2016 market surver of overseas travel...2016/07/19 · ab-road overseas travel survey 2016 4 index...

2016 Market Survey Of Overseas Travel

AB-ROAD Overseas Travel Survey 20163

Index

Prologue: Outline of the Report 51) Outline of the Survey 6

2) Profile of the Respondents 7

Reference: Overseas Travel in 2015 111) Outline of the Survey 12

2) Overseas Travel in 2015 13

Part 1: Trends in Overseas Travel Booking in 2015

Chapter 1: Outline of Overseas Travel in 2015 151. Number of Overseas Trips in 2015 16

2. Destinations in 2015 17

【Reference】 Overseas destinations ever visited 20

3. Trigger for Overseas Travel in 2015 21

4. Style of Travel 22

5. Number of Accompanying Travelers 23

6. Travel Expenses 24

7. Number of Days Traveled 28

8. Purpose of Travel 299. Actions at Destination

1) Total 312) What was Included in Package Tours 323) What was Booked Prior to Departure 334) What was Booked at Destinations 34

10. Amount of Money Used at Destinations

1) Total 352) Shopping Costs 363) Meal Costs 374) Sightseeing and Activity Costs 38

11. Use of Airlines 39

Chapter 2: Actions Taken for Prior Consideration of Travel 411. Destinations Considered / Destinations Decided on 42

2. Reason for Deciding on Destinations 45

3. Degree of Involvement in Consideration Process 46

4. Timing of Travel Consideration and Booking 47

5. Sources of Information Used to Compare for Consideration 50

Chapter 3: Process of Package Tour Selection 511. Use of Package Tours 52

2. Reasons for Selection of Package Tour 53

3. Source of Information from Which Package Tour was Found 54

4. Points Considered Important When Selecting Package 55

5. Means of Inquiring to Travel Agencies and Airlines 56

6. Means of Booking with Travel Agencies and Airlines 57

Chapter 4: Process of Arranged Travel Selection 591. Matters Arranged Prior to Departure 60

2. Sources of Information Used to Find Air Tickets 61

3. Means of Arranging Air Tickets 62

4. Key Factors When Choosing Airlines 63


Index

Part 2: Satisfaction with Travel Destinations 651. Satisfaction with Travel Destinations

1) Overall 66

2) Sightseeing / Viewing 67

3) Sports / Hands-on Activities 68

4) Meals 69

5) Shopping 70

6) Relaxation / Beauty Treatments and Massages 71

7) Local Hospitality 72

8) Safety / Hygiene 73

9) Nightlife 74

Part 3: Future Overseas Travel 751. Countries / Areas Wish to Travel to Overseas in Future 76

2. Countries / Areas Wish to Travel to Overseas in 2016 78

Part 4: First Ever Overseas Trip 791. Destination of first ever trip abroad 80

2. First ever trip abroad: Timing of trip 82

3. Trigger for first ever trip abroad 83

4. Style of first ever trip abroad 85

5. Source of information for first ever trip abroad 86

5

Prologue

Outline of the Report

6

●Purpose

To determine details regarding booking, expenses, and degree of satisfaction among those who traveled overseas in

2015.

●Respondents

Those who traveled overseas in 2015 (whose month of departure was in 2015) were selected from INTAGE’s Intage

Net Panel (the three regions of Kanto, Kansai, and Tokai).

●Period

Mar 22 (The.) through Mar 30 (Wed.), 2016

●Method

Internet survey

●Sample Size

4,802 respondents (7,883 approached, 4,934 collected from for a collection rate of 62.6%)

●Tabulation Method

The survey results were subjected to tabulation (weight-back tabulation) by converting to the sex and age

composition of leisure travelers. The three areas covered were Kanto (Tokyo, Kanagawa, Chiba, Saitama, Gunma,

Tochigi, Ibaragi prefectures), Kansai (Osaka, Kyoto, Hyogo, Nara, Shiga, Wakayama prefectures), and Tokai

(Gifu, Shizuoka, Aichi, Mie prefectures).

Weighting

●Analysis Axis

The "number of trips taken" categories of "light," "middle," and "heavy" are defined as follows.

Light: Those who have thus far traveled overseas 1-3 times

Middle: Those who have thus far traveled overseas 4-9 times

Heavy: Those who have thus far traveled overseas 10 times or more

The classifications of "long distance," "medium distance," and "short distance" used for "Distance of the last destination"

were based on the following definition.

Long distance: Those whose last travel destination in 2015 was the following countries/areasUK, France, Germany, Spain, Italy, other nations in west Europe, Greece, countries of eastern Europe,

countries of northern Europe, Turkey, Morocco, Egypt, Dubai, Kenya, other Middle East or Africa, USA east,

USA west, USA south, Canada, Alaska, Mexico, Jamaica, Caribbean islands, other Central/South America, Tahiti,

other Islands in South Pacific of Indian Ocean

Medium distance: Those whose last travel destination in 2015 was the following countries/areasHawaii (Oahu), Hawaii (other than Oahu), Palau, other Micronesia, Fiji, New Caledonia, Maldives, Singapore, Phuket,

Thai beaches (other than Phuket), Thailand (other than beach resorts), Bali, Indonesian beaches (other than Bali),

Indonesia (other than beach resorts), Malaysian beaches, Malaysia (other than beach resorts),

Vietnam cities (Ho Chi Minh, Hanoi), Vietnam beaches, Vietnam (other than cities and beach resorts), Cambodia,

India, Sri Lanka, other places in Asia, Australia, New Zealand, other places in Oceania

Short distance: Those whose last travel destination in 2015 was the following countries/areas Guam, Saipan, Shanghai, Beijing, Hong Kong, Macau, other places in China, Taiwan, Korea, Cebu Island,

Philippine beaches (other than Cebu Island), Philippines (other than beach resorts)

† Among the life stage categories in this report, "unmarried women in 20s and 30s" includes female teens.

●How the country names are indicated

The names of countries used in this report were asked about in the questionnaire as follows.

・Other countries in western Europe were asked about as "Countries in western Europe (Austria, Switzerland, Croatia, the

Netherlands, Belgium, Portugal, Vatican, Malta, Monaco, etc.)" In the last survey (implemented in 2014), they were asked about

as "Countries in western Europe (other than United Kingdom, France, Germany, Spain, Italy)."

・Countries of eastern Europe included in the rest of Europe were asked about as "Countries of eastern Europe (Czech Republic,

Poland, Hungary, Bulgaria, Romania, Russia, etc.)" In the last survey (implemented in 2014), they were asked about as

"Countries of eastern Europe (including Russia)."

・Countries of northern Europe included in the rest of Europe were asked about as "Countries of northern Europe (Finland, Norway,

Denmark, Sweden, Iceland)." In the last survey (implemented in 2014), they were asked about as "Countries of northern Europe."

Addenda:(1) Figures from past versions of this survey are quoted as time-series data.

2015 survey: Mar 23-26, 2015; tabulation sample size of 5,000

2014 survey: Mar 24-27, 2014; tabulation sample size of 4,936 ;

(2) For single answers, since figures for each option are rounded off to the second decimal place, the total of all

options may not add up to exactly 100%.

(3) Since figures are rounded off, figures of 0.04% or less (including 0%) are all indicated as "-".

(4) Because the tabulated results were based on weight-back tabulation, there are sample sizes (n) in this report

that do not match the tabulation sample sizes that were actually yielded by the survey.

1) Outline of the Survey

18－29yrs 30－39yrs 40－49yrs 50－59yrs 60yrs+

Male 0.7175579 1.0022098 1.2042349 0.9484497 1.2310514

Female 1.2349039 0.9952853 0.9173323 0.7756231 0.9790302


（％）

Officeworkers/

General(clerical)

Office

workers/General

(researchor

technical)

Officeworkers/

General(sales)

Officeworkers/

General(others)

Office

workers/Manager

class,company

directors

2016 survey total 4,802 19.2 8.3 5.2 5.8 9.0 4.9 5.1 2.2 9.9 4.0 15.7 9.4 1.1

2015 survey total 5,000 19.1 9.5 5.8 5.5 9.0 4.9 4.0 2.6 9.5 4.1 15.2 9.9 1.0

Self-employed

FreelancePart-timers

StudentsFull-time

housewivesUnemployed

Sample

Office workers

Civilservants /

Educators

Other

（％）

No children

Youngest

child 6 yrs

or younger

Youngest

child 7 yrs

or older

No children

Youngest

child 6 yrs

or younger

Youngest

child 7 yrs

or older

4,802 16.1 9.9 4.3 20.9 18.1 10.9 3.0 16.8

5,000 16.3 10.1 4.4 21.3 17.5 11.1 3.0 16.4

Male 2,457 31.4 19.3 8.4 40.9 - - - -

Female 2,345 - - - - 37.1 22.4 6.0 34.5

Male 18-29 yrs 341 71.8 22.5 5.5 0.2 - - - -

Male 30-39 yrs 475 45.6 24.9 21.9 7.6 - - - -

Male 40-49 yrs 580 35.7 23.0 12.2 29.0 - - - -

Male 50-59 yrs 465 16.3 21.0 2.2 60.4 - - - -

Male 60 yrs or older 596 4.8 7.9 0.2 87.2 - - - -

Female 18-29 yrs 573 - - - - 73.7 20.0 6.3 -

Female 30-39 yrs 483 - - - - 41.9 35.3 16.1 6.8

Female 40-49 yrs 434 - - - - 33.0 29.0 5.9 32.1

Female 50-59 yrs 378 - - - - 16.0 18.9 0.4 64.7

Female 60 yrs or older 478 - - - - 9.0 8.8 0.2 82.0

Sex & age

2016 survey total

2015 survey total

Unmarried

MaleSample

Sex

Married Male

Unmarried

Female

Married Female

（％）

KitaKanto

4prefectures

KeihanshinOtherKinki

2016 survey total 4,802 62.9 4.3 58.6 13.1 23.9 20.6 3.3

2015 survey total 5,000 61.6 3.9 57.7 13.2 25.2 21.7 3.5

Sample

TokaiKantoTotal

KansaiTotal

Sample

Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sept. Oct. Nov. Dec.

Year-end &

NewYear'stotal

GWtotal

Obontotal

SWtotal

2016 survey total 4,802 5.4 5.7 6.0 5.0 6.3 6.7 7.0 10.5 13.2 10.3 10.1 13.9 7.7 3.2 2.8 3.5

2015 survey total 5,000 4.7 5.2 6.0 5.0 6.1 6.1 8.1 11.4 11.2 11.0 10.6 14.6 8.3 2.8 2.9 *† "*":No applicable data

0

5

10

15

20

2016 survey total

2015 survey total

（％）

7

■Timing of departure of last overseas travel (Total/Single answer)

■Area of residence (Total/Single answer)

■Life stage (Total/Single answer)

■Age (Total/Single answer)■Sex (Total/Single answer)

■Occupation (Total/Single answer)

Male Female

●Legend

2016 survey total (n=4,802)


51.2％

52.0

48.8

48.0

20s and

under30s 40s 50s

60s and

over

●Legend

2016 survey total (n=4,802) 45.6

2015 survey total (n=5,000) 45.4

Average

(yrs)

19.0％

18.2

19.9

20.9

21.1

21.4

17.5

18.8

22.4

20.7

2) Profile of the Respondents (1)


Once 2-3 times 4-6 times 7-9 times10 times or

more

●Legend

2016 survey total (n=4,802) 16.1

2015 survey total (n=5,000) 15.9

Sex Male (n=2,457) 17.0

Female (n=2,345) 15.2

Sex & age Male 18-29 yrs (n=341) 5.8

Male 30-39 yrs (n=475) 11.0

Male 40-49 yrs (n=580) 18.6

Male 50-59 yrs (n=465) 22.7

Male 60 yrs or older (n=596) 22.0

Female 18-29 yrs (n=573) 7.9

Female 30-39 yrs (n=483) 12.6

Female 40-49 yrs (n=434) 19.2

Female 50-59 yrs (n=378) 20.0

Female 60 yrs or older (n=478) 19.4

Area of

residenceKanto (n=3,021) 16.9

Kansai (n=1,150) 14.6

Tokai (n=631) 15.4

Life

stageWorker (child 7 yrs and over) (n=1,813) 17.3

Worker (child 2-6 yrs) (n=231) 13.8

Worker (child 1 yr and under) (n=116) 11.1

Worker (married, no children) (n=995) 17.6

Worker (unmarried) (n=1,455) 15.7

Unmarried male (n=772) 15.8

Unmarried female 20s/30s (n=624) 9.4

Unmarried female 40s and over (n=247) 24.6

Student (n=192) 7.1

Number of

trips takenLight (n=786) 2.1

Middle (n=1,235) 6.0

Heavy (n=2,782) 24.6

Average

(times)

5.1％

5.0

6.6

3.6

21.3

10.5

4.1

1.6

1.2

9.3

3.5

0.4

2.1

1.2

5.0

4.9

6.5

1.9

6.5

13.1

6.7

6.3

10.4

5.5

0.4

12.4

31.5

―

―

11.2

11.8

11.8

10.6

26.7

15.8

11.2

5.1

5.8

22.8

10.9

5.5

6.6

3.5

10.1

14.1

11.4

7.1

12.6

17.8

11.4

13.4

15.6

18.7

3.4

26.9

68.5

―

―

16.3

15.3

16.0

16.6

25.3

23.2

13.9

12.4

9.9

28.0

17.9

9.9

11.5

11.7

15.8

17.5

16.8

13.5

19.3

22.7

15.0

18.7

19.0

24.6

7.1

24.6

―

63.5

―

9.4

9.9

8.0

10.9

8.2

8.6

7.7

8.0

7.6

12.3

13.4

8.9

9.7

9.4

9.0

9.8

10.6

9.6

8.8

5.1

8.5

10.2

8.9

12.5

8.1

9.8

―

36.5

―

57.9

58.0

57.6

58.3

18.5

41.8

63.1

72.9

75.4

27.6

54.2

75.3

70.2

74.2

60.2

53.7

54.8

67.9

52.9

41.3

58.4

51.4

46.0

38.7

81.1

26.3

―

―

100.0

8

■Number of overseas trips thus far (Total/Single answer)

2) Profile of the Respondents (2)


■Overseas destinations ever visited (Total/Multiple answers)

（％）

ＴＯＴＡＬ

Sample

Europe UK France Germany Spain Italy

Other

countries

in western

Europe

Other

places in

Europe

Middle

East

or Africa

Turkey

Other

Middle

East or

Africa

USA

(excluding

Hawaii and

Alaska)

USA east USA westUSA

south

Canada or

AlaskaCanada Alaska

ＴＯＴＡＬ2016 survey total 4,802 63.3 33.3 44.4 33.1 26.1 40.0 31.1 25.9 23.8 15.3 17.5 51.3 31.3 40.6 14.8 24.9 24.3 3.0

2015 survey total 5,000 64.1 33.0 45.2 31.3 24.6 40.3 30.0 24.9 22.2 14.2 16.4 50.3 30.6 40.7 14.5 24.8 24.1 2.5

男性 Male 2,457 58.9 31.3 40.5 32.8 25.1 35.6 29.3 24.0 21.9 13.9 16.2 51.2 32.3 41.3 16.1 24.0 23.4 3.4

女性 Female 2,345 68.0 35.4 48.4 33.3 27.1 44.6 33.0 27.8 25.8 16.8 18.9 51.4 30.2 39.8 13.4 25.8 25.2 2.6

男性　１８～２９歳Male 18-29 yrs 341 45 .9 18 .3 24 .4 15 .2 14 .7 19 .4 13 .7 9 .1 9 .3 4 .4 6 .7 28 .8 15 .8 18 .9 5 .1 10 .3 10 .1 1.1

男性　３０～３９歳Male 30-39 yrs 475 51 .9 25 .1 31 .9 25 .9 15 .2 26 .8 19 .8 18 .1 17 .5 8 .4 14.6 43 .5 27.8 32 .7 11.6 16 .7 16 .2 2.1

男性　４０～４９歳Male 40-49 yrs 580 53 .3 28 .2 35 .9 27 .8 20 .7 31 .1 26.6 21.8 20.1 11.2 15.6 52.9 31.5 42.1 16.4 21.2 20.7 2.5

男性　５０～５９歳Male 50-59 yrs 465 60.4 33.1 45.3 36.1 26.3 36.7 31.4 25.7 18 .4 10.8 15.1 60.4 37.6 51.6 21.4 28.4 26.9 4.1

男性　６０歳以上Male 60 yrs or older 596 76.2 45.5 57.4 50.8 42.1 55.6 46.7 38.0 37.0 28.5 24.6 61.2 41.9 52.1 21.7 37.2 36.6 6.2

女性　１８～２９歳Female 18-29 yrs 573 53 .9 21 .6 33 .0 19 .0 14 .2 28 .2 15 .9 12 .5 12 .9 7 .8 8 .4 38 .4 21 .3 24 .4 7 .5 12 .5 12 .5 0.4

女性　３０～３９歳Female 30-39 yrs 483 64.3 28.7 42.5 26 .0 20 .4 35.9 27.4 19 .2 22.5 13.0 15.3 44 .3 26.8 30 .9 9 .5 20.0 19.8 0.4

女性　４０～４９歳Female 40-49 yrs 434 68.5 41.0 50.7 32.8 25.8 46.3 34.5 30.4 27.3 15.4 22.4 59.6 36.4 49.7 17.8 29.2 28.5 2.7

女性　５０～５９歳Female 50-59 yrs 378 73.7 41.9 56.7 40.5 31.2 51.3 37.2 31.2 25.7 16.0 18.7 60.4 35.1 51.7 21.4 30.8 30.0 4.3

女性　６０歳以上Female 60 yrs or older 478 83.6 48.6 64.3 52.9 47.1 66.4 54.5 49.8 43.4 33.2 32.0 59.4 34.8 49.0 13.9 40.4 39.1 6.1

関東 Kanto 3,021 64.5 35.7 46.1 34.4 27.6 41.1 33.0 27.5 24.7 16.3 17.6 54.0 33.9 42.8 16.4 25.5 24.9 3.0

関西 Kansai 1,150 61.1 29.3 40.8 30.4 22.0 37.8 26.9 23.4 22.0 14.1 16.5 46.9 28.3 36.8 12.2 25.1 24.3 3.5

東海 Tokai 631 62.0 29.3 42.7 31.7 25.9 39.0 29.4 22.5 22.5 12.4 19.1 46 .1 24 .3 36.7 11.6 21.7 21.4 2.4

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,813 69.3 38.7 50.8 40.9 32.1 48.1 38.0 31.3 28.1 19.9 19.8 57.4 35.4 47.8 18.3 30.6 29.7 3.9

社会人（子供２～６歳）Worker (child 2-6 yrs) 231 59.2 27 .6 41.4 29.7 24.4 37.6 22 .9 19 .0 19.3 9 .5 14.1 49.0 31.1 37.8 17.1 20.8 20.8 2.3

社会人（子供１歳以下）Worker (child 1 yr and under) 116 48 .4 21 .6 25 .7 20 .5 11 .7 25 .3 21 .8 11 .9 12 .6 6 .4 10 .9 33 .2 22 .5 28 .5 9 .3 17 .1 17 .1 4.0

社会人（既婚・子供無）Worker (married, no children) 995 63.2 31.5 46.1 29.8 26.1 40.8 30.5 25.7 23.0 13.5 17.8 51.1 30.7 41.1 15.4 24.8 24.0 3.4

社会人（独身） Worker (unmarried) 1,455 60.7 31.3 40.1 28.9 21.7 34 .4 27.1 23.4 22.9 14.0 17.4 47.4 28.9 35 .1 10.9 20.5 20.1 2.2

独身男性 Unmarried male 772 51 .5 27 .1 33 .1 27 .9 19 .5 27 .4 23 .4 18 .9 17 .7 10.8 13.8 43 .4 27.4 32 .9 10.4 17 .5 17 .3 2.1

独身女性２０・３０代 Unmarried female 20s/30s 624 58.7 25 .4 36 .3 21 .3 15 .4 29 .2 20 .1 16 .3 17 .9 10.8 11 .4 42 .2 23 .4 26 .9 8 .1 15 .9 15 .8 0.2

独身女性４０代以上 Unmarried female 40s and over 247 79.9 52.1 58.4 44.2 37.2 54.5 46.8 46.1 39.4 23.5 33.6 64.9 39.5 52.8 17.7 36.4 35.3 5.7

学生 Student 192 42 .0 21 .2 22 .2 19 .8 12 .1 15 .0 14 .9 10 .5 6 .7 2 .9 4 .2 36 .2 18 .7 22 .5 8 .3 14 .5 14 .5 ―

ライト Light 786 32 .3 9 .0 15 .0 8 .7 4 .4 11 .4 5 .6 4 .0 3 .4 2 .1 1 .8 16 .7 8 .0 10 .6 2 .6 5 .0 4 .9 0.2

ミドル Middle 1,235 54 .3 21 .0 32 .1 19 .6 14 .5 26 .8 18 .4 12 .5 10 .6 5 .5 7 .1 38 .6 19 .5 25 .7 7 .6 13 .8 13 .7 0.5

ヘビー Heavy 2,782 76.1 45.7 58.1 46.0 37.3 54.0 43.9 37.9 35.4 23.3 26.6 66.7 43.1 55.7 21.4 35.4 34.5 5.0

Sample

Central/

South

America

or

Caribbean

HawaiiHawaii

(Oahu)

Hawaii

(other

than

Oahu)

Guam or

SaipanGuam Saipan

South

Pacific

islands or

other

islands

China

(excluding

Hong

Kong and

Macau)

Shanghai Beijing

Other

China

(exc. Hong

Kong /

Macau)

Hong

Kong or

Macau

Hong

KongMacau Taiwan Korea

ＴＯＴＡＬ2016 survey total 4,802 14.7 54.2 48.5 28.4 46.7 42.1 20.6 13.6 37.0 26.3 22.0 20.1 41.6 41.0 21.7 48.5 51.4

2015 survey total 5,000 13.9 54.9 49.2 28.1 46.4 42.4 20.2 12.5 36.4 25.6 20.9 19.4 43.8 42.9 23.1 47.8 52.2

男性 Male 2,457 15.6 52.8 47.4 27.8 45.8 41.3 21.4 13.3 40.9 29.8 25.2 22.7 41.3 40.7 23.4 47.2 46 .2

女性 Female 2,345 13.7 55.7 49.6 29.0 47.6 43.0 19.8 13.9 33.0 22.6 18.8 17.3 42.0 41.3 20.0 49.9 56.9

男性　１８～２９歳Male 18-29 yrs 341 4 .2 29 .1 24 .2 12 .0 36 .0 32 .8 8 .0 5 .3 17 .9 11 .6 9 .5 6 .3 16 .8 16 .0 6 .9 27 .8 26 .7

男性　３０～３９歳Male 30-39 yrs 475 12.0 42 .6 35 .2 20 .7 38 .4 35 .2 14 .1 12.2 30 .8 20 .3 18.6 13 .7 33 .3 32 .5 19.8 40 .1 37 .8

男性　４０～４９歳Male 40-49 yrs 580 17.2 51.7 45.9 25.3 51.2 45.2 27.4 17.4 43.4 31.3 24.9 23.2 42.9 42.3 24.1 44.8 47.3

男性　５０～５９歳Male 50-59 yrs 465 19.0 65.9 62.0 35.7 57.3 51.6 31.4 17.1 45.7 32.7 26.9 27.8 50.4 50.0 27.8 51.6 53.9

男性　６０歳以上Male 60 yrs or older 596 20.9 65.3 60.5 38.8 43.0 39.3 21.3 11.6 55.8 44.2 38.2 34.7 53.1 52.5 31.6 62.8 56.8

女性　１８～２９歳Female 18-29 yrs 573 4 .3 36 .2 30 .4 12 .1 39 .9 36 .6 10 .8 6 .7 18 .8 11 .2 8 .4 6 .9 19 .6 18 .8 8 .4 39 .0 50.2

女性　３０～３９歳Female 30-39 yrs 483 8 .9 51.5 44.5 23.7 49.7 44.3 20.8 14.2 29 .3 17 .9 13 .8 13 .8 35 .5 34 .6 16 .3 48.0 59.4

女性　４０～４９歳Female 40-49 yrs 434 18.8 65.1 60.0 33.2 58.1 51.4 29.8 18.0 35.9 25.8 19.0 16.5 56.7 55.8 24.9 48.0 62.8

女性　５０～５９歳Female 50-59 yrs 378 19.5 70.0 64.7 40.7 54.2 49.9 25.1 19.9 35.3 24.4 23.2 18.7 51.7 51.1 23.4 54.0 53.6

女性　６０歳以上Female 60 yrs or older 478 20.5 63.5 56.4 41.6 39 .8 36 .1 16.4 13.9 49.4 36.7 32.6 33.0 54.3 53.9 30.5 63.3 59.6

関東 Kanto 3,021 16.2 56.0 50.8 29.2 48.8 43.1 23.8 15.0 36.6 25.6 21.9 20.0 42.4 41.8 22.4 48.9 49.4

関西 Kansai 1,150 11.5 50.9 44.4 25.8 42.0 39.7 14 .3 10.6 37.5 26.8 21.1 19.8 40.5 39.5 20.9 48.7 55.0

東海 Tokai 631 12.8 51.8 45.0 29.3 44.8 41.8 17.1 12.2 38.4 28.6 24.5 21.0 40.2 39.3 20.3 46.1 54.5

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,813 17.5 65.0 59.2 37.6 48.4 44.3 21.9 12.7 43.1 31.4 27.8 25.8 46.9 46.3 24.4 53.2 52.3

社会人（子供２～６歳）Worker (child 2-6 yrs) 231 12.7 55.4 49.5 27.0 61.2 54.8 28.1 18.5 37.0 26.1 18.8 18.1 43.4 42.0 18.9 37 .3 51.0

社会人（子供１歳以下）Worker (child 1 yr and under) 116 7 .3 45 .4 41 .6 19 .5 55.8 52.9 21.8 19.2 26 .9 22.9 14 .8 10 .2 25 .2 24 .3 16 .4 43 .1 39 .2

社会人（既婚・子供無）Worker (married, no children) 995 16.5 55.7 50.0 27.6 48.5 42.2 23.6 18.9 35.6 24.0 20.8 17.3 43.0 42.3 21.5 46.4 51.9

社会人（独身） Worker (unmarried) 1,455 12.3 43 .7 37 .7 20 .6 42.5 38.3 17.9 11.2 33.6 23.5 18.5 17.5 39.1 38.2 21.8 48.7 53.0

独身男性 Unmarried male 772 11.5 38 .7 33 .2 18 .3 38 .0 34 .2 15.8 10.1 35.7 25.5 21.0 19.3 36 .5 35 .9 22.1 42 .5 43 .1

独身女性２０・３０代 Unmarried female 20s/30s 624 6 .2 37 .1 31 .3 14 .9 40 .6 36 .8 13 .3 6 .4 21 .2 13 .5 9 .2 8 .5 24 .1 23 .0 11 .6 45.7 54.4

独身女性４０代以上 Unmarried female 40s and over 247 23.8 64.2 57.8 35.5 50.8 47.1 26.0 20.8 47.1 34.5 27.7 27.3 65.2 64.9 33.6 62.1 68.0

学生 Student 192 3 .8 28 .2 24 .6 12 .2 29 .1 27 .8 4 .5 3 .2 19 .4 13 .3 9 .3 8 .1 12 .9 12 .9 4 .5 30 .9 36 .2

ライト Light 786 1 .1 26 .4 22 .1 9 .8 20 .0 17 .4 4 .6 3 .2 8 .7 4 .4 3 .8 3 .2 7 .1 7 .0 3 .4 21 .0 17 .5

ミドル Middle 1,235 5 .2 47 .6 40 .2 19 .5 41 .6 37.3 11 .3 6 .1 20 .7 11 .7 10 .1 8 .1 25 .6 24 .7 9 .9 38 .0 41 .4

ヘビー Heavy 2,782 22.7 65.0 59.6 37.6 56.4 51.3 29.3 19.9 52.3 39.0 32.5 30.1 58.5 57.8 32.2 60.9 65.4

Sample

Southeast

AsiaSingapore Phuket

Thai

beaches

(other

than

Phuket)

Bangkok

or other

Thai cities

Bali

Indonesian

beaches

(other

than Bali)

Indonesian

citiesMalaysia Philippines Vietnam Cambodia

Other

places in

Asia

Oceania Australia

New

Zealand or

other

Oceania

Long

distance

Medium

distance

Short

distance

ＴＯＴＡＬ2016 survey total 4,802 64.9 38.8 12.6 9.4 31.1 21.6 4.3 9.0 22.6 13.6 21.8 14.2 13.0 38.5 34.7 12.9 79.1 85.0 86.6

2015 survey total 5,000 63.9 37.8 11.9 9.5 30.6 21.1 4.6 8.3 21.9 13.4 20.9 13.3 12.4 37.5 33.3 12.8 79.2 84.3 86.7

男性 Male 2,457 64.0 37.4 12.4 11.2 33.5 19.1 4.9 9.7 24.0 15.9 20.9 13.9 14.3 36.2 32.7 13.1 75.7 84.3 84.8

女性 Female 2,345 65.9 40.2 12.8 7.5 28.5 24.1 3.7 8.3 21.1 11.2 22.9 14.5 11.7 40.9 36.8 12.6 82.8 85.7 88.6

男性　１８～２９歳Male 18-29 yrs 341 45 .7 22 .7 3 .2 4 .2 16 .8 5 .9 1.5 3 .8 11 .6 7 .6 9 .1 8 .8 5 .9 20 .6 18 .5 4 .0 61 .5 68 .6 68 .0

男性　３０～３９歳Male 30-39 yrs 475 55 .3 29 .3 10.1 9.5 27.4 14 .8 2.7 9.1 17 .5 11.4 16 .2 11.6 12.2 29 .5 26 .4 10.5 69 .2 77 .4 80 .6

男性　４０～４９歳Male 40-49 yrs 580 66.0 38.2 14.1 13.7 37.1 21.8 4.4 10.2 25.5 19.1 20.7 14.1 16.4 38.8 35.7 12.0 73 .7 86.3 87.3

男性　５０～５９歳Male 50-59 yrs 465 69.6 41.8 20.8 14.5 40.2 26.5 6.1 10.4 26.5 19.0 23.3 11.6 15.3 41.6 37.8 15.5 80.4 90.8 92.7

男性　６０歳以上Male 60 yrs or older 596 75.2 47.9 11.2 11.4 39.0 21.7 8.1 12.6 32.9 18.6 29.5 20.0 18.0 43.8 39.0 19.4 87.2 91.5 89.0

女性　１８～２９歳Female 18-29 yrs 573 53 .0 25 .2 6 .9 3 .0 16 .6 17.0 1.3 4.3 9 .9 7 .3 12 .5 9.7 5 .2 32 .8 29 .3 6 .5 71 .6 75 .9 82.8

女性　３０～３９歳Female 30-39 yrs 483 62.1 32 .4 10.9 6.6 25 .4 24.3 2.5 7.0 16 .3 10.1 21.6 15.1 9.7 37.3 33.8 8.0 79.8 84.1 88.5

女性　４０～４９歳Female 40-49 yrs 434 75.1 47.6 20.9 11.4 34.2 30.2 4.9 9.3 27.3 15.6 24.9 12.5 14.0 48.4 43.6 13.3 86.9 90.9 93.2

女性　５０～５９歳Female 50-59 yrs 378 69.6 51.5 16.0 11.9 33.9 28.5 5.7 11.7 29.0 13.8 25.5 14.8 12.9 46.8 43.1 16.6 86.9 90.3 89.5

女性　６０歳以上Female 60 yrs or older 478 73.8 50.6 11.7 6.8 36.5 23.4 5.3 10.9 27.5 11.1 32.6 21.1 18.6 42.8 37.9 20.9 92.2 90.8 90.6

関東 Kanto 3,021 66.1 40.3 13.3 10.3 31.4 22.4 4.6 10.0 23.8 14.9 22.5 13.6 13.7 37.5 33.8 11.9 80.6 85.6 86.8

関西 Kansai 1,150 61.8 36.2 10.6 7.0 29.8 20.6 4.1 7.6 20.1 10.7 20.8 14.2 10.9 40.1 36.2 14.5 76.8 83.5 86.5

東海 Tokai 631 64.7 36.3 12.7 9.4 31.5 19.4 3.4 7.1 21.3 12.7 20.7 16.9 14.1 40.6 36.4 14.4 76.1 84.8 86.0

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,813 69.5 44.6 12.6 9.2 33.0 21.0 5.4 9.6 24.9 12.7 24.7 14.2 13.3 41.6 37.6 16.1 83.9 90.4 89.3

社会人（子供２～６歳）Worker (child 2-6 yrs) 231 63.5 35.3 13.9 10.9 26 .0 20.3 4.6 9.0 17 .1 17.8 15 .9 7 .7 9.9 34.6 31.7 9.9 74.9 83.3 87.7

社会人（子供１歳以下）Worker (child 1 yr and under) 116 54 .9 23 .9 14.9 7.4 22 .5 21.8 2.7 8.2 13 .9 14.7 14 .6 12.3 9.8 23 .8 20 .4 9.6 64 .4 80.4 79 .3

社会人（既婚・子供無）Worker (married, no children) 995 65.0 38.4 14.9 10.5 32.0 26.5 4.7 9.3 23.1 13.2 22.2 15.1 13.7 39.7 36.6 12.3 80.3 85.8 85.9

社会人（独身） Worker (unmarried) 1,455 62.6 35.4 11.6 9.7 31.2 21.2 3.2 8.9 22.1 14.9 21.2 15.8 14.3 36.8 32.9 10.7 76.2 80.8 85.5

独身男性 Unmarried male 772 58 .3 33 .0 9.9 11.6 32.8 15 .9 3.0 9.6 24.0 16.3 19.5 13.9 14.9 32 .3 28 .4 10.3 67 .6 76 .9 81 .5

独身女性２０・３０代 Unmarried female 20s/30s 624 56 .3 28 .0 7.9 3 .7 19 .8 18.0 1.5 4.1 13 .4 9.2 16 .6 13.6 7 .8 35.2 31.6 7 .2 77.5 76 .1 85.5

独身女性４０代以上 Unmarried female 40s and over 247 79.4 53.5 21.5 13.0 44.6 34.1 6.5 14.8 31.7 20.6 30.0 19.6 21.1 49.0 42.9 18.0 91.0 92.4 91.8

学生 Student 192 46 .3 24 .6 4 .7 2 .5 17 .9 5 .9 1.0 3 .4 13 .5 9.1 9 .9 5 .6 3 .9 29 .0 23 .9 6 .9 64 .5 65 .3 76 .9

ライト Light 786 24 .5 7 .8 1 .8 0 .6 6 .4 4 .5 0.2 1 .0 2 .6 2 .9 2 .5 2 .3 1 .7 12 .3 11 .1 2 .2 47 .0 54 .3 56 .5

ミドル Middle 1,235 52 .2 22 .7 4 .9 3 .0 15 .7 10 .6 0.4 1 .5 8 .7 5 .7 11 .1 8 .2 4 .2 27 .7 24 .1 6 .8 74.6 83.3 86.6

ヘビー Heavy 2,782 82.0 54.7 19.0 14.7 44.8 31.2 7.2 14.6 34.4 20.1 32.1 20.1 20.2 50.7 46.1 18.6 90.2 94.4 95.1

50.0 …Figures 5 or more points or higher than the 2016 survey total are shaded.

50 .0 …Figures 5 or more points or lower than the 2016 survey total are shaded.

Sex & age

Europe Middle East or Africa USA (excluding Hawaii and Alaska) Canada or Alaska

Sex

Southeast Asia Oceania

Area of

residence

Life

stage

Hawaii Guam or Saipan China (excluding Hong Kong and Macau) Hong Kong or Macau

Number of

trips taken

Sex

Sex & age

Area of

residence

Life

stage

Number of

trips taken

Number of

trips taken

Sex

Sex & age

Area of

residence

Life

stage

11

Reference

Overseas Travel in 2015


1) Outline of the Survey

●Purpose

To get a picture of what travel abroad was in 2015.

●Respondents

Whose who were selected from INTAGE’s Intage Net Panel (the three regions of Kanto, Kansai, and

Tokai).

●Period

Mar 9 (Wed.) through Mar 15 (The.), 2016

●Method

Internet survey

●Sample Size

66,310 respondents (204,786 approached, 66,719 collected from for a collection rate of 32.6%)

† Of the 66,310 respondents included in this survey, only the 19,993 evenly collected on the basis of

gender and age were subjected to the following method of weight-back tabulation for displaying here

●Tabulation Method

The results of this survey were subjected to tabulation (weight-back tabulation) to conform to the gender

and age population breakdowns of the three areas as based on the 2010 National Census (Bureau of

Statistics Ministry of Internal Affairs and Communications).

The three areas covered were Kanto (Tokyo, Kanagawa, Chiba, Saitama, Gunma, Tochigi, Ibaraki

prefectures), Kansai (Osaka, Kyoto, Hyogo, Nara, Shiga, Wakayama prefectures), and Tokai (Gifu,

Shizuoka, Aichi, Mie prefectures).

Weighting

●Prior to the main part of this report, booking status, cost, degree of satisfaction (from

page 15 on), the results such as rate of overseas travel in 2015 are indicated from the

following survey results.

Male18－29yrs 30－39yrs 40－49yrs 50－59yrs 60yrs+ 18－29yrs 30－39yrs 40－49yrs 50－59yrs 60yrs+

0.75193552 0.78848723 0.93698177 0.72336238 1.67149382 0.71858455 0.75749785 0.90361129 0.71083588 2.03832924

Female


Went overseas Didn't go

●Legend



Sex Male (n=9,738)

Female (n=10,255)

Sex & age Male 18-29 yrs (n=1,503)

Male 30-39 yrs (n=1,577)

Male 40-49 yrs (n=1,874)

Male 50-59 yrs (n=1,446)

Male 60 yrs or older (n=3,338)

Female 18-29 yrs (n=1,437)

Female 30-39 yrs (n=1,515)

Female 40-49 yrs (n=1,807)

Female 50-59 yrs (n=1,421)

Female 60 yrs or older (n=4,075)

Area of

residenceKanto (n=11,648)

Kansai (n=5,364)

Tokai (n=2,981)

14.9％

14.8

14.0

15.7

13.8

10.3

12.4

14.2

16.6

16.9

11.8

11.4

14.2

19.2

16.3

12.4

13.6

85.1

85.2

86.0

84.3

86.2

89.8

87.7

85.8

83.4

83.2

88.2

88.6

85.8

80.8

83.7

87.6

86.4

2) Overseas Travel in 2015 (1)

■Overseas travel experienced in 2015 (Total/Single answer)


Leisure Business

To visit friends/

acquaintances/

family/relatives

Study abroad/

TrainingOther

●Legend



Sex Male (n=1,361)

Female (n=1,611)

Sex & age Male 18-29 yrs (n=208)

Male 30-39 yrs (n=162)

Male 40-49 yrs (n=231)

Male 50-59 yrs (n=205)

Male 60 yrs or older (n=555)

Female 18-29 yrs (n=242)




Female 60 yrs or older (n=783)

Area of

residenceKanto (n=1,902)

Kansai (n=664)

Tokai (n=405)

† "Leisure" is the total of "Sightseeing," "Sports viewing," and "Hobbies/Sports." "To visit friends/acquaintances/family/relatives" is the total of

"To visit friends/acquaintances/family/relatives (stay of less than one year)" and "To visit friends/acquaintances/family/relatives

(stay of one year or more)."

"Study abroad / training" is the total of "Study abroad / training (stay of less than one year)" and "Study abroad / training (stay of one year or more)."

76.9％

77.9

69.6

83.1

71.0

63.4

59.9

55.6

80.1

78.3

83.5

84.2

83.4

84.1

77.0

78.9

73.4

11.2

10.6

22.6

1.6

11.6

31.2

36.8

39.1

12.0

2.4

3.0

3.1

2.1

0.5

11.6

9.7

11.8

7.5

7.0

4.6

10.0

5.1

2.9

3.2

4.9

5.4

5.6

9.7

11.8

12.0

10.4

7.5

7.4

8.1

1.9

1.6

2.0

1.7

10.9

1.0

-

-

0.6

8.3

0.8

-

-

0.8

1.7

1.9

2.8

2.5

2.8

1.2

3.6

1.4

1.5

-

0.4

1.8

5.3

3.0

0.9

2.5

4.2

2.3

2.1

3.9

14

2) Overseas Travel in 2015 (2)

■Purpose of overseas travel in 2015 (2015 overseas travelers/Single answer)

15

Outline of Overseas Travel in 2015

Chapter 1

Part 1

Trends in Overseas Travel Booking in 2015


Part 1 Trends in Overseas Travel Booking in 2015 Chapter 1 Outline of Overseas Travel in 2015

Once 2 times 3 times 4 times5 times or

moreNo ans.

●Legend

2016 survey total (n=4,802) 1.7

2015 survey total (n=5,000) 1.6

Sex Male (n=2,457) 1.7

Female (n=2,345) 1.6

Sex & age Male 18-29 yrs (n=341) 1.6

Male 30-39 yrs (n=475) 1.7

Male 40-49 yrs (n=580) 1.7

Male 50-59 yrs (n=465) 1.7


Female 18-29 yrs (n=573) 1.5

Female 30-39 yrs (n=483) 1.6

Female 40-49 yrs (n=434) 1.7

Female 50-59 yrs (n=378) 1.6


Area of


Kansai (n=1,150) 1.6

Tokai (n=631) 1.6

Life









Student (n=192) 1.5

Number of


Middle (n=1,235) 1.3

Heavy (n=2,782) 2.0

Average

(times)

66.1％

66.8

65.9

66.3

73.9

68.4

64.9

65.7

60.5

68.8

69.7

66.2

64.3

61.7

65.1

67.4

68.4

67.1

75.1

77.8

66.7

61.7

61.2

65.2

60.0

68.9

87.2

80.4

53.8

21.1

20.7

20.4

21.8

16.0

19.8

20.7

18.2

24.8

21.6

22.1

18.6

22.8

24.2

21.5

21.3

19.0

21.1

14.2

16.6

21.0

22.8

20.9

24.2

22.1

19.1

10.7

15.5

26.5

7.3

7.4

7.3

7.3

5.3

5.3

7.9

9.2

7.9

6.9

4.7

7.8

8.2

9.0

7.4

6.6

8.0

7.0

3.4

4.5

7.0

8.4

8.9

7.6

8.9

8.4

2.1

2.0

11.0

2.2

2.3

2.6

1.7

1.5

2.3

1.7

2.9

4.1

0.4

1.6

3.6

1.8

1.6

2.4

1.9

1.9

2.1

0.9

-

2.2

2.7

3.2

1.2

4.0

1.4

-

0.4

3.6

3.3

2.8

3.8

2.8

3.4

4.2

4.8

4.1

2.7

2.4

1.9

3.8

2.9

3.5

3.7

2.9

2.6

2.6

6.5

1.1

3.0

4.4

5.7

1.9

5.0

2.3

-

1.6

5.1

16

■Number of overseas trips in 2015 (Total/Single answer)

1. Number of Overseas Trips in 2015



17

■Destinations in 2015 (Total/Multiple answers)

（％）2015

destination

2014

destination

2013

destination

2012

destination

(n=4,802) (n=5,000) (n=4,936) (n=5,078)

UK 4.2 3.8 0.4 4.2 4.2France 6.0 7.7 ▲ 1.7 7.5 7.5Germany 4.8 4.0 0.8 4.6 4.7Spain 3.9 3.6 0.3 3.5 2.9Italy 5.8 5.5 0.3 5.7 5.8Other countries in western Europe 5.8 5.2 0.6 5.6 6.3Greece 0.7 0.6 0.1 0.5 0.5Countries of eastern Europe 3.1 2.4 0.7 3.1 2.6Countries of northern Europe 2.2 1.8 0.4 1.9 1.2Turkey 1.2 1.9 ▲ 0.7 2.2 2.9Morocco 0.4 0.7 ▲ 0.3 0.6 0.6Egypt 0.1 0.2 ▲ 0.1 0.5 0.7Dubai 0.9 0.8 0.1 0.8 0.9Kenya ― 0.1 ▲ 0.1 0.2 0.2Other Middle East or Africa 0.8 1.0 ▲ 0.2 1.1 1.9USA east 4.7 4.3 0.4 3.6 4.1USA west 5.2 5.1 0.1 5.6 5.5USA south 1.3 1.4 ▲ 0.1 1.3 1.4Canada 2.3 2.4 ▲ 0.1 1.9 2.0Alaska 0.2 0.1 0.1 0.1 0.4Mexico 0.5 0.8 ▲ 0.3 0.6 0.6Jamaica ― 0.1 ▲ 0.1 0.1 0.1Caribbean islands 0.3 0.3 ― 0.4 0.3Other Central/South America 0.9 0.8 0.1 1.3 1.1Hawaii (Oahu) 13.0 13.5 ▲ 0.5 12.7 13.5Hawaii (other than Oahu) 3.5 3.7 ▲ 0.2 3.7 4.2Guam 7.0 6.5 0.5 7.7 8.4Saipan 0.8 1.1 ▲ 0.3 1.4 1.7Palau 0.4 0.5 ▲ 0.1 0.5 0.6Other Micronesia 0.2 0.1 0.1 0.1 0.2Fiji 0.1 ― 0.1 0.1 0.1Tahiti 0.2 0.1 0.1 0.3 0.2New Caledonia 0.2 0.2 ― 0.2 0.4Maldives 0.5 0.5 ― 0.6 0.4Other Islands in South Pacific of Indian Ocean 0.1 0.1 ― 0.2 0.3Shanghai 2.3 2.2 0.1 2.5 4.3Beijing 1.0 0.8 0.2 0.7 2.7Other China 2.4 2.0 0.4 1.9 3.4Hong Kong 5.4 5.7 ▲ 0.3 5.0 6.9Macau 2.1 1.9 0.2 2.1 3.0Taiwan 15.9 14.3 1.6 12.8 12.1Korea 10.0 12.5 ▲ 2.5 15.4 20.3Singapore 6.1 5.0 1.1 5.4 4.8Phuket 1.2 1.1 0.1 1.2 1.4Thai beaches (other than Phuket) 1.1 1.2 ▲ 0.1 1.4 1.8Thailand (other than beach resorts) 6.2 5.6 0.6 6.6 6.6Bali 2.7 2.7 ― 3.2 2.9Indonesian beaches (other than Bali) 0.4 0.2 0.2 0.3 0.4Indonesia (other than beach resorts) 0.7 0.6 0.1 0.7 0.7Malaysian beaches 0.9 0.9 ― 0.9 1.0Malaysia (other than beach resorts) 2.1 2.2 ▲ 0.1 2.1 2.1Cebu Island 1.2 1.0 0.2 0.8 0.9Philippine beaches (other than Cebu Island) 0.6 0.2 0.4 0.5 0.6Philippines (other than beach resorts) 1.0 1.2 ▲ 0.2 0.8 0.9Vietnam cities (Ho Chi Minh, Hanoi) 3.8 3.9 ▲ 0.1 4.0Vietnam beaches 1.3 0.5 0.8 0.4Vietnam (other than cities and beach resorts) 0.8 0.5 0.3 0.6Cambodia 1.9 2.3 ▲ 0.4 2.2 1.7India 0.9 1.0 ▲ 0.1 0.9 1.2Sri Lanka 0.5 0.5 ― 0.5 *Other Asia 1.0 1.2 ▲ 0.2 1.3 1.6Australia 3.6 3.3 0.3 3.1 3.8New Zealand 1.2 1.1 0.1 1.2 0.9Other Oceania 0.1 0.1 ― 0.1 0.1

Europe/total 25.7 25.4 0.3 26.5 24.5Middle East or Africa/total 3.0 4.1 ▲ 1.1 4.7 6.2USA (exc. Hawaii and Alaska)/total 10.3 9.8 0.5 9.4 9.6Canada or Alaska/total 2.4 2.5 ▲ 0.1 2.0 2.3Central/South America or Caribbean/total 1.5 1.8 ▲ 0.3 2.0 1.9Hawaii/total 15.3 15.7 ▲ 0.4 14.4 15.3Guam or Saipan/total 7.7 7.4 0.3 8.8 9.5South Pacific islands or other islands/total 1.6 1.5 0.1 1.8 1.9China (ex. Hong Kong / Macau)/total 5.0 4.5 0.5 4.4 8.8Hong Kong or Macau/total 5.9 6.3 ▲ 0.4 5.7 7.5Southeast Asia/total 24.3 22.5 1.8 23.6 21.8Other places in Asia/total 2.2 2.6 ▲ 0.4 2.6 2.7Oceania/total 4.8 4.3 0.5 4.2 4.5Long distance/total 37.7 39.2 ▲ 1.5 39.5 38.3Medium distance/total 42.5 41.1 1.4 41.0 39.8Short distance/total 41.0 40.7 0.3 42.2 49.0

† "*":No applicable data

4.2

Oceania

Guam or

Saipan

South Pacific

islands or other

islands

Other places in

Asia

Southeast Asia

China (excluding

Hong Kong and

Macau)Hong Kong or

Macau

increase

/decrease

2014→2015

Hawaii

USA (excluding

Hawaii and

Alaska)Canada or

Alaska

Europe

Middle East

or Africa

Central/South

America or

Caribbean

0 5 10 15 20 25 30 35 40 45

2015

destination

2014

destination

2. Destinations in 2015 (1)



（％）

ＴＯＴＡＬ

Sample


Other

countries

in western

Europe

Other

places in

Europe

Middle

East

or Africa

Turkey

Other

Middle

East or

Africa

USA

(excluding

Hawaii and

Alaska)


south

Canada or

AlaskaCanada Alaska

ＴＯＴＡＬ2016 survey total 4,802 25.7 4.2 6.0 4.8 3.9 5.8 5.8 5.6 3.0 1.2 2.0 10.3 4.7 5.2 1.3 2.4 2.3 0.2

2015 survey total 5,000 25.4 3.8 7.7 4.0 3.6 5.5 5.2 4.5 4.1 1.9 2.5 9.8 4.3 5.1 1.4 2.5 2.4 0.1

男性 Male 2,457 23.7 4.1 5.8 5.0 3.9 5.5 5.3 5.0 3.2 1.3 2.1 9.9 4.9 4.9 1.3 2.3 2.2 0.3

女性 Female 2,345 27.7 4.3 6.3 4.7 3.9 6.0 6.4 6.2 2.7 1.0 1.8 10.7 4.5 5.5 1.3 2.5 2.5 0.2

男性　１８～２９歳Male 18-29 yrs 341 24.8 4.8 7.6 5.1 5.5 5.5 4.4 2.5 3.2 1.3 2.5 9.5 3.2 5.5 2.1 2.1 1.9 0.2

男性　３０～３９歳Male 30-39 yrs 475 20 .7 5.7 6.3 6.1 1.7 4.6 2.7 3.6 2.7 0.8 1.9 12.9 7.6 6.1 1.5 3.2 3.0 0.2

男性　４０～４９歳Male 40-49 yrs 580 17 .0 3.3 6.2 4.8 2.7 3.5 3.5 3.7 2.7 1.2 2.1 8.3 4.6 4.4 0.4 1.7 1.7 ―

男性　５０～５９歳Male 50-59 yrs 465 18 .4 2.7 4.3 2.2 3.3 4.9 3.5 3.7 2.0 0.8 1.4 9.2 3.3 6.1 0.6 1.8 1.8 0.2

男性　６０歳以上Male 60 yrs or older 596 36.2 4.1 5.2 6.4 6.4 8.5 11.0 9.9 5.0 2.3 2.7 9.7 5.4 3.1 2.1 2.7 2.5 0.6

女性　１８～２９歳Female 18-29 yrs 573 22.8 5.0 6.9 5.6 3.4 6.5 4.7 3.0 1.5 0.4 1.1 12.7 5.2 5.8 2.8 1.5 1.5 ―

女性　３０～３９歳Female 30-39 yrs 483 26.0 3.9 7.6 3.7 3.1 5.4 4.7 4.5 1.9 0.8 1.0 10.1 4.7 4.5 1.0 2.1 2.1 0.2

女性　４０～４９歳Female 40-49 yrs 434 20 .3 3.6 4.7 2.3 2.5 1.9 4.7 7.2 3.0 0.6 2.5 9.3 3.4 6.3 0.8 1.9 1.7 0.4

女性　５０～５９歳Female 50-59 yrs 378 29.0 4.1 6.6 6.2 5.1 5.7 5.7 5.3 1.8 0.6 1.4 10.5 4.7 5.5 0.8 3.5 3.5 0.2

女性　６０歳以上Female 60 yrs or older 478 41.0 4.9 5.3 5.5 5.5 10.2 12.3 11.5 5.5 2.7 3.3 10.2 4.5 5.5 0.6 4.1 4.1 ―

関東 Kanto 3,021 26.9 4.6 6.3 5.4 4.0 5.6 6.3 6.0 2.8 1.2 1.9 11.3 5.2 5.7 1.6 2.4 2.4 0.2

関西 Kansai 1,150 23.9 3.8 5.8 3.8 3.2 6.1 4.3 5.5 3.4 1.3 2.3 8.3 4.1 4.0 0.9 2.3 2.0 0.3

東海 Tokai 631 22.9 3.2 5.0 3.8 4.4 5.9 6.4 3.7 2.9 1.0 2.0 9.0 3.7 5.2 0.9 2.6 2.6 0.2

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,813 27.9 4.1 4.8 4.5 4.7 6.3 7.3 6.7 3.7 1.6 2.4 9.0 4.2 4.4 1.1 2.4 2.3 0.2

社会人（子供２～６歳）Worker (child 2-6 yrs) 231 13 .8 3.5 5.2 4.0 1.0 3.0 1.4 1.2 1.8 1.1 0.7 9.7 4.7 6.3 1.3 2.5 2.2 0.3

社会人（子供１歳以下）Worker (child 1 yr and under) 116 15 .1 6.0 3.8 4.5 1.7 1.7 1.5 0.9 1.1 ― 1.1 6.5 3.5 3.0 ― 1.0 1.0 ―

社会人（既婚・子供無）Worker (married, no children) 995 28.3 3.3 7.8 4.1 4.0 7.1 7.1 5.8 2.3 0.9 1.6 10.3 4.3 5.4 1.4 3.1 3.0 0.4

社会人（独身） Worker (unmarried) 1,455 23.5 4.5 6.5 5.2 3.1 5.1 4.2 5.7 2.9 1.1 2.1 11.2 5.5 5.6 1.3 2.0 1.9 0.1

独身男性 Unmarried male 772 21.2 5.3 6.6 6.9 3.4 4.6 3.7 4.0 3.8 1.5 2.9 11.7 6.0 5.9 1.7 1.9 1.8 0.1

独身女性２０・３０代 Unmarried female 20s/30s 624 24.7 4.5 6.7 5.5 3.4 5.2 4.2 4.2 1.2 0.5 0.7 13.1 5.8 5.9 2.1 2.0 2.0 ―

独身女性４０代以上 Unmarried female 40s and over 247 30.6 3.9 6.4 2.8 3.7 5.5 7.0 11.2 4.0 1.1 2.9 10.4 4.3 6.4 ― 3.0 3.0 0.3

学生 Student 192 27.8 6.7 7.4 9.7 6.3 4.7 5.9 1.0 1.8 0.4 1.8 17.7 6.6 8.8 3.6 2.8 2.8 ―

ライト Light 786 21.3 4.4 7.0 3.6 2.6 5.4 2.5 1.6 1.8 1.0 0.8 8.1 3.4 4.1 1.5 1.2 1.2 0.1

ミドル Middle 1,235 21.6 3.3 4.7 4.1 3.5 4.6 3.9 3.2 1.6 0.6 1.1 8.9 4.0 3.8 1.5 2.2 2.2 ―

ヘビー Heavy 2,782 28.7 4.5 6.3 5.5 4.5 6.4 7.6 7.8 3.9 1.5 2.7 11.5 5.4 6.2 1.2 2.9 2.7 0.3

Sample

Central/

South

America

or

Caribbean

HawaiiHawaii

(Oahu)

Hawaii

(other

than

Oahu)

Guam or

SaipanGuam Saipan

South

Pacific

islands or

other

islands

China

(excluding

Hong

Kong and

Macau)

Shanghai Beijing

Other

China

(exc. Hong

Kong /

Macau)

Hong

Kong or

Macau

Hong


ＴＯＴＡＬ2016 survey total 4,802 1.5 15.3 13.0 3.5 7.7 7.0 0.8 1.6 5.0 2.3 1.0 2.4 5.9 5.4 2.1 15.9 10.0

2015 survey total 5,000 1.8 15.7 13.5 3.7 7.4 6.5 1.1 1.5 4.5 2.2 0.8 2.0 6.3 5.7 1.9 14.3 12.5

男性 Male 2,457 1.9 15.0 12.6 3.6 8.1 7.2 1.0 1.5 6.7 3.0 1.5 3.3 6.9 6.0 2.7 16.4 7.6

女性 Female 2,345 1.2 15.6 13.4 3.5 7.3 6.7 0.7 1.6 3.2 1.6 0.5 1.5 5.0 4.7 1.5 15.3 12.5

男性　１８～２９歳Male 18-29 yrs 341 1.3 14.1 11.8 3.4 9.9 9.3 0.6 1.5 5.5 3.4 1.3 1.7 4.2 3.8 1.1 15.8 7.6

男性　３０～３９歳Male 30-39 yrs 475 2.1 18.4 14.6 4.4 9.7 8.2 1.9 2.1 7.2 3.0 2.7 3.0 7.2 5.9 3.4 17.7 8.6

男性　４０～４９歳Male 40-49 yrs 580 1.7 14.3 12.4 3.3 10.0 9.1 1.0 1.7 6.2 3.3 1.5 2.9 10.6 9.3 4.6 14.1 9.3

男性　５０～５９歳Male 50-59 yrs 465 1.2 15.3 13.1 3.5 7.1 6.3 0.8 1.6 7.8 3.5 1.2 4.1 7.6 6.9 1.8 18.8 7.8

男性　６０歳以上Male 60 yrs or older 596 2.7 13.2 11.4 3.5 4.5 4.1 0.4 0.8 6.6 2.3 1.0 4.1 3.9 3.5 1.9 16.1 5 .0

女性　１８～２９歳Female 18-29 yrs 573 0.4 16.2 14.4 2.6 9.7 8.8 0.9 2.2 1.7 0.6 0.6 0.9 3.4 3.2 1.3 14.2 15.5

女性　３０～３９歳Female 30-39 yrs 483 0.8 17.1 14.6 4.3 8.7 8.5 0.4 2.3 3.7 2.1 0.6 1.4 5.4 5.4 1.6 13.6 12.4

女性　４０～４９歳Female 40-49 yrs 434 1.5 16.7 15.2 2.7 8.9 7.6 1.3 1.3 3.6 1.7 0.8 1.5 7.8 7.0 2.1 15.9 13.1

女性　５０～５９歳Female 50-59 yrs 378 1.4 14.2 11.7 3.9 5.7 5.1 0.6 1.0 3.3 2.1 0.2 1.4 5.5 5.5 1.2 19.7 13.3

女性　６０歳以上Female 60 yrs or older 478 2.0 13.3 10.5 3.9 2.9 2.9 0.4 1.0 3.9 1.6 0.2 2.5 3.5 3.1 1.4 14.3 8.0

関東 Kanto 3,021 1.7 16.8 14.4 3.7 7.7 6.7 1.1 1.7 5.0 2.7 1.2 2.1 6.1 5.5 2.1 15.7 8.9

関西 Kansai 1,150 1.0 12.6 10.6 3.5 7.1 6.8 0.3 1.1 4.4 1.1 0.4 3.0 5.7 5.0 2.1 17.2 12.8

東海 Tokai 631 1.9 12.8 10.7 3.1 8.9 8.7 0.3 1.6 6.0 2.8 1.3 2.6 5.8 5.3 2.0 14.2 10.2

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,813 1.6 15.8 13.1 3.9 6.7 6.2 0.6 0.7 5.3 2.1 0.9 2.9 5.0 4.5 1.6 15.2 8.0

社会人（子供２～６歳）Worker (child 2-6 yrs) 231 0.4 24.4 19.9 5.3 19.1 17.6 1.9 1.7 4.4 1.9 1.7 1.8 6.9 5.5 1.9 10 .1 8.7

社会人（子供１歳以下）Worker (child 1 yr and under) 116 ― 17.4 17.4 ― 18.7 18.7 1.0 3.0 5.7 4.0 1.1 1.7 4.7 4.7 1.1 12.7 8.6

社会人（既婚・子供無）Worker (married, no children) 995 2.2 18.0 15.8 4.0 6.4 5.8 0.8 3.6 4.0 2.3 1.1 1.3 5.4 4.8 2.3 14.8 9.3

社会人（独身） Worker (unmarried) 1,455 1.4 12.1 10.3 3.0 7.2 6.2 1.1 1.4 5.3 2.5 1.1 2.8 7.9 7.3 3.0 18.5 12.5

独身男性 Unmarried male 772 1.8 11.2 9.0 3.0 6.5 5.5 1.0 1.5 8.4 4.0 1.7 4.6 10.4 9.4 4.0 19.5 10.0

独身女性２０・３０代 Unmarried female 20s/30s 624 0.7 12.5 10.8 3.1 8.6 7.6 1.1 0.8 1.9 0.8 0.4 0.9 3.9 3.7 1.2 16.6 16.5

