6 2.1Northern Europe 1.3 75.7 76.2 0.5 120 -7.9 2.9 92 -7.3 3.6Western Europe 0.6 69.0 68.7 -0.3 130 0.0 0.2 89 -0.4 -0.2Eastern Europe 1.1 60.4 63.8 3.4 79 0.9 6.8 50 6.5 12.7Southern Europe 0.1 67.3 67.3 0.0 128 0.6 1.0 86 0.6 1.0

Source: STR © 2017 all rights reserved; (%p: percentage points) = up = down¹ change both in constant prices (i.e. in local currencies) and current US$ prices (also reflecting exchange rate fluctuations)


Annex–30

Hotel performance, selected citiesOccupancy (%)

Change(Full year) 2015 2016* (%p)

Europe 70.0 70.4 0.4Northern Europe 75.7 76.2 0.5Denmark Copenhagen 76.7 77.6 0.9Finland Helsinki 67.6 68.8 1.2Ireland Dublin 82.1 82.5 0.4United Kingdom London 82.1 81.3 -0.8

Glasgow 80.9 79.6 -1.3Western Europe 69.0 68.7 -0.3Austria Vienna 73.0 74.8 1.8Belgium Brussels 70.0 58.3 -11.7France Paris 76.9 69.6 -7.3Germany Berlin 76.5 77.2 0.7

Frankfurt 69.7 69.7 0.0Luxembourg Luxembourg 76.0 76.6 0.6Netherlands Amsterdam 78.1 78.1 0.0Switzerland Geneva 67.6 67.3 -0.3

Zurich 73.4 73.4 0.0Eastern Europe 60.4 63.8 3.4Czech Rep Prague 75.2 77.0 1.8Hungary Budapest 73.3 75.3 2.0Poland Warsaw 74.5 76.5 2.0Russian Federation Moscow 60.6 66.5 5.9Slovakia Bratislava 60.7 66.9 6.2Southern Europe 67.3 67.3 0.0Greece Athens 69.0 70.5 1.5Israel Tel Aviv 68.0 70.6 2.6Italy Milan 69.3 65.4 -3.9

Rome 68.9 69.4 0.5Portugal Lisbon 73.8 74.3 0.5Spain Barcelona 75.4 76.6 1.2

Madrid 68.5 70.0 1.5Turkey Istanbul 64.8 49.7 -15.1 Source: STR © 2017 all rights reserved = up = down



Americas 65.1 65.1 0.0North America 65.3 65.4 0.1Canada Montreal 70.0 71.7 1.7

Toronto 71.8 75.4 3.6Vancouver 74.8 77.4 2.6

Mexico Cancun 72.8 71.1 -1.7Mexico City 66.7 69.4 2.7

United States Phoenix, AZ 65.7 67.2 1.5Anaheim, CA 78.6 78.2 -0.4Los Angeles, CA 79.5 81.3 1.8San Diego, CA 76.3 77.1 0.8San Francisco, CA 84.4 84.3 -0.1Denver, CO 75.6 73.6 -2.0Washington, DC 70.6 72.1 1.5Miami, FL 78.0 75.8 -2.2Orlando, FL 76.7 75.5 -1.2Tampa/St Petersburg, FL 71.3 71.7 0.4Atlanta, GA 69.8 69.9 0.1Oahu Island, HI 85.1 84.2 -0.9Chicago, IL 70.0 69.1 -0.9New Orleans, LA 69.6 68.7 -0.9Boston, MA 76.4 74.2 -2.2Detroit, MI 65.5 65.7 0.2Minneapolis/St Paul, MN-W 68.3 68.1 -0.2St Louis 65.4 65.9 0.5New York, NY 85.3 85.9 0.6Philadelphia, PA-NJ 68.2 69.3 1.1Nashville, TN 73.4 74.8 1.4Dallas, TX 70.5 71.4 0.9Houston, TX 68.5 62.3 -6.2Norfolk/Virginia Beach, VA 57.1 59.9 2.8Seattle, WA 76.2 75.8 -0.4

Central America 58.0 59.8 1.8Costa Rica San Jose 63.8 67.9 4.1Panama Panama City 50.4 51.3 0.9South America 58.1 55.0 -3.1Argentina Buenos Aires 61.7 61.8 0.1Brazil Rio de Janeiro 60.4 52.6 -7.8

