2017 overseas travel survey...2017/07/06 · reasons for selection of package tour 53 3. source of...

2017 Overseas Travel Survey

AB-ROAD Overseas Travel Survey 20173

Index

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

2) Profile of the Respondents 7

Reference: Overseas Travel in 2016 111) Outline of the Survey 12

2) Overseas Travel in 2016 13

Part 1: Trends in Overseas Travel Booking in 2016

Chapter 1: Outline of Overseas Travel in 2016 151. Number of Overseas Trips in 2016 16

2. Destinations in 2016 17

【Reference】 Overseas destinations ever visited 20

3. Trigger for Overseas Travel in 2016 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. Key Factors When Choosing Airlines 62


Index

Part 2: Satisfaction with Travel Destinations 631. Satisfaction with Travel Destinations

1) Overall 64

2) Sightseeing / Viewing 65

3) Sports / Hands-on Activities 66

4) Meals 67

5) Shopping 68

6) Relaxation / Beauty Treatments and Massages 69

7) Local Hospitality 70

8) Safety / Hygiene 71

9) Nightlife 72

Part 3: Future Overseas Travel 731. Countries / Areas Wish to Travel to Overseas in Future 74

2. Countries / Areas Wish to Travel to Overseas in 2017 76

3. [Reference] Destination would like to travel to 77

Part 4: Factors that Promote Overseas Travel 791. Experience that influences overseas travel 80

2. Triggers for traveling abroad 81

5

Prologue

Outline of the Report


●Purpose

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

2016.

●Respondents

Those who traveled overseas in 2016 (whose month of departure was in 2016) were selected from INTAGE’s Intage

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

●Period

Mar 21 (The.) through Mar 24 (Fri.), 2017

●Method

Internet survey

●Sample Size

4,986 respondents (7,712 approached, 5,261 collected from for a collection rate of 68.2%)

●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 2016 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 2016 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 2016 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.)"

・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.)"

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

Denmark, Sweden, Iceland)."

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

2016 survey: Mar 22-30, 2016; tabulation sample size of 4,802

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

(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.

6

1) Outline of the Survey

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

Male 1.10965294 0.88235274 0.83130843 0.74737270 1.05841854

Female 1.08787676 1.11908874 1.15200742 1.16799511 1.15239535


Sample

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

Year-end &New

Year'stotal

GWtotal

Obontotal

SWtotal

2017 survey total 4,986 4.8 4.8 6.0 4.4 6.3 6.2 7.8 11.8 11.8 11.3 9.9 14.9 7.5 3.3 3.2 2.0

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

0

5

10

15

20

2017 survey total

2016 survey total

（％）

（％）

KitaKanto

4prefectures

KeihanshinOtherKinki

2017 survey total 4,986 60.9 3.9 57.1 14.3 24.8 21.3 3.5

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

Sample

TokaiKantoTotal

KansaiTotal

Male Female

●Legend

2017 survey total (n=4,986)


51.3％

51.2

48.7

48.8

20s and

under30s 40s 50s

60s and

over

●Legend

2017 survey total (n=4,986) 45.5

2016 survey total (n=4,802) 45.6

Average

(yrs)

19.6％

19.0

19.8

19.9

22.0

21.1

17.0

17.5

21.7

22.4

（％）

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

4,986 16.6 10.4 4.2 20.1 19.1 9.8 3.4 16.5

4,802 16.1 9.9 4.3 20.9 18.1 10.9 3.0 16.8

Male 2,558 32.4 20.3 8.2 39.1 - - - -

Female 2,428 - - - - 39.1 20.0 6.9 33.9

Male 18-29 yrs 363 77.4 16.5 5.5 0.6 - - - -

Male 30-39 yrs 502 40.2 30.2 22.7 6.9 - - - -

Male 40-49 yrs 633 35.6 24.6 10.4 29.4 - - - -

Male 50-59 yrs 459 18.2 20.0 2.0 59.8 - - - -

Male 60 yrs or older 601 6.0 10.2 0.2 83.6 - - - -

Female 18-29 yrs 615 - - - - 75.9 15.9 7.8 0.4

Female 30-39 yrs 483 - - - - 47.2 26.9 19.0 6.9

Female 40-49 yrs 462 - - - - 31.7 31.9 5.2 31.2

Female 50-59 yrs 389 - - - - 18.3 17.7 0.6 63.4

Female 60 yrs or older 479 - - - - 7.9 8.9 0.5 82.7

Unmarried

MaleSample

Sex

Married Male

Unmarried

Female

Married Female

Sex & age

2017 survey total

2016 survey total

7

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

2) Profile of the Respondents (1)

（％）

Officeworkers/

General(clerical)

Office

workers/General

(researchor

technical)

Officeworkers/

General(sales)

Officeworkers/

General(others)

Office

workers/Manager

class,company

directors

2017 survey total 4,986 19.2 8.5 6.1 6.0 9.1 4.6 4.3 2.3 9.2 5.0 15.3 9.4 1.1

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

Sample

Office workers

Civilservants /

Educators

OtherSelf-

employedFreelance

Part-timers

StudentsFull-time

homemakerUnemployed

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

■Area of residence (Total/Single answer)

■Life stage (Total/Single answer)

■Occupation (Total/Single answer)


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

more

●Legend

2017 survey total (n=4,986) 16.3

2016 survey total (n=4,802) 16.1

Sex Male (n=2,558) 16.8

Female (n=2,428) 15.8

Sex & age Male 18-29 yrs (n=363) 6.3

Male 30-39 yrs (n=502) 10.4

Male 40-49 yrs (n=633) 17.0

Male 50-59 yrs (n=459) 24.1

Male 60 yrs or older (n=601) 22.7

Female 18-29 yrs (n=615) 7.7

Female 30-39 yrs (n=483) 12.2

Female 40-49 yrs (n=462) 18.9

Female 50-59 yrs (n=389) 21.4

Female 60 yrs or older (n=479) 22.3

Area of

residenceKanto (n=3,038) 17.4

Kansai (n=1,235) 14.3

Tokai (n=713) 15.2

Life

stageWorker (child 7 yrs and over) (n=1,821) 17.9

Worker (child 2-6 yrs) (n=232) 13.6

Worker (child 1 yr and under) (n=145) 10.8

Worker (married, no children) (n=1,003) 17.1

Worker (unmarried) (n=1,537) 16.3

Unmarried male (n=828) 15.8

Unmarried female 20s/30s (n=695) 9.4

Unmarried female 40s and over (n=256) 27.5

Student (n=248) 6.9

Number of

trips takenLight (n=852) 2.0

Middle (n=1,253) 6.0

Heavy (n=2,881) 25.0

Average

(times)

5.8％

5.1

6.2

5.3

18.0

10.7

3.7

1.6

1.6

14.0

4.6

2.5

1.8

0.2

5.2

6.4

7.0

2.1

6.1

9.4

6.7

6.8

9.3

11.0

0.5

20.3

33.8

―

―

11.3

11.2

12.3

10.2

28.1

17.4

10.6

6.4

4.9

18.9

13.2

5.2

5.7

4.6

10.6

13.3

10.7

7.3

13.5

16.6

11.0

12.7

16.5

17.3

2.7

28.3

66.2

―

―

16.5

16.3

16.6

16.5

23.9

22.7

16.2

13.0

10.2

27.4

18.5

9.7

14.4

8.4

15.0

18.9

19.0

14.4

19.5

19.5

13.5

19.2

18.9

25.1

7.7

22.5

―

65.7

―

8.6

9.4

8.3

9.0

8.3

11.4

8.3

7.5

6.3

12.0

10.9

7.0

6.3

7.2

8.8

8.5

8.0

8.5

7.9

9.2

8.5

9.3

7.5

11.8

5.9

6.6

―

34.3

―

57.8

57.9

56.6

59.1

21.7

37.8

61.2

71.5

76.9

27.6

52.8

75.6

71.8

79.6

60.3

52.9

55.2

67.7

53.0

45.4

60.3

52.0

47.9

34.8

83.3

22.3

―

―

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

TOTAL2017 survey total 4,986 61.2 31.8 41.6 31.6 25.1 39.2 29.5 26.7 21.4 13.5 16.5 51.5 31.3 41.0 14.0 24.3 23.6 2.9

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

男性 Male 2,558 58.1 30.6 39.1 31.0 23.0 35.5 26.9 24.0 19.7 12.0 15.5 51.2 31.8 41.5 13.9 23.0 22.0 2.9

女性 Female 2,428 64.4 33.0 44.2 32.1 27.3 43.2 32.2 29.6 23.2 15.1 17.5 51.8 30.8 40.5 14.1 25.7 25.4 2.8

男性　　　１８～２９歳Male 18-29 yrs 363 46 .2 20 .2 23 .2 15 .0 12 .2 19 .9 12 .8 11 .6 9 .5 4 .6 7 .6 34 .3 19 .0 23 .2 5 .8 14 .4 14 .4 0.6

男性　　　３０～３９歳Male 30-39 yrs 502 50 .3 23 .2 28 .6 20 .0 15 .6 25 .1 15 .6 15 .6 15 .3 7 .0 13.0 42 .9 24 .8 32 .0 9.7 13 .5 13 .0 1.6

男性　　　４０～４９歳Male 40-49 yrs 633 54 .7 27.9 34 .7 26 .5 16 .3 30 .6 24 .0 20 .6 18.0 9.2 14.8 49.9 31.8 40.3 14.2 19.8 19.2 2.0

男性　　　５０～５９歳Male 50-59 yrs 459 56.8 33.9 41.5 34.5 25.1 39.1 30.1 25.4 17.3 10.9 13.2 57.7 36.2 48.4 17.9 25.2 24.1 2.9

男性　　　６０歳以上Male 60 yrs or older 601 76.6 43.7 60.2 51.9 41.2 56.0 45.4 40.8 33.3 24.5 24.8 64.6 41.9 56.3 18.8 37.9 35.6 6.3

女性　　　１８～２９歳Female 18-29 yrs 615 46 .7 15 .4 24 .4 13 .1 12 .0 24 .2 15 .0 14 .5 9 .2 5 .3 6 .4 34 .5 16 .8 23 .0 8 .1 11 .7 11 .7 0.4

女性　　　３０～３９歳Female 30-39 yrs 483 57.2 28.0 36 .3 23 .8 20 .1 34.3 23 .1 20 .1 17.4 10.2 12.7 43 .8 26 .2 31 .3 10.6 20.6 20.1 1.4

女性　　　４０～４９歳Female 40-49 yrs 462 71.3 37.4 49.9 32.7 28.4 49.9 35.9 32.9 28.7 16.7 22.2 60.3 36.4 49.4 15.7 26.7 26.4 2.5

女性　　　５０～５９歳Female 50-59 yrs 389 69.4 39.6 52.0 42.6 33.6 49.5 38.7 34.5 23.7 13.5 17.4 64.3 40.2 50.2 22.2 32.7 32.4 4.8

女性　　　６０歳以上Female 60 yrs or older 479 83.9 50.7 65.9 55.8 47.8 64.9 54.3 51.2 41.1 32.2 32.0 63.9 40.1 56.0 16.8 42.1 41.3 6.3

関東 Kanto 3,038 64.1 34.8 43.8 33.6 27.7 41.4 31.4 29.2 23.1 14.5 17.8 55.9 34.6 45.0 16.3 24.8 24.1 2.9

関西 Kansai 1,235 58.3 28.7 39.8 29.7 23.1 37.5 28.5 24.4 19.1 12.6 14.6 45 .0 26.5 34 .9 9.7 23.2 22.6 3.0

東海 Tokai 713 54 .0 24 .0 35 .2 26 .0 17 .5 33 .0 23 .0 20 .2 18.1 10.9 13.8 43 .9 25 .5 34 .7 11.5 24.2 23.3 2.5

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,821 67.7 36.9 49.7 41.1 30.8 46.6 37.0 32.9 25.2 16.9 18.6 59.1 36.1 49.0 16.6 30.5 29.7 3.7

社会人（子供２～６歳）Worker (child 2-6 yrs) 232 52 .0 27.7 30 .0 19 .6 18 .8 27 .2 19 .2 17 .3 14 .1 7 .0 11 .2 41 .7 27.4 33 .5 12.4 16 .9 16 .0 1.6

社会人（子供１歳以下）Worker (child 1 yr and under) 145 55 .6 22 .6 36 .0 14 .0 20.9 32 .2 21 .0 12 .4 17.7 9.2 14.9 48.0 27.8 36.4 8 .3 15 .9 15 .9 0.7

社会人（既婚・子供無）Worker (married, no children) 1,003 63.8 30.2 42.6 30.3 26.1 42.9 29.7 26.7 20.7 13.3 15.7 49.7 28.4 39.3 16.0 22.6 22.3 2.3

社会人（独身） Worker (unmarried) 1,537 57.3 31.1 37.5 27.7 21.2 34.7 25.2 24.7 21.2 12.7 17.2 48.2 30.4 37.0 11.4 21.6 20.8 3.1

独身男性 Unmarried male 828 52 .1 27.9 31 .7 25 .7 17 .8 27 .6 21 .1 19 .3 18.3 10.3 15.8 46 .3 30.8 36.1 10.0 20.3 19.0 3.1

独身女性２０・３０代 Unmarried female 20s/30s 695 49 .9 22 .1 30 .1 18 .4 14 .4 27 .9 19 .0 18 .4 12 .4 7 .2 9 .0 38 .6 20 .9 26 .1 8 .4 15 .7 15 .6 1.0

独身女性４０代以上 Unmarried female 40s and over 256 75.5 48.9 57.0 43.4 40.3 56.1 44.3 45.2 40.3 26.2 32.6 67.4 43.4 57.5 19.9 34.0 33.5 5.9

学生 Student 248 39 .5 13 .7 17 .5 11 .5 11 .8 14 .4 14 .4 10 .9 6 .1 3 .0 4 .8 34 .7 18 .3 24 .2 6 .9 14 .4 14 .4 0.7

ライト Light 852 26 .7 6 .9 10 .9 6 .3 4 .7 10 .0 5 .1 5 .0 1 .8 0 .9 1 .2 15 .7 6 .8 10 .1 1 .9 4 .1 4 .0 0.3

ミドル Middle 1,253 51 .4 16 .4 26 .3 14 .9 12 .5 25 .4 14 .3 12 .3 8 .0 3 .6 5 .7 38 .6 16 .3 26 .9 6 .6 13 .0 12 .8 0.2

ヘビー Heavy 2,881 75.7 45.8 57.3 46.3 36.6 53.9 43.3 39.4 33.0 21.5 25.7 67.7 45.0 56.3 20.7 35.2 34.2 4.8

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

TOTAL2017 survey total 4,986 14.5 56.4 50.7 28.3 44.8 40.9 19.3 12.9 36.3 25.8 19.5 19.3 41.9 41.2 22.2 51.9 51.2

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

男性 Male 2,558 14.3 54.8 50.0 27.0 41.7 38.1 18.7 12.2 39.2 28.6 21.1 21.7 41.5 40.5 22.8 49.7 44 .7

女性 Female 2,428 14.6 58.1 51.4 29.7 48.0 43.8 19.8 13.8 33.2 22.9 17.9 16.7 42.3 41.9 21.5 54.2 58.0

男性　　　１８～２９歳Male 18-29 yrs 363 4 .0 39 .4 33 .9 13 .8 29 .7 26 .9 8 .9 5 .2 22 .6 14 .7 11 .3 7 .6 20 .8 19 .6 10 .7 33 .0 25 .1

男性　　　３０～３９歳Male 30-39 yrs 502 11.8 47 .1 40 .6 20 .4 36 .0 32 .7 13 .5 11.4 28 .1 20.9 13 .4 12 .3 30 .6 29 .3 16 .0 41 .7 37 .1

男性　　　４０～４９歳Male 40-49 yrs 633 15.8 51 .4 46.3 22 .3 46.9 42.2 20.5 13.5 39.3 27.6 19.8 21.7 43.4 41.9 23.3 49.0 46.9

男性　　　５０～５９歳Male 50-59 yrs 459 17.4 65.1 61.9 35.2 50.0 46.3 26.9 15.3 42.8 31.3 19.9 24.9 50.5 49.7 27.4 52.4 52.4

男性　　　６０歳以上Male 60 yrs or older 601 18.8 66.4 62.5 39.1 42.1 38.7 21.0 13.2 55.6 42.3 35.6 35.6 54.4 53.9 31.7 65.0 54.8

女性　　　１８～２９歳Female 18-29 yrs 615 6 .7 37 .7 29 .0 15 .9 41.4 38.1 9 .6 7 .4 15 .8 11 .3 6 .4 4 .4 18 .4 18 .1 7 .6 43 .9 53.8

女性　　　３０～３９歳Female 30-39 yrs 483 12.3 52.1 44 .2 23.6 46.8 43.3 16.2 13.0 27 .8 16 .9 14 .4 11 .8 36 .3 35 .9 16 .9 53.0 58.1

女性　　　４０～４９歳Female 40-49 yrs 462 15.0 64.1 60.1 31.2 58.9 52.6 29.9 20.0 36.9 23.4 19.2 19.0 51.4 50.9 23.9 56.6 61.3

女性　　　５０～５９歳Female 50-59 yrs 389 21.3 72.4 66.4 38.1 55.3 50.2 28.5 19.5 40.5 27.6 21.9 19.8 56.2 56.2 25.8 57.7 57.1

女性　　　６０歳以上Female 60 yrs or older 479 21.4 73.1 66.6 45.2 41.6 38.0 20.0 12.0 51.7 39.7 31.5 32.7 59.1 58.4 38.2 63.5 61.1

関東 Kanto 3,038 16.8 59.3 53.7 30.6 46.5 41.8 21.4 14.6 36.0 24.8 19.6 19.7 43.5 42.7 23.0 51.5 49.0

関西 Kansai 1,235 10.3 51.9 46.2 24.9 42.7 39.7 15.5 11.4 36.5 26.7 19.1 19.1 39.8 39.1 20.9 53.7 54.2

東海 Tokai 713 11.9 52.2 45 .5 24.4 41.6 38.9 16.7 8.4 37.3 28.7 19.7 17.8 38.9 38.5 21.0 50.2 55.3

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,821 16.8 67.0 61.5 35.1 47.6 43.5 22.4 13.2 43.4 31.0 24.1 25.6 48.3 47.8 25.8 56.1 52.0

社会人（子供２～６歳）Worker (child 2-6 yrs) 232 12.3 57.6 50.0 28.1 55.3 50.2 18.7 18.2 26 .0 18 .0 13 .0 11 .7 40.2 39.1 17 .2 43 .7 45 .5

社会人（子供１歳以下）Worker (child 1 yr and under) 145 9 .1 56.7 47.9 26.5 45.4 41.5 21.4 13.7 19 .9 12 .8 12 .1 11 .1 28 .6 28 .6 14 .3 37 .6 49.5

社会人（既婚・子供無）Worker (married, no children) 1,003 16.3 59.9 54.5 29.1 47.4 42.8 21.6 16.8 36.8 26.3 19.0 19.1 41.1 40.4 21.6 50.0 50.4

社会人（独身） Worker (unmarried) 1,537 13.0 45 .5 39 .8 22 .2 41.3 37.5 16.0 11.0 34.4 24.5 18.2 16.3 41.2 40.3 22.6 54.2 53.8

独身男性 Unmarried male 828 11.6 41 .4 36 .8 18 .6 33 .9 30 .5 14.7 9.1 35.6 26.5 19.2 17.8 37.8 36.5 21.3 47.2 41 .4

独身女性２０・３０代 Unmarried female 20s/30s 695 7 .5 38 .5 30 .4 18 .2 38 .7 36.1 10 .2 7 .8 20 .0 13 .6 8 .7 6 .2 24 .8 24 .3 11 .6 50.6 57.4

独身女性４０代以上 Unmarried female 40s and over 256 23.6 64.7 61.6 37.6 56.1 50.7 26.7 18.1 48.9 32.6 29.0 26.7 68.8 67.9 39.4 64.3 70.2

学生 Student 248 4 .3 31 .6 25 .4 14 .8 26 .3 24 .9 6 .9 2 .6 13 .7 9 .7 5 .8 4 .0 11 .9 11 .0 4 .4 30 .4 39 .0

ライト Light 852 2 .5 27 .8 21 .8 10 .2 18 .2 16 .5 2 .6 3 .0 8 .9 5 .3 3 .2 3 .2 6 .5 6 .1 1 .9 24 .7 19 .0

ミドル Middle 1,253 5 .2 48 .2 40 .9 17 .7 38 .7 35 .2 10 .5 6 .6 21 .0 12 .9 8 .2 8 .1 26 .0 25 .3 10 .3 42 .1 41 .8

ヘビー Heavy 2,881 22.0 68.5 63.5 38.2 55.3 50.5 28.0 18.7 51.0 37.5 29.2 28.9 59.3 58.5 33.3 64.2 64.8

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

TOTAL2017 survey total 4,986 63.9 38.0 12.0 9.4 29.6 20.8 4.3 8.7 21.6 14.3 21.6 12.4 11.9 37.9 34.2 13.1 77.0 84.2 87.1

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 79.1 85.0 86.6

男性 Male 2,558 62.1 36.2 12.1 11.2 30.4 18.2 4.9 9.3 21.5 15.7 20.1 12.0 12.7 35.4 32.3 12.1 75.8 84.1 84.9

女性 Female 2,428 65.8 40.0 12.0 7.6 28.7 23.6 3.7 8.0 21.7 12.9 23.1 12.9 11.0 40.6 36.3 14.0 78.3 84.3 89.5

男性　　　１８～２９歳Male 18-29 yrs 363 41 .3 18 .7 2 .8 3 .7 11 .3 6 .7 1.5 3 .4 10 .1 9.8 8 .9 6 .7 8.6 24 .2 22 .9 5 .8 63 .9 69 .1 71 .3

男性　　　３０～３９歳Male 30-39 yrs 502 54 .1 26 .2 9.8 9.7 24 .1 14 .6 3.3 7.0 15 .1 12.8 13 .9 9.5 9.1 27 .1 25 .5 6 .7 68 .5 79.3 80 .1

男性　　　４０～４９歳Male 40-49 yrs 633 64.3 36.1 13.4 12.7 34.8 18.5 4.2 9.2 24.0 16.4 19.7 11.7 13.5 37.6 33.1 13.0 75.4 85.3 87.1

男性　　　５０～５９歳Male 50-59 yrs 459 70.5 44.1 17.8 15.5 37.1 25.1 6.8 11.7 24.6 19.5 23.5 12.1 13.0 40.6 37.6 14.5 78.0 89.4 89.1

男性　　　６０歳以上Male 60 yrs or older 601 72.5 49.1 13.9 12.0 37.5 22.4 7.4 12.9 28.5 18.0 29.9 17.4 16.9 42.8 38.6 17.8 87.9 91.7 91.5

女性　　　１８～２９歳Female 18-29 yrs 615 49 .7 22 .1 4 .8 2 .8 14 .5 10 .6 0.7 1 .9 10 .6 10.3 12 .7 6 .4 5 .7 30 .8 26 .9 7 .1 64 .1 73 .1 85.8

女性　　　３０～３９歳Female 30-39 yrs 483 61.3 29 .9 10.2 6.3 27.3 25.5 2.1 6.3 19.9 11.3 19.2 13.0 7.9 38.7 35.6 9.3 73.6 80.1 89.1

女性　　　４０～４９歳Female 40-49 yrs 462 77.1 50.4 19.0 12.0 37.7 30.2 5.2 11.2 29.2 16.7 24.9 13.0 13.2 42.9 39.4 14.0 83.8 91.5 92.5

女性　　　５０～５９歳Female 50-59 yrs 389 73.0 52.6 17.1 12.3 32.7 30.9 6.6 8.7 26.7 13.5 25.8 12.6 13.2 50.2 44.7 19.5 84.4 91.9 90.4

女性　　　６０歳以上Female 60 yrs or older 479 74.0 52.9 12.3 7.2 36.3 26.2 5.5 13.9 26.7 13.5 36.3 21.2 17.1 45.2 38.9 23.3 90.9 89.9 90.9

関東 Kanto 3,038 65.8 39.1 13.8 10.4 30.1 22.4 5.1 9.7 22.9 16.4 23.7 12.3 13.1 37.9 34.6 12.6 79.8 85.3 87.3

関西 Kansai 1,235 60.4 36.3 9.5 8.1 28.8 19.1 3.1 8.1 21.6 11.0 17.5 12.6 10.1 36.9 32.8 13.8 73.6 82.2 87.8

東海 Tokai 713 61.6 36.7 9.0 7.6 28.9 17.1 2.9 5.2 16 .0 11.3 19.4 12.5 9.6 39.6 34.8 13.7 71 .1 82.8 85.4

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,821 68.0 44.4 13.1 8.9 32.3 22.2 4.7 9.9 23.1 13.8 24.7 13.7 12.1 43.2 38.6 16.7 82.6 90.1 89.6

社会人（子供２～６歳）Worker (child 2-6 yrs) 232 58 .6 29 .5 12.7 9.3 22 .8 20.6 3.3 6.0 19.3 12.5 16 .0 5 .8 8.9 33.9 31.7 8.3 68 .3 81.5 87.8

社会人（子供１歳以下）Worker (child 1 yr and under) 145 56 .1 22 .7 9.5 6.5 18 .7 18.8 0.7 7.9 15 .5 15.0 12 .5 8.0 6 .5 33.7 30.1 9.7 71 .8 80.9 84.9

社会人（既婚・子供無）Worker (married, no children) 1,003 65.4 37.7 14.2 10.4 31.8 25.8 5.4 9.1 23.3 14.0 22.4 11.6 12.5 36.7 33.9 11.0 78.6 86.9 84.1

社会人（独身） Worker (unmarried) 1,537 63.0 36.7 10.7 10.9 29.8 18.4 4.1 8.4 21.7 16.0 20.7 14.1 13.0 35.6 31.8 12.5 74.3 79.9 88.2

独身男性 Unmarried male 828 58 .9 32 .2 10.1 13.2 29.3 14 .5 4.5 8.8 21.1 17.3 17.9 13.0 13.4 29 .9 27 .4 10.7 70 .7 76 .3 82.6

独身女性２０・３０代 Unmarried female 20s/30s 695 53 .3 26 .0 4 .9 3 .3 18 .1 12 .9 1.6 3 .5 13 .5 11.4 15 .4 9.2 6 .7 32 .6 29 .1 8 .1 67 .2 72 .6 87.4

独身女性４０代以上 Unmarried female 40s and over 256 82.4 62.5 22.2 16.3 45.3 35.3 6.8 14.5 33.9 19.0 34.4 21.2 22.2 51.2 44.8 22.2 88.2 93.7 95.9

学生 Student 248 42 .2 17 .4 4 .7 2 .6 11 .8 6 .9 0.9 2 .2 9 .3 10.5 11 .4 4 .0 6 .2 24 .9 23 .2 4 .0 57 .6 61 .1 75 .2

ライト Light 852 24 .6 8 .5 1 .7 1 .3 6 .8 2 .7 0.3 0 .3 2 .8 4 .7 3 .3 1 .5 2 .1 11 .6 10 .4 2 .2 40 .6 53 .0 61 .2

ミドル Middle 1,253 51 .2 22 .1 3 .6 3 .0 14 .4 11 .5 0.3 3 .1 8 .0 7 .8 10 .3 5 .4 3 .6 27 .4 24 .0 5 .9 71 .6 81.4 86.8

ヘビー Heavy 2,881 81.0 53.7 18.8 14.7 42.9 30.2 7.2 13.5 33.1 20.0 31.9 18.7 18.3 50.3 45.7 19.4 90.1 94.6 94.9

50.0 …Figures 5 or more points or higher than the 2017 survey total are shaded.

50 .0 …Figures 5 or more points or lower than the 2017 survey total are shaded.

Number of

trips taken

Sex

Sex & age

Area of

residence

Life

stage

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

Sex & age

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

Sex

11

Reference

Overseas Travel in 2016


●Purpose

To get a picture of what travel abroad was in 2016.

●Respondents

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

Tokai).

●Period

Mar 8 (Wed.) through Mar 21 (The.), 2017

●Method

Internet survey

●Sample Size

77,430 respondents (258,896 approached, 78,976 collected from for a collection rate of 30.5%)

† Of the 77,430 respondents included in this survey, only the 20,863 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

12

1) Outline of the Survey

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

0.71708302 0.74284490 0.89264966 0.72296141 1.73988023 0.67276416 0.70965961 0.88209374 0.72325497 2.20063070

Female

●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 2016 are indicated from the

following survey results.


2) Overseas Travel in 2016 (1)

■Overseas travel experienced in 2016 (Total/Single answer)

Went overseas Didn't go

●Legend



Sex Male (n=10,016)

Female (n=10,847)

Sex & age Male 18-29 yrs (n=1,463)

Male 30-39 yrs (n=1,531)

Male 40-49 yrs (n=1,882)

Male 50-59 yrs (n=1,506)

Male 60 yrs or older (n=3,635)

Female 18-29 yrs (n=1,421)

Female 30-39 yrs (n=1,492)

Female 40-49 yrs (n=1,846)

Female 50-59 yrs (n=1,517)

Female 60 yrs or older (n=4,571)

Area of

residenceKanto (n=11,896)

Kansai (n=5,798)

Tokai (n=3,169)

14.9％

14.9

13.6

16.0

13.6

13.3

11.1

14.2

14.9

16.7

13.6

11.5

13.6

19.3

15.8

13.4

14.2

85.1

85.1

86.4

84.0

86.4

86.7

88.9

85.8

85.1

83.3

86.4

88.5

86.4

80.7

84.2

86.6

85.8


2) Overseas Travel in 2016 (2)

■Purpose of overseas travel in 2016 (2016 overseas travelers/Single answer)

Leisure Business

To visit friends/

acquaintances/

family/relatives

Study abroad/

TrainingOther

●Legend



Sex Male (n=1,366)

Female (n=1,741)

Sex & age Male 18-29 yrs (n=199)

Male 30-39 yrs (n=204)

Male 40-49 yrs (n=208)

Male 50-59 yrs (n=213)

Male 60 yrs or older (n=541)

Female 18-29 yrs (n=237)




Female 60 yrs or older (n=882)

Area of

residenceKanto (n=1,881)

Kansai (n=777)

Tokai (n=449)

† "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)."

79.6％

76.9

72.5

85.1

73.4

69.1

67.0

56.9

81.7

76.1

82.5

87.5

85.3

87.5

80.1

79.0

78.5

9.5

11.2

19.7

1.6

8.6

25.5

30.5

37.6

10.3

3.1

3.8

2.9

2.1

0.2

9.5

8.7

11.2

7.4

7.5

4.6

9.6

4.7

4.7

1.3

3.7

6.1

6.3

10.5

7.9

9.1

10.7

6.9

8.5

7.5

1.9

1.9

1.6

2.1

10.4

-

0.4

-

-

9.7

0.7

1.7

1.4

0.7

2.1

1.8

1.3

1.6

2.5

1.7

1.6

2.9

0.7

0.9

1.7

1.9

4.8

2.4

-

2.1

0.7

1.5

1.9

1.6

15

Outline of Overseas Travel in 2016

Chapter 1

Part 1

Trends in Overseas Travel Booking in 2016


Part 1 Trends in Overseas Travel Booking in 2016 Chapter 1 Outline of Overseas Travel in 2016

Once 2 times 3 times 4 times5 times or

moreNo ans.

●Legend

2017 survey total (n=4,986) 1.7

2016 survey total (n=4,802) 1.7

Sex Male (n=2,558) 1.7

Female (n=2,428) 1.6

Sex & age Male 18-29 yrs (n=363) 1.6

Male 30-39 yrs (n=502) 1.7

Male 40-49 yrs (n=633) 1.6

Male 50-59 yrs (n=459) 2.0


Female 18-29 yrs (n=615) 1.7

Female 30-39 yrs (n=483) 1.6

Female 40-49 yrs (n=462) 1.7

Female 50-59 yrs (n=389) 1.6


Area of


Kansai (n=1,235) 1.7

Tokai (n=713) 1.6

Life









Student (n=248) 1.6

Number of


Middle (n=1,253) 1.3

Heavy (n=2,881) 2.0

Average

(times)

65.8％

66.1

66.4

65.2

69.7

70.8

71.1

61.1

59.7

67.4

68.1

66.3

62.2

60.6

65.2

65.8

68.2

66.4

72.6

72.6

68.1

61.7

61.3

64.9

59.3

66.6

88.5

76.9

54.2

21.5

21.1

20.3

22.8

19.6

18.5

16.8

22.0

24.5

20.5

21.3

21.4

24.9

26.7

21.8

21.7

19.8

21.8

18.4

20.1

19.6

22.8

22.0

21.8

27.6

22.4

8.9

16.9

27.2

6.7

7.3

6.7

6.6

5.8

4.2

5.8

7.2

10.0

6.2

5.8

6.2

7.5

7.5

6.8

6.1

7.1

6.5

2.5

3.7

6.8

8.1

7.8

7.3

7.7

4.0

2.6

3.3

9.3

2.6

2.2

2.7

2.5

1.2

2.1

2.5

3.4

3.7

3.7

1.9

2.2

2.4

1.9

2.6

2.9

2.1

2.2

4.1

1.5

2.6

2.8

2.9

3.5

0.9

3.5

-

1.5

3.8

3.5

3.3

4.0

3.0

3.7

4.4

3.8

6.4

2.1

2.1

3.0

3.7

3.0

3.4

3.7

3.5

2.7

3.2

2.5

2.1

2.9

4.5

6.0

2.5

4.5

3.5

-

1.4

5.4

16

1. Number of Overseas Trips in 2016

■Number of overseas trips in 2016 (Total/Single answer)



17

2. Destinations in 2016 (1)

■Destinations in 2016 (Total/Multiple answers)

（％）2016

destination

2015

destination

2014

destination

2013

destination

(n=4,986) (n=4,802) (n=5,000) (n=4,936)

UK 3.5 4.2 ▲ 0.7 3.8 4.2France 4.9 6.0 ▲ 1.1 7.7 7.5Germany 3.9 4.8 ▲ 0.9 4.0 4.6Spain 3.4 3.9 ▲ 0.5 3.6 3.5Italy 5.4 5.8 ▲ 0.4 5.5 5.7Other countries in western Europe 5.0 5.8 ▲ 0.8 5.2 5.6Greece 0.5 0.7 ▲ 0.2 0.6 0.5Countries of eastern Europe 3.1 3.1 ― 2.4 3.1Countries of northern Europe 2.1 2.2 ▲ 0.1 1.8 1.9Turkey 0.3 1.2 ▲ 0.9 1.9 2.2Morocco 0.3 0.4 ▲ 0.1 0.7 0.6Egypt 0.4 0.1 0.3 0.2 0.5Dubai 0.9 0.9 ― 0.8 0.8Kenya 0.1 ― 0.1 0.1 0.2Other Middle East or Africa 0.9 0.8 0.1 1.0 1.1USA east 4.7 4.7 ― 4.3 3.6USA west 5.2 5.2 ― 5.1 5.6USA south 1.5 1.3 0.2 1.4 1.3Canada 2.8 2.3 0.5 2.4 1.9Alaska 0.1 0.2 ▲ 0.1 0.1 0.1Mexico 0.8 0.5 0.3 0.8 0.6Jamaica 0.1 ― 0.1 0.1 0.1Caribbean islands 0.5 0.3 0.2 0.3 0.4Other Central/South America 1.1 0.9 0.2 0.8 1.3Hawaii (Oahu) 12.7 13.0 ▲ 0.3 13.5 12.7Hawaii (other than Oahu) 3.6 3.5 0.1 3.7 3.7Guam 6.2 7.0 ▲ 0.8 6.5 7.7Saipan 0.6 0.8 ▲ 0.2 1.1 1.4Palau 0.5 0.4 0.1 0.5 0.5Other Micronesia 0.2 0.2 ― 0.1 0.1Fiji ― 0.1 ▲ 0.1 ― 0.1Tahiti 0.2 0.2 ― 0.1 0.3New Caledonia 0.3 0.2 0.1 0.2 0.2Maldives 0.6 0.5 0.1 0.5 0.6Other Islands in South Pacific of Indian Ocean 0.2 0.1 0.1 0.1 0.2Shanghai 3.2 2.3 0.9 2.2 2.5Beijing 0.9 1.0 ▲ 0.1 0.8 0.7Other China 2.3 2.4 ▲ 0.1 2.0 1.9Hong Kong 5.9 5.4 0.5 5.7 5.0Macau 2.1 2.1 ― 1.9 2.1Taiwan 18.8 15.9 2.9 14.3 12.8Korea 12.1 10.0 2.1 12.5 15.4Singapore 5.6 6.1 ▲ 0.5 5.0 5.4Phuket 1.0 1.2 ▲ 0.2 1.1 1.2Thai beaches (other than Phuket) 1.2 1.1 0.1 1.2 1.4Thailand (other than beach resorts) 5.8 6.2 ▲ 0.4 5.6 6.6Bali 2.2 2.7 ▲ 0.5 2.7 3.2Indonesian beaches (other than Bali) 0.1 0.4 ▲ 0.3 0.2 0.3Indonesia (other than beach resorts) 0.5 0.7 ▲ 0.2 0.6 0.7Malaysian beaches 0.7 0.9 ▲ 0.2 0.9 0.9Malaysia (other than beach resorts) 2.0 2.1 ▲ 0.1 2.2 2.1Cebu Island 1.4 1.2 0.2 1.0 0.8Philippine beaches (other than Cebu Island) 0.4 0.6 ▲ 0.2 0.2 0.5Philippines (other than beach resorts) 1.3 1.0 0.3 1.2 0.8Vietnam cities (Ho Chi Minh, Hanoi) 3.5 3.8 ▲ 0.3 3.9 4.0Vietnam beaches 1.2 1.3 ▲ 0.1 0.5 0.4Vietnam (other than cities and beach resorts) 0.4 0.8 ▲ 0.4 0.5 0.6Cambodia 1.1 1.9 ▲ 0.8 2.3 2.2India 0.8 0.9 ▲ 0.1 1.0 0.9Sri Lanka 0.5 0.5 ― 0.5 0.5Other Asia 1.2 1.0 0.2 1.2 1.3Australia 4.1 3.6 0.5 3.3 3.1New Zealand 1.4 1.2 0.2 1.1 1.2Other Oceania 0.1 0.1 ― 0.1 0.1