独身女性４０代以上 Unmarried female 40s and over 247 1.5 10.8 10.1 1.8 5.7 5.3 0.4 1.4 2.9 1.5 1.1 1.1 6.1 6.1 2.2 18.7 13.8

学生 Student 192 0.6 8 .3 7 .0 1.9 6.8 6.8 ― ― 4.0 2.5 0.7 1.5 2.5 2.5 ― 16.1 16.7

ライト Light 786 0.2 15.5 12.8 3.7 8.9 8.0 0.8 1.8 3.2 1.6 0.8 0.8 2.9 2.6 1.3 15.7 7.6

ミドル Middle 1,235 1.3 15.0 13.0 2.8 8.6 7.9 0.9 1.1 3.0 1.0 0.4 1.6 4.5 4.0 1.3 15.8 9.0

ヘビー Heavy 2,782 2.0 15.3 13.0 3.8 7.0 6.3 0.8 1.7 6.4 3.1 1.4 3.2 7.4 6.8 2.7 15.9 11.1

Sample

Southeast


Thai

beaches

(other

than

Phuket)

Bangkok

or other

Thai cities

Bali

Indonesian

beaches

(other

than Bali)

Indonesian


Other

places in

Asia

Oceania Australia

New

Zealand or

other

Oceania

Long

distance

Medium

distance

Short

distance

ＴＯＴＡＬ2016 survey total 4,802 24.3 6.1 1.2 1.1 6.2 2.7 0.4 0.7 2.7 2.5 4.9 1.9 2.2 4.8 3.6 1.3 37.7 42.5 41.0

2015 survey total 5,000 22.5 5.0 1.1 1.2 5.6 2.7 0.2 0.6 2.7 2.3 4.5 2.3 2.6 4.3 3.3 1.1 39.2 41.1 40.7

男性 Male 2,457 26.9 6.2 1.3 1.6 9.1 2.2 0.3 0.7 3.0 3.0 4.9 2.0 2.5 4.6 3.7 1.2 35.1 44.0 41.6

女性 Female 2,345 21.6 6.0 1.2 0.7 3.3 3.1 0.5 0.7 2.4 1.9 4.9 1.8 1.9 4.9 3.6 1.4 40.3 40.9 40.3

男性　１８～２９歳Male 18-29 yrs 341 23.6 8.0 0.2 0.6 5.7 2.1 0.4 1.1 3.2 2.7 4.0 2.5 2.1 3.6 2.9 0.8 35.6 40.6 39.8

男性　３０～３９歳Male 30-39 yrs 475 23.4 7.4 1.1 0.2 7.6 2.5 0.2 0.8 2.3 2.7 2.5 1.3 2.1 3.6 3.4 0.2 34.0 42.4 44.5

男性　４０～４９歳Male 40-49 yrs 580 30.5 8.1 1.9 3.1 12.2 2.5 0.4 0.8 2.7 3.1 5.4 1.5 3.3 4.8 4.6 0.6 27 .0 49.0 44.6

男性　５０～５９歳Male 50-59 yrs 465 29.8 4.1 2.2 1.0 10.8 2.4 0.2 ― 3.9 4.5 5.5 2.7 2.0 4.3 2.9 1.6 28 .6 44.9 46.9

男性　６０歳以上Male 60 yrs or older 596 25.6 3.9 0.8 2.1 7.9 1.4 0.2 0.6 3.1 2.3 6.2 2.5 2.7 6.2 4.1 2.5 48.8 41.7 33 .3

女性　１８～２９歳Female 18-29 yrs 573 22.2 6.7 1.3 0.4 2.8 4.7 ― 0.2 2.4 1.3 3.0 3.0 0.9 5.2 4.7 0.4 36.2 41.6 42.2

女性　３０～３９歳Female 30-39 yrs 483 18 .4 4.3 0.6 1.0 3.9 1.6 0.2 0.6 2.1 1.6 3.5 1.6 1.6 4.3 3.5 0.8 38.1 40.0 39.4

女性　４０～４９歳Female 40-49 yrs 434 24.7 7.8 2.1 1.5 3.2 3.0 1.1 0.8 2.3 4.0 5.7 0.8 1.7 4.9 3.8 1.1 32 .3 42.9 45.9

女性　５０～５９歳Female 50-59 yrs 378 19.5 6.2 1.0 0.4 2.7 3.7 0.4 1.4 2.5 1.6 4.3 1.4 1.8 5.5 3.3 2.5 41.7 38.2 44.1

女性　６０歳以上Female 60 yrs or older 478 22.7 4.9 0.8 0.2 3.7 2.5 0.8 0.8 2.7 1.0 8.4 1.8 3.5 4.7 2.5 2.5 53.7 41.2 30 .7

関東 Kanto 3,021 23.9 6.1 1.2 1.0 6.3 2.7 0.4 0.8 2.5 2.5 4.8 1.7 2.2 4.7 3.5 1.4 39.1 43.7 39.6

関西 Kansai 1,150 24.4 6.6 1.1 1.1 5.5 2.8 0.3 0.5 3.2 2.2 5.1 2.0 2.4 5.1 3.8 1.5 35.1 40.5 43.9

東海 Tokai 631 25.6 4.8 1.5 1.6 7.3 2.2 0.1 0.3 2.5 2.9 5.0 2.8 1.9 4.6 4.0 0.6 35.3 40.3 42.4

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,813 23.7 5.6 1.0 1.1 5.8 1.9 0.3 0.5 2.5 1.9 6.5 1.9 2.0 5.6 3.7 2.1 39.2 42.7 38.0

社会人（子供２～６歳）Worker (child 2-6 yrs) 231 21.5 9.6 1.4 1.0 4.2 0.7 0.3 0.7 1.3 1.8 3.5 ― 0.9 4.2 3.8 0.4 23 .0 46.6 45.8

社会人（子供１歳以下）Worker (child 1 yr and under) 116 22.3 5.3 0.9 1.9 1.6 4.1 ― ― 2.5 5.3 3.4 0.9 1.0 3.6 1.9 1.7 22 .7 42.0 48.2

社会人（既婚・子供無）Worker (married, no children) 995 22.4 4.5 1.5 1.2 5.8 3.7 0.7 0.7 2.6 2.6 3.8 1.4 2.1 4.2 3.4 0.8 40.4 43.9 36.2

社会人（独身） Worker (unmarried) 1,455 27.7 6.9 1.5 1.2 8.3 3.2 0.4 0.8 3.3 3.1 4.2 2.9 3.0 4.3 3.8 0.8 36.4 42.5 46.0

独身男性 Unmarried male 772 31.0 8.0 1.4 1.7 12.0 2.3 0.3 1.3 3.8 3.8 3.9 2.5 3.9 4.0 3.7 0.8 33.8 44.9 48.0

独身女性２０・３０代 Unmarried female 20s/30s 624 21.9 6.2 1.1 0.7 3.8 3.6 0.2 0.4 2.6 1.6 3.6 2.8 1.6 4.2 4.0 0.2 39.1 36 .2 45.1

独身女性４０代以上 Unmarried female 40s and over 247 24.4 6.5 1.8 0.4 3.8 3.6 0.7 1.0 2.9 3.7 5.8 2.9 2.1 5.4 3.6 2.1 43.7 39.5 42.1

学生 Student 192 17 .6 8.2 ― 0.7 2.8 1.0 ― 1.4 2.1 1.5 2.7 1.0 0.7 4.6 4.2 0.4 44.5 28 .0 45.5

ライト Light 786 15 .8 4.1 1.0 0.3 3.5 2.4 0.1 0.2 1.4 1.4 1.0 0.9 0.7 5.1 4.6 0.7 31 .2 36 .4 38.5

ミドル Middle 1,235 19.5 5.9 0.5 0.4 3.5 2.1 ― 0.1 1.7 1.6 4.2 1.8 0.6 4.1 3.2 0.8 33.3 37 .5 40.0

ヘビー Heavy 2,782 28.7 6.7 1.7 1.7 8.2 3.0 0.6 1.1 3.5 3.2 6.3 2.3 3.3 5.0 3.6 1.7 41.4 46.4 42.1



Number of

trips taken

Canada or Alaska

Guam or Saipan

Europe USA (excluding Hawaii and Alaska)

Hong Kong or Macau

Middle East or Africa

Hawaii China (excluding Hong Kong and Macau)

Sex

Life

stage

Life

stage

Area of

residence

Area of

residence

Sex

Sex & age

Number of

trips taken

Oceania

Area of

residence

Number of

trips taken

Life

stage

Sex & age

Sex

Southeast Asia

Sex & age

18

■Destinations in 2015: by demographic (Total/Multiple answers)

2. Destinations in 2015 (2)



19

■Last destination repeat percentage (†1) (Total/Multiple answers)

（％）

UK (n=132) 61.7 (n=127) 43.7France (n=196) 53.7 (n=275) 46.0Germany (n=150) 46.9 (n=137) 44.4Spain (n=121) 26.1 (n=116) 29.6Italy (n=205) 49.7 (n=193) 39.7Other countries in western Europe (n=190) 60.7 (n=180) 51.2Greece (n=14) ― (n=17) 21.6Countries of eastern Europe (n=90) 53.3 (n=72) 32.4Countries of northern Europe (n=65) 30.6 (n=68) 31.9Turkey (n=23) 27.1 (n=56) 19.3Morocco (n=12) ― (n=13) 7.8Egypt (n=1) 48.1 (n=5) 17.1Dubai (n=21) 21.4 (n=25) 19.4Kenya (n=1) ― (n=1) 100.0Other Middle East or Africa (n=17) 66.3 (n=23) 43.9USA east (n=150) 50.2 (n=141) 55.4USA west (n=180) 68.9 (n=179) 60.3USA south (n=44) 45.9 (n=50) 48.1Canada (n=73) 47.3 (n=89) 47.2Alaska (n=3) 26.4 (n=5) ―Mexico (n=15) 40.2 (n=26) 21.6Jamaica (n=0) ― (n=2) 66.3Caribbean islands (n=7) 13.1 (n=9) 25.2Other Central/South America (n=25) 30.6 (n=26) 24.9Hawaii (Oahu) (n=507) 70.3 (n=560) 72.0Hawaii (other than Oahu) (n=121) 59.6 (n=146) 58.6Guam (n=271) 58.7 (n=250) 53.2Saipan (n=32) 49.2 (n=42) 42.8Palau (n=14) 50.6 (n=17) 24.9Other Micronesia (n=4) 46.7 (n=4) 45.7Fiji (n=2) ― (n=1) ―Tahiti (n=6) 15.5 (n=4) ―New Caledonia (n=4) ― (n=10) 8.4Maldives (n=18) 22.5 (n=15) 40.8Other Islands in South Pacific of Indian Ocean (n=2) 44.8 (n=6) 46.4Shanghai (n=63) 68.6 (n=62) 75.4Beijing (n=23) 56.2 (n=27) 38.3Other China (n=73) 74.5 (n=56) 70.3Hong Kong (n=158) 62.7 (n=157) 65.0Macau (n=54) 48.0 (n=45) 35.3Taiwan (n=579) 53.1 (n=517) 46.8Korea (n=340) 81.8 (n=472) 77.0Singapore (n=200) 48.5 (n=150) 46.4Phuket (n=37) 37.5 (n=27) 24.2Thai beaches (other than Phuket) (n=27) 69.3 (n=31) 83.9Thailand (other than beach resorts) (n=211) 70.5 (n=212) 76.8Bali (n=86) 37.4 (n=96) 36.0Indonesian beaches (other than Bali) (n=7) 60.5 (n=3) 26.5Indonesia (other than beach resorts) (n=11) 40.8 (n=16) 30.6Malaysian beaches (n=25) 38.8 (n=26) 80.4Malaysia (other than beach resorts) (n=62) 40.0 (n=46) 52.7Cebu Island (n=36) 15.8 (n=39) 23.8Philippine beaches (other than Cebu Island) (n=16) 37.5 (n=8) 75.4Philippines (other than beach resorts) (n=28) 80.1 (n=47) 71.2Vietnam cities (Ho Chi Minh, Hanoi) (n=119) 29.1 (n=132) 27.2Vietnam beaches (n=33) 24.7 (n=12) 26.9Vietnam (other than cities and beach resorts) (n=22) 14.3 (n=11) 24.8Cambodia (n=53) 15.1 (n=72) 10.5India (n=28) 46.6 (n=31) 27.2Sri Lanka (n=12) 16.1 (n=12) 7.5Other placesin Asia (n=24) 57.5 (n=38) 58.9Australia (n=129) 49.8 (n=111) 54.1New Zealand (n=36) 26.8 (n=40) 24.4Other Oceania (n=5) 31.9 (n=3) 16.2

†Reference data for areas with samples of less than 30

Southeast Asia

Other places

in Asia

Oceania

(†1) Percentage of repeat visit to last destination: percentage of those who have been to their last destination a second time or more

China (excluding

Hong Kong and

Macau)

Hong Kong or

Macau

Central/South

America

or

Caribbean

Hawaii

Guam or

Saipan

South Pacific

islands or other

islands

Repeat Rate for Last

Travel Destination in

2016

Repeat Rate for Last

Travel Destination in

2015

Europe

Middle East

or Africa

USA (excluding

Hawaii and Alaska)

Canada or

Alaska

0 20 40 60 80 100

Repeat Rate for Last Travel Destination in 2016

Repeat Rate for Last Travel Destination in 2015

2. Destinations in 2015 (3) (last destination)



（％）

ＴＯＴＡＬ

Sample


Other

countries

in western

Europe

Other

places in

Europe

Middle East

or AfricaTurkey

Other

Middle East

or Africa

USA

(excluding

Hawaii and

Alaska)

USA east USA west USA southCanada or

AlaskaCanada Alaska

2016 survey total 4,802 63.3 33.3 44.4 33.1 26.1 40.0 31.1 25.9 23.8 15.3 17.5 51.3 31.3 40.6 14.8 24.9 24.3 3.0

2015 survey total 5,000 64.1 33.0 45.2 31.3 24.6 40.3 30.0 24.9 22.2 14.2 16.4 50.3 30.6 40.7 14.5 24.8 24.1 2.5

UK 132 100.0 100.0 68.8 43.0 38.9 47.1 43.9 33.8 29.9 15.8 24.2 54.7 37.4 43.1 20.2 28.2 27.4 4.8

France 196 100.0 41.2 100.0 49.9 37.5 51.9 44.1 30.4 26.2 13.7 21.3 44 .0 32.2 35 .1 13.5 18 .7 18 .3 1.9

Germany 150 100.0 44.7 61.8 100.0 42.4 52.5 56.4 41.8 34.4 25.4 23.8 47.7 31.7 39.8 12.3 20.6 20.6 0.5

Spain 121 100.0 54.7 74.2 52.0 100.0 67.9 48.5 36.3 38.2 28.3 26.1 45 .3 32.4 40.7 14.3 28.3 27.5 2.4

Italy 205 100.0 49.7 63.2 48.6 42.6 100.0 44.4 36.3 33.2 21.6 25.9 53.0 35.1 43.4 14.0 28.5 28.0 4.8

Other countries in western Europe 190 100.0 47.0 75.1 64.0 59.7 65.7 100.0 58.4 42.9 34.9 28.8 46 .1 29.5 40.2 13.7 31.2 29.2 3.0

Other places in Europe 167 100.0 62.4 73.5 66.3 55.1 70.0 71.3 100.0 53.5 36.7 45.2 56.4 36.9 48.9 9 .1 44.0 42.8 3.6

Turkey 23 91.7 29.8 43.5 37.5 57.3 58.4 50.8 43.9 100.0 100.0 29.5 53.0 42.5 36.2 4.2 25.6 25.6 ―

Other Middle East or Africa 53 88.1 62.1 64.3 58.7 41.5 55.5 57.0 55.0 100.0 43.3 100.0 55.0 38.5 47.6 20.3 39.3 39.3 2.3

USA east 150 68.1 46.6 48.3 37.1 29.5 40.5 34.4 29.1 20.2 14.2 13.4 100.0 100.0 51.6 23.4 40.0 39.5 5.1

USA west 180 55 .4 41.2 42.5 32.5 20 .3 36.8 26.4 19 .3 20.5 13.0 16.7 100.0 48.6 100.0 30.8 34.3 33.1 5.8

USA south 44 50 .3 22 .8 25 .6 22 .7 13 .0 25 .3 22 .4 12 .5 17 .3 10.7 8 .8 100.0 35.1 44.7 100.0 27.0 27.0 2.8

Canada 73 71.5 43.2 56.1 43.5 37.1 50.3 43.0 40.7 25.5 17.4 20.7 78.7 54.9 58.2 23.7 100.0 100.0 12.9

Central/South America or Caribbean 44 77.0 40.3 58.7 48.1 47.5 54.9 50.9 49.2 53.2 34.8 45.3 69.4 41.3 56.0 31.6 47.4 47.4 14.0

Hawaii (Oahu) 507 49 .2 24 .7 34 .0 23 .6 14 .4 31 .7 19 .4 14 .5 11 .8 6 .3 8 .2 50.2 26.9 41.9 16.3 20.3 19.4 2.4

Hawaii (other than Oahu) 121 48 .6 28.8 30 .2 18 .2 14 .8 28 .9 21 .1 16 .5 12 .4 6 .3 11 .6 48.0 35.7 43.0 17.2 26.8 25.2 5.0

Guam 271 42 .7 21 .1 30 .7 17 .8 13 .3 25 .7 10 .3 10 .8 8 .7 4 .9 6 .1 36 .7 17 .9 28 .9 8 .9 11 .9 11 .5 1.0

Saipan 32 47 .8 32.3 18 .3 13 .4 9 .2 28 .9 15 .1 15 .8 9 .9 3 .8 6 .1 38 .5 17 .6 30 .8 3 .8 12 .4 12 .4 ―

South Pacific islands or other islands 51 41 .3 11 .9 31 .2 25 .3 16 .6 39.4 25 .7 11 .5 34.7 14.7 29.1 46.7 21 .4 38.7 10.9 19 .5 17 .7 1.8

Shanghai 63 42 .8 17 .8 28 .4 18 .5 10 .7 19 .8 12 .1 15 .7 12 .3 9 .2 11 .0 34 .1 19 .3 19 .7 6 .3 13 .0 13 .0 ―

Beijing 23 46.3 19.1 29.9 14.9 9.4 5.4 14.7 10.6 14.8 5.2 14.8 42.0 13.5 32.6 5.4 14.7 14.7 4.1

Other China (exc. Hong Kong / Macau) 73 56 .5 25 .1 41.0 32.8 29.8 35.6 26.2 25.8 33.5 23.5 20.8 45 .9 24 .7 38.5 9 .1 25.7 24.0 4.3

Hong Kong 158 63.4 30.1 44.1 28.6 20 .7 36.2 27.5 21.2 19.1 11.0 14.2 52.1 27.7 41.8 15.6 21.3 20.5 2.1

Macau 54 51 .4 26 .1 36 .2 20 .3 21.6 35.2 22 .6 11 .7 14 .7 11.1 9 .0 52.5 23 .8 44.3 12.2 21.9 21.9 1.8

Taiwan 579 52 .4 26 .0 35 .8 24 .0 17 .5 30 .3 20 .8 18 .0 18 .4 10 .2 12.8 42 .9 25 .0 33 .6 10.0 22.9 22.9 1.7

Korea 340 43 .7 22 .3 30 .5 18 .4 13 .3 26 .3 17 .7 14 .9 13 .7 8 .0 10 .3 42 .3 25 .8 31 .5 10.1 18 .1 18 .1 1.1

Singapore 200 63.8 32.8 43.4 28.4 22.6 38.0 28.9 18 .2 20.8 11.3 15.4 48.6 30.4 38.3 11.1 25.7 24.9 3.8

Phuket 37 55 .5 17 .3 47.1 25 .7 14 .4 27 .5 31.6 17 .6 15 .0 7 .7 15.0 66.5 29.8 57.4 17.5 30.0 30.0 5.7

Thai beaches (other than Phuket) 27 38.6 15.6 22.8 19.1 15.9 19.1 30.6 15.8 11.6 7.9 11.6 55.3 30.4 47.6 20.1 20.0 20.0 ―

Bangkok or other Thai cities 211 49 .5 25 .6 35 .1 31.2 19 .7 30 .9 26.9 20 .7 22.2 16.6 17.1 44 .0 26 .1 35 .3 15.6 21.1 20.7 3.2

Bali 86 43 .4 22 .1 27 .0 17 .8 17 .2 25 .5 25 .1 21.6 27.8 12.9 21.6 44 .6 33.0 32 .4 18.3 16 .9 16 .9 2.2

Indonesian cities 11 65.0 30.5 15.5 30.5 23.1 30.5 21.8 17.7 42.6 8.1 34.5 56.3 42.6 37.3 6.9 25.4 25.4 ―

Malaysia 82 65.4 38.8 49.8 41.2 33.5 46.0 43.5 30.1 26.0 12.8 22.7 54.2 31.7 40.8 26.0 24.7 24.7 5.1

Philippines 77 45 .2 19 .6 30 .7 21 .0 17 .5 23 .6 14 .6 16 .8 15 .9 14.6 9 .9 45 .7 28.3 33 .2 13.6 19 .7 18 .5 3.8

Vietnam 154 57 .8 25 .9 42.4 33.2 25.4 39.1 32.3 26.9 30.9 18.6 21.8 48.0 26 .3 36.5 13.3 22.3 21.7 2.4

Cambodia 53 67.0 19 .1 39 .3 30.4 28.0 35.6 21 .2 21.1 32.8 28.6 10 .2 44 .8 33.3 32 .7 10.1 25.4 23.6 4.1

Other places in Asia 64 71.8 36.5 45.9 42.6 28.2 50.0 40.5 43.1 52.9 48.3 42.7 49.3 32.9 43.5 16.4 23.7 23.7 8.2

Australia 129 63.2 32.7 45.0 37.7 25.7 42.1 27.6 26.9 18.9 10.9 15.7 51.5 37.5 45.3 21.9 24.7 23.8 4.5

New Zealand or other Oceania 41 62.3 32.3 40.7 43.8 26.3 49.3 48.1 30.5 38.8 28.8 24.2 62.4 38.6 51.7 11.3 37.9 36.0 7.1

Sample

Central/

South

America

or

Caribbean

HawaiiHawaii

(Oahu)

Hawaii

(other

than Oahu)

Guam or

SaipanGuam Saipan

South

Pacific

islands or

other

islands

China

(excluding

Hong Kong

and Macau)

Shanghai Beijing

Other

China (exc.

Hong Kong

/ Macau)

Hong Kong

or MacauHong Kong Macau Taiwan Korea

2016 survey total 4,802 14.7 54.2 48.5 28.4 46.7 42.1 20.6 13.6 37.0 26.3 22.0 20.1 41.6 41.0 21.7 48.5 51.4

2015 survey total 5,000 13.9 54.9 49.2 28.1 46.4 42.4 20.2 12.5 36.4 25.6 20.9 19.4 43.8 42.9 23.1 47.8 52.2

UK 132 12.8 43 .7 39 .5 26.9 27 .3 24 .2 11 .2 13.6 35.3 25.8 21.8 21.3 36.8 36.2 17.6 27 .1 34 .8

France 196 16.8 39 .3 33 .5 24.2 30 .7 24 .4 13 .2 12.6 31 .4 22.6 17.1 17.3 31 .5 30 .9 14 .1 32 .0 35 .3

Germany 150 15.4 39 .5 34 .4 21 .6 34 .8 31 .6 11 .2 9.8 32.9 18 .6 24.3 15.8 35 .4 34 .9 19.0 37 .0 39 .4

Spain 121 16.8 49 .1 44.4 23 .4 35 .5 29 .6 18.8 11.3 37.5 29.2 24.9 24.2 40.8 40.0 21.7 44.1 47.1

Italy 205 15.0 53.0 46.6 30.2 40 .8 36 .3 17.3 11.4 41.3 31.6 24.3 19.2 37.4 36.9 26.2 45.1 51.5

Other countries in western Europe 190 18.6 47 .3 40 .6 27.6 29 .4 24 .4 12 .5 9.7 45.6 32.0 27.3 25.1 45.2 44.8 20.3 47.4 51.5

Other places in Europe 167 21.3 48 .5 43 .0 31.8 36 .2 30 .2 14 .7 10.6 49.7 36.7 30.5 30.2 48.2 48.2 22.9 54.4 54.2

Turkey 23 13.6 30.2 25.9 26.3 36.2 36.2 13.4 13.5 54.0 40.6 28.1 41.6 49.9 45.6 40.7 48.8 41.7

Other Middle East or Africa 53 38.4 47 .1 39 .2 32.8 43.5 39.8 18.6 16.2 53.5 39.8 44.0 38.3 51.2 51.2 27.8 43 .5 59.4

USA east 150 17.5 50.3 45.2 26.2 37 .3 34 .4 17.4 10.7 34.6 22.9 19.8 13 .0 38.5 38.5 15 .3 34 .3 40 .9

USA west 180 21.1 51.4 49.5 30.3 44.6 38.7 21.4 13.0 29 .2 20 .7 18.0 15 .1 38.6 36.9 22.2 35 .2 42 .5

USA south 44 26.3 47 .4 40 .9 26.8 51.3 49.2 35.2 15.1 27 .3 19 .4 22.3 15 .1 31 .9 31 .9 13 .9 23 .2 26 .7

Canada 73 28.6 49.4 39 .8 33.8 30 .4 27 .7 10 .3 7 .7 25 .7 18 .6 13 .6 19.0 37.5 37.5 20.7 37 .5 36 .8

Central/South America or Caribbean 44 100.0 41 .2 38 .9 25.3 49.7 45.3 26.6 18.5 57.0 28.3 39.2 40.9 32 .4 30 .7 22.9 45.7 47.4

Hawaii (Oahu) 507 9 .0 100.0 100.0 42.1 57.3 52.6 26.4 11.8 24 .9 17 .2 13 .0 11 .2 34 .2 33 .8 13 .2 33 .7 40 .4

Hawaii (other than Oahu) 121 17.3 100.0 57.3 100.0 49.7 47.5 25.2 14.5 30 .6 20 .8 17.6 15.2 34 .1 34 .1 14 .3 30 .2 38 .4

Guam 271 5 .7 53.7 47.2 24.3 100.0 100.0 31.1 18.6 24 .8 18 .0 11 .2 11 .1 32 .9 32 .2 15 .0 30 .2 45 .9

Saipan 32 6 .3 41 .4 32 .2 26.2 100.0 47.1 100.0 23.1 22 .5 16 .1 18.7 6 .8 22 .9 22 .9 3 .2 22 .4 21 .6

South Pacific islands or other islands 51 27.0 50.8 46.4 17 .7 51.3 45.1 36.4 100.0 28 .1 14 .8 11 .5 7 .1 32 .7 32 .7 16 .7 20 .9 34 .9

Shanghai 63 7 .0 29 .0 22 .3 14 .6 32 .5 32 .5 6 .6 10.0 100.0 100.0 46.9 32.8 49.5 49.5 25.8 39 .2 46 .3

Beijing 23 10.6 51.6 36.5 23.4 30.7 20.1 26.7 4.1 100.0 38.0 100.0 29.5 39.4 39.4 21.5 48.3 46.3

Other China (exc. Hong Kong / Macau) 73 18.7 39 .5 31 .5 25.0 36 .5 32 .2 15 .1 4 .4 100.0 67.9 59.2 100.0 69.2 69.2 37.4 52.9 56.2

Hong Kong 158 12.1 49 .2 45.7 26.1 42.5 39.9 18.7 12.2 42.4 27.5 21.0 28.9 100.0 100.0 57.9 56.1 57.6

Macau 54 8 .1 39 .0 39 .0 11 .7 34 .9 34 .9 9 .4 9.0 43.6 23.8 18.9 30.7 100.0 91.1 100.0 48.9 56.5

Taiwan 579 10.4 48 .8 43 .5 23.6 41 .7 38.7 16.8 10.9 35.8 23.4 21.5 17.5 43.0 41.9 22.7 100.0 55.4

Korea 340 10.2 43 .5 36 .7 24.2 40 .4 37.4 17.2 10.8 30 .4 21.4 15 .9 14 .5 36 .2 36.2 18.5 40 .4 100.0

Singapore 200 14.1 48 .4 44.1 27.2 48.3 44.8 19.1 12.2 34.8 25.8 20.8 18.7 46.4 45.8 22.3 45.4 51.6

Phuket 37 25.2 50.5 50.5 30.6 52.1 44.1 35.2 28.4 37.3 21.5 19.6 16.9 32 .4 29 .7 10 .6 38 .5 49.6

Thai beaches (other than Phuket) 27 15.0 61.4 57.0 28.9 54.6 54.6 23.8 15.8 47.1 30.3 20.1 35.9 43.9 43.9 15.8 45.2 63.7

Bangkok or other Thai cities 211 13.0 45 .6 40 .2 19 .6 43.0 38.3 19.9 12.2 41.7 25.5 27.5 29.3 46.5 45.1 26.4 50.0 55.6

Bali 86 20.5 52.7 49.0 28.9 54.8 46.2 30.7 24.4 26 .9 21 .2 12 .7 12 .8 33 .0 31 .6 14 .4 35 .8 38 .6

Indonesian cities 11 22.4 54.6 47.7 39.6 21.3 13.2 8.1 23.6 57.3 57.3 24.1 50.5 65.5 65.5 25.9 63.7 43.1

Malaysia 82 15.2 53.4 49.5 28.3 47.3 41.4 26.9 22.4 49.6 39.6 32.7 33.0 52.9 52.9 37.1 58.4 61.1

Philippines 77 12.8 53.7 50.9 21 .7 63.5 52.2 40.0 22.5 34.5 27.5 20.9 18.7 38.2 38.2 20.9 36 .5 38 .5

Vietnam 154 14.2 48 .2 41 .8 25.0 44.2 36 .5 19.5 7 .8 44.7 36.2 33.7 23.1 49.0 47.6 30.9 71.2 64.6

Cambodia 53 12.9 43 .1 41 .2 16 .6 45.6 41.5 12 .0 4 .1 41.0 31.3 28.5 24.8 36 .3 36.3 32.6 53.8 55.8

Other places in Asia 64 35.8 38 .0 36 .1 17 .2 35 .0 25 .7 21.5 21.8 64.3 51.0 44.9 51.6 59.2 59.2 41.1 66.3 65.6

Australia 129 15.9 52.6 49.3 31.0 46.8 44.4 24.6 18.3 39.8 29.8 27.9 18.3 35 .5 34 .8 16 .7 39 .9 44 .3

New Zealand or other Oceania 41 15.0 45 .9 35 .6 30.5 47.8 39.6 23.3 14.0 39.6 32.4 27.4 20.3 28 .8 28 .8 14 .9 41 .0 35 .3

Sample

Southeast


Thai

beaches

(other

than

Phuket)

Bangkok or

other Thai

cities

Bali

Indonesian

beaches

(other

than Bali)

Indonesian


Other

places in

Asia

Oceania Australia

New

Zealand or

other

Oceania

2016 survey total 4,802 64.9 38.8 12.6 9.4 31.1 21.6 4.3 9.0 22.6 13.6 21.8 14.2 13.0 38.5 34.7 12.9

2015 survey total 5,000 63.9 37.8 11.9 9.5 30.6 21.1 4.6 8.3 21.9 13.4 20.9 13.3 12.4 37.5 33.3 12.8

UK 132 45 .5 28 .9 6 .8 5.7 21 .8 16.8 5.2 6.0 14 .2 9.2 13 .2 7 .9 4 .7 36.4 31.4 16.8

France 196 48 .0 26 .1 8.2 6.8 21 .8 11 .2 3.0 6.5 14 .5 8 .3 12 .2 6 .9 8 .0 31 .8 26 .0 14.3

Germany 150 56 .8 31 .3 8.6 7.7 28.7 14 .3 2.3 6.2 12 .5 6 .8 17.4 13.3 11.6 33 .0 26 .3 15.9

Spain 121 61.6 35.6 14.9 8.9 33.0 16 .1 5.5 7.4 19.7 6 .4 21.2 15.0 15.6 39.1 35.9 15.6

Italy 205 63.6 40.1 12.1 4 .1 20 .8 21.1 4.2 9.3 19.1 7 .3 20.9 14.9 14.3 44.7 41.7 17.4

Other countries in western Europe 190 66.0 39.8 7 .4 7.0 30.5 22.4 4.1 12.8 23.2 11.9 30.7 25.3 19.4 37.0 32.5 15.6

Other places in Europe 167 70.4 44.7 7 .2 7.2 34.8 25.3 7.7 15.0 28.8 12.3 31.3 24.2 21.7 52.3 48.0 19.4

Turkey 23 61.7 39.6 12.4 4.2 48.0 31.3 8.1 16.7 30.4 17.9 40.7 22.0 35.4 28.4 28.4 12.6

Other Middle East or Africa 53 74.2 54.9 9.3 12.0 45.0 30.4 11.7 20.0 34.6 25.8 42.5 24.4 45.3 40.5 38.7 14.8

USA east 150 53 .3 35.2 9.0 8.1 16 .3 11 .3 3.3 6.9 21.1 7 .5 15 .3 10.4 6 .9 40.5 37.6 16.2

USA west 180 56 .4 36.9 11.7 10.0 26.7 16.7 2.0 7.1 22.8 10.4 18.7 10.4 8.5 40.5 38.5 10.6

USA south 44 51 .7 30 .6 26.4 9.5 16 .1 22.3 4.3 7.9 17 .2 11.8 6 .5 8 .8 5 .1 48.0 43.6 12.4

Canada 73 48 .7 33 .6 6 .0 2 .8 23 .7 16.9 2.7 10.1 21.7 14.9 13 .3 12.3 12.2 44.1 41.3 14.8

Central/South America or Caribbean 44 79.8 42.5 15.6 15.8 49.1 27.2 4.9 12.5 29.6 17.1 31.9 41.4 32.5 50.9 46.5 25.1

Hawaii (Oahu) 507 51 .1 29 .8 9.0 5.5 19 .6 17.9 1.6 3 .2 12 .0 9.8 10 .1 3 .8 4 .3 32 .4 29 .7 8.1

Hawaii (other than Oahu) 121 45 .3 31 .4 8.8 3 .9 21 .9 18.2 1.8 4.7 15 .7 14.2 14 .4 8 .9 7 .0 37.0 34.2 11.3

Guam 271 48 .9 25 .1 10.6 5.9 21 .4 21.4 3.6 5.9 10 .4 8 .0 6 .2 3 .7 4 .9 31 .5 28 .5 8.6

Saipan 32 44 .4 20 .0 5 .9 12.5 14 .0 21.7 ― 3 .8 6 .2 12.5 12 .3 7 .0 5 .6 27 .3 24 .4 6 .8

South Pacific islands or other islands 51 66.8 31 .8 15.4 17.6 19 .1 32.2 8.0 6.3 21.8 30.0 5 .3 7 .8 7 .5 40.1 31.0 12.8

Shanghai 63 51 .3 25 .0 10.9 12.1 22 .8 12 .7 4.7 12.9 32.4 11.9 19.1 15.7 16.5 18 .6 18 .6 4 .4

Beijing 23 56.9 36.5 10.6 4.1 28.6 13.6 4.1 14.9 9.5 13.6 5.2 ― 9.6 17.9 17.9 4.4

Other China (exc. Hong Kong / Macau) 73 68.2 38.9 10.7 4 .4 39.1 15 .1 8.4 9.7 31.2 7 .3 26.2 18.9 21.5 27 .8 26 .5 10.6

Hong Kong 158 64.5 43.0 11.4 9.3 32.4 16 .0 4.2 7.4 22.0 13.2 19.0 14.1 11.4 36.9 34.1 10.5

Macau 54 66.8 41.3 14.8 9.3 23 .8 9 .3 6.3 7.2 23.8 16.8 25.3 15.4 12.1 36.3 36.3 5 .3

Taiwan 579 59 .8 34.3 8.7 5.6 29.0 17.1 2.7 6.7 18.9 9.8 20.4 10.8 10.6 34.0 30.2 11.9

Korea 340 49 .5 32 .7 7.9 5.8 20 .9 13 .9 2.8 6.0 16 .6 11.1 14 .2 8 .8 10.0 29 .7 28 .4 6 .5

Singapore 200 100.0 100.0 11.9 7.1 30.1 20.2 5.6 10.1 32.0 10.3 17.6 11.6 8.8 39.9 37.3 10.7

Phuket 37 100.0 39.9 100.0 35.0 47.9 54.3 10.5 18.6 52.4 29.3 44.1 20.5 18.8 43.0 43.0 2 .7

Thai beaches (other than Phuket) 27 100.0 47.6 39.5 100.0 72.8 36.0 7.9 23.7 44.6 29.1 33.4 33.6 22.8 31.6 28.1 7.8

Bangkok or other Thai cities 211 100.0 47.2 24.7 32.3 100.0 24.8 7.0 16.3 31.9 27.9 31.5 28.6 25.7 37.0 34.6 12.1

Bali 86 100.0 49.3 25.7 13.3 30.4 100.0 12.7 16.3 32.2 20.5 22.1 15.9 13.4 40.1 38.7 8.5

Indonesian cities 11 100.0 67.3 21.8 8.1 65.5 30.5 24.2 100.0 39.1 14.5 30.9 25.9 48.7 37.4 30.5 22.4

Malaysia 82 100.0 54.6 20.7 14.2 46.4 38.4 12.1 16.2 100.0 19.4 39.5 17.8 21.0 43.5 38.3 19.0

Philippines 77 100.0 45.7 16.4 13.5 36.1 35.2 8.8 14.6 29.1 100.0 22.9 17.8 22.7 42.7 35.8 16.6

Vietnam 154 100.0 47.2 19.5 14.1 49.2 31.4 6.0 14.6 35.8 14.4 100.0 24.2 15.1 34.7 30.7 11.7

Cambodia 53 100.0 41.6 16.1 16.6 55.6 26.2 4.6 14.7 26.8 17.0 52.1 100.0 20.7 46.9 44.6 14.8

Other places in Asia 64 78.4 53.1 16.8 15.2 63.2 32.6 10.9 20.2 40.3 19.6 55.7 57.3 100.0 36.4 31.0 17.8

Australia 129 59 .4 38.7 18.3 11.6 22 .7 17.4 5.8 12.9 24.1 17.8 15 .9 9.9 7 .8 100.0 100.0 21.3

New Zealand or other Oceania 41 66.4 37.6 14.4 10.3 29.4 30.1 6.5 10.9 23.4 7 .7 24.4 20.7 21.4 100.0 47.7 100.0

50.0 …Figures 5 or more points or higher than the 2016 survey total are shaded. † Items with under 30 samples are not shaded in the table.

50 .0 …Figures 5 or more points or lower than the 2016 survey total are shaded. † Items with under 10 samples are not indicated in the table.



Last

destination

(middle

classification)

Last

destination

(middle

classification)

Last

destination

(middle

classification)


20

【Reference】 Overseas destinations ever visited

■Overseas destinations ever visited: last destination in 2015 (Total/Multiple answers)



21

■Triggers for overseas travel in 2015 (Total/Multiple answers)

3. Triggers for Overseas Travel in 2015

Sample

Invi

ted

by fam

ily (fa

mily

trip)

As

an a

nnual

eve

nt

(one r

egu

lar

ove

rseas

trip

)

Was

abl

e t

o g

et

an e

xtende

d holid

ay

Invi

ted

by friend/

acqu

ainta

nce/colle

ague

(tra

vel o

ther

than

gra

duat

ion t

rip

or

em

ploye

e t

rip)

Hav

e fam

ily/re

lative

/fr

iend/

acqu

ainta

nce

to s

ee t

here

Sav

ed

up

the m

oney

to b

e a

ble t

o a

fford

ove

rseas

tra

vel

Hobb

ies

or

sport

s

Holid

ay c

alenda

r w

ork

ed

out

well

at t

he

tim

e o

f tr

avel

Sav

ed

up

mile

s, m

iles

on t

he v

erg

e o

f

exp

irin

g

Invi

ted

by friend/

acqu

ainta

nce/colle

ague

(gra

duat

ion t

rip,

em

ploye

e t

rip,

etc

.)

Mar

riag

e (ow

n o

r so

mebo

dy a

round

me)

Serv

ice b

y LC

C (lo

w c

ost

car

rier)

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2016 survey total 4,802 22.1 20.9 17.7 11.3 9.7 8.2 8.0 7.5 5.8 5.0 5.0 4.3 4.1 4.0 3.8 3.4 3.1 2.8 2.3 2.2 1.9 1.6 1.3 1.0 0.6 0.3 0.3 0.3 3.4 9.7

2015 survey total 5,000 * 29.4 25.4 * 15.2 17.1 12.2 11.6 7.3 * 5.7 4.0 4.5 * 6.0 5.6 * 4.7 1.9 4.8 2.0 1.8 1.9 0.8 * 0.6 0.2 0.3 6.5 10.1

Male 2,457 19.3 20.6 18.8 8.9 8.6 9.1 9.1 7.1 7.5 5.1 4.4 5.2 5.3 3.6 3.7 3.7 3.5 2.5 3.4 2.0 1.5 2.3 1.1 1.1 0.5 0.4 0.3 0.3 2.8 11.0

Female 2,345 25.1 21.2 16.5 13.9 10.9 7.2 6.8 7.8 4.0 5.0 5.6 3.4 2.8 4.5 4.0 3.1 2.7 3.2 1.3 2.3 2.3 0.9 1.5 0.8 0.7 0.2 0.4 0.2 4.1 8.2

Male 18-29 yrs 341 11 .8 9 .1 17.7 10.1 4 .4 7.8 9.1 5.1 2.3 12.2 15.4 5.5 7.2 7.2 3.2 3.6 2.5 1.9 1.5 1.7 1.7 0.2 ― 3.4 0.6 1.1 0.6 0.6 2.9 10.9

Male 30-39 yrs 475 17.5 14 .1 26.8 8.0 7.0 8.2 8.9 9.9 6.3 3.0 8.0 5.7 8.9 5.3 4.4 3.6 4.0 2.7 4.6 3.4 3.4 0.2 1.1 1.1 1.3 0.8 0.8 0.4 0.8 11.8

Male 40-49 yrs 580 21.0 22.0 26.3 8.7 6.4 10.6 9.8 8.9 11.2 4.8 1.5 6.0 5.0 2.5 3.5 2.7 3.1 2.3 4.1 3.1 1.7 0.2 0.6 1.0 0.2 0.4 0.2 0.4 2.9 9.3

Male 50-59 yrs 465 21.6 21.2 16.9 6.5 10.4 8.0 9.2 7.8 8.6 4.7 0.8 5.7 4.1 2.2 4.3 2.9 2.2 2.7 2.2 1.4 1.0 0.6 1.6 0.8 ― 0.2 ― 0.2 3.5 12.7

Male 60 yrs or older 596 21.7 30.6 7 .2 10.7 13.0 9.9 8.7 3.9 6.8 3.5 1.0 3.3 2.5 2.3 3.3 5.6 5.0 2.9 3.5 0.6 ― 8.7 1.7 0.2 0.4 ― ― ― 3.7 10.7

Female 18-29 yrs 573 21.8 9 .5 16.2 19.0 9.9 8.4 6.9 7.8 1.5 11.2 12.5 5.4 3.2 6.9 4.7 2.6 1.7 2.2 0.4 2.4 6.0 ― 0.4 2.2 1.1 0.2 0.2 0.4 4.7 7.8

Female 30-39 yrs 483 21.6 19.2 25.8 8.9 10.5 6.6 7.0 7.6 3.3 3.9 9.7 3.7 4.5 5.2 5.2 1.6 3.1 3.3 1.2 2.3 2.3 ― 0.6 0.8 1.4 0.2 0.8 0.4 2.3 7.6

Female 40-49 yrs 434 23.5 24.3 19.5 10.4 10.4 6.8 8.2 12.9 6.8 1.7 0.6 3.8 2.1 3.2 5.3 3.8 2.1 3.4 1.7 3.2 1.1 0.2 1.5 0.4 0.6 0.6 0.2 ― 5.1 8.7

Female 50-59 yrs 378 29.6 25.7 15.6 12.1 10.9 8.6 5.1 7.4 6.4 1.6 1.4 3.3 2.3 4.1 2.9 3.7 2.5 4.1 1.6 2.1 0.6 1.8 3.9 ― ― 0.2 0.2 ― 4.3 7.8

Female 60 yrs or older 478 30.3 30.7 5 .3 17.6 12.9 5.7 6.6 3.7 3.5 4.1 0.8 0.6 1.6 2.3 1.4 4.3 4.1 3.3 1.6 1.6 0.2 2.7 1.8 ― ― ― 0.4 0.2 4.1 9.4

Kanto 3,021 22.8 21.3 18.1 10.9 9.3 8.2 8.1 7.4 6.2 4.8 4.5 3.6 4.3 3.9 4.1 3.8 3.3 2.7 2.4 2.4 1.8 1.7 1.2 1.1 0.5 0.5 0.4 0.3 3.3 9.9

Kansai 1,150 21.2 19.1 16.9 12.4 9.7 8.2 8.4 7.5 4.7 5.8 5.7 6.2 3.8 4.9 3.5 3.1 2.4 3.1 2.6 1.6 2.2 1.4 1.2 0.9 0.5 0.1 0.1 0.1 3.5 9.2

Tokai 631 20.4 22.3 16.8 11.4 11.7 8.2 6.7 7.6 5.8 4.8 6.0 4.1 3.3 3.2 3.4 2.5 3.5 2.9 1.8 2.3 1.4 1.7 1.9 0.5 1.0 0.3 0.6 0.3 4.0 9.2

Worker (child 7 yrs and over) 1,813 30.4 24.8 10 .8 9.6 11.3 8.3 6.0 5.9 5.7 3.7 1.0 3.3 3.2 2.8 3.0 4.1 3.8 4.1 2.2 1.4 0.7 3.7 2.6 0.3 0.3 0.3 0.2 0.2 3.8 9.4

Worker (child 2-6 yrs) 231 33.0 12 .4 25.7 7.4 10.3 9.8 6.2 6.4 7.5 2.8 0.9 6.7 11.1 3.8 3.2 1.0 3.4 5.4 2.7 2.6 2.2 ― 2.2 0.8 1.3 0.8 0.4 0.7 2.8 8.8

Worker (child 1 yr and under) 116 23.0 12 .3 14.7 3 .7 7.7 2 .6 4.7 4.7 3.8 3.0 24.4 3.0 9.1 3.4 4.4 2.6 4.3 4.5 4.4 2.7 4.7 1.0 1.9 1.7 1.1 0.9 0.9 1.1 3.6 9.5

Worker (married, no children) 995 21.1 23.0 21.7 6 .2 7.1 5.5 7.8 7.3 5.8 2.3 18.1 3.6 4.1 2.4 3.2 3.2 2.1 2.5 2.5 2.3 1.4 0.5 ― 0.6 0.5 0.4 0.7 0.1 2.7 8.9

Worker (unmarried) 1,455 10 .6 18.1 23.8 17.1 9.3 9.7 10.9 10.0 6.4 8.0 0.7 5.5 3.7 6.3 5.5 3.3 3.0 1.3 2.4 2.9 3.1 0.3 0.4 1.7 0.8 0.3 0.3 0.3 3.2 10.1

Unmarried male 772 7 .8 17.8 24.4 13.7 8.0 10.9 11.9 9.0 8.4 8.3 0.8 6.7 5.3 6.2 4.1 3.8 3.7 1.1 3.6 2.5 1.6 0.4 0.3 1.9 0.6 0.4 0.2 0.3 3.1 12.0

Unmarried female 20s/30s 624 18.3 13 .9 19.8 20.9 10.7 9.5 9.1 9.7 2.1 11.5 0.5 5.2 2.3 7.8 6.1 2.6 1.8 1.4 0.7 3.2 5.6 ― ― 2.4 1.1 0.2 0.4 0.4 3.4 8.9

Unmarried female 40s and over 247 9 .7 23.2 18.8 19.8 12.0 7.7 11.7 10.9 6.9 2.6 ― 3.5 2.2 3.3 6.5 3.2 2.6 0.7 1.5 2.3 1.8 0.4 1.8 0.4 0.4 0.4 0.4 ― 5.7 10.1

Student 192 23.4 9 .2 7 .0 19.2 12.0 10.6 9.6 6.4 1.0 13.3 0.5 6.7 3.6 7.0 2.9 3.1 1.5 ― ― 1.7 3.4 ― ― 3.4 ― 0.4 ― ― 6.7 13.8

Light 786 17.2 3 .8 11 .3 10.4 5.4 7.8 6.3 3.6 1.3 9.4 14.5 4.0 6.1 6.0 3.3 1.8 1.6 2.6 1.4 3.3 3.4 1.1 1.5 1.4 0.2 0.4 0.5 0.5 5.0 9.8

Middle 1,235 24.1 11 .5 18.7 12.7 8.3 8.4 5.8 8.0 2.8 5.3 4.9 2.8 3.4 4.6 4.6 3.8 2.9 3.1 1.2 2.1 1.8 2.0 1.8 1.3 0.6 0.3 0.4 0.2 3.2 9.1

Heavy 2,782 22.7 29.9 19.0 11.0 11.6 8.2 9.4 8.3 8.4 3.7 2.3 5.1 3.8 3.2 3.7 3.7 3.6 2.8 3.1 1.9 1.5 1.6 1.0 0.7 0.7 0.3 0.3 0.2 3.1 9.9




† In the last survey, the results of "Saved up the money so that I could afford it" were indicated as the results of having asked "Saved up the money to be able to afford overseas travel"

and the results of "Service by LCC (low cost carrier)" were indicated as the results of asking "Service by LCC (low cost carriers)."

Sex

Sex & age

Area of

residence

Life

stage

Number

of

trips taken

0

10

20

30

40

2016 survey total

2015 survey total

（％）



22

■Style of travel (Total/Single answer)

Sample

Married

couple

travel

Travel alone

Family travel

(with

children)

With friend

(alone)

With friends

(3 or more)

Family travel

(with

parents)

Couple

travel

Family

travel (3

generations)

Other

Travel with

children/

total

2016 survey total 4,802 29.3 16.4 14.0 12.0 9.8 6.5 4.3 3.0 4.6 17.1

2015 survey total 5,000 30.4 15.1 13.4 11.1 10.3 6.1 5.0 3.1 5.5 16.6

Male 2,457 32.1 20.8 13.3 7 .0 10.3 4.3 5.5 2.7 4.0 16.0

Female 2,345 26.3 11.9 14.8 17.3 9.3 8.7 3.1 3.4 5.2 18.2

Male 18-29 yrs 341 19 .2 19.8 1 .3 8.8 19.6 11.4 12.8 1.5 5.7 2 .7

Male 30-39 yrs 475 23 .2 23.0 13.7 8.4 9.9 5.7 8.2 3.8 4.0 17.5

Male 40-49 yrs 580 22 .0 27.0 20.5 6 .8 7.7 5.0 3.9 2.3 4.8 22.8

Male 50-59 yrs 465 35.1 18.8 20.6 5 .5 9.6 1 .0 4.7 1.2 3.5 21.8

Male 60 yrs or older 596 54.1 15.1 7 .2 6 .0 8.5 1 .2 1.2 3.9 2.7 11 .2

Female 18-29 yrs 573 15 .5 9 .9 2 .6 28.0 14.4 16.4 5.4 1.9 5.8 4 .5

Female 30-39 yrs 483 26.0 14.0 12.8 14.6 7.0 12.6 4.5 3.3 5.2 16.1

Female 40-49 yrs 434 23 .7 15.6 25.6 15.2 4 .7 7.2 2.5 3.0 2.5 28.5

Female 50-59 yrs 378 30.8 10 .1 23.4 11.5 8.8 4.3 1.2 3.9 6.0 27.3

Female 60 yrs or older 478 38.3 10 .0 14.8 13.7 10.2 0 .2 0.8 5.3 6.6 20.1

Kanto 3,021 30.7 16.8 14.2 11.1 9.2 6.2 4.9 2.9 4.1 17.1

Kansai 1,150 25.5 15.4 14.2 14.2 11.0 7.6 3.4 3.3 5.4 17.5

Tokai 631 29.5 16.3 13.0 12.7 11.0 5.4 3.4 3.3 5.4 16.3

Worker (child 7 yrs and over) 1,813 35.3 10 .4 27.5 6 .8 8.4 1 .4 1.1 5.0 4.1 32.5

Worker (child 2-6 yrs) 231 5 .7 9 .0 57.5 2 .3 9.1 2.3 1.3 9.9 3.0 67.4

Worker (child 1 yr and under) 116 45.8 6 .8 21.7 5 .4 4 .3 5.5 ― 8.5 2.1 30.2

Worker (married, no children) 995 69.9 7 .3 0 .2 6 .6 4 .1 6.0 2.4 0.7 2.8 0 .9

Worker (unmarried) 1,455 0 .2 32.2 0 .9 23.3 14.4 11.4 10.7 0.6 6.4 1 .5

Unmarried male 772 0 .1 40.7 0 .4 13.1 16.1 9.9 13.1 0.4 6.2 0 .8

Unmarried female 20s/30s 624 0 .3 17.1 0 .7 32.0 16.7 17.9 7.1 1.1 7.1 1 .9

Unmarried female 40s and over 247 ― 31.4 2 .9 30.6 10.2 10.4 6.1 1.8 6.7 4 .7

Student 192 0 .5 16.2 1 .2 19.8 22.9 25.2 2.6 3.2 8.5 4 .4

Light 786 27.6 12.6 8 .7 14.3 15.1 7.9 4.5 3.1 6.1 11 .8

Middle 1,235 26.3 12.5 15.7 13.4 11.0 7.7 5.6 2.5 5.4 18.2

Heavy 2,782 31.1 19.2 14.8 10.8 7.8 5.5 3.7 3.2 3.8 18.0



† "Travel with children/total" is the sum of "Family travel (with children)" and "Family travel (3 generations)."

Sex

Life

stage

Sex & age

Number

of

trips taken

Area of

residence

0

10

20

30

40

2016 survey total 2015 survey total

（％）

4. Style of Travel



23

■Number of accompanying travelers (Total/Single answer)

Sample

Alone 2 3 4 5 or more2016

survey

2015

survey

2015comparison(difference)

2016 survey total 4,802 17.0 52.1 11.5 8.8 10.6 3.1 ▲ 0.1

2015 survey total 5,000 15.6 53.3 12.0 9.0 10.0 3.2

Male 2,457 21.1 46 .9 10.9 9.2 11.9 3.3 3.3 0.0

Female 2,345 12.6 57.6 12.2 8.3 9.3 2.9 3.1 ▲ 0.2

Male 18-29 yrs 341 20.0 44 .2 9.9 8.6 17.3 4.4 4.1 0.3

Male 30-39 yrs 475 23.0 42 .0 12.9 10.8 11.4 2.9 3.4 ▲ 0.5

Male 40-49 yrs 580 27.4 35 .5 13.7 11.8 11.6 3.6 3.1 0.5

Male 50-59 yrs 465 19.2 48.8 12.7 9.6 9.8 3.4 3.4 0.0

Male 60 yrs or older 596 15.7 62.0 6 .0 5.4 11.0 2.7 2.9 ▲ 0.2

Female 18-29 yrs 573 11 .2 59.3 11.2 7.5 10.8 3.4 4.1 ▲ 0.7

Female 30-39 yrs 483 14.4 54.4 14.6 8.5 8.0 2.8 2.7 0.1

Female 40-49 yrs 434 16.1 50.3 14.4 11.2 8.0 2.6 3.1 ▲ 0.5

Female 50-59 yrs 378 11 .1 58.1 14.6 9.2 7.0 2.7 2.5 0.2

Female 60 yrs or older 478 10 .7 65.0 7.0 5.7 11.7 3.0 3.1 ▲ 0.1

Kanto 3,021 17.3 52.9 11.8 8.4 9.7 3.0 3.1 ▲ 0.1

Kansai 1,150 16.1 49.9 11.3 10.1 12.6 3.6 3.4 0.2

Tokai 631 17.3 52.4 10.7 8.2 11.4 3.1 3.3 ▲ 0.2

Worker (child 7 yrs and over) 1,813 11 .0 51.1 14.1 11.9 12.0 3.2 3.2 0.0

Worker (child 2-6 yrs) 231 9 .3 10 .5 35.6 18.0 26.5 3.9 5.2 ▲ 1.3

Worker (child 1 yr and under) 116 6 .8 53.7 16.9 9.8 12.9 3.8 3.2 0.6

Worker (married, no children) 995 7 .4 82.5 3 .7 2 .2 4 .1 2.3 2.3 0.0

Worker (unmarried) 1,455 32.9 41 .7 9.4 7.0 9.0 3.1 3.0 0.1

Unmarried male 772 41.0 30 .3 8.0 8.5 12.2 3.6 3.2 0.4

Unmarried female 20s/30s 624 18.6 50.6 11.9 8.8 10.1 3.5 4.0 ▲ 0.5

Unmarried female 40s and over 247 32.1 48.0 9.2 4.0 6.8 2.5 2.9 ▲ 0.4

Student 192 17.4 32 .6 12.7 14.6 22.6 5.7 6.5 ▲ 0.8

Light 786 12.9 51.1 11.0 9.1 15.9 4.3 4.7 ▲ 0.4

Middle 1,235 13.0 52.7 13.5 10.2 10.7 3.2 3.5 ▲ 0.3

Heavy 2,782 19.9 52.2 10.8 8.1 9.0 2.8 2.7 0.1



Number

of

trips taken

Average (people)

Sex

Sex & age

Area of

residence

Life

stage

0

20

40

60

2016 survey total

2015 survey total

（％）

5. Number of Accompanying Travelers



49,999

yen

or less

50,000-

99,999

yen

100,000-

149,999

yen

150,000-

199,999

yen

200,000-

299,999

yen

300,000-

399,999

yen

400,000

yen

or more

No ans.

●Legend

2016 survey total (n=3,979) 17.9

2015 survey total (n=4,198) 18.2

Sex Male (n=2,047) 18.1 18.2

Female (n=1,932) 17.8 18.2

Sex & age Male 18-29 yrs (n=278) 16.5 17.8

Male 30-39 yrs (n=417) 15.4 16.1

Male 40-49 yrs (n=483) 15.8 15.6

Male 50-59 yrs (n=380) 18.1 17.9

Male 60 yrs or older (n=489) 23.4 22.8

Female 18-29 yrs (n=472) 14.7 15.9

Female 30-39 yrs (n=422) 15.8 16.0

Female 40-49 yrs (n=378) 16.2 17.2

Female 50-59 yrs (n=316) 18.9 19.4

Female 60 yrs or older (n=345) 25.2 25.1

Area of

residenceKanto (n=2,517) 18.2 18.4

Kansai (n=935) 17.9 17.8

Tokai (n=526) 16.9 17.9

Accompanying

travelerTravel alone (n=1,429) 20.7 16.0

Couple travel (n=196) 15.7 16.2

Married couple travel (n=105) 17.4 23.3

With friend (alone) (n=862) 19.1 13.2

With friends (3 or more) (n=1,250) 14.9 13.2

Family travel (with children) (n=652) 15.2 17.2

Family travel (with parents) (n=515) 12.9 17.6

Other (n=217) 18.1 18.5

Life

stageWorker (child 7 yrs and over) (n=135) 13.6 20.1

Worker (child 2-6 yrs) (n=769) 17.5 14.1

Worker (child 1 yr and under) (n=191) 15.2 14.0

Worker (married, no children) (n=1,222) 22.8 21.4

Worker (unmarried) (n=507) 13.2 15.1

Unmarried male (n=305) 12.3 15.5

Unmarried female 20s/30s (n=641) 17.0 13.9

Unmarried female 40s and over (n=227) 17.0 15.4

Student (n=116) 16.5 12.7

Long distance (n=1,323) 28.0 28.2

Medium distance (n=1,412) 17.3 17.9

Short distance (n=1,277) 8.1 8.0

† Travel expenses refer to:　

† The average was tabulated without "No ans."