Sao Paulo 60.4 58.2 -2.2Chile Santiago 67.3 65.6 -1.7Colombia Bogotá 53.5 56.8 3.3Peru Lima 70.1 67.8 -2.3 Source: STR © 2017 all rights reserved = up = down

© 2017 STR. All rights reservedData for North America sourced STR


Annex–31



Asia and the Pacific 68.0 69.0 1.0North-East Asia 67.6 68.7 1.1China Beijing 71.3 73.6 2.3

Chengdu 64.9 67.3 2.4Guangzhou 70.4 72.3 1.9Sanya, Hainan 57.5 60.8 3.3Shanghai 73.6 75.4 1.8

Hong Kong (China) Hong Kong 85.4 85.9 0.5Japan Osaka 90.7 89.9 -0.8

Tokyo 86.5 85.4 -1.1Korea, Republic of Seoul 68.7 74.9 6.2Taiwan (pr. of China) Taipei 69.0 66.2 -2.8South-East Asia 67.2 68.5 1.3Indonesia Bali 60.1 66.1 6.0

Jakarta 59.6 58.1 -1.5Malaysia Kuala Lumpur 65.7 66.4 0.7Philippines Manila 67.0 66.8 -0.2Singapore Singapore 82.5 80.9 -1.6Thailand Bangkok 75.5 77.4 1.9

Phuket 71.8 76.3 4.5Vietnam Hanoi 76.2 79.2 3.0Australia & Oceania 74.9 75.7 0.8Australia Sydney 85.1 85.0 -0.1New Zealand Auckland 82.1 84.1 2.0Central & South Asia 61.9 63.6 1.7India Bangalore 65.0 65.0 0.0

Delhi 65.7 67.2 1.5Mumbai 73.3 73.5 0.2

Source: STR © 2017 all rights reserved = up = down



Africa & Middle East 63.2 61.6 -1.6Middle East 67.7 66.2 -1.5Jordan Amman 54.6 51.7 -2.9Kuwait Kuwait 51.5 50.2 -1.3Lebanon Beirut 51.7 51.4 -0.3Oman Muscat 62.7 57.0 -5.7Qatar Doha 69.8 59.1 -10.7Saudi Arabia Riyadh 60.1 53.9 -6.2Untd Arab Emirates Abu Dhabi 74.4 71.4 -3.0

Dubai 76.8 77.1 0.3North Africa (incl. Egypt) 52.9 47.6 -5.3Egypt Cairo 53.2 59.3 6.1

Sharm El-Sheikh 58.7 33.7 -25.0Southern Africa 60.7 60.9 0.2Kenya Nairobi 53.1 52.6 -0.5South Africa Cape Town 65.0 70.0 5.0

Johannesburg 59.5 59.6 0.1 Source: STR © 2017 all rights reserved = up = down

Hospitality industry data The hotel data presented in this section has kindly been provided by STR.

STR tracks hotel performance data from over 56,000 hotels worldwide which represent all segments of the mainly branded hotel supply. Hotel performance results for the majority of capital and gateway cities around the world is also available.

Occupancy = rooms sold / rooms available, i.e. the percentage of available rooms that were sold during a specified period of time. Occupancy is calculated by dividing the number of rooms sold by the number of rooms available. Occupancy takes account of growth in both demand and supply. If demand grows, but is outstripped by growth in supply, occupancy will decrease.

ADR (Average Daily Rate) = room revenue / rooms sold, i.e. a measure of the average rate paid for rooms sold, is calculated by dividing room revenue by rooms sold.

RevPAR (Revenue per available room) = room revenue / rooms available (or = occupancy x ADR), i.e. the total guest room revenue divided by the total number of available rooms. RevPAR differs from ADR in that RevPAR is affected by the share of unoccupied available rooms, while ADR shows only the average rate of rooms actually sold.

For further information on methodology, see: www.strglobal.com/resources/glossary

For further information on STR please visit: www.strglobal.com.

For STR Data News see also: www.hotelnewsnow.com/data-dashboard

http://www.strglobal.com/resources/glossary

http://www.strglobal.com/

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