Europe/total 22.2 25.7 ▲ 3.5 25.4 26.5Middle East or Africa/total 2.6 3.0 ▲ 0.4 4.1 4.7USA (exc. Hawaii and Alaska)/total 10.1 10.3 ▲ 0.2 9.8 9.4Canada or Alaska/total 2.8 2.4 0.4 2.5 2.0Central/South America or Caribbean/total 2.0 1.5 0.5 1.8 2.0Hawaii/total 15.0 15.3 ▲ 0.3 15.7 14.4Guam or Saipan/total 6.8 7.7 ▲ 0.9 7.4 8.8South Pacific islands or other islands/total 1.8 1.6 0.2 1.5 1.8China (ex. Hong Kong / Macau)/total 5.5 5.0 0.5 4.5 4.4Hong Kong or Macau/total 6.5 5.9 0.6 6.3 5.7Southeast Asia/total 22.6 24.3 ▲ 1.7 22.5 23.6Other places in Asia/total 2.5 2.2 0.3 2.6 2.6Oceania/total 5.3 4.8 0.5 4.3 4.2Long distance/total 34.7 37.7 ▲ 3.0 39.2 39.5Medium distance/total 41.2 42.5 ▲ 1.3 41.1 41.0Short distance/total 45.5 41.0 4.5 40.7 42.2

Oceania

Guam orSaipan

South Pacific

islands or otherislands

Other places in

Asia

Southeast Asia

China (excluding

Hong Kong andMacau)

Hong Kong or

Macau

increase

/decrease

2015→2016

Hawaii

USA (excluding

Hawaii andAlaska)

Canada or

Alaska

Europe

Middle Eastor Africa

Central/South

America orCaribbean

0 5 10 15 20 25 30 35 40 45 50

2016

destination

2015

destination



18

■Destinations in 2016: by demographic (Total/Multiple answers)

2. Destinations in 2016 (2)

（％）

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

TOTAL2017 survey total 4,986 22.2 3.5 4.9 3.9 3.4 5.4 5.0 5.3 2.6 0.3 2.3 10.1 4.7 5.2 1.5 2.8 2.8 0.1

2016 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

男性 Male 2,558 21.3 3.4 5.8 3.9 3.3 4.9 4.6 4.8 2.7 0.3 2.4 10.1 4.7 5.1 1.6 2.6 2.6 0.1

女性 Female 2,428 23.2 3.6 4.1 3.9 3.5 5.9 5.5 5.8 2.4 0.3 2.2 10.1 4.7 5.3 1.3 3.0 2.9 0.1

男性　　　１８～２９歳Male 18-29 yrs 363 20.8 4.0 5.8 4.3 4.0 4.9 3.7 3.7 3.1 ― 3.1 9.8 4.0 4.9 1.2 4.6 4.6 ―

男性　　　３０～３９歳Male 30-39 yrs 502 18.6 4.4 4.6 3.0 2.6 4.2 1.4 4.0 3.5 0.4 3.3 10.7 4.9 5.4 2.5 2.6 2.6 ―

男性　　　４０～４９歳Male 40-49 yrs 633 16 .6 3.2 5.4 3.2 1.7 4.6 3.3 3.4 2.4 0.5 2.0 10.0 5.4 4.5 1.1 2.2 2.2 0.1

男性　　　５０～５９歳Male 50-59 yrs 459 18.4 1.6 5.2 2.8 2.6 4.6 4.9 4.4 1.8 0.3 1.5 9.3 3.6 5.4 1.5 1.5 1.5 ―

男性　　　６０歳以上Male 60 yrs or older 601 31.2 3.7 7.6 6.2 5.5 6.0 8.8 7.7 2.8 0.4 2.5 10.4 4.9 5.5 1.8 2.8 2.6 0.4

女性　　　１８～２９歳Female 18-29 yrs 615 17 .2 2.8 3.4 2.1 3.4 6.0 3.7 3.9 1.8 0.2 1.6 12.9 5.3 7.3 1.8 2.3 2.3 ―

女性　　　３０～３９歳Female 30-39 yrs 483 19.2 2.8 3.5 4.4 3.2 4.2 4.2 4.6 1.9 ― 1.9 8.1 4.2 4.6 0.7 2.5 2.5 ―

女性　　　４０～４９歳Female 40-49 yrs 462 21.7 3.7 5.0 3.5 2.7 5.2 5.2 4.7 2.7 0.2 2.5 7.7 3.2 3.5 2.2 1.2 1.2 0.2

女性　　　５０～５９歳Female 50-59 yrs 389 26.7 4.2 3.0 5.7 3.9 4.2 6.9 6.3 2.1 ― 2.1 10.2 4.2 5.7 0.6 1.8 1.8 ―

女性　　　６０歳以上Female 60 yrs or older 479 33.4 4.6 5.5 4.8 4.6 9.4 8.4 10.1 3.8 1.0 2.9 10.8 6.3 5.0 1.2 7.0 6.7 0.2

関東 Kanto 3,038 23.7 3.5 5.5 4.3 3.6 5.5 5.0 6.0 2.8 0.3 2.6 11.1 5.1 5.6 1.8 2.5 2.4 0.1

関西 Kansai 1,235 20.4 3.3 4.3 3.1 3.3 4.8 4.7 3.9 2.2 0.3 2.0 8.7 4.1 4.6 1.1 3.4 3.4 0.1

東海 Tokai 713 19.3 3.4 3.6 3.8 2.5 5.8 5.5 4.6 2.0 0.3 1.7 8.2 3.8 4.8 0.7 3.1 3.1 0.1

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,821 23.5 3.0 4.7 4.5 3.7 5.4 5.8 5.5 2.2 0.4 1.9 10.0 4.6 5.1 1.4 3.2 3.1 0.2

社会人（子供２～６歳）Worker (child 2-6 yrs) 232 11 .6 3.8 5.2 0.8 1.6 1.1 0.8 2.1 1.5 ― 1.5 5.9 3.6 2.7 1.1 1.2 1.2 ―

社会人（子供１歳以下）Worker (child 1 yr and under) 145 13 .2 2.1 4.2 0.7 2.3 4.8 1.5 1.9 2.8 0.5 2.3 10.7 3.6 7.8 1.4 1.3 1.3 ―

社会人（既婚・子供無）Worker (married, no children) 1,003 24.7 3.5 5.1 3.9 4.3 7.9 5.7 5.2 2.6 0.2 2.5 8.9 3.6 4.3 2.6 2.6 2.6 ―

社会人（独身） Worker (unmarried) 1,537 21.9 4.0 5.1 4.2 2.6 4.6 4.7 6.3 3.1 0.4 2.8 10.5 5.1 5.5 1.2 2.6 2.6 0.1

独身男性 Unmarried male 828 21.2 4.3 5.9 4.9 2.6 4.2 4.2 5.5 3.8 0.5 3.4 13.0 6.6 6.7 1.1 3.4 3.4 0.1

独身女性２０・３０代 Unmarried female 20s/30s 695 18.2 3.0 3.6 3.0 2.7 5.0 4.1 4.4 2.1 0.2 1.9 12.3 5.8 6.6 0.9 2.7 2.7 ―

独身女性４０代以上 Unmarried female 40s and over 256 32.1 5.4 6.8 4.1 4.5 4.5 7.7 10.4 3.2 0.5 2.7 3 .6 1.8 1.8 0.9 1.8 1.8 0.5

学生 Student 248 20.3 4.0 4.9 2.7 5.3 4.0 4.4 2.6 2.2 ― 2.2 17.2 8.8 9.3 ― 4.9 4.9 ―

ライト Light 852 14 .9 2.6 4.0 2.5 2.3 3.8 1.5 2.1 0.2 ― 0.2 6.9 2.6 4.0 0.6 2.2 2.2 ―

ミドル Middle 1,253 18.0 2.5 3.3 3.0 3.1 5.1 2.9 3.1 1.5 0.5 1.0 8.6 3.6 3.9 1.6 2.3 2.3 ―

ヘビー Heavy 2,881 26.2 4.1 5.9 4.7 3.9 6.0 7.0 7.2 3.7 0.3 3.5 11.7 5.8 6.1 1.7 3.2 3.1 0.2

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


TOTAL2017 survey total 4,986 2.0 15.0 12.7 3.6 6.8 6.2 0.6 1.8 5.5 3.2 0.9 2.3 6.5 5.9 2.1 18.8 12.1

2016 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

男性 Male 2,558 2.0 16.0 13.7 3.6 6.7 6.2 0.6 1.9 6.6 3.9 1.0 2.9 7.2 6.4 2.4 18.8 8.8

女性 Female 2,428 2.0 14.0 11.8 3.6 6.9 6.3 0.7 1.7 4.4 2.5 0.7 1.6 5.7 5.3 1.8 18.7 15.7

男性　　　１８～２９歳Male 18-29 yrs 363 1.8 19.3 16.8 3.4 7.0 6.7 0.3 1.2 6.7 3.4 1.5 2.8 8.9 8.3 4.0 16.8 9.5

男性　　　３０～３９歳Male 30-39 yrs 502 3.2 19.9 15.8 5.6 9.8 9.5 1.1 2.6 6.3 3.9 0.7 2.5 7.2 6.2 2.8 19.5 8.1

男性　　　４０～４９歳Male 40-49 yrs 633 1.6 15.2 13.5 2.6 7.8 7.1 0.9 2.1 5.9 3.4 1.6 2.2 8.7 7.2 3.0 18.4 8.1

男性　　　５０～５９歳Male 50-59 yrs 459 1.5 14.8 12.4 3.7 6.8 6.2 0.7 1.8 6.7 4.6 0.7 2.9 7.8 6.8 2.3 17.6 11.2

男性　　　６０歳以上Male 60 yrs or older 601 2.1 12.3 11.1 3.2 2.5 2.3 0.2 1.6 7.6 4.4 0.7 3.9 4.2 4.2 0.7 20.8 7.7

女性　　　１８～２９歳Female 18-29 yrs 615 1.8 11.9 9.2 3.9 9.6 8.8 0.7 2.1 3.5 2.5 1.4 0.4 5.1 5.0 2.1 19.1 21.9

女性　　　３０～３９歳Female 30-39 yrs 483 2.8 15.0 12.0 4.2 9.3 8.8 0.5 2.3 4.2 1.6 0.5 2.3 7.2 6.9 1.2 19.2 14.1

女性　　　４０～４９歳Female 40-49 yrs 462 1.2 19.0 16.7 3.7 8.2 6.7 1.5 1.5 4.7 3.0 0.5 1.2 5.5 5.5 1.5 18.5 13.5

女性　　　５０～５９歳Female 50-59 yrs 389 2.7 10.5 9.3 2.1 3.0 3.0 0.3 1.2 6.0 3.6 0.3 2.7 7.2 6.0 2.4 21.9 15.9

女性　　　６０歳以上Female 60 yrs or older 479 1.7 13.9 12.0 3.6 2.9 2.6 0.2 1.2 4.1 1.9 0.5 2.2 4.1 3.4 1.9 15.4 11.1

関東 Kanto 3,038 2.3 16.3 13.9 3.8 6.9 6.2 0.9 2.0 5.3 2.9 0.9 2.2 6.4 5.9 2.0 18.1 10.2

関西 Kansai 1,235 1.9 12.5 10.4 2.9 7.6 7.3 0.4 1.6 5.5 3.2 0.9 2.6 6.8 5.9 2.7 21.5 15.4

東海 Tokai 713 1.1 14.2 12.1 4.0 4.6 4.6 0.1 1.3 6.6 4.7 0.7 2.1 6.3 5.7 1.7 16.9 14.6

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,821 1.6 15.4 13.3 3.4 5.5 5.1 0.6 1.2 6.0 3.4 0.5 2.8 5.4 4.9 1.8 19.0 9.6

社会人（子供２～６歳）Worker (child 2-6 yrs) 232 1.4 22.3 18.8 4.4 17.0 16.5 0.9 2.5 5.8 2.5 ― 3.3 5.6 4.9 1.2 14.1 4 .9

社会人（子供１歳以下）Worker (child 1 yr and under) 145 1.5 27.7 23.3 7.4 11.0 8.9 2.1 3.6 3.6 2.9 1.5 0.8 2.1 1.4 1.5 12 .4 14.4

社会人（既婚・子供無）Worker (married, no children) 1,003 2.8 20.5 17.5 5.2 6.6 6.2 0.5 3.0 4.6 3.0 0.4 1.9 6.0 5.5 1.8 15.2 9.3

社会人（独身） Worker (unmarried) 1,537 2.3 10 .0 8.0 2.9 6.6 6.0 0.8 1.6 5.7 3.3 1.4 2.0 9.1 8.1 3.1 22.3 16.6

独身男性 Unmarried male 828 2.0 10.4 9.0 2.1 6.1 5.7 0.7 1.3 8.5 5.0 2.1 3.2 10.0 8.7 4.1 21.4 11.7

独身女性２０・３０代 Unmarried female 20s/30s 695 2.4 8 .4 6 .5 2.9 7.6 7.1 0.5 1.7 3.3 1.9 1.3 0.6 6.8 6.7 1.9 22.9 22.5

独身女性４０代以上 Unmarried female 40s and over 256 1.8 9 .9 7 .7 2.7 5.0 3.6 1.4 1.4 3.2 1.4 0.5 1.4 7.3 5.9 1.8 19.5 19.5

学生 Student 248 1.3 7 .4 7 .4 ― 5.7 5.7 ― 0.9 5.3 2.7 2.7 1.3 3.9 3.9 1.3 17.6 19.3

ライト Light 852 1.5 17.2 13.5 4.8 8.3 7.7 0.7 1.9 3.1 2.2 0.4 0.7 3.2 2.6 1.0 19.4 10.0

ミドル Middle 1,253 1.3 13.4 11.8 2.4 8.2 7.8 0.4 1.5 4.4 2.2 0.6 1.8 5.7 5.2 1.5 19.9 11.7

ヘビー Heavy 2,881 2.5 15.1 12.9 3.8 5.7 5.1 0.8 1.9 6.8 4.0 1.1 3.0 7.8 7.1 2.8 18.1 13.0

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

TOTAL2017 survey total 4,986 22.6 5.6 1.0 1.2 5.8 2.2 0.1 0.5 2.4 2.9 4.5 1.1 2.5 5.3 4.1 1.5 34.7 41.2 45.5

2016 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

男性 Male 2,558 23.8 5.6 1.2 1.5 7.9 1.8 0.1 0.7 2.6 3.4 3.8 1.1 2.8 5.4 4.4 1.4 33.6 43.2 44.2

女性 Female 2,428 21.3 5.6 0.8 1.0 3.6 2.6 ― 0.3 2.2 2.3 5.3 1.1 2.1 5.2 3.8 1.5 35.9 39.0 46.8

男性　　　１８～２９歳Male 18-29 yrs 363 18.3 5.2 0.9 0.9 4.0 1.8 ― 1.2 2.1 3.4 2.4 0.6 3.7 6.4 5.5 1.5 33.9 41.9 44.0

男性　　　３０～３９歳Male 30-39 yrs 502 21.8 4.7 1.1 1.9 7.4 3.2 ― 0.7 1.4 3.5 2.5 0.4 1.9 4.7 4.2 0.9 31.3 43.9 44.6

男性　　　４０～４９歳Male 40-49 yrs 633 25.1 4.9 1.6 1.6 8.3 1.2 0.1 0.4 3.3 3.7 3.9 1.1 2.4 6.0 5.0 1.6 29 .3 44.4 45.2

男性　　　５０～５９歳Male 50-59 yrs 459 29.5 8.1 1.5 1.5 10.7 2.1 ― 1.1 3.9 5.2 3.3 1.5 2.0 4.9 3.3 2.3 29 .5 44.1 48.4

男性　　　６０歳以上Male 60 yrs or older 601 23.2 5.5 1.1 1.2 7.9 0.9 0.2 0.4 2.3 1.8 6.0 1.8 4.0 5.1 4.2 1.1 43.1 41.5 39 .6

女性　　　１８～２９歳Female 18-29 yrs 615 19.6 5.3 0.5 0.9 3.0 2.8 ― 0.2 1.9 3.7 4.2 0.9 1.4 6.7 5.8 1.1 31.5 35 .6 54.0

女性　　　３０～３９歳Female 30-39 yrs 483 21.3 5.1 1.6 1.2 3.0 2.8 ― ― 2.3 3.5 3.9 0.5 1.4 4.2 3.5 0.9 30.8 37.5 50.5

女性　　　４０～４９歳Female 40-49 yrs 462 23.4 7.2 1.0 1.7 5.2 2.5 ― 0.7 2.2 1.2 5.2 1.5 2.5 3.2 2.2 1.0 31.4 46.1 44.9

女性　　　５０～５９歳Female 50-59 yrs 389 22.5 7.8 0.6 0.9 3.6 2.7 0.3 ― 2.7 1.2 4.8 0.6 3.0 5.4 3.6 1.8 38.4 36.9 46.5

女性　　　６０歳以上Female 60 yrs or older 479 20.4 3.1 0.2 0.5 3.6 2.2 ― 0.5 1.9 1.4 8.7 1.9 2.6 6.0 3.1 3.1 49.0 39.9 36 .1

関東 Kanto 3,038 22.1 5.3 0.9 1.1 5.0 2.2 0.1 0.5 2.5 3.5 5.0 0.9 2.7 4.7 3.7 1.2 36.8 41.2 43.9

関西 Kansai 1,235 21.9 5.1 1.3 1.1 6.0 2.5 ― 0.5 2.4 1.8 3.8 1.3 2.0 6.4 4.7 2.1 32.8 38.9 50.1

東海 Tokai 713 26.1 7.8 0.9 2.1 8.9 1.4 0.2 0.4 2.3 2.2 4.0 1.4 2.2 5.9 4.6 1.4 29 .4 45.2 44.2

社会人（子供７歳以上）Worker (child 7 yrs and over) 1,821 22.4 5.4 0.8 1.0 6.1 2.0 ― 0.4 2.0 1.7 5.2 1.5 2.6 5.2 3.8 1.6 35.7 42.0 42.0

社会人（子供２～６歳）Worker (child 2-6 yrs) 232 21.7 4.1 1.2 1.2 3.6 2.6 ― 0.4 1.5 4.2 4.2 ― 0.7 6.4 5.3 1.1 18 .8 45.4 48.9

社会人（子供１歳以下）Worker (child 1 yr and under) 145 17.7 3.5 2.1 ― 4.1 1.4 ― ― 0.8 5.0 1.6 1.3 ― 6.5 5.7 0.7 25 .7 45.1 42.5

社会人（既婚・子供無）Worker (married, no children) 1,003 21.5 5.7 1.1 0.9 4.3 2.6 0.2 0.4 2.5 1.9 4.8 0.5 1.1 5.0 3.9 1.4 37.1 46.5 38 .6

社会人（独身） Worker (unmarried) 1,537 24.2 6.0 1.0 1.9 7.2 2.1 0.1 0.7 3.2 4.4 3.7 1.0 3.7 5.3 4.1 1.8 34.5 37.0 53.2

独身男性 Unmarried male 828 27.4 6.7 1.2 2.3 10.3 1.9 0.1 1.4 3.5 5.2 2.9 1.4 4.3 5.4 4.7 1.4 35.7 40.4 49.9

独身女性２０・３０代 Unmarried female 20s/30s 695 20.5 5.4 0.8 1.3 3.2 2.2 ― 0.2 2.5 3.9 4.7 0.8 2.2 5.7 4.6 1.4 33.2 32 .1 58.1

独身女性４０代以上 Unmarried female 40s and over 256 22.6 6.4 1.4 1.4 5.0 2.7 ― ― 3.2 2.7 5.4 0.9 4.5 4.1 2.3 2.3 38.9 36 .2 48.0

学生 Student 248 22.4 6.6 1.3 0.9 4.0 2.2 ― 0.9 1.8 4.3 5.7 1.3 2.2 5.6 5.6 ― 40.1 33 .5 49.3

ライト Light 852 16 .1 4.4 1.1 0.8 3.5 1.0 ― ― 0.8 3.2 2.4 0.5 0.9 4.2 3.1 1.0 24 .5 36.3 44.8

ミドル Middle 1,253 18.7 4.9 0.5 0.5 4.2 2.7 ― 0.6 1.5 2.8 3.0 0.6 1.0 4.1 3.6 0.7 29 .3 34 .7 48.7

ヘビー Heavy 2,881 26.3 6.3 1.2 1.7 7.2 2.3 0.1 0.6 3.3 2.9 5.8 1.5 3.5 6.2 4.6 2.0 40.1 45.5 44.3



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



19

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

2. Destinations in 2016 (3) (last destination)

（％）

UK (n=123) 64.9 (n=132) 61.7France (n=150) 72.8 (n=196) 53.7Germany (n=114) 56.1 (n=150) 46.9Spain (n=101) 30.7 (n=121) 26.1Italy (n=182) 48.9 (n=205) 49.7Other countries in western Europe (n=156) 69.4 (n=190) 60.7Greece (n=9) ― (n=14) ―Countries of eastern Europe (n=84) 45.9 (n=90) 53.3Countries of northern Europe (n=68) 33.2 (n=65) 30.6Turkey (n=9) 49.2 (n=23) 27.1Morocco (n=12) ― (n=12) ―Egypt (n=15) 21.5 (n=1) 48.1Dubai (n=19) 20.9 (n=21) 21.4Kenya (n=0) ― (n=1) ―Other Middle East or Africa (n=22) 47.9 (n=17) 66.3USA east (n=148) 62.2 (n=150) 50.2USA west (n=177) 61.5 (n=180) 68.9USA south (n=50) 50.6 (n=44) 45.9Canada (n=90) 50.7 (n=73) 47.3Alaska (n=1) ― (n=3) 26.4Mexico (n=24) 20.4 (n=15) 40.2Jamaica (n=2) ― (n=0) ―Caribbean islands (n=15) 32.6 (n=7) 13.1Other Central/South America (n=30) 30.9 (n=25) 30.6Hawaii (Oahu) (n=538) 70.0 (n=507) 70.3Hawaii (other than Oahu) (n=133) 59.6 (n=121) 59.6Guam (n=241) 61.3 (n=271) 58.7Saipan (n=27) 57.6 (n=32) 49.2Palau (n=20) 30.3 (n=14) 50.6Other Micronesia (n=5) 44.1 (n=4) 46.7Fiji (n=1) ― (n=2) ―Tahiti (n=7) 28.2 (n=6) 15.5New Caledonia (n=12) 6.8 (n=4) ―Maldives (n=28) 39.1 (n=18) 22.5Other Islands in South Pacific of Indian Ocean (n=5) 20.3 (n=2) 44.8Shanghai (n=98) 52.5 (n=63) 68.6Beijing (n=20) 39.4 (n=23) 56.2Other China (n=60) 69.8 (n=73) 74.5Hong Kong (n=183) 59.4 (n=158) 62.7Macau (n=49) 38.2 (n=54) 48.0Taiwan (n=699) 50.4 (n=579) 53.1Korea (n=452) 77.5 (n=340) 81.8Singapore (n=178) 38.9 (n=200) 48.5Phuket (n=27) 36.5 (n=37) 37.5Thai beaches (other than Phuket) (n=31) 52.9 (n=27) 69.3Thailand (other than beach resorts) (n=204) 67.4 (n=211) 70.5Bali (n=68) 41.9 (n=86) 37.4Indonesian beaches (other than Bali) (n=1) ― (n=7) 60.5Indonesia (other than beach resorts) (n=9) 11.6 (n=11) 40.8Malaysian beaches (n=20) 49.8 (n=25) 38.8Malaysia (other than beach resorts) (n=39) 59.2 (n=62) 40.0Cebu Island (n=54) 19.3 (n=36) 15.8Philippine beaches (other than Cebu Island) (n=12) 33.3 (n=16) 37.5Philippines (other than beach resorts) (n=50) 64.3 (n=28) 80.1Vietnam cities (Ho Chi Minh, Hanoi) (n=104) 31.1 (n=119) 29.1Vietnam beaches (n=28) 26.3 (n=33) 24.7Vietnam (other than cities and beach resorts) (n=7) 36.9 (n=22) 14.3Cambodia (n=34) 12.8 (n=53) 15.1India (n=27) 19.4 (n=28) 46.6Sri Lanka (n=13) 8.8 (n=12) 16.1Other placesin Asia (n=38) 49.5 (n=24) 57.5Australia (n=151) 40.0 (n=129) 49.8New Zealand (n=45) 39.2 (n=36) 26.8Other Oceania (n=4) ― (n=5) 31.9

†Reference data for areas with samples of less than 30

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

Canada or

Alaska

Repeat Rate for Last

Travel Destination in

2017

Repeat Rate for Last

Travel Destination in

2016

Europe

Middle East

or Africa

USA (excluding

Hawaii and Alaska)

Southeast Asia

Other places

in Asia

Oceania

Central/South

America

or

Caribbean

Hawaii

Guam or

Saipan

South Pacific

islands or other

islands

China (excluding

Hong Kong and

Macau)

Hong Kong or

Macau

0 20 40 60 80 100

Repeat Rate for Last Travel Destination in 2017

Repeat Rate for Last Travel Destination in 2016



（％）

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

2017 survey total 4,986 61.2 31.8 41.6 31.6 25.1 39.2 29.5 26.7 21.4 13.5 16.5 51.5 31.3 41.0 14.0 24.3 23.6 2.9

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

UK 123 100.0 100.0 68.5 59.8 43.4 57.4 52.7 39.1 35.8 23.3 26.0 51.2 34.5 43.4 16.1 29.7 29.7 4.0

France 150 100.0 53.8 100.0 55.3 48.7 68.6 51.0 43.3 28.9 16.3 22.4 50.9 40.8 40.1 15.3 23.4 22.4 4.5

Germany 114 100.0 54.6 72.1 100.0 45.5 59.3 59.3 45.7 25.0 16.9 16.2 53.1 33.7 42.7 21.0 27.0 27.0 4.7

Spain 101 100.0 45.9 60.5 36.7 100.0 66.9 48.5 45.9 34.5 20.5 31.4 57.1 38.1 47.5 22.7 37.3 35.1 7.4

Italy 182 100.0 40.8 59.4 42.2 44.2 100.0 41.6 36.7 29.9 23.1 21.5 47.5 30.4 38.1 11.8 25.4 25.4 1.8

Other countries in western Europe 156 100.0 54.0 74.1 73.2 52.1 65.1 100.0 62.1 33.9 25.2 25.8 60.6 42.7 49.9 19.4 36.3 35.6 6.0

Other places in Europe 160 100.0 49.3 62.9 55.2 47.3 59.1 65.8 100.0 41.6 32.4 29.9 56.2 38.9 42.8 19.5 35.3 34.6 3.9

Other Middle East or Africa 65 87.9 49.0 64.8 55.6 52.4 66.0 63.7 58.2 100.0 45.3 100.0 56.5 40.9 47.1 17.2 38.3 37.1 5.2

USA east 148 72.3 45.2 51.8 43.7 27.3 45.3 39.7 34.0 23.7 14.9 20.1 100.0 100.0 60.7 24.9 38.0 37.4 2.5

USA west 177 61.3 35.1 47.5 32.8 26.5 35.8 26.3 29.5 22.3 10.0 19.2 100.0 43.2 100.0 29.2 34.8 32.6 8.8

USA south 50 59.5 28.8 38.7 41.9 21.1 39.2 29.7 25.0 18.3 4 .4 18.3 100.0 48.7 66.5 100.0 28.9 28.9 8.3

Canada 90 69.6 32.4 50.9 43.6 31.2 46.8 39.8 39.1 21.5 11.8 19.0 73.1 46.8 54.6 15.8 100.0 100.0 6.7

Central/South America or Caribbean 66 77.8 44.1 57.6 36.7 36.8 53.4 38.5 52.0 45.5 27.1 39.9 60.9 31.9 51.3 30.3 36.3 36.3 4.6

Hawaii (Oahu) 538 45 .9 21 .0 30 .0 19 .4 16 .0 29 .8 16 .8 15 .1 11 .2 6 .1 8 .2 45 .3 25 .3 34 .9 11.9 17 .2 16 .3 2.0

Hawaii (other than Oahu) 133 53 .0 23 .9 34 .7 25 .4 18 .0 32 .5 20 .2 20 .2 11 .0 3 .1 9 .4 45 .8 28.7 37.0 14.5 21.6 20.8 1.6

Guam 241 40 .9 18 .8 23 .8 14 .9 9 .5 22 .9 13 .1 11 .0 9 .9 5 .4 7 .1 36 .2 19 .5 29 .3 7 .2 16 .0 15 .3 1.7

Saipan 27 48.0 29.7 32.4 17.7 15.3 22.5 14.5 15.7 17.7 8.4 17.7 44.9 37.0 33.8 8.4 15.6 15.6 4.2

South Pacific islands or other islands 78 55 .0 27.2 39.6 23 .3 18 .9 37.8 29.0 14 .9 18.1 7 .3 13.7 50.2 29.3 36 .0 18.2 19.8 18.8 3.5

Shanghai 98 50 .9 22 .3 31 .1 22 .3 13 .7 25 .2 17 .8 16 .4 19.0 8 .2 19.0 53.2 30.6 36.3 9.3 15 .2 14 .5 0.8

Beijing 20 49.7 20.9 45.6 29.9 15.4 27.2 24.8 20.9 20.9 9.6 16.8 55.1 33.2 41.1 15.9 10.5 ― 10.5

Other China (exc. Hong Kong / Macau) 60 53 .1 22 .0 24 .8 27.3 19 .0 32 .6 27.6 26.2 29.6 24.5 18.7 40 .1 29.7 33 .3 1 .3 21.0 21.0 ―

Hong Kong 183 62.2 38.9 45.4 31.5 21.0 34.9 27.3 22.7 22.0 12.7 16.9 53.4 33.5 40.2 15.4 22.0 21.5 1.7

Macau 49 47 .3 30.3 38.1 27.1 19 .3 23 .0 23 .1 31.7 23.7 15.9 22.2 49.2 30.0 44.5 5 .5 26.6 26.6 4.7

Taiwan 699 54 .9 26 .8 35 .5 24 .4 19 .6 32 .6 22 .2 20 .0 17.6 11.8 12.6 44 .4 22 .9 35 .2 9.6 18 .3 17 .7 1.6

Korea 452 43 .8 20 .9 30 .3 22 .3 13 .3 26 .1 18 .7 16 .5 9 .6 5 .6 7 .3 38 .2 21 .7 29 .8 7 .7 17 .3 17 .3 1.3

Singapore 178 53 .1 28.6 37.8 23 .1 17 .5 35.0 21 .3 16 .2 13 .5 7 .3 9 .5 47.2 28.3 33 .2 10.7 21.9 21.3 2.8

Phuket 27 45.1 26.3 42.0 28.7 15.3 26.4 19.8 14.8 11.2 8.1 7.1 48.4 23.1 44.3 6.8 22.0 22.0 ―

Thai beaches (other than Phuket) 31 52 .2 23 .7 27 .1 20 .0 10 .8 23 .7 16 .8 9 .1 8 .8 5 .4 6 .1 51.3 17 .1 45.2 17.1 3 .7 3 .7 ―

Bangkok or other Thai cities 204 49 .3 26 .7 33 .7 26.7 19 .4 28 .1 23 .2 19 .0 18.9 13.5 14.7 52.3 30.1 46.1 14.6 19 .0 19.0 1.1

Bali 68 49 .4 22 .3 28 .9 19 .5 14 .9 37.5 16 .9 17 .0 18.5 11.0 13.7 48.1 32.4 40.9 9 .0 24.6 24.6 1.7

Malaysia 58 59.9 40.2 42.5 35.2 25.9 40.7 24.7 25.8 22.5 19.2 20.5 49.5 30.0 34 .2 19.4 18 .7 18.7 1.3

Philippines 114 37 .8 14 .4 21 .1 14 .4 9 .4 16 .6 12 .3 14 .8 17.9 8 .1 12.1 39 .3 17 .5 34 .9 4 .2 13 .9 13 .3 1.4

Vietnam 136 58.8 26 .5 41.4 36.6 34.9 41.4 34.0 27.2 27.9 21.0 20.6 44 .5 24 .8 35 .4 10.1 20.6 20.6 0.9

Cambodia 34 64.3 23 .4 38.3 28.2 33.7 53.3 36.0 26.9 29.7 17.2 27.5 43 .4 32.0 36.6 5 .6 27.3 27.3 ―

Other places in Asia 78 78.4 38.2 50.6 40.1 42.2 52.7 47.4 50.3 48.3 36.2 40.4 61.7 39.6 47.6 16.7 34.5 31.8 10.0

Australia 151 53 .0 31.4 38.6 28.6 21.0 32 .7 28.1 23.6 17.8 10.7 12.3 53.7 36.5 42.6 14.8 30.6 28.8 4.7

New Zealand or other Oceania 48 69.5 45.8 52.7 53.4 40.7 56.4 41.5 38.3 32.1 25.8 23.5 62.2 48.7 50.0 25.9 46.3 46.3 ―

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 MacauHong Kong Macau Taiwan Korea

2017 survey total 4,986 14.5 56.4 50.7 28.3 44.8 40.9 19.3 12.9 36.3 25.8 19.5 19.3 41.9 41.2 22.2 51.9 51.2

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

UK 123 14.1 43 .0 42 .1 25.4 34 .5 30 .9 13 .5 11.5 33.2 23.9 22.6 20.3 42.2 42.2 21.6 35 .4 37 .5

France 150 16.1 51.9 48.4 30.8 38 .1 34 .2 20.1 8.1 33.7 24.1 19.2 16.8 40.7 40.7 24.5 40 .8 45 .5

Germany 114 10.0 41 .1 35 .3 22 .6 37 .7 32 .7 16.8 8.3 30 .4 17 .7 14 .0 15.4 34 .3 32 .8 21.5 40 .2 39 .3

Spain 101 26.1 57.2 54.5 32.8 35 .1 31 .8 16.4 9.9 35.4 24.6 20.9 19.1 42.7 42.7 27.0 53.7 48.3

Italy 182 16.0 50 .3 43 .9 27.1 36 .7 28 .1 18.5 9.0 35.7 27.2 20.3 20.8 40.7 40.7 22.8 44 .1 48.1

Other countries in western Europe 156 18.2 52.8 50.7 26.2 38 .3 32 .2 15.6 14.4 42.5 29.8 27.9 24.5 47.7 47.7 29.1 56.4 51.1

Other places in Europe 160 23.3 48 .5 45 .4 30.1 37 .7 32 .0 23.9 19.4 42.5 29.0 28.2 27.4 45.6 43.9 30.0 52.2 48.1

Other Middle East or Africa 65 34.6 54.8 41 .7 41.2 34 .8 34 .8 21.3 18.4 48.0 30.6 26.0 34.1 42.6 42.6 27.8 46 .1 55.0

USA east 148 22.2 60.6 53.5 31.9 40.0 37.4 17.9 12.8 37.0 27.3 20.8 18.8 42.7 41.9 26.3 39 .2 44 .8

USA west 177 18.3 54.1 50.2 31.1 34 .7 32 .9 14.7 9.6 32.9 18 .3 20.5 14.9 35 .8 35 .3 21.3 37 .8 36 .9

USA south 50 38.8 68.7 61.8 34.0 58.1 51.9 19.5 28.3 31 .3 24.5 19.9 14 .3 37.1 37.1 12 .0 27 .1 34 .3

Canada 90 16.9 47 .4 41 .6 23.7 37 .9 34 .2 21.3 11.4 38.5 29.1 19.2 23.1 30 .3 27 .8 22.7 44 .1 41 .7

Central/South America or Caribbean 66 100.0 51.6 46.8 27.5 36 .9 35 .1 13 .1 12.8 44.1 33.9 33.0 28.5 31 .5 31 .5 16 .4 33 .7 37 .1

Hawaii (Oahu) 538 9 .3 100.0 100.0 40.9 48.9 45.1 20.2 10.7 21 .8 12 .9 12 .5 10 .2 33 .9 33 .5 15 .5 31 .7 38 .1

Hawaii (other than Oahu) 133 8 .5 100.0 51.5 100.0 48.6 46.3 23.8 11.5 23 .4 18 .6 12 .9 12 .3 33 .1 32 .5 17 .1 29 .3 45 .4

Guam 241 9.8 56.9 49.3 26.6 100.0 100.0 29.5 14.2 21 .6 16 .1 9 .8 5 .5 32 .4 31 .6 11 .6 29 .0 40 .2

Saipan 27 11.6 51.4 44.2 33.4 100.0 65.0 100.0 29.1 33.1 17.7 21.9 14.2 45.1 45.1 23.7 37.0 55.1