Distance of

the last

destination

Those who went on package tours: The total amount paid for one adult, including all miscellaneous expenses (airport tax, local taxes, fuel surcharge, insurance, etc.) Those who went on travel other than package tours : Air ticket expenses for one adult (including various expenses) + expenses for hotels and accommodation

facilities for one adult (the total amount if answered separately)

2016

survey

Average

(tens of

1000s

of yen)

2015

survey

Average

(tens of

1000s

of yen)

12.8％

12.5

12.0

13.6

16.3

10.8

15.2

11.2

7.8

17.8

15.6

15.0

11.1

6.3

11.6

14.9

14.4

10.2

12.7

13.8

11.2

15.6

14.6

19.6

12.9

22.0

14.9

13.4

7.3

20.3

15.9

11.8

14.4

15.3

2.1

6.6

30.5

23.3

22.3

24.7

21.8

24.5

28.1

27.4

25.7

18.4

24.3

21.7

23.3

21.4

17.0

23.1

22.7

25.2

21.4

25.2

16.1

21.5

26.6

28.8

25.9

21.8

25.8

25.6

22.8

17.4

26.8

31.9

23.2

26.9

26.6

5.3

22.1

43.1

16.9

15.9

17.5

16.1

18.6

20.7

16.0

17.5

15.9

18.6

16.5

15.8

15.5

13.4

17.2

16.5

16.1

15.7

22.3

17.8

15.7

17.5

18.5

19.4

12.5

22.1

17.3

20.3

13.7

16.4

21.0

19.9

17.4

14.6

14.2

22.2

13.9

13.2

13.5

12.0

14.4

11.1

12.3

12.2

12.5

11.8

11.5

16.3

17.0

15.2

12.5

14.1

11.0

12.8

12.4

12.7

11.4

12.7

15.0

14.1

13.5

18.3

9.7

13.4

16.7

12.6

14.4

13.5

13.1

10.2

12.2

16.8

16.2

6.0

16.5

17.1

16.1

16.8

12.7

13.9

15.5

18.5

18.9

14.9

17.0

16.0

16.0

20.7

16.8

16.8

14.4

18.1

12.1

20.0

18.2

14.4

12.6

14.8

16.7

11.0

11.4

14.5

21.5

15.0

13.0

17.2

13.5

17.5

25.3

19.0

4.6

8.2

9.3

7.7

8.8

6.7

8.9

6.5

6.0

9.6

6.8

8.3

7.0

10.1

12.8

8.2

8.3

7.9

9.3

9.1

13.8

9.8

5.8

5.2

4.5

8.9

2.4

8.8

6.2

11.9

3.7

3.4

7.8

7.0

5.5

15.5

7.5

1.2

9.3

9.3

10.0

8.5

10.1

5.3

7.2

8.7

17.6

6.0

4.7

5.8

10.8

17.3

9.1

9.8

9.2

12.9

1.3

7.1

10.9

5.0

6.2

2.4

8.9

7.1

8.6

6.1

15.6

1.8

1.3

7.0

10.6

8.3

0.5

6.3

0.7

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

24

■Travel expenses (Those involved in considering travel plans/Single answer)

6. Travel Expenses (1)



49,999

yen

or less

50,000-

99,999

yen

100,000-

149,999

yen

150,000-

199,999

yen

200,000-

299,999

yen

300,000-

399,999

yen

400,000

yen

or more

No ans.

●Legend

2016 survey total (n=2,284) 19.7

2015 survey total (n=2,405) 20.0

Sex Male (n=1,071) 20.4 20.6

Female (n=1,213) 19.0 19.5

Sex & age Male 18-29 yrs (n=163) 19.7 20.2

Male 30-39 yrs (n=206) 16.2 18.6

Male 40-49 yrs (n=225) 17.8 17.9

Male 50-59 yrs (n=170) 20.8 19.2


Female 18-29 yrs (n=306) 15.6 16.5

Female 30-39 yrs (n=258) 16.7 17.6

Female 40-49 yrs (n=210) 16.2 18.7

Female 50-59 yrs (n=195) 20.2 20.1


Area of


Kansai (n=539) 20.0 19.7

Tokai (n=302) 19.3 20.3

Accompanying

travelerTravel alone (n=917) 22.5 22.5




With friends (3 or more) (n=626) 15.5 14.1



Other (n=123) 18.7 20.5

Life




Worker (married, no children) (n=822) 25.2 23.4





Student (n=78) 19.6 13.5

Long distance (n=765) 31.3 30.9

Medium distance (n=824) 18.5 19.6

Short distance (n=721) 8.7 8.4

† Package tour expenses is the total expenses paid per adult to the travel agent, including miscellaneous expenses 　 (airport tax, local taxes, fuel surcharge, insurance, etc)


2016

survey

Average

(tens of

1000s

of yen)

2015

survey

Average

(tens of

1000s

of yen)

Distance of

the last

destination

10.6％

11.0

9.5

11.6

14.1

9.2

10.7

7.8

7.2

14.9

13.1

13.5

10.3

5.2

10.6

11.4

9.1

8.1

12.3

7.6

10.5

13.5

11.8

17.2

10.5

18.9

7.4

12.3

6.2

19.8

15.5

9.4

15.1

9.1

1.5

5.3

26.1

22.0

20.0

21.8

22.1

21.6

27.7

23.0

22.3

16.9

25.0

21.6

25.3

21.0

16.9

21.6

21.6

24.1

20.5

26.1

9.5

17.8

27.1

28.6

27.3

25.3

30.5

16.6

23.9

15.6

26.4

35.3

24.3

28.9

26.6

3.7

18.9

44.5

13.9

13.7

13.9

13.9

14.1

18.4

14.4

14.0

10.4

15.7

14.3

14.4

12.7

11.6

14.1

13.6

13.7

13.3

20.1

18.2

12.4

14.2

14.3

16.8

8.6

17.1

13.9

17.0

10.9

13.2

19.1

18.3

13.6

10.7

9.3

19.2

13.4

13.7

12.9

13.2

14.1

10.6

11.7

16.6

15.6

11.6

12.5

15.1

16.6

16.3

11.2

14.2

11.8

14.3

12.8

14.2

16.6

11.5

16.5

16.8

13.9

19.5

11.2

15.1

17.9

12.0

14.8

14.7

15.3

9.1

13.0

14.7

17.7

7.8

18.1

18.7

18.7

17.6

15.4

17.0

19.3

20.7

20.1

16.5

20.1

16.2

15.1

19.7

18.2

19.3

15.7

18.4

15.5

22.5

20.3

16.3

15.1

17.9

14.9

15.7

15.6

17.8

21.5

17.3

9.6

17.6

15.3

20.1

24.9

22.7

6.0

10.3

12.1

9.7

10.8

7.9

10.2

8.6

7.8

12.0

8.5

10.4

8.7

10.7

16.1

10.4

9.8

10.6

11.7

7.2

17.0

12.4

7.2

5.6

5.7

12.0

2.8

18.2

5.7

14.0

4.2

4.8

8.9

7.5

8.2

20.0

8.9

1.3

11.5

11.7

13.2

9.9

16.3

5.8

7.5

11.7

21.7

6.9

5.4

5.2

13.9

19.3

10.8

12.5

12.6

15.3

4.7

8.7

15.1

5.3

7.8

1.2

9.2

3.8

13.4

5.5

19.7

4.2

1.0

6.1

10.6

12.3

25.8

7.4

0.9

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

25

■Package tour expenses (Users of package tours who were involved in the consideration of travel plans/Single answer)




9,999

yen or

less

10,000-

19,999

yen

20,000-

29,999

yen

30,000-

39,999

yen

40,000-

49,999

yen

50,000-

99,999

yen

100,000

-

149,999

yen

150,000

yen or

more

No ans.

●Legend

2016 survey total (n=1,694) 10.0

2015 survey total (n=1,793) 10.5

Sex Male (n=976) 9.9 10.0

Female (n=719) 10.2 11.2

Sex & age Male 18-29 yrs (n=115) 8.0 9.3

Male 30-39 yrs (n=210) 9.5 8.7

Male 40-49 yrs (n=258) 9.0 9.0

Male 50-59 yrs (n=211) 10.4 11.2


Female 18-29 yrs (n=165) 8.6 9.5

Female 30-39 yrs (n=164) 9.2 9.6

Female 40-49 yrs (n=168) 10.8 10.5

Female 50-59 yrs (n=120) 10.4 12.5


Area of


Kansai (n=396) 9.8 10.0

Tokai (n=224) 9.0 9.7

Accompanying








Other (n=94) 10.3 10.8

Life









Student (n=38) 7.5 7.9




† Air ticket expenses is the amount paid per adult, including miscllaneous expenses† The average was tabulated without "No ans."

2016

survey

Average

(tens of

1000s

of yen)

2015

survey

Average

(tens of

1000s of

yen)

Distance of

the last

destination

4.8％

4.9

4.8

4.8

4.4

3.8

7.0

2.7

5.4

6.0

3.0

6.0

3.9

4.9

4.6

3.5

8.1

4.6

6.0

7.4

4.7

4.7

3.9

4.6

7.6

4.1

4.8

1.0

5.2

3.3

6.6

4.6

5.0

9.0

3.6

3.5

7.3

4.7

3.9

4.5

4.9

3.8

3.3

7.5

4.1

2.7

7.5

3.0

5.5

5.8

1.9

4.1

6.2

4.7

4.1

1.0

5.2

4.4

5.5

5.6

6.8

3.7

8.2

5.8

4.7

4.6

6.2

1.9

3.9

2.3

3.2

0.7

2.3

11.2

6.5

5.8

6.4

6.6

10.0

7.6

6.1

5.9

4.1

5.2

9.7

7.7

5.2

3.9

4.7

9.9

9.5

5.9

4.9

10.0

6.8

6.6

6.6

7.4

6.5

8.9

5.6

8.7

4.7

9.9

8.2

6.7

7.0

12.1

0.3

3.4

16.1

6.9

6.6

7.4

6.1

8.1

8.6

6.5

8.6

5.4

9.0

7.3

3.8

5.8

3.9

6.4

8.5

6.0

6.1

4.7

5.2

6.5

8.4

9.1

7.0

5.3

4.1

9.2

6.4

3.9

13.1

4.1

5.7

2.3

5.9

1.4

3.7

15.8

5.8

6.1

5.7

5.8

7.5

7.1

5.1

6.8

2.7

6.0

6.7

4.9

6.5

4.9

6.0

6.0

4.3

4.7

2.5

9.2

5.8

6.9

7.8

5.9

4.7

5.2

6.4

7.9

3.8

6.6

5.9

5.0

7.5

11.0

1.6

4.1

12.0

31.3

29.5

35.6

25.5

30.6

34.8

38.8

32.9

38.5

23.9

30.3

24.6

22.6

25.2

32.9

26.4

32.4

30.5

43.3

21.1

30.2

32.1

35.3

27.6

24.9

27.4

33.8

24.4

29.5

29.3

37.2

29.9

32.1

23.7

16.8

44.5

31.9

18.5

19.4

14.5

23.8

21.9

14.3

7.9

14.9

18.9

23.9

23.0

22.4

26.5

24.3

19.0

19.1

14.8

19.3

13.6

20.4

20.6

16.7

12.1

24.5

22.5

22.7

13.6

29.5

21.7

17.8

25.4

17.3

17.6

23.0

32.0

19.8

3.5

21.6

23.7

21.0

22.4

13.8

20.5

21.0

24.3

22.3

18.7

17.0

25.1

23.9

31.1

22.3

20.4

20.2

24.7

23.9

21.5

21.1

19.2

19.5

16.2

24.8

19.5

20.8

17.4

26.8

13.8

10.8

27.0

26.3

12.3

43.6

18.7

2.2

26

■Air ticket expenses (Those who arranged travel and were involved in the consideration of travel plans/Single answer)




9,999

yen or

less

10,000-

19,999

yen

20,000-

29,999

yen

30,000-

39,999

yen

40,000-

49,999

yen

50,000-

99,999

yen

100,000

-

149,999

yen

150,000

yen or

more

No ans.

●Legend

2016 survey total (n=1,694) 5.6

2015 survey total (n=1,793) 5.2

Sex Male (n=976) 5.6 5.3

Female (n=719) 5.6 5.0

Sex & age Male 18-29 yrs (n=115) 4.0 4.8

Male 30-39 yrs (n=210) 5.2 4.2

Male 40-49 yrs (n=258) 5.1 5.0

Male 50-59 yrs (n=211) 5.4 5.5


Female 18-29 yrs (n=165) 4.5 5.0

Female 30-39 yrs (n=164) 5.2 4.2

Female 40-49 yrs (n=168) 5.4 5.2

Female 50-59 yrs (n=120) 6.3 5.9


Area of


Kansai (n=396) 5.3 5.1

Tokai (n=224) 4.7 3.9

Accompanying








Other (n=94) 7.0 4.6

Life









Student (n=38) 2.7 3.8




† Accommodation expenses is the hotel and accommodation facility expenses paid per adult


2016

survey

Average

(tens of

1000s

of yen)

2015

survey

Average

(tens of

1000s of

yen)

Distance of

the last

destination

15.9％

19.1

12.0

21.2

21.9

11.0

11.2

9.0

11.5

29.1

23.0

18.6

16.1

15.5

15.2

15.7

19.6

14.5

18.2

17.0

12.9

16.4

12.5

28.7

17.4

33.5

16.5

12.7

10.3

17.7

13.9

19.8

16.8

42.7

11.7

16.3

19.6

12.3

12.5

12.5

12.0

14.4

15.2

12.1

11.7

9.5

11.9

15.2

13.7

9.7

6.8

10.4

15.0

16.4

12.0

12.3

17.0

11.4

12.9

12.8

12.9

11.3

9.6

14.0

11.0

9.0

15.0

15.6

11.6

6.1

17.5

5.4

10.2

21.4

12.0

11.3

13.1

10.5

16.9

9.5

17.8

12.6

8.8

10.4

7.3

15.8

12.3

4.9

11.9

11.7

12.7

10.9

6.3

10.3

13.1

13.3

15.5

10.3

9.3

11.1

12.4

11.5

7.8

18.1

15.2

13.3

11.8

6.9

5.9

9.2

20.9

11.2

11.3

12.7

9.3

9.4

13.3

14.0

16.7

7.4

9.7

9.7

9.8

12.9

2.9

11.5

10.5

11.2

10.4

13.3

9.8

8.8

13.3

14.7

11.5

8.6

10.0

12.8

12.5

9.6

14.3

12.6

8.2

12.8

2.4

7.8

13.2

13.1

6.9

6.8

7.3

6.4

7.5

8.1

5.6

7.7

8.1

9.0

6.1

4.9

2.6

9.7

6.9

8.7

3.7

6.7

8.2

6.8

6.4

7.0

6.5

9.4

4.9

8.9

7.4

4.7

5.1

5.9

11.2

6.0

12.3

5.2

7.2

8.7

4.8

23.6

21.1

24.8

21.9

21.3

26.7

23.8

25.7

25.0

14.2

23.6

19.7

23.2

34.0

25.1

21.2

20.2

24.0

21.0

10.2

27.6

23.3

24.4

16.3

26.9

12.5

20.9

29.4

31.1

23.3

21.8

20.3

15.8

17.6

31.5

25.4

13.5

9.6

10.1

9.7

9.3

5.0

9.5

8.4

8.6

16.2

8.2

6.7

9.3

11.6

12.6

9.8

8.2

10.9

11.4

9.2

26.7

11.2

6.6

6.9

4.2

8.3

3.8

7.2

6.2

15.8

3.2

6.4

10.7

14.4

4.4

14.8

8.8

5.0

8.6

7.8

8.0

9.4

3.8

6.7

7.0

8.1

13.5

2.9

8.5

8.2

11.6

13.6

9.2

9.0

5.2

10.0

1.8

2.5

8.7

7.2

6.6

6.7

13.3

2.0

8.7

11.9

11.3

2.6

3.3

10.0

10.0

3.2

15.7

8.2

1.8

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

27

■Accommodation expenses

(Those who arranged travel and were involved in the consideration of travel plans/Single answer)




28

■Number of days traveled (Total/Single answer)

3 days

or less4 days 5 days 6 days 7 days

8-

9 days

10-

１4 days

１5 days

or moreNo ans.

●Legend

2016 survey total (n=4,802) 7.2

2015 survey total (n=5,000) 7.3

Sex Male (n=2,457) 6.9 7.1

Female (n=2,345) 7.5 7.4

Sex & age Male 18-29 yrs (n=341) 6.9 7.1

Male 30-39 yrs (n=475) 6.3 6.4

Male 40-49 yrs (n=580) 6.0 6.8

Male 50-59 yrs (n=465) 6.4 6.2


Female 18-29 yrs (n=573) 7.3 7.3

Female 30-39 yrs (n=483) 7.8 6.7

Female 40-49 yrs (n=434) 6.5 7.1

Female 50-59 yrs (n=378) 7.0 7.1


Area of


Kansai (n=1,150) 6.9 7.2

Tokai (n=631) 7.3 6.6

Accompanying

travelerTravel alone (n=1,813) 7.3 9.6




With friends (3 or more) (n=1,455) 6.9 5.7



Other (n=247) 7.5 7.3

Life




Worker (married, no children) (n=1,405) 7.6 7.1





Student (n=221) 7.3 8.8

Long distance (n=1,531) 9.8 9.7

Medium distance (n=1,694) 7.1 7.3

Short distance (n=1,613) 4.8 5.0

2016

survey

Average

(days)

2015

survey

Average

(days)

Distance of

the last

destination

13.5％

13.4

13.7

13.3

18.5

17.1

18.5

11.8

5.2

18.8

12.6

16.1

11.3

6.4

11.8

18.0

13.3

10.7

13.2

17.7

10.9

18.7

18.6

19.1

12.5

11.6

13.8

12.9

6.6

23.1

20.5

10.5

15.6

24.9

2.1

3.7

34.3

16.7

14.8

16.3

17.0

16.6

17.3

17.6

18.2

12.6

19.4

16.7

18.6

18.5

11.9

16.7

16.2

17.4

15.0

21.9

15.7

14.2

19.1

19.6

19.4

18.5

20.9

13.7

17.5

11.4

21.8

22.5

18.7

21.2

19.5

2.1

13.6

33.6

17.8

17.1

18.3

17.2

20.2

21.3

18.3

21.2

12.6

19.6

22.1

15.4

15.4

12.5

17.6

17.3

19.4

16.7

18.2

24.1

17.7

18.5

20.1

19.1

12.1

17.8

15.6

19.6

16.0

17.6

21.3

22.1

16.1

15.0

10.0

24.9

17.9

11.3

10.5

10.9

11.7

9.9

11.6

12.2

10.4

9.9

9.9

13.0

12.3

11.3

12.5

11.7

10.6

10.6

11.2

15.4

14.5

13.0

9.9

9.7

9.8

8.9

7.3

8.1

16.0

11.9

9.5

9.2

15.2

12.4

7.5

9.9

19.6

3.8

11.7

12.3

12.2

11.3

12.8

10.8

12.7

13.5

11.6

11.0

12.2

12.5

10.9

9.8

12.0

11.2

11.6

11.9

13.1

10.4

13.0

10.7

9.6

9.8

15.6

10.6

10.6

13.4

13.7

10.6

10.2

12.5

10.3

6.9

15.4

15.7

4.1

13.6

15.2

13.6

13.7

10.1

10.8

11.8

12.9

20.0

8.4

9.1

11.8

16.8

23.8

13.5

13.8

13.7

17.0

6.6

8.6

16.9

9.6

8.6

7.6

15.9

7.0

13.4

9.2

21.5

8.0

7.3

10.6

12.4

9.4

28.6

11.1

2.2

10.9

12.7

11.0

10.7

7.4

8.9

6.6

9.4

20.2

6.7

9.1

10.6

11.5

16.8

11.7

9.4

9.3

13.4

8.8

5.5

11.7

7.9

7.7

7.7

11.2

11.1

13.0

9.5

15.5

7.5

7.1

7.0

9.0

8.4

24.1

7.1

2.2

4.6

4.1

4.0

5.1

4.4

2.3

2.3

2.7

7.9

6.3

5.4

2.7

4.3

6.4

4.9

3.5

4.8

4.2

2.9

3.4

2.5

5.5

6.0

7.5

5.3

13.7

11.8

2.0

3.4

1.9

1.8

3.3

2.9

8.5

7.8

4.3

1.7

7. Number of Days Traveled



29

■Purpose of travel (Total/Multiple answers)

2016

survey

2015

survey

(n=4,802) (n=5,000)

To stroll around town 49.7 49.1

To eat good food 46.7 49.7

To see famous sites and historic spots (other than World Heritage) 38.1 46.4

To shop 36.9 39.7

To escape from the routine 26.1 26.5

To see World Heritage sites 26.1 *

To create memories 20.9 21.4

To experience a different culture 19.7 21.2

Relax at hotel 16.7 16.9

To enjoy nature 16.0 17.2

To relax on the beach 14.5 14.7

Just to try getting to a foreign country 13.2 14.4

Engage in sports / hands-on activities 12.3 7.1

To view art 12.3 13.9

To see stimulation 10.7 10.9

Beauty treatments and massages 10.5 12.7

To stay at luxury hotels 7.4 7.3

In expectation of interactions and new encounters with local people 7.2 7.9

To see Japanese friends and acquaintances who live there 6.4 7.4

For my children 5.1 5.9

To improve my language ability 3.8 3.5

To visit a place that is in my memories 3.2 3.0

To experience places off the beaten track / adventures 2.9 3.8

To see an event held during a particular time 2.6 2.5

To enjoy a concert / musical performance 2.6 3.0

For my parents 2.4 3.0

For my own overseas wedding / honeymoon 2.3 2.8

To get a better grounding in hobbies and studies pursued 2.0 2.0

To view a sport event 1.9 2.1

To tour locations of filming 1.2 1.2

To attend a wedding ceremony 1.1 1.2

To do a home-stay / study abroad 0.7 0.5

To benefit my career opportunities 0.5 0.4

Working holiday 0.1 －

Other 4.8 5.2


† In the last survey, the results of "To visit famous sites and historic spots (other than World Heritage)" were indicated as the results of having asked "To visit famous sites and historic spots."

0 10 20 30 40 50 60

2016 survey total 2015 survey total

（％）

8. Purpose of Travel (1)



（％）

Sightseeing Purposes Activity PurposesComfort

Purposes

Sample

To stroll

around town

To eat good

food

To see

famous sites

and historic

spots (other

than World

Heritage)

To shopTo see World

Heritage sites

Beauty

treatments

and massages

To stay at

luxury hotelsTo view art

Engage in

sports /

hands-on

activities

To experience

places off the

beaten track

/ adventures

To enjoy a

concert /

musical

performance

To see an

event held

during a

particular time

To get a

better

grounding in

hobbies and

studies

pursued

To view a

sport event

To tour

locations of

filming

To escape

from the

routine

Relax at hotelTo enjoy

nature

2016 survey total 4,802 49.7 46.7 38.1 36.9 26.1 10.5 7.4 12.3 12.3 2.9 2.6 2.6 2.0 1.9 1.2 26.1 16.7 16.0

2015 survey total 5,000 49.1 49.7 46.4 39.7 * 12.7 7.3 13.9 7.1 3.8 3.0 2.5 2.0 2.1 1.2 26.5 16.9 17.2

Sex Male 2,457 ①47.4 ②43.2 ③39.2 32.2 26.2 8.4 7.5 11.2 12.5 3.2 2.1 2.7 1.8 2.7 1.4 23.1 17.2 14.8

Female 2,345 ①52.1 ②50.3 36.9 ③41.8 25.9 12.7 7.3 13.5 12.2 2.7 3.1 2.5 2.1 1.1 0.9 29.2 16.1 17.2

Male 18-29 yrs 341 ①46.9 ③38 .9 ②39.2 31 .6 25.1 5 .5 3.4 9.3 11.8 3.4 2.1 2.1 2.1 2.7 1.5 22.9 9 .5 8 .2

Male 30-39 yrs 475 ①46.8 ②46.2 ③35.4 31 .6 24.1 8.0 5.5 9.3 12.0 5.1 2.3 4.2 2.1 4.0 2.5 24.7 19.6 12.2

Male 40-49 yrs 580 ①48.5 ②47.7 33.4 ③34.9 18 .7 9.3 8.3 8.3 15.1 3.3 1.9 3.1 2.5 3.5 0.8 28.8 21.8 13.3

Male 50-59 yrs 465 ①46.9 ②43.1 ③37.8 32.7 20 .4 11.4 9.0 10.2 13.3 1.6 1.6 1.8 1.6 2.7 0.8 24.3 18.8 13.9

Male 60 yrs or older 596 ②47.5 39 .0 ①49.0 30 .2 ③40.3 7.0 9.5 17.4 9.9 2.7 2.7 2.3 0.8 0.8 1.4 15 .3 14.0 22.7

Female 18-29 yrs 573 ①55.6 ②52.6 36.2 ③48.9 20 .7 15.3 3.2 12.1 18.5 1.9 2.6 2.4 3.9 1.3 1.1 35.6 14.2 12.7

Female 30-39 yrs 483 ②54.4 ①55.3 32 .6 ③44.7 20 .8 14.4 5.6 11.8 11.5 2.3 2.7 2.5 1.6 1.2 0.8 33.8 17.9 16.3

Female 40-49 yrs 434 ②47.8 ①55.6 28 .3 ③41.9 17 .8 12.7 8.9 9.3 12.5 4.4 4.9 2.5 1.5 1.9 1.1 28.8 19.7 15.0

Female 50-59 yrs 378 ①49.3 ②46.2 ③38.6 ③38.6 27.9 10.7 9.7 15.0 8.8 1.0 3.1 1.2 1.4 0.6 1.6 26.7 14.8 13.6

Female 60 yrs or older 478 ①51.8 40 .8 ②48.6 32.6 ③43.2 9.2 10.7 19.5 7.6 3.7 2.5 3.5 1.6 0.2 0.2 19 .3 14.3 28.5

Kanto 3,021 ①50.8 ②46.8 ③37.2 35.7 26.1 10.3 7.7 12.6 12.8 2.9 2.7 2.7 1.9 2.0 1.0 26.0 17.0 16.3

Kansai 1,150 ①48.3 ②45.8 38.6 ③38.7 23.6 10.9 6.7 11.5 10.6 3.0 2.2 2.5 2.2 1.8 1.0 26.0 16.2 15.0

Tokai 631 ②47.1 ①47.4 ③41.5 39.3 30.2 10.7 7.1 12.3 13.4 2.9 2.7 2.1 1.8 1.8 2.2 26.5 16.0 16.4

Worker (child 7 yrs and over) 1,813 ①47.1 ③42.6 ②43.2 36.0 31.4 8.6 9.2 14.3 11.2 2.6 2.2 2.2 1.4 0.8 1.1 20 .1 14.9 19.5

Worker (child 2-6 yrs) 231 ②44 .0 ①45.7 20 .7 ③39.5 12 .2 10.6 7.8 7.5 16.8 3.8 3.4 5.3 1.7 3.7 1.6 26.4 25.7 11.9

Worker (child 1 yr and under) 116 ③37 .2 ①45.1 25 .1 ②37.8 15 .7 11.0 3.6 8.5 13.2 2.5 ― 1.7 1.9 4.5 ― 20 .9 22.5 10 .5

Worker (married, no children) 995 ①51.0 ①51.0 34.2 ③36.8 24.6 10.2 8.7 11.2 13.0 3.0 2.9 2.5 0.6 2.7 0.6 28.5 19.9 17.2

Worker (unmarried) 1,455 ①53.8 ②49.8 ③38.7 37.0 24.3 13.6 5.4 11.6 12.4 3.4 3.0 3.0 3.3 2.3 1.6 32.8 16.1 12.9

Unmarried male 772 ①51.4 ②43.4 ③40.8 27 .7 24.7 8.7 5.3 8.8 11.3 3.3 2.0 2.7 2.4 3.1 1.7 27.0 17.9 10 .7

Unmarried female 20s/30s 624 ①57.6 ②54.9 36.3 ③49.3 21 .0 17.0 2.9 13.6 15.3 2.2 3.4 2.5 4.5 1.6 1.5 37.8 12.1 12.8

Unmarried female 40s and over 247 ②49.8 ①50.1 34.8 ③38.1 27.5 13.8 8.4 16.3 9.1 4.9 5.0 3.7 4.0 0.7 1.4 29.5 13.4 15.4

Student 192 ①51.3 ③40 .8 34.0 ②41.3 19 .4 5 .1 0 .7 12.0 13.4 1.1 2.7 1.7 4.7 1.0 1.4 21.8 7 .0 7 .8

Light 786 ①46.5 ②41 .4 ③40.1 36.4 23.6 9.3 3.7 10.9 12.8 2.9 1.9 1.7 2.2 1.2 1.0 20 .1 12.4 12.0

Middle 1,235 ①51.7 ②48.3 41.7 ③42.2 24.4 8.6 6.0 12.3 13.2 2.3 2.2 2.6 2.2 2.6 1.6 27.1 14.9 15.5

Heavy 2,782 ①49.8 ②47.4 ③35.9 34.7 27.5 11.6 9.1 12.7 11.8 3.2 3.0 2.9 1.8 1.8 1.0 27.3 18.7 17.3

Comfort

PurposesVague Purposes Personal Purposes Other Purposes

Sample

To relax on

the beach

To create

memories

To experience

a different

culture

Just to try

getting to a

foreign

country

To see

stimulation

In expectation

of

interactions

and new

encounters

with local

people

To improve my

language

ability

To benefit my

career

opportunities

To see

Japanese

friends and

acquaintances

who live there

To visit a

place that is in

my memories

For my

children

For my

parents

For my own

overseas

wedding /

honeymoon

To attend a

wedding

ceremony

To do a

home-stay /

study abroad

Working

holidayOther

2016 survey total 4,802 14.5 20.9 19.7 13.2 10.7 7.2 3.8 0.5 6.4 3.2 5.1 2.4 2.3 1.1 0.7 0.1 4.8

2015 survey total 5,000 14.7 21.4 21.2 14.4 10.9 7.9 3.5 0.4 7.4 3.0 5.9 3.0 2.8 1.2 0.5 ― 5.2

Sex Male 2,457 14.4 17.9 20.3 11.3 11.1 7.7 3.3 0.4 6.1 3.2 5.2 2.1 1.9 1.0 0.5 0.2 5.5

Female 2,345 14.6 24.0 19.0 15.2 10.2 6.7 4.3 0.5 6.7 3.2 5.0 2.8 2.8 1.2 1.0 0.1 4.1

Male 18-29 yrs 341 9.9 24.8 23.8 21.3 16.0 8.2 5.5 0.8 3.2 1.3 0.8 2.3 7.4 1.1 1.5 0.2 4.4

Male 30-39 yrs 475 18.6 18.6 18.1 12.4 15.8 8.0 3.8 0.6 5.3 3.2 4.4 3.0 3.0 2.1 0.4 0.2 4.0

Male 40-49 yrs 580 19.1 20.3 19.7 13.7 14.3 5.4 2.9 0.4 4.6 2.7 8.7 2.7 0.8 0.8 ― ― 6.0

Male 50-59 yrs 465 15.1 11 .8 18.4 6 .5 7.1 8.2 2.9 0.2 7.1 4.1 6.3 1.8 0.4 0.8 0.4 0.4 5.5

Male 60 yrs or older 596 8 .7 15 .7 21.9 6 .2 4 .3 9.1 2.5 0.2 9.1 4.1 4.1 0.8 ― 0.4 0.6 0.2 6.8

Female 18-29 yrs 573 18.8 36.4 19.8 22.8 15.9 9.1 6.5 1.5 5.6 2.4 1.1 3.0 6.3 0.6 2.8 0.2 3.0

Female 30-39 yrs 483 17.7 28.0 17.5 18.1 15.3 6.2 4.7 0.6 7.4 5.4 3.7 4.1 5.4 1.9 0.4 ― 2.5

Female 40-49 yrs 434 16.1 20.5 17.1 14.8 9.1 5.5 2.7 0.2 6.8 1.9 9.9 3.6 0.2 0.4 ― ― 4.4

Female 50-59 yrs 378 11.5 16.0 17.5 8.6 5 .3 5.7 3.7 ― 5.7 4.3 6.6 2.9 0.8 2.1 0.2 0.2 5.5

Female 60 yrs or older 478 7 .4 14 .3 22.5 8.6 3 .3 6.4 3.1 ― 8.2 2.5 5.3 0.4 ― 1.0 0.8 ― 5.5

Kanto 3,021 15.6 19.2 19.5 12.7 10.5 7.0 3.6 0.3 6.8 3.1 5.0 2.4 2.0 1.0 0.6 0.2 4.9

Kansai 1,150 12.6 23.7 19.7 14.0 11.6 7.9 4.4 0.6 5.9 3.1 5.2 2.1 2.4 1.2 0.9 ― 4.5

Tokai 631 12.9 23.4 20.1 14.4 10.0 6.9 3.5 1.1 5.5 3.8 5.6 3.3 3.7 1.1 1.0 0.2 5.2

Worker (child 7 yrs and over) 1,813 13.0 17.9 20.8 8.6 6.5 6.3 2.7 0.1 7.4 3.5 10.1 1.8 0.2 1.2 0.6 0.2 5.4

Worker (child 2-6 yrs) 231 30.3 27.1 16.3 12.1 10.5 6.3 4.1 1.2 5.5 4.6 19.7 4.7 0.8 4.0 ― ― 4.4

Worker (child 1 yr and under) 116 25.1 24.1 11 .7 13.3 9.7 4.7 0.6 ― 3.8 ― 8.5 2.3 11.2 1.1 ― ― 3.8

Worker (married, no children) 995 18.0 22.2 16.8 11.9 9.3 6.5 3.2 0.3 4.7 3.7 0.1 2.4 9.1 0.7 0.2 ― 4.8

Worker (unmarried) 1,455 11.4 21.5 20.1 18.5 15.7 8.3 4.5 0.6 6.5 2.6 0.3 2.5 0.1 0.9 0.5 0.2 4.2

Unmarried male 772 10.5 17.1 21.9 17.8 16.7 9.5 4.5 0.6 6.2 2.2 0.1 2.4 0.1 1.1 0.8 0.2 5.0

Unmarried female 20s/30s 624 12.8 32.7 22.1 23.8 19.0 9.4 7.3 1.5 7.9 3.2 0.4 2.9 0.2 0.5 2.5 0.2 3.1

Unmarried female 40s and over 247 8 .2 11 .0 16.5 12.4 7.4 6.5 4.6 0.4 5.2 2.5 1.1 4.2 ― 0.8 0.4 0.3 5.3

Student 192 8 .6 26.6 28.9 25.4 19.7 14.3 13.1 3.3 7.9 2.6 1.2 5.7 1.2 ― 8.4 0.4 4.8

Light 786 15.3 26.5 21.4 19.1 9.8 6.7 4.2 0.8 3.5 1.3 3.4 1.8 8.5 1.6 1.6 0.4 3.3

Middle 1,235 16.1 25.9 22.1 15.6 12.9 7.9 4.5 0.4 5.7 2.6 4.9 2.3 2.2 0.9 1.0 0.2 3.8

Heavy 2,782 13.5 17.0 18.1 10.5 9.9 7.1 3.4 0.4 7.6 4.0 5.7 2.7 0.6 1.0 0.4 0.1 5.7



† ①, ② , and ③ are the top three responses for each segment (excluding "Other" and "No ans.")


† In the last survey, the results of "To visit famous sites and historic spots (other than World Heritage)" were indicated as the results of having asked "To visit famous sites and historic spots."

Number of

trips taken

Life

stage

Sex & age

Area of

residence

Life

stage

Sex & age

Area of

residence

Number of

trips taken

30

■Purpose of travel (Total/Multiple answers)

8. Purpose of Travel (2)



（％）

Sample

City

sightseeing /

Tour to

surrounding

area

Island tourPleasure

cruise

Visit famous

and historic

places

Theme park

Art museums

and historic

museums

Aquariums/

zoos

Shopping

tour

To tour

locations of

filming

Famous

dishes

Dinner

cruise

Beauty

treatments,

spa, massage,

hot springs

GolfingDiving and

snorkeling

Other marine

sports

Skiing and

snowboarding

2016 survey total 4,802 33.4 7.6 10.4 20.6 4.6 13.5 3.6 7.0 1.1 18.7 3.4 7.0 2.2 6.0 3.5 0.3

2015 survey total 5,000 35.7 6.9 10.2 21.1 4.2 14.2 2.9 6.8 1.1 18.9 3.8 8.2 1.8 5.7 2.9 0.2

UK 132 ①42.0 10.6 14.3 ③28.4 12.5 ②35.4 8.6 8.6 4.7 20.3 7.1 1 .5 1.5 3.2 ― ―

France 196 ①41.9 9.4 11.8 ③35.0 7.2 ②38.3 4.0 6.9 2.0 27.6 4.6 1 .5 1.7 1.7 0.6 ―

Germany 150 ①49.4 5.1 13.8 ②38.7 5.4 ③34.4 4.0 7.7 2.0 23.5 0.7 1 .3 1.1 1.1 0.7 0.5

Spain 121 ①56.1 5.0 10.9 ③45.3 3.4 ②47.3 2.6 8.7 3.0 31.9 0.8 ― ― 1.8 ― ―

Italy 205 ①55.2 23.9 18.3 ③45.9 2.3 ②49.1 1.1 11.4 0.5 35.3 2.0 ― ― ― ― 0.6

Other countries in western Europe 190 ①53.6 5.8 13.5 ②42.7 2.1 32.7 0.4 4.2 0.4 ③35.2 1.7 0 .4 ― ― 0.5 0.5

Other places in Europe 167 ①50.2 5.5 19.8 ②38.5 3.4 ③31.4 0.6 3.2 0.7 25.9 5.8 1 .5 ― ― 0.7 ―

Turkey 23 ①70.7 8.2 20.5 ②65.7 8.6 36.6 4.3 23.0 ― ③50.2 ― 10.5 ― ― ― ―

Other Middle East or Africa 53 ①41.4 5.6 11.5 ②36.9 6.0 18.9 2.3 12.8 2.3 ③19.8 2.3 3.7 ― 10.0 2.3 ―

USA east 150 ②32.0 8.2 19.4 21.7 12.7 ③24.9 5.6 9.0 2.2 18.0 2.7 3.3 1.5 2.6 1.5 ―

USA west 180 ①29.7 5.6 6.0 ③14 .2 ②17.1 9.2 3.4 5.4 1.2 11 .5 1.0 1 .8 1.6 1 .0 1.1 1.8

USA south 44 ②22 .4 16.3 ③21.4 15.8 ①28.8 5 .1 7.9 2.3 ― 14.6 8.4 ― ― 2.8 5.1 ―

Canada 73 ①51.8 4.0 13.2 ②26.5 4.1 5 .3 1.3 8.9 1.0 ③22.1 ― 1 .7 4.0 1.4 ― 4.3

Central/South America or Caribbean 44 ①55.5 12.4 20.5 ②49.9 4.0 20.3 2.8 5.0 ― ③25.7 9.0 2.2 ― 10.1 1.6 ―

Hawaii (Oahu) 507 ①25 .7 9.7 13.8 7 .7 2.7 2 .5 4.1 7.6 0.9 ③14.4 9.8 5.1 4.0 13.5 11.1 0.4

Hawaii (other than Oahu) 121 ①32.0 14.8 ③16.4 10 .7 7.7 4 .9 5.5 5.3 1.5 12 .4 6.5 7.4 8.6 16.2 7.8 0.8

Guam 271 ②18 .0 8.3 12.2 6 .4 4.0 1 .5 3.7 7.1 0.7 13 .5 4.6 7.4 5.5 ①25.8 ③15.6 0.3

Saipan 32 ③29.0 ②42.1 13.1 12 .4 3.2 3 .2 3.2 3.2 ― 16.2 3.2 13.8 7.7 ①57.5 26.6 ―

South Pacific islands or other islands 51 ②26 .9 ③26.4 11.5 1 .4 ― 2 .4 2.4 3.3 ― 6 .3 4.7 5.8 ― ①61.0 17.9 ―

Shanghai 63 ①25 .9 1 .6 6.7 ②17.7 ― 10.0 ― 9.4 1.9 13 .7 1.9 6.5 ― ― ― ―

Beijing 23 ①23.6 8.5 8.5 ①23.6 12.9 18.0 ― 4.4 8.7 4.4 8.7 4.1 4.4 ― ― ―

Other China (exc. Hong Kong / Macau) 73 ①33.2 ― 7.3 ③16.1 1.4 9.0 6.4 5.1 ― ②16.5 ― 7.7 1.3 1.7 ― ―

Hong Kong 158 ①28.5 1 .0 7.0 ③14 .7 6.5 0 .8 0.6 9.3 ― ②20.3 2.3 3.4 ― 0 .8 ― ―

Macau 54 ①27 .9 ― 6.2 ③15 .1 1.7 4 .0 ― 8.9 ― ②15.8 ― 2.3 ― 2.3 ― ―

Taiwan 579 ①33.6 1 .1 2 .3 ③21.4 2.5 15.6 0.6 11.0 0.8 ②21.6 1.3 10.4 1.0 0 .5 ― ―

Korea 340 ①13 .6 1 .0 2 .0 7 .8 1.1 4 .3 0.8 6.0 2.0 9 .7 0.6 ②11.5 1.1 0 .3 ― 0.3

Singapore 200 ①32.4 8.2 7.5 10 .4 13.6 3 .6 ②21.6 3.4 0.5 ③17.1 3.2 8.2 1.0 0 .6 0.5 ―

Phuket 37 11 .1 ①35.2 10.6 6 .0 2.7 ― 6.0 1 .9 2.7 9 .4 ― ③17.1 2.7 9.1 12.6 ―

Thai beaches (other than Phuket) 27 11.3 ②14.8 6.8 4.5 ― ― ― ― ― 4.4 ― ①15.1 ③12.3 7.7 ― ―

Bangkok or other Thai cities 211 ①21 .0 2 .2 5.9 ②13 .2 1.8 1 .4 2.7 1 .5 0.5 11 .1 4.6 ③12.3 10.1 ― 0.5 ―

Bali 86 ①37.4 9.3 2 .6 ③21.3 ― 5 .1 2.3 8.8 1.1 14.2 ― ②35.2 1.1 13.3 8.5 1.4

Indonesian cities 11 ②27.1 ― ― ③21.8 ― ― ― 8.7 ― 16.8 ― ①33.5 8.1 ― ― ―

Malaysia 82 ①29.2 ③14.6 11.5 14 .0 5.2 3 .5 7.5 3.2 ― ②18.7 2.3 11.3 3.8 4.5 5.9 ―

Philippines 77 8 .0 10.2 5 .1 4 .2 1.3 2 .8 1.2 3.5 1.3 6 .3 2.6 ②17.8 0.9 ①25.9 ③11.8 ―

Vietnam 154 ①56.4 8.0 ③33.1 ②38.3 2.2 8.6 0.7 6.0 ― 24.9 3.7 15.5 ― 0 .7 ― ―

Cambodia 53 ②45.8 8.8 19.0 ①54.9 ― 8 .3 ― 10.7 ― ③25.0 ― 24.1 ― ― ― ―

Other places in Asia 64 ①52.4 3.4 9.6 ②39.9 ― 6 .6 1.6 10.8 1.1 ③22.2 ― 10.7 1.1 ― ― ―

Australia 129 ①39.5 ②33.3 ③23.4 22.5 13.4 11.4 22.7 7.1 2.3 18.9 11.2 1 .7 2.3 15.3 6.2 ―

New Zealand or other Oceania 41 ①50.5 12.9 ②37.5 ③31.5 7.7 13.3 9.5 16.6 7.2 15.5 4.9 ― 1.8 4.9 2.3 ―

Used 2,284 ①53.8 11.8 16.3 ②35.2 6.4 19.9 4.7 12.3 1.6 ③28.9 5.8 8.8 1.9 8.7 5.0 0.5

Didn't use 1,694 ①12 .2 2 .6 4 .2 6 .5 3.4 ③8.7 2.9 1 .5 0.7 8 .6 1.0 4.9 2.6 3.5 2.2 0.3

Sample

Outdoor

(fishing,

climbing, etc.)

Riding

(horseback,

rafting, etc.)

Other sportsSafari jungle

tour

Viewing of

theater,

musicals,

concert,

shows, etc.

Sports

viewing

Other event

viewing

Government

operated

gambling

(casinos,

horse racing,

etc.)

Night tour Instruction

Ethnic

cultural

experiences

Trains Car rental Other Nothing

Don't know

or don't

remember

2016 survey total 4,802 2.7 3.4 1.6 1.4 8.2 1.7 1.1 0.9 4.2 0.2 2.1 7.3 4.8 3.7 20.0 10.2

2015 survey total 5,000 2.5 3.3 1.6 1.3 8.4 2.0 0.9 1.2 4.3 0.2 2.6 6.9 5.1 3.8 20.3 8.8

UK 132 3.7 3.5 5.4 1.5 15.2 6.5 3.3 0.9 3.3 ― 0.8 14.8 5.8 3.8 16.4 5.9

France 196 5.0 3.6 3.2 1.0 14.4 2.5 1.1 1.0 3.0 ― 0.6 14.7 5.1 2.9 16.3 5 .1

Germany 150 3.0 4.1 2.2 2.0 10.3 5.1 ― 0.7 2.7 0.5 1.1 20.6 3.6 2.5 11 .1 11.7

Spain 121 1.8 1.8 2.6 ― 17.6 6.4 1.4 1.4 6.5 ― 1.5 17.8 ― 5.3 6 .8 6.7

Italy 205 3.7 1.8 1.5 ― 5.6 2.1 1.0 0.4 2.6 ― 0.4 19.7 1.0 3.1 8 .1 4 .2

Other countries in western Europe 190 7.1 1.2 0.5 ― 13.9 1.0 0.5 ― 2.1 ― 0.8 23.7 2.8 2.5 8 .9 9.5

Other places in Europe 167 1.9 1.3 ― 0.5 13.4 1.5 1.0 ― 6.6 ― 2.9 19.4 1.8 7.3 8 .0 13.6

Turkey 23 5.3 8.2 ― ― 5.3 3.1 ― ― 12.7 ― 9.5 5.3 ― 4.2 9.2 12.7

Other Middle East or Africa 53 1.9 12.7 4.1 9.2 5.6 2.3 2.3 2.3 5.6 ― 6.1 5.1 ― 2.3 9 .2 9.8

USA east 150 3.7 3.6 4.6 0.7 ①33.9 8.0 0.7 1.1 4.2 ― ― 9.3 2.0 3.4 14 .2 5.8

USA west 180 1.7 4.4 2.6 1.7 13.6 6.2 0.6 4.5 5.5 1.1 1.1 3.5 12.6 5.2 17.1 12.3

USA south 44 ― ― 5.1 2.3 8.4 4.5 2.8 ― 2.8 ― ― ― 2.3 2.8 14 .1 9.4

Canada 73 13.1 10.2 1.0 1.0 6.1 4.2 1.0 1.4 5.1 1.4 5.1 12.3 8.0 7.9 12 .8 4 .7

Central/South America or Caribbean 44 6.1 ― ― 2.3 16.2 ― 2.2 ― 9.0 ― 9.5 14.5 4.4 7.9 4 .9 3 .7

Hawaii (Oahu) 507 4.2 5.0 4.0 0.9 3 .0 0.4 0.8 0.1 2.5 0.6 1.3 0 .2 ②14.9 5.4 19.5 7.2

Hawaii (other than Oahu) 121 2.3 4.7 6.1 3.1 5.9 0.8 3.5 0.8 4.1 0.8 2.5 0 .8 ②23.4 4.9 10 .0 10.9

Guam 271 2.8 3.9 1.4 1.0 6.6 0.3 0.7 0.3 3.4 ― 2.1 ― 10.8 6.9 15.4 8.6

Saipan 32 7.0 6.0 5.4 3.1 2 .3 ― ― 3.0 3.2 ― ― ― 3.0 ― 4 .9 10.2

South Pacific islands or other islands 51 3.4 2.4 ― 1.9 ― ― ― ― 3.7 ― 2.4 ― 2.0 2.4 10 .1 6.3

Shanghai 63 ― 2.7 3.1 ― ③14.1 3.1 ― ― 2.8 ― ― 1 .5 ― ― 35.1 13.7

Beijing 23 ― 13.1 4.1 4.1 ③22.2 4.4 13.7 ― 4.4 5.2 ― 4.4 ― ― 27.6 14.1

Other China (exc. Hong Kong / Macau) 73 3.0 2.9 1.4 1.4 6.4 1.4 3.0 ― 4.7 1.6 2.6 6.3 1.4 ― 28.9 13.7

Hong Kong 158 ― 0.6 ― 0.6 2 .0 ― 2.0 3.2 6.2 ― ― 2.5 1.4 4.9 36.8 10.8

Macau 54 ― ― ― ― 8.1 2.2 2.2 5.4 8.2 ― ― 1 .7 ― ― 23.5 18.9

Taiwan 579 0.7 0.7 0.4 0.2 3.4 0.7 0.7 0.3 4.9 ― 2.9 12.5 0.7 2.6 27.4 15.0

Korea 340 0.3 0.6 0.3 ― ③10.1 0.8 0.6 1.7 1.2 0.3 2.1 2 .3 0.7 2.5 39.1 15.0

Singapore 200 0.4 3.1 0.5 11.6 3.6 1.2 1.0 4.1 10.2 0.5 1.7 4.0 0.8 2.1 23.4 8.8

Phuket 37 2.7 ②19.6 2.7 ― 13.5 ― 2.7 ― 1.9 ― ― 2.7 3.2 4.9 28.3 3 .3

Thai beaches (other than Phuket) 27 3.3 ― 2.6 ― ― ― ― ― ― ― ― 4.4 7.9 ― 36.1 4.4

Bangkok or other Thai cities 211 1.6 8.6 ― 0.6 4.0 1.3 0.9 ― 2.0 ― 1.6 3.2 4.8 3.3 34.4 8.1

Bali 86 3.2 10.3 1.4 4.8 14.0 1.1 1.4 ― 0.8 ― 6.6 ― 5.4 0.9 8 .5 8.9

Indonesian cities 11 6.9 ― ― ― 8.7 ― ― ― ― 8.1 8.7 ― 6.9 ― 13.7 24.1

Malaysia 82 2.4 2.1 ― 6.1 ― 2.3 ― 1.1 10.4 ― 0.9 10.1 2.3 3.7 18.9 7.4

Philippines 77 2.2 0.9 5.4 ― 0 .9 1.3 2.2 1.3 5.1 ― ― ― 1.3 2.5 16.9 20.4

Vietnam 154 1.2 2.1 ― 0.6 15.4 ― ― ― 5.0 ― 4.6 1 .3 0.6 2.0 16.8 8.2

Cambodia 53 ― 2.3 ― ― 15.1 ― ― 2.3 7.8 ― 1.8 ― 1.8 3.6 7 .8 14.7

Other places in Asia 64 6.6 5.0 ― 2.8 7.2 ― ― ― 6.9 ― 8.1 3.8 3.1 3.5 19.9 14.6

Australia 129 9.1 12.9 3.9 5.5 4.0 1.5 1.0 1.9 9.0 ― 4.4 14.2 5.7 1.0 9 .1 4 .4

New Zealand or other Oceania 41 20.4 11.2 ― ― 9.1 2.3 2.4 ― 12.4 ― 6.0 11.7 21.0 6.8 1 .8 9.7

Used 2,284 3.7 4.7 2.3 2.3 9.1 1.7 1.2 1.2 6.4 0.2 2.8 6.7 3.0 3.2 13 .1 2 .0

Didn't use 1,694 1.9 2.1 0.9 0.5 8.0 2.2 1.0 0.8 1.8 0.3 1.4 ②10.1 7.8 4.4 39.1 3 .7



† ① , ② , and ③ are the top three actions done locally as seen by destination (exc. "Other," "Nothing,"and "Don't know or don't remember").

† "Actions as destination" is the total of "that which was incorporated in the package tour," "that which was applied for prior to departure," and "that which was applied for locally"

† In the last survey, the results of "Government operated gambling (casinos, horse racing, etc.)" were indicated as the results of having asked "Gambling."

Package

use

Last

destination

(middle

classification)

Last

destination

(middle

classification)

Package

use

31

■Actions at destination (Total/Multiple answers)

9. Actions at Destination

1) Total



32

■That which was incorporated into the package tour (Package tour users who were involved in the consideration of the trip/Multiple answers)

（％）

Sample

City

sightseeing /

Tour to

surrounding

area

Island tourPleasure

cruise

Visit famous

and historic

places

Theme park

Art museums

and historic

museums

Aquariums/

zoos

Shopping

tour

To tour

locations of

filming

Famous

dishes

Dinner

cruise

Beauty

treatments,

spa, massage,

hot springs

GolfingDiving and

snorkeling

Other marine

sports

Skiing and

snowboarding

2016 survey total 2,284 42.4 7.2 10.9 29.3 2.8 15.1 1.9 9.6 0.8 21.0 2.5 1.7 0.5 2.3 0.7 0.1

2015 survey total 2,405 44.4 6.1 11.0 29.4 2.8 16.2 1.2 9.2 0.7 21.4 3.0 1.6 0.4 2.0 0.6 0.2

UK 60 ①54.5 12.7 22.8 ③30.1 10.3 ②36.1 7.1 14.4 3.7 28.1 4.1 ― ― ― ― ―

France 99 ①57.0 12.3 11.6 ②41.5 5.1 ③30.2 1.0 6.2 1.0 26.5 2.3 1.0 2.4 1.2 1.2 ―

Germany 80 ①73.7 4.0 20.7 ②58.2 1.3 ③32.9 1.3 9.6 1.3 31.7 ― ― 1.3 ― 1.3 ―

Spain 67 ①68.8 4.3 13.5 ②52.0 ― ③47.1 ― 6.7 2.6 40.0 1.4 ― ― 1.5 ― ―

Italy 122 ①74.9 27.3 24.3 ②60.6 1.0 43.6 ― 10.5 ― ③47.1 3.4 ― ― ― ― 1.0

Other countries in western Europe 110 ①84.1 6.5 16.8 ②69.7 2.0 40.3 ― 6.5 0.7 ③50.5 2.0 ― ― ― ― ―

Other places in Europe 85 ①84.8 7.1 28.9 ②59.5 5.5 38.1 ― 6.3 ― ③40.2 7.4 ― ― ― ― ―

Turkey 17 ①94.0 5.9 17.3 ②88.3 12.1 ③51.6 ― 32.4 ― 51.2 ― 7.4 ― ― ― ―

Other Middle East or Africa 31 ①60.3 9.4 6.3 ②38.4 6.9 11.8 ― 19.5 ― ③21.8 ― 4.0 ― 4.0 4.0 ―

USA east 59 ①40.2 10.7 ③24.9 ②30.3 6.7 19.2 8.8 8.3 2.1 13 .7 ― 1.7 3.7 2.0 2.0 ―

USA west 65 ①29 .0 4.9 4 .9 ②18 .2 1.5 6 .0 1.9 7.5 1.9 ③8.8 ― ― ― 1.1 ― ―

USA south 17 ②33.9 22.2 ①37.0 ③28.2 7.4 7.4 13.4 ― ― 7.4 14.8 ― ― ― ― ―

Canada 33 ①63.5 3.8 ③21.1 ②40.8 3.0 ― ― 13.8 ― 20.5 ― ― ― ― ― ―

Central/South America or Caribbean 26 ①66.8 17.2 31.7 ②62.0 ― 17.2 4.8 4.7 ― ③32.5 4.8 ― ― 7.8 ― ―

Hawaii (Oahu) 284 ①18 .6 5.2 ②7.3 ③5 .9 1.6 0 .8 2.6 5.1 ― 4 .3 4.4 0.8 ― 1.9 ― 0.3

Hawaii (other than Oahu) 67 ①21 .3 ②9.9 6.2 4 .5 6.0 3 .3 5.6 ③9.6 2.7 3 .0 4.7 3.0 1.5 7.3 3.0 1.5

Guam 166 ①9.9 5.5 5 .1 4 .2 3.0 1 .2 1.6 ③5.8 0.6 3 .5 1.6 2.0 1.0 ②7.2 3.4 ―

Saipan 23 ― ③4.0 ― 3.1 ― ― ― ― ― ③4.0 ― ― ― ①6.3 ― ―

South Pacific islands or other islands 39 ②18 .8 ③18.2 10.7 ― ― ― 3.2 1 .8 ― 2 .6 3.1 3.2 ― ①30.3 12.8 ―

Shanghai 17 ①52.5 5.7 10.2 ②26.8 ― 17.9 ― 21.2 ― ③23.9 ― ― ― ― ― ―

Other China (exc. Hong Kong / Macau) 20 ①83.0 ― 9.8 ②41.1 5.0 23.7 12.5 18.7 ― ③35.8 ― ― ― ― ― ―

Hong Kong 62 ①40.5 1 .3 3 .2 ②26.8 3.9 ― ― 14.5 ― ③24.6 1.3 ― ― ― ― ―

Macau 17 ①27.4 ― ― ③22.0 ― ― ― 15.8 ― ①27.4 ― ― ― ― ― ―

Taiwan 264 ①46.7 1 .5 2 .6 ②32.8 2.5 23.5 0.3 21.7 1.0 ③30.8 0.4 3.5 ― 0.6 ― ―

Korea 134 ①20 .5 1 .7 3 .8 ②11 .2 0.5 3 .6 ― ③10.2 3.7 7 .3 ― 0.7 1.4 0.7 ― ―

Singapore 96 ①33 .9 8.8 4 .3 7 .5 7.1 2 .2 ③10.0 4 .0 1.0 ②10 .8 2.2 1.0 1.0 ― ― ―

Phuket 10 7.1 7.1 7.1 ― ― ― ― 7.1 ― ①9.9 ― ― ①9.9 ― ①9.9 ―

Bangkok or other Thai cities 52 ①28 .9 4.6 6.8 ②18 .8 1.9 ― ― 2 .9 ― 7 .5 10.4 4.3 ― ― ― ―

Bali 49 ①24 .9 7.0 2 .5 ②10 .1 ― ― ― 6.5 ― ③9 .6 ― 7.9 ― 2.0 ― ―

Malaysia 33 ①33 .4 14.9 15.6 ②23 .9 5.0 2 .8 5.8 5.2 ― ③17.0 2.8 5.9 ― 2.4 ― ―

Philippines 27 ②3.6 ②3.6 ― ②3.6 ― ― ― ― ― ②3.6 ― ― ― ①12.5 ― ―

Vietnam 88 ①66.6 8.8 ③35.2 ②49.6 2.5 10 .0 ― 9.5 ― 31.0 3.4 3.9 ― ― ― ―

Cambodia 31 ②57.7 11.0 11.8 ①78.7 ― 6 .3 ― 18.3 ― ③34.9 ― 13.4 ― ― ― ―

Other places in Asia 28 ①85.1 7.9 12.3 ②83.4 ― 15.0 ― 20.3 ― ③43.0 ― 3.5 ― ― ― ―

Australia 64 ①35 .6 ②24.8 18.6 ③19 .7 7.7 6 .8 11.9 8.9 ― 16.8 13.8 1.9 1.9 10.9 1.9 ―

New Zealand or other Oceania 22 ①68.3 14.3 ③35.5 ②50.0 10.1 11.2 5.7 16.9 ― 21.2 ― ― ― ― ― ―

Sample

Outdoor

(fishing,

climbing, etc.)

Riding

(horseback,

rafting, etc.)


tour

Viewing of

theater,

musicals,

concert,

shows, etc.

Sports

viewing

Other event

viewing

Government

operated

gambling

(casinos,

horse racing,

etc.)