South Pacific islands or other islands 78 19.0 56.4 45 .4 23.4 56.0 50.3 31.1 100.0 25 .8 17 .1 13 .8 15.1 33 .7 33 .7 15 .8 38 .7 35 .0

Shanghai 98 6 .2 45 .4 40 .1 12 .3 40.9 37.4 13 .4 7 .0 100.0 100.0 32.1 45.3 52.6 51.5 30.1 47.7 51.8

Beijing 20 ― 35.0 25.5 20.1 36.4 36.4 15.0 15.0 100.0 59.0 100.0 48.7 39.1 39.1 33.8 35.1 44.5

Other China (exc. Hong Kong / Macau) 60 10.0 38 .6 32 .3 19 .8 17 .1 15 .7 5 .8 ― 100.0 61.0 50.1 100.0 44.9 44.9 29.2 52.2 52.4

Hong Kong 183 11.5 47 .7 42 .4 24.9 45.1 40.3 20.5 11.4 47.0 33.7 22.2 20.6 100.0 100.0 55.4 60.0 55.1

Macau 49 16.6 45 .5 41 .6 19 .9 56.7 48.8 35.1 10.9 47.5 30.6 22.7 23.1 100.0 84.6 100.0 58.1 58.0

Taiwan 699 9 .5 45 .3 40 .7 21 .0 37 .6 34 .1 14 .3 8.3 35.7 25.2 18.3 18.8 40.6 39.9 20.3 100.0 50.1

Korea 452 10.3 50 .2 44 .2 25.4 39 .4 36.7 16.7 8.0 29 .4 19 .9 13 .1 13 .7 36 .1 35 .6 16 .3 45 .5 100.0

Singapore 178 8 .0 46 .1 40 .8 20 .6 42.2 37.9 20.8 13.9 34.0 26.2 19.7 16.9 40.3 39.7 22.0 51.1 50.0

Phuket 27 16.9 59.2 59.2 37.3 67.1 59.6 39.7 39.0 22.6 22.6 18.1 14.2 32.7 28.5 11.0 37.4 67.2

Thai beaches (other than Phuket) 31 16.5 44 .6 42 .0 20 .8 42.2 36.1 23.4 17.4 44.1 28.1 15.8 18.0 48.3 48.3 25.2 62.2 42 .6

Bangkok or other Thai cities 204 16.7 47 .2 44 .7 20 .4 43.3 38.9 18.2 10.1 46.5 32.0 26.1 30.4 47.3 46.5 23.7 58.3 55.0

Bali 68 13.4 60.5 56.2 36.6 57.1 47.5 25.9 25.8 33.9 28.0 13 .8 16.5 45.3 45.3 13 .3 47.4 54.9

Malaysia 58 15.2 62.2 56.4 32.5 55.5 50.2 17.6 20.1 41.2 34.0 23.4 19.2 50.5 50.5 21.6 54.1 52.2

Philippines 114 8 .1 41 .4 38 .0 12 .4 47.1 43.7 17.5 16.0 30 .3 23.9 10 .0 12 .8 27 .1 27 .1 13 .3 33 .9 37 .5

Vietnam 136 17.3 53.0 46.3 28.0 43.6 39.9 21.5 15.5 50.8 31.5 26.7 24.0 53.7 52.5 30.1 66.5 50.0

Cambodia 34 12.1 48 .7 42 .1 26.9 46.9 41.0 23.7 18.4 42.6 26.8 28.4 31.0 42.1 38.9 30.4 70.4 43 .5

Other places in Asia 78 32.8 40 .0 37 .1 17 .3 31 .2 28 .5 18.0 19.6 67.9 52.1 44.9 44.7 54.0 52.9 34.5 64.1 63.3

Australia 151 15.3 56.8 51.2 25.9 49.8 44.8 21.6 14.9 25 .9 18 .0 13 .2 10 .6 37.9 37.2 18.6 43 .3 42 .5

New Zealand or other Oceania 48 20.4 52.9 46.6 42.0 41.0 33 .2 22.2 13.3 32.9 23.4 16.9 20.9 39.3 39.3 12 .5 51.6 46.7

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

2017 survey total 4,986 63.9 38.0 12.0 9.4 29.6 20.8 4.3 8.7 21.6 14.3 21.6 12.4 11.9 37.9 34.2 13.1

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

UK 123 50 .8 32 .5 7.9 9.1 19 .2 13 .2 1.3 9.6 13 .4 10.2 17.4 12.0 8.3 35.1 32.6 14.3

France 150 54 .9 41.0 12.5 11.8 23 .2 19.6 4.8 10.3 20.7 8 .6 17.5 7.8 8.8 30 .6 25 .6 16.9

Germany 114 56 .5 34.1 14.6 7.6 25.4 19.2 2.7 4.1 20.4 9 .2 19.1 11.8 8.4 27 .7 25 .3 10.0

Spain 101 59.5 40.0 12.1 5.6 23 .7 21.0 4.8 9.6 28.4 9 .2 26.6 15.3 12.4 44.0 38.1 16.5

Italy 182 54 .5 33.7 8.1 5.7 25.2 17.1 3.8 12.2 21.0 12.2 23.9 12.4 12.8 33.3 30.4 13.2

Other countries in western Europe 156 70.8 50.4 12.7 8.0 32.6 22.8 4.1 9.1 24.7 15.2 25.1 17.1 14.6 50.4 43.5 23.0

Other places in Europe 160 71.1 45.9 12.8 8.0 36.2 21.7 4.7 13.0 30.1 15.4 27.9 21.4 26.2 51.4 46.6 27.4

Other Middle East or Africa 65 83.3 48.5 13.2 12.3 39.8 27.5 11.3 25.3 37.4 20.5 29.2 26.4 28.6 48.5 39.3 24.2

USA east 148 53 .4 35.8 12.1 4.5 18 .1 18.6 2.9 5.4 21.5 8 .9 12 .4 5 .9 6 .2 37.5 35.1 11.6

USA west 177 52 .6 31 .8 10.0 3 .5 20 .6 10 .9 3.0 5.9 15 .3 12.9 15 .8 9.4 8.6 44.9 40.8 15.0

USA south 50 58 .3 39.8 9.7 6.1 23 .8 32.7 3.6 8.4 15 .6 15.7 14 .5 2 .3 6 .7 45.3 43.2 14.5

Canada 90 60.4 31 .7 12.0 7.6 29.3 13 .0 3.5 10.8 25.7 12.6 20.9 6 .2 10.0 46.6 39.8 20.8

Central/South America or Caribbean 66 71.4 44.1 17.8 12.9 37.2 33.9 9.4 14.0 28.0 20.1 23.9 28.5 27.2 48.5 43.7 17.4

Hawaii (Oahu) 538 46 .1 26 .5 11.2 6.2 17 .7 16.7 2.7 5.9 12 .9 8 .4 11 .5 6 .5 5 .4 32 .0 30.0 5 .4

Hawaii (other than Oahu) 133 48 .2 29 .0 7.1 6.5 16 .4 14 .7 3.9 6.2 9 .8 9 .1 10 .5 7.9 4 .7 35.2 33.2 7 .9

Guam 241 48 .9 24 .2 8.7 8.1 21 .1 17.0 2.6 5.2 14 .2 11.4 10 .0 7 .0 3 .7 31 .2 29.6 5 .1

Saipan 27 67.2 34.7 17.7 3.2 25.3 28.5 4.2 4.0 8.2 19.4 15.4 3.0 4.2 48.1 44.1 4.0

South Pacific islands or other islands 78 67.7 39.9 20.7 11.9 31.5 35.6 10.3 9.3 25.7 18.7 14 .5 11.8 13.0 51.5 44.2 19.7

Shanghai 98 53 .6 30 .8 2 .8 4 .2 26.9 17.4 5.2 9.2 15 .6 6 .2 20.2 9.9 6 .2 22 .6 19 .5 8.5

Beijing 20 60.2 39.7 5.3 10.7 36.6 10.8 4.1 19.3 33.8 10.8 21.7 16.4 ― 34.6 34.6 ―

Other China (exc. Hong Kong / Macau) 60 60.8 31 .6 7.7 5.5 22 .3 13 .6 ― 6.4 22.5 8 .1 21.1 11.7 7.1 27 .3 27 .3 10.2

Hong Kong 183 68.4 46.9 14.0 7.7 33.7 20.9 6.0 5.7 25.9 17.8 22.2 11.1 9.6 35.5 32.7 13.3

Macau 49 67.7 48.5 23.0 15.2 34.5 13 .9 5.6 5.5 31.4 16.6 21.9 16.6 18.2 51.4 49.1 9.9

Taiwan 699 55 .8 35.3 7.2 7.1 27.2 16.6 3.6 6.5 19.3 9 .2 17.9 9.3 8.0 30 .5 26 .9 10.3

Korea 452 52 .3 33.3 7.3 6.6 23 .3 15 .6 3.0 6.6 16 .5 8 .5 15 .6 7 .4 5 .5 28 .7 25 .0 9.3

Singapore 178 100.0 100.0 15.6 7.6 24.9 18.7 5.2 11.0 27.7 13.1 18.0 12.6 8.4 42.8 38.7 10.3

Phuket 27 100.0 52.6 100.0 18.1 48.5 40.5 8.1 13.9 33.9 27.8 29.1 6.8 22.1 32.5 29.7 15.4

Thai beaches (other than Phuket) 31 100.0 37.8 40.1 100.0 59.5 35.0 5.4 13.0 37.7 41.3 29.4 17.8 17.3 25 .5 21 .8 3 .7

Bangkok or other Thai cities 204 100.0 41.9 25.8 36.8 100.0 23.6 6.8 9.8 23.5 22.1 33.8 26.3 21.7 32 .6 28 .3 12.0

Bali 68 100.0 45.0 33.6 9.1 36.9 100.0 7.3 11.6 20.2 21.7 25.7 15.6 19.3 38.6 37.0 4 .4

Malaysia 58 100.0 49.6 22.0 21.4 45.8 33.3 13.9 25.3 100.0 15.1 37.6 20.1 31.3 46.8 42.9 21.4

Philippines 114 100.0 23 .6 8.8 10.8 20 .5 20.7 1.7 6.2 19.9 100.0 19.4 3 .1 9.0 24 .2 22 .4 5 .3

Vietnam 136 100.0 45.6 11.7 14.4 43.5 31.1 7.6 15.1 33.1 17.9 100.0 22.3 25.8 35.8 31.4 18.3

Cambodia 34 100.0 51.5 22.5 20.3 61.2 35.3 8.8 14.6 43.5 18.7 55.8 100.0 19.3 45.3 36.7 17.4

Other places in Asia 78 84.3 44.9 19.7 21.7 59.7 35.9 8.1 19.8 45.3 24.6 46.8 48.3 100.0 35.9 34.4 13.3

Australia 151 59.0 35.5 9.5 4.5 21 .2 22.4 4.7 7.5 24.2 10.1 19.7 11.3 6 .3 100.0 100.0 23.3

New Zealand or other Oceania 48 63.5 49.3 11.1 8.3 23 .2 25.0 6.9 9.6 16 .0 15.3 22.7 14.1 18.3 100.0 56.5 100.0

50.0 …Figures 5 or more points or higher than the 2017 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 2017 survey total are shaded. † Items with under 10 samples are not indicated in the table.

Last

destination

(middle

classification)

Canada or Alaska



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

Last

destination

(middle

classification)

Last

destination

(middle

classification)

20

【Reference】 Overseas destinations ever visited

■Overseas destinations ever visited: last destination in 2016 (Total/Multiple answers)



21

3. Triggers for Overseas Travel in 2016

■Triggers for overseas travel in 2016 (Total/Multiple answers)

Sample 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 fam

ily (fa

mily

trip)

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

so t

hat

I c

ould

affo

rd it

Holid

ay c

alenda

r w

ork

ed

out

well

at t

he

tim

e o

f tr

avel

Hobb

ies

or

sport

s

App

recia

ting

yen /

Depr

ecia

ting

yen

Hear

d ab

out

frie

nd/

acqu

ainta

nce w

ho

went

abro

ad

Mar

riag

e (ow

n o

r so

mebo

dy a

round

me)

Invi

ted

by friend/

acqu

ainta

nce/colle

ague

(gra

duat

ion t

rip,

em

ploye

e t

rip,

etc

.)

Serv

ice b

y LC

C (lo

w c

ost

car

rier)

Saf

ety

/hyg

iene o

f th

e d

est

inat

ion

Sav

ed

up

mile

s, m

iles

on t

he v

erg

e o

f

exp

irin

g

Bre

ak fro

m w

ork

or

term

inat

ion o

f

tem

pora

ry o

r pa

rt-tim

e jo

b, e

tc.

TV

pro

gram

Com

mem

ora

tive

dat

e /

anniv

ers

ary

of

fam

ily o

r fr

iend

Decre

ase in

the fuel s

urc

har

ge a

nd

oth

er

cost

s

Mag

azin

e o

r ar

ticle

/ a

d

Par

ticip

atio

n in

an e

vent

With a

new

job

/ c

han

ge in

job

in m

ind

Retire

ment

age (ow

n o

r sp

ouse

’s)

Abl

e t

o t

ake a

bre

ak fro

m p

arenting

Saw

socia

l medi

a of sh

ow

biz

pers

onal

ity

/

cele

brity

/ a

cqu

ainta

nce

Rom

antic r

ela

tionsh

ip /

Mar

riag

e h

unting

Job

tran

sfer

Loss

of ro

man

tic r

ela

tionsh

ip

Movi

ng

hom

e

Oth

er

None o

f th

e a

bove

2017 survey total 4,986 20.5 20.4 16.7 11.8 9.8 9.2 7.9 7.6 6.1 6.0 5.5 5.1 4.9 4.9 4.7 4.6 4.0 3.4 3.0 2.9 2.7 1.9 1.6 1.4 0.9 0.7 0.3 0.3 0.2 3.6 8.5

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

Male 2,558 18.8 20.8 14.4 8.8 8.3 9.9 7.8 9.0 7.7 5.3 5.7 4.5 6.4 4.8 5.7 5.1 4.2 3.1 3.5 3.1 2.3 1.9 2.3 0.9 0.7 0.8 0.4 0.3 0.2 3.1 9.7

Female 2,428 22.4 20.0 19.0 14.9 11.4 8.5 8.0 6.1 4.4 6.7 5.2 5.8 3.4 5.0 3.7 4.1 3.7 3.7 2.4 2.6 3.2 1.9 1.0 2.0 1.1 0.6 0.1 0.3 0.2 4.1 7.2

Male 18-29 yrs 363 6 .1 19.6 6 .7 12.5 4.9 11.9 7.0 8.9 9.8 9.8 12.8 10.1 8.3 3.1 1.8 2.8 2.8 1.5 2.4 2.1 1.2 5.5 ― ― 1.5 1.8 ― 0.6 ― 4.0 12.2

Male 30-39 yrs 502 12 .1 26.0 9 .8 8.3 5.3 11.8 8.4 7.7 12.3 5.8 13.5 6.2 8.4 4.9 6.0 5.4 3.5 3.0 4.0 2.6 3.3 3.2 0.2 0.7 1.4 1.8 0.9 ― 0.5 2.1 8.1

Male 40-49 yrs 633 20.1 27.7 13.9 7.9 6.6 10.0 11.7 9.7 7.5 6.0 1.4 2.9 6.6 4.3 5.9 7.0 4.9 3.5 3.8 2.9 2.2 1.1 0.5 0.4 0.9 0.7 0.7 0.7 0.4 2.2 8.8

Male 50-59 yrs 459 20.5 24.1 14.0 7.3 11.2 8.5 8.8 9.1 5.2 2.9 2.1 2.9 5.5 3.9 9.0 6.8 3.4 4.2 3.4 3.3 1.8 1.5 0.7 2.1 0.2 0.3 0.5 0.3 ― 2.0 11.1

Male 60 yrs or older 601 29.4 7 .4 23.8 9.0 12.5 8.3 3.0 9.2 4.6 3.2 2.1 2.8 3.9 7.0 5.1 3.0 5.6 2.6 3.5 4.0 2.5 ― 8.6 1.1 ― ― ― ― ― 5.1 9.5

Female 18-29 yrs 615 10 .3 26.0 12.9 20.4 10.6 9.6 8.8 5.8 5.5 8.7 10.6 12.6 3.9 3.7 1.4 4.8 1.8 2.5 0.9 1.4 3.9 4.4 ― 0.2 1.9 1.1 0.2 0.7 0.2 3.5 7.1

Female 30-39 yrs 483 21.8 24.5 13.4 13.0 10.4 6.0 9.7 7.4 4.6 7.9 9.3 4.2 5.1 3.5 4.2 5.1 5.1 3.9 2.1 2.3 2.5 1.6 0.2 0.7 1.4 0.7 0.2 0.5 0.5 2.5 9.0

Female 40-49 yrs 462 26.2 26.7 21.2 10.0 9.5 9.7 8.7 7.2 3.7 6.0 1.7 3.5 3.5 3.2 7.2 4.2 3.7 4.0 2.7 2.5 4.2 1.7 ― 1.7 1.2 0.5 ― ― ― 3.5 5.2

Female 50-59 yrs 389 25.8 15.6 24.9 11.4 14.1 7.8 9.6 6.0 3.9 4.8 0.6 3.0 3.0 5.4 3.9 4.5 2.1 6.3 3.0 3.3 3.9 0.6 1.5 6.9 ― 0.3 ― ― 0.3 6.6 4.8

Female 60 yrs or older 479 32.0 4 .8 25.5 17.5 13.2 9.1 3.4 4.1 3.6 5.3 1.2 3.1 1.4 9.6 2.6 1.9 6.0 2.6 3.6 4.1 1.2 ― 3.4 2.2 0.2 ― ― ― ― 4.8 9.1

Kanto 3,038 21.0 21.3 16.0 10.3 10.3 9.4 8.0 8.4 6.3 5.9 5.4 4.7 4.2 5.1 5.6 4.9 4.1 3.4 3.3 2.9 3.1 1.9 1.8 1.5 0.7 0.6 0.3 0.3 0.2 3.7 8.9

Kansai 1,235 19.4 19.7 16.7 13.6 9.8 9.5 8.0 6.4 6.1 7.1 5.1 6.9 6.8 5.1 3.4 3.9 3.4 3.5 2.4 2.5 1.9 1.8 1.5 1.2 1.4 0.8 0.3 0.4 0.2 3.6 7.9

Tokai 713 20.4 17.9 19.1 14.8 8.0 8.0 7.5 6.1 5.1 4.3 6.2 4.2 4.7 3.9 3.5 4.6 4.3 3.0 2.5 3.3 2.5 1.9 1.4 1.4 0.7 0.8 0.2 0.2 ― 2.8 7.6

Worker (child 7 yrs and over) 1,821 23.6 12 .8 25.8 10.0 11.7 8.9 5.5 6.8 4.8 4.7 1.4 3.7 3.8 6.1 5.2 4.2 5.1 5.2 3.0 3.6 1.9 0.3 3.7 3.2 0.4 ― 0.2 ― 0.1 4.2 8.3

Worker (child 2-6 yrs) 232 15 .4 26.8 21.6 4 .4 15.5 8.1 10.3 5.2 12.1 8.4 1.9 3.5 5.7 3.6 7.0 6.2 5.7 5.3 2.1 3.7 2.8 4.1 ― 2.3 1.7 0.4 1.9 0.4 0.8 3.1 6.3

Worker (child 1 yr and under) 145 13 .8 21.6 15.0 6 .7 8.7 5.0 5.9 3.6 10.6 2.7 23.2 5.0 5.8 2.7 2.7 2.7 2.1 6.4 2.9 0.7 2.7 0.7 ― 2.0 1.5 0.7 ― 0.7 0.7 2.3 10.0

Worker (married, no children) 1,003 22.8 22.3 14.2 5 .0 7.5 7.6 9.3 7.1 5.4 3.8 19.4 2.1 3.6 4.1 5.1 3.8 2.9 2.1 2.8 1.9 2.4 1.4 0.6 0.1 0.8 0.6 0.2 0.1 0.2 3.5 6.8

Worker (unmarried) 1,537 19.0 27.7 7 .1 18.6 8.7 10.9 9.9 9.1 6.8 7.9 0.9 7.2 6.8 4.6 4.5 6.1 3.4 1.8 3.4 2.9 3.8 3.2 0.5 0.2 1.1 1.5 0.2 0.6 0.2 2.7 9.1

Unmarried male 828 16.1 26.3 5 .4 14.5 7.5 13.1 9.3 11.6 9.5 8.4 1.1 7.4 9.7 5.0 5.3 5.8 3.5 1.4 4.6 3.3 3.1 3.2 0.7 0.1 1.5 1.8 0.3 0.7 0.2 2.8 11.2

Unmarried female 20s/30s 695 15 .1 27.8 11.8 23.4 9.6 9.1 9.3 7.1 4.3 9.5 0.6 11.6 4.3 4.3 1.4 5.5 3.2 2.4 1.3 2.1 3.8 4.7 0.2 ― 1.6 1.1 0.2 0.8 ― 3.0 9.2

Unmarried female 40s and over 256 28.5 22.2 7 .7 19.5 10.0 10.0 10.9 6.8 2.7 6.8 ― 4.1 4.1 3.6 6.8 5.0 3.2 0.9 3.6 2.7 5.4 1.8 0.5 0.9 ― 1.4 ― ― 0.5 4.5 6.8

Student 248 7 .5 17.2 15.0 19.4 7.9 12.0 6.6 10.0 4.9 12.8 ― 17.2 6.2 4.0 0.4 2.2 3.1 0.9 1.3 1.3 3.1 5.8 ― ― 3.1 1.3 ― 0.9 ― 5.7 14.5

Light 852 2 .9 16.5 11 .4 12.3 4 .3 8.9 4.8 5.8 6.4 8.7 14.3 9.5 3.8 3.0 1.8 3.7 2.7 2.6 1.1 1.4 2.4 3.0 1.6 1.1 1.8 1.0 0.3 0.3 0.2 5.3 10.1

Middle 1,253 11 .3 23.0 16.8 13.8 7.6 10.6 7.1 6.7 6.7 6.7 6.4 6.5 5.5 4.4 2.1 4.7 4.2 3.6 1.8 2.4 2.6 2.5 1.9 1.5 0.8 0.8 0.4 0.4 0.2 2.9 7.2

Heavy 2,881 29.8 20.5 18.2 10.7 12.4 8.8 9.2 8.4 5.7 4.9 2.4 3.3 5.0 5.7 6.8 4.9 4.2 3.5 4.0 3.5 2.9 1.3 1.5 1.5 0.7 0.5 0.2 0.3 0.2 3.4 8.6



† "*":No applicable data

† In the prior (2016) survey, answers to the questions about "Saw social media of show biz personality / celebrity / acquaintance" was indicated as the answers to "Saw social media of show biz personality / celebrity"

Sex

Sex & age

Area of

residence

Life

stage

Number

of

trips taken

0

10

20

30

2017 survey total

2016 survey total

（％）



22

4. Style of Travel

■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

2017 survey total 4,986 28.4 15.4 14.3 11.4 10.3 6.5 5.0 3.4 5.3 17.7

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

Male 2,558 32.2 18.9 14.0 6 .3 10.9 4.3 6.4 2.7 4.3 16.8

Female 2,428 24.4 11.8 14.7 16.8 9.7 8.7 3.4 4.0 6.5 18.7

Male 18-29 yrs 363 16 .5 19.6 1 .2 11.6 21.7 11.3 11.0 1.2 5.8 2 .4

Male 30-39 yrs 502 26.4 18.5 14.6 6 .0 10.7 5.4 10.7 3.2 4.6 17.8

Male 40-49 yrs 633 21 .8 22.9 21.9 5 .9 8.5 5.3 6.4 2.8 4.5 24.7

Male 50-59 yrs 459 36.0 21.0 19.4 4 .1 10.1 1 .3 4.1 1.3 2.8 20.7

Male 60 yrs or older 601 54.4 13.2 8 .8 5 .5 7.6 0 .4 1.8 4.4 4.0 13.2

Female 18-29 yrs 615 14 .3 9 .4 2 .3 26.4 14.9 15.8 6.7 1.6 8.7 3 .9

Female 30-39 yrs 483 23 .1 14.8 12.7 18.3 6.7 10.6 4.2 5.1 4.4 17.8

Female 40-49 yrs 462 23 .2 12.5 24.9 10.0 8.0 9.2 3.2 4.7 4.2 29.7

Female 50-59 yrs 389 30.3 12.9 24.3 12.3 6.9 4.2 1.5 2.1 5.4 26.4

Female 60 yrs or older 479 35.1 10 .1 14.9 13.2 9.9 1 .0 0.2 7.0 8.7 21.9

Kanto 3,038 29.6 15.8 14.7 10.1 10.2 6.4 5.2 3.0 5.2 17.7

Kansai 1,235 25.9 14.9 14.5 13.8 10.4 6.9 4.8 3.2 5.6 17.7

Tokai 713 27.7 14.9 12.5 12.8 10.6 6.0 4.4 5.5 5.6 18.0

Worker (child 7 yrs and over) 1,821 33.1 10.5 27.8 6.6 8.7 1 .5 1.0 5.8 5.0 33.6

Worker (child 2-6 yrs) 232 4 .2 6 .8 61.8 3 .9 5 .1 1 .1 0.7 11.9 4.4 73.7

Worker (child 1 yr and under) 145 32.6 7 .0 25.6 3 .8 7.7 4.4 1.4 10.8 6.8 36.4

Worker (married, no children) 1,003 74.8 6 .4 0 .2 4 .3 3 .3 4.6 3.2 0.4 2.9 0 .6

Worker (unmarried) 1,537 0 .3 29.8 1 .7 22.1 15.0 12.0 12.1 0.7 6.4 2 .3

Unmarried male 828 0 .5 37.5 0 .4 12.1 18.7 10.0 15.5 0.7 4.7 1 .1

Unmarried female 20s/30s 695 0 .2 15.9 0 .8 32.2 15.6 18.3 7.1 0.8 9.1 1 .6

Unmarried female 40s and over 256 ― 25.3 6 .8 26.7 13.1 11.8 5.9 1.4 9.0 8 .2

Student 248 0 .3 12.3 0 .4 21.1 27.4 22.5 3.1 1.8 11.0 2 .2

Light 852 24.9 10 .4 10.3 13.2 15.5 7.6 6.8 2.4 8.9 12 .7

Middle 1,253 24.2 11.8 15.5 14.0 12.0 7.6 5.7 3.9 5.3 19.4

Heavy 2,881 31.3 18.5 15.0 9.8 8.0 5.6 4.1 3.4 4.3 18.5



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

Area of

residence

Sex

Life

stage

Sex & age

Number

of

trips taken

0

10

20

30

40

2017 survey total

2016 survey total

（％）



23

5. Number of Accompanying Travelers

■Number of accompanying travelers (Total/Single answer)

Sample

Alone 2 3 4 5 or more2017

survey

2016

survey

2016comparison(difference)

2017 survey total 4,986 15.8 51.4 11.7 9.8 11.3 3.4 0.3

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

Male 2,558 19.1 47.1 11.3 9.7 12.7 3.6 3.3 0.3

Female 2,428 12.2 55.9 12.0 10.0 9.8 3.3 2.9 0.4

Male 18-29 yrs 363 19.6 42 .2 11.0 9.8 17.4 4.1 4.4 ▲ 0.3

Male 30-39 yrs 502 18.6 45 .3 11.8 9.1 15.1 4.2 2.9 1.3

Male 40-49 yrs 633 23.1 37 .6 15.1 12.6 11.6 3.4 3.6 ▲ 0.2

Male 50-59 yrs 459 21.3 45 .6 13.4 11.4 8.3 2.9 3.4 ▲ 0.5

Male 60 yrs or older 601 13.4 62.9 5 .6 5.6 12.5 3.6 2.7 0.9

Female 18-29 yrs 615 9 .6 58.4 12.7 6.9 12.4 4.4 3.4 1.0

Female 30-39 yrs 483 15.5 53.0 12.5 9.0 10.0 2.9 2.8 0.1

Female 40-49 yrs 462 13.0 47.1 15.0 16.0 9.0 2.9 2.6 0.3

Female 50-59 yrs 389 13.2 61.0 9.0 12.0 4 .8 2.6 2.7 ▲ 0.1

Female 60 yrs or older 479 10 .8 60.1 10.3 7.7 11.1 3.0 3.0 0.0

Kanto 3,038 16.1 51.3 11.4 10.2 11.0 3.5 3.0 0.5

Kansai 1,235 15.3 52.0 12.3 9.4 11.0 3.3 3.6 ▲ 0.3

Tokai 713 15.1 50.9 12.0 9.3 12.8 3.4 3.1 0.3

Worker (child 7 yrs and over) 1,821 10.9 47.9 14.5 14.3 12.4 3.5 3.2 0.3

Worker (child 2-6 yrs) 232 6 .8 10 .2 32.8 23.8 26.4 4.9 3.9 1.0

Worker (child 1 yr and under) 145 7 .7 41 .6 21.1 11.9 17.7 4.6 3.8 0.8

Worker (married, no children) 1,003 6 .4 83.7 2 .1 3 .3 4 .5 2.6 2.3 0.3

Worker (unmarried) 1,537 30.4 44 .4 10.1 6.1 9.1 3.1 3.1 0.0

Unmarried male 828 38.0 33 .0 9.1 7.2 12.8 3.4 3.6 ▲ 0.2

Unmarried female 20s/30s 695 16.4 52.1 12.6 7.3 11.6 4.1 3.5 0.6

Unmarried female 40s and over 256 25.8 51.6 9.9 5.4 7.2 2.6 2.5 0.1

Student 248 12.3 34 .7 14.1 12.4 26.5 6.7 5.7 1.0

Light 852 10 .7 49.8 11.9 9.9 17.6 5.1 4.3 0.8

Middle 1,253 12.0 51.1 13.9 10.8 12.2 3.6 3.2 0.4

Heavy 2,881 18.9 52.0 10.6 9.4 9.0 2.9 2.8 0.1



Number

of

trips taken

Average (people)

Sex

Sex & age

Area of

residence

Life

stage

0

20

40

60

2017 survey total

2016 survey total

（％）



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

2017 survey total (n=4,069) 16.7

2016 survey total (n=3,979) 17.9

Sex Male (n=2,113) 17.2 18.1

Female (n=1,957) 16.1 17.8

Sex & age Male 18-29 yrs (n=280) 14.4 16.5

Male 30-39 yrs (n=417) 16.9 15.4

Male 40-49 yrs (n=546) 15.3 15.8

Male 50-59 yrs (n=395) 17.2 18.1

Male 60 yrs or older (n=474) 21.3 23.4

Female 18-29 yrs (n=468) 13.7 14.7

Female 30-39 yrs (n=412) 14.4 15.8

Female 40-49 yrs (n=397) 15.8 16.2

Female 50-59 yrs (n=322) 17.0 18.9

Female 60 yrs or older (n=357) 20.6 25.2

Area of

residenceKanto (n=2,501) 17.0 18.2

Kansai (n=983) 15.8 17.9

Tokai (n=585) 16.7 16.9

Accompanying

travelerTravel alone (n=756) 16.1 20.7

Couple travel (n=233) 14.5 15.7

Married couple travel (n=1,237) 21.4 17.4

With friend (alone) (n=504) 12.2 19.1

With friends (3 or more) (n=335) 11.2 14.9

Family travel (with children) (n=669) 15.6 15.2

Family travel (with parents) (n=225) 14.8 12.9

Other (n=110) 19.8 18.1

Life

stageWorker (child 7 yrs and over) (n=1,428) 17.9 13.6

Worker (child 2-6 yrs) (n=185) 13.7 17.5

Worker (child 1 yr and under) (n=116) 17.5 15.2

Worker (married, no children) (n=858) 20.6 22.8

Worker (unmarried) (n=1,329) 13.7 13.2

Unmarried male (n=701) 14.0 12.3

Unmarried female 20s/30s (n=541) 11.5 17.0

Unmarried female 40s and over (n=234) 16.8 17.0

Student (n=153) 12.0 16.5

Long distance (n=1,226) 26.7 28.0

Medium distance (n=1,369) 18.1 17.3

Short distance (n=1,507) 7.2 8.1

† Travel expenses refer to:　

† The average was tabulated without "No ans."

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)

Distance of

the last

destination

2017

survey

Average

(tens of

1000s

of yen)

2016

survey

Average

(tens of

1000s

of yen)

17.4％

12.8

15.6

19.3

20.6

16.1

16.7

15.9

10.7

27.9

19.8

17.7

19.2

9.0

15.2

21.8

19.4

20.0

18.7

10.2

26.9

26.8

14.0

20.8

17.4

14.3

19.3

14.0

12.7

22.8

20.0

29.4

18.3

25.8

2.4

6.9

38.8

24.0

23.3

24.5

23.4

24.6

26.0

24.7

25.9

21.7

22.3

25.0

23.2

21.7

24.8

24.0

26.4

19.8

25.5

22.3

19.4

29.8

30.1

24.0

25.2

20.8

23.7

25.9

22.2

20.6

25.8

26.7

26.2

24.2

29.1

7.4

22.1

39.2

16.4

16.9

17.3

15.5

19.8

17.8

18.1

18.3

13.4

14.9

17.1

18.6

14.1

12.3

17.6

12.9

17.3

16.3

20.0

14.2

14.1

17.4

20.2

19.3

12.6

16.2

21.4

18.1

15.2

16.4

18.2

15.4

13.9

17.9

16.1

20.5

12.9

11.6

13.2

11.4

11.7

8.7

9.7

12.6

11.9

12.7

12.8

11.7

11.6

10.1

11.9

12.0

10.5

11.3

12.2

15.1

11.4

9.3

9.1

13.7

8.4

13.0

12.3

10.7

10.3

9.9

12.3

12.2

12.0

11.9

9.3

15.8

15.3

4.8

15.6

16.5

15.5

15.8

14.7

13.3

15.7

13.8

19.0

9.8

13.6

17.1

19.6

21.3

16.0

13.4

17.6

14.1

15.3

19.6

13.0

9.6

15.4

15.4

14.0

16.9

11.2

15.9

18.1

13.9

14.0

10.6

18.8

9.3

27.2

18.9

3.4

7.4

8.2

7.4

7.4

5.6

8.9

6.7

5.5

9.6

6.3

8.2

6.4

6.2

10.3

7.2

7.7

7.7

6.0

3.8

11.6

4.1

5.0

7.0

3.2

11.1

8.4

6.5

11.4

10.2

4.5

4.7

3.7

5.9

5.7

14.5

8.7

0.4

7.7

9.3

8.4

6.9

6.0

8.2

5.5

8.7

12.9

6.0

4.6

5.5

9.1

10.3

8.0

7.3

6.9

6.1

4.9

13.5

2.8

2.0

5.7

7.6

11.0

8.3

5.0

8.1

13.3

4.2

4.2

2.6

6.9

2.8

16.4

7.6

0.5

24

6. Travel Expenses (1)

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



25


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

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

2017 survey total (n=2,343) 18.4

2016 survey total (n=2,284) 19.7

Sex Male (n=1,114) 19.9 20.4

Female (n=1,229) 17.1 19.0

Sex & age Male 18-29 yrs (n=149) 17.2 19.7

Male 30-39 yrs (n=241) 20.2 16.2

Male 40-49 yrs (n=278) 17.4 17.8

Male 50-59 yrs (n=176) 18.7 20.8


Female 18-29 yrs (n=317) 14.5 15.6

Female 30-39 yrs (n=229) 16.5 16.7

Female 40-49 yrs (n=215) 16.1 16.2

Female 50-59 yrs (n=203) 18.0 20.2


Area of


Kansai (n=574) 18.0 20.0

Tokai (n=355) 18.7 19.3

Accompanying



Married couple travel (n=815) 22.8 19.7





Other (n=64) 21.6 18.7

Life

stageWorker (child 7 yrs and over) (n=886) 19.2 13.4




Worker (unmarried) (n=692) 15.2 13.9




Student (n=82) 12.7 19.6

Long distance (n=695) 29.6 31.3

Medium distance (n=808) 19.9 18.5

Short distance (n=859) 7.9 8.7

† 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)


Distance of

the last

destination

2017

survey

Average

(tens of

1000s

of yen)

2016

survey

Average

(tens of

1000s

of yen)

14.5％

10.6

11.3

17.3

14.2

10.3

11.9

14.8

7.8

25.1

15.1

15.5

19.5

9.6

13.1

17.2

15.7

10.1

14.7

9.6

26.1

21.8

13.1

15.1

12.5

12.8

16.8

11.5

10.5

18.1

12.9

27.5

12.6

26.6

2.0

4.9

33.3

22.9

22.0

22.6

23.2

23.1

23.8

24.8

19.9

20.8

20.3

26.3

23.0

21.8

25.3

22.7

26.0

19.0

16.8

21.6

17.9

28.2

31.6

25.3

30.4

20.5

22.8

27.0

17.4

18.0

26.4

28.2

25.5

24.3

25.4

6.2

18.0

41.2

14.8

13.9

15.5

14.1

19.4

17.2

17.0

19.1

7.8

15.8

14.1

20.9

10.9

9.2

16.2

11.8

13.9

14.1

17.6

11.6

14.6

17.9

19.3

16.6

8.9

13.8

19.0

19.2

12.2

16.2

17.1

16.8

14.4

21.4

10.6

19.0

14.2

11.1

13.7

11.4

10.8

8.2

7.7

13.4

13.6

12.9

14.1

8.8

9.6

9.8

10.5

11.3

9.8

12.2

12.6

17.8

10.8

8.8

10.3

11.7

8.5

14.1

11.5

10.7

6.1

10.4

12.2

13.2

10.4

10.8

6.7

12.8

15.7

5.5

17.7

18.1

18.2

17.1

18.7

16.1

16.7

16.9

22.4

11.3

17.6

17.1

19.0

22.3

18.3

14.5

20.2

19.9

19.0

21.8

13.6

9.3

15.9

17.0

15.6

18.9

11.5

18.3

20.7

15.6

16.5

12.5

18.0

9.4

29.1

22.3

4.4

9.5

10.3

9.7

9.3

6.7

12.5

10.4

5.1

11.0

6.5

11.2

8.6

8.6

12.2

8.8

10.4

10.6

12.9

4.4

13.0

5.0

7.6

8.6

3.3

16.0

10.1

8.0

14.9

12.6

6.6

6.9

4.4

9.9

5.3

19.0

10.7

0.7

9.6

11.5

11.3

8.0

9.7

12.5

5.7

10.6

17.3

6.9

6.8

5.3

10.3

10.9

9.5

10.3

8.5

13.6

4.8

15.3

3.8

1.5

6.1

9.3

12.5

10.2

7.0

12.6

15.4

5.0

5.2

3.0

9.9

5.3

20.4

9.5

0.7



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

2017 survey total (n=1,726) 9.2

2016 survey total (n=1,694) 10.0

Sex Male (n=998) 8.9 9.9

Female (n=728) 9.5 10.2

Sex & age Male 18-29 yrs (n=131) 7.4 8.0

Male 30-39 yrs (n=176) 8.0 9.5

Male 40-49 yrs (n=268) 8.3 9.0

Male 50-59 yrs (n=219) 9.8 10.4


Female 18-29 yrs (n=151) 7.6 8.6

Female 30-39 yrs (n=182) 7.8 9.2

Female 40-49 yrs (n=182) 10.0 10.8

Female 50-59 yrs (n=119) 10.5 10.4


Area of


Kansai (n=409) 8.3 9.8

Tokai (n=230) 8.9 9.0

Accompanying








Other (n=46) 12.3 10.3

Life









Student (n=71) 7.6 7.5




† Air ticket expenses is the amount paid per adult, including miscllaneous expenses


Distance of

the last

destination

2017

survey

Average

(tens of

1000s

of yen)

2016

survey

Average

(tens of

1000s

of yen)

7.2％

4.8

7.8

6.4

6.8

6.5

8.4

9.2

7.3

7.2

5.5

8.9

3.9

4.9

7.6

6.2

7.3

8.0

5.9

4.9

4.7

8.3

8.7

9.8

14.1

8.1

12.7

6.3

5.2

6.7

7.0

5.1

9.8

7.7

4.7

5.7

10.3

6.1

4.7

6.4

5.7

4.2

8.5

7.8

6.5

4.1

6.5

7.4

4.4

4.9

4.9

5.4

8.9

4.6

6.2

3.9

5.6

5.5

7.8

6.8

7.3

7.2

6.3

7.0

6.5

5.9

6.0

6.4

6.2

4.4

6.2

1.8

3.0

12.2

6.9

6.5

5.7

8.6

8.5

7.0

5.9

6.1

2.1

15.1

10.4

7.6

4.9

1.2

6.0

9.3

7.2

7.5

10.7

4.3

13.1

11.0

2.9

9.1

2.4

4.4

3.6

9.3

6.3

9.5

6.8

14.9

7.7

7.7

0.6

1.9

16.3

9.4

6.9

9.5

9.1

14.4

13.0

9.3

5.8

7.8

12.2

9.8

7.0

11.8

3.7

7.6

13.5

10.3

9.8

10.9

8.5

14.9

12.9

3.8

8.3

11.6

6.6

4.6

4.2

10.2

12.9

11.7

13.4

11.0

4.6

1.0

5.4

19.8

5.8

5.8

6.0

5.4

7.6

3.5

5.9

8.5

4.7

7.9

3.1

7.0

5.9

2.5

5.6

6.4

5.6

6.3

2.9

3.9

8.0

5.2

7.3

9.5

2.6

5.5

6.1

8.8

3.4

6.8

6.6

5.6

9.9

7.5

0.6

4.9

10.8

28.7

31.3

30.3

26.4

30.5

30.5

28.0

29.4

34.2

23.0

32.5

23.4

22.5

30.9

30.3

24.0

29.2

32.1

35.7

25.8

31.6

29.8

24.4

23.0

18.3

28.4

30.6

25.5

29.5

27.4

30.6

29.0

19.8

38.4

22.4

39.1

25.0

17.4

18.5

16.2

19.1

15.3

18.0

18.0

13.3

16.1

12.2

18.4

20.9

22.5

23.5

17.5

16.6

18.4

16.1

16.1

19.5

12.1

11.0

22.6

18.1

24.0

19.9

16.4

18.0

16.1

16.7

16.3

13.4

22.0

12.4

30.1

21.5

3.3

18.5

21.6

18.0

19.2

12.7

13.0

16.8

21.2

23.8

15.8

12.9

20.9

23.5

28.4

20.0

15.2

17.5

13.9

13.9

27.5

10.0

14.1

23.5

14.8

19.9

20.8

19.0

21.4

23.5

14.0

14.6

12.4

15.4

15.5

38.8

18.4

2.3



27


■Accommodation 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

2017 survey total (n=1,726) 5.1

2016 survey total (n=1,694) 5.6

Sex Male (n=998) 5.3 5.6

Female (n=728) 4.9 5.6

Sex & age Male 18-29 yrs (n=131) 3.7 4.0

Male 30-39 yrs (n=176) 4.5 5.2

Male 40-49 yrs (n=268) 4.9 5.1

Male 50-59 yrs (n=219) 6.2 5.4


Female 18-29 yrs (n=151) 4.3 4.5

Female 30-39 yrs (n=182) 3.9 5.2

Female 40-49 yrs (n=182) 5.3 5.4

Female 50-59 yrs (n=119) 4.9 6.3


Area of


Kansai (n=409) 4.5 5.3

Tokai (n=230) 4.7 4.7

Accompanying








Other (n=46) 5.1 7.0

Life









Student (n=71) 3.6 2.7




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


Distance of

the last

destination

2017

survey

Average

(tens of

1000s

of yen)

2016

survey

Average

(tens of

1000s

of yen)

18.4％

15.9

16.2

21.6

28.8

12.5

15.8

15.0

13.0

27.3

19.6

19.6

19.6

22.2

17.9

20.4

17.7

20.3

20.0

13.6

20.1

21.9

19.5

14.5

21.9

17.8

19.3

34.5

14.1

18.6

18.9

23.6

16.5

31.0

13.4

16.6

24.2

15.1

12.3

16.0

13.8

15.3

20.5

15.8

14.3

14.5

16.5

14.1

14.6

14.7

6.2

13.9

18.8

14.1

15.6

14.9

9.7

19.7

26.6

12.3

21.6

14.0

14.7

18.9

13.6

10.4

17.6

16.9

17.5

17.6

13.5

6.7

10.9

25.2

11.9

12.0

11.6

12.3

10.2

17.5

9.9

13.3

7.8

17.3

17.2

8.9

7.8

7.4

11.5

13.5

11.2

12.5

13.8

10.4

11.7

15.1

7.6

19.7

18.8

8.1

13.3

3.7

13.7

14.7

13.0

18.6

11.0

10.8

7.7

9.9

17.0

10.7

11.2

11.6

9.4

11.0

13.0

12.1

10.6

11.4

7.2

8.6

10.8

10.8

9.9

10.4

11.0

11.3

11.9

10.0

10.3

8.2

7.3

12.8

13.1

4.5

12.7

10.4

4.2

8.8

10.4

11.5

8.3

9.9

12.2

8.5

11.6

11.7

6.3

6.9

6.6

6.0

5.1

6.0

7.5

6.8

6.7

1.4

6.7

9.5

4.9

6.2

6.6

3.8

9.5

6.5

4.2

6.7

7.7

4.3

8.1

2.5

2.3

7.5

5.9

2.3

6.5

6.3

6.6

4.2

5.5

-

5.2

8.3

5.7

20.9

23.6

20.7

21.2

15.3

18.0

23.3

20.8

22.8

18.0

23.3

17.7

24.5

24.7

21.3

19.1

21.8

19.3

22.5

21.9

23.1

14.8

25.7

12.4

23.2

21.4

22.5

24.2

21.1

19.9

19.1

19.6

24.2

20.1

30.4

21.5

13.0

9.3

9.6

9.2

9.4

11.0

6.0

9.3

8.5

11.4

4.3

8.6

10.1

13.7

12.3

10.2

7.2

8.5

8.8

4.7

13.5

8.0

6.8

7.6

7.8

8.7

9.1

6.9

11.5

12.3

8.0

8.8

5.7

11.0

9.4

15.2

11.3

2.6

7.4

8.6

8.1

6.4

3.4

6.5

6.2

10.6

12.4

7.9

1.8

8.9

3.9

11.1

8.1

6.2

5.9

5.2

9.9

13.8

1.4

3.2

6.4

8.3

6.6

8.7

2.9

5.9

13.2

4.4

5.2

2.5

4.4

3.1

13.0

10.1

0.6



28

7. Number of Days Traveled

■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

2017 survey total (n=4,986) 6.9

2016 survey total (n=4,802) 7.2

Sex Male (n=2,558) 6.7 6.9

Female (n=2,428) 7.0 7.5

Sex & age Male 18-29 yrs (n=363) 6.8 6.9

Male 30-39 yrs (n=502) 6.1 6.3

Male 40-49 yrs (n=633) 6.1 6.0

Male 50-59 yrs (n=459) 6.1 6.4


Female 18-29 yrs (n=615) 7.6 7.3

Female 30-39 yrs (n=483) 6.5 7.8

Female 40-49 yrs (n=462) 6.4 6.5

Female 50-59 yrs (n=389) 6.7 7.0


Area of


Kansai (n=1,235) 7.0 6.9

Tokai (n=713) 6.7 7.3

Accompanying



Married couple travel (n=1,416) 7.1 6.5





Other (n=266) 8.3 7.5

Life

stageWorker (child 7 yrs and over) (n=1,821) 6.9 10.9



Worker (married, no children) (n=1,003) 6.8 7.6

Worker (unmarried) (n=1,537) 6.5 5.5




Student (n=248) 8.6 7.3

Long distance (n=1,436) 9.5 9.8

Medium distance (n=1,686) 7.4 7.1

Short distance (n=1,901) 4.5 4.8

Distance of

the last

destination

2017

survey

Average

(days)

2016

survey

Average

(days)

15.8％

13.5

14.9

16.7

20.8

17.8

15.9

15.5

7.6

21.6

20.4

15.7

16.8

7.7

12.9

22.1

17.3

16.7

17.0

7.8

27.5

29.3

10.3

17.3

19.9

12.4

15.4

17.0

11.5

22.6

19.7

25.3

18.5

15.9

2.0

4.1

36.4

17.2

16.7

16.3

18.0

16.5

16.2

17.7

16.9

14.4

21.6

17.1

18.2

16.2

15.6

16.5

18.6

17.4

12.9

18.9

14.2

19.8

21.4

19.4

22.6

15.6

17.2

14.7

15.2

14.4

19.1

18.2

21.8

15.4

19.4

2.5

12.2

32.5

18.1

17.8

20.2

15.9

18.7

22.7

22.9

20.0

16.4

15.8

16.2

17.7

14.7

14.9

18.5

16.9

18.2

15.0

23.8

16.4

17.5

16.9

23.7

15.3

19.4

18.6

22.5

19.9

15.7

18.6

20.9

15.6

16.7

15.5

9.6

27.0

16.7

10.7

11.3

10.3

11.1

9.8

9.7

10.8

12.1

9.5

8.8

13.0

11.2

11.1

11.8

11.0

8.9

12.4

8.8

9.7

11.6

10.7

8.2

12.9

11.0

8.9

11.0

13.4

10.8

12.2

9.5

9.2

8.6

10.4

7.4

10.2

17.4

4.9

11.6

11.7

11.6

11.6

10.7

13.9

12.2

12.4

9.2

9.9

12.5

12.2

12.9

11.3

12.5

10.5

9.8

11.4

10.1

13.9

6.7

8.5

15.0

11.2

7.4

11.5

13.6

13.3

14.9

9.3

10.8

8.1

8.6

10.5

16.0

16.4

4.4

13.2

13.6

12.3

14.1

8.3

10.2

9.3

13.5

18.7

10.3

12.5

12.2

16.2

20.7

14.1

11.0

12.7

11.7

9.8

19.6

10.0

6.7

10.4

15.2

12.5

15.0

8.3

9.0

17.7

9.8

6.9

10.0

17.2

9.2

30.8

11.1

1.7

9.4

10.9

10.3

8.5

9.2

7.9

8.5

7.8

16.5

7.3

5.6

9.2

8.1

12.5

10.0

8.1

8.9

13.9

7.7

12.9

6.3

6.4

5.6

5.6

8.5

10.1

8.2

10.5

10.8

7.6

9.3

6.2

9.0

10.6

20.9

7.7

2.2

4.1

4.6

4.0

4.1

6.1

1.8

2.6

1.8

7.7

4.8

2.8

3.5

3.9

5.5

4.3

3.9

3.3

9.6

3.0

3.6

1.5

2.5

2.7

1.7

7.8

4.1

3.9

4.4

2.8

3.6

5.0

4.6

4.1

11.5

8.0

4.0

1.3



29

8. Purpose of Travel (1)

■Purpose of travel (Total/Multiple answers)

2017

survey

2016

survey

(n=4,986) (n=4,802)

To stroll around town 49.0 49.7

To eat good food 46.8 46.7

To shop 38.6 36.9

To see famous sites and historic spots (other than World Heritage) 36.7 38.1

To escape from the routine 27.5 26.1

To see World Heritage sites 22.7 26.1

To create memories 21.3 20.9

To experience a different culture 20.4 19.7

To enjoy nature 16.1 16.0

Relax at hotel 15.5 16.7

To relax on the beach 13.8 14.5

Just to try getting to a foreign country 13.3 13.2

Engage in sports / hands-on activities 12.0 12.3

Beauty treatments and massages 10.8 10.5

To see stimulation 10.5 10.7

To view art 10.4 12.3

To stay at luxury hotels 7.5 7.4

In expectation of interactions and new encounters with local people 7.4 7.2

To see Japanese friends and acquaintances who live there 6.0 6.4

For my children 5.4 5.1

To improve my language ability 3.6 3.8

To visit a place that is in my memories 3.2 3.2

To experience places off the beaten track / adventures 3.0 2.9

To enjoy a concert / musical performance 2.7 2.6

For my parents 2.7 2.4

For my own overseas wedding / honeymoon 2.6 2.3

To view event during a particular time (Rio Carnival, etc.) 2.4 2.6

To view a sport event 1.4 1.9

To get a better grounding in hobbies and studies pursued 1.4 2.0

To attend a wedding ceremony 1.1 1.1

To tour locations of filming 0.9 1.2

To do a home-stay / study abroad 0.7 0.7

To benefit my career opportunities 0.4 0.5

Working holiday 0.2 0.1

Other 4.9 4.8

0 10 20 30 40 50

2017 survey total 2016 survey total

（％）



30

8. Purpose of Travel (2)

■Purpose of travel (Total/Multiple answers)

（％）

Sightseeing Purposes Activity PurposesComfort

Purposes

Sample

To stroll

around town

To eat good

foodTo shop

To see

famous sites

and historic

spots (other

than World

Heritage)

To see World

Heritage sites

Beauty

treatments

and massages

To stay at

luxury hotels

Engage in

sports /

hands-on

activities

To view art

To experience

places off the

beaten track

/ adventures

To enjoy a

concert /

musical

performance

To view event

during a

particular time

(Rio Carnival,

etc.)

To view a

sport event

To get a

better

grounding in

hobbies and

studies

pursued

To tour

locations of

filming

To escape

from the

routine

To enjoy

natureRelax at hotel

2017 survey total 4,986 49.0 46.8 38.6 36.7 22.7 10.8 7.5 12.0 10.4 3.0 2.7 2.4 1.4 1.4 0.9 27.5 16.1 15.5

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

Sex Male 2,558 ①47.7 ②42.1 33.9 ③37.0 22.8 8.3 7.7 12.6 9.5 3.4 2.5 2.3 1.8 1.6 0.8 23.6 16.3 16.8

Female 2,428 ②50.4 ①51.8 ③43.5 36.4 22.6 13.5 7.3 11.4 11.4 2.6 3.0 2.5 1.0 1.2 0.9 31.6 15.8 14.1

Male 18-29 yrs 363 ①44.3 ②33 .3 ③33 .0 32.1 21.1 4 .6 3.4 14.4 5 .2 6.4 1.8 2.1 2.1 1.5 2.1 23.5 14.4 9 .8

Male 30-39 yrs 502 ①46.4 ②40 .9 ③39.4 36.0 20.0 9.1 6.9 13.4 8.3 3.3 2.5 2.5 1.8 2.3 1.1 29.3 15.1 17.8

Male 40-49 yrs 633 ②48.2 ①48.4 ③36.0 35.6 19.3 10.4 7.5 13.7 9.2 2.9 3.0 1.4 2.8 1.7 0.7 28.0 14.2 20.0

Male 50-59 yrs 459 ①45.0 ②44.6 ③33 .2 30 .8 19.2 10.9 9.8 12.4 7.8 2.6 2.0 1.1 1.5 1.6 0.5 23.9 15.1 15.6

Male 60 yrs or older 601 ①52.5 ③39 .8 28 .0 ②46.8 32.7 5 .5 9.9 10.0 14.6 2.8 3.0 4.0 0.9 1.1 0.4 13 .9 21.7 18.0

Female 18-29 yrs 615 ②47.3 ①55.0 ③46.7 30 .8 16 .6 14.2 3.5 14.7 7.4 2.5 2.5 1.8 0.9 2.1 1.8 31.9 9 .7 10 .1

Female 30-39 yrs 483 ②52.1 ①53.0 ③42.8 31 .7 18.8 13.9 6.5 13.9 7.4 4.2 2.1 2.5 1.9 1.4 0.9 35.4 15.3 16.7

Female 40-49 yrs 462 ②50.4 ①52.6 ③46.1 34.2 18.0 16.0 8.0 11.5 9.7 2.0 2.5 2.5 1.2 0.7 0.2 38.2 17.7 20.0

Female 50-59 yrs 389 ②52.9 ①54.4 ③43.5 40.8 26.7 14.7 8.4 7.2 15.3 1.2 5.4 3.3 0.9 1.2 0.9 27.0 12.0 10 .2

Female 60 yrs or older 479 ①51.0 ③43.8 37.5 ②47.1 35.1 8.9 11.5 7.9 19.0 3.1 2.9 2.9 0.2 0.2 0.5 24.8 25.2 14.2

Kanto 3,038 ①49.3 ②45.9 ③38.0 36.2 22.2 10.4 7.6 12.7 11.1 3.2 3.0 2.7 1.4 1.6 0.9 28.0 16.4 17.0

Kansai 1,235 ①49.4 ②49.3 38.3 ③38.4 23.3 11.2 6.6 10.0 9.5 2.8 2.1 1.5 1.1 1.2 0.6 27.0 16.6 12.7

Tokai 713 ①47.4 ②46.5 ③41.5 36.1 23.7 11.9 8.8 12.6 9.0 2.6 2.6 3.0 2.1 1.2 1.4 26.0 13.9 13.9

Worker (child 7 yrs and over) 1,821 ①48.9 ②45.4 38.0 ③41.8 27.1 10.0 10.1 11.4 13.4 2.7 2.7 2.6 1.0 1.1 0.6 22 .4 18.8 15.6

Worker (child 2-6 yrs) 232 ③38 .8 ①48.4 ②45.3 21 .4 9 .7 8.9 5.3 18.3 4 .6 1.4 1.2 1.3 1.1 0.7 0.4 27.4 18.4 24.0

Worker (child 1 yr and under) 145 ②40 .8 ①43.3 ③39.1 27 .0 18.2 9.9 6.0 12.5 5.6 0.7 1.6 0.6 1.3 1.3 0.6 24.8 15.9 20.1

Worker (married, no children) 1,003 ①49.1 ②48.4 ③39.6 36.1 21.2 10.7 8.5 14.1 8.3 3.2 2.2 2.4 1.7 0.9 0.4 29.3 16.6 18.0

Worker (unmarried) 1,537 ①52.1 ②48.1 ③37.9 35.0 21.7 12.7 5.4 10.6 9.8 4.0 3.6 2.8 1.7 1.6 1.5 33.0 13.6 13.6

Unmarried male 828 ①51.3 ②40 .2 31 .1 ③35.0 21.9 8.9 5.2 10.6 8.5 4.9 3.9 2.7 2.7 2.6 1.4 28.3 13.8 14.6

Unmarried female 20s/30s 695 ②49.3 ①56.1 ③44.8 32.9 18.2 15.0 3.6 12.1 8.5 3.3 2.8 1.4 0.8 2.2 1.7 34.3 10 .6 9 .5

Unmarried female 40s and over 256 ①56.1 ②48.9 ③40.3 38.0 26.7 14.5 7.2 5 .9 16.7 1.4 3.2 5.0 1.4 0.5 1.4 37.5 14.5 14.0

Student 248 ①45.0 ②44.0 ③36.1 32.5 17 .6 8.3 1 .8 10.5 8.4 2.2 1.8 0.9 1.8 5.3 1.8 25.1 7 .1 5 .8

Light 852 ①45.2 ②44.4 ③39.3 36.5 17 .1 10.2 5.0 13.0 6.6 2.7 2.9 2.4 1.5 1.6 1.2 21 .4 12.1 10.9

Middle 1,253 ①47.5 ②46.0 ③40.4 38.1 22.6 11.2 6.1 12.6 8.9 3.0 2.2 2.1 1.4 1.5 0.7 27.4 14.6 13.4

Heavy 2,881 ①50.8 ②47.9 ③37.5 36.2 24.4 10.8 8.9 11.5 12.2 3.2 3.0 2.5 1.4 1.4 0.9 29.3 17.8 17.8

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

2017 survey total 4,986 13.8 21.3 20.4 13.3 10.5 7.4 3.6 0.4 6.0 3.2 5.4 2.7 2.6 1.1 0.7 0.2 4.9

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

Sex Male 2,558 14.0 18.8 21.0 12.7 11.8 8.4 3.5 0.4 5.8 3.4 5.1 1.7 2.5 1.4 0.3 0.2 4.8

Female 2,428 13.6 24.0 19.8 14.0 9.1 6.4 3.8 0.4 6.3 2.9 5.7 3.8 2.7 0.9 1.1 0.1 4.9

Male 18-29 yrs 363 15.3 26.0 22.3 20.8 19.3 7.0 6.7 0.9 3.1 2.8 0.6 1.2 6.7 1.8 0.9 0.9 2.4

Male 30-39 yrs 502 17.4 24.1 22.0 14.9 13.0 8.3 5.3 0.5 4.4 2.8 5.4 3.2 6.5 2.5 0.4 0.2 2.8

Male 40-49 yrs 633 17.5 18.8 20.1 14.2 12.9 8.3 2.8 0.4 5.7 3.9 7.8 2.1 0.9 0.7 0.4 0.1 4.2

Male 50-59 yrs 459 11.7 12 .7 17.4 7 .3 9.1 8.6 2.1 0.3 7.7 3.6 4.6 1.6 ― 0.7 ― ― 5.9

Male 60 yrs or older 601 8 .6 14 .8 23.1 8 .3 7.0 9.2 1.8 ― 7.2 3.7 5.1 0.5 ― 1.4 ― ― 7.7

Female 18-29 yrs 615 14.9 32.2 22.5 19.5 15.0 7.8 7.3 1.2 5.5 1.4 0.5 4.1 6.5 0.5 3.4 0.5 3.9

Female 30-39 yrs 483 18.8 29.4 18.1 18.5 10.6 7.6 3.9 0.2 6.9 1.9 6.7 5.1 4.6 2.5 0.9 ― 3.5

Female 40-49 yrs 462 18.7 18.2 20.0 12.5 8.5 6.2 3.5 ― 5.7 2.7 11.2 6.2 0.7 ― 0.2 ― 4.0

Female 50-59 yrs 389 7 .2 16.5 17.4 8.7 4 .8 4.8 1.5 ― 8.4 4.8 7.2 2.4 ― 0.9 ― ― 6.6

Female 60 yrs or older 479 7 .0 19.7 20.0 8 .2 3 .8 4.8 1.4 ― 5.3 4.6 4.8 1.0 ― 0.5 0.2 ― 7.2

Kanto 3,038 15.2 21.0 19.7 12.2 10.0 7.7 3.4 0.4 6.0 3.5 5.6 2.9 2.7 1.1 0.7 0.1 5.2

Kansai 1,235 11.5 21.7 22.4 16.2 11.3 7.0 4.6 0.4 6.2 2.3 4.8 2.4 1.9 1.2 0.8 0.3 4.2

Tokai 713 11.9 22.0 20.2 13.1 10.8 6.7 2.9 0.2 5.7 3.3 5.7 2.6 3.4 1.1 0.6 0.3 4.4

Worker (child 7 yrs and over) 1,821 12.1 19.3 22.0 9.4 6.9 6.5 2.4 0.2 6.4 4.0 9.8 1.9 0.1 1.2 0.3 ― 5.5

Worker (child 2-6 yrs) 232 26.1 27.7 15.5 13.3 8.4 7.0 4.0 0.4 7.1 4.6 28.3 5.9 0.5 2.3 0.4 0.4 4.7

Worker (child 1 yr and under) 145 21.9 26.5 10 .0 11.4 8.1 2.9 3.6 ― 6.1 2.0 9.5 6.3 12.5 2.9 ― ― 3.3

Worker (married, no children) 1,003 18.8 23.2 17.0 12.7 8.0 6.3 2.5 0.1 5.3 3.1 0 .1 2.8 10.3 0.9 0.1 0.1 3.7

Worker (unmarried) 1,537 11.1 19.7 20.9 17.4 15.7 8.9 3.8 0.4 6.0 2.3 0.6 2.6 0.2 1.1 0.8 0.3 5.1

Unmarried male 828 10.7 18.7 24.0 17.1 19.3 10.2 5.3 0.7 5.7 3.1 0 .4 1.7 0.3 1.3 0.5 0.4 5.1

Unmarried female 20s/30s 695 11.7 28.2 22.4 20.5 14.8 10.1 7.2 1.1 6.3 1.6 0 .2 4.0 0.2 0.8 3.5 0.3 4.3

Unmarried female 40s and over 256 6 .8 10 .4 15.8 13.1 7.7 5.0 1.8 ― 5.4 2.3 2.3 3.6 ― ― ― ― 6.8

Student 248 7 .1 30.0 30.0 20.3 17.2 12.3 16.3 3.1 5.3 3.1 ― 4.0 0.9 ― 6.1 0.4 4.4

Light 852 14.0 27.4 22.5 19.1 11.3 7.3 4.7 0.8 3.8 1.4 3.3 2.4 7.6 1.6 1.6 0.5 4.4

Middle 1,253 15.1 24.1 22.1 14.3 11.2 5.7 4.0 0.4 4.6 2.4 6.3 3.1 2.4 1.2 1.1 0.1 4.4

Heavy 2,881 13.2 18.3 19.0 11.1 9.9 8.2 3.1 0.3 7.3 4.1 5.6 2.7 1.2 0.9 0.3 0.1 5.2



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

Number of

trips taken

Life

stage

Sex & age

Area of

residence

Life

stage

Sex & age

Area of

residence

Number of

trips taken



（％）

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

2017 survey total 4,986 32.2 7.3 9.6 18.2 4.2 11.6 3.3 5.9 1.0 17.1 3.3 7.5 1.9 5.2 3.5 0.2

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

UK 123 ①43.0 8.8 11.6 ③28.1 5.5 ②31.2 3.7 5.0 3.0 15.5 3.2 2 .5 1.3 1.4 ― 0.7

France 150 ①42.3 7.8 13.1 ③24.9 6.4 ②33.7 4.4 6.5 1.2 17.8 2.7 1 .3 0.7 1.2 1.2 0.6

Germany 114 ①37.3 1 .9 10.6 ②33.2 3.5 ③32.9 3.5 6.9 2.5 18.4 5.0 2 .0 ― ― 0.9 ―

Spain 101 ①58.7 7.7 7.4 ②51.4 2.7 ③37.7 3.9 5.0 0.9 30.4 2.2 ― 1.1 1.1 ― ―

Italy 182 ①56.2 20.8 20.0 ②44.5 3.2 ③39.9 3.8 12.6 1.7 36.2 4.3 1 .2 ― 1.1 0.5 ―

Other countries in western Europe 156 ①51.4 4.9 12.1 ②34.2 4.1 ②34.2 1.8 6.5 0.7 28.8 2.4 2 .2 1.5 0.7 0.7 ―

Other places in Europe 160 ①51.9 6.3 19.9 ③29.6 0.5 ②34.7 0.5 5.0 1.4 21.8 5.4 2 .4 ― ― 0.7 ―

Other Middle East or Africa 65 ①59.6 5.7 21.2 ②33.0 2.7 15.4 4.3 11.8 4.4 ③22.8 7.9 4.4 ― 2.7 2.7 2.7

USA east 148 ②26 .0 7.3 10.6 10 .0 8.8 ③19.6 4.9 7.0 1.2 9 .3 3.4 1 .9 0.6 1.9 1.2 1.2

USA west 177 ①23 .8 1 .1 3 .8 13.5 ②17.5 4 .5 2.9 2.2 0.5 11 .1 1.0 2 .2 2.1 0.5 0.5 1.1

USA south 50 ②13 .8 6.2 ③13.6 3 .9 ①46.0 ― 4.5 5.6 ― 9 .8 6.0 ― ― 4.3 6.0 ―

Canada 90 ①40.0 7.6 7.3 ③15.5 3.2 4 .4 2.0 5.3 ― ②16.7 ― 2 .3 1.2 ― ― 2.1

Central/South America or Caribbean 66 ①69.7 11.6 19.4 ②30.0 5.9 12.6 1.7 5.8 ― ③21.0 2.5 5.9 ― 7.3 5.9 1.3

Hawaii (Oahu) 538 ①29.1 10.8 11.8 6 .3 2.4 2 .4 3.2 7.1 1.6 ③14.1 7.8 4.3 4.7 12.5 8.7 0.2

Hawaii (other than Oahu) 133 ①32.3 ②22.9 ③22.4 10 .8 5.9 3 .7 2.8 9.2 2.1 14.9 10.8 8.8 11.5 12.8 10.2 1.3

Guam 241 ①21 .6 11.7 15.3 5 .7 2.5 1 .7 5.5 5.0 1.0 13.6 4.6 6.1 3.7 ③20.2 ②20.9 0.4

Saipan 27 16.4 ②32.4 12.0 3.2 6.4 3.2 6.4 12.7 3.2 10.3 10.4 25.1 ― ③28.4 ①38.4 3.2

South Pacific islands or other islands 78 18 .8 ②26.8 ③20.0 8 .4 1.1 4 .0 10.3 5.8 1.4 9 .2 7.1 17.5 ― ①52.7 15.7 1.1

Shanghai 98 ①34.2 2.7 10.0 ②25.7 5.4 8.2 2.6 11.0 0.9 ③20.2 2.1 8.8 ― 0.9 ― ―

Beijing 20 ①49.9 4.4 8.5 ②30.1 ― 5.4 ― ― ― 8.5 ― 5.4 ― ― ― ―

Other China (exc. Hong Kong / Macau) 60 ①30.6 ― 5.5 ②29.6 ― 18.5 3.1 1.9 1.9 ③18.9 ― 3.9 1.3 ― ― ―

Hong Kong 183 ①27 .1 1 .3 4.8 ③9.2 8.2 3 .3 2.8 8.0 0.6 ②17.8 3.6 8.5 0.6 ― ― ―

Macau 49 ①23 .1 1 .7 4.7 12 .5 4.7 1 .5 2.3 4.7 ― ②20.7 3.8 9.4 1.7 ― ― ―

Taiwan 699 ①33.8 1 .2 2 .0 ③20.6 1.6 15.5 1.6 8.3 1.0 ②21.0 0.6 10.9 0.5 0.3 0.3 0.2

Korea 452 ①15 .5 0 .5 2 .1 8 .8 2.5 2 .4 0.2 4.9 1.0 ②10 .7 0.9 ②10.7 0.3 0 .2 ― ―

Singapore 178 ①25 .7 6.3 4.9 10 .4 12.9 5 .5 ③16.5 5.6 1.0 ②19.2 1.2 4.1 1.3 1.7 1.2 ―

Phuket 27 19.4 ①37.5 14.5 6.8 11.3 ― ― 4.1 ― 3.3 3.3 ②35.7 2.8 ③26.1 2.8 ―

Thai beaches (other than Phuket) 31 ③10 .0 ①15.6 ― 7 .0 ― ― ― ― ― 2 .7 3.7 ②11.7 3.8 9.1 3.7 ―

Bangkok or other Thai cities 204 ①19 .5 4.4 3 .6 ③11 .5 1.3 1 .9 1.5 2.0 0.4 7 .7 2.6 ②15.7 6.9 0.6 0.6 ―

Bali 68 ①29.3 11.5 3 .0 ③21.6 1.3 1 .2 1.7 1.6 1.3 4 .6 ― ②29.0 1.3 19.6 10.3 ―

Malaysia 58 ①24 .5 ③15.5 12.7 ②17.6 5.1 7.6 1.8 3.9 ― 12 .1 3.2 7.3 6.8 1.9 1.9 ―

Philippines 114 12 .2 ②18.0 8.2 3 .4 0.9 1 .7 3.0 5.2 ― 6 .1 1.0 12.3 2.4 ①19.6 ③15.1 ―

Vietnam 136 ①46.3 9.8 25.0 ②35.4 3.0 6.7 2.1 8.8 1.2 ③25.2 4.7 15.1 0.9 ― ― ―

Cambodia 34 ②40.4 ― 15.1 ①55.3 ― 6 .5 ― 6.5 ― ③25.3 2.2 22.3 ― ― ― ―

Other places in Asia 78 ①54.1 ― 3 .9 ②37.2 1.1 10.4 1.3 3.9 ― ③25.1 ― 11.6 ― ― ― ―

Australia 151 ①41.3 ③22.0 ②25.6 21.2 7.4 6.8 18.5 2.5 1.3 19.3 9.6 3.9 0.7 11.6 7.0 ―

New Zealand or other Oceania 48 ①47.2 17.5 ②41.0 ③36.3 1.7 9.8 5.5 3.9 4.5 24.5 7.8 4.7 5.6 7.1 ― ―

Used 2,343 ①51.6 11.6 15.0 ②30.8 5.7 17.1 4.8 10.4 1.5 ③26.6 5.0 8.7 1.6 7.6 4.9 0.2

Didn't use 1,726 ①12 .1 2.9 4 .3 5 .2 3.1 7.4 1.9 1.6 0.6 ②8.8 1.2 6.7 2.0 3.0 2.2 0.2

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

2017 survey total 4,986 2.7 3.6 1.5 1.2 7.4 1.8 0.7 0.9 4.1 0.3 1.8 6.1 4.7 3.2 21.2 11.5

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

UK 123 3.6 3.4 4.3 1.4 14.2 6.7 ― 1.5 4.5 ― ― 11.2 3.9 2.7 12 .0 5 .0

France 150 3.1 3.8 1.9 1.1 7.9 4.7 1.1 ― 2.7 0.7 ― 15.5 3.9 1.4 19.0 9.4

Germany 114 0.7 1.7 0.8 ― 12.0 5.2 1.6 ― 4.6 ― 0.7 21.0 1.5 2.9 11 .1 14.7

Spain 101 2.1 2.2 1.1 ― 22.5 5.7 1.1 ― 9.6 1.1 3.2 13.9 1.8 5.1 7 .4 6 .3

Italy 182 2.0 3.4 0.5 ― 5.6 3.8 1.4 ― 4.8 ― 0.6 13.8 1.6 1.6 10 .7 6.8

Other countries in western Europe 156 5.8 2.6 2.1 1.5 16.8 3.7 2.1 0.6 1.5 1.5 2.8 17.5 4.2 4.2 10 .4 5 .7

Other places in Europe 160 1.9 2.7 0.7 0.7 21.7 1.2 ― ― 1.7 0.7 1.9 16.7 3.8 7.1 12 .1 7.6

Other Middle East or Africa 65 12.9 16.9 5.2 9.8 11.4 1.3 ― ― 9.7 1.3 9.2 8.9 ― 7.6 17.6 6.8

USA east 148 3.8 4.8 3.4 2.5 ①26.8 11.8 1.3 1.8 5.1 1.4 1.8 4.0 6.5 5.0 22.0 12.4

USA west 177 1.1 3.3 2.6 1.0 14.7 7.4 2.6 4.4 3.5 0.5 1.2 4.4 ③15.1 3.3 17.0 9.4

USA south 50 1.8 2.2 2.3 2.2 5.8 4.4 2.2 ― ― ― 1.8 ― 12.9 1.8 14 .3 11.6

Canada 90 3.4 8.0 1.2 0.9 2.5 5.4 ― ― 2.6 ― ― 4.9 9.0 10.0 17.1 10.5

Central/South America or Caribbean 66 11.0 7.2 1.3 1.3 4.5 4.6 ― 1.3 4.2 ― ― 6.7 3.0 5.0 9 .6 5 .2