Ethnic

cultural

experiences


Don't know

or don't

remember

Free

activity at

destination

beyond

roundtrip

air ticket,

hotel

accommodations,

and local

transportation

2016 survey total 2,284 2.1 1.7 1.1 1.1 3.7 0.6 0.5 0.5 3.6 0.1 2.1 4.5 0.2 0.6 1.8 0.7 44.6

2015 survey total 2,405 1.6 1.6 0.9 1.2 4.7 0.6 0.7 0.7 3.2 0.1 3.3 3.1 0.3 1.0 1.9 0.6 42.1

UK 60 3.0 2.0 3.4 1.7 2.0 1.7 1.7 ― 3.7 ― ― 4.9 ― ― ― 1.2 18 .0

France 99 7.8 2.5 3.9 1.0 3.5 2.2 ― ― ― ― ― 8.2 ― ― 1.2 1.2 25 .6

Germany 80 2.8 2.8 1.3 2.5 5.3 2.5 ― 1.3 3.5 ― 1.2 9.9 ― ― ― 2.4 11 .7

Spain 67 1.5 ― ― ― 13.5 1.4 ― 1.4 8.0 ― 1.2 6.8 ― ― ― ― 20 .9

Italy 122 5.2 ― ― ― 4.2 ― ― ― 1.6 ― 0.6 4.9 ― ― ― ― 17 .2

Other countries in western Europe 110 9.4 0.9 0.9 ― 6.8 ― ― ― 3.6 ― 1.4 16.4 ― ― ― 2.0 8 .6

Other places in Europe 85 ― ― ― 1.1 7.2 ― 0.9 ― 7.8 ― 3.7 18.1 ― 2.6 ― ― 11 .7

Turkey 17 7.4 ― ― ― 7.4 ― ― ― 11.8 ― 13.3 7.4 ― ― ― ― ―

Other Middle East or Africa 31 ― 7.9 3.1 5.5 3.9 ― ― ― 4.0 ― 3.2 3.9 ― ― ― ― 23 .3

USA east 59 4.1 1.7 5.4 1.7 7.5 3.4 ― 1.6 5.8 ― ― 4.1 ― ― 2.1 ― 38 .4

USA west 65 ― 1.5 2.6 ― 3.0 2.6 ― 1.5 1.5 1.5 1.5 1.5 ― 3.0 2.6 ― 61.3

USA south 17 ― ― 13.4 6.0 7.4 6.0 7.4 ― ― ― ― ― ― ― ― ― 45.2

Canada 33 9.1 8.4 ― ― 3.1 ― ― 3.1 8.4 3.1 6.0 8.4 ― 3.1 ― ― 36 .5

Central/South America or Caribbean 26 4.8 ― ― ― 16.2 ― ― ― 11.4 ― 12.3 11.3 ― ― ― ― 10.4

Hawaii (Oahu) 284 1.0 0.8 2.4 0.4 ― 0.4 0.4 ― 1.1 ― 1.0 0.4 0.4 0.8 2.1 1.0 66.9

Hawaii (other than Oahu) 67 3.0 4.2 4.5 1.5 4.5 1.5 1.5 1.5 3.3 1.5 1.5 1.5 1.5 ― 3.3 ― 62.1

Guam 166 ― 2.6 ― 1.2 1.2 ― ― 0.6 1.2 ― 0.9 ― ― 0.7 4.0 ― 68.8

Saipan 23 ― ― ― ― ― ― ― ― ②4.4 ― ― ― ― ― 4.4 ― 80.9

South Pacific islands or other islands 39 1.8 ― ― ― ― ― ― ― ― ― 3.1 ― ― ― 14.0 ― 37 .4

Shanghai 17 ― ― 5.8 ― 5.5 5.8 ― ― 10.2 ― ― ― ― ― ― 9.9 19.2

Other China (exc. Hong Kong / Macau) 20 11.2 ― 5.0 ― 12.5 ― ― ― 11.2 ― 9.5 6.2 ― ― 6.1 ― 6.2

Hong Kong 62 ― ― ― ― 1.5 ― 3.1 3.2 4.7 ― ― ― ― 1.6 3.9 2.8 46.9

Macau 17 ― ― ― ― ― ― ― ― ― ― ― ― ― ― 7.1 5.8 53.8

Taiwan 264 0.7 0.3 ― ― 2.1 ― 0.4 0.3 5.9 ― 2.8 11.1 ― 0.8 2.0 0.4 43.7

Korea 134 0.7 0.7 ― ― 1.4 0.6 ― 0.5 0.7 ― 0.9 ― ― ― 0.9 0.7 69.4

Singapore 96 ― 1.0 1.0 8.6 1.3 1.0 ― 2.2 7.9 ― 0.8 1.3 ― ― 1.3 ― 61.5

Phuket 10 ①9.9 ― ― ― ― ― ― ― ― ― ― ― ― ― ― ― 73.1

Bangkok or other Thai cities 52 ― ③10.8 ― ― ― ― 3.8 ― ― ― 2.4 ― ― ― 2.4 ― 62.8

Bali 49 ― 7.1 ― 4.0 ― ― ― ― ― ― 2.5 ― ― ― 5.9 2.5 59.7

Malaysia 33 ― 3.0 ― 2.8 ― ― ― 2.8 9.6 ― ― 6.1 ― ― ― ― 49.1

Philippines 27 ― ― ― ― ― ― ― ― ― ― ― ― ― ― 11.8 2.7 69.3

Vietnam 88 ― 2.2 ― ― 17.9 ― ― ― 7.3 ― 4.7 ― 1.1 1.1 0.9 0.9 28 .8

Cambodia 31 ― ― ― ― 21.9 ― ― ― 5.5 ― 3.1 ― 3.1 3.1 ― 3.1 15 .0

Other places in Asia 28 11.5 ― ― 6.4 7.0 ― ― ― 11.4 ― 18.6 4.3 ― ― ― ― 6.9

Australia 64 6.0 4.6 3.8 5.7 ― 1.6 1.9 ― 5.7 ― 1.9 9.3 1.9 ― 2.6 ― 39.7

New Zealand or other Oceania 22 14.6 3.3 ― ― 5.7 ― ― ― 4.5 ― 5.5 ― ― ― ― ― 31.7



† ① , ② , and ③ are the top three actions done locally as seen by destination (exc. "Other," "Nothing," "Don't know or don't remember,"

"Free activity at destination beyond roundtrip air ticket, hotel accommodations, and local transportation")


Last

destination

(middle

classification)

Last

destination

(middle

classification)


2) What was Included in Package Tours (package tour users)



（％）

Sample

City

sightseeing /

Tour to

surrounding

area

Island tourPleasure

cruise

Visit famous

and historic

places

Theme park

Art museums

and historic

museums

Aquariums/

zoos

Shopping

tour

To tour

locations of

filming

Famous

dishes

Dinner

cruise

Beauty

treatments,

spa, massage,

hot springs

GolfingDiving and

snorkeling

Other marine

sports

Skiing and

snowboarding

2016 survey total 4,802 13.1 3.2 3.9 5.7 2.2 3.1 1.2 1.8 0.4 4.8 1.6 2.7 1.2 3.6 1.8 0.1

2015 survey total 5,000 14.1 3.3 3.6 5.2 1.9 3.4 1.1 1.8 0.4 5.1 1.7 2.8 1.1 3.2 1.8 0.1

UK 132 ①21.1 3.2 3.3 ②14.1 6.2 ③8.2 4.1 3.5 2.3 5.9 6.2 ― 1.5 0.9 ― ―

France 196 ①15.8 3.0 4.8 ②12.6 5.1 ③12.1 1.4 3.3 0.5 7.9 2.6 ― ― 1.2 ― ―

Germany 150 ①13.6 2.3 3.5 ③9.8 3.8 7.2 ― 2.6 1.3 5.1 0.7 ― 0.7 ― ― ―

Spain 121 ①21.1 2.4 2.6 ③13.5 2.9 ②15.0 ― 2.8 ― 5.9 ― ― ― 1.0 ― ―

Italy 205 ①20.8 7.4 4.5 9.7 1.7 ②17.2 ― 4.2 ― 5.3 ― ― ― ― ― ―

Other countries in western Europe 190 ③7.3 1.0 2.2 5.8 0.9 2.7 ― ― ― 3.9 0.5 ― ― ― ― 0.5

Other places in Europe 167 ①10.8 2.4 4.9 ②9.2 ― 6.0 0.6 ― 0.7 4.2 2.0 ― ― ― ― ―

Turkey 23 ②11.4 4.1 ③8.2 ― ― ― ― ― ― ①13.8 ― 5.3 ― ― ― ―

Other Middle East or Africa 53 ①13.7 ― ③7.8 ②10.9 ― 5.9 2.3 2.3 ― 4.1 2.3 ― ― 4.0 ― ―

USA east 150 ②15.0 3.1 7.7 ③8.3 5.9 6.8 2.1 3.7 2.2 5.6 2.0 1.3 ― 1.5 ― ―

USA west 180 ①17.1 2.2 2.2 6.1 ②12.5 2.2 1.9 3.0 1.2 4.3 1.0 1.1 0.6 0.6 0.6 0.6

USA south 44 ③5.6 5.1 2.8 2.8 ①21.4 ― ― 2.3 ― ②6.7 2.8 ― ― 2.8 2.8 ―

Canada 73 ①22.1 1.3 2.7 ③6.8 2.7 3.0 1.3 2.7 1.0 5.7 ― 1.7 ― 1.4 ― 1.7

Central/South America or Caribbean 44 ①14.5 ― ― 2.8 1.8 ― ― ― ― 2.2 4.0 ― ― ― ― ―

Hawaii (Oahu) 507 ①15.1 6.2 9.1 3.0 1.1 1.6 1.4 2.5 0.3 6.0 5.8 3.7 2.5 ③9.3 5.9 0.1

Hawaii (other than Oahu) 121 ①19.3 7.8 11.4 7.6 3.1 1.4 2.5 1.6 0.8 5.8 1.8 4.5 4.4 ③11.8 4.5 0.8

Guam 271 ②12.8 3.4 6.9 4.9 1.5 0.3 1.9 2.9 0.4 6.0 2.2 4.3 3.0 ①18.8 ③9.5 0.3

Saipan 32 ③17.1 ②24.0 3.8 8.6 ― 3.2 3.2 3.2 ― 7.0 3.2 3.9 7.7 ①33.1 9.3 ―

South Pacific islands or other islands 51 ②14.4 ③9.6 5.7 1.4 ― ― ― ― ― ― 2.4 ― ― ①26.4 4.8 ―

Shanghai 63 ①12.9 1.6 1.9 7.1 ― 3.4 ― 5.1 ― ③9.0 ― 1.6 ― ― ― ―

Beijing 23 ①13.9 ― 4.1 8.5 4.4 8.5 ― 4.4 ― ― 4.4 ― ― ― ― ―

Other China (exc. Hong Kong / Macau) 73 ①4.3 ― ― 2.4 ― ― 1.7 ― ― 2.6 ― ②3.0 ― ― ― ―

Hong Kong 158 ①10.5 ― 2.9 2.9 3.5 ― ― 1.6 ― ②7.8 0.6 ― ― ― ― ―

Macau 54 ①11.6 ― 1.7 ②6.3 1.7 ― ― 1.7 ― 5.5 ― ― ― ― ― ―

Taiwan 579 ①14.3 0.3 0.6 ②5.1 0.7 2.5 0.3 1.0 0.2 ③4.8 0.6 3.9 0.4 0.1 ― ―

Korea 340 ②6.0 0.4 0.3 2.3 0.2 0.7 0.4 2.2 0.2 ③3.9 0.6 3.5 1.1 ― ― ―

Singapore 200 ①15.1 3.9 4.3 3.9 ③8.4 1.1 ②10.4 0.5 ― 6.8 2.2 2.7 0.5 ― ― ―

Phuket 37 2 .6 ①20.9 8.7 ― ― ― 2.7 ― 2.7 ― ― ③11.1 ― 3.2 6.0 ―

Thai beaches (other than Phuket) 27 4.4 3.6 3.3 4.5 ― ― ― ― ― 4.4 ― ②8.0 ①12.3 ③7.7 ― ―

Bangkok or other Thai cities 211 ①10.7 0.6 1.9 ③6.2 0.4 0.5 0.5 0.8 0.5 2.1 0.3 2.5 ②7.0 ― 0.5 ―

Bali 86 ②13.2 3.3 ― ③12.0 ― 2.2 1.1 2.5 ― 6.2 ― ①19.8 ― 10.0 6.2 ―

Indonesian cities 11 ①19.0 ― ― ②10.9 ― ― ― ― ― ― ― ― ― ― ― ―

Malaysia 82 ①14.6 ②6.5 4.2 1.5 2.1 ― ― 1.2 ― 3.8 ― ③4.7 3.8 ― 1.5 ―

Philippines 77 4 .2 ③5.2 2.9 1.6 ― ― ― 0.9 1.3 ― 1.3 2.6 0.9 ①16.1 ②6.1 ―

Vietnam 154 ①14.1 1.1 ②8.7 ③6.2 0.8 2.6 ― 1.4 ― 3.2 0.5 4.5 ― ― ― ―

Cambodia 53 ②4.2 ― 1.9 ①10.1 ― ― ― 2.3 ― 2.3 ― ③4.1 ― ― ― ―

Other places in Asia 64 ①7.2 ― 1.6 1.9 ― ― ― 1.9 1.1 ③3.5 ― ③3.5 ― ― ― ―

Australia 129 ②19.2 ①19.7 8.2 ③12.4 2.6 2.8 5.0 1.9 ― 3.3 5.9 ― 0.8 6.5 2.6 ―

New Zealand or other Oceania 41 ②16.8 2.3 ①17.7 7.1 ― 2.4 ― 3.0 2.2 2.3 3.0 ― ― 4.9 ― ―

Used 2,284 ①16.2 4.2 4.9 ②7.1 2.6 3.5 1.7 2.4 0.4 ③5.7 2.7 3.4 0.9 5.2 2.6 0.2

Didn't use 1,694 ①7.5 1.4 2.1 3.2 2.1 2.7 0.7 0.8 0.5 3.5 0.5 1.5 1.4 2.2 1.2 ―

Sample

Outdoor

(fishing,

climbing, etc.)

Riding

(horseback,

rafting, etc.)


tour

Viewing of

theater,

musicals,

concert,

shows, etc.

Sports

viewing

Other event

viewing

Government

operated

gambling

(casinos,

horse racing,

etc.)


Ethnic

cultural

experiences


Don't know

or don't

remember

2016 survey total 4,802 1.3 1.5 0.8 0.7 4.1 1.1 0.5 0.3 1.8 0.1 0.8 2.9 3.3 2.1 52.5 6.3

2015 survey total 5,000 1.2 1.5 0.7 0.6 4.0 1.2 0.3 0.4 1.8 0.1 0.5 2.9 3.4 2.3 52.0 5.8

UK 132 1.7 2.6 2.4 1.5 7.8 5.0 2.6 0.9 2.6 ― 0.8 5.2 5.8 2.4 39 .2 3.0

France 196 0.9 1.9 1.7 0.5 6.7 0.5 1.1 0.6 1.6 ― 0.6 8.5 4.1 1.0 43 .3 4.8

Germany 150 1.3 1.5 0.8 1.3 4.6 2.9 ― ― 1.3 ― ― ②11.0 3.1 1.8 47.8 7.9

Spain 121 ― 1.0 2.0 ― 10.1 2.9 ― 0.6 3.1 ― ― 7.4 ― 5.3 40 .7 8.0

Italy 205 ― 1.8 0.6 ― 2.7 1.4 0.5 0.4 0.6 ― 0.4 ③11.4 1.0 2.7 47.6 2.4

Other countries in western Europe 190 2.2 0.6 ― ― ②8.6 1.0 0.5 ― 0.4 ― ― ①11.1 2.1 1.5 57.9 4.7

Other places in Europe 167 1.9 0.6 ― ― ③7.9 0.7 0.6 ― 2.4 ― 1.0 7.1 1.8 3.8 57.8 4.7

Turkey 23 ― 4.3 ― ― ― 3.1 ― ― 4.3 ― ― ― ― 4.2 53.8 8.5

Other Middle East or Africa 53 1.9 4.1 4.1 1.9 ― 2.3 2.3 2.3 1.5 ― 4.2 1.5 ― 2.3 54.0 4.7

USA east 150 0.7 2.1 3.3 0.7 ①16.8 4.5 ― 0.5 2.0 ― ― 5.9 0.7 2.8 42 .4 5.7

USA west 180 1.1 2.7 0.6 1.1 8.8 4.7 0.6 1.6 3.7 0.6 1.1 1.0 ③9.0 2.4 45 .6 5.3

USA south 44 ― ― ― 2.3 ③5.6 2.2 ― ― 2.8 ― ― ― 2.3 ― 37 .7 12.4

Canada 73 ②7.8 5.8 ― ― 3.4 2.5 ― ― 2.7 ― 1.0 6.1 6.6 6.5 46 .2 4.5

Central/South America or Caribbean 44 1.6 ― ― 2.3 ③4.4 ― 2.2 ― 2.3 ― ― ②5.1 ③4.4 5.1 59.2 1.6

Hawaii (Oahu) 507 3.5 3.6 3.0 0.7 1.5 0.2 0.4 ― 1.1 0.2 0.2 ― ②11.4 2.8 38 .6 5.0

Hawaii (other than Oahu) 121 1.6 3.3 4.5 2.5 2.5 0.8 2.7 0.8 2.3 0.8 1.7 0.8 ②17.1 3.5 28 .2 8.9

Guam 271 2.0 1.3 1.0 0.3 3.8 0.3 0.5 ― 2.3 ― 0.9 ― 6.2 3.7 38 .1 7.1

Saipan 32 7.0 ― ― ― ― ― ― ― ― ― ― ― ― ― 45 .0 3.2

South Pacific islands or other islands 51 2.0 2.4 ― ― ― ― ― ― 1.8 ― ― ― 2.0 ― 50.5 4.8

Shanghai 63 ― 1.1 1.5 ― ②11.1 1.5 ― ― ― ― ― 1.5 ― ― 60.9 3.5

Beijing 23 ― ③8.7 4.1 ― ②13.7 ― 8.4 ― ― ― ― 4.4 ― ― 56.4 8.5

Other China (exc. Hong Kong / Macau) 73 ― 1.3 ― 1.4 1.7 1.4 1.4 ― ― ― ― ③2.9 1.4 ― 78.1 3.6

Hong Kong 158 ― 0.6 ― 0.6 1.4 ― ― 1.3 ③3.9 ― ― ― 0.8 3.5 65.2 4.5

Macau 54 ― ― ― ― ③5.8 2.2 2.2 1.8 5.1 ― ― ― ― ― 54.7 10.9

Taiwan 579 0.3 0.2 0.2 0.2 1.0 0.4 0.4 0.2 1.0 ― 1.5 2.6 ― 1.2 64.7 6.6

Korea 340 0.3 ― 0.3 ― ①7.0 ― 0.4 0.6 0.6 0.3 1.4 0.6 ― 1.0 66.1 7.9

Singapore 200 0.4 0.5 0.5 5.9 2.0 0.4 1.0 0.6 6.1 ― 0.5 1.1 ― 1.0 52.5 6.5

Phuket 37 ― 7.8 2.7 ― ②11.6 ― ― ― 1.9 ― ― ― 3.2 2.5 54.8 3.3

Thai beaches (other than Phuket) 27 3.3 ― ― ― ― ― ― ― ― ― ― 4.4 4.4 ― 60.5 ―

Bangkok or other Thai cities 211 0.6 3.0 ― 0.6 1.3 ― ― ― 1.4 ― ― 0.5 1.0 2.3 65.2 6.1

Bali 86 ― 3.9 ― 2.5 2.3 ― ― ― 0.8 ― 2.3 ― 3.4 0.9 36 .7 11.7

Indonesian cities 11 ― ― ― ― ③8.7 ― ― ― ― ― ③8.7 ― ― ― 72.3 ―

Malaysia 82 1.2 1.2 ― 3.8 ― 2.3 ― ― ③4.7 ― ― 1.1 1.2 2.2 54.7 4.5

Philippines 77 ― ― 1.3 ― ― ― ― ― 1.2 ― ― ― ― 1.3 56.3 7.5

Vietnam 154 ― ― ― ― 1.9 ― ― ― 0.8 ― 2.7 0.6 ― ― 66.2 5.8

Cambodia 53 ― ― ― ― ③4.1 ― ― ― 2.3 ― ― ― ― 1.8 63.4 14.2

Other places in Asia 64 ― ― ― ― ― ― ― ― ― ― ― ②3.8 1.5 ― 70.5 11.2

Australia 129 3.7 3.8 2.2 1.3 3.4 0.8 ― 1.0 4.1 ― 1.6 5.6 4.2 ― 30 .9 6.8

New Zealand or other Oceania 41 6.0 1.8 ― ― ― ― ― ― 5.3 ― 3.0 9.3 ③14.9 4.9 33 .1 9.1

Used 2,284 1.6 2.0 1.3 1.2 4.0 1.0 0.4 0.4 2.4 0.1 0.7 1.4 2.0 1.9 48.8 5.3

Didn't use 1,694 1.0 0.9 0.5 0.1 4.6 1.4 0.6 0.3 1.0 0.1 0.6 ③5.4 ②5.7 2.4 59.5 4.2





Package

use

Last

destination

(middle

classification)

Last

destination

(middle

classification)

Package

use

33

■What was booked prior to departure (Total/Multiple answers)


3) What was Booked Prior to Departure (Total)



34

■What was booked at destinations (Total/Multiple answers)

（％）

Sample

City

sightseeing /

Tour to

surrounding

area

Island tourPleasure

cruise

Visit famous

and historic

places

Theme park

Art museums

and historic

museums

Aquariums/

zoos

Shopping

tour

To tour

locations of

filming

Famous

dishes

Dinner

cruise

Beauty

treatments,

spa, massage,

hot springs

GolfingDiving and

snorkeling

Other marine

sports

Skiing and

snowboarding

2016 survey total 4,802 6.8 2.2 2.6 3.2 1.7 4.7 1.9 1.5 0.5 6.1 1.1 4.4 1.2 2.2 1.8 0.2

2015 survey total 5,000 7.0 2.1 2.5 4.0 1.5 4.5 1.5 1.2 0.5 5.6 1.1 5.8 0.7 2.4 1.3 ―

UK 132 ②13.7 5.0 2.6 6.5 6.4 ①19.2 4.5 3.7 1.7 6.2 1.7 1.5 0.8 2.3 ― ―

France 196 ②10.8 3.2 4.2 7.7 1.6 ①17.6 2.1 2.1 1.5 ③8.4 1.5 1.5 0.5 0.5 ― ―

Germany 150 ③4.9 1.5 2.3 4.7 2.4 ①12.7 3.3 0.7 0.7 2.9 ― 1.3 0.5 1.1 ― 0.5

Spain 121 7.9 2.8 2.6 ②9.1 1.6 ①11.7 2.6 2.2 1.6 4.7 ― ― ― ― ― ―

Italy 205 ③7.2 2.6 2.6 5.1 0.6 ①13.9 1.1 1.0 0.5 6.2 ― ― ― ― ― ―

Other countries in western Europe 190 4.2 1.7 2.1 2.6 ― ②7.8 0.4 0.5 ― ③4.5 ― 0.4 ― ― 0.5 ―

Other places in Europe 167 3.5 1.3 1.9 ③4.5 0.6 ①6.6 ― ― ― 2.9 ― 1.5 ― ― 0.7 ―

Turkey 23 3.1 4.1 ― 3.1 ― ― ③4.3 ― ― ― ― ②5.3 ― ― ― ―

Other Middle East or Africa 53 3.2 2.3 1.8 ①10.6 1.9 ②7.9 ― 1.4 2.3 2.8 2.3 1.4 ― 3.7 ― ―

USA east 150 ③11.2 3.5 5.3 4.6 6.3 ②14.0 2.8 3.6 ― 8.5 0.7 1.9 ― 1.1 0.7 ―

USA west 180 ①8.0 2.9 3.3 3.3 5.4 ②6.0 2.0 1.5 0.6 5.4 0.6 1.2 1.6 0.6 1.1 1.8

USA south 44 ②9.5 2.8 4.6 5.0 ①11.8 5.1 5.1 ― ― ③6.7 ― ― ― ― 2.3 ―

Canada 73 ①10.4 1.0 1.0 2.7 1.4 2.3 ― ― ― ②8.8 ― ― 4.0 1.4 ― 2.7

Central/South America or Caribbean 44 ②11.2 2.2 1.8 ③10.5 2.2 ①13.0 ― 2.2 ― 4.3 2.2 2.2 ― 5.5 1.6 ―

Hawaii (Oahu) 507 ②7.5 2.1 3.9 2.2 0.7 1.1 1.8 4.0 0.5 ①8.1 3.4 1.5 2.7 4.8 ③6.2 0.1

Hawaii (other than Oahu) 121 ①8.3 3.7 5.8 2.0 3.8 2.5 0.8 ― ― ③6.7 3.9 2.7 6.0 ③6.7 3.3 ―

Guam 271 4.1 3.0 3.4 0.9 1.0 0.4 1.5 2.6 0.4 ①7.9 2.3 2.7 2.6 ②7.4 ③6.6 ―

Saipan 32 15.1 ②22.9 9.3 6.9 3.2 ― ― 3.2 ― 6.3 ― 13.8 3.8 ①27.6 ③17.2 ―

South Pacific islands or other islands 51 3.9 ②8.2 ― ― ― 2.4 ― 1.9 ― 4.3 2.4 3.4 ― ①21.4 ③4.8 ―

Shanghai 63 ①11.4 ― 3.5 ②8.7 ― 3.1 ― 1.6 1.9 3.2 1.9 4.9 ― ― ― ―

Beijing 23 ②14.1 ― 8.5 8.5 ③8.7 8.3 ― 4.4 ― 4.4 4.4 4.1 4.4 ― ― ―

Other China (exc. Hong Kong / Macau) 73 ①10.8 ― 4.6 4.0 1.4 2.6 1.4 ― ― ③5.6 ― ②6.4 1.3 1.7 ― ―

Hong Kong 158 ②7.6 0.5 ③3.4 2.8 2.5 0.8 0.6 2.8 ― ①7.8 1.2 ③3.4 ― 0.8 ― ―

Macau 54 ①11.3 ― ②6.2 4.1 1.7 4.0 ― 2.2 ― 1.7 ― 2.3 ― 2.3 ― ―

Taiwan 579 3.8 0.5 0.7 3.0 1.1 3.4 0.3 1.2 0.2 ③5.7 0.5 ①7.4 0.8 0.3 ― ―

Korea 340 ③3.2 ― 0.2 1.5 0.6 2.5 0.4 0.3 0.3 ②4.7 0.3 ①8.3 0.9 ― ― 0.3

Singapore 200 ②8.9 1.6 1.6 3.9 3.2 2.0 ①10.9 1.0 ― ③6.8 0.5 5.5 ― 0.6 0.5 ―

Phuket 37 ③9.2 ①17.6 ― 6.0 2.7 ― 3.2 ― ― 6.7 ― 8.4 2.7 5.8 6.6 ―

Thai beaches (other than Phuket) 27 ③6.9 ①11.2 3.5 ― ― ― ― ― ― ― ― ②7.1 ― 3.3 ― ―

Bangkok or other Thai cities 211 ③6.1 1.4 2.6 2.9 0.9 1.0 2.2 ― ― ②7.7 1.7 ①10.9 5.3 ― 0.5 ―

Bali 86 ②12.5 4.2 1.2 7.6 ― 3.9 1.2 2.6 1.1 7.4 ― ①17.7 1.1 2.1 3.7 1.4

Indonesian cities 11 8.1 ― ― ②10.9 ― ― ― ③8.7 ― ③8.7 ― ①25.4 8.1 ― ― ―

Malaysia 82 ③5.6 3.7 2.6 3.0 1.1 2.3 5.2 ― ― ①9.2 1.2 4.2 ― 3.5 4.4 ―

Philippines 77 3.8 6.0 2.2 2.9 1.3 2.8 1.2 2.5 ― 5.0 1.3 ①15.1 ― ②8.8 ③7.0 ―

Vietnam 154 ①11.9 1.9 ③7.1 6.0 ― 1.1 0.7 ― ― 5.7 1.3 ②10.7 ― 0.7 ― ―

Cambodia 53 ③11.7 2.3 ②12.0 11.0 ― 4.6 ― ― ― 4.5 ― ①12.1 ― ― ― ―

Other places in Asia 64 ②8.1 ― 2.6 1.6 ― ― 1.6 ― ― ― ― ①9.2 1.1 ― ― ―

Australia 129 ③12.4 5.2 8.8 2.8 10.8 6.1 ①14.5 2.3 2.3 ②12.6 1.0 0.7 0.6 6.6 3.6 ―

New Zealand or other Oceania 41 ②10.0 3.0 ①11.0 3.0 2.3 4.9 6.5 4.6 4.9 4.1 1.9 ― 1.8 ― 2.3 ―

Sample

Outdoor

(fishing,

climbing, etc.)

Riding

(horseback,

rafting, etc.)


tour

Viewing of

theater,

musicals,

concert,

shows, etc.

Sports

viewing

Other event

viewing

Government

operated

gambling

(casinos,

horse racing,

etc.)


Ethnic

cultural

experiences


Don't know

or don't

remember

2016 survey total 4,802 0.9 1.6 0.6 0.4 3.3 0.6 0.4 0.5 1.3 0.1 0.6 3.2 1.7 1.6 57.8 6.0

2015 survey total 5,000 0.8 1.3 0.7 0.4 3.4 0.9 0.3 0.6 1.4 0.1 0.7 3.3 1.9 1.3 57.9 5.3

UK 132 1.5 0.9 1.5 ― 9.1 1.3 ― ― 0.9 ― ― ③9.8 0.8 1.4 45 .2 4.3

France 196 1.2 1.8 1.1 0.5 5.9 0.9 ― 0.4 2.0 ― ― 4.7 1.0 1.9 53.6 3.9

Germany 150 0.8 2.0 0.7 ― 3.4 0.8 ― 0.7 ― 0.5 0.5 ②6.6 1.3 0.6 65.8 5.9

Spain 121 1.8 1.8 0.6 ― 2.6 2.8 1.4 ― 0.6 ― 0.8 ③8.1 ― ― 59.9 8.4

Italy 205 0.6 0.6 0.9 ― 1.4 0.7 0.5 ― 1.1 ― ― ②8.2 ― 1.1 62.8 4.5

Other countries in western Europe 190 0.6 ― ― ― 2.1 ― ― ― ― ― ― ①8.8 0.6 1.0 70.1 3.1

Other places in Europe 167 1.2 0.7 ― ― 3.9 0.7 ― ― 0.7 ― ― ②4.9 ― 2.8 70.9 2.7

Turkey 23 ― ①8.2 ― ― ― ― ― ― ③4.3 ― ― ― ― ― 62.5 9.5

Other Middle East or Africa 53 1.9 4.0 1.8 ③4.1 3.3 ― ― ― 1.7 ― ― 2.8 ― ― 64.6 2.3

USA east 150 2.3 1.6 0.7 ― ①17.3 2.1 0.7 ― 2.8 ― ― 3.4 1.3 0.7 44 .8 5.2

USA west 180 1.1 2.7 2.1 1.1 ③5.9 2.0 0.6 2.8 2.3 0.6 0.6 2.5 4.9 2.8 52 .2 8.9

USA south 44 ― ― ― ― ― ― ― ― ― ― ― ― ― 2.8 49 .9 11.3

Canada 73 2.6 ③7.2 1.0 1.0 3.4 1.7 1.0 ― 1.4 ― 2.4 5.5 1.4 1.7 53.2 2.4

Central/South America or Caribbean 44 1.6 ― ― ― 4.5 ― ― ― 2.3 ― 2.3 5.5 2.1 2.8 56.4 1.6

Hawaii (Oahu) 507 0.3 1.5 1.2 0.4 2.1 ― 0.2 0.1 1.0 0.4 0.8 ― 4.1 2.4 52 .4 5.6

Hawaii (other than Oahu) 121 0.6 0.8 3.6 1.5 2.8 ― 0.8 ― 1.6 ― 0.8 ― ①8.3 2.2 43 .3 5.9

Guam 271 1.3 2.3 0.4 ― 2.5 ― 0.3 ― 0.4 ― 1.0 ― 4.9 2.7 50 .9 8.3

Saipan 32 3.9 6.0 5.4 3.1 2.3 ― ― 3.0 ― ― ― ― 3.0 ― 22 .5 9.5

South Pacific islands or other islands 51 ― ― ― 1.9 ― ― ― ― 1.9 ― ― ― 2.0 2.4 51 .6 7.7

Shanghai 63 ― 2.7 ― ― ③5.9 ― ― ― ― ― ― ― ― ― 56.7 9.3

Beijing 23 ― 4.4 4.1 4.1 ①22.2 ― 4.0 ― ― 5.2 ― ― ― ― 55.5 ―

Other China (exc. Hong Kong / Macau) 73 ― 1.7 ― 1.4 3.0 ― 1.6 ― 1.7 1.6 ― 3.3 ― ― 61.2 1 .0

Hong Kong 158 ― ― ― ― ― ― 0.8 1.3 1.6 ― ― 2.5 0.6 1.5 68.1 3.7

Macau 54 ― ― ― ― 2.3 ― ― ③5.4 4.6 ― ― 1.7 ― ― 62.9 6.9

Taiwan 579 0.2 0.3 0.4 ― 1.8 0.3 0.2 0.2 1.6 ― 1.1 ②6.2 0.7 1.4 64.0 6.7

Korea 340 ― 0.4 ― ― 2.5 0.6 0.3 0.9 0.6 ― 0.6 1.7 0.7 1.5 68.3 7.3

Singapore 200 ― 2.6 ― 2.5 2.1 0.9 ― 2.4 1.5 0.5 0.8 2.3 0.8 1.6 54.9 6.4

Phuket 37 ― ②11.7 ― ― 1.9 ― 2.7 ― ― ― ― 2.7 ― 2.5 49 .3 5.8

Thai beaches (other than Phuket) 27 ― ― 2.6 ― ― ― ― ― ― ― ― 4.4 3.6 ― 60.6 3.6

Bangkok or other Thai cities 211 1.0 3.5 ― ― 2.7 1.3 ― ― 0.6 ― 1.1 3.2 3.8 1.6 54.2 5.0

Bali 86 3.2 2.3 1.4 ― ③11.7 1.1 1.4 ― ― ― 4.0 ― 2.0 ― 35 .7 10.0

Indonesian cities 11 6.9 ― ― ― ― ― ― ― ― 8.1 ③8.7 ― 6.9 ― 45.9 10.9

Malaysia 82 1.2 0.9 ― 1.2 ― ― ― ― 3.1 ― 0.9 ②6.6 1.1 1.5 58.9 3.9

Philippines 77 2.2 0.9 4.1 ― 0.9 1.3 2.2 1.3 3.8 ― ― ― 1.3 1.2 45 .3 4.8

Vietnam 154 1.2 0.8 ― 0.6 5.4 ― ― ― 1.6 ― ― 0.6 ― 1.4 59.4 4.4

Cambodia 53 ― 2.3 ― ― 2.3 ― ― 2.3 2.3 ― ― ― ― ― 48 .9 6.3

Other places in Asia 64 1.6 ③5.0 ― ― 4.2 ― ― ― 3.4 ― ― ― 1.6 3.5 68.5 5.0

Australia 129 5.2 7.8 1.6 1.9 0.6 1.5 ― 1.9 3.6 ― 1.9 5.9 1.5 1.0 33 .9 6.3

New Zealand or other Oceania 41 6.6 ③9.5 ― ― 6.1 2.3 2.4 ― 4.7 ― ― 2.3 8.4 1.9 46 .8 7.2





Last

destination

(middle

classification)

Last

destination

(middle

classification)


4) What was Booked at Destinations (Total)



35

■Total amount used at destinations (Those involved in considering travel plans/Single answer)

Sample

9,999

yen or

less

10,000-

19,999

yen

20,000-

29,999

yen

30,000-

39,999

yen

40,000-

49,999

yen

50,000-

79,999

yen

80,000-

99,999

yen

100,000

-

149,999

yen

150,000

-

199,999

yen

200,000

-

249,999

yen

250,000

yen or

more

No

ans.

2016

survey

2015

survey


2016 survey total 3,979 1.3 2.3 3.4 5.2 3.7 15.8 6.1 14.8 9.8 8.9 27.4 1.2 21.9 0.3

2015 survey total 4,198 1.3 2.5 3.5 4.0 3.8 14.4 6.9 15.6 9.4 8.7 28.7 1.2 21.6

Sex Male 2,047 1.4 2.1 2.8 4.8 3.8 14.5 6.7 15.7 10.6 8.7 27.7 1.2 23.1 21.6 1.5

Female 1,932 1.3 2.5 4.0 5.6 3.6 17.2 5.5 13.8 9.0 9.1 27.0 1.3 20.6 21.7 ▲ 1.1

Male 18-29 yrs 278 2.8 2.1 2.8 3.6 3.6 14.0 7.0 15.8 10.9 8.5 26.6 2.3 20.2 23.4 ▲ 3.2

Male 30-39 yrs 417 1.0 1.4 2.6 3.8 3.4 13.7 6.3 14.9 12.3 10.6 29.1 1.0 21.9 21.5 0.4

Male 40-49 yrs 483 2.0 2.0 2.2 6.2 4.5 12.2 8.5 16.0 9.5 7.7 28.2 1.0 21.4 20.9 0.5

Male 50-59 yrs 380 ― 1.2 3.2 3.7 4.0 15.7 5.7 17.0 13.0 9.2 25.9 1.2 21.5 22.2 ▲ 0.7

Male 60 yrs or older 489 1.3 3.5 3.3 5.5 3.5 16.9 5.8 15.1 8.3 7.8 28.2 0.8 28.6 21.0 7.6

Female 18-29 yrs 472 1.3 2.6 4.2 3.7 2.6 20.7 7.1 13.1 12.0 8.6 23.0 1.0 18.4 20.1 ▲ 1.7

Female 30-39 yrs 422 1.4 1.7 3.1 5.9 2.8 13.7 6.1 15.3 9.0 9.4 30.2 1.4 20.7 21.3 ▲ 0.6

Female 40-49 yrs 378 1.2 2.4 4.1 7.3 3.4 16.5 4.4 14.3 8.7 10.0 27.2 0.5 21.5 22.7 ▲ 1.2

Female 50-59 yrs 316 1.7 3.4 3.4 5.2 4.4 14.7 5.2 14.7 6.9 11.5 26.8 2.0 19.8 23.3 ▲ 3.5

Female 60 yrs or older 345 0.9 2.6 5.4 6.3 5.4 19.6 4.3 11.6 7.4 6.0 28.7 2.0 23.3 21.1 2.2

Kanto 2,517 1.5 2.5 3.6 4.8 3.4 15.0 5.7 15.2 9.8 9.6 27.7 1.1 22.0 21.5 0.5

Kansai 935 1.2 2.0 2.5 5.0 3.7 17.6 7.9 13.4 8.8 7.4 28.5 2.0 23.0 22.0 1.0

Tokai 526 0.8 1.8 4.1 6.9 5.1 16.4 5.2 15.2 11.8 8.2 24.1 0.4 19.5 21.3 ▲ 1.8

Worker (child 7 yrs and over) 1,429 0.8 2.1 3.3 5.4 4.7 16.1 4.9 14.6 8.7 8.6 29.5 1.3 25.0 22.6 2.4

Worker (child 2-6 yrs) 196 0.9 2.0 0.6 2.1 0.6 11.4 7.3 18.4 8.0 12.3 35.8 0.6 29.1 27.2 1.9

Worker (child 1 yr and under) 105 ― 1.9 4.9 6.1 1.9 13.9 4.2 11.5 13.4 10.0 28.8 3.5 20.6 20.0 0.6

Worker (married, no children) 862 1.4 1.6 1.9 5.0 2.8 14.7 6.2 14.5 11.8 8.0 30.3 1.7 22.8 24.8 ▲ 2.0

Worker (unmarried) 1,250 1.9 2.9 4.7 5.6 3.6 16.8 7.5 15.2 9.2 9.4 22.5 0.8 17.2 18.2 ▲ 1.0

Unmarried male 652 1.7 3.0 4.0 5.2 3.9 14.8 7.7 16.8 9.2 10.2 22 .2 1.3 18.1 18.7 ▲ 0.6

Unmarried female 20s/30s 515 2.1 3.1 5.5 5.3 3.5 19.1 7.6 13.5 11.2 8.3 20 .5 0.2 15.4 16.6 ▲ 1.2

Unmarried female 40s and over 217 2.5 2.9 4.9 5.8 4.8 18.4 5.6 12.8 8.1 7.7 26.0 0.4 18.0 18.3 ▲ 0.3

Student 135 2.5 3.6 5.4 2.9 6.4 19.0 5.8 12.7 14.5 6.6 19 .5 1.1 16.4 14.6 1.8

Light 584 1.1 2.6 2.3 4.9 2.7 16.1 6.3 18.6 10.6 8.2 25.3 1.4 20.5 21.1 ▲ 0.6

Middle 995 1.1 2.4 3.5 5.1 4.7 17.8 6.7 12.4 9.1 9.3 26.4 1.5 19.6 20.9 ▲ 1.3

Heavy 2,400 1.5 2.2 3.7 5.2 3.6 14.9 5.9 14.8 9.9 8.9 28.3 1.1 23.2 22.0 1.2




† "Total amount" includes expenses used locally for things other than "shopping," "meals," and "sightseeing and activities"

Average (in 10s of 1000s of yen)

Sex & age

Area of

residence

Life

stage

Number of

trips taken

0

5

10

15

20

25

30

2016 survey total

2015 survey total

（％）

10. Amount of Money Used at Destinations

1) Total



36

■Amount of money used for shopping at destination (Those involved in considering travel plans/Single answer)

Sample

4,999 yen

or less

5,000-

9,999 yen

10,000-

19,999

yen

20,000-

29,999

yen

30,000-

49,999

yen

50,000-

99,999

yen

100,000

yen or

more

No ans.2016

survey

2015

survey


2016 survey total 3,979 6.2 7.3 23.3 17.2 14.9 17.4 12.2 1.6 4.3 ▲ 0.4

2015 survey total 4,198 5.7 7.5 21.1 16.8 17.8 16.0 13.4 1.7 4.7

Sex Male 2,047 7.7 7.2 23.7 17.1 13.6 17.4 11.7 1.6 4.2 4.4 ▲ 0.2

Female 1,932 4.5 7.5 22.9 17.3 16.2 17.3 12.7 1.6 4.4 5.0 ▲ 0.6

Male 18-29 yrs 278 9.0 7.0 23.0 15.8 16.0 15.5 10.9 2.8 3.9 4.5 ▲ 0.6

Male 30-39 yrs 417 7.2 8.2 26.4 16.1 13.0 17.1 11.1 1.0 4.1 4.3 ▲ 0.2

Male 40-49 yrs 483 9.0 9.5 24.9 16.2 12.2 17.2 9.7 1.2 3.4 3.9 ▲ 0.5

Male 50-59 yrs 380 9.0 5.2 22.4 17.7 12.2 17.2 14.5 1.7 4.8 5.3 ▲ 0.5

Male 60 yrs or older 489 5.3 5.8 21.7 19.1 15.1 19.1 12.3 1.5 4.7 4.1 0.6

Female 18-29 yrs 472 4.7 9.2 24.6 16.2 18.8 16.2 8.4 1.8 3.4 4.4 ▲ 1.0

Female 30-39 yrs 422 5.4 6.8 21.9 17.9 13.2 17.2 16.0 1.4 4.9 4.4 0.5

Female 40-49 yrs 378 5.8 9.0 25.0 17.2 15.8 15.0 11.7 0.5 4.2 5.9 ▲ 1.7

Female 50-59 yrs 316 2.9 7.4 22.4 17.9 15.5 16.0 15.7 2.2 5.1 6.0 ▲ 0.9

Female 60 yrs or older 345 3.1 4.3 19.9 17.6 17.3 22.7 12.8 2.3 5.0 4.5 0.5

Kanto 2,517 6.1 7.2 23.6 17.2 14.8 17.9 11.6 1.5 4.1 4.8 ▲ 0.7

Kansai 935 6.7 7.1 23.5 16.1 14.4 16.2 13.8 2.2 4.8 4.6 0.2

Tokai 526 5.5 8.1 21.9 19.1 15.7 16.8 12.0 0.8 4.4 4.3 0.1

Worker (child 7 yrs and over) 1,429 3.8 5.0 20.0 18.5 14.7 20.5 15.9 1.5 5.0 5.0 0.0

Worker (child 2-6 yrs) 196 5.1 5.3 16 .5 17.6 13.6 22.5 19.0 0.6 7.1 6.0 1.1

Worker (child 1 yr and under) 105 2.1 4.9 23.1 19.3 13.8 20.9 11.6 4.2 3.7 5.7 ▲ 2.0

Worker (married, no children) 862 5.7 7.2 23.3 17.4 13.4 18.7 11.9 2.4 4.1 5.0 ▲ 0.9

Worker (unmarried) 1,250 9.4 10.1 27.5 15.4 16.6 12 .0 7.9 1.1 3.4 4.0 ▲ 0.6

Unmarried male 652 12.1 10.1 29.2 15.3 14.2 10 .4 7 .0 1.8 3.2 3.6 ▲ 0.4

Unmarried female 20s/30s 515 6.7 11.3 26.2 15.7 17.7 14.0 8.1 0.4 3.3 3.5 ▲ 0.2

Unmarried female 40s and over 217 7.1 8.9 27.6 16.0 18.1 14.1 7.7 0.4 3.6 5.5 ▲ 1.9

Student 135 9.1 11.9 30.3 16.5 11.7 14.7 4 .7 1.1 2.9 2.5 0.4

Light 584 5.5 4.6 23.0 18.1 18.1 18.5 10.5 1.6 3.9 4.3 ▲ 0.4

Middle 995 4.2 7.1 22.8 17.1 16.6 19.1 11.0 2.0 4.2 4.3 ▲ 0.1

Heavy 2,400 7.1 8.1 23.6 17.1 13.3 16.4 13.0 1.4 4.5 4.9 ▲ 0.4





Sex & age

Area of

residence

Life

stage

Number of

trips taken

0

5

10

15

20

25

30

2016 survey total

2015 survey total

（％）

10. Amount of Money Used at Destinations2) Shopping Costs



37

■Amount of money used for meal costs at destination (Those involved in considering travel plans/Single answer)

Sample

4,999 yen

or less

5,000-

9,999 yen

10,000-

19,999

yen

20,000-

29,999

yen

30,000-

49,999

yen

50,000-

99,999

yen

100,000

yen or

more

No ans.2016

survey

2015

survey


2016 survey total 3,979 7.6 8.3 25.6 20.4 17.6 13.8 5.1 1.6 2.8 ▲ 0.1

2015 survey total 4,198 7.6 9.3 23.5 20.8 18.3 13.4 5.2 1.8 2.9

Sex Male 2,047 5.9 6.6 25.7 21.6 18.1 14.3 6.3 1.5 3.1 3.1 0.0

Female 1,932 9.4 10.1 25.5 19.1 17.0 13.3 3.8 1.8 2.6 2.6 0.0

Male 18-29 yrs 278 5.7 7.5 30.2 18.9 19.1 14.0 2.3 2.3 2.6 2.8 ▲ 0.2

Male 30-39 yrs 417 4.3 6.7 23.8 22.8 20.4 13.0 7.9 1.0 3.2 3.0 0.2

Male 40-49 yrs 483 5.7 6.0 26.4 24.9 14.5 16.7 4.7 1.0 2.8 2.9 ▲ 0.1

Male 50-59 yrs 380 3.0 6.0 23.9 23.2 21.4 12.7 8.2 1.5 3.2 3.6 ▲ 0.4

Male 60 yrs or older 489 9.8 7.1 25.2 17.6 16.4 14.6 7.3 2.0 3.6 3.3 0.3

Female 18-29 yrs 472 6.5 11.0 27.5 21.7 17.0 11.5 2.9 1.8 2.3 2.3 0.0

Female 30-39 yrs 422 7.1 9.7 22.2 17.9 19.8 17.7 4.0 1.7 2.8 2.6 0.2

Female 40-49 yrs 378 8.0 9.2 26.5 18.7 19.2 13.3 4.4 0.7 2.8 2.8 0.0

Female 50-59 yrs 316 9.6 9.8 23.3 21.6 17.2 12.3 3.9 2.2 2.7 2.6 0.1

Female 60 yrs or older 345 17.6 10.8 27.6 15 .1 11 .1 11.4 4.0 2.6 2.2 2.4 ▲ 0.2

Kanto 2,517 7.1 8.2 24.8 20.4 18.1 14.7 5.2 1.5 2.9 3.0 ▲ 0.1

Kansai 935 8.3 7.7 27.1 19.8 16.6 13.0 5.1 2.4 2.8 2.7 0.1

Tokai 526 8.9 9.8 26.5 21.5 16.8 11.5 4.4 0.7 2.6 2.3 0.3

Worker (child 7 yrs and over) 1,429 9.1 7.2 24.5 18.1 17.8 14.6 6.7 2.0 3.1 3.1 0.0

Worker (child 2-6 yrs) 196 5.2 1 .9 16 .1 22.7 19.1 21.8 12.6 0.6 4.2 3.8 0.4

Worker (child 1 yr and under) 105 6.3 7.4 15 .2 21.9 21.5 17.9 6.2 3.5 3.0 2.7 0.3


Worker (unmarried) 1,250 7.4 11.6 30.5 22.3 14.2 10.5 2.6 0.9 2.3 2.3 0.0

Unmarried male 652 5.8 9.7 30.4 23.2 15.1 11.2 3.3 1.3 2.5 2.6 ▲ 0.1

Unmarried female 20s/30s 515 7.8 14.1 30.0 20.4 15.4 9.8 2.0 0.6 2.0 1.9 0.1

Unmarried female 40s and over 217 12.4 11.5 30.6 20.7 13.3 8 .1 2.8 0.4 2.2 2.0 0.2

Student 135 9.2 11.8 27.8 16.9 20.7 7 .0 4.5 2.0 2.3 1.9 0.4

Light 584 7.9 8.5 27.4 20.9 15.6 14.7 3.6 1.4 2.7 2.6 0.1

Middle 995 7.5 9.8 26.9 19.9 17.6 12.5 3.8 2.1 2.5 2.5 0.0

Heavy 2,400 7.6 7.7 24.5 20.5 18.0 14.2 6.0 1.5 3.0 3.1 ▲ 0.1





Sex & age

Area of

residence

Life

stage

Number of

trips taken

0

5

10

15

20

25

30

2016 survey total

2015 survey total

（％）

10. Amount of Money Used at Destinations3) Meal Costs



38

■Amount of money used for sightseeing and activities at destination (Those involved in considering travel plans/Single answer)

Sample

4,999 yen

or less

5,000-

9,999 yen

10,000-

19,999

yen

20,000-

29,999

yen

30,000-

49,999

yen

50,000-

99,999

yen

100,000

yen or

more

No ans.2016

survey

2015

survey


2016 survey total 3,979 20.5 6.7 21.2 14.9 14.2 13.1 6.9 2.4 2.8 0.0

2015 survey total 4,198 19.3 6.9 20.6 16.0 14.1 14.0 6.5 2.6 2.8

Sex Male 2,047 16.4 6.0 21.0 16.4 15.3 14.0 8.6 2.3 3.2 3.2 0.0

Female 1,932 24.9 7.5 21.4 13.3 13.1 12.2 5.2 2.5 2.4 2.4 0.0

Male 18-29 yrs 278 12 .4 5.9 22.7 17.6 17.6 13.7 6.2 3.9 3.0 3.2 ▲ 0.2

Male 30-39 yrs 417 13 .2 5.5 20.9 16.3 17.5 16.6 8.4 1.4 3.3 3.3 0.0

Male 40-49 yrs 483 16.0 6.5 23.4 15.5 15.0 13.7 8.7 1.2 3.1 3.6 ▲ 0.5

Male 50-59 yrs 380 17.0 6.2 22.2 16.2 13.7 12.0 10.2 2.5 3.0 3.2 ▲ 0.2

Male 60 yrs or older 489 21.4 5.8 16.6 16.9 13.9 13.9 8.6 3.0 3.5 2.8 0.7

Female 18-29 yrs 472 19.4 7.9 23.0 13.9 15.4 11.5 6.8 2.1 2.5 2.2 0.3

Female 30-39 yrs 422 23.3 7.8 19.8 14.2 12.3 15.3 5.4 1.9 2.6 2.3 0.3

Female 40-49 yrs 378 25.7 8.3 23.8 12.1 11.7 12.1 4.9 1.5 2.3 2.6 ▲ 0.3

Female 50-59 yrs 316 27.0 7.9 21.1 13.5 13.0 9.8 4.7 2.9 2.3 2.7 ▲ 0.4

Female 60 yrs or older 345 31.3 5.4 18.8 12.8 12.5 11.4 3.4 4.5 2.3 2.3 0.0

Kanto 2,517 20.3 6.6 20.4 14.7 15.2 13.5 6.8 2.4 2.8 2.9 ▲ 0.1

Kansai 935 20.6 6.5 23.1 14.4 12.1 12.9 7.3 3.1 2.9 2.8 0.1

Tokai 526 21.1 7.8 21.5 17.0 13.3 11.6 6.6 1.2 2.6 2.7 ▲ 0.1

Worker (child 7 yrs and over) 1,429 22.4 6.3 18.9 14.6 14.1 12.8 7.9 3.1 3.0 3.1 ▲ 0.1

Worker (child 2-6 yrs) 196 17.5 2.7 18.9 16.9 14.0 19.7 9.1 1.1 3.3 3.6 ▲ 0.3

Worker (child 1 yr and under) 105 22.8 3.0 15 .7 15.2 11.0 16.1 11.3 4.8 3.1 2.5 0.6


Worker (unmarried) 1,250 20.2 8.0 23.8 14.3 15.1 12.3 5.1 1.3 2.5 2.6 ▲ 0.1

Unmarried male 652 16.9 6.4 24.7 15.2 15.7 12.9 6.5 1.6 2.9 3.2 ▲ 0.3

Unmarried female 20s/30s 515 21.8 9.5 22.9 14.2 14.7 11.4 4.5 0.9 2.2 1.9 0.3

Unmarried female 40s and over 217 23.4 10.6 24.3 12.8 13.0 11.5 3.6 0.9 2.2 1.9 0.3

Student 135 15 .5 9.8 25.4 16.6 14.2 10.6 6.7 1.1 2.5 2.2 0.3

Light 584 17.4 6.5 21.2 15.2 14.7 15.5 6.9 2.6 3.0 3.0 0.0

Middle 995 21.8 6.4 23.4 14.4 13.8 11.2 6.2 2.7 2.5 2.6 ▲ 0.1

Heavy 2,400 20.7 6.9 20.3 15.0 14.3 13.3 7.2 2.2 2.9 2.9 0.0





Sex & age

Area of

residence

Life

stage

Number of

trips taken

0

5

10

15

20

25

30

2016 survey total

2015 survey total

（％）

10. Amount of Money Used at Destinations4) Sightseeing and Activity Costs



2016 Survey

(n=3,979) (%) Ranking (n=2,517) Ranking (n=935) Ranking (n=526) Ranking (n=4,198)

1 JAL n=698 17.6 2 18.9 1 13.9 1 17.6 1 17.9 ―

2 ANA n=662 16.6 1 19.7 2 10.3 2 13.4 2 15.3 ↑

3 Delta Air Lines n=263 6.6 3 7.1 4 5.3 3 6.4 3 6.3 ―

4 China Airlines n=137 3.4 5 2.9 6 3.7 4 5.4 5 3.4 ―

5 Korean Air n=126 3.2 4 3.0 7 3.2 7 4.0 4 3.6 ―

6 Singapore Airlines n=113 2.9 8 2.1 5 4.3 7 4.0 11 2.2 ―

6 United Airlines n=113 2.8 5 2.9 15 2.1 7 3.9 6 3.3 ―

8 Lufthansa n=105 2.6 7 2.6 15 2.1 7 4.0 8 2.8 ―

9 Thai Airways n=90 2.3 10 1.9 18 2.1 5 4.5 12 2.0 ―

10 Asiana Airlines n=85 2.1 9 1.9 11 2.7 13 2.2 9 2.5 ―

11 Vietnam Airlines n=84 2.1 11 1.6 8 2.8 11 3.2 10 2.3 ―

12 Cathay Pacific Airways n=81 2.0 16 1.4 13 2.4 6 4.4 7 2.8 ―

13 Qatar Airways n=71 1.8 13 1.5 8 2.7 17 1.4 16 1.6 ―

14 Air France n=68 1.7 11 1.7 18 2.1 17 1.2 13 2.0 ―

15 Peach Aviation n=66 1.7 41 0.4 3 5.6 25 0.5 15 1.6 ―

16 Finnair n=65 1.6 19 1.1 13 2.5 12 2.8 14 1.8 ―

17 Emirates n=62 1.6 21 1.0 8 2.8 14 1.9 17 1.5 ―

18 Jetstar n=51 1.3 25 1.0 15 2.2 21 0.9 22 1.2 ―

19 Eva Air n=48 1.2 15 1.5 27 1.0 34 0.2 19 1.4 ―

20 Hawaiian Airlines n=46 1.2 21 1.0 18 2.0 27 0.3 20 1.3 ―

20 Vanilla Air n=46 1.1 13 1.5 40 0.2 21 0.9 24 1.0 ―

22 KLM Royal Dutch Airlines n=44 1.1 29 0.7 12 2.6 25 0.5 24 1.0 ―

22 Air Canada n=44 1.1 21 1.0 24 1.1 17 1.2 22 1.2 ―

24 Alitalia n=43 1.1 16 1.4 30 0.8 34 0.2 18 1.4 ―

24 Turkish Airlines n=43 1.1 19 1.1 23 1.3 24 0.8 21 1.2 ―

26 AirAsia X n=41 1.0 25 1.0 21 1.6 27 0.4 26 1.0 ―

27 Garuda n=40 1.0 18 1.1 24 1.2 34 0.2 26 1.0 ―

28 Air China n=36 0.9 31 0.6 22 1.3 16 1.5 35 0.6 ―

29 American Airlines n=32 0.8 21 1.0 34 0.4 27 0.4 29 0.9 ―

30 China Eastern Airlines n=31 0.8 33 0.6 28 0.8 14 1.8 29 0.8 ―

31 Philippines Airlines n=28 0.7 31 0.6 30 0.8 20 1.2 28 0.9 ―

31 British Airways n=28 0.7 27 0.9 37 0.3 27 0.4 31 0.8 ―

33 Malaysia Airlines n=23 0.6 29 0.7 32 0.6 34 0.2 33 0.7 ―

34 TransAsia Airways n=21 0.5 37 0.5 28 0.8 54 ― 49 0.2 ―

34 Austrian Airlines n=21 0.5 28 0.8 57 ― 34 0.1 36 0.5 ―

36 Air New Zealand n=20 0.5 33 0.6 34 0.4 27 0.4 32 0.7 ―

37 Jeju Air n=19 0.5 50 0.2 26 1.1 21 1.0 34 0.6 ―

38 Qantas n=18 0.5 33 0.5 40 0.2 27 0.5 41 0.3 ―

39 Etihad Airways n=15 0.4 39 0.5 40 0.2 34 0.2 37 0.4 ―

40 SriLankan Airlines n=14 0.3 33 0.5 57 ― 54 ― 49 0.2 ―

41 Scoot n=13 0.3 37 0.5 57 ― 54 ― 44 0.3 ―

42 Swiss International Airlines n=12 0.3 40 0.4 57 ― 34 0.2 38 0.3 ―

43 Air Indian n=11 0.3 45 0.3 32 0.5 54 ― 46 0.2 ―

44 Scandinavian Airlines n=9 0.2 45 0.2 37 0.4 54 ― 38 0.3 ―

44 Hong Kong Express Airways n=9 0.2 42 0.3 47 0.1 34 0.2 38 0.3 ―

44 Jetstar Asia Airways n=9 0.2 45 0.2 40 0.2 34 0.2 48 0.2 ―

47 Spring Airlines n=7 0.2 58 0.1 34 0.4 34 0.2 56 0.1 ―

47 Air Busan n=7 0.2 48 0.2 40 0.2 54 ― 49 0.2 ―

47 Aeroflot n=7 0.2 42 0.3 57 ― 54 ― 46 0.2 ―

47 Tigerair Taiwan n=7 0.2 42 0.3 57 ― 54 ― * * *

51 Dragonair n=6 0.2 48 0.2 47 0.1 34 0.1 65 ― ―

51 Eastar Jet n=6 0.2 52 0.1 37 0.3 54 ― 65 ― ―

51 Asian Air n=6 0.2 52 0.1 47 0.1 27 0.5 56 0.1 ―

51 China Southern Airlines n=6 0.2 50 0.2 47 0.1 34 0.2 44 0.3 ―

51 Cebu Pacific Air n=6 0.1 58 0.1 40 0.3 34 0.2 49 0.2 ―

56 Air Macau n=5 0.1 58 0.1 40 0.3 34 0.2 60 ― ―

57 Aero Mexico n=4 0.1 52 0.1 57 ― 34 0.2 41 0.3 ―

57 Air Tahiti Nui n=4 0.1 58 0.1 47 0.1 34 0.2 59 0.1 ―

57 Thai AirAsia X n=4 0.1 52 0.1 47 0.1 54 ― 54 0.1 ―

57 South African Airways n=4 0.1 58 0.1 47 0.1 34 0.2 74 ― ―

61 Siberia Airlines (S7 Airlines) n=3 0.1 52 0.1 57 ― 54 ― 74 ― ―

61 Air Caledonia International n=3 0.1 58 0.1 47 0.1 54 ― 49 0.2 ―

61 Miat Mongolian Airlines n=3 0.1 58 0.1 57 ― 34 0.2 74 ― ―

61 Virgin Atlantic n=3 0.1 52 0.1 57 ― 54 ― 41 0.3 ―

65 Jin Air n=1 ― 65 ― 57 ― 54 ― 74 ― ―

65 Aurora (previously SAT Airlines and Vladivostok Avia) n=1 ― 65 ― 57 ― 54 ― 74 ― ―

65 US Airways n=1 ― 65 ― 57 ― 54 ― 65 ― ―

65 Jet Airways n=1 ― 65 ― 57 ― 54 ― 60 ― ―

65 T'Way Airlines n=1 ― 70 ― 47 0.1 54 ― 65 ― ―

65 Hong Kong Airlines n=1 ― 70 ― 57 ― 34 0.2 65 ― ―

65 Pakistan International Airlines n=1 ― 65 ― 57 ― 54 ― 65 ― ―

65 Uzbekistan Airways n=1 ― 70 ― 47 0.1 54 ― 65 ― ―

65 Bangkok Airways n=1 ― 70 ― 57 ― 34 0.1 60 0.1 ―

74 Air Niugini n=0 ― 70 ― 57 ― 54 ― 65 ― ―

74 Asia Atlantic Airlines n=0 ― 70 ― 57 ― 54 ― 58 0.1 ―

74 Shandong Airlines n=0 ― 70 ― 57 ― 54 ― 65 ― ―

74 Jet Asia Airways n=0 ― 70 ― 57 ― 54 ― 74 ― ―

74 Shanghai Airlines n=0 ― 70 ― 57 ― 54 ― 54 0.1 ―

74 Juneyao Airlines n=0 ― 70 ― 57 ― 54 ― 74 ― ―

74 Shenzhen Airlines n=0 ― 70 ― 57 ― 54 ― 74 ― ―

74 Iran Air n=0 ― 70 ― 57 ― 54 ― 74 ― ―

74 Egyptair n=0 ― 70 ― 57 ― 54 ― 60 ― ―

74 Ethiopian Airlines n=0 ― 70 ― 57 ― 54 ― 60 0.1 ―

Other n=31 0.8 0.9 0.8 0.3 0.7 ―

Sea (traveled by ship) n=15 0.4 0.4 0.2 0.6 0.3 ―

Don't know or don't remember n=126 3.2 3.2 3.8 1.9 2.6 ―


† Rate of increase: The arrow indicates increases/decreases for airlines for which there were changes of plus or minus one point between the 2015 survey and 2016 survey.