Hawaii (Oahu) 538 5.1 7.6 3.4 1.1 4.3 0.3 0.7 0.4 3.6 ― 1.1 ― ②15.8 3.0 12 .7 9.1

Hawaii (other than Oahu) 133 12.9 8.6 2.4 4.0 4.4 0.6 1.3 0.6 5.7 ― 0.6 0 .6 15.2 5.8 4 .1 11.1

Guam 241 3.2 7.3 2.6 1.6 5.5 0.7 0.8 ― 3.9 0.7 2.2 0 .4 7.3 4.8 13 .6 10.9

Saipan 27 6.4 14.8 6.2 3.2 9.0 3.2 ― 7.3 7.3 3.2 3.2 3.2 10.0 11.2 10.3 7.2

South Pacific islands or other islands 78 3.2 7.6 3.7 4.6 2.8 ― 1.4 2.8 7.2 1.4 1.4 2.8 3.5 6.4 13 .1 4 .4

Shanghai 98 ― 1.1 ― ― 5.9 2.0 ― ― 2.3 ― ― 3.4 1.9 2.3 28.7 8.1

Beijing 20 ― ― ― ― ③13.5 ― 5.4 ― 5.3 ― ― ― ― ― 15.5 16.8

Other China (exc. Hong Kong / Macau) 60 ― ― ― ― 11.5 ― 1.8 ― 7.1 ― 3.6 6.3 3.3 1.8 28.4 18.7

Hong Kong 183 0.6 0.5 ― ― 3.2 0.9 0.8 3.3 8.4 ― 0.6 3.8 0.6 2.3 33.8 15.0

Macau 49 ― ― ― ― 5.4 ― 1.5 ③13.0 9.5 ― ― 6.4 ― 2.4 28.9 22.2

Taiwan 699 0.4 0.1 0.5 0.4 1 .7 0.6 0.5 0.3 3.6 0.4 2.6 12.2 0.9 2.1 30.0 13.1

Korea 452 1.8 0.5 0.7 0.2 9.3 0.2 0.7 1.2 1.3 0.2 1.7 3.2 ― 0.4 39.5 16.5

Singapore 178 1.2 2.3 0.6 8.0 1 .9 2.0 ― 4.8 8.0 ― 0.7 2.5 1.1 3.2 26.8 12.2

Phuket 27 4.0 12.4 ― 8.3 4.2 ― ― ― 10.7 ― ― ― 3.1 ― 17.1 6.7

Thai beaches (other than Phuket) 31 3.7 ― ― 3.6 7.2 ― 3.5 ― ― ― ― ― 8.2 ― 37.1 14.6

Bangkok or other Thai cities 204 1.2 4.9 0.9 0.4 7.4 1.4 0.9 ― 4.6 0.4 0.9 3.5 2.4 3.6 31.1 14.7

Bali 68 1.6 7.4 4.6 1.3 12.8 ― 1.2 ― 5.4 ― 1.3 1.6 3.2 4.6 16.6 6 .2

Malaysia 58 3.1 1.8 ― ― 5.2 ― 1.9 3.3 1.3 2.0 3.3 7.6 1.5 ― 32.2 10.7

Philippines 114 1.0 4.2 1.9 0.8 ― 0.8 ― ― 3.1 ― 1.0 1 .0 1.4 ― 28.4 16.5

Vietnam 136 0.8 2.3 ― 1.5 10.2 2.1 ― ― 2.3 ― 3.4 1.6 0.8 3.1 12 .6 15.3

Cambodia 34 ― ― 2.4 ― 18.9 ― 3.2 ― ― ― 6.5 ― 3.4 12.6 11 .6 9.0

Other places in Asia 78 3.7 8.0 1.1 1.1 10.9 ― ― ― ― ― 9.3 6.1 4.1 4.3 17.2 7.6

Australia 151 8.9 10.9 4.0 4.0 2 .1 1.9 0.6 0.6 8.8 ― 2.8 9.1 8.8 4.9 9 .7 8.1

New Zealand or other Oceania 48 11.8 16.6 6.3 1.5 2 .4 1.7 2.2 ― 4.1 ― 6.5 5.8 11.0 10.5 4 .7 4 .7

Used 2,343 3.8 5.0 1.9 1.9 8.9 1.8 0.9 1.1 6.5 0.3 3.0 6.0 2.8 3.0 14 .8 2 .3

Didn't use 1,726 2.0 2.4 1.1 0.5 6.4 2.1 0.4 1.0 1.7 0.2 0.5 ③8.1 7.7 4.0 41.2 5 .1



† 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"

Package

use

Last

destination

(middle

classification)

Last

destination

(middle

classification)

Package

use

31

9. Actions at Destination

1) Total

■Actions at destination (Total/Multiple answers)



32


2) What was Included in Package Tours (package tour users)

■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

2017 survey total 2,343 40.1 6.8 9.3 24.9 2.4 12.7 1.9 7.7 0.6 18.9 2.9 1.7 0.3 1.6 0.8 0.1

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

UK 66 ①61.2 9.1 12.7 ②36.1 1.7 ③30.2 2.7 5.2 ― 17.3 3.0 1.7 ― ― ― ―

France 64 ①49.4 10.1 13.9 ②27.3 4.3 ③25.9 4.4 6.2 2.7 23.8 6.2 1.3 ― 1.4 1.4 ―

Germany 47 ①71.0 2.3 12.4 ②55.1 1.8 ③32.5 2.4 6.6 ― 26.1 5.6 ― ― ― ― ―

Spain 60 ①69.7 9.3 7.4 ②58.6 ― ③48.6 1.2 5.5 ― 38.5 3.8 ― 1.9 ― ― ―

Italy 116 ①69.2 26.8 23.9 ②50.1 3.3 40.3 1.7 16.7 1.7 ③41.0 2.9 1.0 ― 0.8 0.8 ―

Other countries in western Europe 80 ①68.6 8.1 14.4 ②52.4 4.1 32.4 0.9 10.6 ― ③41.3 2.4 1.4 1.4 ― ― ―

Other places in Europe 88 ①73.3 4.7 18.8 ②48.1 0.9 ③38.4 0.9 6.9 1.2 33.4 6.4 4.4 ― ― ― ―

Other Middle East or Africa 35 ①66.4 5.5 27.9 ②47.4 2.5 17.5 5.0 16.7 2.5 ③30.5 12.2 8.1 ― 2.5 2.5 2.5

USA east 50 ①34 .4 6.7 ③13.5 ②20.8 5.7 5 .1 5.2 9.2 3.5 7 .4 5.6 3.5 1.7 3.5 3.5 3.5

USA west 59 ①34 .7 ― 3 .4 ②19 .2 ③17.4 1 .8 1.5 6.6 1.5 12 .6 1.5 1.5 ― 1.5 1.5 1.5

USA south 23 ②16.9 4.8 9.3 8.5 ①33.2 ― ― ― ― 8.6 ③9.4 ― ― ― ― ―

Canada 35 ①42.4 5.2 8.3 ②24.7 2.5 2 .5 ― 5.7 ― ③16.9 ― 2.5 ― ― ― ―

Central/South America or Caribbean 37 ①51.7 6.9 17.1 ②33.2 8.3 9.3 ― 2.9 ― ③25.6 2.3 5.3 ― ― ― ―

Hawaii (Oahu) 286 ①16 .4 ②6.5 ③6.1 4 .9 0.7 0 .6 1.3 3.0 0.9 3 .3 5.5 ― 0.6 1.9 1.3 ―

Hawaii (other than Oahu) 71 ①27 .4 ②16.6 10.2 8 .8 6.7 2 .3 1.2 8.3 2.3 ③10 .5 3.9 3.6 3.4 5.5 1.2 1.2

Guam 136 ①16 .9 6.8 ②11.2 2 .7 1.5 1 .7 2.1 3.9 1.3 4 .1 2.7 4.1 0.6 ③8.9 6.5 0.6

Saipan 17 5.1 12.6 5.1 5.1 5.1 ― 5.1 ①20.2 5.1 5.1 9.9 5.1 ― ③16.3 ②17.7 5.1

South Pacific islands or other islands 53 ②12 .5 ③10.9 ①14.6 2 .8 ― ― 9.2 3.4 2.0 3 .0 5.0 ― ― ③10.9 1.6 ―

Shanghai 37 ①62.9 4.7 14.5 ②51.0 2.9 15.9 2.4 26.6 ― ③33.6 3.1 ― ― ― ― ―

Other China (exc. Hong Kong / Macau) 20 ②62.3 ― 10.8 ①64.8 ― 25.4 ― ― ― ③33.2 ― ― ― ― ― ―

Hong Kong 71 ①43.6 1 .2 8.1 14 .3 3.1 4 .3 1.6 ③16.3 1.5 ②18.9 1.6 ― ― ― ― ―

Macau 22 ①38.0 ― 10.6 ③15.9 ― ― 5.3 10.6 ― ②19.7 5.3 ― ― ― ― ―

Taiwan 340 ①47.7 0 .8 2 .5 ②29.2 1.4 21.9 0.3 13.3 1.0 ③28.7 0.4 3.3 ― ― ― ―

Korea 195 ①22 .9 1 .2 2 .1 ③9.7 1.4 1 .9 0.4 5.9 0.6 ②10 .4 1.6 1.5 ― ― ― ―

Singapore 92 ①32 .6 10.0 5.1 ②14 .0 4.4 4 .1 9.7 8.7 ― ③11 .2 2.4 1.2 0.9 ― ― ―

Phuket 13 ②17.0 ①25.8 ②17.0 8.4 15.4 ― ― 8.6 ― 7.0 7.0 8.6 ― 7.0 ― ―

Thai beaches (other than Phuket) 13 ①24.7 ― ― ― ― ― ― ― ― ― ― ― ― ― ― ―

Bangkok or other Thai cities 44 ①31 .8 2.0 3 .4 ②19 .5 3.6 ― 2.5 4.7 ― ③12 .8 ― 5.4 ― ― ― ―

Bali 36 ①13 .9 3.2 ― ②10 .9 ― ― ― ― ― 5 .5 ― ― ― 2.4 ― ―

Malaysia 15 ①50.1 ②36.8 21.7 ③34.6 7.2 ― ― 15.3 ― 20.3 ― ― ― 7.6 ― ―

Philippines 33 ②5.8 ①8.5 2 .7 ③3.3 ― ― ― 2 .7 ― ― ― ― ― 2.5 ― ―

Vietnam 71 ①49.7 11.3 ③28.2 ②43.3 ― 3 .2 1.2 12.5 ― 26.7 4.7 1.5 ― ― ― ―

Cambodia 17 ①49.6 ― 18.7 ②49.5 ― 6.1 ― 6.6 ― ③38.1 ― 6.6 ― ― ― ―

Other places in Asia 35 ①87.6 ― 8.7 ②76.8 ― 17.0 3.0 8.6 ― ③50.3 ― ― ― ― ― ―

Australia 79 ①35.7 ②25.0 21.2 ③22.0 2.9 3 .5 13.5 1 .1 1.1 10 .4 10.1 2.5 ― 3.6 2.9 ―

New Zealand or other Oceania 28 ①63.4 17.6 ③39.3 ②45.9 ― 11.2 2.7 ― ― 31.6 6.8 ― ― 2.7 ― ―

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

2017 survey total 2,343 2.0 2.3 0.7 0.8 4.2 0.6 0.3 0.5 3.1 0.2 1.9 3.6 0.2 0.8 1.8 0.8 46.9

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

UK 66 4.1 1.8 4.8 ― 1.7 ― ― ― 1.3 ― ― 4.7 1.3 1.6 1.6 1.7 16 .3

France 64 1.7 5.8 1.7 ― 7.0 4.5 ― ― ― ― ― 4.9 1.6 ― ― ― 38 .1

Germany 47 1.8 ― ― ― 5.1 4.8 1.9 ― 2.3 ― ― 4.4 ― ― ― 2.4 17 .7

Spain 60 1.9 1.9 ― ― 21.9 1.9 ― ― 9.2 1.9 1.8 8.8 ― ― ― ― 20 .3

Italy 116 1.7 5.3 ― ― 3.6 1.4 ― ― 1.9 ― 1.0 5.5 ― ― 1.6 ― 23 .4

Other countries in western Europe 80 7.0 1.4 1.4 1.4 7.7 ― 2.7 ― 1.4 2.8 4.0 8.3 ― 2.8 ― 1.4 19 .2

Other places in Europe 88 2.2 1.0 ― ― 19.4 ― ― ― 1.2 1.2 1.0 8.3 ― 4.9 2.5 ― 17 .1

Other Middle East or Africa 35 13.4 14.7 2.5 8.3 12.3 2.5 ― ― 9.7 ― 11.2 4.6 ― 3.0 3.2 ― 22 .9

USA east 50 11.2 10.4 1.8 3.4 7.2 1.8 ― 1.7 1.7 ― 1.8 4.0 1.7 1.8 ― ― 55.6

USA west 59 1.5 1.5 2.9 ― 1.5 2.9 ― 3.9 1.8 ― 2.0 1.4 ― ― 1.9 ― 44.0

USA south 23 3.9 ― 5.1 ― ― ― ― ― ― ― 3.9 ― ― ― ― ― 53.6

Canada 35 5.5 5.5 3.1 2.4 ― ― ― ― 3.4 ― ― 3.3 ― ― 3.2 ― 40 .5

Central/South America or Caribbean 37 5.3 2.4 ― ― 3.0 ― ― ― 4.6 ― ― 6.0 ― ― ― ― 33 .0

Hawaii (Oahu) 286 1.3 3.9 1.9 0.6 1.3 0.3 ― ― 1.2 ― 0.7 ― ― 0.7 1.8 1.8 68.3

Hawaii (other than Oahu) 71 5.2 4.0 ― 2.3 2.7 ― ― 1.2 2.3 ― ― 1.2 1.2 1.5 1.6 4.4 52.7

Guam 136 2.1 3.7 0.6 0.8 3.3 1.3 ― ― 0.8 ― ― ― 0.8 0.6 6.3 ― 64.1

Saipan 17 10.2 5.1 5.1 ― 5.1 5.1 ― 6.4 6.4 ― ― ― ― ― ― 6.3 49.6

South Pacific islands or other islands 53 ― 4.1 ― 2.0 2.1 ― 2.0 2.1 2.0 2.0 ― ― ― 3.8 5.3 ― 52.3

Shanghai 37 ― ― ― ― 2.0 ― ― ― ― ― ― ― ― ― ― 2.4 16 .8

Other China (exc. Hong Kong / Macau) 20 ― ― ― ― 10.8 ― ― ― 10.8 ― 10.8 4.5 ― ― ― 4.2 22.2

Hong Kong 71 ― ― ― ― 1.6 1.2 ― 4.1 11.0 ― 1.5 1.6 ― 1.6 ― ― 49.0

Macau 22 ― ― ― ― ― ― ― 12.9 9.1 ― ― 5.3 ― ― ― ― 62.0

Taiwan 340 0.7 0.2 0.5 0.6 1.8 0.9 0.7 ― 5.1 ― 3.5 10.3 ― 0.3 1.7 ― 45.5

Korea 195 0.4 ― ― ― 4.9 ― ― 1.0 1.0 ― 1.6 0.4 ― 0.4 2.4 1.5 67.2

Singapore 92 1.2 2.4 ― 4.8 1.2 1.0 ― ― 6.1 ― 1.3 ― ― ― 0.8 ― 56.7

Phuket 13 ― 8.4 ― 8.6 ― ― ― ― 7.0 ― ― ― ― ― ― ― 67.2

Thai beaches (other than Phuket) 13 ― ― ― ― ― ― ― ― ― ― ― ― ― ― ― ― 75.3

Bangkok or other Thai cities 44 ― 2.6 ― 1.7 3.6 ― 1.7 ― 3.6 ― 1.7 1.7 ― ― ― ― 61.1

Bali 36 ― 2.4 ― ― ③8.7 ― ― ― ― ― 2.4 ― ― 3.2 ― ― 75.0

Malaysia 15 5.1 7.2 ― ― ― ― ― ― ― ― ― ― ― ― 5.6 ― 31.7

Philippines 33 ― ― ― ― ― ― ― ― ― ― ― ― ― ― 6.1 ― 79.6

Vietnam 71 ― 3.3 ― ― 10.6 1.2 ― ― ― ― ― ― ― ― 1.0 1.6 43.2

Cambodia 17 ― ― ― ― 25.5 ― ― ― ― ― 6.1 ― ― 6.6 ― ― 37.3

Other places in Asia 35 2.5 8.5 ― 2.3 15.7 ― ― ― ― ― 17.2 8.7 ― ― ― ― 9 .1

Australia 79 6.7 4.8 2.5 1.1 1.1 ― ― ― 8.1 ― ― 8.1 ― ― 1.4 2.5 39 .1

New Zealand or other Oceania 28 8.2 11.1 ― ― 4.1 ― ― ― 4.1 ― 7.1 4.2 ― ― ― ― 16.1



† 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)



（％）

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

2017 survey total 4,986 13.4 3.4 4.0 5.2 2.2 2.6 1.1 1.8 0.5 4.6 1.6 2.5 1.2 3.3 1.9 0.2

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

UK 123 ①18.9 4.3 3.4 5.7 3.7 5.7 0.7 1.8 2.3 1.8 1.6 0.9 0.6 0.7 ― 0.7

France 150 ①20.5 2.9 4.8 7.0 2.9 ②12.4 1.3 3.7 0.6 5.0 0.7 0.7 ― 1.2 0.6 0.6

Germany 114 ②9.7 0.9 1.7 ③7.4 1.9 7.3 0.7 3.4 2.5 2.7 2.7 1.0 ― ― 0.9 ―

Spain 101 ①20.5 2.2 3.3 ②16.5 1.6 4.2 ― 1.8 0.9 4.2 1.1 ― ― 1.1 ― ―

Italy 182 ①16.0 4.2 6.1 ②15.5 0.6 ③11.4 1.0 1.9 1.1 4.3 2.4 1.2 ― 1.1 ― ―

Other countries in western Europe 156 ①14.9 0.7 2.1 7.0 0.7 6.6 ― 0.5 0.7 3.3 1.2 1.4 ― 0.7 ― ―

Other places in Europe 160 ①12.5 1.2 7.0 2.3 ― 4.0 ― 0.5 ― 0.7 1.9 ― ― ― ― ―

Other Middle East or Africa 65 ①10.8 4.0 5.7 ③7.2 2.7 1.3 1.3 2.7 1.8 6.1 ― 1.7 ― 1.3 1.3 2.7

USA east 148 ②10.5 4.1 3.8 3.6 5.1 ③7.6 2.3 2.4 0.6 1.7 0.6 1.3 0.6 1.3 0.6 1.2

USA west 177 ①12.1 1.1 3.3 4.8 ③9.7 1.6 0.5 0.6 ― 2.8 ― 1.2 0.6 ― ― 1.1

USA south 50 3 .9 4.1 ③7.7 ― ①30.8 ― 2.2 3.4 ― 2.1 1.7 ― ― 4.3 6.0 ―

Canada 90 ①21.2 4.0 2.2 ②6.0 1.0 1.3 ― 3.2 ― ③5.9 ― ― ― ― ― 0.9

Central/South America or Caribbean 66 ①31.7 4.3 ③10.7 ②11.5 1.3 1.1 ― 2.6 ― 2.9 1.3 1.3 ― 6.0 4.2 1.3

Hawaii (Oahu) 538 ①19.9 6.1 8.0 2.5 1.5 1.5 1.9 3.9 1.1 5.9 4.8 1.8 3.2 ③9.0 5.8 0.2

Hawaii (other than Oahu) 133 ①19.4 ②16.5 ③15.4 5.7 1.8 2.9 2.8 4.3 2.1 9.3 5.1 5.2 6.2 7.9 8.1 1.3

Guam 241 ③12.4 8.0 7.3 3.0 1.2 1.2 2.3 1.5 0.4 7.3 2.2 1.7 3.0 ②13.4 ①13.5 0.4

Saipan 27 3.0 ①17.4 9.0 ― 6.4 3.2 3.2 ― ― 6.4 4.2 4.2 ― ③11.0 10.0 3.2

South Pacific islands or other islands 78 ③7.9 ②15.2 6.8 2.8 1.1 2.8 3.9 3.5 1.4 2.9 4.0 4.3 ― ①27.6 7.2 1.1

Shanghai 98 ①10.4 ― 4.2 ②8.4 ③5.4 1.9 1.7 2.0 ― 3.8 0.9 4.4 ― ― ― ―

Beijing 20 ①19.6 ③4.4 ③4.4 ②5.5 ― ― ― ― ― ③4.4 ― ― ― ― ― ―

Other China (exc. Hong Kong / Macau) 60 ②6.9 ― 1.9 ③5.4 ― 1.8 ― 1.9 1.9 4.9 ― ― ― ― ― ―

Hong Kong 183 ①10.3 0.9 1.2 2.3 ③6.0 0.6 1.5 2.3 ― ②6.5 2.4 1.8 0.6 ― ― ―

Macau 49 ②6.4 1.7 ― 3.9 4.7 ― ― 2.4 ― ①8.7 ― ― ― ― ― ―

Taiwan 699 ①13.0 0.8 0.7 ②5.9 0.6 2.6 0.4 1.8 0.4 ③5.6 0.2 2.6 0.4 0.2 0.2 0.2

Korea 452 ①8.0 ― 0.5 3.9 1.5 0.4 0.2 1.3 0.2 ③4.1 0.2 3.9 0.2 0.2 ― ―

Singapore 178 ①9.6 1.5 1.2 3.1 6.9 3.2 ③7.7 0.5 1.0 ②9.1 0.6 2.3 0.8 0.6 ― ―

Phuket 27 4.2 ②19.0 3.3 2.8 ― ― ― ― ― ― ― ③8.4 ― ①21.8 2.8 ―

Thai beaches (other than Phuket) 31 3 .4 ― ― ③3.5 ― ― ― ― ― ― ― ― ①3.8 ― ― ―

Bangkok or other Thai cities 204 ①9.3 2.5 1.9 ②5.4 0.6 0.4 ― 1.0 0.4 2.4 1.7 3.3 ③4.8 ― ― ―

Bali 68 ①17.2 8.2 1.3 8.9 1.3 ― 1.7 ― 1.3 ― ― ②16.7 1.3 ③15.0 4.5 ―

Malaysia 58 ②6.9 1.4 ― ①8.1 3.2 1.4 ― ― ― 4.0 1.9 2.0 ③5.0 ― ― ―

Philippines 114 6 .0 ①12.1 3.9 ― 0.9 0.8 ― 3.5 ― 2.9 1.0 3.0 1.7 ②11.2 ③6.3 ―

Vietnam 136 ①17.0 2.2 ③9.3 ②10.6 1.5 2.1 0.7 1.6 ― 6.7 2.2 6.6 0.9 ― ― ―

Cambodia 34 ①17.4 ― 5.5 ②16.7 ― ― ― 3.1 ― 2.4 ― 2.4 ― ― ― ―

Other places in Asia 78 ①12.8 ― ― ③3.4 ― 1.0 ― ― ― 1.4 ― ②4.4 ― ― ― ―

Australia 151 ①20.1 7.7 ②11.7 ③8.5 1.5 2.4 4.8 2.0 0.6 7.4 4.8 0.6 ― 8.3 1.5 ―

New Zealand or other Oceania 48 ②12.3 6.8 ①16.1 5.3 1.7 ― ― 1.5 2.2 2.3 1.5 4.7 4.0 3.3 ― ―

Used 2,343 ①16.8 4.8 5.3 ②6.4 2.7 3.2 1.6 2.5 0.8 ③5.5 2.1 3.4 0.7 5.1 3.0 0.2

Didn't use 1,726 ①7.8 1.4 2.2 2.9 2.0 2.0 0.5 0.7 0.4 3.3 0.9 2.2 1.4 1.4 0.7 0.1

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

2017 survey total 4,986 1.4 1.8 0.8 0.5 3.7 1.1 0.3 0.4 1.9 0.1 0.7 2.3 3.0 2.0 52.5 7.1

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

UK 123 1.4 0.9 2.5 ― ②9.7 5.4 ― 1.5 0.6 ― ― ③7.8 2.5 0.9 41 .1 5.9

France 150 1.3 1.3 1.2 ― 2.9 2.0 0.6 ― 1.9 ― ― ③7.2 1.9 1.4 51.0 4.7

Germany 114 ― 1.7 0.8 ― 4.7 4.5 0.8 ― 1.9 ― 0.7 ①13.8 1.5 2.9 53.2 6.4

Spain 101 1.0 1.1 1.1 ― ③7.6 3.9 1.1 ― 3.1 ― ― 5.7 1.1 5.1 47 .1 3.1

Italy 182 ― ― 0.5 ― 2.7 1.8 1.0 ― 2.8 ― ― 5.2 1.6 1.6 51.7 3.3

Other countries in western Europe 156 0.7 1.4 0.7 0.7 ②8.9 2.0 ― ― ― 0.7 ― ③7.2 3.8 2.1 57.8 4.3

Other places in Europe 160 0.7 0.7 ― 0.7 ③8.0 ― ― ― ― ― 0.7 ②8.1 2.7 3.3 63.3 1 .2

Other Middle East or Africa 65 4.0 ②9.2 2.6 ― ― ― ― ― 3.1 1.3 3.1 4.7 ― 4.2 61.5 3.3

USA east 148 1.7 1.9 1.3 1.3 ①16.3 5.6 0.6 ― 2.8 0.6 1.2 1.9 5.2 3.7 47 .0 8.4

USA west 177 1.1 2.0 1.2 0.5 9.6 4.0 0.9 0.4 2.3 0.5 0.5 2.6 ②10.3 2.7 45 .8 6.2

USA south 50 ― ― ― ― 1.5 ― 2.2 ― ― ― ― ― ②9.0 1.8 35 .4 11.8

Canada 90 0.8 2.4 ― ― 2.5 2.8 ― ― ― ― ― 2.4 5.6 6.6 53.4 5.8

Central/South America or Caribbean 66 8.1 3.0 1.3 ― 1.3 3.4 ― 1.3 1.3 ― ― 3.3 1.8 3.2 39 .7 3.0

Hawaii (Oahu) 538 3.5 5.1 1.9 0.6 3.1 ― 0.5 0.4 2.3 ― 0.7 ― ②11.3 2.1 32 .9 6.9

Hawaii (other than Oahu) 133 10.8 7.3 2.4 2.1 3.1 ― 0.6 ― 4.5 ― 0.6 0.6 9.3 3.7 23 .6 9.1

Guam 241 1.6 4.8 2.2 0.4 2.9 ― 0.4 ― 2.6 0.7 1.8 0.4 3.5 3.6 37 .7 7.0

Saipan 27 3.2 ②11.6 ― ― ― ― ― ― 3.2 3.2 3.2 3.2 6.8 8.2 49.2 4.0

South Pacific islands or other islands 78 2.2 2.5 2.3 ― 2.8 ― ― 1.4 5.8 1.4 ― 2.8 1.0 1.1 43 .2 5.4

Shanghai 98 ― 1.1 ― ― 5.1 2.0 ― ― 1.1 ― ― 1.1 0.8 2.3 58.0 6.2

Beijing 20 ― ― ― ― 4.1 ― ― ― ― ― ― ― ― ― 70.9 5.4

Other China (exc. Hong Kong / Macau) 60 ― ― ― ― ①8.7 ― ― ― 3.6 ― 3.6 ― ― 1.8 68.0 9.8

Hong Kong 183 ― ― ― ― 2.2 0.5 ― 2.2 3.1 ― ― 1.2 0.6 1.0 62.6 9.4

Macau 49 ― ― ― ― 3.9 ― ― ③5.7 4.0 ― ― 2.4 ― 2.4 59.0 6.1

Taiwan 699 ― ― 0.3 0.1 0.9 0.3 0.3 0.3 1.3 0.1 0.8 2.3 0.4 1.6 64.2 7.3

Korea 452 1.5 0.2 0.5 ― ②5.2 0.2 0.7 0.5 1.0 0.2 1.2 1.9 ― 0.2 63.4 9.6

Singapore 178 0.6 ― ― 3.7 1.3 1.5 ― 2.2 3.8 ― ― 0.7 0.4 3.2 49.9 9.6

Phuket 27 4.0 ③8.4 ― 4.2 ― ― ― ― 7.5 ― ― ― 3.1 ― 49.3 3.3

Thai beaches (other than Phuket) 31 ― ― ― ②3.6 ③3.5 ― ― ― ― ― ― ― 2.7 ― 75.8 7.3

Bangkok or other Thai cities 204 0.8 2.4 0.9 ― 2.9 0.5 ― ― 1.9 ― 0.5 1.6 1.2 2.1 63.5 6.8

Bali 68 1.6 3.2 2.9 ― 2.9 ― 1.2 ― 1.3 ― ― ― ― 1.3 41 .4 5.8

Malaysia 58 1.8 ― ― ― ― ― ― 1.3 ― 2.0 2.0 1.8 ― ― 65.9 8.0

Philippines 114 ― 1.0 ― 0.8 ― ― ― ― 0.8 ― 1.0 ― 1.4 ― 55.2 13.2

Vietnam 136 0.8 ― ― 0.6 1.6 1.5 ― ― 2.3 ― 1.2 1.6 0.8 0.6 50.5 9.4

Cambodia 34 ― ― ― ― ③5.9 ― ― ― ― ― ― ― ― 5.9 66.6 ―

Other places in Asia 78 ― ― ― ― 1.3 ― ― ― ― ― ― 2.0 ― 3.4 69.1 10.7

Australia 151 3.5 7.8 2.0 2.2 0.8 0.8 0.6 0.6 3.5 ― 1.5 4.2 4.1 2.3 43 .2 4.5

New Zealand or other Oceania 48 7.0 7.0 1.7 ― ― ― 2.2 ― ― ― 2.4 1.8 ③9.5 6.8 36 .4 2.3

Used 2,343 1.9 2.4 0.8 0.6 3.8 1.1 0.4 0.6 2.8 0.2 0.9 1.3 1.4 1.3 48.3 5.0

Didn't use 1,726 1.0 1.1 0.8 0.3 3.7 1.4 0.2 0.3 1.0 0.1 0.3 ③4.4 ②5.3 3.3 61.0 5.4




Package

use

Last

destination

(middle

classification)

Last

destination

(middle

classification)

Package

use

33


3) What was Booked Prior to Departure (Total)

■What was booked prior to departure (Total/Multiple answers)



34


4) What was Booked at Destinations (Total)

■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

2017 survey total 4,986 6.0 2.0 2.8 3.3 1.2 4.1 1.8 1.1 0.4 5.6 0.7 5.2 1.0 1.9 1.6 ―

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

UK 123 ②10.2 2.4 3.2 ③8.9 0.9 ①11.3 1.6 3.2 1.6 4.5 ― 1.6 0.7 0.7 ― ―

France 150 ②13.1 0.6 4.7 ③11.5 2.2 ①16.4 1.9 0.7 ― 4.0 ― ― 0.7 ― ― ―

Germany 114 4.0 0.9 3.8 5.2 0.8 ①13.0 1.8 1.7 2.5 ③7.8 2.0 1.0 ― ― ― ―

Spain 101 ①9.8 1.1 3.0 ②7.4 1.1 ③6.0 3.2 0.7 ― 4.4 ― ― 1.1 ― ― ―

Italy 182 4.1 1.9 2.3 4.3 0.5 ③6.6 1.7 1.1 ― ①7.8 0.6 0.6 ― 0.6 ― ―

Other countries in western Europe 156 ③5.9 2.2 4.6 2.0 1.3 ①14.2 1.3 0.5 ― 5.0 0.5 0.7 1.5 ― 0.7 ―

Other places in Europe 160 ③6.4 2.5 3.8 3.8 ― ①12.3 ― 1.2 0.7 4.0 0.7 ― ― ― 0.7 ―

Other Middle East or Africa 65 ①15.8 1.3 ③6.2 2.5 ― 5.9 3.0 1.3 2.6 3.2 1.3 ― ― ― ― ―

USA east 148 ③7.4 3.7 5.0 2.7 4.2 ①13.3 2.7 3.2 0.6 6.2 2.3 ― ― ― ― ―

USA west 177 ②6.3 0.5 2.2 2.8 4.1 3.5 2.9 1.1 0.5 ②6.3 0.5 0.5 2.1 ― ― 0.6

USA south 50 2.2 ― 1.7 ― ①8.0 ― 2.2 2.2 ― 3.8 ― ― ― ― ― ―

Canada 90 ①15.6 3.3 2.0 1.0 1.3 3.4 2.0 ― ― ②5.4 ― 1.3 1.2 ― ― 1.2

Central/South America or Caribbean 66 ①16.9 3.4 ③5.6 4.1 ― ②6.3 1.7 1.6 ― 5.2 1.3 1.7 ― 1.3 1.7 ―

Hawaii (Oahu) 538 ②7.8 4.1 4.4 2.0 0.9 0.7 0.7 3.1 0.4 ①8.3 1.3 2.9 1.9 3.6 3.3 ―

Hawaii (other than Oahu) 133 ③5.7 3.9 ②6.5 3.5 2.3 1.4 ― 1.8 0.6 3.4 4.9 3.8 ①7.1 5.4 3.0 ―

Guam 241 4.4 1.9 ②6.1 1.5 0.8 0.4 3.7 1.6 0.7 5.5 0.8 2.5 1.1 ③5.8 ①7.0 ―

Saipan 27 10.1 ③13.3 5.8 ― ― 3.2 6.4 3.2 3.2 3.9 ― ②17.7 ― 10.0 ①24.2 ―

South Pacific islands or other islands 78 4.9 ③10.6 8.8 5.1 ― 1.1 4.3 1.4 1.4 5.7 1.1 ②14.7 ― ①28.9 9.5 ―

Shanghai 98 ①6.9 0.9 3.5 3.9 ― 2.2 0.8 1.1 0.9 ③4.7 ― ②6.8 ― 0.9 ― ―

Beijing 20 ①25.4 ― 4.1 ②14.9 ― 5.4 ― ― ― 4.1 ― 5.4 ― ― ― ―

Other China (exc. Hong Kong / Macau) 60 3.0 ― ― 4.5 ― ①8.3 3.1 ― ― 4.3 ― 3.9 1.3 ― ― ―

Hong Kong 183 ③5.8 0.4 1.6 3.1 1.5 1.6 0.6 1.2 ― ②6.2 1.2 ①7.9 0.6 ― ― ―

Macau 49 ②4.7 ― ― 1.5 2.3 1.5 ― ― ― ②4.7 1.5 ①9.4 1.7 ― ― ―

Taiwan 699 3.6 0.7 0.6 2.5 0.5 3.6 1.5 0.7 0.2 ③4.6 0.3 ①7.5 0.1 0.2 0.1 ―

Korea 452 ③3.0 ― 0.9 1.9 0.6 1.1 ― 1.1 0.5 ②3.9 0.2 ①7.4 0.2 ― ― ―

Singapore 178 1.2 1.0 1.0 1.1 ③4.7 1.1 ②7.2 0.6 0.4 ①8.3 ― 1.9 ― 1.7 1.2 ―

Phuket 27 7.1 ②13.5 3.1 ― 4.0 ― ― ― ― 3.3 ― ①23.2 2.8 ③11.3 ― ―

Thai beaches (other than Phuket) 31 ― ①15.6 ― 3.5 ― ― ― ― ― 2.7 3.7 ②11.7 3.8 ③9.1 3.7 ―

Bangkok or other Thai cities 204 ②7.1 2.5 1.0 2.8 ― 1.9 1.0 ― ― 4.5 0.9 ①13.6 2.8 0.6 0.6 ―

Bali 68 6.2 1.6 1.7 ②9.9 ― 1.2 ― 1.6 ― 3.3 ― ①20.3 ― 5.0 5.8 ―

Malaysia 58 ①8.8 4.6 ③7.1 1.8 ― 6.2 1.8 ― ― 6.8 1.3 ②7.3 3.7 ― 1.9 ―

Philippines 114 4.5 6.1 5.0 3.4 ― 0.9 3.0 2.7 ― 3.1 ― ①12.3 0.7 ②9.5 ③8.8 ―

Vietnam 136 ②8.2 2.4 3.7 7.5 1.5 3.7 1.5 1.3 1.2 ③7.7 0.8 ①10.2 0.9 ― ― ―

Cambodia 34 3.3 ― ― ①22.3 ― ③3.4 ― ― ― ③3.4 2.2 ②16.5 ― ― ― ―

Other places in Asia 78 ①12.9 ― ― ― 1.1 2.7 ― ― ― 1.0 ― ②8.7 ― ― ― ―

Australia 151 ①10.8 4.6 6.5 5.9 4.4 5.0 ②10.2 ― 1.3 ③9.3 2.0 2.8 0.7 3.5 5.5 ―

New Zealand or other Oceania 48 3.1 2.2 5.5 ①6.3 ― 3.4 3.9 2.3 2.3 ①6.3 2.3 4.7 3.9 2.2 ― ―

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

2017 survey total 4,986 0.8 1.1 0.5 0.4 2.7 0.6 0.3 0.4 1.5 0.1 0.5 2.6 2.0 1.1 59.3 6.4