Rate of

increase

2015 Survey

TotalTotal Kanto Kansai Tokai0 5 10 15 20

2016 Survey （％）

39

■Airline used this time [ranking table] (Those involved in considering travel plans/Single answer)

11. Use of Airlines

41

Chapter 2

Actions Taken for Prior Consideration of Travel

Part 1 Trends in Overseas Travel Booking in 2015 Chapter 2 Actions Taken for Prior Consideration of Travel


■Destinations considered on last trip: by demographic (Those involved in considering travel plans/Multiple answers)

（％）

Sample


Other

countries

in western

Europe

Other

places in

Europe

Middle

East

or Africa

Turkey

Other

Middle

East or

Africa

USA

(excluding

Hawaii and

Alaska)


AlaskaCanada Alaska

Central/

South

America

or

Caribbean

HawaiiHawaii

(Oahu)

Hawaii

(other than

Oahu)

Guam or

SaipanGuam Saipan

2016 survey total 3,979 28.3 6.2 9.3 7.2 6.6 8.9 8.0 8.0 4.7 2.1 3.2 10.7 5.9 6.2 2.0 3.3 3.2 0.4 2.6 18.0 15.3 7.0 11.1 10.3 4.1

2015 survey total 4,198 28.2 6.6 9.8 6.4 6.7 9.0 7.2 7.5 6.7 3.6 3.7 10.6 5.1 6.0 2.2 3.4 3.2 0.6 2.4 19.0 16.4 7.8 9.7 9.1 3.8

Male 2,047 26.3 5.8 9.0 6.9 6.6 8.6 7.5 7.4 4.8 2.3 3.0 10.5 6.4 6.1 2.2 2.9 2.7 0.4 2.9 17.4 14.9 7.3 11.0 10.2 4.2

Female 1,932 30.4 6.6 9.6 7.5 6.5 9.1 8.5 8.6 4.6 1.9 3.4 10.9 5.3 6.3 1.7 3.8 3.6 0.3 2.3 18.7 15.8 6.7 11.3 10.3 3.9

Male 18-29 yrs 278 33.6 9.3 13.7 12.4 11.4 12.7 7.8 6.2 4.7 2.3 2.8 13.7 6.2 9.6 2.6 3.1 2.8 0.3 4.1 20.2 16.5 8.5 14.5 13.7 4.4

Male 30-39 yrs 417 24.0 7.0 11.3 6.7 4.3 7.0 4.6 5.8 5.3 2.4 3.6 12.0 8.2 6.7 1.9 3.1 2.6 1.4 2.9 19.7 16.3 8.9 15.1 14.4 6.0

Male 40-49 yrs 483 17 .0 4.2 7.2 4.5 3.2 5.7 4.7 4.5 5.2 2.0 3.5 8.7 5.7 6.0 2.0 2.5 2.5 ― 2.7 17.5 14.7 6.2 14.2 13.5 5.7

Male 50-59 yrs 380 19 .5 3.5 6.0 3.7 5.7 9.0 4.5 4.7 2.5 1.0 1.5 10.7 5.2 7.7 2.2 2.2 2.0 0.5 1.7 17.0 14.5 7.7 7.7 7.0 2.7

Male 60 yrs or older 489 38.5 6.0 8.3 8.8 9.8 10.3 15.1 14.4 5.8 3.5 3.3 9.1 6.5 2.5 2.5 3.5 3.5 ― 3.3 14.1 13.1 5.8 5 .0 3 .8 2.3

Female 18-29 yrs 472 26.7 8.1 11.3 10.2 8.4 11.0 6.0 5.8 4.2 2.1 2.9 13.6 7.6 7.1 2.9 3.4 3.1 0.5 1.6 22.5 17.5 9.2 16.2 15.4 5.0

Female 30-39 yrs 422 30.4 5.7 10.1 6.1 5.4 8.5 6.8 8.3 4.0 1.4 3.3 12.0 6.4 6.8 1.7 3.1 3.1 0.2 3.1 22.2 20.0 7.8 15.1 14.6 5.0

Female 40-49 yrs 378 20 .6 5.1 7.3 3.9 4.1 5.1 6.1 6.8 4.4 1.0 3.9 9.7 2.9 7.3 1.5 1.7 1.7 ― 1.9 19.4 18.0 5.1 11.4 10.0 4.4

Female 50-59 yrs 316 32.4 7.1 10.1 9.3 7.1 8.6 9.8 8.4 3.7 1.0 2.7 9.6 4.7 5.4 1.7 4.2 3.9 0.5 2.9 14.7 11.5 6.1 7.1 5.7 3.2

Female 60 yrs or older 345 44.3 7.1 8.5 7.7 7.4 12.2 15.3 15.3 6.8 4.0 4.3 8.2 4.0 4.5 0.6 7.1 6.8 0.3 2.0 11 .9 9 .7 4.5 3 .4 2 .8 1.1

Kanto 2,517 29.4 6.5 9.5 7.4 6.5 8.7 8.5 8.3 4.6 1.9 3.2 11.4 6.0 6.9 2.3 3.2 3.1 0.2 2.7 19.7 17.2 7.0 11.4 10.4 4.9

Kansai 935 26.3 5.5 8.7 6.8 6.1 8.8 7.1 6.9 4.6 2.2 3.0 9.0 5.5 4.6 1.3 4.1 3.8 0.7 2.1 14.4 12.1 6.4 10.1 9.3 2.6

Tokai 526 26.4 5.8 8.8 7.1 7.7 9.6 7.3 8.6 5.0 2.7 3.5 10.4 5.8 5.9 1.9 2.7 2.5 0.7 3.1 16.2 12.0 8.1 11.7 11.2 2.9

Worker (child 7 yrs and over) 1,429 31.2 6.1 7.9 6.9 7.2 8.9 10.2 9.8 4.7 2.5 2.8 9.6 5.1 5.1 1.7 3.5 3.4 0.2 2.3 17.2 14.9 6.9 9.1 8.0 3.6

Worker (child 2-6 yrs) 196 17 .5 5.2 8.4 7.2 2.1 4.0 3.1 3.9 4.4 1.8 3.1 11.0 8.5 6.6 2.1 2.9 2.5 0.9 1.5 32.4 29.4 11.1 23.7 23.2 6.9

Worker (child 1 yr and under) 105 20 .6 8.4 7.5 5.2 3.5 4.7 4.4 2 .6 1.2 ― 1.2 8.5 6.0 6.5 2.3 3.3 2.3 0.9 2.8 24.1 20.2 7.9 26.6 26.6 7.5

Worker (married, no children) 862 29.6 5.1 12.3 7.4 7.6 12.1 7.5 8.1 5.9 2.7 4.1 10.7 5.0 6.9 2.9 3.7 3.6 0.5 3.4 22.3 18.9 8.2 10.5 9.5 4.6

Worker (unmarried) 1,250 25.8 6.5 8.5 6.8 5.5 7.6 6.8 7.5 4.2 1.4 3.3 11.7 6.7 6.5 1.8 2.7 2.6 0.4 2.7 13.9 11.3 6.1 10.9 10.0 3.8

Unmarried male 652 23.8 6.6 8.9 7.7 6.1 6.7 5.8 6.0 4.7 1.8 3.3 11.8 6.9 7.3 1.9 2.8 2.7 0.6 2.9 12 .1 9 .7 5.7 9.9 9.0 4.1

Unmarried female 20s/30s 515 28.8 7.4 9.2 8.8 6.8 8.5 7.6 7.0 3.2 1.5 2.6 13.3 7.6 6.7 1.9 3.1 2.8 0.2 2.3 16.1 13.1 6.8 13.1 12.5 3.6

Unmarried female 40s and over 217 29.2 6.5 8.4 4.0 4.5 8.7 9.1 10.5 5.0 0.8 4.6 9.8 4.4 6.2 0.4 3.0 3.0 ― 2.0 12 .2 10 .2 3.5 7.8 7.4 2.0

Student 135 34.0 10.4 14.5 14.0 12.2 9.4 8.3 3.2 4.3 2.9 2.4 15.0 6.7 10.2 0.9 5.4 5.4 ― 0.5 11 .0 9 .5 2.4 9.9 9.9 0.9

Light 584 30.4 8.1 13.8 9.5 6.9 10.4 5.4 5.8 3.2 1.3 2.3 10.9 6.6 5.8 1.3 2.6 2.2 0.9 1.6 22.3 18.0 9.2 14.7 14.0 6.3

Middle 995 26.7 6.4 8.2 9.2 7.6 9.6 6.6 6.3 4.6 2.5 2.7 10.7 6.1 5.6 2.2 3.3 3.2 0.3 2.3 20.9 17.7 8.1 14.9 14.0 4.5

Heavy 2,400 28.4 5.6 8.6 5.8 6.0 8.2 9.2 9.2 5.1 2.1 3.6 10.6 5.6 6.6 2.1 3.5 3.4 0.3 3.0 15.8 13.7 6.0 8.7 7.8 3.3

Sample

South

Pacific

islands or

other

islands

China

(excluding

Hong Kong

and Macau)

Shanghai Beijing

Other

China (exc.

Hong Kong

/ Macau)

Hong Kong


Southeast


Thai

beaches

(other than

Phuket)

Bangkok or

other Thai

cities

Bali

Indonesian

beaches

(other than

Bali)

Indonesian


2016 survey total 3,979 4.5 4.5 2.1 1.1 2.5 7.4 6.9 2.8 16.0 9.6 26.5 8.1 2.4 2.5 7.2 5.1 0.6 1.0 4.1 3.4 6.0 2.7

2015 survey total 4,198 4.4 4.1 2.1 1.1 1.9 7.5 6.8 2.4 14.1 11.1 25.2 6.8 1.9 2.4 6.8 4.8 0.6 1.3 3.6 3.9 5.7 2.9

Male 2,047 4.5 6.1 2.9 1.6 3.3 8.6 8.0 3.6 16.1 7.3 28.9 7.6 2.5 3.2 10.3 4.3 0.6 1.2 4.1 3.5 6.3 3.1

Female 1,932 4.5 2.8 1.2 0.6 1.6 6.1 5.7 1.9 15.9 12.0 23.9 8.6 2.4 1.8 4.0 5.8 0.6 0.8 4.0 3.3 5.7 2.1

Male 18-29 yrs 278 6.2 6.2 3.9 2.1 2.3 7.8 7.5 3.4 15.8 8.5 24.8 9.0 2.1 1.8 8.3 4.7 0.3 1.3 4.1 3.1 4.9 3.4

Male 30-39 yrs 417 4.1 8.2 4.3 3.4 3.4 8.9 8.4 3.8 18.8 7.2 25.7 7.9 1.9 3.6 9.4 3.8 0.5 1.0 2.9 3.6 3.8 2.9

Male 40-49 yrs 483 5.2 4.5 2.5 0.5 2.5 10.5 9.5 4.7 15.2 7.7 35.4 10.5 4.0 4.2 13.2 6.2 0.7 1.5 5.7 3.7 8.0 3.0

Male 50-59 yrs 380 4.7 6.0 2.5 1.2 3.5 10.5 10.0 2.5 18.0 8.0 31.7 5.2 3.2 3.5 12.5 4.0 1.5 1.0 4.7 5.2 5.7 3.0

Male 60 yrs or older 489 3.0 6.0 2.0 1.0 4.3 5.5 5.0 3.3 13.4 5.5 25.2 5.5 1.3 2.5 7.6 3.0 0.3 1.0 3.0 2.0 7.8 3.5

Female 18-29 yrs 472 7.6 3.1 1.6 1.6 1.8 6.3 5.8 2.1 16.2 15.4 26.7 11.5 2.4 2.1 4.5 9.9 0.5 1.0 4.5 5.2 4.2 2.9

Female 30-39 yrs 422 5.0 3.1 1.7 0.2 1.7 5.7 5.2 1.4 16.3 10.4 22.6 7.1 3.3 2.4 5.2 5.2 0.2 0.2 4.0 3.5 5.0 2.1

Female 40-49 yrs 378 3.6 3.2 1.7 0.7 1.5 7.5 7.3 2.2 16.7 13.3 26.5 10.2 3.2 2.9 5.1 4.9 1.2 1.0 4.4 3.9 5.8 1.0

Female 50-59 yrs 316 2.9 1.7 1.0 ― 0.7 6.4 5.9 2.0 16.0 12.5 21 .4 8.1 1.5 1.2 2 .2 4.9 1.0 1.0 4.4 1.5 3.9 2.0

Female 60 yrs or older 345 2.3 2.6 ― 0.3 2.3 4.5 4.3 1.7 13.9 7.4 21 .3 5.1 1.1 ― 2.6 2.8 0.3 0.9 2.6 1.4 9.9 2.6

Kanto 2,517 4.8 4.4 2.3 1.1 2.3 7.3 6.9 2.4 15.3 8.3 25.4 7.8 2.7 2.6 6.7 5.0 0.8 0.9 4.0 3.5 5.1 2.3

Kansai 935 3.8 3.4 1.3 0.6 2.1 7.5 6.7 3.1 17.6 12.5 27.9 9.7 2.2 2.2 7.6 5.4 0.3 1.2 4.4 3.1 7.2 2.6

Tokai 526 4.4 6.7 2.6 1.8 3.6 7.8 7.2 3.6 16.5 10.2 28.7 6.5 1.9 3.0 9.1 4.9 0.7 1.0 3.6 3.5 7.9 4.6

Worker (child 7 yrs and over) 1,429 2.9 4.2 1.4 0.9 2.8 7.1 6.7 2.5 15.0 9.1 25.7 7.6 1.9 2.2 6.3 4.2 0.7 1.0 3.4 2.4 7.6 3.0

Worker (child 2-6 yrs) 196 6.1 5.1 3.2 2.0 1.9 6.6 6.6 2.9 12.0 7.4 21.6 10.9 2.7 2.6 4.7 3.3 1.6 1.0 3.2 2.1 3.4 0.5

Worker (child 1 yr and under) 105 10.0 6.3 5.3 2.1 4.0 8.2 7.3 3.1 12.8 5.9 25.9 9.5 5.0 4.8 3.9 9.1 2.1 2.1 3.1 7.0 4.0 1.9

Worker (married, no children) 862 7.9 2.9 1.9 0.4 1.0 6.1 5.7 2.0 14.9 7.6 26.6 6.9 3.5 2.5 6.6 6.7 0.7 0.7 4.8 4.5 5.2 2.0

Worker (unmarried) 1,250 3.7 5.7 2.6 1.5 3.1 8.9 8.2 3.8 18.8 11.5 28.9 8.6 2.3 2.9 9.6 5.0 0.3 1.1 4.4 3.7 5.3 3.0

Unmarried male 652 3.7 8.4 3.8 1.8 4.7 10.9 10.0 5.1 19.1 8.4 31.5 8.5 2.3 3.8 14.3 3.9 0.3 1.4 4.7 3.5 4.7 3.2

Unmarried female 20s/30s 515 2.7 2.9 1.6 1.4 1.2 6.0 5.6 1.7 18.7 16.2 25.2 10.0 2.4 2.2 5.4 6.3 0.2 0.7 4.7 4.5 5.0 2.8

Unmarried female 40s and over 217 4.1 3.0 0.8 0.9 2.1 7.5 7.0 3.0 16.6 12.0 23.5 6.5 0.8 0.4 3.3 4.0 0.4 1.2 3.3 2.5 7.9 3.0

Student 135 1.3 4.1 2.5 1.4 1.6 5.0 5.0 0.5 15.3 14.5 19 .4 10.2 ― 1.1 6.1 4.2 ― 1.1 4.9 3.0 5.4 3.0

Light 584 5.8 3.7 2.0 1.8 1.0 4.9 4.9 2.2 16.0 9.1 21.8 7.8 2.0 1.4 4.7 5.4 0.3 0.2 2.2 3.4 3.2 1.7

Middle 995 4.4 4.9 2.1 1.1 2.8 7.3 6.8 2.3 19.1 9.2 25.7 10.0 1.6 1.1 5.8 5.1 0.3 0.8 3.8 3.5 6.7 3.6

Heavy 2,400 4.3 4.5 2.2 0.9 2.7 8.0 7.4 3.1 14.7 9.8 27.9 7.4 2.9 3.4 8.4 5.0 0.9 1.2 4.6 3.4 6.3 2.5

Sample

Other

places in

Asia

Oceania Australia

New

Zealand or

other

Oceania

Japan Hokkaido TohokuKita

Kanto

Tokyo

metropolitan

area

Koshinetsu Tokai Hokuriku Kinki Chugoku Shikoku Kyushu Okinawa

2016 survey total 3,979 3.6 7.8 6.1 3.1 11.0 3.8 0.9 0.6 0.9 0.6 0.7 0.7 1.1 0.5 0.6 2.2 5.1

2015 survey total 4,198 3.4 7.0 5.7 2.6 9.6 3.2 0.9 0.3 0.8 0.4 0.5 0.5 1.0 0.6 0.5 1.9 4.3

Male 2,047 4.3 7.4 6.0 3.3 11.7 4.5 1.0 0.6 1.0 0.7 0.7 0.9 1.4 0.5 0.5 2.0 5.3

Female 1,932 3.0 8.1 6.3 2.8 10.4 3.0 0.7 0.6 0.8 0.5 0.6 0.5 0.9 0.5 0.7 2.3 4.9

Male 18-29 yrs 278 2.3 10.9 9.0 4.1 12.4 5.7 1.0 1.3 1.6 0.8 1.0 1.3 1.8 0.5 1.0 3.1 4.1

Male 30-39 yrs 417 4.1 5.8 5.3 2.2 11.5 3.8 1.4 1.2 1.9 1.0 1.2 1.0 2.2 1.0 1.0 2.2 5.5

Male 40-49 yrs 483 4.5 7.0 5.7 2.5 13.2 4.7 0.2 0.2 1.0 0.5 0.7 1.0 1.2 0.7 0.2 1.7 6.7

Male 50-59 yrs 380 3.0 6.2 5.0 3.5 10.5 4.2 0.5 0.2 0.5 0.5 0.5 0.7 0.7 0.2 0.5 1.2 5.5

Male 60 yrs or older 489 6.3 8.3 5.8 4.5 10.8 4.3 1.8 0.3 0.3 0.8 0.3 0.8 1.0 ― 0.3 2.0 4.0

Female 18-29 yrs 472 1.8 10.2 9.2 2.4 11.8 3.7 0.5 0.5 1.0 0.5 1.0 1.0 1.6 0.8 1.0 2.1 4.2

Female 30-39 yrs 422 2.4 9.0 7.1 2.4 14.9 5.2 1.2 0.7 1.2 0.5 0.7 0.5 0.5 0.5 0.7 2.8 10.1

Female 40-49 yrs 378 4.1 6.6 4.9 2.4 6.8 2.2 0.7 1.0 0.7 0.5 0.2 0.2 0.7 0.5 0.7 1.9 3.2

Female 50-59 yrs 316 2.9 7.4 5.2 3.4 6.4 2.0 0.5 0.2 0.5 ― 0.2 ― 0.2 0.2 ― 1.7 2.5

Female 60 yrs or older 345 4.0 6.5 4.3 4.0 10.5 1.1 0.6 0.6 0.3 0.9 0.6 0.6 1.1 0.3 0.6 3.1 3.4

Kanto 2,517 3.4 7.9 6.1 3.2 10.4 3.8 0.8 0.7 0.8 0.6 0.4 0.7 0.7 0.3 0.5 2.1 5.1

Kansai 935 4.0 6.6 5.3 2.8 11.0 3.0 0.6 0.3 1.0 0.1 0.6 0.7 1.8 0.4 0.2 1.4 4.1

Tokai 526 3.8 9.1 7.7 3.0 14.4 5.0 1.4 0.8 1.3 1.3 1.9 1.1 1.9 1.3 1.9 4.1 6.6


Worker (child 2-6 yrs) 196 2.0 7.6 7.1 2.1 16.6 6.0 1.0 1.5 1.7 1.0 1.0 1.0 2.0 1.0 1.5 1.5 12.2

Worker (child 1 yr and under) 105 4.2 7.2 4.4 4.0 17.2 5.6 2.1 1.2 1.2 1.2 1.2 3.0 3.3 1.2 1.2 2.1 8.8

Worker (married, no children) 862 2.7 8.6 6.9 2.7 10.2 3.1 0.4 0.5 0.8 0.2 0.8 0.3 0.5 0.5 0.3 1.7 4.4


Unmarried male 652 5.2 5.9 4.8 3.0 10.5 4.0 0.8 0.7 1.3 0.6 1.0 0.8 1.4 0.4 0.6 3.1 5.0


Unmarried female 40s and over 217 5.3 6.6 4.1 2.9 6.6 2.0 0.4 0.4 ― ― ― ― 0.4 ― 0.4 2.1 2.4

Student 135 2.7 9.4 8.2 3.2 8.5 1.8 0.5 1.4 0.5 0.9 1.4 1.1 2.9 0.9 ― 1.8 1.8

Light 584 1.6 9.7 8.4 3.4 13.2 4.9 1.1 0.7 0.9 0.6 0.8 1.4 1.5 0.8 0.7 2.5 6.5

Middle 995 2.2 7.8 6.4 2.5 12.6 3.9 0.9 0.5 1.1 0.5 0.7 0.5 1.1 0.6 0.7 2.0 5.2

Heavy 2,400 4.7 7.3 5.5 3.3 9.9 3.4 0.8 0.6 0.8 0.6 0.6 0.6 1.0 0.4 0.5 2.2 4.6



Number of

trips taken

Sex

Sex & age

Area of

residence

Life

stage

Oceania Japan

Sex

Sex & age

Area of

residence

Life

stage

China (excluding Hong Kong and Macau) Hong Kong or Macau

Number of

trips taken

Number of

trips taken

Southeast Asia

Sex

Sex & age

Area of

residence

Life

stage

Guam or SaipanEurope Middle East or Africa USA (excluding Hawaii and Alaska) Canada or Alaska Hawaii

1. Destinations Considered / Destinations Decided on (1)



（％）

Sample


Other

countries

in western

Europe

Other

places in

Europe

Middle

East

or Africa

Turkey

Other

Middle

East or

Africa

USA

(excluding

Hawaii and

Alaska)


AlaskaCanada Alaska

Central/

South

America

or

Caribbean

HawaiiHawaii

(Oahu)

Hawaii

(other than

Oahu)

Guam or

SaipanGuam Saipan

2016 survey total 3,979 28.3 6.2 9.3 7.2 6.6 8.9 8.0 8.0 4.7 2.1 3.2 10.7 5.9 6.2 2.0 3.3 3.2 0.4 2.6 18.0 15.3 7.0 11.1 10.3 4.1

2015 survey total 4,198 28.2 6.6 9.8 6.4 6.7 9.0 7.2 7.5 6.7 3.6 3.7 10.6 5.1 6.0 2.2 3.4 3.2 0.6 2.4 19.0 16.4 7.8 9.7 9.1 3.8

UK 247 100.0 100.0 41.4 29.7 23.9 27.5 19.0 23.3 8.7 4.3 6.1 16.7 14.3 11.6 3.9 6.5 5.7 1.2 3.7 9 .0 5 .8 4.9 5 .1 5 .1 1.3

France 368 100.0 27.8 100.0 32.2 30.5 38.3 26.5 17.8 8.1 3.4 6.1 14.6 10.2 9.5 3.7 4.7 3.8 1.2 4.4 11 .1 9 .3 5.0 4 .0 4 .0 1.2

Germany 286 100.0 25.6 41.4 100.0 33.3 33.5 35.9 28.6 11.0 6.1 7.4 12.2 9.8 7.3 3.3 7.1 6.8 1.5 5.1 10 .1 8 .4 5.7 4 .0 4 .0 1.8

Spain 261 100.0 22.5 42.9 36.5 100.0 45.6 26.5 22.2 13.6 6.1 10.1 13.9 9.3 10.0 4.0 5.6 5.2 0.8 5.6 11 .5 9 .3 7.0 1 .5 1 .5 1.2

Italy 353 100.0 19.2 40.0 27.1 33.7 100.0 26.5 20.7 9.5 5.5 6.4 11.5 8.0 7.3 3.4 4.2 4.2 0.6 4.8 10 .4 8 .0 5.5 3 .9 3 .5 1.3

Other countries in western Europe 318 100.0 14.7 30.6 32.3 21.7 29.4 100.0 37.7 13.8 5.8 10.6 9.5 6.1 6.5 2.5 4.5 4.2 0.6 3.2 6 .1 4 .2 4.2 2 .2 1 .9 1.0

Other places in Europe 318 100.0 18.1 20.6 25.7 18.2 23.0 37.8 100.0 12.8 7.2 9.8 8.0 5.4 4.6 2.1 7.4 6.7 1.6 5.8 5 .6 4 .6 4.1 1 .2 0 .6 0.9

Turkey 83 54.3 12.7 14.8 21.0 19.2 23.4 22.1 27.3 100.0 100.0 28.7 12.0 8.2 9.3 4.1 6.5 6.5 1.2 7.3 11 .9 8 .6 8.0 1 .2 1 .2 1.2

Other Middle East or Africa 127 55.9 11.9 17.6 16.6 20.7 17.7 26.7 24.6 100.0 18.9 100.0 13.1 7.3 10.8 4.0 3.1 3.1 1.6 9.0 11 .9 7 .9 7.2 4 .4 4 .4 2.3

USA east 233 35.6 15.2 16.1 12.1 10.4 12.1 8.3 7.3 6.0 2.9 4.0 100.0 100.0 37.5 14.0 14.3 14.3 0.9 9.1 18.5 14.5 10.4 5 .9 5.5 1.8

USA west 248 28.4 11.6 14.1 8.4 10.5 10.4 8.3 5.9 7.4 3.1 5.6 100.0 35.3 100.0 15.0 11.2 10.8 2.0 9.3 21.9 18.7 11.3 6.6 6.3 4.1

USA south 79 24.2 12.3 17.0 12.0 13.2 15.0 10.2 8.6 8.0 4.3 6.5 100.0 41.2 46.9 100.0 16.1 16.1 1.3 18.3 24.9 20.9 16.3 10.3 10.3 9.0

Canada 126 37.2 11.1 11.1 15.4 10.9 11.7 10.6 17.0 5.7 4.3 3.1 36.0 26.5 21.3 10.1 100.0 100.0 6.3 8.0 13.5 12.5 7.4 6.3 6.3 4.5

Alaska 15 56.3 20.6 29.0 29.0 13.7 15.3 13.7 34.2 13.7 6.9 13.7 34.2 13.7 34.2 6.9 100.0 54.5 100.0 6.9 15.3 15.3 15.3 6.9 6.9 6.9

Central/South America or Caribbean 103 39.4 8.8 15.7 14.2 14.3 16.4 9.8 17.8 13.4 5.9 11.1 35.6 20.6 22.3 14.0 9.8 9.8 1.0 100.0 13.6 8 .8 11.9 6.5 5.7 4.6

Hawaii (Oahu) 609 11 .3 2.4 5.6 3.9 4.0 4.6 2 .2 2 .4 2.7 1.2 1.6 11.5 5.6 7.6 2.7 2.6 2.6 0.4 1.5 100.0 100.0 28.1 22.2 21.5 9.1

Hawaii (other than Oahu) 279 15 .9 4.4 6.6 5.8 6.6 7.0 4.8 4.7 5.0 2.4 3.3 14.4 8.7 10.0 4.6 3.4 3.4 0.8 4.4 100.0 61.4 100.0 27.4 25.8 13.9

Guam 408 6 .6 3.1 3 .6 2.8 1 .0 3 .1 1 .5 0 .5 1.4 0.2 1.4 5 .0 3.1 3.8 2.0 1.9 1.9 0.2 1.4 40.9 32.2 17.6 100.0 100.0 30.8

Saipan 161 5 .6 2.0 2 .8 3.2 2.0 2 .7 2 .0 1 .7 1.8 0.6 1.8 7.3 2.6 6.3 4.4 3.5 3.5 0.6 2.9 44.3 34.4 24.1 100.0 77.9 100.0

South Pacific islands or other islands 180 21 .3 4.4 7.7 5.4 6.4 9.5 5.5 7.1 10.8 3.5 8.3 7.9 3.6 7.4 3.1 4.5 4.5 1.2 6.8 41.6 33.3 21.8 31.2 26.1 20.5

Shanghai 84 15 .4 8.5 6.2 6.1 5.5 4.4 4.1 4.7 4.8 2.7 3.3 6.7 6.7 5.8 5.0 2.7 2.7 1.2 3.5 9 .6 4 .9 8.5 8.8 8.8 5.0

Beijing 44 16 .1 9.5 8.9 8.3 8.3 6.7 6.7 6.7 10.5 6.7 7.7 15.7 11.8 11.3 7.4 8.3 8.3 2.3 5.1 9 .5 7 .2 7.4 7.4 7.4 7.4

Other China (exc. Hong Kong / Macau) 98 10 .7 4.5 4 .3 7.7 1.8 4.3 5.2 5.7 4.9 4.0 4.0 3 .0 3.0 2.3 2.3 4.3 4.3 1.0 2.3 3 .3 2 .3 3.3 7.8 6.5 5.3

Hong Kong 274 8 .2 2.3 3 .8 2.6 1 .4 2 .9 2 .4 1 .7 2.3 2.0 1.4 2 .7 2.1 2.1 1.2 1.5 1.2 0.7 1.2 10 .1 7 .7 5.1 13.7 12.7 6.2

Macau 110 6 .3 2.0 2 .9 2 .0 0 .9 2 .7 3.6 3.6 4.9 4.9 1.8 3 .5 2.7 2.9 2.0 3.8 3.8 0.9 2.9 4 .0 3 .2 2.9 10.2 8.4 4.7

Taiwan 636 5 .7 2.4 1 .9 1 .3 1.7 2 .0 1 .6 1 .8 1.8 1.4 0.8 2 .2 1.3 1.7 0.5 0.6 0.5 0.3 1.1 5 .6 4 .3 2.6 9.1 8.2 3.9

Korea 381 4 .1 1.8 1 .2 1 .4 1 .0 2 .0 1 .9 2 .1 1.5 0.9 1.2 1 .8 1.8 1 .0 0.6 0.9 0.9 0.3 0.9 4 .6 2 .9 3.1 7.3 6.2 3.5

Singapore 322 8 .8 2.3 3 .8 2.5 2.8 3 .4 2 .1 1 .5 4.0 3.3 1.8 3 .7 2.2 2.5 1.1 2.8 2.8 0.3 0.9 12 .9 10 .2 6.0 15.0 14.2 7.3

Phuket 97 10 .3 6.1 7.0 6.1 5.5 5.8 2 .0 4.6 6.8 3.5 5.6 5 .6 5.6 4.8 3.0 3.6 3.6 1.0 5.3 23.3 18.5 11.9 22.3 20.5 15.0

Thai beaches (other than Phuket) 101 9 .7 4.4 8.5 5.6 2.9 6.5 3 .0 3.2 4.2 2.0 4.2 4 .6 3.4 3.4 3.4 2.2 2.2 1.0 4.2 7 .5 5 .5 6.3 17.0 16.0 7.5

Bangkok or other Thai cities 288 7 .3 3.2 4 .3 2.5 2.5 2 .8 2 .4 3.3 4.4 3.4 2.3 2 .9 1.7 2.0 1.2 1.6 1.2 0.7 1.1 5 .9 4 .5 3.7 7.4 6.7 3.0

Bali 201 9 .1 1.7 5.8 3.2 2.7 4.4 2 .1 2 .1 3.5 1.5 3.2 6.6 4.4 2.7 1.7 2.2 2.2 0.5 2.7 25.2 21.5 8.4 27.1 25.6 16.4

Indonesian beaches (other than Bali) 25 12.4 8.8 8.8 8.8 3.9 8.8 3.9 7.6 11.4 3.9 11.4 8.8 8.8 8.8 8.8 13.6 13.6 3.9 8.8 25.3 22.3 21.6 25.5 25.5 20.7

Indonesian cities 39 25.6 13.0 15.8 11.2 5.0 8.9 7.5 7.4 9.3 4.4 7.5 14.0 14.0 11.4 8.2 11.4 11.4 2.6 10.8 14.6 14.6 11.4 26.5 23.3 17.6

Malaysia 161 12 .4 2.6 5.2 5.5 3.9 5.2 2 .3 3.6 4.4 2.7 3.5 5.9 4.7 4.5 3.2 4.7 4.7 0.6 4.2 8 .2 8 .2 4.2 16.2 15.4 7.3

Philippines 135 8 .1 3.1 3 .3 3.3 2.4 4.0 3.1 3.1 1.5 0.7 1.5 7.0 3.8 5.5 4.0 4.9 4.9 1.4 3.1 22.4 18.9 10.8 34.7 31.1 25.2

Vietnam 238 13 .9 4.0 5.8 3.1 2.9 5.6 5.0 5.3 5.5 4.8 1.8 4 .5 3.2 2.7 2.0 3.7 3.7 0.4 1.8 10 .4 7 .2 5.6 8.4 7.9 4.2

Cambodia 106 17 .3 6.5 7.1 6.0 9.2 8.2 9.6 6.8 10.7 6.7 7.5 4 .0 2.8 4.0 0.9 0.9 0.9 0.9 3.7 10 .8 6 .3 8.7 11.0 9.8 5.2

Other places in Asia 145 21 .0 5.9 7.9 5.1 6.5 5.8 7.8 11.3 16.5 7.1 12.9 6.3 3.8 5.6 1.5 4.9 4.2 2.0 7.8 6 .9 5 .7 5.6 3 .3 3 .3 2.4

Australia 245 28.7 7.9 9.5 8.8 9.9 9.8 9.0 11.4 7.7 3.4 6.2 12.5 7.7 9.8 3.2 7.2 7.2 0.4 4.3 25.5 19.8 14.0 13.5 12.3 8.1

New Zealand or other Oceania 123 47.1 11.7 16.7 14.2 18.8 18.6 16.5 17.0 12.0 4.0 10.0 15.1 9.9 10.4 6.1 10.5 9.8 1.4 7.1 21.4 17.5 13.5 7.5 6.9 5.9

Sample

South

Pacific

islands or

other

islands

China

(excluding

Hong Kong

and Macau)

Shanghai Beijing

Other

China (exc.

Hong Kong

/ Macau)

Hong Kong


Southeast


Thai

beaches

(other than

Phuket)

Bangkok or

other Thai

cities

Bali

Indonesian

beaches

(other than

Bali)

Indonesian


2016 survey total 3,979 4.5 4.5 2.1 1.1 2.5 7.4 6.9 2.8 16.0 9.6 26.5 8.1 2.4 2.5 7.2 5.1 0.6 1.0 4.1 3.4 6.0 2.7

2015 survey total 4,198 4.4 4.1 2.1 1.1 1.9 7.5 6.8 2.4 14.1 11.1 25.2 6.8 1.9 2.4 6.8 4.8 0.6 1.3 3.6 3.9 5.7 2.9

UK 247 3.2 3.6 2.9 1.7 1.8 2.6 2.6 0.9 6 .2 2 .8 11 .9 3 .0 2.4 1.8 3.8 1.4 0.9 2.1 1.7 1.7 3.9 2.8

France 368 3.7 1.9 1.4 1.1 1.1 2.9 2.9 0.9 3 .2 1 .3 12 .4 3.3 1.9 2.3 3.3 3.2 0.6 1.7 2.3 1.2 3.8 2.0

Germany 286 3.4 3.5 1.8 1.3 2.6 2.5 2.5 0.8 2 .9 1 .8 9 .2 2 .8 2.1 2.0 2.5 2.2 0.8 1.5 3.1 1.6 2.6 2.2

Spain 261 4.4 2.3 1.8 1.4 0.7 1 .5 1 .5 0.4 4 .1 1 .4 11 .5 3.5 2.1 1.1 2.7 2.1 0.4 0.7 2.4 1.2 2.6 3.7

Italy 353 4.9 1.6 1.0 0.8 1.2 2 .2 2.2 0.9 3 .6 2 .2 10 .5 3 .1 1.6 1.9 2.3 2.5 0.6 1.0 2.4 1.6 3.8 2.5

Other countries in western Europe 318 3.1 2.0 1.1 0.9 1.6 2 .4 2.1 1.2 3 .1 2 .2 9 .5 2 .2 0.6 0.9 2 .2 1.3 0.3 0.9 1.2 1.3 3.8 3.2

Other places in Europe 318 4.0 2.5 1.2 0.9 1.8 1 .8 1 .5 1.2 3 .6 2 .5 11 .2 1 .5 1.4 1.0 3.0 1.3 0.6 0.9 1.8 1.3 4.0 2.3

Turkey 83 7.5 6.2 2.7 3.5 4.7 8.9 6.5 6.5 10 .6 4 .2 33.0 12.6 4.1 2.4 11.7 3.5 1.2 2.1 5.3 1.2 13.7 8.5

Other Middle East or Africa 127 11.7 5.8 2.2 2.7 3.1 3.9 3.1 1.6 3 .9 3 .5 21 .5 4.6 4.3 3.3 5.2 5.0 2.3 2.3 4.5 1.6 3.3 6.3

USA east 233 2.8 3.2 2.4 2.2 1.3 2 .4 2.4 1.3 3 .5 2 .9 11 .7 3 .1 2.3 1.5 2 .1 3.8 1.0 2.3 3.3 2.2 3.3 1.3

USA west 248 5.4 2.7 2.0 2.0 0.9 2 .3 2.3 1.3 4 .4 1 .5 10 .0 3.3 1.9 1.4 2.3 2.2 0.9 1.8 2.9 3.0 2.6 1.7

USA south 79 7.1 5.3 5.3 4.1 2.8 4.0 4.0 2.8 4 .1 2 .8 16 .7 4.4 3.7 4.3 4.3 4.4 2.8 4.1 6.6 6.9 5.9 1.3

Canada 126 6.5 4.5 1.8 2.9 3.3 3.3 2.6 3.3 2 .6 2 .8 16 .6 7.0 2.8 1.8 2.8 3.5 2.7 3.5 6.1 5.3 7.0 0.8

Alaska 15 15.3 6.9 6.9 6.9 6.9 13.3 13.3 6.9 12.2 6.9 20.2 6.9 6.9 6.9 13.7 6.9 6.9 6.9 6.9 13.3 6.9 6.9

Central/South America or Caribbean 103 11.8 2.9 2.9 2.2 2.2 3.1 3.1 3.1 6 .9 3 .4 18 .0 2 .9 5.0 4.1 3.1 5.2 2.2 4.1 6.6 4.0 4.0 3.8

Hawaii (Oahu) 609 9.8 0.8 0.7 0.5 0.4 3.5 3.5 0.6 4 .4 1 .8 15 .8 5.4 2.9 0.9 2 .1 7.1 0.9 0.9 2.2 4.2 2.8 1.1

Hawaii (other than Oahu) 279 14.1 2.9 2.6 1.2 1.2 5.0 5.0 1.1 6 .0 4 .2 18 .2 6.9 4.1 2.3 3.8 6.0 2.0 1.6 2.4 5.2 4.7 3.3

Guam 408 11.5 2.8 1.8 0.8 1.6 8.8 8.5 2.3 12.7 5.8 30.1 11.2 4.9 3.9 4.8 12.6 1.6 2.2 6.1 10.3 4.6 2.5

Saipan 161 22.8 5.1 2.6 2.0 3.2 11.3 10.5 3.2 15.5 8.2 42.6 14.5 9.0 4.7 5.4 20.5 3.3 4.3 7.3 21.1 6.1 3.4

South Pacific islands or other islands 180 100.0 2.5 1.8 1.2 1.9 1 .9 1 .9 1.2 6 .7 4 .2 36.4 8.6 8.9 3.8 5.8 17.6 3.4 3.2 8.2 13.7 7.1 2.9

Shanghai 84 3.8 100.0 100.0 27.0 22.4 32.4 31.3 15.9 34.6 16.3 15 .4 11.1 2.7 2.7 5.5 2.7 2.7 2.7 6.0 3.5 5.6 2.3

Beijing 44 5.1 100.0 51.7 100.0 32.7 31.3 31.3 18.5 45.0 35.9 18 .9 10.7 5.1 5.1 10.5 5.1 5.1 5.1 9.5 5.1 9.5 3.9

Other China (exc. Hong Kong / Macau) 98 3.5 100.0 19.2 14.7 100.0 32.7 29.7 19.3 31.3 14.8 31.6 14.1 3.0 4.7 10.9 7.0 3.0 7.7 9.8 6.8 11.5 6.7

Hong Kong 274 1.3 17.1 9.6 5.0 10.6 100.0 100.0 32.9 43.6 18.5 32.8 20.4 1.2 1.2 9.3 4.0 1.1 2.0 4.9 4.6 9.4 3.9

Macau 110 2.0 22.8 12.1 7.4 17.2 100.0 82.0 100.0 41.0 20.9 38.9 24.8 2.9 2.9 10.6 3.8 2.7 3.8 4.2 5.1 12.1 3.3

Taiwan 636 1.9 9.0 4.6 3.1 4.8 19.8 18.8 7.1 100.0 22.2 26.5 11.0 1.4 2.4 8.5 4.8 1.1 1.5 3.9 2.4 7.9 3.2

Korea 381 2.0 6.8 3.6 4.1 3.8 14.2 13.3 6.0 37.0 100.0 19 .8 10.6 1.6 1.9 7.0 3.4 1.0 1.6 1.8 2.8 3.7 1.0

Singapore 322 4.8 5.7 2.9 1.5 4.3 18.7 17.4 8.5 21.8 12.6 100.0 100.0 6.4 3.5 12.0 13.7 1.9 3.6 14.4 8.2 13.5 4.5

Phuket 97 16.4 3.0 2.3 2.3 3.0 3.3 3.3 3.3 9 .5 6.1 100.0 21.2 100.0 35.0 29.5 32.7 7.0 7.0 27.2 27.7 15.9 4.6

Thai beaches (other than Phuket) 101 6.8 4.6 2.2 2.2 4.6 3.1 3.1 3.1 15.3 7.1 100.0 11.1 33.7 100.0 61.2 21.9 9.7 9.4 21.5 14.0 17.8 7.3

Bangkok or other Thai cities 288 3.6 4.5 1.6 1.6 3.7 9.2 8.8 4.0 18.9 9.2 100.0 13.4 9.9 21.4 100.0 10.0 3.8 6.2 13.1 4.5 17.5 12.5

Bali 201 15.7 3.4 1.1 1.1 3.4 6.1 5.5 2.1 15.0 6.5 100.0 21.9 15.7 10.9 14.3 100.0 8.4 7.2 16.2 18.6 16.2 7.1

Indonesian beaches (other than Bali) 25 24.2 11.6 8.8 8.8 11.6 11.6 11.6 11.6 26.5 14.7 100.0 23.8 26.9 38.4 42.8 66.8 100.0 39.0 34.8 20.3 21.4 12.5

Indonesian cities 39 14.6 19.3 5.7 5.7 19.3 13.8 13.8 10.7 24.8 15.1 100.0 29.7 17.4 24.2 45.9 37.1 25.3 100.0 44.4 21.9 33.2 20.3

Malaysia 161 9.2 7.0 3.1 2.6 6.0 9.1 8.3 2.9 15.4 4 .3 100.0 28.8 16.4 13.5 23.5 20.2 5.5 10.8 100.0 18.9 22.1 7.0

Philippines 135 18.2 5.4 2.2 1.7 4.9 9.4 9.4 4.2 11.2 7.8 100.0 19.5 19.9 10.4 9.5 27.7 3.8 6.3 22.6 100.0 11.6 5.3

Vietnam 238 5.4 5.8 2.0 1.8 4.7 11.2 10.8 5.6 21.2 5.9 100.0 18.3 6.5 7.5 21.2 13.7 2.3 5.5 15.0 6.6 100.0 23.2

Cambodia 106 4.9 7.1 1.8 1.6 6.2 10.9 10.0 3.4 19.3 3 .7 100.0 13.6 4.2 7.0 34.1 13.5 3.0 7.5 10.6 6.8 52.2 100.0

Other places in Asia 145 7.4 8.1 2.0 2.5 7.1 8.3 7.6 5.4 10 .2 3 .9 50.6 10.4 6.7 10.8 20.4 11.6 3.9 8.5 10.9 7.1 22.3 14.1

Australia 245 11.8 2.8 2.5 2.0 1.2 5.5 5.5 1.9 7 .4 3 .4 28.4 10.1 5.7 3.7 6.2 10.2 2.0 2.2 6.4 6.9 5.7 4.1

New Zealand or other Oceania 123 12.4 6.0 4.0 2.4 3.8 4.5 4.5 3.2 8 .7 4.7 27.3 10.6 3.9 5.8 6.1 9.5 2.6 2.6 5.0 4.4 5.1 5.9

Sample

Other

places in

Asia

Oceania Australia

New

Zealand or

other

Oceania

Japan Hokkaido TohokuKita

Kanto

Tokyo

metropolitan

area

Koshinetsu Tokai Hokuriku Kinki Chugoku Shikoku Kyushu Okinawa

2016 survey total 3,979 3.6 7.8 6.1 3.1 11.0 3.8 0.9 0.6 0.9 0.6 0.7 0.7 1.1 0.5 0.6 2.2 5.1

2015 survey total 4,198 3.4 7.0 5.7 2.6 9.6 3.2 0.9 0.3 0.8 0.4 0.5 0.5 1.0 0.6 0.5 1.9 4.3

UK 247 3.4 9.4 7.9 5.9 11.4 7.3 3.0 3.0 2.9 3.0 2.1 3.6 2.4 2.1 1.3 4.1 4.1

France 368 3.1 8.4 6.3 5.6 9.2 5.8 3.0 1.9 2.4 1.9 2.2 2.0 1.8 1.8 1.6 2.4 4.1

Germany 286 2.6 9.8 7.6 6.1 9.7 6.0 3.6 1.7 2.5 2.0 2.5 1.8 3.5 2.4 2.0 3.0 4.4

Spain 261 3.6 12.9 9.3 8.9 10.0 6.2 2.7 1.3 1.5 1.0 1.8 1.5 1.6 1.3 1.8 2.6 4.1

Italy 353 2.4 9.7 6.8 6.5 9.2 4.6 1.7 1.2 1.7 1.7 2.3 1.5 2.0 1.7 1.4 3.9 4.3

Other countries in western Europe 318 3.5 9.2 6.9 6.4 7.5 3.9 4.0 1.9 1.8 2.1 1.8 2.0 2.2 2.1 1.9 2.8 3.0

Other places in Europe 318 5.1 11.9 8.7 6.5 8.2 4.8 3.5 1.8 1.8 1.8 2.2 2.4 1.7 2.0 1.8 3.7 4.1

Turkey 83 12.4 11.4 9.9 5.8 10.3 7.9 3.5 2.1 3.5 2.1 4.5 2.7 3.5 2.1 3.5 3.5 3.5

Other Middle East or Africa 127 14.7 17.1 12.0 9.7 9.2 3.4 2.8 1.5 3.1 2.3 1.4 0.8 1.4 2.1 1.4 2.9 4.4

USA east 233 2.3 9.0 8.1 5.2 10.9 5.8 3.5 2.1 2.2 2.2 1.8 2.2 4.0 2.1 2.1 4.2 3.8

USA west 248 3.3 11.1 9.6 5.1 10.2 6.6 2.0 2.0 3.1 2.2 2.1 2.1 3.8 2.0 1.6 3.4 4.0

USA south 79 2.8 11.1 9.8 9.5 14.8 10.1 4.0 4.0 4.0 4.0 4.0 5.2 6.7 4.0 4.0 5.5 12.3

Canada 126 4.8 18.4 13.9 9.6 8.2 5.8 2.5 2.5 2.5 2.5 2.5 3.5 2.5 2.5 2.5 3.9 6.6

Alaska 15 20.2 12.2 6.9 12.2 6.9 6.9 6.9 6.9 6.9 6.9 6.9 6.9 6.9 6.9 6.9 6.9 6.9

Central/South America or Caribbean 103 10.9 11.9 10.2 8.5 12.8 6.4 2.2 2.2 3.1 3.1 3.1 3.1 3.1 2.2 2.2 4.3 7.6

Hawaii (Oahu) 609 1.4 10.1 7.9 3.5 12.6 5.1 0.8 0.9 1.4 0.5 1.0 0.9 1.1 0.8 0.8 2.8 8.7

Hawaii (other than Oahu) 279 2.9 14.5 12.2 5.9 16.3 8.6 1.5 1.8 2.8 1.5 2.5 2.3 2.1 1.5 1.8 4.5 10.6

Guam 408 1.2 7.8 7.4 2.1 21.2 7.5 1.0 1.0 1.3 1.2 1.7 1.4 1.9 1.7 1.5 2.4 13.8

Saipan 161 2.2 13.3 12.3 4.5 23.2 9.9 2.0 2.0 2.6 2.0 2.5 2.8 2.0 2.0 2.6 4.0 20.1

South Pacific islands or other islands 180 5.9 19.9 16.1 8.4 12.5 6.0 1.2 1.2 2.5 1.9 2.2 1.2 1.2 1.2 1.8 3.4 8.0

Shanghai 84 3.5 8.2 7.3 5.8 26.0 11.1 6.5 5.0 5.9 3.9 5.3 6.4 6.2 5.0 5.3 9.4 14.0

Beijing 44 8.3 11.2 11.2 6.7 30.3 16.4 9.5 5.1 8.3 6.7 9.5 7.9 11.8 6.7 11.8 14.5 18.5

Other China (exc. Hong Kong / Macau) 98 10.5 4.7 3.0 4.7 13.7 6.4 5.0 2.3 4.7 4.0 4.7 3.3 6.0 3.0 3.0 5.9 6.8

Hong Kong 274 4.0 4.9 4.9 2.0 18.0 7.6 2.2 1.1 1.7 1.9 1.9 2.7 2.8 1.1 1.8 6.4 8.1

Macau 110 7.1 4.2 4.2 3.6 16.5 6.3 5.7 2.0 2.7 3.2 3.2 4.9 2.9 2.0 3.8 5.9 6.7

Taiwan 636 2.3 3.7 2.9 1.7 22.0 9.4 2.0 1.4 1.6 1.1 1.6 1.7 2.4 1.0 1.1 5.1 10.2

Korea 381 1.5 2.9 2.2 1.5 19.1 9.6 2.4 1.3 2.4 1.4 1.7 1.9 2.3 1.1 1.3 4.9 7.3

Singapore 322 4.7 9.1 7.7 4.1 13.6 5.5 1.9 1.5 1.9 2.2 1.9 2.2 1.7 1.0 2.0 4.1 8.1

Phuket 97 10.0 16.4 14.5 4.9 20.4 7.4 2.3 2.3 2.3 3.5 4.3 4.8 3.5 3.5 4.6 4.3 13.4

Thai beaches (other than Phuket) 101 15.5 11.0 8.9 7.1 13.7 9.0 2.2 2.9 2.2 2.9 2.9 3.9 2.2 2.2 2.2 2.9 9.1

Bangkok or other Thai cities 288 10.2 5.6 5.2 2.6 10.0 4.0 1.3 1.3 1.0 1.3 1.5 1.4 2.4 1.0 1.5 2.2 5.8

Bali 201 8.3 15.4 12.4 5.8 15.9 5.6 1.5 1.1 2.1 1.6 2.9 1.7 2.0 1.7 2.7 2.9 9.0

Indonesian beaches (other than Bali) 25 22.0 23.5 19.7 12.5 25.1 25.1 12.5 12.5 12.5 8.8 8.8 8.8 8.8 8.8 8.8 8.8 16.5

Indonesian cities 39 31.3 16.2 13.8 8.1 13.7 10.6 8.1 5.7 5.7 5.7 5.7 8.8 5.7 5.7 5.7 8.1 8.2

Malaysia 161 9.8 10.9 9.8 3.8 11.9 6.1 2.3 1.4 1.8 1.8 3.0 1.4 2.3 2.6 3.1 4.7 6.8

Philippines 135 7.6 12.4 12.4 4.0 17.8 9.2 2.4 2.4 2.4 3.3 2.9 2.4 2.4 2.4 3.3 4.4 12.4

Vietnam 238 13.6 6.8 5.9 2.7 12.7 4.9 1.8 1.2 1.2 2.1 2.3 2.3 2.5 2.2 3.1 3.5 7.3

Cambodia 106 19.3 12.7 9.5 6.9 11.4 3.4 2.5 0.9 1.6 1.6 1.6 0.9 2.4 1.6 2.8 3.7 6.6

Other places in Asia 145 100.0 11.0 9.7 5.3 10.0 2.9 2.0 2.8 2.7 2.0 2.6 1.5 3.6 2.0 2.0 2.7 5.1

Australia 245 5.7 100.0 100.0 23.9 13.7 6.8 2.6 2.1 2.9 1.6 3.7 1.7 2.0 2.6 2.9 4.9 6.7

New Zealand or other Oceania 123 6.3 100.0 47.7 100.0 23.9 11.7 5.7 3.4 6.6 3.2 4.0 3.4 4.6 3.2 4.2 10.2 12.5



Destination

Considered on

Last Trip

(middle

classification)

Japan

Hawaii

Hong Kong or MacauChina (excluding Hong Kong and Macau)

Destination

Considered on

Last Trip

(middle

classification)

Oceania

Destination

Considered on

Last Trip

(middle

classification)

Guam or Saipan

Southeast Asia

Canada or AlaskaEurope USA (excluding Hawaii and Alaska)Middle East or Africa

43

■Destinations considered on last trip: by destination considered on last trip (Those involved in considering travel plans/Multiple answers)




■Destinations considered on last trip and last travel destination (Those involved in considering travel plans/Multiple answers)

2016 survey consideration percentage2016 survey last destination percentage

Consideration Percentage Last destination PercentageRate of

Actual Visit

2016

survey

2015

survey

2016

survey

2015

survey

2016

survey

(n=3,979) (%) (n=4,198) (n=3,979) (%) (n=4,198) (n=3,979)

イギリス UK (n=247) 6.2 6.6 (n=118) 3.0 2.6 47.8

フランス France (n=368) 9.3 9.8 (n=177) 4.5 5.5 48.1

Germany (n=286) 7.2 6.4 (n=131) 3.3 2.8 45.8

スペイン Spain (n=261) 6.6 6.7 (n=103) 2.6 2.6 39.5

イタリア Italy (n=353) 8.9 9.0 (n=183) 4.6 4.1 51.8

西ヨーロッパ諸国 Other countries in western Europe (n=318) 8.0 7.2 (n=167) 4.2 3.7 52.5

ギリシア Greece (n=69) 1.7 1.8 (n=12) 0.3 0.3 17.4

東ヨーロッパ諸国 Countries of eastern Europe (n=174) 4.4 3.5 (n=68) 1.7 1.5 39.1

北ヨーロッパ諸国 Countries of northern Europe (n=140) 3.5 3.7 (n=55) 1.4 1.5 39.3

Turkey (n=83) 2.1 3.6 (n=21) 0.5 1.3 25.3

モロッコ Morocco (n=33) 0.8 1.2 (n=11) 0.3 0.2 33.3

エジプト Egypt (n=21) 0.5 0.8 (n=1) ― 0.1 4.8

ドバイ（アラブ首長国連邦） Dubai (n=44) 1.1 1.1 (n=17) 0.4 0.6 38.6

Kenya (n=9) 0.2 0.2 (n=1) ― ― 11.1

中近東・アフリカ（トルコ、モロッコ等以外）Other Middle East or Africa (n=39) 1.0 1.3 (n=16) 0.4 0.5 41.0

アメリカ東部（ニューヨーク、ナイアガラなど）USA east (n=233) 5.9 5.1 (n=129) 3.2 2.9 55.4

アメリカ西部（ロサンゼルス、ラスベガスなど）USA west (n=248) 6.2 6.0 (n=148) 3.7 3.4 59.7

アメリカ南部（マイアミ、オーランドなど）USA south (n=79) 2.0 2.2 (n=39) 1.0 1.1 49.4

Canada (n=126) 3.2 3.2 (n=63) 1.6 1.9 50.0

アラスカ Alaska (n=15) 0.4 0.6 (n=2) ― 0.1 13.3

メキシコ（カンクン、ティファナなど）Mexico (n=44) 1.1 1.1 (n=14) 0.3 0.6 31.8

ジャマイカ Jamaica (n=9) 0.2 0.1 (n=0) ― ― ―

カリブ海諸島（キューバ、バハマ、ケイマンなど）Caribbean islands (n=26) 0.6 0.6 (n=6) 0.2 0.2 23.1

中南米（メキシコ、ジャマイカ、カリブ海諸島以外）Other Central/South America (n=53) 1.3 1.3 (n=24) 0.6 0.5 45.3

オアフ島 Hawaii (Oahu) (n=609) 15.3 16.4 (n=426) 10.7 11.2 70.0

ハワイ（オアフ島以外） Hawaii (other than Oahu) (n=279) 7.0 7.8 (n=99) 2.5 3.0 35.5

Guam (n=408) 10.3 9.1 (n=221) 5.6 4.7 54.2

サイパン Saipan (n=161) 4.1 3.8 (n=28) 0.7 0.9 17.4

Palau (n=62) 1.6 1.4 (n=9) 0.2 0.3 14.5

ミクロネシア（グアム、サイパン、パラオ以外）Other Micronesia (n=25) 0.6 0.6 (n=4) 0.1 0.1 16.0

フィジー Fiji (n=21) 0.5 0.5 (n=2) 0.1 ― 9.5

Tahiti (n=47) 1.2 1.3 (n=6) 0.2 0.1 12.8

ニューカレドニア New Caledonia (n=52) 1.3 1.0 (n=3) 0.1 0.2 5.8

モルディブ Maldives (n=70) 1.7 1.8 (n=15) 0.4 0.3 21.4

南太平洋・インド洋の島々（フィジー、タヒチ等以外）Other Islands in South Pacific of Indian Ocean (n=17) 0.4 0.6 (n=2) 0.1 0.1 11.8

上海（中国） Shanghai (n=84) 2.1 2.1 (n=50) 1.2 1.2 59.5

北京（中国） Beijing (n=44) 1.1 1.1 (n=19) 0.5 0.6 43.2

香港（中国） Hong Kong (n=274) 6.9 6.8 (n=130) 3.3 3.1 47.4

マカオ（中国） Macau (n=110) 2.8 2.4 (n=42) 1.1 0.9 38.2

中国（上海、北京、香港、マカオ以外）Other China (n=98) 2.5 1.9 (n=60) 1.5 1.0 61.2

Taiwan (n=636) 16.0 14.1 (n=445) 11.2 9.8 70.0

Korea (n=381) 9.6 11.1 (n=275) 6.9 9.0 72.2

シンガポール Singapore (n=322) 8.1 6.8 (n=170) 4.3 3.0 52.8

プーケット島 Phuket (n=97) 2.4 1.9 (n=30) 0.8 0.5 30.9

タイビーチ（プーケット島以外） Thai beaches (other than Phuket) (n=101) 2.5 2.4 (n=21) 0.5 0.7 20.8

タイ（ビーチリゾート以外） Thailand (other than beach resorts) (n=288) 7.2 6.8 (n=183) 4.6 4.3 63.5

Bali (n=201) 5.1 4.8 (n=69) 1.7 2.0 34.3

インドネシアビーチ（バリ島以外）Indonesian beaches (other than Bali) (n=25) 0.6 0.6 (n=2) 0.1 ― 8.0

インドネシア（ビーチリゾート以外）Indonesia (other than beach resorts) (n=39) 1.0 1.3 (n=5) 0.1 0.3 12.8

マレーシアビーチ（ランカウイ島、ペナン島など）Malaysian beaches (n=74) 1.9 2.1 (n=20) 0.5 0.6 27.0

マレーシア（ビーチリゾート以外）Malaysia (other than beach resorts) (n=117) 2.9 2.3 (n=50) 1.3 1.0 42.7

Cebu Island (n=94) 2.4 2.2 (n=29) 0.7 0.8 30.9

フィリピンビーチ（セブ島以外） Philippine beaches (other than Cebu Island) (n=40) 1.0 0.8 (n=13) 0.3 0.1 32.5

フィリピン（ビーチリゾート以外）Philippines (other than beach resorts) (n=30) 0.8 1.4 (n=16) 0.4 0.9 53.3

ベトナムシティ（ホーチミン、ハノイ）Vietnam cities (Ho Chi Minh, Hanoi) (n=185) 4.7 5.0 (n=97) 2.4 2.7 52.4

ベトナムビーチ（ニャチャン、ダナンなど）Vietnam beaches (n=79) 2.0 1.2 (n=25) 0.6 0.2 31.6

ベトナム（ベトナムシティ、ベトナムビーチ以外）Vietnam (other than cities and beach resorts) (n=61) 1.5 0.8 (n=19) 0.5 0.2 31.1

カンボジア Cambodia (n=106) 2.7 2.9 (n=47) 1.2 1.3 44.3

India (n=54) 1.4 1.3 (n=21) 0.5 0.6 38.9

スリランカ Sri Lanka (n=38) 1.0 0.8 (n=11) 0.3 0.3 28.9

その他のアジア Other placesin Asia (n=74) 1.9 1.7 (n=23) 0.6 0.8 31.1

オーストラリア Australia (n=245) 6.1 5.7 (n=114) 2.9 2.1 46.5

ニュージーランド New Zealand (n=116) 2.9 2.3 (n=31) 0.8 0.9 26.7

オセアニア（オーストラリア、ニュージーランド以外）Other Oceania (n=17) 0.4 0.3 (n=5) 0.1 0.1 29.4

† Rate of actual visit was calculated by dividing by the number of actual visitors on their last trip by those who considered that destination. Percentages of 50.0 points or higher are shaded.

Europe

Middle East

or Africa

Oceania

Hawaii

USA (excluding

Hawaii and Alaska)

Canada or

Alaska

Central/

South

America

or

Caribbean

Other places

in Asia

Southeast Asia

Guam or

Saipan

South Pacific

islands or other

islands

China

0 5 10 15 20

2016 survey consideration percentage

2016 survey last destination percentage（％）




■Reason for deciding on last travel destination (Those involved in considering travel plans/Single answer)

2016 survey2015 survey

2016

survey

2015

survey

Male

18-29

yrs

Male

30-39

yrs

Male

40-49

yrs

Male

50-59

yrs

Male 60

yrs or

older

Female

18-29

yrs

Female

30-39

yrs

Female

40-49

yrs

Female

50-59

yrs

Female

60 yrs

or older

(n=3,979) (n=4,198) (n=278) (n=417) (n=483) (n=380) (n=489) (n=472) (n=422) (n=378) (n=316) (n=345)

Suited my date of departure, date of return, day of the week, travel period, etc. 11.7 10.7 9.6 12.3 11.7 13.2 8.1 13.4 13.2 13.3 13.0 9.1

Suited my budget 7.6 7.8 13.7 12.3 8.7 8.2 2.8 9.9 7.8 7.8 2.9 2 .6

I just happened to discover a good travel product 5.2 5.2 3.6 3.1 4.2 4.2 7.8 5.5 5.9 3.9 5.9 7.7

Suited my booking needs such as available seat on plane, available room at hotel, etc. 2.1 2.7 0.8 2.2 3.7 3.2 1.5 0.8 2.4 1.9 2.0 2.0

Suited my flying time or flight from the closest airport, etc. 1.1 0.8 2.1 1.0 1.7 1.2 ― 1.8 1.4 1.0 0.2 0.6

It suited the needs of accompanying travelers, such as my children 0.8 1.1 0.8 1.7 0.7 0.5 0.8 0.3 1.9 1.0 0.7 ―

Because I wanted to earn miles 0.7 0.5 1.8 0.7 1.5 1.0 0.3 0.5 0.5 ― 0.2 0.3

Accompanying travelers wanted to go there 8.9 8.4 11.6 10.3 10.2 4.5 6.3 11.0 9.7 10.4 9.1 6.3

It was a location I had wanted to go to from before 7.3 8.2 8.3 6.0 5.7 4.0 6.8 10.2 9.2 6.3 7.9 9.4

I have family members, relatives, acquaintances, friends at the destination 6.3 6.9 4.7 4.6 4.2 8.7 6.8 6.3 8.0 5.8 7.1 7.4

I had been there before and found that it was good 6.1 6.2 3.6 7.2 7.5 6.7 5.0 4.5 6.4 7.3 8.6 4.0

I was interested in a particular sightseeing spot 4.3 3.4 2.1 4.3 2.5 4.2 6.8 3.4 3.3 3.6 5.2 7.1

Was recommended by family members, acquaintances, friends 2.8 2.3 2.8 2.9 3.0 2.7 2.3 3.1 3.3 3.2 2.7 1.4

I was interested in a particular event, activity 2.4 3.1 2.1 2.2 3.5 2.7 1.0 2.1 3.1 3.9 2.9 0.6

I felt like going after seeing it on TV, in a magazine, on the web, etc. 2.3 2.0 3.4 2.9 2.0 3.2 1.0 2.4 2.6 2.4 1.2 2.0

Was recommended by a travel agent 0.4 0.6 1.0 1.0 0.2 ― 0.8 0.3 0.2 ― 0.2 0.9

I felt like going after seeing it in a blog, hearing about it through word-of-mouth communication, etc. 0.3 0.3 0.3 0.5 1.0 0.2 ― ― 0.5 0.2 0.2 ―

I felt like going after seeing the website of the travel bureau 0.2 0.2 ― 0.2 ― 0.5 0.8 ― ― 0.2 ― 0.6

Food seems good 3.7 3.4 3.9 2.4 3.0 4.5 4.3 3.1 3.3 4.4 3.9 4.3

Seems safe 3.4 3.0 4.1 3.8 2.7 3.0 4.3 2.4 2.1 3.9 3.9 4.0

Nature seems good 3.1 3.5 1.6 2.2 2.2 3.7 5.5 3.1 2.1 1.9 2.2 5.4

Climate seems good 2.7 3.3 4.1 1.4 1.7 3.2 5.8 1.3 1.7 2.2 2.7 3.7

City seems good 2.4 2.7 3.4 2.4 2.5 2.5 1.8 3.7 0.9 2.2 1.2 3.7

Timing of the trip seems good 2.3 2.1 1.3 2.4 2.7 2.2 2.5 3.1 0.9 1.9 3.2 2.6

Hotel I want to stay at seems good 2.2 1.9 2.6 1.4 3.0 3.0 2.0 1.0 1.4 2.4 2.2 2.8

Prices seems cheap 2.0 2.0 1.8 3.6 2.2 1.7 2.3 1.6 1.2 1.9 1.5 1.4

Hospitality seems good 0.6 0.8 0.8 0.7 0.5 0.5 1.0 0.5 0.5 0.2 0.5 0.9

Hygienic 0.3 0.3 0.3 0.2 0.2 0.2 ― 0.3 0.9 0.2 0.5 ―

Other 6.7 6.8 4.1 4.1 6.7 6.0 11.8 4.5 5.7 6.3 7.9 9.7



Char

acte

rist

ics

of th

e d

est

inat

ion

Budg

et/

Condi

tions

Recom

menda

tion b

y se

lf/oth

ers

2016 survey

Sex & age

0 5 10 15

2016 survey 2015 survey（％）

2. Reasons for Deciding on Destinations



Those involved in consideration/total

Mostly

decided on my own

Decided

with travel

companions

Left whole decision

with companionsOther No ans.

●Legend

2016 survey total (n=4,802) 82.9

2015 survey total (n=5,000) 84.0

Sex Male (n=2,457) 83.3

Female (n=2,345) 82.4

Sex & age Male 18-29 yrs (n=341) 81.5

Male 30-39 yrs (n=475) 87.8

Male 40-49 yrs (n=580) 83.2

Male 50-59 yrs (n=465) 81.8


Female 18-29 yrs (n=573) 82.3

Female 30-39 yrs (n=483) 87.4

Female 40-49 yrs (n=434) 87.1

Female 50-59 yrs (n=378) 83.6


Area of


Kansai (n=1,150) 81.3

Tokai (n=631) 83.5

Life









Student (n=192) 70.4

Number of


Middle (n=1,235) 80.6

Heavy (n=2,782) 86.3

Used (n=2,284) 100.0

Didn't use (n=1,694) 100.0

Package use

† Only those

involved in

considering

Those

involved in

consideration

/total

37.9 ％

36.0

42.2

33.3

33.7

44.7

46.5

41.4

41.5

24.6

38.8

41.4

37.0

28.1

38.8

35.7

37.3

36.3

37.3

35.0

27.9

48.7

55.3

31.2

53.5

23.9

26.0

30.8

44.4

38.0

56.1

45.0

48.0

41.1

49.1

47.8

43.0

36.7

40.4

40.5

57.8

48.7

45.7

46.6

44.1

44.5

45.6

46.1

42.5

47.6

56.0

58.7

37.2

29.1

51.2

34.4

46.4

48.3

49.8

41.9

62.0

43.9

15.4

14.5

15.2

15.5

17.9

11.8

14.9

16.7

15.5

16.4

12.0

12.1

14.8

21.7

15.0

16.8

14.6

18.2

14.7

8.9

12.7

12.7

14.6

16.1

9.1

27.1

23.4

17.6

12.1

－

－

1.8

1.6

1.5

2.1

0.6

0.4

1.9

1.4

2.5

1.3

0.6

0.8

1.6

6.1

1.7

1.9

2.0

3.0

0.5

－

0.6

1.4

1.0

1.5

3.0

2.6

2.3

1.9

1.6

－

－

46

■Degree of involvement in consideration process (Total/Single answer)

3. Degree of Involvement in Consideration Process



■Timing of decision to travel, timing of starting to consider, timing of booking: period until departure

(Those involved in considering travel plans/ Single answer each)

Sample

7 or more

months

prior to

departure

5-6 months

prior to

departure

3-4 months

prior to

departure

2 months

prior to

departure

Within 1

month prior

to

departure

Within 3

weeks prior

to

departure

Within 2

weeks prior

to

departure

Within 1

week prior

to

departure

Don't

know/

Don't

remember

Average

(months

prior)

When first thought of traveling 3,979 18.1 19.6 28.4 14.3 10.1 2.0 1.5 0.8 5.2 4.8

When started considering 3,979 10.4 14.3 30.1 19.5 14.3 4.2 2.2 1.2 3.7 3.6

When booked 3,979 6.5 10.8 26.4 20.9 20.4 5.5 4.1 1.9 3.4 2.9



When booked 4,198 6.1 10.4 26.1 21.4 21.7 6.1 3.8 1.8 2.6 2.8



When booked 4,142 5.2 10.1 25.9 22.0 20.9 6.6 4.7 1.8 2.8 2.7

2016

Survey

2015

Survey

2014

Survey

0

10

20

30

40

When first thought of traveling 2016 When started considering 2016 When booked 2016

（％）

4. Timing of Travel Consideration and Booking (1)



Sample

When first thought of

traveling

When started

consideringWhen booked

3,979 4.8 3.6 2.9

4,198 4.8 3.5 2.8

4,142 4.8 3.4 2.7

Male 2,047 4.7 3.6 2.9

Female 1,932 4.8 3.5 2.9

Male 18-29 yrs 278 5.0 3.5 2.8

Male 30-39 yrs 417 4.0 3.1 2.6

Male 40-49 yrs 483 4.7 3.7 2.8

Male 50-59 yrs 380 4.7 3.8 3.1

Male 60 yrs or older 489 5.3 4.0 3.2

Female 18-29 yrs 472 4.7 3.3 2.6

Female 30-39 yrs 422 4.6 3.2 2.5

Female 40-49 yrs 378 5.0 3.8 3.2

Female 50-59 yrs 316 4.9 3.8 3.1

Female 60 yrs or older 345 4.9 3.6 3.0

Kanto 2,517 4.7 3.5 2.9

Kansai 935 4.8 3.5 2.9

Tokai 526 5.0 3.8 3.0

Worker (child 7 yrs and over) 1,429 5.1 3.9 3.2

Worker (child 2-6 yrs) 196 4.8 3.4 2.6

Worker (child 1 yr and under) 105 4.5 3.2 2.7

Worker (married, no children) 862 4.8 3.6 2.9

Worker (unmarried) 1,250 4.4 3.3 2.6

Unmarried male 652 4.3 3.3 2.7

Unmarried female 20s/30s 515 4.5 3.1 2.5

Unmarried female 40s and over 217 4.5 3.3 2.7

Student 135 4.9 3.2 2.6

Light 584 5.1 3.6 2.8

Middle 995 4.8 3.4 2.7

Heavy 2,400 4.7 3.6 3.0

Used 2,284 4.7 3.4 2.7

Didn't use 1,694 4.9 3.8 3.2

2016 survey total

2015 survey total

2014 survey total

Sex & age

Sex

Area of

residence

Life

stage

Number of

trips taken

Package

use

0

1

2

3

4

5

6

2016 survey total

2015 survey total

2014 survey total

(months prior)


■Timing of decision to travel, timing of starting to consider, timing of booking: changes in the average period prior to departure

(Those involved in considering travel plans/Single answer)



Within 1 weekWithin 2-3

weeks

1 or more

months, less

than 2 months

2 or more

months, less

than 3 months

3 or more

months, less

than 4 months

４mon.or more

Don't know or

don't

remember

●Legend

2016 survey total (n=3,979) 0.7

2015 survey total (n=4,198) 0.7

2014 survey total (n=4,142) 0.7

Sex Male (n=2,047) 0.7

Female (n=1,932) 0.6

Sex & age Male 18-29 yrs (n=278) 0.8

Male 30-39 yrs (n=417) 0.5

Male 40-49 yrs (n=483) 0.8

Male 50-59 yrs (n=380) 0.7


Female 18-29 yrs (n=472) 0.6

Female 30-39 yrs (n=422) 0.7

Female 40-49 yrs (n=378) 0.6

Female 50-59 yrs (n=316) 0.6


Area of


Kansai (n=935) 0.7

Tokai (n=526) 0.7

Life









Student (n=135) 0.6

Number of


Middle (n=995) 0.7

Heavy (n=2,400) 0.6

Used (n=2,284) 0.7

Didn't use (n=1,694) 0.6

Average

(no.

mon.)

Package use

59.0％

60.6

59.4

56.7

61.5

51.2

59.9

56.1

59.9

55.2

60.7

59.2

62.1

61.2

65.1

58.9

60.1

58.0

60.1

53.0

54.4

58.3

59.6

57.7

61.1

61.4

59.0

48.4

56.3

62.7

57.4

61.2

0.9

0.9

1.3

1.3

0.4

1.8

2.6

1.0

0.7

0.5

0.0

0.9

0.5

0.2

0.6

0.8

1.0

1.2

0.5

1.1

1.6

0.4

1.6

2.4

0.6

0.8

0.5

1.6

0.6

0.8

0.3

1.6

23.4

22.4

22.6

24.6

22.2

28.2

21.9

23.7

22.4

27.5

22.3

22.6

22.6

21.6

21.6

23.6

23.5

22.4

23.4

24.4

25.6

22.8

23.3

22.6

23.8

25.4

25.3

28.7

25.1

21.4

25.7

20.4

7.1

6.3

6.9

7.0

7.2

6.2

7.0

8.2

6.5

6.8

9.2

7.1

4.6

8.6

6.3

7.5

6.2

6.8

6.7

9.1

6.5

7.9

7.1

6.5

7.7

5.5

3.4

9.0

8.7

6.0

7.6

6.5

2.9

2.9

3.5

2.9

2.9

3.4

1.9

2.5

2.2

4.5

1.3

3.8

3.6

2.2

4.0

2.9

2.7

3.4

3.6

5.3

4.2

2.5

2.0

2.2

1.7

2.6

2.4

2.8

3.2

2.8

3.4

2.2

2.7

3.5

3.0

3.1

2.4

3.4

1.4

4.2

3.2

3.0

2.1

3.1

2.9

2.5

1.4

2.4

3.0

4.1

3.2

2.1

1.2

3.0

2.2

2.7

2.2

1.7

3.6

3.2

2.6

2.7

2.6

3.0

3.9

3.3

3.2

4.4

3.3

5.9

5.3

4.2

5.0

2.5

4.5

3.3

3.6

3.7

1.1

4.0

3.5

4.2

2.5

5.0

6.5

5.0

4.1

5.9

2.9

2.5

5.9

6.2

3.5

3.5

2.9

5.1


■The period of consideration from the start of consideration through booking (Those involved in considering travel plans/Single answer)



Sample

Internet

accessed by

PC

Travel agency

pamphlets

Internet

accessed by

smartphone/

tablet, etc.

Guidebooks

("Chikyuu no

arukikata,"

etc.)

Travel agency

counters

Guidebook-

style

magazines

such as

"Rurubu

Hawaii," etc.

Information

magazines

sent from

travel agents

and airlines

Feedback and

introductions

(word-of-

mouth) of

friends,

acquaintances,

family members

Email magazine

send by travel

agent or airline

Overseas

travel

magazines

other than

guidebook-

style

magazines

Newspaper ads

TV programs

and

commercials

Articles and

ads in general-

interest

magazines

Acquaintances

at travel

agencies

Free flyers and

flyers in

newspapers

Internet

accessed by

mobile

telephone

(iMode, Ezweb,

Yahoo! Keitai,

etc.)

Transportation

ads on trains

and at stations

Seikyo

pamphlets and

counters

Other

I don't really

gather

information

2016 survey total 3,979 75.4 25.5 19.3 14.3 13.5 11.2 10.4 8.1 5.3 3.0 2.9 2.8 2.7 1.4 1.3 0.9 0.4 0.3 0.8 5.1

2015 survey total 4,198 77.3 25.8 16.1 14.9 14.1 10.9 10.7 7.9 5.5 2.6 3.2 2.4 2.3 1.4 1.8 1.0 0.4 0.2 1.2 4.2

2014 survey total 4,142 79.4 29.4 12.4 16.4 13.8 11.5 11.4 8.5 6.1 2.5 3.8 2.3 2.3 1.3 1.4 0.8 0.3 0.3 1.1 3.8

Male 2,047 77.8 23.0 14.7 14.4 12.1 9.9 9.7 6.7 5.5 2.7 2.8 2.7 2.6 1.6 1.0 1.1 0.6 0.2 0.6 6.8

Female 1,932 72.8 28.0 24.1 14.1 15.1 12.7 11.1 9.5 5.1 3.3 3.0 2.9 2.7 1.2 1.6 0.6 0.3 0.4 1.0 3.2

Male 18-29 yrs 278 68 .5 26.6 32.3 15.0 23.5 10.6 4 .4 9.6 3.1 3.1 0.8 2.1 4.7 3.4 1.6 2.3 1.6 0.8 0.3 7.5

Male 30-39 yrs 417 80.8 18 .5 20.4 15.1 10.8 12.0 4 .8 7.7 3.6 3.4 1.7 2.9 2.2 1.9 1.9 2.9 0.7 0.5 ― 6.7

Male 40-49 yrs 483 82.8 19 .7 16.0 14.0 11.5 11.0 5 .2 6.7 3.2 2.7 0.7 2.0 2.5 1.2 1.0 0.5 0.2 ― 1.0 6.5

Male 50-59 yrs 380 78.3 20 .4 9 .5 11.5 9.2 9.5 5.7 5.7 6.2 1.7 3.2 3.0 2.7 1.2 0.2 ― 0.5 ― 0.2 9.0

Male 60 yrs or older 489 75.3 30.2 2 .5 16.1 9.6 7.1 24.4 5.0 10.3 2.8 6.5 3.5 1.8 1.0 0.5 0.5 0.3 ― 1.3 5.3

Female 18-29 yrs 472 60 .2 30.1 47.1 11.3 22.8 15.4 4 .2 11.3 2.9 3.9 0.5 2.1 2.6 1.8 1.8 0.3 0.3 1.6 1.0 3.7

Female 30-39 yrs 422 77.4 26.2 30.9 13.9 16.7 13.2 4 .2 12.7 3.3 5.0 1.7 3.3 2.6 0.9 1.4 0.9 0.5 ― 0.7 2.6

Female 40-49 yrs 378 82.3 24.5 18.7 16.0 10.4 13.6 6.6 6.3 3.9 2.4 1.9 1.7 2.9 0.7 1.0 0.7 ― ― 0.7 3.9

Female 50-59 yrs 316 79.1 25.6 10 .8 13.3 12.0 12.0 13.5 8.6 7.1 2.0 3.9 3.7 2.7 1.0 1.7 0.5 0.2 ― 0.7 2.5

Female 60 yrs or older 345 68 .2 33.5 2 .6 17.0 10.2 7.7 31.8 7.7 9.9 2.6 8.2 4.3 2.8 1.4 2.3 0.9 0.3 ― 1.7 3.4

Kanto 2,517 76.4 24.7 19.3 14.0 12.8 10.8 10.4 7.6 5.4 2.5 3.2 2.7 2.7 1.2 1.0 0.9 0.4 0.2 1.0 4.7

Kansai 935 72.9 27.2 18.4 14.6 14.8 11.8 11.4 9.8 5.2 4.5 1.9 2.9 2.8 1.2 1.6 0.6 0.1 0.4 0.3 6.9

Tokai 526 74.9 26.2 20.4 15.2 14.9 12.2 8.6 7.4 5.6 2.9 3.2 3.4 2.3 2.8 2.5 1.6 1.1 0.5 0.7 3.7

Worker (child 7 yrs and over) 1,429 75.6 28.6 8 .1 13.7 11.5 10.5 18.3 6.5 7.5 2.4 5.7 3.3 2.4 1.0 1.2 0.5 0.2 ― 0.5 4.7

Worker (child 2-6 yrs) 196 77.5 21.9 27.3 9.6 13.4 11.9 7.0 10.1 6.7 5.0 2.1 4.2 2.6 1.5 3.3 2.8 1.6 1.0 ― 5.8

Worker (child 1 yr and under) 105 67 .6 23.8 23.0 9 .1 19.6 9.3 5 .0 12.4 1.9 1.2 1.2 2.8 1.2 2.1 1.2 ― 1.2 1.2 1.1 8.4

Worker (married, no children) 862 76.1 30.1 21.9 14.7 18.6 14.0 6.6 7.6 4.3 3.1 1.2 2.6 2.9 1.4 1.0 0.8 0.3 0.1 1.1 4.8

Worker (unmarried) 1,250 75.3 19 .9 27.2 15.6 11.9 10.5 5.7 8.6 3.9 3.8 1.5 2.5 3.0 1.8 1.2 1.2 0.5 0.2 0.9 5.1

Unmarried male 652 79.7 14 .6 19.7 16.6 9.7 8.4 4 .3 8.3 3.3 2.6 0.9 2.5 2.8 2.5 0.7 1.5 0.7 0.2 0.5 7.8

Unmarried female 20s/30s 515 67 .0 24.7 42.3 13.3 16.6 12.4 4 .6 11.8 3.3 4.8 1.2 1.9 3.0 1.1 2.2 0.8 0.4 1.2 1.1 2.8

Unmarried female 40s and over 217 80.7 24.8 17.5 18.5 7 .8 10.7 11.5 7.0 6.5 3.0 3.0 2.6 2.9 1.3 1.3 0.8 ― ― 2.0 3.2

Student 135 71.9 21.2 32.9 16.2 13.0 8.7 3 .4 17.5 3.3 ― ― ― 2.4 1.6 2.7 1.1 0.5 4.2 1.4 6.6

Light 584 66 .7 32.9 24.9 9 .3 23.7 13.2 7.6 8.2 3.5 2.7 1.6 2.2 2.0 1.7 1.4 1.6 0.2 0.8 0.6 5.6

Middle 995 72.1 32.8 23.6 14.6 18.7 12.8 8.7 9.3 3.6 3.5 3.3 2.6 2.7 1.2 2.2 0.7 0.4 0.2 0.9 3.5

Heavy 2,400 78.8 20.6 16.1 15.3 8.9 10.2 11.8 7.6 6.5 2.9 3.0 3.1 2.8 1.5 0.9 0.8 0.5 0.2 0.8 5.6



† In the survey before last (implemented in 2014) and before, "Internet accessed by PC" was asked about as "By Internet or email (accessed by PC)," "Internet accessed by smartphone, tablet, etc." was asked about as "By Internet or email (accessed by smartphone or tablet / including apps),"

and "Internet accessed by mobile phone (iMode, Ezweb, Yahoo! Keitai, etc.)" was asked about as "By mobile (iMode, Ezweb, Yahoo! Keitai, etc.) site or mobile email."

Number

of

trips taken

Area of

residence

Sex & age

Sex

Life

stage

0

20

40

60

80

100

2016 survey total

2015 survey total

2014 survey total

（％）

5. Sources of Information Used to Compare for Consideration

■Sources of information used to compare for consideration (Those involved in considering travel plans/Multiple answers)

51

Chapter 3

Process of Package Tour Selection

Part 1 Trends in Overseas Travel Booking in 2015 Chapter 3 Process of Package Tour Selection


Didn't use

A tour with just

about everything

included, such as

sightseeing

activities, and

meals

A tour with a

partial free agenda

but includes some

sightseeing,

activities, and

meals

For everything

other than a

roundtrip ticket

and hotel (with

transportation to

and from the

airport) a tour that

basically comes

with a free agenda

†

For everything

other than a

roundtrip ticket

and hotel (without

transportation to

and from the

airport) a tour that

basically comes

with a free agenda

†

Didn't use

●Legend

2016 survey total (n=3,979) 57.4

2015 survey total (n=4,198) 57.3

Sex Male (n=2,047) 52.3

Female (n=1,932) 62.8

Sex & age Male 18-29 yrs (n=278) 58.7

Male 30-39 yrs (n=417) 49.5

Male 40-49 yrs (n=483) 46.6

Male 50-59 yrs (n=380) 44.6


Female 18-29 yrs (n=472) 64.9

Female 30-39 yrs (n=422) 61.1

Female 40-49 yrs (n=378) 55.6

Female 50-59 yrs (n=316) 61.9


Light (n=584) 72.8

Middle (n=995) 67.4

Heavy (n=2,400) 49.6

3 days or less (n=498) 54.9

4 days (n=643) 64.7

5 days (n=703) 62.5

6 days (n=458) 63.7

7 days (n=479) 56.0

8-9 days (n=574) 66.8

10-１4 days (n=441) 41.3

１5 days or more (n=183) 16.1

Long distance (n=1,323) 57.8

Medium distance (n=1,412) 58.4

Short distance (n=1,277) 56.5

† In the last survey (implemented in 2015), "For everything other than a roundtrip ticket and hotel (with transportation to and from the airport) a tour that basically comes with a free agenda"

and "For everything other than a roundtrip ticket and hotel (without transportation to and from the airport) a tour that basically comes with a free agenda" were asked about collectively.

("For everything other than a roundtrip ticket, hotel, and transportation to and from the airport, a tour that basically comes with a free agenda.")

Use

to tal

Distance of

the last

destination

Used

Number

of

trips taken

Number of

days traveled

18.5％

17.6

18.6

18.4

18.1

13.2

11.7

13.0

34.8

10.5

14.9

10.7

20.9

39.8

25.8

19.8

16.2

12.8

13.9

15.8

14.4

16.0

36.7

23.5

8.2

30.2

12.9

13.1

13.3

15.6

12.0

14.6

15.0

9.6

8.7

11.2

16.4

17.5

13.4

12.4

10.3

18.5

18.9

16.7

10.5

11.6

16.5

14.4

16.0

11.6

15.8

9.3

1.9

13.5

14.3

12.0

18.3

24.1

14.8

22.1

18.3

17.8

16.5

14.2

9.1

26.2

25.0

25.5

22.9

8.5

21.4

23.6

15.4

20.0

26.1

23.8

26.8

19.9

8.2

5.8

2.2

7.6

23.7

23.5

7.3

6.8

7.7

7.2

8.9

9.7

6.2

2.5

10.7

7.8

7.0

7.9

4.0

6.6

7.2

7.4

10.5

8.1

8.5

6.5

8.6

6.1

2.6

3.8

6.5

7.4

7.8

42.6

42.7

47.7

37.2

41.3

50.5

53.4

55.4

37.3

35.1

38.9

44.4

38.1

29.3

27.2

32.6

50.4

45.1

35.3

37.5

36.3

44.0

33.2

58.7

83.9

42.2

41.6

43.5

52

1. Use of Package Tours

■Use of package tour on last overseas trip taken (Those involved in considering travel plans/Single answer)



2. Reasons for Selection of Package Tour

Sample Becau

se it

sav

es

me fro

m h

avin

g to

arra

nge

the a

ir t

icke

ts

Becau

se it

sav

es

me fro

m h

avin

g to

arra

nge

the a

ccom

moda

tions

Becau

se it

sav

es

me fro

m h

avin

g to

plan

the t

rip

Becau

se it

com

es

with p

ick-

up

and

drop-

off a

t th

e a

irpo

rt a

nd

hote

l

Becau

se it

sav

es

me fro

m h

avin

g to

arra

nge

local

mean

s of tr

ansp

ort

atio

n

Becau

se it

enab

les

me t

o v

isit t

he

key

tourist

dest

inat

ions

Becau

se it

com

es

with a

Jap

anese

speak

ing

guid

e

Becau

se t

he p

rice is

less

than

that

of a

tour

Becau

se it

sav

es

me fro

m h

avin

g to

sear

ch for

and

book

rest

aura

nts

Becau

se it

’s

poss

ible

to in

quire t

o

the t

rave

l age

ncy

if so

meth

ing

should

hap

pen

Sin

ce I w

ill b

e u

sing

buse

s an

d th

e

like, i

t sa

ves

me fro

m h

avin

g to

car

ry

my

bagg

age w

hile

in t

ransi

t

Price is

cheap

er

than

if I w

ere

to

plan

the t

rip

conte

nt

indi

vidu

ally

Becau

se it

enab

les

access

to

accom

moda

tions

and

hote

ls t

hat

are

relia

ble

Becau

se it

pro

vide

s m

e w

ith fre

e

tim

e

Becau

se s

afety

would

be a

n is

sue if

I w

ent

indi

vidu

ally

Becau

se t

here

is n

o w

orr

y ab

out

gett

ing

lost

Becau

se s

impl

y th

e p

rice w

as lo

w

Becau

se it

inclu

des

activi

ties

that

I w

ant

to d

o

Com

es

with s

upp

ort

in t

he e

vent

of

accid

ents

, theft

, etc

.

Becau

se it

com

es

with m

eal

and

accom

moda

tion b

enefit

s

Becau

se it

enab

les

you t

o b

ecom

e

acqu

ainte

d w

ith o

ther

Jap

anese

tourist

s

Oth

er

Noth

ing

in p

articula

r

2016 survey total 2,284 44.8 39.8 30.1 24.5 22.3 22.1 17.0 16.7 15.5 14.6 12.8 11.3 11.3 10.8 10.6 10.4 9.0 4.6 4.6 2.8 1.5 1.4 7.8

2015 survey total 2,405 43.2 40.1 30.8 24.9 22.1 21.9 17.9 17.7 14.0 * 12.4 13.3 10.2 12.2 10.2 9.6 8.4 4.5 4.8 2.8 1.0 1.4 6.7

2014 survey total 2,484 45.6 42.3 31.7 25.0 24.5 24.7 19.9 18.5 16.3 * 13.7 14.6 10.5 10.1 10.7 10.8 8.6 4.2 4.3 2.2 1.2 1.8 6.3

Male 1,071 40.9 36.9 33.4 20.9 21.4 20.3 16.5 16.7 16.8 10.9 11.9 8.4 10.3 9.6 7.6 9.7 8.3 4.9 3.7 2.9 1.8 1.6 9.3

Female 1,213 48.3 42.4 27.1 27.7 23.0 23.7 17.5 16.7 14.3 17.9 13.6 14.0 12.2 11.9 13.2 11.1 9.6 4.4 5.4 2.7 1.3 1.2 6.5

Male 18-29 yrs 163 37 .9 30 .0 29.5 18 .1 15 .0 13 .2 17.2 10 .6 11.5 11.9 6 .6 6.6 6.6 8.4 10.1 13.2 7.9 6.6 3.1 4.0 1.3 0.4 11.9

Male 30-39 yrs 206 38 .3 28 .6 25.7 16 .0 12 .6 9 .7 9 .7 12.6 12.1 11.7 5 .3 4 .9 7.8 11.7 5 .3 7.8 9.2 6.3 3.9 2.4 2.4 1.0 9.2

Male 40-49 yrs 225 40.1 33 .7 21 .9 16 .0 14 .4 12 .3 11 .2 12.8 11.2 9 .1 6 .4 6.4 8.6 6.4 8.0 6.4 9.6 4.3 3.7 4.3 0.5 1.1 13.4

Male 50-59 yrs 170 38 .0 39.1 35.2 20.7 19.6 15 .6 11 .7 20.7 12.3 10.1 7 .8 6.7 11.2 11.2 7.8 7.8 6.1 4.5 3.9 3.9 1.1 0.6 6.7

Male 60 yrs or older 307 46.6 47.4 48.2 29.3 36.9 39.8 27.3 23.3 29.3 11.6 25.3 14.1 14.9 10.4 7.2 12.4 8.0 3.6 3.6 1.2 2.8 3.6 6.4

Female 18-29 yrs 306 49.6 37.5 19 .0 22.2 16 .1 13 .3 12.1 14.9 8 .1 16.9 7 .3 7.7 5 .6 13.3 10.9 11.3 10.9 6.5 5.2 2.0 0.8 ― 7.7

Female 30-39 yrs 258 46.7 41.3 26.6 23.6 14 .3 10 .4 13.1 15.4 6 .2 15.1 7 .7 11.2 7.7 11.6 14.7 9.7 10.8 3.1 3.5 2.3 0.4 1.2 6.6

Female 40-49 yrs 210 47.2 41.5 19 .2 32.3 19.7 17.5 11 .8 11.8 10.9 20.1 8.3 14.8 8.7 8.3 8.7 7.4 10.9 2.6 4.4 2.6 0.4 0.9 7.9

Female 50-59 yrs 195 52.0 47.6 31.3 32.5 31.0 31.3 21.4 21.8 20.2 19.0 17.5 19.8 17.5 13.9 11.9 13.9 9.9 5.2 7.9 4.0 1.6 1.2 4.8

Female 60 yrs or older 244 46.2 46.2 41.4 31.3 37.3 49.8 30.5 20.5 28.9 19.3 29.3 19.3 24.1 12.0 19.7 13.3 5.2 4.0 6.4 3.2 3.6 2.8 5.2

Kanto 1,443 44.9 38.4 29.2 23.6 22.2 21.2 16.2 16.5 14.5 14.9 12.0 11.5 11.0 10.4 9.5 9.7 8.8 4.4 4.5 2.6 1.2 1.5 8.1

Kansai 539 42.9 41.2 30.1 24.7 21.6 22.7 17.2 15.6 16.4 12.1 13.5 10.8 12.5 11.6 12.1 11.6 8.2 4.4 4.0 3.1 1.8 1.2 7.8

Tokai 302 48.1 44.2 34.1 28.4 23.8 25.3 20.7 19.9 18.6 17.7 15.5 11.6 10.9 11.6 13.3 11.8 11.1 5.8 6.0 3.6 2.8 0.8 6.4

Worker (child 7 yrs and over) 917 45.7 45.2 38.7 28.5 29.6 33.1 23.0 19.6 23.8 15.3 18.6 13.9 15.5 9.7 11.1 11.5 9.0 3.4 5.2 2.9 2.3 2.2 6.1

Worker (child 2-6 yrs) 106 34 .8 33 .0 24 .3 18 .5 18.3 7 .0 10 .0 8 .2 11.9 10.2 7 .5 6.5 5 .4 9.3 8.1 16.0 7.9 7.6 6.1 3.8 3.5 2.7 10.3

Worker (child 1 yr and under) 62 41.9 27 .2 19 .1 15 .0 16 .5 10 .3 16.7 8 .0 4 .7 20.2 5 .1 5 .8 9.1 10.4 8.4 10.3 9.6 3.6 4.7 3.1 ― 1.9 13.3

Worker (married, no children) 502 48.0 41.1 26.7 24.7 18.9 17 .1 14.3 18.4 9 .5 14.7 9.0 9.9 10.7 12.1 11.5 9.0 5.4 5.1 3.5 2.9 0.3 0.4 7.0

Worker (unmarried) 626 43.9 34 .2 22 .8 21.2 16 .6 14 .7 11 .6 13.7 10.6 14.1 9.6 11.0 7.9 11.6 10.7 9.0 11.4 5.6 4.6 2.6 1.3 0.7 10.1

Unmarried male 265 38 .5 26 .6 26.0 16 .8 12 .9 11 .0 10 .8 10 .9 10 .1 10.0 6 .7 7.4 7.4 9.6 4 .9 7.9 9.3 7.4 4.2 3.3 1.5 1.1 14.0

Unmarried female 20s/30s 307 47.8 39.1 22 .1 22.6 15 .8 13 .5 13.0 16.6 9 .6 16.7 8.8 10.8 5 .1 12.8 12.4 9.8 14.4 4.7 4.8 1.9 1.1 ― 7.8

Unmarried female 40s and over 123 42.2 37.3 19 .5 25.9 23.9 24.8 13.7 12.4 12.6 15.1 17.0 15.3 12.6 13.6 13.7 9.2 9.5 3.6 3.0 2.9 1.5 1.4 5.0

Student 70 36 .5 31 .9 25.2 18 .5 11 .2 12 .7 18.3 14.4 7 .4 10.9 7 .4 3 .8 3 .2 12.9 1 .8 10.3 12.9 4.8 1.0 2.8 1.8 ― 6.9

Light 425 42.4 38.1 35.5 19 .1 19.7 16 .4 20.4 12.3 14.7 15.1 8.3 7.4 9.6 9.4 11.7 13.9 8.0 5.2 5.1 2.7 1.2 0.2 8.7

Middle 670 50.5 44.5 27.8 27.6 21.7 20.8 21.2 16.3 14.7 17.5 13.5 8.5 12.2 12.0 12.2 11.7 9.3 5.2 5.2 2.9 0.9 0.4 6.6

Heavy 1,189 42.5 37.8 29.4 24.7 23.5 24.9 13.5 18.5 16.2 12.8 14.0 14.3 11.5 10.7 9.3 8.5 9.1 4.1 4.1 2.9 2.0 2.3 8.2




Number of

trips taken

Area of

residence

Sex & age

Sex

Life

stage

0

10

20

30

40

50

2016 survey total

2015 survey total

2014 survey total

（％）

■Reasons for selection of package tour (Package tour users involved in the consideration of trip/Multiple answers)



Sample

Internet

accessed by

PC

Travel agency

pamphlets

Travel agency

counters

Information

magazines

sent from

travel agents

and airlines

Internet

accessed by

smartphone/

tablet, etc.

Newspaper ads

Email magazine

send by travel

agent or airline

Feedback and

introductions

(word-of-

mouth) of

friends,

acquaintances,

family members

Acquaintances

at travel

agencies

Articles and

ads in general-

interest

magazines

Internet

accessed by

mobile

telephone

(iMode, Ezweb,

Yahoo! Keitai,

etc.)

Free flyers and

flyers in

newspapers

Guidebook-

style

magazines

such as

"Rurubu

Hawaii," etc.

TV programs

and

commercials

Guidebooks

("Chikyuu no

arukikata,"

etc.)

Seikyo

pamphlets and

counters

Transportation

ads on trains

and at stations

Overseas

travel

magazines

other than

guidebook-

style

magazines

Other

Don't know or

don't

remember

2016 survey total 2,284 42.7 20.1 8.6 8.4 7.0 2.8 2.4 1.3 1.0 0.5 0.4 0.4 0.4 0.2 0.2 0.2 0.1 ― 0.6 2.8

2015 survey total 2,405 44.4 20.0 9.8 7.5 5.0 3.4 2.1 1.1 0.5 0.4 0.2 0.6 0.2 0.3 0.2 ― 0.1 0.3 0.9 3.0

2014 survey total 2,484 43.8 23.0 8.5 9.4 2.5 2.9 1.7 1.6 1.0 0.3 0.1 0.2 0.2 0.3 0.1 0.3 0.1 0.1 0.9 2.8

Male 1,071 46.7 18.8 8.2 8.5 4.0 2.9 2.4 1.3 1.2 0.7 0.8 0.1 0.5 0.2 0.3 0.1 0.1 ― 0.2 3.2

Female 1,213 39.1 21.2 9.1 8.4 9.6 2.8 2.4 1.3 1.0 0.2 0.1 0.6 0.2 0.2 0.1 0.2 0.1 ― 0.9 2.4

Male 18-29 yrs 163 34 .8 21.1 15.9 1 .3 9.3 ― 1.3 2.2 2.2 1.3 0.4 0.9 ― ― ― 0.9 0.4 ― 0.4 7.5

Male 30-39 yrs 206 58.3 12 .1 10.2 0 .5 7.8 1.0 0.5 0.5 1.0 0.5 2.9 ― ― 0.5 ― ― ― ― 0.5 3.9

Male 40-49 yrs 225 58.8 16.0 8.0 3.7 2.7 ― 1.6 2.1 1.6 0.5 0.5 ― ― ― 0.5 ― ― ― ― 3.7

Male 50-59 yrs 170 51.4 20.7 6.7 3.9 3.4 3.9 2.2 1.1 1.1 0.6 0.6 ― 1.7 ― 1.1 ― ― ― ― 1.7

Male 60 yrs or older 307 33 .7 22.9 3 .6 23.7 ― 7.2 4.8 0.8 0.4 0.8 ― ― 0.8 0.4 ― ― ― ― ― 0.8

Female 18-29 yrs 306 30 .6 18.1 16.5 1 .2 22.2 ― 0.4 0.8 2.0 ― 0.4 0.8 ― ― ― 0.8 0.4 ― 0.8 4.8

Female 30-39 yrs 258 50.2 18.9 9.7 1 .5 10.0 1.5 0.4 1.5 0.8 0.4 ― ― 0.8 ― 0.4 ― ― ― 0.4 3.5

Female 40-49 yrs 210 50.7 22.3 5.2 6.6 6.1 1.3 2.6 2.2 0.4 0.4 ― 0.4 0.4 0.4 ― ― ― ― ― 0.9

Female 50-59 yrs 195 47.6 21.0 5.6 11.9 2.8 3.6 3.2 1.2 0.8 ― ― 0.8 ― ― ― ― ― ― ― 1.6

Female 60 yrs or older 244 21 .3 26.9 5.2 23.3 1 .6 8.4 6.4 1.2 0.4 0.4 ― 0.8 ― 0.4 ― ― ― ― 3.2 0.4

Kanto 1,443 45.2 18.4 8.2 8.0 6.9 3.1 2.6 1.3 0.7 0.4 0.6 0.3 0.3 0.2 0.1 0.2 ― ― 0.7 2.8

Kansai 539 37 .3 22.6 8.1 10.7 7.9 1.9 2.3 1.6 1.2 0.9 0.3 0.5 0.5 0.2 0.2 0.2 0.1 ― 0.2 3.2

Tokai 302 39.9 23.7 11.6 6.5 5.6 3.4 1.6 1.0 2.3 ― ― 0.6 0.3 0.3 0.6 ― 0.4 ― 0.4 1.7

Worker (child 7 yrs and over) 917 38.5 22.8 5.4 15.4 1 .7 6.1 3.8 1.5 0.9 0.6 0.2 0.4 0.5 0.1 0.2 ― ― ― 0.5 1.3

Worker (child 2-6 yrs) 106 46.5 16.4 6.7 1 .9 13.6 0.9 2.0 ― ― 1.1 5.1 ― ― 0.9 ― ― ― ― ― 4.8

Worker (child 1 yr and under) 62 39.5 16.2 21.8 3.5 7.1 1.6 ― 1.9 ― ― ― ― ― ― ― ― ― ― ― 8.3

Worker (married, no children) 502 42.5 22.5 13.9 4.3 7.1 0.8 1.3 0.7 1.6 0.2 0.2 0.3 0.6 0.2 0.4 ― ― ― 0.6 2.6

Worker (unmarried) 626 49.4 15.8 8.5 3.9 11.7 0.5 1.7 1.5 1.2 0.4 0.3 0.2 0.2 0.2 ― 0.2 0.2 ― 0.7 3.5

Unmarried male 265 58.9 12 .5 6.9 1 .8 6.2 1.2 2.1 1.4 0.8 0.8 0.7 0.3 ― 0.4 ― 0.5 0.3 ― 0.3 4.9

Unmarried female 20s/30s 307 40.8 15.9 10.1 2 .2 20.1 ― ― 1.8 1.5 ― ― 0.8 0.3 ― ― 0.8 0.4 ― 0.7 4.5

Unmarried female 40s and over 123 43.4 21.2 6.4 11.3 8.0 ― 4.5 1.5 0.7 0.7 ― ― ― ― ― ― ― ― 1.6 0.6

Student 70 35 .6 14 .4 5.3 1 .0 21.5 ― 1.0 2.1 ― 1.0 ― 2.8 ― ― ― 3.8 1.0 ― 1.0 9.4

Light 425 36 .8 21.3 15.1 4.3 9.8 0.9 0.9 0.9 1.0 0.8 0.7 0.9 0.5 ― 0.3 0.6 0.3 ― 0.4 4.4

Middle 670 39.5 24.4 10.4 4.8 7.2 3.1 1.3 1.7 1.8 0.4 0.4 0.1 0.1 0.1 0.1 0.2 ― ― 0.3 3.8

Heavy 1,189 46.5 17.2 5.4 12.0 5.8 3.4 3.5 1.2 0.6 0.4 0.4 0.3 0.4 0.3 0.2 ― 0.1 ― 0.8 1.6




and "Internet accessed by mobile telephone (iMode, Ezweb, Yahoo! Keitai, etc.)" was asked about as "By mobile (iMode, Ezweb, Yahoo! Keitai, etc.) site or mobile email."

Number of

trips taken

Area of

residence

Sex & age

Sex

Life

stage

0

10

20

30

40

50

2016 survey total

2015 survey total

2014 survey total

（％）

54

3. Source of Information from Which Package Tour was Found

■Source of information from which package tour was found (Package tour users involved in the consideration of trip/Single answer)



Items considered important

2016 survey by number of trips

Light Middle Heavy

(n=2,284) (n=2,405) (n=425) (n=670) (n=1,189)

Price is cheap for the content 46.9 47.3 39.7 48.2 48.8

Cheap 22.8 22.2 23.0 25.4 21.2

Can pay by credit card 19.7 19.1 14.2 19.7 21.6

Includes spots I want to go to 19.2 21.4 12.9 18.7 21.8

Content/Breakdown of the price indicated is clear 18.4 19.2 14.1 16.5 21.0

There is a lot of free time 14.2 17.3 11.9 15.9 14.1

There is city sightseeing 11.0 11.0 10.3 11.6 10.8

Can visit many tourist spots 10.3 11.9 8.5 11.7 10.2

Discounts are available for early reservations 7.5 8.5 8.3 7.8 7.0

Time stayed at destination is long 7.4 8.3 6.1 7.5 7.7

There is no city sightseeing 2.5 1.6 0.3 1.8 3.6

Discounts are available for children 1.4 2.0 1.5 1.4 1.4

It is an assuring airline 28.6 25.9 25.3 31.8 27.9

There are direct flights 17.1 16.5 13.5 17.5 18.2

It is a well-known airline 11.6 9.6 10.2 12.5 11.6

It is a Japanese airline 9.6 6.7 5.0 9.3 11.4

Is a flight that meets my schedule and connecting flights 7.8 7.8 7.7 7.9 7.8

Departs from nearest airport 7.1 7.6 7.5 6.8 7.2

Premium economy or business class or better 4.1 3.0 0.9 2.7 6.1

Aircraft amenities (width of seats, etc.) are good 3.6 2.1 1.4 3.2 4.5

Aircraft equipment is good (new, clean) 3.2 2.3 2.2 2.1 4.1

I accrue miles / the additional terms are good for the airline I use or an affiliated airline 3.1 2.5 0.6 2.4 4.3

Is not a Low-Cost Carrier 1.5 0.8 0.8 1.6 1.7

Is a Low-Cost Carrier 1.3 1.3 2.1 0.9 1.2

Hotel grade is high / well known 17.2 15.5 15.3 18.6 17.0

Hotel is designated 12.2 13.0 8.5 10.6 14.4

Tourist spots are close to accommodations 11.0 10.6 11.7 13.3 9.5

Transportation is provided to and from hotel 9.2 7.9 8.0 9.6 9.5

There is Japanese staff or Japanese is spoken 7.8 8.1 11.3 11.3 4.5

Hotel room seems clean 7.2 6.2 8.0 8.4 6.3

Is a hotel with sense of luxury 6.5 5.6 5.1 5.9 7.3

Closest station, bus stop or metro is close to accommodations 6.1 4.8 3.9 8.2 5.7

Scenery around the accommodations is nice 5.2 3.9 5.6 6.3 4.4

Has a quiet and subdued ambiance 4.1 3.9 3.3 5.0 3.9

Hotel offers a wide array of facilities such as a spa, pool, gym, etc. 4.1 4.2 3.8 3.0 4.8

Has Internet access 4.1 3.5 3.6 4.5 4.2

Room is spacious 3.7 3.2 3.0 3.3 4.2

Desired bath/toilet is provided 3.5 3.2 3.4 4.1 3.2

View from room 3.4 3.1 3.3 4.0 3.1

Airport is close to accommodations 3.3 2.7 3.6 3.6 3.0

Hotel offers a wide array of amenities 3.3 1.9 2.3 4.6 2.9

Hotel food is sumptuous 2.4 2.3 2.8 2.1 2.4

Desired bedding is provided 2.3 1.7 1.3 2.4 2.6

Has local color/flavor 2.0 2.0 1.6 1.9 2.3

I like the interior décor of the hotel room 1.2 1.5 0.3 0.9 1.7

Early check-in / late check-out is available 0.8 0.5 0.6 0.5 1.1

Is barrier free 0.4 0.2 - 0.3 0.5

Travel agency is very reliable 33.3 32.2 26.6 36.3 34.0

Comes with guide 16.8 17.9 13.7 16.4 18.1

Travel agency response is thorough 12.8 11.8 11.8 13.8 12.7

Travel agency is well known 12.3 10.5 11.8 14.5 11.2

Travel agency has good ability to arrange and do good work 10.2 8.9 6.4 10.8 11.2

Travel agency is familiar 10.2 8.2 6.1 9.3 12.2

There are local staff who speak Japanese 9.7 9.1 11.2 12.5 7.7

The travel agent is highly specialized (has a wealth of travel information/knowledge) 5.9 5.1 4.3 7.7 5.5

There is a backup desk at destinations 4.1 4.7 2.8 6.7 3.2

Travel agency is in a location easy to visit 3.2 2.9 4.2 3.9 2.5

There are benefits for tour participants that are unique to the travel agency 2.0 2.3 1.8 2.2 2.0

Local transportation provided 17.2 * 16.1 19.1 16.4

All breakfasts provided 10.0 11.4 7.7 10.6 10.5

All meals provided 9.5 8.7 5.6 9.8 10.7

Comes with famous dishes 7.8 8.3 5.0 7.9 8.8

Can make reservations right away 4.4 4.7 3.1 3.4 5.4

Possible to participate alone 3.8 3.2 2.9 1.7 5.3

Can increase or decrease the number of nights 1.3 1.6 1.1 1.1 1.5

Local transportation not provided 0.9 * 0.8 0.9 1.0

Other 1.7 1.9 0.4 1.4 2.4

Nothing in particular 4.8 3.4 8.5 4.0 3.9


Oth

er

Accom

moda

tions

Airlin

e a

nd

airp

ort

Budg

et

and

conte

nt

2016

survey

2015

survey

Tra

vel a

gency

0 10 20 30 40 50

2016 survey


2015 survey


（％）

55

4. Points Considered Important Factors When Selecting Package

■Points considered important when selecting package (Package tour users involved in the consideration of trip/Multiple answers)



5. Means of Inquiring to Travel Agencies and Airlines

■Means of inquiry (Those involved in considering travel plans/Multiple answers)

Sample

WebBy

telephoneVisiting By fax Other

Haven't

really

inquired

Don't know

or don't

remember

2016 survey total 3,979 66.6 18.0 17.2 0.7 1.3 8.9 2.0

2015 survey total 4,198 66.9 17.1 18.0 0.6 1.5 8.8 1.6

Male 2,047 70.5 16.4 16.3 0.9 1.0 7.8 1.9

Female 1,932 62.5 19.7 18.1 0.5 1.5 10.1 2.0

Male 18-29 yrs 278 55 .0 18.3 28.9 0.5 1.6 8.0 4.1

Male 30-39 yrs 417 71.4 14.4 15.6 1.7 0.7 9.4 2.6

Male 40-49 yrs 483 74.1 13 .0 13.2 0.5 0.5 8.2 1.7

Male 50-59 yrs 380 77.6 15.0 14.7 0.5 1.7 5.0 1.5

Male 60 yrs or older 489 69.5 21.4 13.9 1.0 1.0 8.1 0.5

Female 18-29 yrs 472 56 .0 16.5 24.1 0.3 2.4 10.2 4.7

Female 30-39 yrs 422 65.1 18.2 21.5 0.9 0.7 6.6 2.6

Female 40-49 yrs 378 67.7 15.5 15.5 0.5 0.7 11.9 ―

Female 50-59 yrs 316 68.3 20.9 13.5 0.2 1.7 11.3 1.0

Female 60 yrs or older 345 57 .1 29.5 13.1 0.6 2.0 11.4 0.9

Kanto 2,517 68.3 18.1 16.5 0.7 1.3 8.0 1.9

Kansai 935 63.3 18.7 19.1 0.4 0.8 10.0 2.4

Tokai 526 64.5 16.3 16.9 0.9 2.1 11.2 1.4

Worker (child 7 yrs and over) 1,429 67.1 21.3 15.0 0.7 1.5 8.8 1.2

Worker (child 2-6 yrs) 196 74.4 13.1 19.7 1.0 ― 5.7 2.2

Worker (child 1 yr and under) 105 54 .8 18.5 28.7 ― 1.1 10.5 4.0

Worker (married, no children) 862 62.6 17.9 21.7 0.8 1.1 8.5 1.5

Worker (unmarried) 1,250 69.0 14.8 15.3 0.6 1.4 9.5 2.5

Unmarried male 652 73.5 13.5 11 .6 0.7 1.2 8.7 3.1

Unmarried female 20s/30s 515 63.2 15.4 19.4 0.6 1.8 10.0 3.6

Unmarried female 40s and over 217 65.4 20.6 16.5 0.4 0.5 11.8 ―

Student 135 62.7 19.4 16.1 0.5 0.5 10.8 6.2

Light 584 48 .8 18.1 30.9 1.4 1.1 8.5 6.0

Middle 995 61 .0 18.4 23.6 0.5 1.6 9.4 1.8

Heavy 2,400 73.3 17.8 11 .2 0.6 1.2 8.8 1.0



† "Web" is the total of "Internet accessed by PC," "Internet accessed by smartphone, tablet, etc.," and "Internet accessed by mobile telephone (iMode, Ezweb, Yahoo! Keitai, etc.)."

Number of

trips taken

Sex

Sex & age

Area of

residence

Life

stage

0

25

50

75

2016 survey total

2015 survey total

（％）



6. Means of Booking with Travel Agencies and Airlines

■Means of booking (Those involved in considering travel plans/Multiple answers)

Sample

Web VisitingBy

telephoneBy fax Other

Have not

made

reservations

Don't know/

Don't

remember

2016 survey total 3,979 69.3 18.9 12.3 0.7 2.4 1.1 2.4

2015 survey total 4,198 67.7 20.4 13.3 0.6 2.1 1.1 1.8

Male 2,047 73.3 17.4 10.7 0.9 2.2 1.3 2.1

Female 1,932 65.0 20.5 14.1 0.6 2.6 0.9 2.7

Male 18-29 yrs 278 56 .3 29.2 10.9 0.3 3.6 2.1 5.7

Male 30-39 yrs 417 76.2 16.3 8.9 1.0 1.7 1.4 2.6

Male 40-49 yrs 483 77.6 15.2 8.7 0.7 2.0 1.2 2.2

Male 50-59 yrs 380 80.0 14.7 9.2 0.7 3.2 0.5 1.0

Male 60 yrs or older 489 71.0 15.9 15.1 1.5 1.3 1.3 0.5

Female 18-29 yrs 472 57 .1 27.5 9.2 0.8 3.7 1.3 6.3

Female 30-39 yrs 422 67.7 22.2 12.5 0.7 1.4 0.5 3.3

Female 40-49 yrs 378 73.3 17.0 12.4 0.5 1.7 0.7 0.2

Female 50-59 yrs 316 68.8 16.5 16.0 0.2 3.2 0.7 1.2

Female 60 yrs or older 345 60 .2 16.5 22.7 0.6 3.1 1.1 1.1

Kanto 2,517 70.7 17.6 12.4 0.8 2.4 1.0 2.4

Kansai 935 66.3 21.4 13.0 0.7 1.7 1.5 2.7

Tokai 526 68.1 20.8 10.5 0.6 3.7 0.6 2.0

Worker (child 7 yrs and over) 1,429 68.1 17.6 15.4 0.9 2.3 1.1 1.4

Worker (child 2-6 yrs) 196 74.8 18.8 7.7 2.9 1.5 1.6 2.2

Worker (child 1 yr and under) 105 58 .1 28.2 9.9 0.9 2.0 3.3 4.6

Worker (married, no children) 862 66.4 22.7 12.1 0.5 2.3 0.3 2.1

Worker (unmarried) 1,250 73.3 17.4 10.1 0.4 2.6 1.1 3.0

Unmarried male 652 78.1 13 .7 8.9 0.3 2.7 1.3 3.7

Unmarried female 20s/30s 515 66.2 21.2 8.8 0.7 3.1 1.4 4.8

Unmarried female 40s and over 217 70.6 17.2 16.8 0.5 2.0 0.9 ―

Student 135 63 .7 15.3 9.7 0.9 4.5 2.9 8.5

Light 584 51 .2 33.1 9.7 1.4 2.1 1.1 6.8

Middle 995 61 .9 26.1 11.5 0.8 2.6 1.4 2.8

Heavy 2,400 76.8 12 .5 13.3 0.6 2.4 0.9 1.2



† "Web" is the total of "Internet accessed by PC," "Internet accessed by smartphone, tablet, etc.," and "Internet accessed by mobile telephone (iMode, Ezweb, Yahoo! Keitai, etc.)."

Area of

residence

Sex & age

Sex

Life

stage

Number of

trips taken

0

25

50

75

2016 survey total

2015 survey total

（％）

59

Chapter 4

Process of Arranged Travel Selection

Part 1 Trends in Overseas Travel Booking in 2015 Chapter 4 Process of Arranged Travel Selection


1. Matters Arranged Prior to Departure

Sample

Air ticketsHotel

Accommodations

Optional

tour / Local

activities

Car rentals Other

2016 survey total 1,694 93.9 77.8 14.8 8.1 5.9

2015 survey total 1,793 92.8 77.1 15.0 9.0 7.7

2014 survey total 1,657 94.5 80.5 18.0 9.1 6.1

Male 976 94.2 79.4 14.2 8.9 5.2

Female 719 93.4 75.7 15.6 7.0 6.8

Male 18-29 yrs 115 96.3 70 .6 11.9 5.0 2.5

Male 30-39 yrs 210 93.8 73.3 15.2 6.2 2.4

Male 40-49 yrs 258 95.8 82.7 12.1 8.9 3.3

Male 50-59 yrs 211 95.5 86.0 13.1 11.7 5.9

Male 60 yrs or older 182 89.9 79.7 18.9 11.5 12.2

Female 18-29 yrs 165 89.6 67 .9 17.2 3 .0 2.2

Female 30-39 yrs 164 95.8 73.3 15.8 6.1 7.3

Female 40-49 yrs 168 94.0 80.9 14.8 9.3 4.9

Female 50-59 yrs 120 98.1 83.9 18.7 7.7 11.6

Female 60 yrs or older 101 89.3 73.8 10.7 10.7 10.7

Kanto 1,074 93.9 78.5 14.8 8.9 6.3

Kansai 396 93.5 76.9 15.3 7.5 4.9

Tokai 224 94.5 76.5 14.0 5.9 5.7

Worker (child 7 yrs and over) 512 93.2 80.7 15.6 11.6 7.5

Worker (child 2-6 yrs) 90 91.5 69 .4 16.6 16.2 4.4

Worker (child 1 yr and under) 43 92.0 74.9 18.7 2 .3 2.3

Worker (married, no children) 360 96.1 81.9 12.5 9.1 6.4

Worker (unmarried) 624 93.3 75.9 14.7 4.8 5.1

Unmarried male 387 95.5 76.9 10.8 5.9 4.1

Unmarried female 20s/30s 208 91.7 67 .7 18.6 3 .1 3.6

Unmarried female 40s and over 94 90.5 82.1 24.2 1 .0 10.2

Student 66 97.0 64 .9 17.9 ― 1.9

Light 159 93.7 65 .6 13.9 2 .4 3.0

Middle 325 92.4 73.0 15.0 5.5 4.7

Heavy 1,211 94.3 80.7 14.9 9.6 6.6



Sex

Sex & age

Number

of

trips taken

Area of

residence

Life

stage

0

20

40

60

80

100

2016 survey total

2015 survey total

2014 survey total

（％）

■Matters arranged prior to departure

(Those who made travel arrangements and were involved in consideration of the travel plans/Multiple answers)



Sample

Internet

accessed by

PC

Internet

accessed by

smartphone/

tablet, etc.

Travel agency

counters

Email magazine

send by travel

agent or airline

Feedback and

introductions

(word-of-

mouth) of

friends,

acquaintances,

family members

Acquaintances

at travel

agencies

Travel agency

pamphlets

Internet

accessed by

mobile

telephone

(iMode, Ezweb,

Yahoo! Keitai,

etc.)

Articles and

ads in general-

interest

magazines

Guidebook-

style

magazines

such as

"Rurubu

Hawaii," etc.

Guidebooks

("Chikyuu no

arukikata,"

etc.)