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

UK 123 ― 1.6 ― 1.4 4.2 2.2 ― ― 3.8 ― ― 3.4 0.7 0.9 51 .7 4.0

France 150 1.7 ― 0.6 1.1 2.0 1.3 0.6 ― 0.8 0.7 ― 8.3 1.3 ― 52 .4 5.7

Germany 114 ― ― ― ― 6.3 0.7 0.8 ― 2.8 ― ― ②9.5 ― 0.9 63.8 4.7

Spain 101 ― 1.1 1.1 ― 5.3 1.8 ― ― 2.1 ― 2.2 4.2 0.7 ― 55.9 7.4

Italy 182 0.9 ― 0.5 ― 0.6 1.1 0.5 ― 1.3 ― ― ②6.9 ― ― 64.8 5.1

Other countries in western Europe 156 1.5 1.2 1.4 ― 5.3 1.7 0.7 0.6 0.7 ― 0.7 ②7.5 0.5 1.4 61.8 3.5

Other places in Europe 160 ― 1.4 0.7 ― ②6.5 1.2 ― ― 1.7 ― 0.7 4.0 1.2 1.5 66.6 2.0

Other Middle East or Africa 65 ②7.0 5.9 1.3 5.3 6.1 1.3 ― ― 4.8 ― ― 1.8 ― 3.4 59.1 1 .3

USA east 148 1.7 1.9 2.3 0.6 ②12.6 6.2 0.7 1.2 2.8 0.8 ― 2.0 1.3 2.1 46 .8 6.4

USA west 177 0.5 1.8 0.4 0.5 ①6.8 3.5 2.1 2.6 0.6 ― ― 1.7 6.0 1.1 59.7 4.2

USA south 50 ― 2.2 ― 2.2 ③4.3 ②4.4 ― ― ― ― ― ― 4.0 ― 73.4 5.7

Canada 90 2.1 ③3.5 ― ― ― 2.6 ― ― 1.3 ― ― 1.2 3.4 4.2 58.5 3.1

Central/South America or Caribbean 66 1.3 2.9 ― 1.3 2.9 1.1 ― 1.3 1.6 ― ― ― 1.3 1.7 66.2 ―

Hawaii (Oahu) 538 1.7 1.2 1.1 0.4 1.1 0.2 0.2 0.1 0.8 ― 0.4 ― ③5.4 0.5 47 .9 9.9

Hawaii (other than Oahu) 133 3.5 1.2 ― 1.9 1.4 0.6 0.7 ― 0.6 ― ― ― 5.2 1.4 44 .4 9.9

Guam 241 1.6 1.6 0.4 0.7 1.5 0.4 0.4 ― 1.3 0.4 0.3 ― 3.8 2.7 52 .1 8.1

Saipan 27 3.2 6.4 3.0 3.2 9.0 3.2 ― 3.2 ― ― ― ― 5.9 3.0 41.1 ―

South Pacific islands or other islands 78 2.1 2.2 1.4 3.2 1.4 ― ― ― 1.4 ― 1.4 ― 3.5 2.6 31 .2 5.5

Shanghai 98 ― ― ― ― 3.1 ― ― ― 2.3 ― ― 2.2 1.1 1.1 67.4 5.3

Beijing 20 ― ― ― ― ③9.4 ― 5.4 ― 5.3 ― ― ― ― ― 46.1 5.5

Other China (exc. Hong Kong / Macau) 60 ― ― ― ― ②6.3 ― 1.8 ― 3.6 ― 1.8 ③4.8 3.3 1.8 64.4 3.8

Hong Kong 183 0.6 0.5 ― ― 1.0 0.5 0.8 0.6 3.1 ― ― 2.5 0.6 0.6 66.2 10.1

Macau 49 ― ― ― ― 3.9 ― 1.5 3.2 1.5 ― ― 1.7 ― ― 72.6 3.9

Taiwan 699 0.1 ― ― ― 0.3 ― 0.1 ― 1.0 0.3 0.9 ②5.5 0.5 0.5 68.6 6.5

Korea 452 0.4 0.2 0.2 0.2 2.9 ― ― 0.6 0.7 ― 0.2 2.3 ― ― 71.1 6.7

Singapore 178 ― 1.0 0.6 1.9 ― 0.4 ― 3.0 2.4 ― ― 1.9 1.1 ― 60.9 7.9

Phuket 27 ― ― ― ― 4.2 ― ― ― 3.1 ― ― ― ― ― 43.9 3.3

Thai beaches (other than Phuket) 31 3.7 ― ― ― 3.7 ― 3.5 ― ― ― ― ― 5.5 ― 54 .3 10.8

Bangkok or other Thai cities 204 0.4 2.5 ― ― ③5.0 1.4 0.5 ― 1.9 0.4 ― 2.2 1.6 1.5 58.9 5.8

Bali 68 ― 2.9 1.7 1.3 ②9.9 ― ― ― 4.1 ― ― 1.6 3.2 1.6 47 .6 6.1

Malaysia 58 ― ― ― ― 5.2 ― 1.9 3.3 1.3 ― 1.3 5.7 1.5 ― 59.0 4.8

Philippines 114 1.0 3.3 1.9 ― ― 0.8 ― ― 2.3 ― ― 1.0 ― ― 50 .9 7.9

Vietnam 136 ― 0.6 ― 1.5 3.8 ― ― ― 0.8 ― 2.7 ― 0.8 2.5 56.2 6.3

Cambodia 34 ― ― 2.4 ― ― ― 3.2 ― ― ― ③3.4 ― ③3.4 9.2 49 .3 ―

Other places in Asia 78 2.5 ③4.2 1.1 ― 3.8 ― ― ― ― ― 1.5 1.1 4.1 1.0 58.5 6.7

Australia 151 3.3 1.9 1.5 1.8 0.8 1.1 ― 0.6 2.6 ― 1.3 2.2 5.4 2.7 39 .4 3.6

New Zealand or other Oceania 48 ― 5.6 ①6.3 1.5 ― 1.7 ― ― 1.7 ― 2.4 1.5 1.5 3.7 53 .9 7.5




Last

destination

(middle

classification)

Last

destination

(middle

classification)



35

10. Amount of Money Used at Destinations

1) Total

■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.

2017

survey

2016

survey


2017 survey total 4,069 1.5 2.8 4.5 5.4 4.3 15.8 6.4 15.7 10.4 8.2 23.7 1.2 19.7 ▲ 2.2

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

Sex Male 2,113 1.2 2.2 3.5 4.7 4.1 14.7 6.7 16.3 11.0 9.1 25.3 1.1 21.6 23.1 ▲ 1.5

Female 1,957 1.7 3.5 5.6 6.1 4.6 17.0 6.2 14.9 9.8 7.3 22.0 1.4 17.6 20.6 ▲ 3.0

Male 18-29 yrs 280 2.4 2.0 3.6 5.2 3.2 11.9 7.1 15.9 10.3 11.9 25.4 1.2 20.6 20.2 0.4

Male 30-39 yrs 417 1.3 0.4 2.3 3.6 1.7 11.4 6.8 19.0 13.3 9.1 29.0 2.1 23.5 21.9 1.6

Male 40-49 yrs 546 1.1 2.6 3.7 4.9 5.8 14.2 7.0 17.4 11.1 7.6 24.4 0.5 21.0 21.4 ▲ 0.4

Male 50-59 yrs 395 1.3 3.4 2.8 4.7 3.6 18.3 6.8 14.6 9.5 9.1 24.6 1.3 23.2 21.5 1.7

Male 60 yrs or older 474 0.7 2.5 4.7 5.4 5.4 16.7 5.8 14.5 10.7 9.2 23.9 0.7 19.8 28.6 ▲ 8.8

Female 18-29 yrs 468 1.6 2.8 4.4 6.0 5.6 21.4 7.0 14.9 10.5 7.4 17 .2 1.2 15.8 18.4 ▲ 2.6

Female 30-39 yrs 412 2.2 3.0 5.4 6.8 4.3 15.2 6.5 14.7 9.5 8.7 22.8 0.8 18.1 20.7 ▲ 2.6

Female 40-49 yrs 397 1.2 3.2 6.1 4.9 3.2 15.4 6.4 16.8 9.9 5.5 26.4 1.2 20.5 21.5 ▲ 1.0

Female 50-59 yrs 322 1.8 4.7 5.1 4.7 2.9 16.3 6.5 15.9 10.9 8.0 20.7 2.5 16.8 19.8 ▲ 3.0

Female 60 yrs or older 357 1.9 4.2 7.4 7.7 6.5 15.8 4.2 12.3 8.1 6.8 23.5 1.6 16.8 23.3 ▲ 6.5

Kanto 2,501 1.6 2.4 3.9 5.2 4.2 16.1 6.2 15.5 10.5 8.5 24.7 1.2 20.5 22.0 ▲ 1.5

Kansai 983 1.1 3.7 5.3 5.1 4.6 16.6 6.9 15.5 10.7 7.7 21.8 1.0 18.1 23.0 ▲ 4.9

Tokai 585 1.6 3.1 5.7 6.7 4.5 13.4 6.7 16.6 9.6 7.7 22.8 1.6 18.5 19.5 ▲ 1.0

Worker (child 7 yrs and over) 1,428 1.1 2.7 4.4 5.6 4.4 15.0 5.4 16.7 10.0 8.1 25.3 1.4 20.5 25.0 ▲ 4.5

Worker (child 2-6 yrs) 185 2.3 1.2 2.0 2.6 1.5 11.1 6.2 13.8 13.0 12.9 31.5 1.7 26.5 29.1 ▲ 2.6

Worker (child 1 yr and under) 116 4.2 1.0 2.8 4.3 2.7 7 .4 9.9 13.0 17.9 7.4 28.3 1.0 26.3 20.6 5.7

Worker (married, no children) 858 1.0 2.2 3.8 4.6 3.5 16.0 5.6 14.3 11.1 7.6 29.1 1.1 22.4 22.8 ▲ 0.4

Worker (unmarried) 1,329 1.8 3.6 5.3 5.9 5.2 17.7 7.2 15.8 10.0 8.2 18 .1 1.3 15.5 17.2 ▲ 1.7

Unmarried male 701 1.7 3.0 4.2 6.0 4.6 14.4 8.0 16.7 11.0 9.0 20.1 1.3 18.2 18.1 0.1

Unmarried female 20s/30s 541 1.6 3.7 5.9 6.5 6.7 22.1 7.9 15.0 7.9 8.3 13 .2 1.0 12.7 15.4 ▲ 2.7

Unmarried female 40s and over 234 2.5 5.5 8.4 4.5 3.5 17.8 6.0 15.4 8.9 5.5 21.3 1.0 15.9 18.0 ▲ 2.1

Student 153 2.2 3.6 7.2 7.8 5.0 17.9 10.8 16.4 5.7 8.4 15 .1 ― 18.5 16.4 2.1

Light 594 1.2 1.9 4.6 4.8 3.8 18.5 7.3 15.3 10.7 7.4 23.2 1.3 19.5 20.5 ▲ 1.0

Middle 979 1.6 3.3 4.4 5.4 4.7 17.2 7.1 16.3 11.2 8.1 19.9 1.0 18.0 19.6 ▲ 1.6

Heavy 2,496 1.5 2.9 4.5 5.5 4.3 14.6 6.0 15.5 10.1 8.5 25.4 1.3 20.4 23.2 ▲ 2.8




† "Total amount" includes expenses used locally for things other than "shopping," "meals," and "sightseeing and activities"

Number of

trips taken

Average (in 10s of 1000s of yen)

Sex & age

Area of

residence

Life

stage

0

5

10

15

20

25

30

2017 survey total

2016 survey total

（％）



36

10. Amount of Money Used at Destinations2) Shopping Costs

■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.2017

survey

2016

survey


2017 survey total 4,069 6.9 9.4 22.6 18.0 14.9 15.4 11.2 1.7 4.3 0.0

2016 survey total 3,979 6.2 7.3 23.3 17.2 14.9 17.4 12.2 1.6 4.3

Sex Male 2,113 8.0 8.8 22.2 17.0 14.6 16.2 11.5 1.8 4.4 4.2 0.2

Female 1,957 5.7 10.0 23.1 19.1 15.4 14.5 10.7 1.6 4.2 4.4 ▲ 0.2

Male 18-29 yrs 280 9.5 8.3 21.4 16.7 14.3 14.7 12.3 2.8 3.8 3.9 ▲ 0.1

Male 30-39 yrs 417 6.3 7.4 20.5 16.7 16.5 19.9 10.1 2.5 4.6 4.1 0.5

Male 40-49 yrs 546 7.6 11.0 23.1 17.8 13.5 14.9 11.3 0.8 4.2 3.4 0.8

Male 50-59 yrs 395 8.7 9.3 23.1 15.7 14.7 14.4 12.5 1.7 5.4 4.8 0.6

Male 60 yrs or older 474 8.3 7.4 22.3 17.4 14.1 17.0 11.8 1.8 4.0 4.7 ▲ 0.7

Female 18-29 yrs 468 7.2 11.6 23.3 18.4 15.3 14.7 8.4 1.2 3.5 3.4 0.1

Female 30-39 yrs 412 4.3 12.5 20.9 17.7 18.5 15.2 10.1 0.8 4.6 4.9 ▲ 0.3

Female 40-49 yrs 397 5.8 9.9 23.5 17.7 13.3 13.3 15.4 1.2 5.3 4.2 1.1

Female 50-59 yrs 322 5.1 8.0 22.1 22.8 14.1 14.1 10.9 2.9 3.6 5.1 ▲ 1.5

Female 60 yrs or older 357 5.5 6.8 25.8 19.7 15.2 15.2 9.4 2.6 3.7 5.0 ▲ 1.3

Kanto 2,501 7.1 9.4 22.8 17.4 15.3 15.5 10.8 1.6 4.3 4.1 0.2

Kansai 983 6.4 9.9 22.3 18.2 15.4 14.1 12.1 1.6 4.1 4.8 ▲ 0.7

Tokai 585 6.5 8.1 22.3 20.1 12.6 17.2 11.1 2.3 4.5 4.4 0.1

Worker (child 7 yrs and over) 1,428 5.1 6.2 22.5 19.0 15.3 17.4 12.4 2.0 4.5 5.0 ▲ 0.5

Worker (child 2-6 yrs) 185 5.2 4 .1 19.8 15.3 17.2 19.3 17.3 1.7 7.9 7.1 0.8

Worker (child 1 yr and under) 116 6.9 0 .9 15 .0 19.4 17.4 19.0 19.7 1.8 7.5 3.7 3.8

Worker (married, no children) 858 6.2 7.9 20.8 18.1 15.3 15.8 14.2 1.6 5.1 4.1 1.0

Worker (unmarried) 1,329 9.0 15.3 24.6 16.9 13.8 12.0 6.7 1.7 2.9 3.4 ▲ 0.5

Unmarried male 701 11.1 13.8 24.5 16.3 13.0 13.3 6 .0 1.9 2.8 3.2 ▲ 0.4

Unmarried female 20s/30s 541 6.9 15.7 24.6 18.7 16.3 11.8 5 .1 1.0 2.7 3.3 ▲ 0.6

Unmarried female 40s and over 234 8.4 13.9 25.7 15.9 10.9 11.4 12.4 1.5 3.8 3.6 0.2

Student 153 10.1 7.9 25.6 18.6 15.1 15.8 6.9 ― 2.9 2.9 0.0

Light 594 5.5 8.1 22.5 20.0 14.1 18.4 9.4 1.9 4.2 3.9 0.3

Middle 979 4.9 9.9 23.3 17.2 17.8 15.5 9.8 1.5 4.2 4.2 0.0

Heavy 2,496 8.0 9.4 22.4 17.8 14.0 14.6 12.1 1.7 4.4 4.5 ▲ 0.1




Number of

trips taken


Sex & age

Area of

residence

Life

stage

0

5

10

15

20

25

30

2017 survey total

2016 survey total

（％）



37

10. Amount of Money Used at Destinations3) Meal Costs

■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.2017

survey

2016

survey


2017 survey total 4,069 8.0 9.7 26.2 20.0 15.9 13.6 4.6 1.8 2.6 ▲ 0.2

2016 survey total 3,979 7.6 8.3 25.6 20.4 17.6 13.8 5.1 1.6 2.8

Sex Male 2,113 5.7 7.6 24.5 21.5 18.3 14.9 5.7 1.8 2.9 3.1 ▲ 0.2

Female 1,957 10.6 12.1 28.2 18.5 13.2 12.2 3.4 1.8 2.3 2.6 ▲ 0.3

Male 18-29 yrs 280 5.6 9.1 23.4 24.2 15.1 16.7 2.8 3.2 2.6 2.6 0.0

Male 30-39 yrs 417 4.0 5.3 20 .9 23.0 21.4 17.3 5.5 2.5 3.2 3.2 0.0

Male 40-49 yrs 546 6.1 7.9 26.6 21.5 18.7 13.5 5.2 0.5 2.8 2.8 0.0

Male 50-59 yrs 395 5.3 8.3 24.0 19.5 20.0 15.1 6.4 1.3 3.1 3.2 ▲ 0.1

Male 60 yrs or older 474 7.1 7.6 26.1 20.3 15.6 13.2 7.8 2.2 3.1 3.6 ▲ 0.5

Female 18-29 yrs 468 7.9 13.5 33.3 21.2 10 .2 10.5 2.3 1.2 2.1 2.3 ▲ 0.2

Female 30-39 yrs 412 8.4 14.7 26.1 18.2 16.3 12.8 2.7 0.8 2.3 2.8 ▲ 0.5

Female 40-49 yrs 397 8.1 12.2 27.8 18.0 12.5 14.8 5.5 1.2 2.7 2.8 ▲ 0.1

Female 50-59 yrs 322 10.5 13.4 24.6 17.8 16.3 10.5 2.9 4.0 2.2 2.7 ▲ 0.5

Female 60 yrs or older 357 19.4 6.1 27.4 16.5 11.6 12.6 3.9 2.6 2.3 2.2 0.1

Kanto 2,501 7.6 8.9 25.4 21.0 16.1 14.4 5.0 1.6 2.7 2.9 ▲ 0.2

Kansai 983 9.1 10.8 29.8 17.7 14.5 12.0 4.0 2.0 2.4 2.8 ▲ 0.4

Tokai 585 8.1 11.6 23.9 20.0 16.9 12.9 4.2 2.4 2.6 2.6 0.0


Worker (child 2-6 yrs) 185 5.7 2 .1 19 .7 21.7 19.2 22.8 7.1 1.7 3.5 4.2 ▲ 0.7

Worker (child 1 yr and under) 116 9.5 4 .6 14 .3 20.4 25.1 15.6 8.7 1.8 3.5 3.0 0.5



Unmarried male 701 6.6 10.9 29.0 23.5 13.5 11.9 3.0 1.6 2.4 2.5 ▲ 0.1

Unmarried female 20s/30s 541 9.8 17.1 36.0 20.1 9 .6 4 .9 1.6 1.0 1.7 2.0 ▲ 0.3

Unmarried female 40s and over 234 14.3 17.8 33.2 14 .9 7 .9 7 .9 2.0 2.0 1.8 2.2 ▲ 0.4

Student 153 9.3 11.4 40.0 17.9 12.0 7 .9 1.4 ― 1.8 2.3 ▲ 0.5

Light 594 6.3 11.1 26.8 21.7 14.9 13.6 3.2 2.3 2.4 2.7 ▲ 0.3

Middle 979 7.6 10.8 28.4 20.5 16.0 12.2 2.7 1.8 2.4 2.5 ▲ 0.1

Heavy 2,496 8.6 9.0 25.2 19.5 16.0 14.2 5.7 1.7 2.8 3.0 ▲ 0.2




Number of

trips taken


Sex & age

Area of

residence

Life

stage

0

5

10

15

20

25

30

2017 survey total

2016 survey total

（％）



38

10. Amount of Money Used at Destinations4) Sightseeing and Activity Costs

■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.2017

survey

2016

survey


2017 survey total 4,069 20.2 7.8 21.7 15.8 13.7 12.9 5.4 2.4 2.6 ▲ 0.2

2016 survey total 3,979 20.5 6.7 21.2 14.9 14.2 13.1 6.9 2.4 2.8

Sex Male 2,113 17.3 6.1 19.6 18.1 14.4 15.2 7.0 2.4 3.0 3.2 ▲ 0.2

Female 1,957 23.4 9.6 23.9 13.3 13.0 10.5 3.8 2.4 2.2 2.4 ▲ 0.2

Male 18-29 yrs 280 11 .9 5.6 22.6 19.8 14.7 17.9 4.0 3.6 2.7 3.0 ▲ 0.3

Male 30-39 yrs 417 13 .1 5.7 18.4 21.8 13.7 16.7 7.8 2.7 3.6 3.3 0.3

Male 40-49 yrs 546 16.1 6.8 22.1 16.7 14.9 14.9 7.6 0.8 2.8 3.1 ▲ 0.3

Male 50-59 yrs 395 21.6 5.7 19.8 15.1 14.9 13.2 7.6 2.1 2.9 3.0 ▲ 0.1

Male 60 yrs or older 474 21.9 6.3 15 .8 18.1 13.6 14.1 6.7 3.6 2.9 3.5 ▲ 0.6

Female 18-29 yrs 468 23.3 8.8 22.6 14.9 14.7 10.5 3.0 2.3 2.0 2.5 ▲ 0.5

Female 30-39 yrs 412 20.9 10.3 26.6 14.1 11.1 11.4 4.1 1.4 2.3 2.6 ▲ 0.3

Female 40-49 yrs 397 20.3 11.6 22.3 14.2 13.6 11.0 5.2 1.7 2.4 2.3 0.1

Female 50-59 yrs 322 25.0 9.8 22.1 12.0 14.5 9.1 3.3 4.3 2.1 2.3 ▲ 0.2

Female 60 yrs or older 357 28.7 7.4 26.1 10 .6 11.0 10.0 3.2 2.9 2.1 2.3 ▲ 0.2

Kanto 2,501 19.6 7.5 21.7 15.8 13.6 13.8 5.7 2.3 2.7 2.8 ▲ 0.1

Kansai 983 20.8 8.2 22.5 16.2 14.3 11.0 4.6 2.4 2.3 2.9 ▲ 0.6

Tokai 585 22.1 8.2 20.3 15.2 13.2 12.1 5.7 3.1 2.6 2.6 0.0


Worker (child 2-6 yrs) 185 13 .4 5.1 24.7 13.8 16.0 19.2 6.1 1.7 3.2 3.3 ▲ 0.1

Worker (child 1 yr and under) 116 17.6 8.4 16 .0 18.8 13.6 13.6 9.3 2.7 3.0 3.1 ▲ 0.1



Unmarried male 701 14 .2 7.8 22.4 20.3 13.1 14.5 5.5 2.2 2.8 2.9 ▲ 0.1

Unmarried female 20s/30s 541 23.0 11.0 28.3 14.0 11.8 7 .5 2.6 1.8 1.8 2.2 ▲ 0.4

Unmarried female 40s and over 234 29.2 12.9 25.2 7 .4 12.9 8.4 2.0 2.0 1.8 2.2 ▲ 0.4

Student 153 24.1 13.6 22.8 17.2 10.8 8.6 2.2 0.7 1.8 2.5 ▲ 0.7

Light 594 16.8 7.3 22.7 18.0 12.7 14.8 5.0 2.6 2.6 3.0 ▲ 0.4

Middle 979 19.2 8.4 23.4 16.9 14.4 11.2 4.3 2.2 2.5 2.5 0.0

Heavy 2,496 21.5 7.7 20.8 14.9 13.7 13.1 5.9 2.5 2.7 2.9 ▲ 0.2




Number of

trips taken


Sex & age

Area of

residence

Life

stage

0

5

10

15

20

25

30

2017 survey total

2016 survey total

（％）



2017 Survey

(n=4,069) (%) Ranking (n=2,501) Ranking (n=983) Ranking (n=585) Ranking (n=3,979)

1 ANA n=698 17.2 1 19.7 1 13.1 2 13.1 2 16.6 ―

2 JAL n=683 16.8 2 18.3 2 11.1 1 20.1 1 17.6 ―

3 Delta Air Lines n=190 4.7 3 5.2 7 3.0 5 5.3 3 6.6 ↓

4 Korean Air n=146 3.6 6 2.7 3 4.5 3 5.8 5 3.2 ―

5 China Airlines n=131 3.2 5 3.0 5 3.7 8 3.4 4 3.4 ―

6 United Airlines n=128 3.1 4 3.3 6 3.4 12 2.3 6 2.8 ―

7 Singapore Airlines n=104 2.6 9 1.8 9 2.7 4 5.4 6 2.9 ―

8 Cathay Pacific Airways n=103 2.5 7 2.4 18 1.8 6 4.1 12 2.0 ―

9 Lufthansa n=81 2.0 12 1.6 7 2.9 13 1.9 8 2.6 ―

10 Asiana Airlines n=76 1.9 16 1.4 12 2.2 9 3.2 10 2.1 ―

11 Thai Airways n=74 1.8 18 1.4 20 1.6 6 4.0 9 2.3 ―

12 Vietnam Airlines n=69 1.7 14 1.5 10 2.4 16 1.3 11 2.1 ―

13 Emirates n=67 1.6 16 1.4 11 2.3 15 1.5 17 1.6 ―

14 Eva Air n=66 1.6 10 1.8 13 2.1 56 ― 19 1.2 ―

15 Hawaiian Airlines n=64 1.6 11 1.7 15 2.0 25 0.5 20 1.2 ―

16 Peach Aviation n=60 1.5 29 0.6 4 3.9 19 0.8 15 1.7 ―

17 Vanilla Air n=58 1.4 8 2.0 36 0.6 29 0.3 20 1.1 ―

18 Finnair n=57 1.4 21 1.1 20 1.5 10 2.6 16 1.6 ―

19 Jetstar n=55 1.3 22 1.0 15 2.0 14 1.8 18 1.3 ―

20 American Airlines n=48 1.2 13 1.5 36 0.6 21 0.6 29 0.8 ―

20 Air Canada n=48 1.2 22 1.0 19 1.6 17 1.3 22 1.1 ―

22 Alitalia n=47 1.1 14 1.5 38 0.5 19 0.8 24 1.1 ―

23 AirAsia X n=41 1.0 24 1.0 22 1.4 29 0.4 26 1.0 ―

23 KLM Royal Dutch Airlines n=41 1.0 28 0.7 13 2.1 29 0.4 22 1.1 ―

23 Air France n=41 1.0 19 1.2 26 1.0 39 0.1 14 1.7 ―

26 Qatar Airways n=36 0.9 19 1.2 38 0.5 39 0.2 13 1.8 ―

27 China Eastern Airlines n=35 0.9 33 0.5 32 0.7 11 2.4 30 0.8 ―

28 Garuda n=32 0.8 27 0.8 24 1.2 39 0.1 27 1.0 ―

29 Air China n=31 0.8 29 0.6 25 1.2 25 0.6 28 0.9 ―

30 Jetstar Asia Airways n=30 0.7 52 0.2 15 2.0 21 0.7 44 0.2 ―

30 Philippines Airlines n=30 0.7 26 0.8 27 0.9 56 ― 31 0.7 ―

32 British Airways n=27 0.7 24 1.0 67 ― 29 0.4 31 0.7 ―

33 Turkish Airlines n=26 0.6 38 0.5 23 1.3 29 0.3 24 1.1 ―

34 Qantas n=25 0.6 32 0.6 32 0.7 21 0.7 38 0.5 ―

34 Jeju Air n=25 0.6 47 0.3 27 0.9 17 1.2 37 0.5 ―

36 Air New Zealand n=22 0.6 33 0.6 29 0.8 39 0.1 36 0.5 ―

36 Tigerair Taiwan n=22 0.5 41 0.4 29 0.8 21 0.7 47 0.2 ―

38 Scandinavian Airlines n=18 0.4 33 0.6 44 0.3 39 0.1 44 0.2 ―

39 Aeroflot n=17 0.4 29 0.7 67 ― 39 0.2 47 0.2 ―

40 LOT Polish Airlines n=16 0.4 33 0.6 67 ― 39 0.2 * * *

41 Hong Kong Express Airways n=15 0.4 38 0.5 51 0.2 39 0.2 44 0.2 ―

42 Scoot n=14 0.3 41 0.4 44 0.3 39 0.2 41 0.3 ―

42 Hong Kong Airlines n=14 0.3 41 0.4 44 0.3 39 0.1 65 ― ―

42 Austrian Airlines n=14 0.3 40 0.5 44 0.3 56 ― 34 0.5 ―

45 SriLankan Airlines n=13 0.3 37 0.5 67 ― 56 ― 40 0.3 ―

45 Malaysia Airlines n=13 0.3 41 0.4 53 0.1 29 0.4 33 0.6 ―

47 Air Busan n=12 0.3 57 0.2 29 0.8 56 ― 47 0.2 ―

47 T'Way Airlines n=12 0.3 57 0.2 32 0.8 56 ― 65 ― ―

47 TransAsia Airways n=12 0.3 47 0.3 40 0.4 56 ― 34 0.5 ―

50 Eastar Jet n=11 0.3 49 0.3 44 0.3 56 ― 51 0.2 ―

50 Jin Air n=11 0.3 49 0.3 40 0.4 56 ― 65 ― ―

50 Etihad Airways n=11 0.3 41 0.4 67 ― 39 0.2 39 0.4 ―

53 Spring Japan n=10 0.3 46 0.3 53 0.1 39 0.2 * * *

53 Air Caledonia International n=10 0.2 55 0.2 40 0.4 39 0.2 61 0.1 ―

53 Cathay Dragonair (formerly Hong Kong Dragonair) n=10 0.3 49 0.3 53 0.1 29 0.3 51 0.2 ―

53 Air Macau n=10 0.3 62 0.1 32 0.7 39 0.1 56 0.1 ―

57 Aero Mexico n=9 0.2 55 0.2 40 0.4 56 ― 57 0.1 ―

57 Swiss International Airlines n=9 0.2 52 0.2 53 0.1 29 0.4 42 0.3 ―

59 Air Indian n=8 0.2 52 0.2 53 0.1 39 0.2 43 0.3 ―

59 Thai AirAsia X n=8 0.2 57 0.2 44 0.3 56 ― 57 0.1 ―

59 China Southern Airlines n=8 0.2 62 0.1 44 0.3 25 0.6 51 0.2 ―

62 Spring Airlines n=5 0.1 71 ― 53 0.1 25 0.5 47 0.2 ―

62 Cebu Pacific Air n=5 0.1 62 0.1 53 0.1 29 0.3 51 0.1 ―

64 Air Tahiti Nui n=4 0.1 60 0.1 53 0.1 56 ― 57 0.1 ―

64 Hainan Airlines n=4 0.1 60 0.1 53 0.1 56 ― * * *

64 Jet Asia Airways n=4 0.1 77 ― 51 0.2 29 0.4 74 ― ―

64 Egyptair n=4 0.1 62 0.1 53 0.1 39 0.2 74 ― ―

68 Air Niugini n=3 0.1 62 0.1 53 0.1 56 ― 74 ― ―

68 Ethiopian Airlines n=3 0.1 62 0.1 53 0.1 56 ― 74 ― ―

68 South African Airways n=3 0.1 62 0.1 53 0.1 39 0.1 57 0.1 ―

71 Bangkok Airways n=2 0.1 62 0.1 67 ― 56 ― 65 ― ―

71 Aurora (previously SAT Airlines and Vladivostok Avia) n=2 0.1 62 0.1 67 ― 56 ― 65 ― ―

73 Asia Atlantic Airlines n=1 ― 71 ― 67 ― 56 ― 74 ― ―

73 Shandong Airlines n=1 ― 77 ― 53 0.1 56 ― 74 ― ―

73 Sichuan Air n=1 ― 71 ― 67 ― 56 ― * * *

73 Shanghai Airlines n=1 ― 71 ― 67 ― 56 ― 74 ― ―

73 Juneyao Airlines n=1 ― 71 ― 67 ― 56 ― 74 ― ―

73 Miat Mongolian Airlines n=1 ― 71 ― 67 ― 56 ― 61 0.1 ―

79 Asian Air n=0 ― 77 ― 67 ― 56 ― 51 0.2 ―

79 Uzbekistan Airways n=0 ― 77 ― 67 ― 56 ― 65 ― ―

79 Jet Airways n=0 ― 77 ― 67 ― 56 ― 65 ― ―

79 Shenzhen Airlines n=0 ― 77 ― 67 ― 56 ― 74 ― ―

79 Pakistan International Airlines n=0 ― 77 ― 67 ― 56 ― 65 ― ―

79 S7 Airlines (Siberia Airlines) n=0 ― 77 ― 67 ― 56 ― 61 0.1 ―

79 Iran Air n=0 ― 77 ― 67 ― 56 ― 74 ― ―

Other n=39 0.9 0.9 1.3 0.8 0.8 ―

Sea (traveled by ship) n=27 0.7 0.6 0.6 0.8 0.4 ―

Don't know or don't remember n=156 3.8 3.1 5.0 4.7 3.2 ―

† Rate of increase: The arrow indicates increases/decreases for airlines for which there were changes of plus or minus one point between the 2016 survey and 2017 survey. † "*":No applicable data

† There was change in the options

Rate of

increase

2016 Survey

TotalTotal Kanto Kansai Tokai0 5 10 15 20

2017 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 2016 Chapter 2 Actions Taken for Prior Consideration of Travel

42

1. Destinations Considered / Destinations Decided on (1)

■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

2017 survey total 4,069 24.4 6.1 7.3 5.2 5.7 7.3 6.1 6.8 4.1 0.9 3.5 10.6 5.4 6.1 2.2 3.5 3.2 0.5 2.7 18.8 16.1 7.4 10.4 9.9 3.9

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

Male 2,113 23.9 6.3 8.1 5.7 5.6 7.3 5.4 5.4 3.7 0.8 3.1 11.1 5.9 6.4 2.5 3.7 3.3 0.5 2.9 19.3 16.9 7.1 9.4 9.0 3.6

Female 1,957 25.0 5.8 6.3 4.7 5.8 7.2 6.9 8.2 4.6 1.0 4.0 10.1 4.9 5.8 1.9 3.3 3.1 0.4 2.5 18.3 15.3 7.7 11.5 10.8 4.2

Male 18-29 yrs 280 25.4 10.7 9.9 10.7 7.1 7.9 5.2 4.8 4.4 0.8 3.6 14.7 9.9 7.1 3.6 6.3 6.3 ― 2.8 25.4 20.2 8.3 11.5 10.7 5.2

Male 30-39 yrs 417 22.0 7.6 8.0 4.9 5.3 6.1 4.0 3.8 5.1 0.6 4.7 12.5 7.0 6.3 4.2 3.6 3.4 0.2 5.1 26.0 22.2 11.4 14.4 14.0 4.9

Male 40-49 yrs 546 20.7 6.1 8.1 5.2 4.6 7.2 3.7 4.3 3.5 1.2 2.7 11.4 7.0 6.5 2.3 3.5 3.5 ― 3.0 18.1 16.7 6.1 10.8 10.0 5.0

Male 50-59 yrs 395 19.7 4.0 7.0 4.2 4.7 6.0 4.9 5.9 2.1 0.6 1.7 9.5 4.3 6.8 1.3 2.3 2.1 0.6 1.3 19.5 16.6 7.2 8.1 7.9 2.6

Male 60 yrs or older 474 31.9 4.7 8.3 5.4 6.9 9.2 9.4 8.3 3.6 0.7 2.9 8.7 2.7 5.4 1.8 3.6 2.2 1.6 2.0 10 .9 10 .5 3.8 3 .3 3 .3 0.9

Female 18-29 yrs 468 20.0 5.8 6.5 4.7 6.0 6.0 5.1 5.6 4.0 1.4 3.0 13.0 7.4 7.7 2.8 3.0 3.0 0.2 2.3 23.0 17.0 11.9 19.8 18.4 8.4

Female 30-39 yrs 412 22.3 4.9 6.5 4.6 6.3 6.8 7.1 8.2 5.7 0.5 5.4 10.1 4.9 5.4 1.9 3.3 2.7 0.5 3.5 18.5 15.5 8.4 13.6 12.8 4.9

Female 40-49 yrs 397 22.0 4.1 6.4 3.5 3.8 5.2 5.5 6.7 3.8 1.2 3.2 7.2 2.9 4.1 2.3 1.4 1.4 ― 2.0 22.0 20.0 7.8 14.5 13.3 4.1

Female 50-59 yrs 322 25.7 6.2 3.6 5.8 6.2 5.8 8.0 8.7 2.5 0.4 2.2 11.2 4.3 6.9 1.4 2.5 2.5 0.7 2.2 11 .2 10 .9 3.6 2 .9 2 .9 1.1

Female 60 yrs or older 357 37.4 8.7 8.1 5.2 7.1 12.9 9.7 12.9 6.8 1.3 6.1 8.4 4.5 4.5 0.6 6.5 6.1 0.6 2.6 13.9 11.6 4.8 2 .9 2 .9 0.6

Kanto 2,501 24.9 6.2 6.9 5.4 6.0 7.6 6.2 7.0 4.1 0.9 3.6 11.6 5.8 6.7 2.6 3.2 2.9 0.4 3.1 20.0 17.5 7.6 10.9 10.2 4.5

Kansai 983 24.0 5.7 7.6 4.9 6.3 6.5 6.7 6.8 4.2 1.4 3.3 8.8 4.8 4.3 1.8 4.2 4.0 0.5 2.1 14.7 12.0 5.8 9.9 9.3 3.2

Tokai 585 23.3 6.1 8.0 4.9 3.5 7.2 4.8 5.6 3.7 ― 3.7 9.6 5.3 6.2 1.4 3.4 3.3 0.5 1.9 20.2 17.2 9.3 9.5 9.2 2.6