Information

magazines

sent from

travel agents

and airlines

Newspaper ads

Seikyo

pamphlets and

counters

Overseas

travel

magazines

other than

guidebook-

style

magazines

Free flyers and

flyers in

newspapers

Transportation

ads on trains

and at stations

TV programs

and

commercials

Other

I don't really

gather

information

2016 survey total 1,591 76.2 8.7 4.1 1.9 0.9 0.8 0.3 0.1 0.1 0.1 0.1 0.1 0.1 ― ― ― ― ― 1.1 5.4

2015 survey total 1,663 80.2 4.1 4.2 1.0 1.2 1.7 0.2 0.1 0.1 0.1 0.1 0.3 0.1 ― 0.1 0.1 ― ― 1.2 5.2

2014 survey total 1,567 80.4 3.1 4.5 1.8 1.2 1.3 1.0 ― ― 0.1 0.1 0.3 0.1 0.1 0.1 ― 0.1 ― 0.6 5.4

Male 920 79.7 6.1 3.8 1.9 0.7 0.8 0.2 ― ― ― 0.1 ― 0.1 0.1 ― ― ― ― 0.9 5.6

Female 671 71.5 12.3 4.4 1.9 1.3 0.9 0.4 0.3 0.3 0.2 ― 0.1 ― ― ― ― ― ― 1.4 5.1

Male 18-29 yrs 111 66 .9 11.0 5.8 0.6 ― 1.9 0.6 ― ― ― ― ― ― 0.6 ― ― ― ― 1.9 10.4

Male 30-39 yrs 197 84.3 6.6 2.0 0.5 1.0 0.5 0.5 ― ― ― ― ― ― ― ― ― ― ― ― 4.6

Male 40-49 yrs 247 81.5 6.3 2.4 2.0 1.0 1.0 ― ― ― ― ― ― ― ― ― ― ― ― 0.5 5.4

Male 50-59 yrs 201 82.5 6.1 1.9 1.9 0.9 0.5 ― ― ― ― ― ― 0.5 ― ― ― ― ― ― 5.7

Male 60 yrs or older 164 76.7 1 .5 9.0 4.5 ― 0.8 ― ― ― ― 0.8 ― ― ― ― ― ― ― 3.0 3.8

Female 18-29 yrs 148 56 .7 25.8 4.2 0.8 0.8 0.8 ― ― ― 0.8 ― ― ― ― ― ― ― ― 1.7 8.3

Female 30-39 yrs 157 63 .3 17.7 7.6 0.6 1.9 0.6 0.6 1.3 ― ― ― 0.6 ― ― ― ― ― ― 1.3 4.4

Female 40-49 yrs 158 83.1 7.0 1.7 1.7 1.2 ― 1.2 ― 0.6 ― ― ― ― ― ― ― ― ― 1.2 2.3

Female 50-59 yrs 118 77.0 4.6 3.9 3.9 1.3 1.3 ― ― 0.7 ― ― ― ― ― ― ― ― ― 2.0 5.3

Female 60 yrs or older 90 82.6 ― 4.3 3.3 1.1 2.2 ― ― ― ― ― ― ― ― ― ― ― ― 1.1 5.4

Kanto 1,008 77.1 8.9 3.6 1.9 0.8 0.5 0.3 0.2 0.1 ― ― 0.1 0.1 0.1 ― ― ― ― 1.1 5.1

Kansai 371 73.2 8.2 5.2 1.9 1.5 1.7 0.5 ― 0.2 0.3 0.3 ― ― ― ― ― ― ― 0.2 6.7

Tokai 212 77.3 8.5 4.1 1.7 0.4 0.9 ― ― ― ― ― ― ― ― ― ― ― ― 2.7 4.4

Worker (child 7 yrs and over) 477 76.5 5.1 5.2 3.1 0.7 0.8 0.2 ― 0.2 ― 0.3 ― 0.2 ― ― ― ― ― 1.8 5.8

Worker (child 2-6 yrs) 82 76.0 12.5 1.2 1.1 3.8 ― ― 1.2 ― ― ― ― ― ― ― ― ― ― ― 4.1

Worker (child 1 yr and under) 40 64 .3 14.7 8.1 ― 4.9 ― 2.3 ― ― ― ― ― ― ― ― ― ― ― ― 5.6

Worker (married, no children) 346 78.6 9.0 3.9 2.3 0.8 0.9 ― ― ― ― ― ― ― ― ― ― ― ― 0.5 4.0

Worker (unmarried) 582 76.6 10.5 3.2 0.8 0.4 1.1 0.5 0.2 0.1 0.2 ― 0.2 ― 0.1 ― ― ― ― 0.8 5.4

Unmarried male 370 81.4 5.9 3.0 0.8 0.3 0.9 0.5 ― ― ― ― ― ― 0.2 ― ― ― ― 0.6 6.4

Unmarried female 20s/30s 190 59 .4 22.3 5.2 0.6 1.2 0.6 0.5 0.5 ― 0.6 ― 0.5 ― ― ― ― ― ― 2.3 6.1

Unmarried female 40s and over 85 86.8 3 .1 ― 2.9 ― 2.3 ― ― 0.9 ― ― ― ― ― ― ― ― ― 0.9 3.1

Student 64 65 .6 9.2 5.3 3.1 1.9 ― ― ― ― ― ― ― ― ― ― ― ― ― 4.2 10.7

Light 149 62 .2 9.4 7.3 1.3 2.1 0.5 1.1 0.7 ― ― ― ― ― 0.5 ― ― ― ― 1.7 13.3

Middle 300 70 .0 12.5 6.5 2.6 0.3 0.7 0.7 0.3 ― 0.4 ― 0.3 ― ― ― ― ― ― 1.5 4.2

Heavy 1,142 79.7 7.6 3.0 1.8 0.9 0.9 0.1 ― 0.1 ― 0.1 ― 0.1 ― ― ― ― ― 1.0 4.6




and "Internet accessed by mobile telephone (iMode, Ezweb, Yahoo! Keitai, etc.)" was asked about as "By mobile (iMode, Ezweb, Yahoo! Keitai, etc.) site or mobile email."

Number

of

trips taken

Area of

residence

Sex & age

Sex

Life

stage

0

20

40

60

80

100

2016 survey total

2015 survey total

2014 survey total

（％）

61

2. Sources of Information Used to Find Air Tickets

■Sources of information used to arrange air tickets

(Those who arranged air tickets in advance and were involved in consideration of the travel plans/Single answer)



3. Means of Arranging Air Tickets

Sample

WebsiteOn

phone

Branch,

shop,

counter

Other

meansWebsite

Branch,

shop,

counter

On

phone

Other

meansWebsite

On

phone

Other

means

Branch,

shop,

counter

2016 survey total 1,591 55.9 2.1 1.4 0.6 15.1 4.5 2.0 0.1 10.0 0.6 0.4 0.1 3.3 4.0

2015 survey total 1,663 57.6 2.7 1.8 0.6 16.0 4.3 2.7 1.1 7.6 0.3 0.2 0.3 2.2 2.5

2014 survey total 1,567 56.7 2.2 1.7 0.8 15.2 5.4 2.9 1.6 8.0 0.7 0.1 0.3 1.9 2.5

Male 920 58.5 1.4 1.5 0.6 16.3 4.2 2.2 0.2 7.8 0.6 0.3 0.1 2.9 3.4

Female 671 52.5 3.1 1.2 0.6 13.5 4.9 1.6 0.1 12.9 0.6 0.4 ― 3.9 4.7

Male 18-29 yrs 111 46 .1 2.6 4.5 1.3 11.0 6.5 0.6 1.3 11.7 0.6 0.6 ― 2.6 10.4

Male 30-39 yrs 197 57.9 2.0 1.5 0.5 17.3 3.6 2.0 ― 7.6 1.0 ― ― 1.5 5.1

Male 40-49 yrs 247 63.4 0.5 1.0 0.5 15.1 2.4 2.4 ― 6.8 ― 1.0 0.5 3.9 2.4

Male 50-59 yrs 201 62.7 1.9 0.5 0.9 15.1 2.4 2.8 ― 10.4 ― ― ― 1.9 1.4

Male 60 yrs or older 164 54.9 0.8 1.5 ― 21.8 8.3 2.3 ― 3 .8 1.5 ― ― 4.5 0.8

Female 18-29 yrs 148 37 .5 0.8 0.8 ― 11.7 5.0 ― ― 26.7 0.8 ― ― 5.8 10.8

Female 30-39 yrs 157 51.3 3.8 3.2 ― 12.7 7.0 1.9 ― 11.4 1.3 ― ― 4.4 3.2

Female 40-49 yrs 158 58.1 3.5 0.6 1.7 17.4 1.7 1.2 0.6 9.3 0.6 0.6 ― 3.5 1.2

Female 50-59 yrs 118 60.5 3.3 ― ― 11.2 5.9 2.0 ― 7.2 ― 0.7 ― 2.6 6.6

Female 60 yrs or older 90 58.7 4.3 1.1 1.1 14.1 5.4 4.3 ― 6.5 ― 1.1 ― 2.2 1.1

Kanto 1,008 57.4 2.4 1.2 0.7 14.9 4.5 1.9 0.1 9.6 0.5 0.2 ― 3.2 3.6

Kansai 371 55.3 1.6 1.7 0.5 13.2 5.1 2.0 0.2 9.7 0.8 0.7 ― 3.6 5.5

Tokai 212 49 .9 1.7 2.0 ― 19.7 3.5 2.3 0.3 12.2 0.5 0.5 0.6 3.7 3.2

Worker (child 7 yrs and over) 477 59.0 1.8 1.2 0.6 15.4 5.9 3.1 ― 6.3 0.3 0.4 ― 3.6 2.5

Worker (child 2-6 yrs) 82 63.4 1.2 1.2 1.1 10 .0 2.4 ― ― 8.3 ― ― 1.5 1.5 9.3

Worker (child 1 yr and under) 40 34 .1 6.8 2.3 ― 6 .7 10.6 ― ― 15.7 2.5 ― ― 10.1 11.2

Worker (married, no children) 346 60.6 2.6 1.1 0.9 14.5 3.7 2.2 0.5 8.3 0.6 0.6 ― 2.5 2.1

Worker (unmarried) 582 52.0 2.1 1.3 0.3 16.7 3.9 1.4 ― 13.6 0.9 0.3 ― 3.4 4.1

Unmarried male 370 55.7 2.1 1.3 0.6 16.3 4.5 1.4 0.2 10.4 0.8 0.2 ― 1.9 4.7

Unmarried female 20s/30s 190 41 .3 0.6 2.7 ― 14.5 4.2 0.5 ― 22.5 1.2 ― ― 5.6 6.9

Unmarried female 40s and over 85 57.1 4.2 ― ― 21.0 ― 3.4 ― 6.0 ― 1.1 ― 5.2 2.0

Student 64 48 .0 ― 4.5 1.1 13.7 3.1 1.1 1.1 10.8 ― ― ― 3.9 12.6

Light 149 40 .8 1.1 3.3 ― 12.9 6.7 1.3 0.5 8.3 0.5 1.9 ― 7.1 15.7

Middle 300 47 .7 1.9 2.5 0.2 15.5 7.8 1.3 0.2 15.0 0.7 ― ― 3.3 4.0

Heavy 1,142 60.1 2.3 0.8 0.7 15.3 3.3 2.2 0.1 8.9 0.6 0.3 0.1 2.8 2.4



Area of

residence

Sex & age

Sex

Number

of

trips taken

Life

stage

Don't

know

Arrangement through airline Arrangement through travel agentArrangement through shop

specializing in bargain air tickets Arranged

through

other

means

0

20

40

60

2016 survey total

2015 survey total

2014 survey total

（％）

■Means of arranging air tickets

(Those who arranged air tickets in advance and were involved in the consideration of travel/Single answer)



Sample

It is

an a

ssuring

airlin

e

There

are

direct

fligh

ts

The flig

ht

suits

my

schedu

le

It is

a J

apan

ese

airlin

e

It is

a w

ell-

know

n t

rave

l age

ncy

Eas

y to

use

accum

ula

ted

mile

s

Price w

as c

heap

er

than

oth

er

ticke

ts

for

the s

ame c

ondi

tions

I ac

cru

e m

iles

/ t

he a

dditio

nal

term

s

are g

ood

for

the a

irlin

e I u

se

Connecting

fligh

ts a

re c

onve

nie

nt

Is a

Low

-C

ost

Car

rier

Depa

rts

from

near

est

airpo

rt

Cab

in c

rew

pro

vide

s go

od

serv

ice

Airlin

e n

atio

nal

ity

sam

e a

s de

stin

atio

n

Full

lineup

of in

-fli

ght

food

is o

ffere

d

I ac

cru

e m

iles

/ t

he a

dditio

nal

term

s

are g

ood

for

the a

irlin

e I u

se o

r an

affil

iate

d ai

rlin

e

Aircra

ft e

quip

ment

is g

ood

(new

, cle

an)

In-fli

ght

ente

rtai

nm

ent

(movi

es,

musi

c,

in-fli

ght

mag

azin

e, e

tc.)

Aircra

ft a

menitie

s (w

idth

of se

ats,

etc

.)

are g

ood

There

are

cab

in c

rew

who s

peak

Jap

anese

Is b

usi

ness

cla

ss o

r hig

her

Can

buy

thro

ugh

a m

eth

od

I am

accust

om

ed

to

Price w

as c

heap

er

than

oth

er

ticke

ts

but

the c

ondi

tions

were

not

the s

ame

Airpo

rt g

round

cre

w p

rovi

des

good

serv

ice

Airlin

e s

taff a

t ai

rport

are

good

at w

hat

they

do

The a

irlin

e is

desi

gnat

ed

Not

a lo

w c

ost

car

rier

Was

recom

mende

d by

a t

rave

l age

nt

Oth

er

Noth

ing

in p

articula

r

I di

dn't c

hoose

the a

irlin

e

2016 survey total 1,591 41.1 31.7 31.5 16.0 15.8 14.7 12.7 11.3 10.8 9.8 8.8 8.1 7.3 7.2 7.0 6.6 5.4 5.4 5.3 5.1 4.5 4.4 3.3 2.8 2.4 1.9 0.7 2.7 4.2 3.2

2015 survey total 1,663 38.0 37.3 36.2 16.3 16.5 13.2 13.9 14.5 9.8 10.4 8.7 8.5 6.4 6.1 5.9 6.3 5.8 5.0 5.1 5.6 4.9 4.1 4.0 2.5 3.4 * 0.7 2.2 3.3 3.7

2014 survey total 1,567 39.8 33.8 34.9 14.7 14.8 12.3 14.0 18.4 11.7 9.0 10.4 9.2 5.8 7.0 6.2 7.7 6.5 5.1 6.5 5.6 6.5 4.0 4.6 3.3 4.1 * 0.8 2.3 4.0 4.1

Male 920 ①42.2 ②30.7 ③29.6 ④18.7 ⑤17.3 15.6 10.8 11.7 8.5 10.2 8.3 9.0 7.1 7.8 7.6 8.1 4.8 6.4 5.7 6.8 4.2 3.7 3.6 3.0 1.5 2.1 0.7 2.9 4.4 2.3

Female 671 ①39.5 ③32.9 ②34.1 12.2 13.7 13.4 ④15.2 10.7 ⑤13.8 9.3 9.6 6.8 7.7 6.3 6.1 4.6 6.2 4.0 4.7 2.9 4.8 5.3 3.0 2.5 3.6 1.7 0.7 2.5 3.8 4.5

Male 18-29 yrs 111 ①35 .1 ②29.2 ③27.3 ⑤12.3 11.0 5 .8 11.7 7.1 9.1 ④16.2 7.8 8.4 2.6 5.8 5.2 6.5 5.2 5.8 3.2 1.9 1.9 5.2 1.9 1.9 ― 1.3 1.9 2.6 7.1 5.2

Male 30-39 yrs 197 ①46.2 ②25 .9 ③24 .4 ⑤15.2 ④20.3 11.2 12.2 8.6 8.1 7.6 7.6 5.6 4.6 5.1 7.6 6.1 3.6 4.6 6.6 5.1 4.6 4.1 2.0 2.5 1.5 2.0 0.5 0.5 7.1 1.0

Male 40-49 yrs 247 ①45.4 ②36.1 ③32.2 ⑤19.0 16.6 ④19.5 11.2 16.1 7.8 11.2 9.8 12.2 6.3 9.8 9.3 6.8 6.8 6.8 4.4 7.3 3.9 5.4 3.9 3.4 ― 2.4 0.5 1.5 2.9 2.4

Male 50-59 yrs 201 ①39.6 ③29.7 ②30.2 ④20.8 17.9 ⑤19.3 9.4 12.7 8.5 9.0 8.0 9.4 9.4 7.1 7.1 8.0 2.4 5.7 5.7 8.0 3.3 2.4 4.2 2.8 2.4 1.9 ― 3.3 3.3 1.9

Male 60 yrs or older 164 ①40.6 ③30.8 ②33.1 ④24.1 ⑤18.0 17.3 9.8 10.5 9.8 9.0 7.5 8.3 11.3 10.5 7.5 13.5 6.0 9.0 8.3 9.8 6.8 1.5 5.3 3.8 3.8 2.3 1.5 7.5 3.0 2.3

Female 18-29 yrs 148 ②35 .0 ③29.2 ①36.7 6 .7 ⑤16.7 5 .0 ④20.0 4 .2 14.2 10.8 9.2 6.7 5.0 7.5 2.5 3.3 2.5 2.5 5.0 1.7 2.5 7.5 2.5 0.8 4.2 0.8 1.7 0.8 5.8 10.0

Female 30-39 yrs 157 ①43.7 ②36.1 ③34.8 8 .2 10 .1 10.8 ④15.8 10.1 12.0 ⑤13.3 9.5 5.1 10.8 6.3 4.4 1 .3 7.6 1.3 4.4 1.3 3.8 5.7 3.2 1.9 3.2 1.3 1.3 1.9 3.2 3.8

Female 40-49 yrs 158 ①34 .9 ③30.8 ②34.3 12.2 12.2 ④17.4 ⑤14.0 13.4 12.2 8.1 8.1 5.2 7.0 7.0 8.7 5.8 8.7 3.5 2.3 2.9 5.2 2.9 2.9 2.3 4.1 3.5 ― 4.1 4.1 1.7

Female 50-59 yrs 118 ②32 .9 ③32.2 ①34.9 ⑤16.4 12.5 ④18.4 12.5 11.8 14.5 9.2 10.5 9.2 6.6 4.6 7.2 5.3 7.2 5.9 5.9 5.3 3.9 5.9 2.6 3.3 3.3 0.7 ― 1.3 4.6 3.9

Female 60 yrs or older 90 ①56.5 ②38.0 ③27.2 ④22.8 ⑤19.6 18.5 12.0 16.3 18.5 2 .2 12.0 9.8 9.8 5.4 8.7 9.8 4.3 9.8 7.6 4.3 10.9 4.3 4.3 5.4 3.3 2.2 ― 5.4 ― 2.2

Kanto 1,008 ①42.8 ②32.9 ③31.3 ④18.6 ⑤16.4 16.3 12.5 13.6 10.2 8.0 7.6 8.3 7.2 7.7 7.6 6.3 5.5 5.1 5.2 5.8 4.3 3.9 3.5 2.9 2.5 2.1 0.3 2.7 3.9 3.0

Kansai 371 ①34 .8 ③29.3 ②33.6 10 .2 ⑤13.6 10.5 12.3 7.0 11.1 ④15.4 10.2 8.1 6.8 5.5 6.4 5.8 4.7 5.3 4.4 3.2 4.0 5.6 3.3 2.9 1.7 1.7 1.8 3.1 5.2 4.8

Tokai 212 ①43.9 ②29.8 ③29.0 13.4 ④16.7 ⑤14.6 14.1 7.9 12.9 8.6 12.4 7.1 8.9 7.7 5.2 9.7 6.1 7.0 7.1 5.5 5.9 4.4 2.8 1.9 3.1 1.1 0.6 2.2 3.4 1.5

Worker (child 7 yrs and over) 477 ①41.1 ②31.6 ③30.3 ④20.6 ⑤18.6 17.3 11.3 11.8 11.7 9.1 9.4 8.9 8.4 7.1 7.5 8.6 4.6 7.0 6.0 6.0 4.6 3.0 4.6 3.1 2.8 2.2 0.7 4.4 3.6 2.3

Worker (child 2-6 yrs) 82 ①45.8 ②37.8 ③25 .2 13.6 11.5 ④17.4 7 .0 ⑤14.2 3 .8 5.3 3 .6 11.6 4.7 11.5 8.7 5.3 5.0 3.8 4.8 4.2 3.6 5.4 6.5 3.5 ― 0.9 ― 1.2 6.1 2.6

Worker (child 1 yr and under) 40 ①46.9 ②41.1 ③30.9 ④18.5 ⑤17.9 13.6 9.9 16.1 8.7 14.9 8.1 9.9 6.1 8.4 16.7 6.1 8.4 3.0 8.6 9.8 7.8 8.1 7.4 4.8 2.5 3.0 ― ― 7.4 8.1

Worker (married, no children) 346 ①41.4 ③31.9 ②33.1 ⑤17.0 15.3 ④19.0 11.9 11.8 11.5 8.0 9.2 8.4 6.3 8.7 6.6 6.7 4.9 5.3 5.5 5.8 4.4 4.4 3.3 2.9 2.3 1.0 0.3 2.5 2.2 2.8

Worker (unmarried) 582 ①40.5 ③31.0 ②33.0 12.4 ⑤14.4 11.1 ④14.9 10.7 11.0 11.3 8.5 6.8 7.7 5.9 6.6 4.9 6.3 4.4 4.6 4.2 4.3 4.8 1.6 2.1 2.8 2.5 0.8 1.8 4.9 2.9

Unmarried male 370 ①40.9 ②30.3 ③29.5 ④14.6 ⑤14.3 10.7 12.2 11.5 9.3 11.9 8.1 7.7 7.1 6.2 7.6 6.6 5.5 5.7 4.7 5.9 4.4 5.5 1.7 2.6 1.6 2.5 0.7 2.0 5.0 2.6

Unmarried female 20s/30s 190 ①38.9 ③29.6 ②35.7 7 .7 ⑤15.9 5 .7 ④19.8 5 .6 13.4 12.4 11.2 4.9 7.4 6.0 2.7 3.0 5.1 1.8 5.3 0.6 3.5 4.9 1.8 0.6 3.5 1.2 1.8 1.7 5.6 6.8

Unmarried female 40s and over 85 ②37.9 ③31.6 ①38.1 11.3 11.3 ④18.5 ⑤16.6 13.1 10.8 8.9 7.8 6.9 9.4 4.1 6.3 5.4 11.4 6.0 1.8 3.1 5.3 3.2 1.8 4.0 4.0 3.2 ― 3.1 5.1 3.3

Student 64 ①34 .1 ③23 .2 ②26.8 9 .5 13.9 2 .3 ④15.7 3 .1 7.6 ⑤14.2 13.0 6.5 6.1 5.3 ― 9.8 4.5 6.5 3.8 1.9 3.9 7.3 3.1 3.1 ― ― 3.1 4.2 7.3 13.1

Light 149 ①37.4 ②29.6 ③23 .4 ⑤11.7 ④17.0 5 .0 8.2 ― 3 .9 8.8 4.3 2 .3 5.3 5.5 1 .2 2.7 2.2 2.0 5.2 2.0 2.2 1.5 0.5 1.2 0.7 0.6 1.0 1.2 7.6 13.3

Middle 300 ①40.1 ③32.2 ②33.1 13.6 ④16.3 10.1 ⑤15.1 6.7 11.6 11.4 9.4 7.7 7.1 6.9 3.8 5.8 3.0 4.5 7.1 2.4 2.3 4.5 3.2 1.6 3.0 0.6 1.6 1.5 6.3 3.2

Heavy 1,142 ①41.8 ③31.8 ②32.2 ⑤17.1 15.5 ④17.2 12.6 13.9 11.4 9.5 9.3 9.0 7.7 7.5 8.6 7.3 6.5 6.0 4.8 6.2 5.3 4.7 3.7 3.3 2.5 2.4 0.5 3.3 3.2 1.9



† ①, ②, ③, ④, and ⑤ are the five most important attributes (excluding "Other,""Nothing in particular," and "I didn't choose the airline") as seen by demographic and sex.

† In the survey before last (implemented in 2014) and before, "I accrue miles for the mileage program of the airline I use / the additional terms are good" was asked about as "I accrue miles for the mileage program of the airline I use,"

　 and "I accrue miles for the airline I use or an affiliated airline / the additional terms are good" was asked about as "I accrue miles for the airline I use or an affiliated airline."

Number

of

trips taken

Life

stage

Sex

Area of

residence

Sex & age

0

10

20

30

40

50

2016 survey total

2015 survey total

2014 survey total

（％）

4. Key Factors When Choosing Airlines

■Key factors when choosing airlines

(Those who arranged air tickets in advance and were involved in consideration of the travel plans/Multiple answers)

65

Part 2

Satisfaction with Travel Destinations

Part 2 Satisfaction with Travel Destinations


■Overall degree of satisfaction: by last travel destination, first destination (Total/Single answer)

I went with expectation

and found those

expectations met

I went without

expectations but found

it was good upon going

I went without

expectations and found

that it wasn't good

I went with expectations

but ended up disappointed

was good /

Total

●Legend

2016 survey total (n=4,802) 91.0

2015 survey total (n=5,000) 90.6

UK (n=116) 91.1

France (n=156) 92.5

Germany (n=123) 95.2

Spain (n=107) 93.2

Italy (n=184) 92.1

Other countries in western Europe (n=155) 95.3

Other places in Europe (n=156) 92.8

Turkey (n=18) 94.5

Other Middle East or Africa (n=40) 84.6

USA east (n=138) 93.3

USA west (n=174) 92.6

USA south (n=38) 94.1

Canada or

AlaskaCanada (n=63) 95.7

Central/SouthAmericaorCaribbean (n=40) 94.8

Hawaii (Oahu) (n=489) 95.0

Hawaii (other than Oahu) (n=103) 89.1

Guam (n=268) 89.6

Saipan (n=29) 92.4

South Pacific islands or other islands (n=51) 91.4

Shanghai (n=58) 73.1

Beijing (n=22) 89.8

Other China (exc. Hong Kong / Macau) (n=66) 92.3

Hong Kong (n=145) 80.0

Macau (n=25) 86.1

Taiwan (n=573) 90.4

Korea (n=337) 89.1

Singapore (n=197) 92.7

Phuket (n=36) 85.8

Thai beaches (other than Phuket) (n=23) 86.3

Bangkok or other Thai cities (n=195) 95.9

Bali (n=84) 86.6

Malaysia (n=74) 90.8

Philippines (n=75) 86.5

Vietnam (n=148) 84.0

Cambodia (n=50) 95.6

Other places in Asia (n=62) 81.9

Australia (n=127) 95.7

New Zealand or other Oceania (n=38) 93.1

Long distance/total (n=1,519) 93.0

Medium distance/total (n=1,685) 91.8

Short distance/total (n=1,598) 88.3

† "Was good/Total" represents the sum of "I went with expectations and found those expectations met" and "I went without expectations but found it was good upon going."

† For those who visited multiple countries/areas on their last trip in 2015, questioning about degree of satisfaction was limited to the country/area that was the first destination.

† Items with under 30 samples are provided as reference data.

† Items with under 10 samples are not indicated in the table.

Ocean

iaG

uam

or

Sai

pan

Haw

aii

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)

Euro

peM

iddl

e E

ast

or

Afr

ica

US

A (exc

ludi

ng

Haw

aii a

nd

Ala

ska)

Hong

Kong

or

Mac

au

76.8％

76.3

79.7

83.7

80.5

78.7

86.5

84.5

78.6

89.5

70.8

79.1

81.7

85.9

86.3

86.4

84.9

82.5

69.4

78.4

87.1

51.5

55.6

68.4

63.3

73.5

78.6

70.3

80.7

73.6

73.6

77.9

69.1

56.1

66.9

58.3

79.5

67.2

79.2

85.8

81.9

77.3

71.5

14.2

14.3

11.4

8.8

14.7

14.5

5.6

10.8

14.2

5.0

13.8

14.3

10.9

8.3

9.4

8.4

10.1

6.7

20.2

14.0

4.3

21.6

34.2

23.9

16.7

12.5

11.8

18.8

12.1

12.2

12.6

18.0

17.5

34.6

19.6

25.7

16.1

14.7

16.6

7.3

11.1

14.5

16.7

2.1

2.2

2.3

1.2

-

0.9

1.3

-

1.4

-

-

-

2.0

2.6

-

-

1.4

1.7

2.4

-

2.4

11.5

5.6

6.2

5.5

-

1.9

4.5

1.5

3.3

5.4

1.0

1.5

3.0

5.4

2.1

2.0

3.6

2.1

1.9

1.0

1.9

3.5

6.8

7.1

6.6

6.2

4.8

5.9

6.5

4.7

5.8

5.5

15.4

6.7

5.5

3.2

4.3

5.2

3.6

9.2

8.0

7.6

6.2

15.4

4.6

1.5

14.6

13.9

7.7

6.3

5.8

10.9

8.4

3.1

11.9

6.3

8.1

13.9

2.4

14.6

2.1

5.0

6.0

6.3

8.2

South

eas

t A

sia

1. Satisfaction with Travel Destinations

1) Overall



1. Satisfaction with Travel Destinations2) Sightseeing / Viewing

■Degree of satisfaction with sightseeing /viewing: by last travel destination, first destination (Total/Single answer)


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2016 survey total (n=4,406) 90.9

2015 survey total (n=4,600) 90.3

UK (n=110) 89.5

France (n=150) 96.2


Spain (n=105) 92.8

Italy (n=182) 95.4



Turkey (n=17) 94.2


USA east (n=132) 95.3

USA west (n=157) 94.6


Canada or





Guam (n=226) 86.4

Saipan (n=25) 95.1



Beijing (n=20) 90.1



Macau (n=25) 91.2

Taiwan (n=538) 89.6

Korea (n=277) 83.6


Phuket (n=31) 77.4



Bali (n=74) 90.2















Euro

peM

iddl

e E

ast

or

Afr

ica

US

A (exc

ludi

ng

Haw

aii a

nd

Ala

ska)

Hong

Kong

or

Mac

auO

cean

iaG

uam

or

Sai

pan

Haw

aii

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)

77.0％

76.0

79.2

87.3

83.0

80.9

90.4

87.0

79.8

88.9

77.1

78.3

83.5

74.0

88.6

92.3

85.5

77.2

68.8

68.0

76.3

59.9

58.1

64.9

70.4

75.4

76.6

65.2

76.5

57.9

69.3

78.0

71.8

57.8

66.2

56.4

87.8

73.1

82.1

78.8

83.7

76.6

70.6

13.8

14.3

10.3

9.0

7.6

11.8

5.0

9.3

13.0

5.3

17.1

16.9

11.1

15.8

3.9

4.7

8.3

9.7

17.6

27.1

9.6

25.0

32.0

26.0

18.0

15.8

13.0

18.4

14.3

19.5

17.3

15.1

18.4

33.7

16.0

30.1

6.9

10.6

15.0

13.4

10.2

14.5

16.9

1.9

2.4

0.9

0.8

-

1.2

-

0.8

0.7

-

-

-

-

2.9

1.7

-

1.4

1.7

4.5

-

8.0

4.9

-

5.6

2.5

-

2.4

5.3

1.4

6.4

7.4

1.1

-

2.0

7.7

1.7

-

1.8

1.4

-

0.5

1.7

3.6

7.2

7.4

9.6

3.0

9.4

6.1

4.6

2.9

6.6

5.8

5.8

4.7

5.4

7.2

5.8

3.0

4.9

11.4

9.1

4.9

6.1

10.2

9.9

3.5

9.1

8.8

8.0

11.2

7.8

16.2

6.0

5.9

9.8

6.5

10.1

11.7

5.3

14.4

1.4

7.8

5.5

7.2

8.9

South

eas

t A

sia



1. Satisfaction with Travel Destinations3) Sports / Hands-on Activities

■Degree of satisfaction with sports / hands-on activities: by last travel destination, first destination (Total/Single answer)


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2016 survey total (n=1,923) 86.8

2015 survey total (n=1,974) 86.6

UK (n=46) 69.9

France (n=49) 96.5

Germany (n=35) 88.8

Spain (n=36) 88.0

Italy (n=42) 88.5



Middle East

or AfricaOther Middle East or Africa (n=15) 79.0

USA east (n=59) 93.3

USA west (n=78) 92.9


Canada or





Guam (n=184) 84.9

Saipan (n=26) 95.3





Macau (n=12) 90.3

Taiwan (n=121) 81.5

Korea (n=91) 79.6


Phuket (n=24) 96.7



Bali (n=49) 78.6



Vietnam (n=40) 81.7





Long distance/total (n=511) 87.6

Medium distance/total (n=845) 89.4

Short distance/total (n=567) 82.4





Ocean

iaEuro

peU

SA

(exc

ludi

ng

Haw

aii a

nd

Ala

ska)

Guam

or

Sai

pan

Haw

aii

Hong

Kong

or

Mac

au

71.4％

70.3

57.0

80.7

72.7

70.9

80.9

71.0

56.6

58.2

75.2

80.1

72.4

69.7

62.8

82.4

74.5

69.6

87.9

92.3

52.6

47.3

57.5

66.9

66.0

68.1

65.5

71.3

67.7

77.9

63.4

46.7

74.2

51.4

41.2

63.8

65.6

94.9

71.9

73.6

67.9

15.4

16.3

12.9

15.7

16.1

17.0

7.6

21.2

18.8

20.8

18.1

12.8

11.3

14.6

29.6

9.4

11.0

15.4

7.4

2.8

19.6

39.6

16.1

23.4

15.5

11.6

24.7

25.4

14.9

16.2

15.2

33.1

5.4

30.4

24.6

21.9

24.0

5.1

15.7

15.8

14.5

3.5

3.8

8.5

-

2.8

-

-

-

7.0

14.8

3.3

2.1

-

-

-

1.7

1.5

2.2

-

2.8

17.1

-

10.6

-

6.7

10.8

2.1

-

9.6

2.2

-

4.7

4.7

8.5

16.2

-

3.7

-

2.8

2.5

5.5

9.7

9.6

21.6

3.5

8.4

12.0

11.5

7.7

17.7

6.2

3.4

5.0

16.2

15.7

7.7

6.5

13.0

12.9

4.7

2.1

10.7

13.1

15.7

9.7

11.8

9.5

7.6

3.3

7.8

3.7

21.4

15.5

15.7

9.8

18.1

14.4

6.8

-

9.6

8.0

12.1

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)

South

eas

t A

sia



1. Satisfaction with Travel Destinations4) Meals

■Degree of satisfaction with meals: by last travel destination, first destination (Total/Single answer)


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2016 survey total (n=4,630) 81.5

2015 survey total (n=4,796) 81.0

UK (n=109) 69.0

France (n=151) 78.8


Spain (n=101) 86.9

Italy (n=180) 76.3



Turkey (n=17) 70.9


USA east (n=133) 81.8

USA west (n=165) 77.9


Canada or





Guam (n=252) 85.6

Saipan (n=29) 82.3



Beijing (n=22) 75.5



Macau (n=24) 86.0

Taiwan (n=564) 86.9

Korea (n=321) 89.7


Phuket (n=36) 71.1



Bali (n=82) 81.9















Euro

peM

iddl

e E

ast

or

Afr

ica

US

A (exc

ludi

ng

Haw

aii a

nd

Ala

ska)

Hong

Kong

or

Mac

auO

cean

iaG

uam

or

Sai

pan

Haw

aii

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)

60.5％

60.2

37.7

67.6

47.8

71.8

65.6

47.1

47.9

63.7

36.5

53.7

52.3

42.2

53.0

57.0

70.4

68.4

63.1

54.6

45.0

48.8

36.7

48.0

61.5

56.3

74.5

74.9

59.7

49.0

65.6

66.0

51.4

55.5

45.9

57.3

32.4

35.7

52.1

56.0

54.0

60.2

67.0

21.0

20.8

31.3

11.2

31.1

15.1

10.7

33.2

28.4

7.1

35.5

28.1

25.6

21.0

23.3

27.0

12.1

12.1

22.5

27.6

28.4

26.4

38.8

30.0

19.3

29.7

12.4

14.8

23.2

22.0

16.8

20.2

30.6

28.9

27.1

23.2

41.8

36.2

27.5

29.9

23.7

21.4

18.0

5.9

7.0

14.2

3.9

10.3

4.1

2.5

6.8

8.0

23.8

2.7

6.3

10.1

23.0

11.2

7.3

4.2

7.5

4.8

6.5

11.2

7.6

5.6

13.8

5.5

-

2.0

2.8

5.6

8.8

-

5.2

4.7

5.4

9.4

6.4

11.4

14.1

7.8

2.3

7.8

6.1

4.1

12.6

12.1

16.7

17.4

10.8

9.0

21.2

12.9

15.6

5.3

25.3

11.9

12.0

13.8

12.6

8.7

13.3

12.0

9.7

11.2

15.5

17.1

18.8

8.2

13.6

14.0

11.0

7.5

11.5

20.1

17.7

8.5

13.4

10.1

17.6

13.0

14.5

14.0

12.6

11.7

14.6

12.4

10.9

South

eas

t A

sia



1. Satisfaction with Travel Destinations5) Shopping

■Degree of satisfaction with shopping: by last travel destination, first destination (Total/Single answer)


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2016 survey total (n=4,031) 78.6

2015 survey total (n=4,181) 78.4

UK (n=99) 74.4

France (n=134) 82.7


Spain (n=87) 76.6

Italy (n=154) 80.8



Turkey (n=16) 81.8


USA east (n=111) 84.2

USA west (n=147) 81.8


Canada or





Guam (n=240) 78.7

Saipan (n=23) 71.6



Beijing (n=15) 46.0



Macau (n=18) 80.2

Taiwan (n=470) 78.6

Korea (n=300) 80.5


Phuket (n=33) 63.3



Bali (n=73) 73.4















Ocean

iaG

uam

or

Sai

pan

Haw

aii

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)

Euro

peM

iddl

e E

ast

or

Afr

ica

US

A (exc

ludi

ng

Haw

aii a

nd

Ala

ska)

Hong

Kong

or

Mac

au

58.4％

60.0

53.9

71.7

61.6

58.2

67.1

47.8

51.2

74.1

44.3

66.5

62.9

52.0

57.8

64.6

74.4

70.3

60.1

58.1

38.4

37.1

27.4

27.7

46.2

56.2

56.4

65.1

56.6

49.2

62.6

65.4

47.6

38.7

43.8

43.8

34.4

33.5

55.5

48.7

59.9

59.6

55.7

20.2

18.4

20.5

11.0

28.1

18.3

13.7

30.0

35.1

7.7

32.6

17.7

18.9

27.3

18.2

23.0

10.9

9.3

18.6

13.5

8.1

29.6

18.6

40.8

15.3

24.0

22.2

15.4

20.6

14.1

6.2

23.9

25.7

36.6

17.0

26.9

32.1

35.3

25.2

29.3

21.4

19.5

19.9

6.7

7.8

5.4

2.5

3.7

4.7

3.4

10.6

3.4

5.7

5.1

2.6

4.2

9.9

7.2

6.0

4.1

7.5

6.6

17.5

17.4

17.1

35.1

17.7

8.6

10.3

7.1

5.7

6.1

12.6

6.4

1.7

9.6

7.1

16.5

10.0

21.7

12.7

5.8

10.2

4.8

6.8

8.5

14.6

13.9

20.2

14.8

6.6

18.8

15.8

11.6

10.2

12.5

18.0

13.2

14.1

10.9

16.8

6.4

10.5

12.9

14.7

10.9

36.2

16.1

18.9

13.8

29.8

9.5

14.3

13.8

16.7

24.2

24.8

9.0

17.0

17.5

22.7

19.2

11.9

18.6

13.6

11.7

13.9

14.1

15.9

South

eas

t A

sia



1. Satisfaction with Travel Destinations6) Relaxation / Beauty Treatments and Massages

■Degree of satisfaction with relaxation / beauty treatments and massages: by last travel destination, first destination (Total/Single answer)


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2016 survey total (n=1,822) 84.1

2015 survey total (n=1,916) 83.2

UK (n=40) 75.0

France (n=48) 90.7

Germany (n=27) 93.4

Spain (n=27) 87.3

Italy (n=28) 83.3





Canada or





Guam (n=95) 80.7

Saipan (n=12) 100.0





Macau (n=11) 80.0

Taiwan (n=267) 86.7

Korea (n=156) 82.1


Phuket (n=24) 70.8



Bali (n=67) 81.4



Vietnam (n=71) 74.8



Oceania Australia (n=41) 76.5








Hong

Kong

or

Mac

auH

awai

iG

uam

or

Sai

pan

Euro

pe

66.5％

66.4

51.5

79.3

66.5

60.0

69.4

71.5

40.6

64.7

66.3

69.7

70.2

84.1

80.7

66.1

69.4

75.3

50.7

44.9

56.6

69.0

68.3

66.5

73.0

65.7

82.5

77.5

62.1

50.1

61.2

48.3

44.3

30.9

51.2

64.4

69.2

64.5

17.6

16.9

23.5

11.4

26.8

27.3

13.9

15.1

26.9

25.8

19.1

17.5

10.0

6.0

6.8

14.7

30.6

8.7

27.4

39.8

22.0

11.0

18.4

15.5

12.6

5.1

11.1

15.8

19.3

24.4

17.3

26.5

34.5

38.7

25.4

20.5

15.2

18.8

5.3

4.9

9.6

2.1

-

-

4.4

4.1

11.3

-

8.1

6.5

-

3.0

2.2

5.1

-

6.2

18.4

11.1

9.1

9.0

3.8

6.8

1.2

8.2

6.4

1.1

1.8

8.2

5.5

12.6

9.1

7.4

10.2

4.6

4.9

6.3

10.5

11.9

15.4

7.2

6.6

12.7

12.3

9.2

21.2

9.5

6.5

6.3

19.8

6.9

10.3

14.2

-

9.8

3.5

4.2

12.3

11.0

9.5

11.1

13.2

20.9

-

5.5

16.7

17.2

16.0

12.6

12.1

23.1

13.3

10.4

10.7

10.5

US

A

(exc

ludi

ng

Haw

aii

and

Ala

ska)

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)

South

eas

t A

sia



1. Satisfaction with Travel Destinations7) Local Hospitality

■Degree of satisfaction with local hospitality: by last travel destination, first destination (Total/Single answer)


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2016 survey total (n=4,802) 83.1

2015 survey total (n=5,000) 82.5

UK (n=116) 78.3

France (n=156) 77.1


Spain (n=107) 83.7

Italy (n=184) 71.9



Turkey (n=18) 84.0


USA east (n=138) 84.9

USA west (n=174) 86.5


Canada or





Guam (n=268) 82.4

Saipan (n=29) 89.2



Beijing (n=22) 54.8



Macau (n=25) 90.3

Taiwan (n=573) 87.5

Korea (n=337) 75.3


Phuket (n=36) 86.5



Bali (n=84) 85.2















Ocean

iaG

uam

or

Sai

pan

Haw

aii

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)

Euro

peM

iddl

e E

ast

or

Afr

ica

US

A (exc

ludi

ng

Haw

aii a

nd

Ala

ska)

Hong

Kong

or

Mac

au

55.4％

55.5

51.2

51.3

59.6

51.0

42.0

55.5

47.6

54.7

49.5

48.7

55.2

64.7

63.0

57.3

69.9

72.0

57.4

63.1

65.6

39.9

37.5

32.2

44.4

61.9

62.7

47.3

65.2

61.8

68.8

60.6

58.7

41.9

35.3

38.4

34.4

39.0

61.2

71.9

52.1

60.4

53.2

27.7

27.1

27.1

25.8

29.6

32.7

29.9

30.2

40.4

29.3

29.6

36.1

31.4

25.7

27.3

22.6

18.3

15.6

25.0

26.0

21.1

27.8

17.3

37.0

32.5

28.3

24.8

28.0

20.8

24.6

27.2

28.7

26.5

47.2

33.0

36.5

43.7

38.7

27.4

17.6

30.8

25.5

27.2

8.7

9.3

10.9

11.2

4.6

8.1

12.0

5.9

6.7

5.0

4.8

7.9

8.0

7.7

5.0

10.8

5.4

3.1

10.1

3.2

4.2

26.0

40.6

26.0

14.6

-

6.5

12.6

6.3

4.7

-

5.0

7.0

4.6

13.6

14.3

17.0

12.5

4.5

4.7

8.2

6.8

11.3

8.1

8.2

10.8

11.8

6.1

8.2

16.0

8.4

5.2

11.0

16.1

7.2

5.5

1.9

4.6

9.3

6.4

9.2

7.5

7.6

9.1

6.3

4.6

4.7

8.5

9.7

5.9

12.2

7.6

8.8

4.0

5.8

7.8

6.3

18.1

10.8

5.0

9.8

6.9

5.8

8.8

7.3

8.4

South

eas

t A

sia



1. Satisfaction with Travel Destinations8) Safety / Hygiene

■Degree of satisfaction with safety / hygiene: by last travel destination, first destination (Total/Single answer)


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2016 survey total (n=4,802) 84.3

2015 survey total (n=5,000) 82.8

UK (n=116) 80.4

France (n=156) 78.7


Spain (n=107) 79.6

Italy (n=184) 70.8



Turkey (n=18) 82.2


USA east (n=138) 88.6

USA west (n=174) 88.9


Canada or





Guam (n=268) 88.9

Saipan (n=29) 85.7



Beijing (n=22) 60.8



Macau (n=25) 95.1

Taiwan (n=573) 86.5

Korea (n=337) 78.8


Phuket (n=36) 88.6



Bali (n=84) 71.4















Euro

peM

iddl

e E

ast

or A

fric

a

US

A (e

xclu

ding

Haw

aii a

nd A

lask

a)

Hon

g K

ong

or

Mac

auO

cean

iaG

uam

or

Sai

pan

Haw

aii

Chi

na (e

xclu

ding

Hon

g

Kon

g an

d M

acau

)

56.6％

56.3

57.5

47.4

59.2

42.6

40.7

61.1

60.6

44.0

51.6

50.3

54.0

56.3

73.8

51.2

73.8

78.8

60.2

69.7

61.8

31.0

27.9

27.5

49.4

63.9

63.3

52.3

80.6

58.5

69.5

52.2

41.0

46.9

20.0

36.0

26.0

25.6

68.8

77.6

53.2

61.9

54.1

27.7

26.4

22.8

31.3

29.5

37.0

30.2

28.5

32.3

38.2

29.0

38.4

34.9

32.1

19.2

30.3

17.1

12.1

28.8

16.0

28.3

34.0

33.0

37.6

32.1

31.2

23.1

26.5

13.5

30.1

30.5

34.9

30.4

36.5

33.9

39.4

42.6

40.8

24.4

16.6

31.2

25.0

27.2

8.4

9.8

5.4

10.7

4.9

11.4

18.2

3.8

3.0

-

13.9

5.6

7.9

8.4

3.5

10.8

2.7

1.7

5.1

10.0

4.2

20.8

30.5

27.2

9.3

-

7.0

11.6

1.5

6.0

-

7.9

13.3

8.2

29.9

17.2

27.0

22.6

2.3

2.5

8.0

6.8

10.6

7.3

7.4

14.2

10.7

6.4

9.0

11.0

6.6

4.1

17.8

5.5

5.8

3.3

3.2

3.5

7.7

6.4

7.5

5.9

4.3

5.7

14.2

8.7

7.7

9.1

4.9

6.5

9.6

4.5

5.4

-

5.0

15.3

8.5

16.2

7.5

4.4

11.0

4.4

3.3

7.6

6.4

8.1

South

eas

t A

sia



1. Satisfaction with Travel Destinations9) Nightlife

■Degree of satisfaction with nightlife: by last travel destination, first destination (Total/Single answer)


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2016 survey total (n=1,639) 81.8

2015 survey total (n=2,735) 83.5

UK (n=57) 69.2

France (n=49) 88.7

Germany (n=37) 76.0

Spain (n=48) 82.2

Italy (n=47) 70.3





Canada or





Guam (n=92) 79.2

Saipan (n=10) 87.6





Macau (n=17) 79.5

Taiwan (n=164) 83.2

Korea (n=103) 76.6


Phuket (n=19) 89.7



Bali (n=30) 78.7



Vietnam (n=42) 79.3



Oceania Australia (n=41) 89.4








Euro

peH

ong

Kong

or

Mac

auH

awai

iG

uam

or

Sai

pan

61.1％

61.3

55.4

72.9

63.2

58.6

54.6

62.1

35.1

61.4

71.0

65.6

61.0

77.3

72.1

57.2

49.3

58.8

55.9

43.1

53.1

59.1

62.1

56.9

73.7

72.7

72.1

66.0

39.3

47.4

38.5

47.4

42.8

28.7

68.8

60.6

65.6

56.0

20.7

22.3

13.8

15.8

12.8

23.6

15.7

26.1

35.0

20.1

24.1

24.4

30.6

11.0

4.6

22.0

38.3

10.0

17.5

32.9

27.2

20.4

21.0

19.6

12.7

17.0

5.9

23.2

39.3

42.2

31.1

31.9

37.7

32.6

20.6

20.4

19.4

22.6

6.4

6.6

9.0

-

4.8

4.6

13.3

4.8

11.2

3.9

4.9

4.4

-

4.9

6.8

5.2

-

12.7

5.1

19.4

11.7

-

3.9

12.0

3.3

-

7.9

4.0

-

6.6

7.7

8.5

13.0

22.0

2.3

6.4

5.2

7.8

11.8

9.9

21.8

11.3

19.2

13.2

16.4

6.9

18.7

14.5

-

5.6

8.4

6.8

16.5

15.6

12.4

18.5

21.5

4.6

8.1

20.5

12.9

11.4

10.3

10.3

14.1

6.8

21.3

3.9

22.7

12.2

6.6

16.7

8.3

12.6

9.8

13.5

US

A

(exc

ludi

ng

Haw

aii

and

Ala

ska)

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)

South

eas

t A

sia

75

Part 3

Future Overseas Travel

Part 3 Future Overseas Travel


Rate of

intention

Rate of

intention

Rate of

intention

2016

survey

total

(†1)

2015

survey

total

(†2)

2014

survey

total

(†3)

(n=4,533) (n=4,722) (n=4,739)

UK 26.2 28.3 28.0

France 29.4 33.2 33.0

Germany 26.1 30.1 27.3

Spain 29.6 32.4 31.7

Italy 32.7 37.3 34.9

Other countries in western Europe 22.7 25.2 20.2

Other places in Europe 35.1 36.7 28.1

Turkey 10.1 15.6 17.3

Other Middle East or Africa 23.8 24.3 28.1

USA east 27.1 26.8 26.3

USA west 21.4 23.7 21.1

USA south 9.9 9.4 9.2

Canada 18.0 19.5 20.4

Alaska 4.8 4.5 4.4

Central/South America or Caribbean 18.1 18.8 17.5

Hawaii (Oahu) 26.2 28.6 29.5

Hawaii (other than Oahu) 23.2 25.5 24.3

Guam 13.4 13.7 13.5

Saipan 5.9 6.5 6.5

South Pacific islands or other islands 25.9 27.3 26.3

Shanghai 2.6 2.3 2.8

Beijing 1.4 1.5 1.3

Other China (exc. Hong Kong / Macau) 2.5 2.4 1.8

Hong Kong 7.5 7.6 7.7

Macau 3.3 3.8 3.1

Taiwan 17.1 17.3 16.8

Korea 7.9 8.2 10.1

Singapore 11.0 10.6 12.1

Phuket 4.6 4.1 5.2

Thai beaches (other than Phuket) 3.1 3.2 3.9

Bangkok or other Thai cities 6.8 8.2 7.7

Bali 9.9 9.5 9.7

Indonesian beaches (other than Bali) 1.3 1.3 0.9

Indonesian cities 2.5 2.2 2.2

Malaysia 4.7 4.6 5.4

Philippines 6.7 6.3 5.4

Vietnam 10.2 10.6 9.7

Cambodia 4.8 5.0 5.4

Other places in Asia 8.6 7.5 9.9

Australia 26.9 26.9 27.1

New Zealand or other Oceania 21.4 20.6 21.9

Europe/total 72.9 76.7 72.8

Middle East or Africa/total 28.4 33.1 36.9

USA (exc. Hawaii and Alaska)/total 36.3 37.6 36.1

Canada or Alaska/total 20.6 21.8 22.7

Hawaii/total 36.5 40.0 40.2

Guam or Saipan/total 14.8 15.4 15.3

China (ex. Hong Kong / Macau)/total 5.1 4.9 4.6

Hong Kong or Macau/total 8.6 9.3 9.0

Southeast Asia/total 38.8 38.6 39.0

Oceania/total 37.0 35.7 37.5

Long distance/total 87.7 88.6 87.6

Medium distance/total 76.6 78.2 78.8

Short distance/total 40.5 40.5 41.2

（†1）In the 2016 survey, tabulations were done excluding "don't know" (201 samples) from the 4,733 samples of respondents indicating intention to travel in the future.