Worker (child 7 yrs and over) 1,428 24.8 5.6 6.2 4.6 5.8 7.9 6.4 6.7 3.7 0.7 3.3 9.2 4.1 5.5 1.8 3.4 2.9 0.8 1.5 17.7 15.8 6.5 8.3 8.0 2.8

Worker (child 2-6 yrs) 185 15 .2 4.5 6.8 1.5 3.0 2.9 3.1 2.2 2.3 0.4 1.9 8.8 4.3 4.4 0.9 2.4 2.4 ― 2.0 32.6 28.8 9.9 22.4 21.5 4.0

Worker (child 1 yr and under) 116 18 .5 5.5 7.0 2.8 4.3 6.9 3.6 4.5 2.3 1.6 1.7 10.3 4.3 8.7 2.5 2.5 2.5 0.9 6.2 36.3 29.4 17.7 21.3 19.4 10.8

Worker (married, no children) 858 28.2 5.8 9.6 6.4 7.7 10.8 6.8 7.0 4.8 0.7 4.1 12.3 5.5 6.3 4.1 3.7 3.6 0.2 4.1 25.5 21.7 10.0 10.4 10.0 3.6

Worker (unmarried) 1,329 23.5 6.6 6.7 5.4 5.0 5.1 6.0 7.8 4.7 1.3 3.9 10.8 6.5 6.1 1.7 3.6 3.3 0.3 3.1 12 .5 10 .2 5.6 10.0 9.2 4.6

Unmarried male 701 22.6 9.0 7.9 7.1 4.1 5.7 4.5 5.5 4.4 1.1 3.7 12.9 8.4 7.4 2.0 4.2 4.1 0.2 3.1 12 .3 10 .0 4.7 8.8 8.2 4.3

Unmarried female 20s/30s 541 19.8 4.7 5.5 4.5 5.5 4.3 5.9 7.0 4.9 1.4 3.9 11.4 6.9 6.7 1.6 3.5 3.1 0.4 2.3 13 .6 10 .5 7.5 14.4 12.9 6.3

Unmarried female 40s and over 234 34.1 5.9 7.9 4.9 5.9 5.9 10.9 14.3 4.0 1.0 3.5 6.5 2.5 3.5 1.0 2.5 2.5 ― 3.5 11 .8 11.4 3.9 4 .9 4 .9 1.5

Student 153 23.7 10.1 9.4 8.6 5.0 5.8 7.2 4.3 2.8 0.7 2.1 15.8 10.8 10.0 1.5 4.3 4.3 ― 0.7 15.5 13.4 5.7 11.4 10.7 4.3

Light 594 21.4 7.3 9.4 6.2 5.6 7.3 4.0 5.2 2.1 0.9 1.4 8.5 4.7 5.3 2.1 3.2 3.2 ― 2.5 27.5 22.0 12.3 17.7 17.0 5.5

Middle 979 21.6 5.2 6.7 5.6 6.7 7.9 4.7 4.2 2.9 1.1 2.2 12.2 6.9 6.6 2.5 3.3 3.1 0.4 1.8 19.4 16.5 6.9 13.2 12.5 5.5

Heavy 2,496 26.3 6.1 6.9 4.8 5.4 7.0 7.2 8.1 5.0 0.8 4.5 10.5 5.1 6.0 2.2 3.6 3.2 0.6 3.1 16.5 14.5 6.4 7.6 7.1 2.8

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


2017 survey total 4,069 5.0 5.0 2.9 1.0 2.1 9.0 8.2 2.9 19.8 12.2 24.7 7.7 2.5 2.5 6.5 3.9 0.7 0.8 3.4 4.6 5.2 1.7

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

Male 2,113 4.8 6.4 3.7 1.2 2.8 9.6 8.6 3.4 19.9 9.0 26.0 7.7 2.4 2.9 8.4 3.2 0.9 0.9 3.7 5.0 4.6 1.8

Female 1,957 5.3 3.6 2.1 0.7 1.4 8.3 7.7 2.4 19.6 15.6 23.3 7.7 2.6 1.9 4.4 4.6 0.5 0.7 3.1 4.2 5.9 1.6

Male 18-29 yrs 280 6.3 7.1 4.4 2.0 2.0 9.9 9.5 3.2 18.3 10.7 22.2 7.1 3.2 2.4 4.8 4.0 0.8 1.6 3.6 6.7 2.0 1.6

Male 30-39 yrs 417 6.3 5.9 3.4 0.8 2.5 9.9 8.2 4.7 18.8 7.8 24.3 7.0 2.1 3.2 7.2 4.7 0.6 1.1 2.5 6.1 2.7 1.3

Male 40-49 yrs 546 6.1 6.1 3.3 1.1 2.6 11.3 10.2 4.1 20.7 8.8 26.8 8.1 3.0 4.4 8.8 3.3 0.9 0.5 4.9 5.3 6.7 2.4

Male 50-59 yrs 395 3.0 7.2 5.1 1.1 3.4 10.6 9.5 3.2 20.8 11.7 30.2 9.3 2.5 2.5 11.2 3.6 0.9 1.3 4.0 6.2 4.2 1.7

Male 60 yrs or older 474 2.5 6.0 2.9 1.3 3.1 6.3 6.0 1.6 20.3 7 .1 25.2 7.1 1.3 1.8 8.9 0.9 1.1 0.4 3.1 1.8 5.8 1.8

Female 18-29 yrs 468 7.9 3.3 2.1 1.2 0.9 8.1 7.9 1.9 19.5 21.6 25.8 7.2 3.5 2.6 4.4 8.4 0.5 0.7 2.8 7.7 4.2 1.2

Female 30-39 yrs 412 8.2 3.8 1.4 0.5 2.4 10.6 9.2 3.0 18.2 15.5 25.3 9.5 3.3 3.0 3.5 3.3 0.5 0.8 4.3 6.0 5.7 1.6

Female 40-49 yrs 397 4.6 3.5 2.3 0.9 0.6 7.0 6.7 2.6 20.0 12.8 24.9 8.4 2.9 2.0 6.4 4.3 0.6 1.2 4.1 3.2 7.0 1.4

Female 50-59 yrs 322 2.5 4.0 2.9 0.4 1.4 9.4 9.4 2.2 23.6 15.9 21.7 6.9 2.2 0.4 4.7 4.3 0.7 ― 2.9 2.2 5.1 1.8

Female 60 yrs or older 357 1.9 3.5 1.9 0.6 1.9 6.5 5.5 2.3 17.1 10.6 17 .4 6.1 0.6 1.3 2.9 1.9 ― 0.6 1.3 0.6 7.7 2.3

Kanto 2,501 5.4 4.7 2.7 1.1 1.9 9.1 8.4 2.9 18.9 10.4 24.2 6.9 2.6 2.3 5.8 4.0 0.8 0.8 3.4 4.9 5.5 1.5

Kansai 983 5.2 5.4 2.7 0.8 2.5 8.3 7.4 3.3 24.3 16.0 24.0 8.0 2.7 2.5 6.6 3.7 0.7 0.8 2.9 4.4 5.6 2.5

Tokai 585 3.1 5.8 4.4 0.9 2.5 9.3 8.7 2.0 15.8 13.5 27.9 10.5 1.8 3.1 9.5 3.6 0.2 0.5 4.1 3.8 3.2 1.2

Worker (child 7 yrs and over) 1,428 3.3 5.9 3.4 1.1 2.6 8.5 8.0 2.5 20.8 10.5 23.9 8.0 1.7 1.5 6.8 3.0 0.7 0.8 3.2 2.7 6.1 2.0

Worker (child 2-6 yrs) 185 3.2 5.3 3.1 ― 3.1 10.3 8.9 3.7 19.8 8.9 28.3 12.4 2.7 4.6 4.4 3.5 1.1 1.2 6.7 8.1 4.7 1.1

Worker (child 1 yr and under) 116 12.4 5.3 3.3 2.6 1.9 2 .6 2 .6 1.9 11 .2 15.0 24.0 4.4 2.7 3.6 8.2 4.7 0.9 0.9 2.9 7.7 3.8 1.0

Worker (married, no children) 858 9.0 4.0 2.2 0.3 1.9 5.6 5.0 2.2 15.5 8.4 22.1 5.9 2.3 2.3 4.5 4.7 0.6 0.4 2.5 4.0 5.5 1.7

Worker (unmarried) 1,329 4.2 4.9 3.1 1.3 1.7 12.5 11.2 3.9 22.3 15.8 26.5 8.0 3.5 3.0 7.7 4.0 0.6 0.9 3.9 6.0 4.1 1.5

Unmarried male 701 4.0 7.7 4.5 2.0 2.7 12.8 11.4 4.8 22.1 10.8 28.9 8.5 2.9 4.1 10.3 3.2 0.8 1.5 4.3 6.4 3.7 2.2

Unmarried female 20s/30s 541 5.5 2.6 1.6 0.8 0.8 12.2 11.4 2.9 22.9 23.5 26.6 8.3 4.3 2.8 5.1 6.7 0.6 0.8 3.5 7.7 5.3 1.4

Unmarried female 40s and over 234 1.0 1.5 1.0 0.5 0.5 7.9 6.9 2.0 19.3 16.4 20.3 6.9 2.5 1.5 4.5 2.0 ― ― 3.0 2.5 4.0 0.5

Student 153 2.9 4.3 1.4 1.4 1.5 5.7 5.7 0.7 17.9 20.7 27.8 9.3 1.4 5.0 5.7 6.5 0.7 1.4 2.2 8.5 5.7 2.9

Light 594 6.8 2.9 1.9 0.5 1.3 6.6 6.0 1.4 21.9 13.7 24.2 8.3 3.2 2.2 5.2 3.4 0.5 0.7 2.4 4.8 3.7 0.5

Middle 979 5.3 5.4 3.3 1.4 2.3 10.9 9.7 3.6 24.5 13.7 25.0 9.0 2.7 1.4 4.9 5.4 0.9 0.9 3.4 5.9 4.6 1.8

Heavy 2,496 4.5 5.4 3.1 0.9 2.3 8.8 8.2 2.9 17.4 11.3 24.7 7.1 2.2 2.9 7.4 3.4 0.6 0.8 3.6 4.1 5.8 2.0

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

2017 survey total 4,069 3.4 8.2 6.3 3.7 9.4 2.9 0.6 0.3 0.9 0.4 0.5 0.5 1.0 0.4 0.5 1.7 4.4

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

Male 2,113 3.4 8.0 6.1 3.7 9.9 3.2 0.8 0.3 0.7 0.5 0.6 0.4 0.8 0.4 0.7 1.7 4.4

Female 1,957 3.4 8.5 6.6 3.7 8.9 2.5 0.5 0.3 1.0 0.3 0.4 0.6 1.3 0.4 0.3 1.8 4.3

Male 18-29 yrs 280 2.8 9.9 7.5 5.2 12.3 3.2 1.6 0.8 2.4 1.2 2.4 0.4 1.6 1.2 0.4 2.8 7.1

Male 30-39 yrs 417 2.7 9.3 7.6 3.6 10.6 4.0 0.4 ― 1.1 0.6 ― ― 0.6 ― 0.2 1.3 4.9

Male 40-49 yrs 546 2.6 8.1 6.5 3.3 9.4 2.7 0.9 0.5 0.5 ― 0.3 0.5 0.5 0.3 0.6 1.4 4.1

Male 50-59 yrs 395 3.4 5.7 4.2 3.0 10.0 3.2 0.4 0.6 0.6 0.4 0.6 0.8 0.9 0.4 0.8 2.8 4.3

Male 60 yrs or older 474 5.1 7.4 4.9 3.8 8.3 3.1 0.9 ― ― 0.4 0.4 0.4 0.7 0.4 1.3 0.9 2.9

Female 18-29 yrs 468 1.9 13.7 11.6 4.9 10.7 3.7 0.5 0.9 1.4 0.5 0.5 0.5 1.6 0.9 0.5 3.0 5.1

Female 30-39 yrs 412 3.0 9.0 6.8 3.3 8.4 2.7 0.5 ― 1.9 0.3 0.3 0.8 0.8 ― 0.5 1.9 5.2

Female 40-49 yrs 397 4.3 4.9 3.5 2.6 8.1 1.4 0.3 0.3 0.6 ― 0.3 0.6 1.2 0.3 ― 1.2 4.6

Female 50-59 yrs 322 4.0 6.5 4.7 3.6 8.0 2.5 0.7 0.4 ― 0.4 1.1 0.7 0.4 0.7 0.4 1.4 3.6

Female 60 yrs or older 357 4.2 6.8 4.8 3.9 8.7 1.9 0.3 ― 0.6 0.6 ― 0.6 2.3 ― 0.3 1.0 2.6

Kanto 2,501 3.6 7.8 6.1 3.4 8.3 2.4 0.7 0.4 0.6 0.4 0.4 0.3 0.7 0.4 0.4 1.3 4.0

Kansai 983 3.2 9.0 6.6 4.5 12.2 4.0 0.7 0.2 1.5 0.3 0.9 0.9 2.0 0.6 0.8 2.8 5.6

Tokai 585 2.7 8.7 6.9 3.7 9.5 3.1 0.3 0.1 0.8 0.5 0.3 0.8 0.9 0.3 0.5 1.7 4.1

Worker (child 7 yrs and over) 1,428 3.5 7.3 5.3 3.6 9.5 2.9 0.8 0.1 0.6 0.4 0.3 0.5 0.8 0.4 0.7 1.5 3.6

Worker (child 2-6 yrs) 185 0.4 8.7 6.3 4.1 13.4 2.4 ― ― 2.1 1.6 1.1 1.2 1.1 ― 0.5 3.2 7.5

Worker (child 1 yr and under) 116 1.9 11.0 9.1 3.8 14.5 4.3 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 1.9 12.0

Worker (married, no children) 858 2.6 7.8 6.2 3.1 7.6 2.2 0.4 0.4 0.8 0.3 0.7 0.3 0.8 0.2 0.5 1.3 3.6


Unmarried male 701 4.4 8.4 7.0 4.1 11.3 4.0 1.1 0.6 0.9 0.5 1.0 0.7 1.2 0.6 0.4 2.0 5.5

Unmarried female 20s/30s 541 2.9 11.8 9.1 4.3 8.9 3.0 0.4 0.6 1.6 0.2 ― 0.4 1.6 0.6 0.4 2.6 3.6

Unmarried female 40s and over 234 6.9 5.0 3.0 3.5 5.0 0.5 ― ― ― ― ― 0.5 1.0 ― ― 1.0 3.5

Student 153 2.2 13.6 12.2 3.6 9.8 3.4 0.7 0.7 1.5 0.7 0.7 ― 0.7 2.2 ― 1.4 4.3

Light 594 1.4 10.1 8.0 3.5 14.2 4.3 1.0 0.3 2.2 0.5 0.9 0.4 1.9 0.6 0.6 2.7 6.0

Middle 979 1.8 8.0 6.3 3.8 10.3 2.8 1.0 0.5 1.0 0.7 0.3 0.5 1.2 0.4 0.7 2.9 4.3

Heavy 2,496 4.5 7.9 5.9 3.7 7.9 2.6 0.4 0.3 0.5 0.3 0.5 0.5 0.7 0.3 0.4 1.1 4.0



Number of

trips taken

Sex

Sex & age

Area of

residence

Life

stage

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

Oceania Japan

Sex

Sex & age

Area of

residence

Life

stage

China (excluding Hong Kong and Macau) Hong Kong or Macau

Number of

trips taken



（％）

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

2017 survey total 4,069 24.4 6.1 7.3 5.2 5.7 7.3 6.1 6.8 4.1 0.9 3.5 10.6 5.4 6.1 2.2 3.5 3.2 0.5 2.7 18.8 16.1 7.4 10.4 9.9 3.9

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

UK 247 100.0 100.0 39.5 28.4 20.1 25.2 20.7 14.7 8.7 2.7 7.6 16.4 11.8 10.4 2.6 7.5 7.2 0.7 4.2 13 .2 10 .0 7.5 3 .9 3 .5 1.7

France 295 100.0 33.1 100.0 29.5 30.3 38.0 17.9 13.2 8.9 3.7 7.2 16.0 10.8 10.1 3.7 6.1 5.5 1.0 3.8 15.3 12.2 7.4 4 .2 3 .8 1.3

Germany 212 100.0 33.1 41.0 100.0 28.8 30.8 32.5 25.6 8.2 3.3 6.4 15.0 9.5 10.8 1.4 9.5 9.2 0.9 4.1 9 .8 8 .4 5.0 4 .3 4 .3 1.8

Spain 233 100.0 21.4 38.5 26.3 100.0 42.3 24.7 23.0 13.2 5.0 10.2 13.3 8.5 9.5 1.8 7.4 6.6 0.8 3.9 12 .8 8 .5 8.5 3 .6 3 .1 1.3

Italy 296 100.0 21.0 37.9 22.1 33.3 100.0 18.5 15.7 8.9 3.6 6.6 9.8 5.8 6.7 2.0 6.9 6.2 1.1 2.6 10 .6 8 .2 5.5 3 .7 3 .5 0.9

Other countries in western Europe 250 100.0 20.5 21.1 27.5 22.9 21.9 100.0 36.7 10.0 2.4 8.4 10.7 7.2 6.3 1.7 6.2 6.2 0.4 4.8 8 .4 6 .7 4.6 3 .9 3 .4 1.7

Other places in Europe 275 100.0 13.2 14.2 19.7 19.5 16.9 33.4 100.0 12.6 3.4 10.6 10.4 8.2 4.8 2.1 7.3 5.7 3.0 8.3 5 .2 3 .1 3.6 3 .2 2 .8 1.2

Turkey 36 63.1 18.5 30.0 19.3 32.5 29.7 16.3 25.6 100.0 100.0 33.3 9.7 9.7 7.4 3.0 11.6 11.6 3.0 11.4 11 .6 9 .3 8.5 11.3 9.0 8.4

Other Middle East or Africa 143 52.1 13.1 14.9 9.4 16.6 13.7 14.8 20.4 100.0 8.4 100.0 13.6 9.5 6.4 4.2 5.0 3.6 2.2 13.7 10 .8 7 .2 8.0 6.3 4 .8 3.5

USA east 222 32.8 13.2 14.3 9.1 9.0 7.8 8.1 10.2 6.1 1.6 6.1 100.0 100.0 40.8 11.8 14.3 14.3 1.5 9.0 17.5 14.7 7.3 6.3 5.4 3.9

USA west 247 24.7 10.4 12.1 9.3 8.9 8.0 6.4 5.4 3.7 1.1 3.7 100.0 36.6 100.0 13.4 10.0 10.0 0.9 5.3 20.4 16.0 9.0 6.1 6.1 1.9

USA south 91 23.1 7.0 12.0 3.3 4.6 6.5 4.8 6.5 6.6 1.2 6.6 100.0 28.7 36.4 100.0 14.7 13.5 2.4 19.4 15.9 13.5 6.8 3 .4 3 .4 1.2

Canada 131 34.5 13.6 12.5 14.9 11.7 14.1 11.8 12.1 5.6 3.2 3.9 34.6 24.2 18.8 9.4 100.0 100.0 5.4 11.2 20.9 14.6 11.5 7.2 6.4 4.6

Alaska 19 64.2 9.9 15.6 9.9 10.5 17.3 5.9 44.0 16.7 5.9 16.7 24.1 18.4 12.2 11.6 100.0 38.5 100.0 17.7 20.0 16.0 16.0 11.9 5.9 11.9

Central/SouthAmericaorCaribbean 110 40.6 9.5 10.3 7.8 8.3 6.9 11.0 20.8 20.6 3.7 17.8 34.3 18.1 12.0 16.0 15.3 13.3 3.0 100.0 10 .4 9 .6 5.6 6.6 2 .8 6.6

Hawaii (Oahu) 655 11 .0 3.8 5.5 2.7 3.0 3.7 2.5 1 .3 1.9 0.5 1.6 9.7 5.0 6.0 1.9 3.2 2.9 0.5 1.6 100.0 100.0 29.3 23.2 22.7 8.4

Hawaii (other than Oahu) 301 15 .4 6.1 7.3 3.6 6.6 5.4 3.8 3.3 4.2 1.0 3.8 10.7 5.4 7.4 2.0 5.4 5.0 1.0 2.1 100.0 63.8 100.0 31.8 30.6 13.3

Guam 402 5 .8 2.2 2.8 2.3 1.8 2.6 2.1 1.9 2.2 0.8 1.7 5 .2 3.0 3.7 0.8 2.1 2.1 0.3 0.8 47.0 37.0 22.9 100.0 100.0 33.5

Saipan 158 5 .4 2.6 2.5 2.4 1.9 1 .7 2.6 2.1 4.4 1.9 3.2 5 .5 5.5 3.0 0.7 4.5 3.8 1.4 4.6 45.9 34.9 25.3 100.0 85.2 100.0

South Pacific islands or other islands 205 20.3 5.9 8.4 3.7 6.0 7.6 5.9 5.6 11.9 4.0 8.8 12.2 8.7 5.6 4.0 5.2 4.6 1.1 9.2 37.0 27.6 22.5 33.2 28.6 24.0

Shanghai 119 5 .6 4.2 2 .2 1.6 ― 2 .2 1.8 2.4 2.5 1.5 2.5 5 .0 2.4 4.1 1.8 0.9 0.9 0.9 0.9 6 .6 6 .6 2.6 5.7 5.7 3.5

Beijing 40 17 .7 10.3 7.3 2.7 2.8 4.5 10.8 12.9 4.5 4.5 4.5 12.2 10.0 6.7 2.7 5.4 5.4 2.7 5.4 5 .4 5 .4 2.7 12.9 10.1 8.1

Other China (exc. Hong Kong / Macau) 87 7 .7 2.3 3.1 2.3 1.3 5.4 2.3 3.4 7.3 3.1 6.4 4 .5 3.1 4.5 1.3 2.5 2.5 1.3 3.2 3 .4 3 .4 1 .3 4 .8 4 .8 3.6

Hong Kong 334 7 .0 2.4 2.9 2.1 0 .2 2 .0 2.1 1 .7 3.4 1.8 2.2 4 .5 3.0 3.3 0.9 1.5 1.5 0.3 1.1 7 .7 6 .8 3.2 10.5 9.9 5.2

Macau 117 11 .7 3.3 5.7 3.3 ― 2.4 4.1 5.7 5.0 1.6 5.0 8.4 6.8 7.5 1.9 1.7 1.7 0.9 3.2 7 .2 6 .4 2 .4 11.1 10.4 6.7

Taiwan 804 6 .1 1.6 2.5 1.6 0.8 1 .7 1.3 1 .7 1.2 0.7 0.7 2 .3 1.6 1 .0 0.7 1.0 1.0 0.1 0.5 7 .3 6 .2 2 .3 7.7 7.5 3.8

Korea 496 4 .1 1.2 2 .0 0.6 0 .4 0 .8 1.5 1 .7 1.4 0.8 0.8 3 .2 1.7 2.5 0.8 1.1 1.1 0.2 0.4 4 .6 3 .4 2 .3 6.2 6.0 2.8

Singapore 314 8 .3 3.5 2 .2 1.9 1.2 1 .6 3.3 1 .8 2.8 0.6 2.8 5 .4 4.2 3.4 0.3 2.7 2.3 0.7 1.1 16.3 13.2 6.6 13.3 12.7 4.3

Phuket 101 11 .1 3.3 5.5 2.2 4.2 4.9 5.1 4.3 5.0 2.2 3.9 10.1 6.3 5.8 2.0 3.3 3.3 1.1 5.5 30.1 25.0 14.7 31.5 27.4 19.9

Thai beaches (other than Phuket) 100 5 .1 2.2 2.9 1.1 ― 2 .1 1 .1 1 .1 4.8 2.9 3.7 6.2 5.1 2.9 1.1 1.1 1.1 1.1 1.1 13 .3 6 .9 8.6 19.6 18.5 11.8

Bangkok or other Thai cities 264 6 .5 2.0 1 .1 0.8 1.9 0 .7 0 .7 2.3 2.3 1.1 1.9 2 .5 1.8 1.7 0.4 0.7 0.7 0.4 0.8 7 .4 5 .3 3.2 7.4 6.6 3.2

Bali 158 9 .5 2.1 3.2 1.4 2.5 1 .7 4.2 4.0 2.9 2.4 1.7 9.1 5.0 5.9 3.7 3.3 3.3 0.7 4.6 32.4 21.2 19.5 30.4 29.9 16.2

Indonesian beaches (other than Bali) 28 11.6 7.8 3.9 3.9 ― 7.7 3.9 3.9 13.3 10.4 9.5 6.6 6.6 6.6 3.9 6.9 6.9 3.9 3.9 16.6 9.8 13.7 24.9 21.8 17.0

Indonesian cities 32 19 .2 13.6 6.8 3.4 ― 6.7 6.8 9.1 12.5 9.0 9.2 12.6 12.6 12.6 10.3 3.4 3.4 3.4 3.4 17.2 10 .4 13.8 20.5 20.5 10.2

Malaysia 139 13 .5 5.5 4.4 2.1 1.4 2.9 3.8 6.4 5.8 2.9 4.2 9.7 7.0 5.7 3.0 2.2 2.2 0.8 3.6 15.4 11 .0 8.2 16.6 15.2 8.6

Philippines 189 7 .5 2.2 3.8 2.2 2.4 1 .7 2.9 2.8 3.7 1.6 3.1 4 .4 3.2 3.3 0.6 1.6 1.6 0.6 3.0 24.4 16.6 14.1 31.1 29.0 19.5

Vietnam 212 8 .6 1.6 4.1 0.9 1.4 4.1 3.6 2.0 4.4 1.4 3.8 2 .8 1.7 2.3 0.5 0.9 0.9 0.5 1.3 7 .8 6 .5 3.8 5.6 5.2 2.6

Cambodia 70 13 .5 1.3 2.7 1.2 2.4 4.5 1.6 2.7 7.1 2.7 5.4 5 .4 2.7 3.8 ― 1.2 1.2 ― 2.1 8 .2 3 .4 6.0 5 .1 5.1 3.9

Other places in Asia 137 19.5 5.8 3.3 2.2 5.5 3.1 8.1 6.9 13.8 2.2 13.0 4 .8 3.4 2.7 0.8 3.5 2.6 1.6 5.2 4 .6 4 .1 3.8 3 .3 2 .5 1.6

Australia 257 24.6 10.0 7.4 7.7 6.6 8.7 6.7 7.3 4.4 1.2 3.7 13.8 8.8 9.1 1.6 9.9 9.5 0.9 6.8 27.0 18.9 14.4 15.6 14.1 8.4

New Zealand or other Oceania 150 37.7 13.7 10.2 9.7 12.5 12.2 11.7 15.2 6.1 2.0 4.9 13.1 9.5 7.2 2.8 14.7 13.2 2.2 9.2 26.2 17.2 16.7 9.4 7.3 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


2017 survey total 4,069 5.0 5.0 2.9 1.0 2.1 9.0 8.2 2.9 19.8 12.2 24.7 7.7 2.5 2.5 6.5 3.9 0.7 0.8 3.4 4.6 5.2 1.7

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

UK 247 4.9 2.8 2.0 1.7 0.8 3 .3 3.3 1.6 5 .3 2 .5 9 .6 4.5 1.3 0.9 2.1 1.3 0.9 1.8 3.1 1.7 1.3 0.4

France 295 5.9 1.6 0.9 1.0 0.9 3 .2 3 .2 2.3 6 .9 3 .4 7 .9 2 .4 1.9 1.0 1 .0 1.7 0.4 0.7 2.1 2.5 3.0 0.6

Germany 212 3.5 1.3 0.9 0.5 0.9 3 .3 3.3 1.8 6 .0 1 .4 7 .1 2.8 1.0 0.5 1 .0 1.1 0.5 0.5 1.4 2.0 0.9 0.4

Spain 233 5.3 1.0 ― 0.5 0.5 0 .3 0 .3 ― 2 .7 0 .9 9 .3 1 .7 1.8 ― 2.1 1.7 ― ― 0.8 1.9 1.3 0.7

Italy 296 5.2 1.9 0.9 0.6 1.6 2 .5 2 .2 0.9 4 .7 1 .4 6 .3 1 .7 1.7 0.7 0 .6 0.9 0.7 0.7 1.4 1.1 2.9 1.1

Other countries in western Europe 250 4.8 2.1 0.9 1.7 0.8 2 .8 2 .8 1.9 4 .1 3 .0 10 .5 4.1 2.1 0.4 0 .8 2.7 0.4 0.9 2.1 2.2 3.0 0.4

Other places in Europe 275 4.2 1.9 1.1 1.9 1.1 3 .2 2 .0 2.4 4 .8 3 .1 8 .7 2 .0 1.6 0.4 2.2 2.3 0.4 1.1 3.2 1.9 1.5 0.7

Turkey 36 23.0 7.4 5.1 5.1 7.4 16.6 16.6 5.1 16.3 11.3 22.8 5.1 6.1 8.0 8.3 10.4 8.0 8.0 11.1 8.2 8.3 5.3

Other Middle East or Africa 143 12.7 3.9 2.1 1.3 3.9 5.9 5.1 4.1 4 .1 2 .9 19 .1 6.2 2.7 2.6 3.5 1.9 1.9 2.1 4.1 4.1 5.7 2.7

USA east 222 8.1 2.2 1.3 1.8 1.2 5.0 4.5 3.6 5 .8 3 .8 11 .5 5.9 2.9 2.3 2.2 3.6 0.8 1.8 4.4 2.7 1.7 0.8

USA west 247 4.6 2.8 2.0 1.1 1.6 5.7 4.5 3.6 3 .4 4 .9 12 .5 4.3 2.4 1.2 1.8 3.7 0.7 1.6 3.2 2.5 2.0 1.1

USA south 91 9.1 2.4 2.4 1.2 1.2 3 .4 3.4 2.4 5 .9 4 .6 9 .8 1 .2 2.2 1.2 1 .2 6.4 1.2 3.6 4.6 1.2 1.2 ―

Canada 131 7.2 2.5 0.8 1.7 1.7 3 .8 3.8 1.5 6 .2 4 .1 11 .3 5.6 2.5 0.8 1 .5 4.0 1.5 0.8 2.3 2.3 1.5 0.6

Alaska 19 11.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 11.6 11.6 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 ―

Central/SouthAmericaorCaribbean 110 17.1 3.6 1.0 2.0 2.5 4.1 3.3 3.4 3 .4 1 .8 15 .7 3.3 5.0 1.0 2.0 6.6 1.0 1.0 4.5 5.1 2.5 1.4

Hawaii (Oahu) 655 8.6 1.5 1.2 0.3 0.5 3 .7 3.5 1.2 7 .6 2 .6 17 .3 6.3 3.8 1.1 2.1 5.1 0.4 0.5 2.3 4.8 2.1 0.4

Hawaii (other than Oahu) 301 15.4 1.0 1.0 0.4 0.4 3 .5 3.5 0.9 6 .2 3 .8 24.3 6.9 4.9 2.9 2.8 10.3 1.3 1.5 3.8 8.9 2.6 1.4

Guam 402 14.6 2.9 1.7 1.0 1.0 8.7 8.2 3.0 15.0 7.4 33.5 9.9 6.9 4.6 4.3 11.8 1.5 1.6 5.3 13.7 2.8 0.9

Saipan 158 31.1 4.6 2.6 2.1 2.0 12.1 11.1 5.0 19.1 8.9 39.6 8.5 12.7 7.5 5.4 16.2 3.0 2.1 7.5 23.4 3.5 1.7

South Pacific islands or other islands 205 100.0 3.6 1.6 2.2 1.4 7.8 7.3 3.1 7 .4 4 .3 40.7 8.9 9.4 4.6 4.4 14.6 3.0 2.1 6.9 20.4 6.4 0.8

Shanghai 119 2.8 100.0 100.0 13.4 18.2 26.5 25.9 10.4 32.2 12.7 21.6 10.4 1.8 2.3 6.1 2.4 1.5 3.2 5.7 6.4 6.3 3.5

Beijing 40 11.0 100.0 39.7 100.0 30.3 32.4 24.5 22.9 35.7 28.5 23.1 12.1 8.1 4.5 7.4 7.2 4.5 7.4 15.5 10.0 9.4 10.2

Other China (exc. Hong Kong / Macau) 87 3.2 100.0 25.0 14.1 100.0 28.7 27.4 13.4 35.9 23.5 23.4 11.3 4.8 3.1 6.2 4.4 2.1 3.4 5.2 10.3 6.7 4.1

Hong Kong 334 4.5 14.5 9.3 3.0 7.1 100.0 100.0 25.9 50.7 20.2 32.9 18.0 2.8 4.6 8.4 3.1 1.7 1.8 5.3 8.1 8.1 2.4

Macau 117 5.3 18.4 10.6 7.9 10.0 100.0 73.7 100.0 47.4 21.8 42.6 26.8 2.6 3.9 10.3 4.9 2.3 4.2 9.9 9.0 8.0 4.0

Taiwan 804 1.9 8.0 4.8 1.8 3.9 22.0 21.1 6.9 100.0 22.9 26.2 10.5 2.0 2.4 7.5 2.8 1.1 1.7 4.6 4.6 7.1 1.8

Korea 496 1.8 6.7 3.0 2.3 4.1 14.9 13.6 5.2 37.2 100.0 14 .1 7.0 1.9 1.6 3.7 1.8 0.6 1.7 2.6 3.5 3.2 1.3

Singapore 314 5.8 5.8 4.0 1.5 3.1 21.4 19.1 10.0 26.8 11.0 100.0 100.0 8.6 5.6 10.1 9.7 3.3 3.4 16.8 11.6 10.3 3.9

Phuket 101 19.1 6.3 2.2 3.3 4.1 9.1 9.1 3.1 16.0 9.3 100.0 26.9 100.0 24.3 24.3 33.7 5.7 3.3 19.2 33.0 23.6 6.4

Thai beaches (other than Phuket) 100 9.5 3.5 2.7 1.8 2.7 15.2 15.2 4.5 19.1 8.1 100.0 17.5 24.5 100.0 48.5 16.9 9.5 4.9 17.6 21.6 22.8 8.2

Bangkok or other Thai cities 264 3.4 4.1 2.7 1.1 2.0 12.3 10.6 4.6 22.9 7 .0 100.0 12.0 9.3 18.4 100.0 7.7 3.7 3.7 11.8 11.3 17.6 8.7

Bali 158 18.9 3.1 1.8 1.8 2.4 7.2 6.5 3.6 14 .3 5 .5 100.0 19.3 21.6 10.7 12.8 100.0 6.5 5.9 13.9 25.8 16.5 5.9

Indonesian beaches (other than Bali) 28 22.1 6.6 6.6 6.6 6.6 20.5 20.5 9.7 31.3 10.0 100.0 36.7 20.6 34.2 34.6 36.9 100.0 30.3 41.3 40.9 47.6 23.9

Indonesian cities 32 13.5 15.5 12.0 9.3 9.1 18.7 18.7 15.5 43.3 26.3 100.0 32.9 10.4 15.3 30.5 29.0 26.3 100.0 35.6 28.6 23.1 20.7

Malaysia 139 10.2 7.6 4.9 4.5 3.3 14.3 12.7 8.3 26.7 9.2 100.0 38.0 14.0 12.7 22.4 15.8 8.3 8.3 100.0 25.3 24.8 7.7

Philippines 189 22.1 6.8 4.0 2.1 4.7 14.9 14.3 5.6 19.5 9.1 100.0 19.3 17.6 11.5 15.8 21.6 6.0 4.9 18.5 100.0 15.2 4.5

Vietnam 212 6.1 4.7 3.5 1.8 2.7 13.1 12.7 4.4 26.9 7.6 100.0 15.2 11.2 10.8 21.9 12.3 6.3 3.5 16.2 13.6 100.0 19.7

Cambodia 70 2.4 10.0 6.0 5.8 5.1 11.4 11.4 6.6 20.7 9.4 100.0 17.5 9.2 11.8 32.9 13.3 9.5 9.5 15.2 12.1 59.8 100.0

Other places in Asia 137 6.7 6.5 5.0 3.0 3.6 7.9 6.4 5.6 12 .8 4 .6 32.8 12.9 1.3 2.2 8.8 2.9 5.3 4.8 7.9 5.5 15.3 8.7

Australia 257 11.1 2.0 0.8 0.8 1.6 5.7 5.4 1.2 7 .3 3 .5 27.3 10.9 4.4 2.4 3.5 9.1 1.0 0.4 5.9 5.8 4.2 0.9

New Zealand or other Oceania 150 17.8 4.4 2.9 2.9 2.2 7.6 7.0 1.9 8 .9 5 .5 17 .0 4.5 4.7 2.5 1 .5 7.4 1.2 0.7 4.0 6.0 2.6 0.6

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

2017 survey total 4,069 3.4 8.2 6.3 3.7 9.4 2.9 0.6 0.3 0.9 0.4 0.5 0.5 1.0 0.4 0.5 1.7 4.4