Rate of intention

Europe

Hawaii

Middle East

or Africa

USA (excluding

Hawaii and

Alaska)

Canada or

Alaska

Oceania

Guam or

Saipan

China (excluding

Hong Kong and

Macau)

Hong Kong or

Macau

Southeast Asia

0 10 20 30 40

Rate of intention

2016 survey total

Rate of intention

2015 survey total

Rate of intention

2014 survey total

（％）

76

1. Countries / Areas Wish to Travel to Overseas in Future (1)

■Countries/Areas wish to travel to overseas in future

(Those who intend on traveling in the future: Excluding "don't know"/Up to ten multiple answers)



（％）

Sample


Other

countries

in western

Europe

Other

places in

Europe

Middle

East

or Africa

Turkey

Other

Middle

East or

Africa

USA

(excluding

Hawaii and

Alaska)


south

Canada or

AlaskaCanada Alaska

2016 survey total 4,533 72.9 26.2 29.4 26.1 29.6 32.7 22.7 35.1 28.4 10.1 23.8 36.3 27.1 21.4 9.9 20.6 18.0 4.8

2015 survey total 4,722 76.7 28.3 33.2 30.1 32.4 37.3 25.2 36.7 33.1 15.6 24.3 37.6 26.8 23.7 9.4 21.8 19.5 4.5

2014 survey total 4,739 72.8 28.0 33.0 27.3 31.7 34.9 20.2 28.1 36.9 17.3 28.1 36.1 26.3 21.1 9.2 22.7 20.4 4.4

Male 2,295 67 .5 24.4 26.4 25.5 27.1 30.2 20.4 30.8 26.0 9.5 21.8 36.0 26.1 21.7 10.3 18.1 15.5 4.8

Female 2,238 78.5 28.1 32.4 26.7 32.2 35.3 25.2 39.5 30.9 10.7 25.8 36.6 28.0 21.1 9.4 23.2 20.5 4.8

Male 18-29 yrs 308 75.8 37.3 34.3 39.2 31.5 33.1 18.9 27 .3 20 .5 7.0 15 .9 44.3 36.1 29.4 11.2 18.6 17.0 4.0

Male 30-39 yrs 425 66 .0 26.4 30.2 26.4 26.7 27.8 18.2 28 .1 25.5 8.7 21.5 35.8 26.9 23.3 12.5 13 .0 11 .1 3.3

Male 40-49 yrs 555 62 .3 19 .7 23 .2 20 .4 23 .6 29.7 16 .7 27 .3 29.3 10.4 25.6 34.5 24.3 21.7 10.4 15.8 12 .6 5.0

Male 50-59 yrs 434 64 .4 22.3 25.1 26.2 26.9 31.0 20.7 30.8 25.1 9.0 21.4 35.4 26.2 21.4 11.8 20.3 17.9 5.2

Male 60 yrs or older 572 71.4 21.9 23 .4 21.7 28.8 30.1 26.0 38.3 26.9 11.0 21.7 33.5 21 .9 16.8 7.1 21.9 19.1 5.8

Female 18-29 yrs 545 81.2 36.1 43.1 32.7 34.9 39.5 23.6 35.8 30.8 14.7 23.1 44.0 36.3 25.9 7.7 20.2 19.7 2.3

Female 30-39 yrs 461 78.0 23.8 33.0 27.9 36.9 36.1 22.7 38.7 34.3 10.8 30.9 39.3 30.9 22.7 11.9 23.1 20.3 4.3

Female 40-49 yrs 423 75.5 26.7 31.7 23.6 28.2 36.2 22.6 37.5 34.1 9.8 28.9 36.4 24.7 24.1 11.3 19.1 15.4 5.0

Female 50-59 yrs 362 79.7 26.8 29.8 28.3 37.0 37.0 31.0 39.4 29.1 11.6 22.9 34.7 27.2 19.9 11.3 26.1 23.8 5.8

Female 60 yrs or older 447 77.9 25.2 21 .4 19 .9 23 .6 27 .1 27.4 46.6 26.0 5.7 23.4 26 .5 18 .8 12 .0 5.5 28.4 23.9 7.4

Kanto 2,847 73.6 26.8 29.8 25.3 30.0 33.3 23.5 35.9 29.4 10.3 24.7 37.1 27.8 21.3 9.8 19.1 16.1 4.8

Kansai 1,072 71.4 26.3 29.2 28.1 29.5 30.9 22.9 34.7 27.1 9.2 22.8 34.8 26.3 21.6 9.6 24.2 22.3 4.1

Tokai 614 72.3 23.2 27.7 26.0 28.1 32.9 18.7 32.2 26.3 10.6 21.2 34.9 25.1 21.8 10.8 21.5 19.2 5.8

社会人（子供７歳以上） Worker (child 7 yrs and over) 1,715 71.1 24.0 25.9 22.8 27.2 30.5 24.2 35.4 24.7 9.0 20.4 34.0 24.0 19.2 9.0 23.8 20.7 6.0

社会人（子供２～６歳） Worker (child 2-6 yrs) 214 65 .8 17 .8 28.3 20 .4 22 .0 29.4 12 .7 24 .8 23.8 6.3 21.9 38.2 26.5 25.3 14.5 15.9 12 .9 4.5

社会人（子供１歳以下） Worker (child 1 yr and under) 105 57 .0 19 .7 24.8 25.3 21 .2 26 .2 19.0 22 .8 17 .2 2 .1 15 .1 29 .0 24.3 17.0 9.0 16.8 16.8 4.5

社会人（既婚・子供無） Worker (married, no children) 931 73.2 22.9 27.0 24.9 30.9 33.6 22.3 35.6 28.8 9.3 25.0 36.8 27.4 21.8 10.7 20.3 17.1 4.9

Worker (unmarried) 1,385 75.5 31.0 33.3 30.2 32.6 34.9 22.4 37.0 34.8 12.9 28.9 37.7 29.4 22.6 10.2 17.8 15.9 3.4

Unmarried male 720 70.5 31.1 30.8 30.7 29.3 31.9 19.1 31.6 29.2 10.3 24.5 39.4 30.2 24.8 11.5 17.3 16.0 3.3

Unmarried female 20s/30s 605 83.1 36.4 42.3 34.7 38.3 40.2 26.1 39.1 36.8 16.4 29.0 43.3 35.1 24.5 8.2 19.7 18.0 2.9

Unmarried female 40s and over 240 79.4 23.9 28.6 23.5 31.3 34.0 27.4 46.5 39.5 11.4 33.6 25 .3 19 .4 16.5 7.8 16.7 12 .7 6.0

Student 183 86.2 40.3 47.8 38.0 37.3 39.3 28.2 34.4 25.2 12.1 17 .8 46.8 39.0 29.8 6.2 20.8 19.1 5.0

Light 693 68.7 30.9 33.0 30.9 25.8 31.6 16 .6 23 .2 15 .7 5.2 12 .7 33.2 24.8 20.5 7.3 14 .9 13.5 3.0

Middle 1,168 73.8 28.2 34.2 30.2 31.6 35.9 20.4 31.8 25.1 10.1 19.2 38.5 29.8 23.6 8.5 21.0 18.9 4.3

Heavy 2,672 73.7 24.1 26.3 23.0 29.7 31.6 25.3 39.6 33.2 11.3 28.7 36.1 26.5 20.7 11.1 21.9 18.8 5.5

Sample

Central/

South

America

or

Caribbean

HawaiiHawaii

(Oahu)

Hawaii

(other

than

Oahu)

Guam or

SaipanGuam Saipan

South

Pacific

islands or

other

islands

China

(excluding

Hong

Kong and

Macau)

Shanghai Beijing

Other

China

(exc. Hong

Kong /

Macau)

Hong

Kong or

Macau

Hong


2016 survey total 4,533 18.1 36.5 26.2 23.2 14.8 13.4 5.9 25.9 5.1 2.6 1.4 2.5 8.6 7.5 3.3 17.1 7.9

2015 survey total 4,722 18.8 40.0 28.6 25.5 15.4 13.7 6.5 27.3 4.9 2.3 1.5 2.4 9.3 7.6 3.8 17.3 8.2

2014 survey total 4,739 17.5 40.2 29.5 24.3 15.3 13.5 6.5 26.3 4.6 2.8 1.3 1.8 9.0 7.7 3.1 16.8 10.1

Male 2,295 18.4 32.7 24.9 20.2 14.6 13.0 6.7 22.9 6.5 3.1 1.6 3.6 8.5 7.5 3.5 16.9 5.2

Female 2,238 17.8 40.4 27.6 26.3 15.0 13.9 5.1 28.9 3.7 2.1 1.2 1.4 8.8 7.4 3.2 17.3 10.6

Male 18-29 yrs 308 10 .5 36.4 27.3 21.4 21.4 19.8 8.2 18 .6 5.6 4.0 1.4 1.2 8.2 7.0 3.3 15.2 6.5

Male 30-39 yrs 425 14.9 32.5 26.2 20.8 18.6 17.2 8.5 21.2 7.1 5.0 2.4 2.6 8.0 6.8 3.5 14.9 4.2

Male 40-49 yrs 555 20.4 33.4 27.8 19.5 16.9 15.6 7.8 28.4 4.8 2.6 0.9 3.0 12.4 10.8 5.9 21.3 6.5

Male 50-59 yrs 434 20.1 33.8 26.4 22.1 11.1 8.7 6.1 24.2 6.3 2.6 2.2 3.5 10.9 9.4 3.5 17.9 5.2

Male 60 yrs or older 572 22.2 29 .5 18 .7 18.5 8 .2 6 .9 3.9 20 .0 8.4 1.9 1.5 6.2 3.7 3.7 1.3 14.2 4.1

Female 18-29 yrs 545 13.8 50.6 33.8 29.7 25.6 23.8 9.1 36.5 4.3 2.9 2.0 0.5 10.2 8.8 3.6 18.1 11.6

Female 30-39 yrs 461 19.7 43.2 31.7 28.5 18.6 17.5 5.8 32.0 3.7 2.4 1.5 1.5 10.6 9.5 3.2 17.3 12.3

Female 40-49 yrs 423 18.9 40.1 29.3 26.9 13.2 12.4 3.7 28.4 3.3 2.0 0.7 1.1 10.4 8.5 4.6 18.7 13.0

Female 50-59 yrs 362 19.9 37.0 25.1 24.6 9 .6 8.8 2.8 23.1 3.0 1.7 0.4 1.5 7.7 6.4 1.9 18.4 9.0

Female 60 yrs or older 447 17.9 28 .0 16 .2 20.6 4 .6 3 .5 2.6 21.7 3.9 1.3 0.9 2.4 4.4 3.5 2.2 14.2 6.8

Kanto 2,847 19.2 37.3 26.9 23.9 14.0 12.7 5.9 26.4 5.6 3.0 1.8 2.6 8.2 7.1 3.1 16.3 7.0

Kansai 1,072 15.8 34.7 24.4 22.2 16.7 15.4 5.7 25.1 3.8 1.8 0.7 1.9 9.0 7.6 3.8 17.6 9.4

Tokai 614 17.1 36.2 26.1 21.9 15.0 13.4 6.3 24.5 5.1 2.0 0.9 2.9 10.1 8.8 3.6 19.8 9.7

社会人（子供７歳以上） Worker (child 7 yrs and over) 1,715 17.3 34.6 24.9 22.0 10.8 9.2 4.6 22.7 5.1 2.0 1.2 3.2 6.5 5.6 2.3 15.7 6.5

社会人（子供２～６歳） Worker (child 2-6 yrs) 214 16.2 46.3 37.2 29.8 20.2 19.7 9.2 30.5 3.1 2.7 0.4 0.8 8.1 6.9 3.8 10 .6 5.5

社会人（子供１歳以下） Worker (child 1 yr and under) 105 12 .5 46.5 38.0 28.7 26.8 25.6 14.3 30.1 3.0 1.1 1.9 1.1 8.0 4.2 3.8 16.0 8.7

社会人（既婚・子供無） Worker (married, no children) 931 20.1 39.1 28.4 24.7 16.0 14.2 5.8 30.0 4.3 2.0 1.3 2.0 8.6 7.5 3.1 18.7 7.0


Unmarried male 720 18.8 28 .1 20 .9 17 .2 16.7 15.3 7.7 20 .8 7.8 4.3 1.9 4.1 11.8 10.5 5.6 19.4 7.1


Unmarried female 40s and over 240 24.6 28 .8 18 .1 21.0 7 .1 6 .3 2.3 24.4 3.5 2.3 1.2 0.8 8.7 6.8 4.5 17.7 10.3

Student 183 9 .8 34.6 18 .8 23.4 18.8 17.8 7.9 20 .2 8.3 6.2 3.8 1.1 15.1 13.4 3.6 21.8 17.8

Light 693 6 .2 42.2 28.2 26.0 27.5 25.7 9.9 22.9 4.7 3.1 1.3 1.1 8.1 7.4 3.0 18.5 9.0

Middle 1,168 12 .1 41.8 30.5 24.9 18.3 16.3 7.7 26.7 5.9 3.5 2.3 2.3 9.1 8.1 3.4 18.8 8.7

Heavy 2,672 23.8 32.7 23.9 21.8 10.0 9.0 4.0 26.3 4.9 2.0 1.0 2.9 8.6 7.2 3.4 15.9 7.3

Sample

Southeast


Thai

beaches

(other

than

Phuket)

Bangkok

or other

Thai cities

Bali

Indonesian

beaches

(other

than Bali)

Indonesian


Other

places in

Asia

Oceania Australia

New

Zealand or

other

Oceania

2016 survey total 4,533 38.8 11.0 4.6 3.1 6.8 9.9 1.3 2.5 4.7 6.7 10.2 4.8 8.6 37.0 26.9 21.4

2015 survey total 4,722 38.6 10.6 4.1 3.2 8.2 9.5 1.3 2.2 4.6 6.3 10.6 5.0 7.5 35.7 26.9 20.6

2014 survey total 4,739 39.0 12.1 5.2 3.9 7.7 9.7 0.9 2.2 5.4 5.4 9.7 5.4 9.9 37.5 27.1 21.9

Male 2,295 36.8 9.8 4.3 3.7 7.5 7.7 1.4 3.0 5.0 7.2 9.8 4.8 8.6 37.1 27.4 22.6

Female 2,238 40.8 12.3 4.9 2.4 6.0 12.1 1.1 1.9 4.4 6.2 10.5 4.9 8.7 37.0 26.4 20.2

Male 18-29 yrs 308 28 .0 10.5 2.8 2.3 4.0 4 .4 0.5 1.4 3.3 6.8 5.4 3.3 3 .0 34.0 27.5 17.7

Male 30-39 yrs 425 31 .4 9.4 3.8 3.3 4.5 6.1 2.4 1.7 2.6 7.8 7.3 4.7 8.5 27 .6 21 .7 16.7

Male 40-49 yrs 555 41.2 12.1 6.1 4.8 10.8 10.2 1.1 3.3 6.3 7.6 8.9 3.7 10.6 33.2 26.5 17.8

Male 50-59 yrs 434 37.6 9.0 5.2 3.7 8.3 9.4 1.5 3.3 7.6 7.6 10.9 4.1 6.3 38.2 27.7 23.1

Male 60 yrs or older 572 40.6 8.2 3.2 3.9 8.0 6.9 1.5 4.3 4.5 6.5 14.2 7.3 11.4 48.6 32.3 34.0

Female 18-29 yrs 545 45.8 13.6 7.3 2.3 6.1 18.8 0.9 2.0 3.4 10.4 6.8 4.5 6.1 37.2 28.8 16.8

Female 30-39 yrs 461 41.5 13.6 5.0 3.0 7.3 11.9 0.4 2.4 3.5 6.3 10.4 6.5 9.1 33.9 25.3 16 .0

Female 40-49 yrs 423 39.5 11.7 4.8 3.9 6.1 9.3 2.4 1.5 3.9 5.4 11.3 4.6 9.5 33.0 23.0 18.4

Female 50-59 yrs 362 41.1 11.8 4.7 1.5 6.9 10.9 1.3 1.9 7.3 4.5 12.4 5.4 7.1 37.7 25.5 22.3

Female 60 yrs or older 447 35.0 10.3 2.2 1.3 3.7 7.9 0.7 1.8 4.6 3.1 12.9 3.5 11.8 43.3 28.4 28.4

Kanto 2,847 37.9 10.3 4.6 3.3 6.8 9.1 1.4 2.3 4.5 6.6 10.1 4.6 9.0 36.8 26.3 21.4

Kansai 1,072 40.1 12.0 4.4 2.0 6.1 11.8 1.0 3.0 5.1 6.1 10.3 5.7 7.5 37.6 28.2 21.7

Tokai 614 40.4 12.7 5.3 4.0 7.7 10.1 1.3 2.4 4.9 8.5 10.0 4.6 8.8 37.3 27.2 20.9

社会人（子供７歳以上） Worker (child 7 yrs and over) 1,715 38.0 10.6 4.1 2.9 6.2 8.1 1.1 2.7 5.0 5.8 11.8 5.0 8.3 42.5 30.5 26.2

社会人（子供２～６歳） Worker (child 2-6 yrs) 214 35.2 14.0 7.2 4.5 5.3 9.5 1.6 1.5 6.5 9.3 4 .7 1.9 4.3 30 .3 24.7 16.5

社会人（子供１歳以下） Worker (child 1 yr and under) 105 33 .6 6.2 2.1 2.6 2.3 12.1 1.0 1.1 0.9 7.9 7.5 3.7 5.2 40.3 31.6 20.2

社会人（既婚・子供無） Worker (married, no children) 931 40.6 10.1 5.2 4.1 7.3 12.3 1.6 2.3 4.7 7.1 10.2 5.0 7.2 34.6 24.7 19.6

Worker (unmarried) 1,385 39.7 11.9 4.8 2.8 8.0 10.4 1.3 2.6 4.2 7.6 9.1 4.8 11.2 32.9 23.7 18.0

Unmarried male 720 36.8 11.8 3.8 3.4 9.1 7.3 1.5 3.2 5.3 8.3 8.2 3.8 11.1 32.1 24.1 18.7

Unmarried female 20s/30s 605 42.3 13.1 6.1 1.9 6.7 14.9 0.4 1.6 3.3 7.7 8.9 6.0 9.0 34.8 26.1 15 .5

Unmarried female 40s and over 240 39.7 10.4 3.5 1.8 5.1 7.4 2.7 2.6 3.8 2.3 13.3 6.4 13.5 32.7 20 .0 21.9

Student 183 36.7 13.2 3.1 1.2 4.9 9.0 0.7 2.1 5.2 3.3 10.2 6.7 6.6 35.3 28.5 17.7

Light 693 33 .4 12.1 4.4 2.2 3.0 12.3 0.4 1.3 2.9 8.7 5.6 3.1 2 .6 33.2 27.5 16.5

Middle 1,168 39.5 12.4 6.0 2.5 6.5 9.4 1.0 1.6 3.7 7.3 10.5 5.1 5.4 38.8 30.5 20.7

Heavy 2,672 39.8 10.2 4.1 3.6 7.9 9.5 1.6 3.1 5.6 5.9 11.2 5.2 11.6 37.3 25.1 23.0






Life

stage

Number of

trips taken

Area of

residence

Life

stage

Number of

trips taken

Life

stage

Number of

trips taken

Sex & age

Area of

residence


Sex

Sex & age

Area of

residence


Sex

Sex & age


Sex

77

1. Countries / Areas Wish to Travel to Overseas in Future (2)

■Countries / Areas wish to travel to overseas in future: by demographic

(Those who intend on traveling in the future: Excluding "don't know"/Up to ten multiple answers)



CountriesAreas wish

to go to(went to) in

2016

Countries/Areas wish

to go to infuture

(n=4,802) (n=4,802)

UK 5.4 24.7France 6.1 27.7Germany 5.1 24.6Spain 5.7 28.0Italy 6.5 30.9Other countries in western Europe 6.7 21.5Greece 1.6 11.3Countries of eastern Europe 4.3 16.8Countries of northern Europe 4.3 20.5Turkey 1.1 9.5Morocco 1.0 6.3Egypt 0.8 9.1Dubai 1.4 8.0Kenya 0.4 2.2Other Middle East or Africa 1.4 4.4USA east 5.8 25.6USA west 5.9 20.2USA south 2.0 9.3Canada 3.7 17.0Alaska 0.6 4.5Mexico 1.7 7.0Jamaica 0.4 2.0Caribbean islands 1.4 7.5Other Central/South America 1.5 7.0Hawaii (Oahu) 11.8 24.8Hawaii (other than Oahu) 6.7 21.9Guam 6.2 12.7Saipan 2.4 5.6Palau 1.7 5.4Other Micronesia 0.7 1.7Fiji 1.2 4.2Tahiti 1.7 8.6New Caledonia 1.6 8.4Maldives 2.2 12.0Other Islands in South Pacific of Indian Ocean 1.1 3.4Shanghai 1.7 2.4Beijing 0.7 1.3Hong Kong 5.0 7.1Macau 2.1 3.1Other China 1.9 2.3Taiwan 12.7 16.1Korea 7.2 7.5Singapore 5.5 10.4Phuket 2.0 4.4Thai beaches (other than Phuket) 2.2 2.9Thailand (other than beach resorts) 5.2 6.4Bali 3.8 9.3Indonesian beaches (other than Bali) 0.6 1.2Indonesia (other than beach resorts) 1.0 2.3Malaysian beaches 1.3 2.4Malaysia (other than beach resorts) 2.0 2.8Cebu Island 2.1 4.7Philippine beaches (other than Cebu Island) 1.0 1.1Philippines (other than beach resorts) 1.1 1.2Vietnam cities (Ho Chi Minh, Hanoi) 3.8 6.7Vietnam beaches 1.5 3.3Vietnam (other than cities and beach resorts) 1.1 2.1Cambodia 2.1 4.6India 1.1 4.0Sri Lanka 1.2 3.0Other Asia 1.7 2.5Australia 7.7 25.4New Zealand 4.5 19.2Other Oceania 0.7 2.0

Long distance/total 37.1 82.7Medium distance/total 40.1 72.3Short distance/total 28.4 38.2Destination undecided 5.9 *No desire to travel overseas this year 18.5 *Don't know * 4.2I have no desire to travel overseas in the future * 1.4† "*"：No applicable data

Europe

Middle East

or Africa

Central/SouthAmerica or

Caribbean

Hawaii

USA (excludingHawaii and

Alaska)Canada or

Alaska

Oceania

Guam orSaipan

South Pacific

islands or otherislands

China

Other places inAsia

Southeast Asia

0 20 40 60 80 100

Countries/Areas wish to go to (went to) in 2016

Countries/Areas wish to go to in future（％）

78

2. Countries / Areas Wish to Travel to Overseas in 2016

■Countries/Areas wish to go to (went to) in 2016 / Countries/Areas wish to go to in future

・Countries/Areas wish to go to (went to) in 2016 (Total/Multiple answers)

・Countries/Areas wish to go to in future (Total/Up to ten multiple answers)

79

Part 4

First Ever Overseas Trip

Part 4 First Ever Overseas Trip


（％）

First

Destination

in 2015

(n=4,802)

UK 7.4France 9.2Germany 4.8Spain 1.9Italy 6.5Other countries in western Europe 3.2Greece 1.3Countries of eastern Europe 0.6Countries of northern Europe 0.5Turkey 0.3Morocco ―Egypt 0.5Dubai ―Kenya ―Other Middle East or Africa 0.2USA east 4.4USA west 9.3USA south 1.1Canada 2.3Alaska 0.1Mexico 0.2Jamaica ―Caribbean islands 0.1Other Central/South America 0.2Hawaii (Oahu) 13.9Hawaii (other than Oahu) 4.9Guam 8.8Saipan 2.0Palau 0.1Other Micronesia 0.1Fiji 0.2Tahiti 0.2New Caledonia 0.4Maldives 0.3Other Islands in South Pacific of Indian Ocean 0.1Shanghai 1.8Beijing 1.6Other China 1.3Hong Kong 4.8Macau 0.9Taiwan 3.8Korea 7.8Singapore 3.6Phuket 0.5Thai beaches (other than Phuket) 0.4Thailand (other than beach resorts) 2.5Bali 1.3Indonesian beaches (other than Bali) 0.1Indonesia (other than beach resorts) 0.3Malaysian beaches 0.4Malaysia (other than beach resorts) 0.7Cebu Island 0.4Philippine beaches (other than Cebu Island) 0.3Philippines (other than beach resorts) 0.5Vietnam cities (Ho Chi Minh, Hanoi) 0.3Vietnam beaches ―Vietnam (other than cities and beach resorts) 0.1Cambodia 0.2India 0.3Sri Lanka ―Other Asia 0.2Australia 5.7New Zealand 1.3Other Oceania ―

Europe/total 18.7Middle East or Africa/total 1.0USA (exc. Hawaii and Alaska)/total 13.5Canada or Alaska/total 2.4Central/South America or Caribbean/total 0.5Hawaii/total 16.5Guam or Saipan/total 10.5South Pacific islands or other islands/total 1.2China (ex. Hong Kong / Macau)/total 4.0Hong Kong or Macau/total 4.9Southeast Asia/total 10.1Other places in Asia/total 0.5Oceania/total 6.9Long distance/total 34.7Medium distance/total 33.6Short distance/total 31.1

Other places in

Asia

Oceania

Southeast Asia

Hawaii

Guam or

Saipan

South Pacificislands or other

islands

China (excluding

Hong Kong andMacau)

Hong Kong or

Macau

Central/South

America orCaribbean

Europe

Middle Eastor Africa

USA (excluding

Hawaii andAlaska)

Canada or

Alaska

0 5 10 15 20 25 30 35

First Destination in 2015

80

1. Destination of first ever trip abroad (1)

■Destination of first ever trip abroad (Total/Multiple answers)



1. Destination of first ever trip abroad (2)

■Destination of first ever trip abroad: by demographic (Total/Multiple answers)

（％）

Sample


Other

countries in

western

Europe

Other places

in Europe

Middle East

or AfricaTurkey

Other Middle

East or Africa

USA

(excluding

Hawaii and

Alaska)


AlaskaCanada Alaska

2016 survey total 4,802 18.7 7.4 9.2 4.8 1.9 6.5 3.2 2.3 1.0 0.3 0.8 13.5 4.4 9.3 1.1 2.4 2.3 0.1

Male 2,457 18.0 7.2 8.6 5.2 2.0 6.2 2.9 2.0 1.1 0.2 0.9 14.1 5.3 9.3 1.3 2.4 2.2 0.2

Female 2,345 19.4 7.6 9.8 4.5 1.9 6.8 3.5 2.7 0.9 0.4 0.6 12.8 3.3 9.3 0.9 2.4 2.4 ―

Male 18-29 yrs 341 15.6 4.8 4.8 2.3 1.7 4.4 2.3 0.8 0.4 ― 0.4 10.3 4.8 5.3 1.5 2.7 2.5 0.2

Male 30-39 yrs 475 16.5 6.1 5.5 3.2 0.8 4.4 1.5 1.7 1.1 0.2 0.8 11.4 4.6 6.5 0.6 1.7 1.7 ―

Male 40-49 yrs 580 13 .5 5.8 6.8 3.5 0.4 4.6 1.9 1.2 1.0 0.2 0.8 17.0 6.2 11.0 2.5 1.9 1.9 ―

Male 50-59 yrs 465 21.4 7.3 11.6 8.0 3.7 6.7 3.1 4.1 1.8 0.2 1.6 15.3 3.9 11.8 1.2 2.4 2.0 0.4

Male 60 yrs or older 596 22.5 10.5 12.4 7.9 3.3 9.9 5.4 1.9 1.0 0.2 0.8 14.7 6.4 10.1 0.6 3.1 2.9 0.2

Female 18-29 yrs 573 14.9 4.7 6.0 1.7 0.9 3.2 2.4 1.1 0.6 0.4 0.2 9.9 3.9 5.2 1.5 2.2 2.2 ―

Female 30-39 yrs 483 18.1 5.4 6.6 2.9 1.0 6.6 1.4 1.0 1.2 0.6 0.6 10.1 3.1 6.8 0.6 3.5 3.5 ―

Female 40-49 yrs 434 19.0 9.3 9.3 5.1 1.9 6.3 3.2 1.7 1.1 0.2 0.8 18.2 2.7 14.8 1.1 1.3 1.3 ―

Female 50-59 yrs 378 19.5 8.0 13.8 6.0 3.3 8.4 4.5 5.1 0.4 ― 0.4 16.6 3.1 14.0 0.8 3.1 3.1 ―

Female 60 yrs or older 478 26.4 11.5 14.8 7.6 2.9 10.2 6.6 5.3 1.2 0.4 0.8 11.3 3.7 8.2 0.6 2.3 2.3 ―

Kanto 3,021 19.0 8.0 9.0 5.0 2.0 6.5 3.1 2.4 1.2 0.3 0.8 14.3 4.9 9.5 1.2 2.4 2.3 0.1

Kansai 1,150 18.2 6.6 9.8 4.3 1.9 6.3 3.6 2.6 0.8 0.1 0.7 12.1 3.8 8.5 1.2 2.8 2.7 0.1

Tokai 631 18.2 5.8 8.7 5.1 1.7 6.6 3.1 1.6 0.7 0.2 0.5 12.3 3.0 9.7 0.8 1.8 1.8 ―

Worker (child 7 yrs and over) 1,813 21.0 8.7 11.7 6.4 2.7 7.8 4.5 3.1 0.9 0.2 0.8 15.3 5.0 11.1 0.9 2.4 2.2 0.2

Worker (child 2-6 yrs) 231 17.9 6.3 7.7 4.8 1.6 5.7 1.7 1.3 1.7 0.5 1.1 10.9 5.2 6.0 2.1 2.6 2.6 ―

Worker (child 1 yr and under) 116 12 .2 4.3 ― 2.6 0.9 3.4 ― 1.0 1.0 ― 1.0 10.3 3.8 7.6 1.0 2.9 2.9 ―

Worker (married, no children) 995 18.6 6.7 9.1 4.2 2.0 7.4 2.8 2.8 1.4 0.4 1.0 12.8 3.6 9.2 0.8 2.6 2.6 0.1

Worker (unmarried) 1,455 17.7 7.0 7.7 3.9 1.4 5.1 2.7 1.6 0.9 0.3 0.6 12.3 4.0 8.0 1.3 2.0 2.0 ―

Unmarried male 772 15.0 6.1 6.4 3.9 1.3 4.7 2.6 0.8 0.4 ― 0.4 13.7 5.1 8.4 1.6 1.7 1.7 ―

Unmarried female 20s/30s 624 15.9 5.4 6.2 1.7 0.8 4.2 1.9 1.1 0.9 0.6 0.4 10.3 3.6 5.5 1.7 3.2 3.2 ―

Unmarried female 40s and over 247 25.3 12.2 12.7 8.0 1.8 6.9 4.1 4.4 1.8 0.4 1.4 14.2 1.7 12.5 0.3 1.1 1.1 ―

Student 192 10 .8 5.1 3 .4 2.1 ― 2.7 1.1 0.4 ― ― ― 14.0 4.5 7.9 2.7 3.3 3.3 ―

Light 786 17.4 4.8 7.6 2.7 1.1 4.5 2.5 1.6 1.0 0.6 0.5 9.3 4.2 5.0 1.0 3.0 3.0 ―

Middle 1,235 18.3 6.7 7.7 4.1 1.8 5.2 2.5 1.5 1.0 0.3 0.8 12.3 3.3 9.0 0.9 2.2 2.2 ―

Heavy 2,782 19.3 8.4 10.2 5.7 2.2 7.6 3.8 2.9 1.0 0.2 0.8 15.2 4.9 10.7 1.2 2.3 2.2 0.1

Sample

Central/

South

America

or

Caribbean

Hawaii Hawaii (Oahu)Hawaii (other

than Oahu)

Guam or

SaipanGuam Saipan

South Pacific

islands or

other islands

China

(excluding

Hong Kong

and Macau)

Shanghai Beijing

Other China

(exc. Hong

Kong /

Macau)

Hong Kong or

MacauHong Kong Macau Taiwan Korea

2016 survey total 4,802 0.5 16.5 13.9 4.9 10.5 8.8 2.0 1.2 4.0 1.8 1.6 1.3 4.9 4.8 0.9 3.8 7.8

Male 2,457 0.7 16.1 13.8 4.7 9.8 8.1 2.1 1.3 4.6 2.1 1.8 1.3 4.9 4.8 1.1 4.7 6.8

Female 2,345 0.2 16.9 14.0 5.1 11.1 9.6 1.9 1.0 3.2 1.4 1.4 1.3 4.9 4.9 0.6 2.9 8.9

Male 18-29 yrs 341 0.2 12.2 9.9 3.4 14.5 12.4 2.3 0.8 5.1 2.3 2.1 1.1 1.5 1.5 0.4 4.6 8.2

Male 30-39 yrs 475 0.8 15.2 10.8 5.7 7.6 6.5 1.3 1.3 5.1 2.3 3.4 1.1 4.2 4.0 0.4 8.2 7.4

Male 40-49 yrs 580 0.8 14.1 11.6 4.1 10.8 8.5 2.7 1.9 6.4 3.7 1.0 1.9 4.1 3.9 1.2 3.3 7.7

Male 50-59 yrs 465 0.8 18.2 16.9 3.1 11.0 8.8 2.4 2.0 3.9 1.4 1.4 1.4 4.5 4.5 0.8 2.2 5.5

Male 60 yrs or older 596 0.8 19.2 18.0 6.4 7.0 6.0 1.9 0.6 2.9 0.8 1.2 0.8 8.5 8.5 2.3 5.4 5.8

Female 18-29 yrs 573 ― 12.7 9.1 4.3 11.9 10.6 1.5 0.6 3.0 1.1 1.1 1.1 2.2 2.2 ― 4.3 15.7

Female 30-39 yrs 483 ― 12.4 9.7 3.5 12.4 9.7 2.7 0.6 4.7 2.1 1.9 1.9 4.3 4.3 0.6 3.7 12.0

Female 40-49 yrs 434 0.2 16.7 14.4 3.2 10.6 8.9 1.7 0.8 3.4 1.7 1.7 1.5 7.6 7.4 0.6 0.8 6.6

Female 50-59 yrs 378 0.6 22.8 20.7 6.2 10.5 9.4 1.8 1.6 2.3 1.2 1.2 0.8 4.5 4.5 0.4 3.1 3.5

Female 60 yrs or older 478 0.2 21.9 18.6 8.4 10.0 9.0 1.6 1.2 2.7 0.8 1.4 1.0 6.8 6.6 1.6 2.0 3.9

Kanto 3,021 0.5 16.4 14.2 4.6 10.8 8.9 2.3 1.4 4.0 1.8 1.5 1.0 4.9 4.8 0.9 4.1 6.8

Kansai 1,150 0.5 17.4 14.2 5.5 9.0 7.8 1.5 0.9 3.9 1.8 1.6 1.8 5.4 5.3 1.1 3.4 10.0

Tokai 631 0.4 14.7 11.9 5.0 11.5 10.2 1.3 0.6 4.0 1.4 2.0 1.4 4.3 4.1 0.7 3.1 8.8


Worker (child 2-6 yrs) 231 ― 16.0 12.3 4.9 12.2 9.5 2.7 0.4 4.2 1.0 1.8 1.5 4.8 4.8 ― 3.7 7.5

Worker (child 1 yr and under) 116 ― 17.1 14.1 4.9 17.0 15.1 1.9 1.1 5.5 3.8 0.6 1.0 0.9 0.9 ― 4.1 10.2

Worker (married, no children) 995 0.5 14.2 11.7 3.8 10.3 8.3 2.2 1.4 5.1 2.2 2.2 1.8 5.9 5.7 1.2 3.8 8.0


Unmarried male 772 0.7 12.4 10.2 3.3 11.0 8.9 2.5 0.9 4.2 2.1 1.7 0.9 4.7 4.6 1.0 5.6 9.8

Unmarried female 20s/30s 624 ― 10 .3 7 .7 3.4 12.4 10.1 2.5 0.6 3.2 1.0 1.6 1.0 2.3 2.3 ― 5.2 15.3

Unmarried female 40s and over 247 0.4 18.0 14.6 5.6 11.6 11.6 1.0 2.2 3.5 1.4 1.7 1.8 5.8 5.8 ― 1.9 5.8

Student 192 ― 10 .8 9.0 2.8 12.2 11.8 0.4 0.4 4.9 1.8 1.8 2.1 1.2 1.2 ― 5.8 14.3

Light 786 ― 16.1 13.5 5.0 9.5 8.5 1.1 1.1 2.8 1.2 1.5 0.8 1.8 1.8 0.5 8.6 9.7

Middle 1,235 0.5 15.4 12.2 5.0 10.6 9.1 1.6 1.4 4.4 1.5 2.0 1.3 4.3 4.1 0.7 2.8 9.9

Heavy 2,782 0.6 17.1 14.8 4.8 10.7 8.8 2.4 1.0 4.1 2.0 1.5 1.4 6.1 6.0 1.1 3.0 6.4

Sample

Southeast


Thai beaches

(other than

Phuket)

Bangkok or

other Thai

cities

Bali

Indonesian

beaches

(other than

Bali)

Indonesian


Other places

in AsiaOceania Australia

New Zealand

or other

Oceania

Long distanceMedium

distance

Short

distance

2016 survey total 4,802 10.1 3.6 0.5 0.4 2.5 1.3 0.1 0.3 1.1 1.1 0.4 0.2 0.5 6.9 5.7 1.3 34.7 33.6 31.1

Male 2,457 11.1 3.5 0.5 0.5 3.5 1.2 0.1 0.3 1.2 1.5 0.4 0.2 0.6 6.6 5.3 1.4 34.5 33.8 31.1

Female 2,345 9.2 3.7 0.6 0.3 1.5 1.4 0.1 0.3 1.0 0.7 0.4 0.2 0.4 7.2 6.1 1.2 35.0 33.5 31.1

Male 18-29 yrs 341 13.5 4.0 0.4 0.4 4.0 0.6 0.2 0.4 1.5 1.5 0.6 0.8 0.8 8.0 7.2 0.8 27 .8 33.7 34.9

Male 30-39 yrs 475 11.8 3.2 0.8 0.4 3.8 1.9 0.2 ― 1.1 0.8 0.6 ― 0.4 7.4 4.9 2.5 30.0 34.8 32.7

Male 40-49 yrs 580 11.6 3.5 0.6 0.4 3.7 1.2 ― 0.4 1.7 1.5 0.6 0.4 1.2 6.6 6.0 0.6 32.4 33.4 32.8

Male 50-59 yrs 465 9.0 2.2 0.8 0.8 3.1 1.6 ― 0.2 0.6 1.4 ― ― 0.2 7.1 5.3 2.2 39.6 34.7 28.0

Male 60 yrs or older 596 10.1 4.3 ― 0.4 2.9 0.6 ― 0.4 1.0 2.1 ― ― 0.4 4.5 3.9 0.8 39.9 32.6 28.3

Female 18-29 yrs 573 9.9 2.4 0.9 0.2 0.6 2.6 ― 0.4 1.3 0.9 0.6 0.6 0.2 9.9 8.8 1.1 27 .2 32.1 37.9

Female 30-39 yrs 483 7.8 3.3 0.2 0.2 1.2 1.0 0.4 0.8 0.8 0.6 0.4 ― 0.2 9.9 8.2 1.6 32.4 30.1 36.5

Female 40-49 yrs 434 11.4 4.9 1.5 0.2 2.5 1.1 ― 0.2 1.3 1.1 0.2 ― 0.4 6.1 4.2 1.9 38.9 34.2 29.2

Female 50-59 yrs 378 8.6 4.1 0.2 0.6 1.4 1.4 ― ― 1.0 0.8 0.2 ― 0.4 6.6 5.5 1.0 39.2 38.0 24 .0

Female 60 yrs or older 478 8.0 4.3 ― 0.2 2.0 0.8 ― ― 0.4 0.2 0.6 0.4 0.6 2.9 2.7 0.4 40.2 34.2 25 .0

Kanto 3,021 10.6 4.1 0.6 0.4 2.3 1.1 ― 0.4 1.1 1.3 0.3 0.2 0.4 6.2 5.1 1.1 35.9 33.1 30.8

Kansai 1,150 8.6 2.8 0.4 0.5 2.7 1.4 0.1 0.1 0.8 0.8 0.6 0.1 0.7 6.9 6.1 0.8 33.2 33.8 31.5

Tokai 631 10.6 2.5 0.5 0.1 3.1 2.2 0.3 0.2 1.3 0.8 0.5 0.6 0.7 10.3 7.6 2.9 31.8 35.7 31.9

Worker (child 7 yrs and over) 1,813 9.7 4.0 0.4 0.6 2.5 1.0 ― 0.1 0.9 1.1 0.4 0.1 0.4 5.8 4.9 1.1 38.7 36.7 25 .0

Worker (child 2-6 yrs) 231 10.0 2.2 1.2 0.4 3.1 1.0 ― 0.4 0.9 1.2 ― ― 0.5 6.6 4.9 1.7 30.9 32.3 33.3

Worker (child 1 yr and under) 116 13.4 0.9 1.7 ― 3.2 4.1 ― 1.0 ― 2.6 0.9 0.6 ― 5.5 3.8 1.7 25 .4 34.5 39.3

Worker (married, no children) 995 9.3 3.4 1.0 0.3 1.7 1.5 0.3 0.6 0.7 0.8 0.3 0.3 0.7 7.7 6.2 1.6 34.2 32.4 32.7

Worker (unmarried) 1,455 10.8 3.7 0.2 0.2 2.9 1.5 ― 0.2 1.4 1.1 0.5 0.3 0.5 7.5 6.3 1.2 32.6 31.1 35.5

Unmarried male 772 13.6 4.6 0.2 0.2 4.4 1.3 0.1 0.2 1.8 1.4 0.6 0.2 0.8 6.5 5.2 1.3 30.1 32.5 36.1

Unmarried female 20s/30s 624 8.0 2.0 0.4 0.4 0.9 1.5 ― 0.4 1.3 1.0 0.6 0.6 0.2 11.0 9.6 1.4 30.0 28.7 39.2

Unmarried female 40s and over 247 10.0 4.7 ― ― 3.3 1.1 ― 0.4 1.4 0.6 ― ― 0.4 2.9 2.5 0.4 42.0 32.5 28.0

Student 192 11.5 2.9 1.0 0.6 2.8 0.6 ― 0.6 2.4 1.4 0.4 0.4 0.4 9.1 8.1 1.0 26 .1 30.8 39.9

Light 786 10.4 2.4 0.7 0.1 1.9 2.0 0.2 0.6 0.8 1.4 0.5 0.5 0.7 6.5 5.8 0.7 29.8 32.8 33.2

Middle 1,235 10.1 3.6 0.6 0.4 2.1 1.6 0.1 0.2 1.0 0.4 0.8 0.4 ― 8.1 6.3 1.8 33.7 34.2 31.9

Heavy 2,782 10.1 3.9 0.5 0.5 2.8 1.0 ― 0.3 1.2 1.3 0.2 0.1 0.7 6.5 5.4 1.2 36.6 33.6 30.1



Number

of

trips taken


Sex

Area of

residence

Life

stage

Sex & age

Hong Kong or Macau

Sex

Area of

residence

Life

stage

Guam or Saipan China (excluding Hong Kong and Macau)

Sex & age

Number

of

trips taken

Area of

residence

Life

stage

Number

of

trips taken

Hawaii

Sex & age


Sex



2. First ever trip abroad: Timing of trip

■First ever trip abroad: timing of trip (Total: excluding "Don’t remember, don’t know" first destination/Single answer)

Sample

Within last

1 year

Within last

2-3 years

Within last

4-5 years

Within last

6-10 years

10 years ago

or more

2016 survey total 4,650 5.5 3.8 5.4 10.1 75.2

Male 2,366 7.0 4.5 5.2 8.7 74.6

Female 2,284 4.0 3.1 5.5 11.6 75.8

Male 18-29 yrs 326 20.7 13.4 15.2 22.9 27 .8

Male 30-39 yrs 452 10.0 7.8 9.1 14.9 58 .3

Male 40-49 yrs 564 5.1 3.2 3.6 6.8 81.2

Male 50-59 yrs 454 3.3 0.6 1.3 1 .5 93.3

Male 60 yrs or older 570 1.5 1.1 1.3 3 .2 92.9

Female 18-29 yrs 553 10.7 8.9 15.6 29.2 35 .5

Female 30-39 yrs 471 2.7 2.1 4.7 14.4 76.1

Female 40-49 yrs 427 1.3 1.1 0.9 1 .7 95.1

Female 50-59 yrs 371 2.3 1.0 1.0 2 .1 93.5

Female 60 yrs or older 463 1.1 0.6 2.1 4 .4 91.8

Kanto 2,930 5.6 3.5 5.1 10.0 75.8

Kansai 1,103 5.4 4.2 6.2 9.4 74.7

Tokai 618 5.4 4.3 5.1 11.8 73.4

Worker (child 7 yrs and over) 1,755 2.7 1.3 1.7 3 .6 90.6

Worker (child 2-6 yrs) 219 5.1 3.8 6.8 11.8 72.6

Worker (child 1 yr and under) 111 10.9 8.4 9.7 14.3 56 .7

Worker (married, no children) 968 6.4 3.1 4.8 11.9 73.8

Worker (unmarried) 1,411 6.5 5.9 8.4 15.2 64 .0

Unmarried male 745 10.7 7.5 8.8 14.3 58 .7

Unmarried female 20s/30s 606 6.6 7.8 13.2 23.0 49 .4

Unmarried female 40s and over 242 1.1 1.1 0.8 1 .8 95.1

Student 186 17.0 12.2 16.1 19.2 35 .5

Light 738 30.4 17.5 13.7 14.1 24 .3

Middle 1,209 1.1 2.7 10.0 19.9 66 .3

Heavy 2,703 0.7 0.6 1.0 4 .7 93.1



Sex

Area of

residence

Life

stage

Number

of

trips taken

Sex & age

0

20

40

60

80

2016 survey total

（％）



3. Triggers for first ever trip abroad

■Triggers for first ever trip abroad (Total: excluding "Don’t remember, don’t know" first destination/Multiple answers)

Continued on next page

Sample

Because I

went on

honeymoon

Because I was

able to get a

long-term

vacation

Because I was

able to get the

extra time

Because there

was

family/relatives

/friends/

acquaintances

that I was going

to see

Because I was

able to get the

financial means

to afford it

The trip of a

club, team or

company

(planned by

somebody

other than me)

Family trip

(planned by

somebody

other than me)

Private trip

(planned by

somebody

other than me)

Because the

travel costs

were low for

the hotel,

package tour,

etc.

Private trip

(planned by me)

Because I or a

family member

matriculated/

graduated

(planned by me)

Because there

had been a

boom in

traveling

overseas

Because the

value of the

yen had

appreciated

Because I or a

family member

matriculated/

graduated

(planned by

somebody

other than me)

Because the

air ticket was

inexpensive

Because I

participated in

an event

abroad

Family trip

(planned by me)

Because the

situation

overseas had

been stable

2016 survey total 4,650 8.8 8.6 7.2 6.6 6.2 6.1 6.0 5.5 5.4 5.2 4.6 4.1 3.8 3.3 3.1 2.6 2.0 1.7

Male 2,366 10.0 9.9 8.0 5.7 6.9 7.5 4.8 4.9 5.2 5.2 4.1 3.7 4.5 2.8 4.1 3.0 1.8 1.8

Female 2,284 7.6 7.3 6.4 7.5 5.5 4.7 7.3 6.0 5.6 5.2 5.2 4.4 3.2 3.8 2.1 2.3 2.2 1.6

Male 18-29 yrs 326 5.3 6.6 6.6 5.9 4.8 7.0 11.0 3.7 3.5 3.7 3.1 0.7 5.7 5.3 4.4 2.4 0.9 0.4

Male 30-39 yrs 452 3 .3 12.2 11.8 4.4 9.8 8.6 9.5 6.0 6.4 2.4 3.8 2.0 6.4 3.8 6.9 2.7 0.9 1.6

Male 40-49 yrs 564 6.8 10.9 8.5 9.0 7.3 8.8 2.8 6.4 6.8 7.3 5.1 3.0 5.1 3.4 4.9 3.6 0.4 1.5

Male 50-59 yrs 454 17.7 7.7 5.4 5.4 6.5 7.1 1.3 5.6 4.2 5.0 4.8 5.6 3.1 2.1 2.1 2.7 1.0 1.7

Male 60 yrs or older 570 14.9 10.6 7.1 3.7 5.8 6.0 2.2 2.6 4.3 6.3 3.2 5.8 2.6 0.4 2.6 3.2 5.0 3.0

Female 18-29 yrs 553 2 .2 5.8 6.7 8.9 4.0 6.5 13.2 6.5 6.7 4.0 5.4 1.6 4.0 4.5 3.8 2.7 1.3 0.4

Female 30-39 yrs 471 3 .4 5.9 6.1 5.3 5.5 4.9 7.2 7.4 5.3 5.5 5.9 3.6 4.0 5.9 2.5 2.7 1.3 1.3

Female 40-49 yrs 427 6.7 8.2 4.7 5.8 5.6 5.6 4.5 5.6 5.2 5.8 7.7 6.5 3.4 6.0 1.3 3.2 1.7 0.9

Female 50-59 yrs 371 17.8 9.6 7.7 6.7 5.9 3.6 4.2 4.8 5.0 7.1 5.2 5.4 1.7 1.9 0.4 0.6 2.9 2.7

Female 60 yrs or older 463 11.2 7.8 7.0 10.4 7.0 2.5 5.5 5.5 5.5 4.2 1.9 6.1 2.3 0.2 1.7 1.7 3.8 3.0

Kanto 2,930 7.8 8.5 7.3 7.0 6.3 5.4 6.1 5.7 5.6 5.3 4.8 3.9 4.1 3.1 3.0 2.9 1.9 1.6

Kansai 1,103 9.8 10.0 7.5 6.5 6.0 6.4 6.3 4.6 5.8 5.0 4.6 3.8 3.3 3.4 3.8 2.4 2.2 1.8

Tokai 618 12.1 6.5 6.1 5.1 6.3 9.2 5.1 5.9 3.7 4.9 4.0 5.1 3.6 3.9 2.7 1.8 1.9 1.8


Worker (child 2-6 yrs) 219 5.2 10.9 7.1 2.5 8.4 6.9 4.6 4.7 8.1 2.4 7.7 3.6 6.6 2.8 3.7 5.1 0.9 0.9

Worker (child 1 yr and under) 111 9.7 7.1 5.1 9.0 6.3 6.3 2.0 6.2 8.7 2.7 8.0 2.9 5.4 2.4 3.5 0.9 1.1 0.9


Worker (unmarried) 1,411 0 .9 8.3 7.8 6.9 6.6 7.4 7.5 7.1 6.1 6.0 4.6 2.6 4.2 4.9 3.7 3.4 1.1 1.5

Unmarried male 745 1 .0 8.7 8.5 6.2 6.8 8.3 7.4 6.7 5.6 6.1 3.5 2.2 4.7 4.2 5.0 3.6 0.8 1.9

Unmarried female 20s/30s 606 0 .2 5.7 7.1 8.9 4.7 6.5 11.8 7.0 5.7 4.3 4.9 2.1 3.6 5.2 2.7 3.2 1.3 0.7

Unmarried female 40s and over 242 1 .4 11.0 6.4 6.3 8.4 4.9 4.9 6.7 5.8 7.8 4.3 4.0 2.9 4.9 1.1 2.2 1.5 1.6

Student 186 ― 4.7 6.4 9.8 3.9 4.3 17.4 4.8 2.5 4.0 0.7 1.3 2.1 3.4 2.9 2.1 1.0 0.7

Light 738 11.1 10.1 7.9 7.8 7.4 6.4 2.9 4.9 6.6 3.7 3.4 1.7 6.7 4.5 6.5 2.9 1.2 0.7

Middle 1,209 9.8 8.9 8.6 6.8 5.8 7.5 7.1 5.9 4.9 4.7 4.4 3.1 4.7 4.2 2.5 2.5 1.5 1.7

Heavy 2,703 7.8 8.1 6.4 6.2 6.1 5.5 6.4 5.4 5.3 5.8 5.0 5.1 2.7 2.5 2.5 2.6 2.4 1.9



Sex

Sex & age

Area of

residence

Life

stage

Number

of

trips taken

0

5

10

15

2016 survey total

（％）



3. Triggers for first ever trip abroad

Continued from the prior page

Sample

Because I had

my wedding

ceremony

Because I got

a break from

parenting

Because I was

influenced by a

TV program

The trip of a

club, team or

company

(planned by me)

Because there

was nonstop

service to a

country I

wanted to go

to

Because I

participated in

the wedding

ceremony of a

friend/

acquaintance

Because I or a

family found a

job / changed

jobs (planned by

me)

Because I or a

family member

had saved up

miles / had

miles that were

about to expire

Because I or a

family member

reached the

age of

retirement

(planned by me)

Because I or a

family found a

job / changed

jobs (planned by

somebody

other than me)

Because there

was a decrease

in the fuel

surcharge and

other costs

Because I or a

family member

reached the

age of

retirement

(planned by

somebody

other than me)

Because an

international

airport opened

up nearby

Because there

was an

improvement in

the comfort of

airplanes

Because there

was an

improvement in

the safety of

airplanes

Because a low

cost carrier

started service

Because a

nearby airport

started getting

service by

international

flights

Other

2016 survey total 4,650 1.5 1.3 1.2 1.1 1.0 0.5 0.5 0.5 0.4 0.4 0.4 0.4 0.3 0.3 0.3 0.3 0.3 13.5

Male 2,366 2.1 0.5 1.0 1.5 1.5 0.5 0.6 0.5 0.4 0.4 0.6 0.3 0.5 0.5 0.4 0.4 0.4 10.5

Female 2,284 1.0 2.2 1.4 0.7 0.5 0.5 0.4 0.4 0.5 0.4 0.2 0.4 0.2 0.2 0.3 0.2 0.1 16.6

Male 18-29 yrs 326 1.5 0.2 1.1 2.0 0.7 ― 0.7 0.4 ― 0.7 ― 0.2 0.2 0.7 0.4 0.4 0.4 9.5

Male 30-39 yrs 452 0.9 ― 1.8 1.3 1.6 0.7 0.4 1.1 0.2 0.9 1.1 ― 1.1 0.7 0.7 0.4 0.4 6 .4

Male 40-49 yrs 564 1.5 0.2 0.6 1.1 1.1 0.2 1.1 0.2 0.2 ― 1.3 ― 0.6 0.6 0.4 0.6 0.4 10.0

Male 50-59 yrs 454 3.1 0.2 1.0 2.5 1.9 0.6 0.4 0.6 ― 0.4 ― 0.2 0.2 0.2 0.4 0.4 0.8 9.2

Male 60 yrs or older 570 3.0 1.5 0.6 0.9 1.9 0.9 0.4 0.2 1.3 0.2 0.4 1.1 0.2 0.2 ― 0.2 ― 15.8

Female 18-29 yrs 553 0.7 ― 1.8 0.4 0.2 0.7 0.7 0.7 0.2 0.4 0.2 0.4 0.2 ― ― 0.2 0.2 17.9

Female 30-39 yrs 471 0.6 0.2 0.6 1.3 0.4 0.6 0.2 1.1 ― 0.6 0.4 0.4 ― 0.2 0.2 0.4 ― 17.3

Female 40-49 yrs 427 0.6 0.2 0.9 0.4 0.4 0.2 0.2 0.2 0.2 0.4 0.2 0.2 ― 0.2 0.2 ― ― 17.8

Female 50-59 yrs 371 2.1 1.9 1.7 ― 0.6 ― 1.0 ― ― 0.2 ― 0.6 0.4 0.6 0.8 0.2 ― 13.2

Female 60 yrs or older 463 1.1 8.9 1.9 1.1 0.8 1.1 ― ― 1.9 0.4 ― 0.2 0.2 ― 0.2 ― 0.2 16.1

Kanto 2,930 1.2 1.5 1.3 1.2 1.0 0.5 0.6 0.5 0.5 0.5 0.4 0.4 0.3 0.4 0.4 0.2 0.2 14.0

Kansai 1,103 1.7 1.2 1.0 0.8 0.8 0.4 0.2 0.4 0.4 0.2 0.5 0.4 0.4 0.1 0.2 0.4 0.3 12.0

Tokai 618 3.0 0.7 1.2 0.8 1.4 0.8 0.8 0.5 0.2 0.4 0.2 0.2 0.3 0.2 0.2 0.5 0.4 13.9


Worker (child 2-6 yrs) 219 1.6 0.8 1.5 1.9 1.0 0.5 1.0 1.9 0.6 0.9 1.1 ― 0.5 0.5 1.6 0.3 ― 10.9

Worker (child 1 yr and under) 111 2.4 0.9 1.8 4.3 0.9 ― ― ― ― 0.9 2.0 ― 0.9 ― ― 1.1 ― 9.6


Worker (unmarried) 1,411 0.2 0.2 1.6 1.1 0.9 0.3 0.6 0.5 ― 0.3 0.3 0.2 0.2 0.4 0.3 0.4 0.2 14.6

Unmarried male 745 0.3 ― 1.6 1.7 1.4 0.3 0.7 0.7 ― 0.2 0.4 0.1 0.1 0.7 0.5 0.4 0.5 10.6

Unmarried female 20s/30s 606 0.2 ― 1.6 0.6 0.2 0.8 0.6 0.8 ― 0.6 0.4 0.4 0.2 ― 0.2 0.4 0.2 18.5

Unmarried female 40s and over 242 ― 1.1 1.5 0.4 1.0 ― ― ― ― 0.4 ― 0.4 0.4 0.4 ― ― ― 19.8

Student 186 ― ― 1.0 0.8 0.7 1.3 0.7 1.0 ― 0.7 0.7 0.7 ― ― ― ― 0.7 18.3

Light 738 2.6 1.1 1.6 1.1 1.0 0.3 0.5 0.4 0.2 0.3 0.6 0.8 0.5 0.5 0.5 0.2 0.5 11.4

Middle 1,209 1.7 1.3 1.2 1.1 0.9 0.5 0.4 0.8 0.5 0.7 0.9 0.3 0.5 0.3 0.5 0.5 0.3 12.5

Heavy 2,703 1.2 1.4 1.1 1.0 1.0 0.6 0.6 0.3 0.5 0.3 0.2 0.3 0.2 0.3 0.2 0.2 0.2 14.5



Sex

Sex & age

Area of

residence

Life

stage

Number

of

trips taken

0

5

10

15

2016 survey total

（％）

■Triggers for first ever trip abroad (Total: excluding "Don’t remember, don’t know" first destination/Multiple answers)



4. Style of first ever trip abroad

■Style of first ever trip abroad (Total: excluding "Don’t remember, don’t know" first destination/Single answer)

Sample

With friends

(3 or more)

Married

couple travel

With friend

(alone)

Family travel

(with

parents)

Travel alone Couple travel

Family travel

(with

children)

Family

travel (3

generations)

Other

2016 survey total 4,650 19.7 16.2 13.8 13.8 13.1 4.9 3.8 2.1 12.6

Male 2,366 20.2 19.2 9.6 10.8 18.1 6.5 3.2 1.5 10.9

Female 2,284 19.2 13.0 18.2 16.8 8 .0 3.2 4.5 2.8 14.3

Male 18-29 yrs 326 23.8 7 .7 7 .9 28.2 13.0 5.5 0.7 3.3 9.9

Male 30-39 yrs 452 19.3 9 .3 7 .1 21.7 20.0 8.9 1.8 2.4 9.5

Male 40-49 yrs 564 22.0 11.8 13.5 7 .7 23.1 8.1 1.5 1.3 11.1

Male 50-59 yrs 454 23.2 26.7 11.1 2 .5 15.9 6.7 3.1 0.4 10.4

Male 60 yrs or older 570 14 .7 35.0 7 .6 1 .9 16.2 3.5 7.6 0.9 12.7

Female 18-29 yrs 553 20.1 3 .3 16.1 32.6 4 .2 2.7 0.2 5.6 15.2

Female 30-39 yrs 471 23.5 6 .1 16.5 21.6 8.9 4.2 0.8 2.3 16.1

Female 40-49 yrs 427 22.6 8 .6 24.5 13.1 9.0 3.9 1.1 1.3 15.9

Female 50-59 yrs 371 15.1 25.5 19.5 7 .3 9.8 3.6 5.2 1.3 12.8

Female 60 yrs or older 463 14 .2 25.6 15.4 4 .2 9.1 1.7 15.9 2.5 11.4

Kanto 2,930 20.5 15.0 13.9 13.8 13.4 4.9 4.2 1.8 12.4

Kansai 1,103 18.3 18.1 13.7 15.7 11.8 4.7 3.4 2.4 12.0

Tokai 618 18.7 18.2 13.4 10.3 14.0 4.9 2.9 3.1 14.4

Worker (child 7 yrs and over) 1,755 15.7 29.9 11.4 4 .5 11.7 4.4 9.0 1.8 11.5

Worker (child 2-6 yrs) 219 19.4 11.6 13.3 14.8 12.3 9.9 4.7 1.7 12.3

Worker (child 1 yr and under) 111 16.5 17.0 10.5 23.6 8.8 8.9 2.9 1.1 10.7

Worker (married, no children) 968 21.8 17.3 15.2 13.4 12.6 5.6 0.2 1.9 12.1

Worker (unmarried) 1,411 23.8 1 .0 16.7 20.6 16.5 4.4 0.3 2.2 14.4

Unmarried male 745 25.5 1 .2 11.2 20.0 23.3 5.7 0.1 1.5 11.6

Unmarried female 20s/30s 606 21.5 0 .5 16.3 31.4 6 .6 2.5 0.2 4.5 16.6

Unmarried female 40s and over 242 20.1 1 .1 29.4 13.9 13.0 2.1 1.2 2.6 16.5

Student 186 17.9 ― 9.7 44.4 7 .3 ― ― 7.5 13.3

Light 738 22.6 22.2 11.8 9.7 10.7 5.1 3.8 2.5 11.6

Middle 1,209 19.4 16.8 12.4 16.6 10.1 4.6 4.0 2.4 13.7

Heavy 2,703 19.1 14.2 15.0 13.6 15.1 4.9 3.8 1.9 12.4



Sex

Sex & age

Life

stage

Number

of

trips taken

Area of

residence

0

5

10

15

20

25

2016 survey total

（％）



5. Source of information for first ever trip abroad

■Source of Information for First Ever Overseas Trip (Total： First Destination "Don’t remember, don’t know" excluded/Multiple answers)

Sample

Travel agency

pamphlets

Travel agency

counters

Internet

accessed by

PC

Guidebooks

("Chikyuu no

arukikata,"

etc.)

Feedback and

introductions

(word-of-

mouth) of

friends,

acquaintances

, family

members

Guidebook-

style

magazines

such as

"Rurubu

Hawaii," etc.

Information

magazines

sent from

travel agents

and airlines

Internet

accessed by

smartphone/

tablet, etc.

Overseas

travel

magazines

other than

guidebook-

style

magazines

Acquaintance

s at travel

agencies

Articles and

ads in

general-

interest

magazines

Newspaper ads

Email magazine

send by travel

agent or

airline

Seikyo

pamphlets and

counters

Free flyers

and flyers in

newspapers

TV programs

and

commercials

Internet

accessed by

mobile

telephone

(iMode, Ezweb,

Yahoo! Keitai,

etc.)

Transportation

ads on trains

and at stations

Other

I don't really

gather

information

2016 survey total 4,650 25.5 17.7 16.2 11.0 8.6 6.7 3.9 3.2 2.7 2.5 2.2 1.9 1.3 1.2 1.1 1.0 0.7 0.2 3.4 28.4

Male 2,366 24.6 18.4 19.4 11.6 7.5 6.3 3.8 3.1 2.9 2.7 2.9 1.9 1.8 1.5 1.1 1.0 0.9 0.3 3.0 26.4

Female 2,284 26.5 17.0 12.8 10.3 9.7 7.1 4.0 3.4 2.5 2.4 1.3 2.0 0.6 0.8 1.0 0.9 0.5 0.1 3.7 30.5

Male 18-29 yrs 326 16 .3 11 .0 37.7 7.3 9.0 7.0 2.2 9.5 1.1 2.0 3.1 0.9 1.5 2.2 0.4 0.4 2.6 0.9 1.1 32.6

Male 30-39 yrs 452 17 .7 15.7 35.5 11.8 6.0 6.7 3.1 5.5 2.4 1.3 2.0 1.8 1.8 0.9 1.8 1.1 1.8 0.7 1.1 29.5

Male 40-49 yrs 564 24.8 20.5 17.3 15.8 6.6 7.9 2.8 2.1 4.3 2.1 3.8 1.3 1.5 1.5 1.5 1.3 0.4 ― 2.1 24.8

Male 50-59 yrs 454 29.6 19.8 8 .6 14.0 8.8 5.4 3.1 1.0 3.1 3.1 3.1 1.9 0.8 2.1 0.8 1.0 0.4 0.2 4.0 24.6

Male 60 yrs or older 570 30.5 21.4 7 .1 8.0 7.8 4.8 6.7 0.2 2.6 4.3 2.6 3.0 3.2 1.1 0.9 0.9 0.2 ― 5.8 23.5

Female 18-29 yrs 553 16 .3 11 .4 22.3 9.2 8.5 8.7 2.9 10.7 1.6 1.3 0.7 0.7 0.4 1.8 0.4 1.1 1.3 0.2 4.2 38.8

Female 30-39 yrs 471 19 .5 16.1 21.8 10.1 7.8 9.3 3.4 3.0 2.3 1.5 0.8 1.5 0.6 0.8 1.5 0.4 1.1 0.4 3.8 34.0

Female 40-49 yrs 427 32.3 16.6 6 .5 14.0 9.5 7.1 2.6 0.6 3.7 1.7 1.5 1.9 0.4 ― 1.1 0.4 ― ― 2.4 28.4

Female 50-59 yrs 371 37.2 21.5 4 .8 9.8 10.9 5.9 2.9 0.2 2.9 4.2 2.1 2.7 0.4 0.8 0.4 0.8 ― ― 3.1 22 .6

Female 60 yrs or older 463 31.9 21.6 4 .7 8.7 12.5 3.8 8.2 ― 2.3 3.8 1.9 3.6 1.3 0.4 1.5 1.7 ― ― 4.7 25.2

Kanto 2,930 24.6 17.9 16.3 11.4 8.8 6.4 4.1 3.3 2.4 2.5 2.3 2.2 1.4 1.1 1.0 1.0 0.8 0.2 3.2 28.1

Kansai 1,103 27.9 17.4 14.9 9.4 8.3 7.3 4.5 2.9 3.5 2.3 1.8 1.5 1.0 1.2 1.0 1.0 0.7 0.1 3.3 28.7

Tokai 618 25.8 17.7 17.9 11.8 8.3 7.1 2.0 3.6 2.6 3.1 1.9 1.6 0.9 1.5 1.4 0.6 0.7 0.3 4.1 29.6

Worker (child 7 yrs and over) 1,755 32.6 21.4 8 .1 9.2 9.0 5.5 5.7 0.8 2.8 3.9 2.7 2.6 1.6 0.8 0.9 1.1 0.4 ― 3.9 24.0

Worker (child 2-6 yrs) 219 24.8 19.3 19.6 12.2 5.4 10.4 5.9 7.4 5.0 0.9 2.4 1.3 2.3 0.9 2.4 1.9 2.0 0.5 1.7 25.9

Worker (child 1 yr and under) 111 17 .7 21.3 33.2 6.2 10.0 4.0 4.7 9.5 2.9 3.1 1.1 2.0 2.0 2.2 2.9 1.1 1.5 2.0 2.0 21 .3

Worker (married, no children) 968 26.9 17.0 16.8 13.1 8.1 8.1 2.1 3.1 2.6 1.6 1.5 1.7 0.8 1.1 1.3 0.5 0.5 0.1 2.8 29.6

Worker (unmarried) 1,411 18 .2 14.3 23.3 11.9 9.2 6.6 2.8 4.4 2.4 1.8 2.0 1.5 1.0 1.5 0.9 1.0 1.1 0.4 3.2 32.5

Unmarried male 745 16 .3 14.4 29.9 12.8 8.3 6.7 2.7 4.2 2.3 2.2 3.0 1.7 1.6 2.0 0.9 1.1 1.3 0.7 2.1 29.4

Unmarried female 20s/30s 606 14 .9 11 .9 21.5 10.4 8.2 7.4 2.9 7.9 1.8 1.1 0.9 0.7 0.4 1.4 0.3 0.9 1.2 0.2 4.8 40.6

Unmarried female 40s and over 242 28.2 15.5 5 .9 12.2 11.9 5.9 2.2 0.8 3.7 2.1 1.8 1.9 0.4 0.3 1.5 0.7 ― ― 4.0 27.9

Student 186 12 .6 8 .3 21.3 10.8 6.1 8.7 2.1 10.0 1.4 1.3 1.8 0.4 0.4 1.2 ― 1.0 0.8 0.4 5.7 40.8

Light 738 22.9 15.8 36.8 7.4 8.2 9.0 3.7 13.2 1.9 1.8 2.5 1.2 2.0 1.5 0.9 1.2 1.5 0.3 1.6 23.6

Middle 1,209 24.7 17.5 18.4 10.7 7.7 7.9 4.0 2.6 1.6 2.4 1.4 1.3 1.0 0.9 1.4 0.8 1.0 ― 3.5 29.6

Heavy 2,703 26.6 18.3 9 .6 12.1 9.1 5.5 3.9 0.8 3.4 2.8 2.4 2.4 1.2 1.2 0.9 1.0 0.4 0.3 3.8 29.2



Sex

Area of

residence

Life

stage

Number

of

trips taken

Sex & age

0

10

20

30

2016 survey total

（％）

Issue :JULY 2016

AB-ROAD Research Center, Travel Information Div. Recruit Lifestyle Co.,Ltd.GranTokyoSOUTHTOWER,1-9-2 MarunouchiChiyoda-ku Tokyo, JapanCopyright(C) Recruit Lifestyle Co.,Ltd.

2016 market surver of overseas travel...2016/07/19 · ab-road overseas travel survey 2016 4 index...

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