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

UK 247 3.2 14.9 10.4 8.3 7.9 3.9 3.5 1.8 2.6 1.7 2.1 0.9 1.8 1.8 1.2 2.4 4.1

France 295 1.5 9.1 6.4 5.2 7.9 4.1 2.0 1.6 2.0 1.3 1.9 1.4 1.6 1.4 0.9 2.2 4.2

Germany 212 1.4 12.0 9.3 6.8 8.0 3.6 1.6 1.4 1.0 1.6 1.4 2.1 2.4 2.7 1.0 2.3 2.5

Spain 233 3.2 12.7 7.3 8.0 6.9 3.3 0.9 ― 1.0 0.4 1.3 0.5 0.8 0.5 0.8 2.0 2.8

Italy 296 1.4 10.4 7.6 6.2 5.6 2.8 1.6 1.3 1.0 1.6 1.6 1.0 1.4 1.0 1.4 1.2 2.6

Other countries in western Europe 250 4.5 10.9 6.8 7.0 8.3 3.1 2.7 1.2 1.7 2.6 1.3 1.3 2.6 1.8 0.8 2.1 3.2

Other places in Europe 275 3.4 12.1 6.9 8.3 7.4 2.9 2.3 1.5 2.3 1.1 2.3 0.7 1.1 1.5 2.2 2.3 3.1

Turkey 36 8.2 11.3 8.3 8.3 14.1 3.0 3.0 3.0 6.1 5.9 3.0 6.0 3.0 3.0 6.0 6.0 8.0

Other Middle East or Africa 143 12.5 8.1 6.6 5.1 8.6 2.0 2.7 0.8 3.4 1.4 0.8 0.8 1.4 0.8 1.5 1.5 4.8

USA east 222 2.1 12.3 10.2 6.4 8.6 3.8 1.5 1.5 2.5 2.2 1.5 0.5 1.5 1.0 0.9 2.4 4.0

USA west 247 1.5 11.1 9.5 4.4 10.2 4.8 1.8 1.8 2.2 1.3 1.3 0.9 2.2 1.8 1.4 1.3 4.4

USA south 91 1.2 5.8 4.6 4.6 3 .6 2.4 2.4 2.4 3.6 2.4 3.6 1.2 1.2 2.4 1.2 1.2 2.4

Canada 131 2.8 25.4 18.6 15.1 11.3 8.3 3.2 1.7 2.5 2.9 2.5 1.7 3.4 1.7 2.4 4.0 6.2

Alaska 19 11.9 18.0 11.9 18.0 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9

Central/SouthAmericaorCaribbean 110 6.5 20.2 15.8 12.5 9.4 5.0 3.5 1.0 3.8 1.0 2.0 1.0 2.8 1.0 1.0 2.0 5.2

Hawaii (Oahu) 655 0.8 8.8 7.4 3.9 10.5 3.7 0.8 0.7 0.8 0.9 0.3 0.2 0.6 0.3 0.4 1.3 6.3

Hawaii (other than Oahu) 301 1.7 14.9 12.3 8.3 14.2 4.9 0.6 1.1 1.7 1.0 1.0 0.4 1.4 0.4 0.7 1.7 9.2

Guam 402 0.8 9.3 9.0 2.7 18.1 6.6 0.8 1.0 1.6 0.8 0.8 0.5 1.0 0.5 0.9 2.4 12.4

Saipan 158 1.4 14.4 13.7 5.6 20.9 7.0 1.4 1.9 2.1 0.7 2.1 1.2 1.4 0.7 2.2 6.0 13.8

South Pacific islands or other islands 205 4.5 19.9 13.9 13.0 16.7 5.3 3.0 2.1 4.8 1.6 2.7 0.5 2.1 1.1 1.1 2.7 9.0

Shanghai 119 5.7 3.6 1.8 3.6 12.2 3.1 1.5 1.5 2.2 2.4 2.5 3.5 4.1 4.1 3.2 5.7 6.9

Beijing 40 10.2 10.8 5.4 10.8 23.0 10.2 7.3 6.6 7.3 7.2 7.3 4.5 4.5 4.5 4.5 10.1 15.4

Other China (exc. Hong Kong / Macau) 87 5.7 6.0 4.8 3.8 16.3 8.4 3.1 2.1 2.1 3.3 2.1 4.0 2.1 2.1 3.3 5.6 5.7

Hong Kong 334 2.6 5.3 4.1 3.1 17.3 6.0 2.1 1.0 2.4 1.3 1.6 1.6 2.2 1.0 1.0 4.8 8.5

Macau 117 6.6 3.4 2.7 2.4 16.1 4.6 3.8 1.9 4.3 1.9 1.9 1.9 2.7 1.9 1.9 5.8 9.0

Taiwan 804 2.2 3 .0 2.3 1.7 17.4 5.4 1.4 0.8 1.5 1.1 1.4 1.4 1.9 1.0 1.2 4.1 8.4

Korea 496 1.3 2 .2 1.8 1.7 15.7 4.9 0.8 0.9 1.5 0.7 1.7 1.4 2.4 1.0 1.2 5.8 7.0

Singapore 314 5.6 10.2 8.9 2.2 11.6 3.5 0.6 0.6 1.2 0.3 0.6 1.3 2.0 0.3 0.3 3.4 5.3

Phuket 101 1.8 12.3 11.2 6.9 14.1 5.6 3.0 1.1 2.2 1.1 2.2 1.8 1.1 1.1 1.8 3.7 11.4

Thai beaches (other than Phuket) 100 3.0 8.0 6.2 3.8 12.8 4.8 1.1 1.1 2.2 2.1 1.1 1.1 1.1 1.1 1.1 3.7 9.4

Bangkok or other Thai cities 264 4.6 3.8 3.4 0.8 11.0 5.0 1.1 0.8 1.3 0.4 0.4 1.7 0.4 0.4 1.2 3.9 3.4

Bali 158 2.6 15.5 14.8 7.0 12.1 5.0 0.7 1.4 1.4 0.7 0.7 1.2 1.4 0.7 1.7 2.3 7.8

Indonesian beaches (other than Bali) 28 26.0 12.2 9.5 6.6 10.7 3.9 3.9 3.9 3.9 7.7 3.9 3.9 3.9 3.9 3.9 3.9 10.7

Indonesian cities 32 20.3 3.4 3.4 3.4 13.5 3.4 6.8 6.8 6.8 10.1 10.3 3.4 3.4 6.8 3.4 3.4 6.7

Malaysia 139 7.8 13.2 11.0 4.4 11.9 4.0 3.2 1.6 4.6 2.3 2.4 0.8 1.4 1.6 1.6 3.8 7.1

Philippines 189 4.0 9.8 7.8 4.8 13.1 6.2 1.0 1.5 2.2 0.6 0.6 1.0 1.6 0.6 1.0 3.2 7.6

Vietnam 212 9.9 6.4 5.1 1.8 7.6 3.7 1.4 0.9 1.3 0.5 0.5 0.5 1.5 0.5 0.5 1.4 4.1

Cambodia 70 17.1 4.6 3.4 1.2 8.9 4.5 ― ― ― ― ― ― ― ― ― 2.7 6.7

Other places in Asia 137 100.0 7.2 5.0 4.6 7.8 2.4 0.8 0.8 3.1 0.8 0.8 0.8 0.8 0.8 1.6 1.6 3.9

Australia 257 2.7 100.0 100.0 28.4 11.6 4.7 1.6 1.2 1.3 0.9 1.1 1.3 3.0 0.9 1.2 2.7 6.6

New Zealand or other Oceania 150 4.3 100.0 48.7 100.0 11.6 6.3 2.7 1.5 2.8 1.4 2.0 0.7 2.8 0.7 1.4 3.2 5.2



Destination

Considered on

Last Trip

(middle

classification)

Oceania

Guam or Saipan

Southeast Asia

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

Japan

Hawaii

Hong Kong or MacauChina (excluding Hong Kong and Macau)

Destination

Considered on

Last Trip

(middle

classification)

Destination

Considered on

Last Trip

(middle

classification)

43


■Destinations considered on last trip: by destination considered on last trip (Those involved in considering travel plans/Multiple answers)



44


■Destinations considered on last trip and last travel destination (Those involved in considering travel plans/Multiple answers)

2017 survey consideration percentage2017 survey last destination percentage

Consideration Percentage Last destination PercentageRate of

Actual Visit

2017

survey

2016

survey

2017

survey

2016

survey

2017

survey

(n=4,069) (%) (n=3,979) (n=4,069) (%) (n=3,979) (n=4,069)

イギリス UK (n=247) 6.1 6.2 (n=114) 2.8 3.0 46.2

フランス France (n=295) 7.3 9.3 (n=121) 3.0 4.5 41.0

Germany (n=212) 5.2 7.2 (n=89) 2.2 3.3 42.0

スペイン Spain (n=233) 5.7 6.6 (n=88) 2.2 2.6 37.8

イタリア Italy (n=296) 7.3 8.9 (n=157) 3.9 4.6 53.0

西ヨーロッパ諸国 Other countries in western Europe (n=250) 6.1 8.0 (n=134) 3.3 4.2 53.6

ギリシア Greece (n=45) 1.1 1.7 (n=6) 0.1 0.3 13.3

東ヨーロッパ諸国 Countries of eastern Europe (n=167) 4.1 4.4 (n=79) 1.9 1.7 47.3

北ヨーロッパ諸国 Countries of northern Europe (n=119) 2.9 3.5 (n=58) 1.4 1.4 48.7

Turkey (n=36) 0.9 2.1 (n=7) 0.2 0.5 19.4

モロッコ Morocco (n=41) 1.0 0.8 (n=11) 0.3 0.3 26.8

エジプト Egypt (n=27) 0.7 0.5 (n=11) 0.3 ― 40.7

ドバイ（アラブ首長国連邦） Dubai (n=47) 1.1 1.1 (n=18) 0.5 0.4 38.3

Kenya (n=5) 0.1 0.2 (n=0) ― ― ―

中近東・アフリカ（トルコ、モロッコ等以外）Other Middle East or Africa (n=47) 1.2 1.0 (n=20) 0.5 0.4 42.6

アメリカ東部（ニューヨーク、ナイアガラなど）USA east (n=222) 5.4 5.9 (n=126) 3.1 3.2 56.8

アメリカ西部（ロサンゼルス、ラスベガスなど）USA west (n=247) 6.1 6.2 (n=145) 3.6 3.7 58.7

アメリカ南部（マイアミ、オーランドなど）USA south (n=91) 2.2 2.0 (n=47) 1.2 1.0 51.6

Canada (n=131) 3.2 3.2 (n=75) 1.9 1.6 57.3

アラスカ Alaska (n=19) 0.5 0.4 (n=1) ― ― 5.3

メキシコ（カンクン、ティファナなど）Mexico (n=44) 1.1 1.1 (n=23) 0.6 0.3 52.3

ジャマイカ Jamaica (n=7) 0.2 0.2 (n=2) 0.1 ― 28.6

カリブ海諸島（キューバ、バハマ、ケイマンなど）Caribbean islands (n=39) 1.0 0.6 (n=13) 0.3 0.2 33.3

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=52) 1.3 1.3 (n=26) 0.6 0.6 50.0

オアフ島 Hawaii (Oahu) (n=655) 16.1 15.3 (n=434) 10.7 10.7 66.3

ハワイ（オアフ島以外） Hawaii (other than Oahu) (n=301) 7.4 7.0 (n=102) 2.5 2.5 33.9

Guam (n=402) 9.9 10.3 (n=185) 4.5 5.6 46.0

サイパン Saipan (n=158) 3.9 4.1 (n=22) 0.5 0.7 13.9

Palau (n=68) 1.7 1.6 (n=17) 0.4 0.2 25.0

ミクロネシア（グアム、サイパン、パラオ以外）Other Micronesia (n=17) 0.4 0.6 (n=4) 0.1 0.1 23.5

フィジー Fiji (n=27) 0.7 0.5 (n=1) ― 0.1 3.7

Tahiti (n=51) 1.3 1.2 (n=7) 0.2 0.2 13.7

ニューカレドニア New Caledonia (n=59) 1.5 1.3 (n=11) 0.3 0.1 18.6

モルディブ Maldives (n=87) 2.1 1.7 (n=26) 0.6 0.4 29.9

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=24) 0.6 0.4 (n=4) 0.1 0.1 16.7

上海（中国） Shanghai (n=119) 2.9 2.1 (n=79) 2.0 1.2 66.4

北京（中国） Beijing (n=40) 1.0 1.1 (n=15) 0.4 0.5 37.5

香港（中国） Hong Kong (n=334) 8.2 6.9 (n=154) 3.8 3.3 46.1

マカオ（中国） Macau (n=117) 2.9 2.8 (n=38) 0.9 1.1 32.5

中国（上海、北京、香港、マカオ以外）Other China (n=87) 2.1 2.5 (n=43) 1.1 1.5 49.4

Taiwan (n=804) 19.8 16.0 (n=566) 13.9 11.2 70.4

Korea (n=496) 12.2 9.6 (n=358) 8.8 6.9 72.2

シンガポール Singapore (n=314) 7.7 8.1 (n=149) 3.7 4.3 47.5

プーケット島 Phuket (n=101) 2.5 2.4 (n=24) 0.6 0.8 23.8

タイビーチ（プーケット島以外） Thai beaches (other than Phuket) (n=100) 2.5 2.5 (n=27) 0.7 0.5 27.0

タイ（ビーチリゾート以外） Thailand (other than beach resorts) (n=264) 6.5 7.2 (n=160) 3.9 4.6 60.6

Bali (n=158) 3.9 5.1 (n=56) 1.4 1.7 35.4

インドネシアビーチ（バリ島以外）Indonesian beaches (other than Bali) (n=28) 0.7 0.6 (n=1) ― 0.1 3.6

インドネシア（ビーチリゾート以外）Indonesia (other than beach resorts) (n=32) 0.8 1.0 (n=6) 0.2 0.1 18.8

マレーシアビーチ（ランカウイ島、ペナン島など）Malaysian beaches (n=69) 1.7 1.9 (n=19) 0.5 0.5 27.5

マレーシア（ビーチリゾート以外）Malaysia (other than beach resorts) (n=94) 2.3 2.9 (n=31) 0.8 1.3 33.0

Cebu Island (n=134) 3.3 2.4 (n=38) 0.9 0.7 28.4

フィリピンビーチ（セブ島以外） Philippine beaches (other than Cebu Island) (n=45) 1.1 1.0 (n=8) 0.2 0.3 17.8

フィリピン（ビーチリゾート以外）Philippines (other than beach resorts) (n=47) 1.2 0.8 (n=35) 0.9 0.4 74.5

ベトナムシティ（ホーチミン、ハノイ）Vietnam cities (Ho Chi Minh, Hanoi) (n=168) 4.1 4.7 (n=81) 2.0 2.4 48.2

ベトナムビーチ（ニャチャン、ダナンなど）Vietnam beaches (n=70) 1.7 2.0 (n=16) 0.4 0.6 22.9

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=36) 0.9 1.5 (n=7) 0.2 0.5 19.4

カンボジア Cambodia (n=70) 1.7 2.7 (n=24) 0.6 1.2 34.3

India (n=41) 1.0 1.4 (n=24) 0.6 0.5 58.5

スリランカ Sri Lanka (n=35) 0.9 1.0 (n=12) 0.3 0.3 34.3

その他のアジア Other placesin Asia (n=72) 1.8 1.9 (n=34) 0.8 0.6 47.2

オーストラリア Australia (n=257) 6.3 6.1 (n=124) 3.1 2.9 48.2

ニュージーランド New Zealand (n=135) 3.3 2.9 (n=41) 1.0 0.8 30.4

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=22) 0.5 0.4 (n=2) ― 0.1 9.1

† 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

2017 survey consideration percentage

2017 survey last destination percentage（％）



45

2. Reasons for Deciding on Destinations

■Reason for deciding on last travel destination (Those involved in considering travel plans/Single answer)

2017 survey2016 survey

2017

survey

2016

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=4,069) (n=3,979) (n=280) (n=417) (n=546) (n=395) (n=474) (n=468) (n=412) (n=397) (n=322) (n=357)

Suited my date of departure, date of return, day of the week, travel period, etc. 11.0 11.7 10.7 12.5 13.7 12.5 9.4 10.7 10.6 11.6 9.4 8.1

Suited my budget 9.2 7.6 13.1 15.4 12.0 7.4 4.9 13.3 8.7 7.8 2 .5 4.5

I just happened to discover a good travel product 5.4 5.2 4.0 3.2 4.4 5.5 6.7 5.6 4.6 5.8 5.8 8.7

Suited my booking needs such as available seat on plane, available room at hotel, etc. 2.6 2.1 2.4 2.3 4.3 4.9 2.9 1.2 3.5 2.6 ― 1.3

It suited the needs of accompanying travelers, such as my children 1.3 0.8 0.4 1.9 1.2 0.4 0.9 0.5 2.7 2.9 0.7 1.0

Suited my flying time or flight from the closest airport, etc. 0.8 1.1 ― 1.3 0.8 1.1 1.1 0.9 1.1 0.3 1.1 0.3

Because I wanted to earn miles 0.8 0.7 2.8 1.1 0.9 1.1 0.4 ― 1.1 0.3 ― 0.3

Accompanying travelers wanted to go there 9.1 8.9 13.1 10.8 8.7 6.0 6.3 10.7 10.3 9.9 8.7 8.1

It was a location I had wanted to go to from before 7.5 7.3 9.1 4.4 4.4 5.1 6.3 12.8 8.4 7.2 8.7 9.7

I have family members, relatives, acquaintances, friends at the destination 5.9 6.3 4.0 3.0 4.9 8.1 6.3 4.9 7.6 6.4 8.3 5.8

I had been there before and found that it was good 5.8 6.1 1.6 5.3 7.6 6.2 5.4 5.1 4.1 10.1 8.0 3.2

I was interested in a particular sightseeing spot 3.5 4.3 2.8 3.0 4.3 3.2 5.8 2.6 3.5 0.9 5.8 2.9

Was recommended by family members, acquaintances, friends 2.7 2.8 3.2 4.7 2.6 2.5 1.1 2.6 4.1 1.2 1.8 3.2

I was interested in a particular event, activity 2.5 2.4 1.2 1.9 2.4 3.0 1.8 2.8 1.1 3.2 4.7 2.9

I felt like going after seeing it on TV, in a magazine, on the web, etc. 2.4 2.3 2.8 3.0 2.1 2.1 2.5 3.7 1.9 2.0 1.1 2.6

Was recommended by a travel agent 0.5 0.4 0.8 1.5 0.5 0.8 0.2 0.2 ― 0.9 0.4 0.3

I felt like going after seeing it in a blog, hearing about it through word-of-mouth communication, etc. 0.5 0.3 ― 0.2 0.8 0.4 0.2 0.7 1.4 1.2 ― ―

I felt like going after seeing a travel bureau website, etc. 0.5 0.2 0.4 0.8 0.3 0.2 0.9 0.7 0.3 ― 0.7 0.3

Seems safe 4.3 3.4 2.8 4.4 3.2 4.5 6.0 3.7 4.9 3.5 5.4 4.5

Food seems good 3.6 3.7 4.4 3.6 3.8 4.3 2.5 2.6 3.3 3.8 3.3 4.8

Climate seems good 3.0 2.7 3.6 3.8 3.3 1.9 4.7 1.6 1.9 2.9 1.1 4.8

Nature seems good 2.8 3.1 2.0 1.5 1.7 3.0 4.9 1.6 3.8 2.9 2.5 4.5

Timing of the trip seems good 2.1 2.3 1.6 1.1 1.2 1.7 1.8 1.6 1.6 2.9 5.4 2.9

Prices seems cheap 2.0 2.0 2.4 1.5 2.1 3.0 2.2 2.1 1.1 1.2 3.3 1.0

Hotel I want to stay at seems good 1.9 2.2 2.8 1.7 2.1 1.5 1.1 1.4 1.9 2.6 2.9 1.6

City seems good 1.7 2.4 2.4 2.3 1.7 1.9 2.0 1.4 1.4 0.9 1.4 1.6

Hospitality seems good 0.5 0.6 0.8 0.2 0.5 0.8 0.4 1.2 ― ― 0.7 0.6

Hygienic 0.2 0.3 0.4 ― 0.3 0.2 ― ― 0.5 0.3 ― 0.6

Other 6.0 6.7 4.8 3.8 4.3 6.6 11.4 4.0 4.6 4.9 6.2 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

2017 survey

Sex & age

0 5 10 15

2017 survey 2016 survey（％）



Those involved in consideration/total

Mostly

decided on my own

Decided

with travel

companions

Left whole decision

with companionsOther No ans.

●Legend

2017 survey total (n=4,986) 81.6

2016 survey total (n=4,802) 82.9

Sex Male (n=2,558) 82.6

Female (n=2,428) 80.6

Sex & age Male 18-29 yrs (n=363) 77.1

Male 30-39 yrs (n=502) 83.1

Male 40-49 yrs (n=633) 86.3

Male 50-59 yrs (n=459) 86.2


Female 18-29 yrs (n=615) 76.1

Female 30-39 yrs (n=483) 85.2

Female 40-49 yrs (n=462) 86.0

Female 50-59 yrs (n=389) 82.9


Area of


Kansai (n=1,235) 79.6

Tokai (n=713) 82.0

Life









Student (n=248) 61.6

Number of


Middle (n=1,253) 78.1

Heavy (n=2,881) 86.6

Used (n=2,343) 100.0

Didn't use (n=1,726) 100.0

Package use

† Only those

involved in

considering

Those

involved in

consideration

/total

36.0 ％

37.9

39.7

32.1

31.5

38.1

43.2

45.0

38.0

22.1

35.0

40.4

36.0

31.0

37.1

33.0

36.3

35.2

35.1

23.9

27.7

45.8

52.4

28.6

48.4

22.8

22.4

27.6

43.7

35.8

55.3

45.6

45.0

43.0

48.4

45.6

45.0

43.1

41.2

40.8

54.0

50.2

45.6

46.8

43.5

45.2

46.6

45.7

43.3

44.8

55.9

57.9

40.7

32.4

49.2

43.0

38.8

47.3

50.6

43.0

64.2

44.7

16.8

15.4

16.1

17.6

21.1

16.2

12.9

12.7

18.8

21.8

14.1

13.5

15.3

21.4

15.9

19.1

16.5

19.3

19.7

19.1

13.3

12.5

13.7

20.9

7.2

34.9

27.5

20.2

12.1

－

－

1.6

1.8

1.3

1.9

1.8

0.7

0.8

1.1

2.3

2.1

0.7

0.5

1.8

4.1

1.8

1.3

1.5

2.2

0.5

1.2

1.1

1.1

1.5

1.3

1.4

3.5

2.7

1.7

1.2

－

－

46

■Degree of involvement in consideration process (Total/Single answer)

3. Degree of Involvement in Consideration Process



47

4. Timing of Travel Consideration and Booking (1)

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 4,069 18.3 19.5 28.6 14.4 10.4 1.7 1.3 0.7 5.1 4.8

When started considering 4,069 9.9 15.3 30.3 19.2 14.8 3.5 2.1 1.0 3.9 3.6

When booked 4,069 6.2 11.7 26.0 22.5 19.0 5.6 3.7 1.8 3.5 2.9



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

2017

Survey

2016

Survey

2015

Survey

0

10

20

30

40

When first thought of traveling 2017 When started considering 2017 When booked 2017

（％）

■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)



48


Sample

When first thought of

traveling

When started

consideringWhen booked

4,069 4.8 3.6 2.9

3,979 4.8 3.6 2.9

4,198 4.8 3.5 2.8

Male 2,113 4.8 3.7 3.0

Female 1,957 4.8 3.5 2.8

Male 18-29 yrs 280 4.8 3.4 2.6

Male 30-39 yrs 417 4.4 3.3 2.7

Male 40-49 yrs 546 4.6 3.5 2.9

Male 50-59 yrs 395 5.1 4.0 3.4

Male 60 yrs or older 474 5.2 4.1 3.4

Female 18-29 yrs 468 4.7 3.4 2.7

Female 30-39 yrs 412 4.6 3.3 2.5

Female 40-49 yrs 397 5.3 3.9 3.2

Female 50-59 yrs 322 4.6 3.5 2.9

Female 60 yrs or older 357 4.9 3.6 3.0

Kanto 2,501 4.8 3.6 3.0

Kansai 983 4.7 3.4 2.8

Tokai 585 5.2 3.8 3.0

Worker (child 7 yrs and over) 1,428 4.9 3.8 3.1

Worker (child 2-6 yrs) 185 4.8 3.7 3.0

Worker (child 1 yr and under) 116 5.4 3.8 2.8

Worker (married, no children) 858 5.3 3.9 3.2

Worker (unmarried) 1,329 4.4 3.2 2.5

Unmarried male 701 4.2 3.0 2.5

Unmarried female 20s/30s 541 4.2 3.1 2.4

Unmarried female 40s and over 234 5.2 3.9 3.2

Student 153 4.6 3.3 2.7

Light 594 4.9 3.5 2.7

Middle 979 4.8 3.5 2.8

Heavy 2,496 4.8 3.6 3.0

Used 2,343 4.7 3.4 2.7

Didn't use 1,726 5.0 3.8 3.2

Area of

residence

Life

stage

Number of

trips taken

Package

use

2017 survey total

2016 survey total

2015 survey total

Sex & age

Sex

0

1

2

3

4

5

6

2017 survey total

2016 survey total

2015 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)



49


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

2017 survey total (n=4,069) 0.7

2016 survey total (n=3,979) 0.7

2015 survey total (n=4,198) 0.7

Sex Male (n=2,113) 0.6

Female (n=1,957) 0.7

Sex & age Male 18-29 yrs (n=280) 0.7

Male 30-39 yrs (n=417) 0.6

Male 40-49 yrs (n=546) 0.6

Male 50-59 yrs (n=395) 0.6


Female 18-29 yrs (n=468) 0.7

Female 30-39 yrs (n=412) 0.8

Female 40-49 yrs (n=397) 0.7

Female 50-59 yrs (n=322) 0.5


Area of


Kansai (n=983) 0.7

Tokai (n=585) 0.8

Life




Worker (married, no children) (n=858) 0.7





Student (n=153) 0.7

Number of


Middle (n=979) 0.7

Heavy (n=2,496) 0.6

Used (n=2,343) 0.7

Didn't use (n=1,726) 0.6

Average

(no.

mon.)

Package use

60.3％

59.0

60.6

61.6

58.9

57.5

62.4

64.2

62.8

59.4

56.7

57.6

56.8

62.3

62.3

60.3

61.0

59.3

61.3

60.2

53.7

60.4

60.1

62.7

56.9

56.9

57.0

51.7

58.8

62.9

58.0

63.4

1.1

0.9

0.9

0.9

1.2

1.6

1.1

0.9

1.1

0.2

0.9

1.6

2.0

0.4

1.0

0.9

1.5

0.9

0.5

0.0

0.8

1.0

2.0

1.7

1.6

2.5

0.0

0.5

1.3

1.1

0.6

1.6

22.5

23.4

22.4

21.3

23.9

17.1

21.8

21.3

20.6

23.9

24.4

23.4

24.6

25.7

21.3

23.2

22.2

20.1

22.6

23.1

27.3

22.3

21.6

20.3

23.8

24.3

26.5

24.1

23.9

21.6

25.0

19.2

6.5

7.1

6.3

7.2

5.7

11.1

7.0

5.9

6.4

7.4

5.8

7.1

5.2

5.4

4.8

6.9

5.1

7.4

7.2

6.9

8.0

6.0

5.9

6.2

6.1

5.5

7.2

9.5

7.7

5.3

7.2

5.5

2.5

2.9

2.9

2.3

2.8

2.8

2.3

1.8

1.9

2.9

4.0

3.3

2.0

1.4

2.9

2.3

3.2

2.6

2.5

5.0

5.3

2.3

2.3

2.1

2.8

1.5

1.4

4.0

2.7

2.1

2.5

2.6

3.1

2.7

3.5

3.0

3.1

3.2

2.1

2.7

3.4

3.8

2.6

3.3

4.9

1.8

2.9

2.6

3.2

5.0

2.8

2.2

5.0

3.5

3.1

2.7

2.9

4.4

2.9

3.6

2.9

3.0

3.3

2.8

4.0

3.9

3.3

3.6

4.4

6.7

3.4

3.0

3.8

2.5

5.6

3.8

4.3

2.9

4.8

3.8

3.9

4.7

3.2

2.6

－

4.5

5.0

4.3

5.9

4.9

5.0

6.6

2.8

3.8

3.3

4.9

■The period of consideration from the start of consideration through booking (Those involved in considering travel plans/Single answer)



50

5. Sources of Information Used to Compare for Consideration

Sample

Internet

accessed by

PC

Internet

accessed by

smartphone/

tablet, etc.

Travel agency

pamphlets

Guidebooks

("Chikyuu no

arukikata,"

etc.)

Guidebook-

style

magazines

such as

"Rurubu

Hawaii," etc.

Travel agency

counters

Feedback and

introductions

(word-of-

mouth) of

friends,

acquaintances,

family members

Information

magazines

sent from

travel agents

and airlines

Email magazine

send by travel

agent or airline

Newspaper ads

Articles and

ads in general-

interest

magazines

Overseas

travel

magazines

other than

guidebook-

style

magazines

TV programs

and

commercials

Free flyers and

flyers in

newspapers

Acquaintances

at travel

agencies

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

2017 survey total 4,069 72.6 24.8 22.9 13.0 11.7 10.9 9.6 9.5 5.8 3.7 3.0 2.8 2.6 1.3 1.2 1.0 0.5 0.4 1.1 5.3

2016 survey total 3,979 75.4 19.3 25.5 14.3 11.2 13.5 8.1 10.4 5.3 2.9 2.7 3.0 2.8 1.3 1.4 0.9 0.4 0.3 0.8 5.1

2015 survey total 4,198 77.3 16.1 25.8 14.9 10.9 14.1 7.9 10.7 5.5 3.2 2.3 2.6 2.4 1.8 1.4 1.0 0.4 0.2 1.2 4.2

Male 2,113 76.9 19 .8 20.1 13.2 10.8 9.0 8.4 9.1 5.8 3.3 3.6 3.0 2.7 1.4 1.3 1.3 0.7 0.3 1.4 6.1

Female 1,957 68.0 30.2 25.9 12.9 12.7 12.9 11.0 9.9 5.9 4.1 2.5 2.6 2.5 1.3 1.1 0.7 0.3 0.6 0.8 4.4

Male 18-29 yrs 280 65 .5 35.7 19.4 11.9 12.7 15.5 11.1 5.6 2.8 0.8 3.6 4.8 1.6 0.8 2.0 0.8 0.8 0.4 0.4 7.9

Male 30-39 yrs 417 78.0 32.8 20.9 11.2 13.5 11.4 8.9 4 .2 4.2 2.3 6.1 2.3 1.5 1.9 1.7 2.3 1.5 0.8 0.8 5.1

Male 40-49 yrs 546 81.7 20.9 17 .2 12.8 11.4 8.1 9.1 5.0 6.1 2.7 3.7 2.7 2.9 1.1 1.5 1.4 0.6 0.3 0.3 4.9

Male 50-59 yrs 395 78.8 11 .9 17 .6 11.9 8.9 6.0 6.0 7.8 6.4 2.6 2.3 2.1 3.8 1.9 0.9 1.1 0.4 ― 1.9 8.3

Male 60 yrs or older 474 75.4 4 .2 25.2 17.2 8.0 6.5 7.6 21.2 8.0 6.7 2.2 3.6 3.1 1.1 0.7 0.7 0.4 ― 3.1 5.6

Female 18-29 yrs 468 56 .7 54.2 29.1 8.8 15.1 21.6 13.0 4 .4 2.1 0.7 3.3 2.1 2.3 1.2 1.6 1.2 0.7 2.1 ― 5.3

Female 30-39 yrs 412 70.4 41.8 23.6 10.6 13.0 13.9 10.1 4.6 3.3 1.1 2.4 3.0 1.9 1.6 1.1 1.4 0.3 0.3 0.3 3.8

Female 40-49 yrs 397 78.0 24.3 20.6 18.6 11.6 7.5 9.3 5.5 4.6 2.6 2.9 3.5 3.2 0.9 2.0 0.3 ― ― 0.3 4.1

Female 50-59 yrs 322 76.1 14 .5 26.4 16.3 13.8 10.1 8.7 12.0 9.1 6.9 2.5 3.3 1.4 2.2 0.4 0.4 0.4 ― 1.8 3.6

Female 60 yrs or older 357 61 .6 6 .1 29.7 11.3 9.7 8.7 13.2 26.1 12.6 11.3 1.0 1.3 3.9 1.0 0.3 ― 0.3 ― 1.9 4.8

Kanto 2,501 75.5 25.1 21.3 13.8 12.2 9.7 8.9 9.8 5.9 3.8 3.0 2.9 2.3 1.0 1.3 1.1 0.6 0.3 1.2 4.9

Kansai 983 67 .5 25.2 27.1 11.9 12.5 11.8 11.6 9.2 5.9 3.0 3.2 3.0 2.9 1.5 0.9 1.0 0.4 0.9 1.0 6.1

Tokai 585 68.9 22.8 22.6 11.8 8.4 14.1 9.4 8.5 5.7 4.1 3.0 2.4 3.3 2.4 1.5 0.6 0.6 0.2 0.6 5.8

Worker (child 7 yrs and over) 1,428 73.3 12 .8 25.6 13.9 11.2 9.1 9.4 16.0 7.8 6.3 2.2 2.7 3.0 1.6 0.8 0.8 0.3 0.1 1.6 5.5

Worker (child 2-6 yrs) 185 77.0 31.3 19.2 8.1 13.7 6.3 14.9 7.3 5.7 4.6 4.2 4.2 2.6 4.3 3.5 5.3 1.9 1.0 0.5 4.6

Worker (child 1 yr and under) 116 73.3 39.6 22.2 6 .8 14.4 14.7 5.8 5.7 3.5 1.7 3.6 4.6 2.5 0.9 3.6 ― 0.9 0.9 1.0 5.9

Worker (married, no children) 858 71.6 24.8 24.9 12.8 12.9 15.9 7.4 6.8 5.1 3.1 3.4 3.2 2.4 0.7 1.3 0.6 0.2 0.4 0.9 4.6

Worker (unmarried) 1,329 72.6 33.5 19.6 13.1 11.2 9.4 10.2 5.7 5.0 1.5 3.4 2.0 2.2 1.1 1.2 0.9 0.6 0.3 0.8 5.3

Unmarried male 701 78.8 27.2 15 .2 14.3 10.3 7.9 10.0 4.8 5.5 1.3 4.3 3.0 2.2 1.2 1.4 1.2 1.2 0.3 1.2 5.7

Unmarried female 20s/30s 541 61 .9 49.5 24.4 10.4 13.2 14.2 12.4 4 .5 2.2 0.6 3.0 1.8 2.2 1.0 0.6 1.2 0.6 1.6 ― 5.3

Unmarried female 40s and over 234 74.3 20.8 22.8 17.8 8.9 5 .9 9.9 8.4 7.4 4.0 2.0 2.0 3.0 1.0 1.0 ― ― ― 1.0 5.5

Student 153 66 .3 42.2 20.1 15.8 10.1 13.6 15.8 2 .2 0 .7 0.7 4.3 5.8 3.6 1.4 0.7 2.2 2.2 4.3 ― 7.2

Light 594 60 .0 31.8 31.3 8.3 16.7 20.8 11.1 6.4 2.3 2.3 3.7 2.4 2.6 1.7 1.6 1.7 0.7 0.9 0.3 5.2

Middle 979 72.2 31.3 28.4 12.6 13.9 15.4 11.7 7.0 4.5 3.8 3.5 2.8 2.7 1.9 1.0 1.2 0.4 0.2 0.4 3.7

Heavy 2,496 75.8 20.6 18.7 14.3 9.7 6.7 8.5 11.2 7.2 4.0 2.7 2.9 2.6 1.0 1.3 0.8 0.6 0.4 1.5 5.9



Number

of

trips taken

Area of

residence

Sex & age

Sex

Life

stage

0

20

40

60

80

2017 survey total

2016 survey total

2015 survey total

（％）

■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 2016 Chapter 3 Process of Package Tour Selection

52

1. Use of Package Tours

■Use of package tour on last overseas trip taken (Those involved in considering travel plans/Single answer)

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

2017 survey total (n=4,069) 57.6

2016 survey total (n=3,979) 57.4

Sex Male (n=2,113) 52.7

Female (n=1,957) 62.8

Sex & age Male 18-29 yrs (n=280) 53.2

Male 30-39 yrs (n=417) 57.7

Male 40-49 yrs (n=546) 51.0

Male 50-59 yrs (n=395) 44.6


Female 18-29 yrs (n=468) 67.7

Female 30-39 yrs (n=412) 55.7

Female 40-49 yrs (n=397) 54.2

Female 50-59 yrs (n=322) 63.0


Light (n=594) 69.8

Middle (n=979) 66.6

Heavy (n=2,496) 51.1

3 days or less (n=617) 53.7

4 days (n=675) 66.0

5 days (n=713) 66.8

6 days (n=446) 65.0

7 days (n=481) 56.0

8-9 days (n=570) 63.6

10-１4 days (n=391) 38.5

１5 days or more (n=176) 9.6

Long distance (n=1,217) 56.7

Medium distance (n=1,360) 59.2

Short distance (n=1,492) 56.9

Use

to tal

Distance of

the last

destination

Used

Number

of

trips taken

Number of

days traveled

17.2％

18.5

16.9

17.6

13.1

14.2

11.6

13.0

31.0

10.7

10.1

13.3

18.8

38.7

20.4

16.1

16.9

11.2

15.1

15.9

16.6

17.5

30.8

20.1

2.5

26.6

12.3

14.2

13.3

13.3

13.4

13.2

15.9

12.9

13.9

9.8

15.0

13.7

12.5

10.1

15.2

15.2

19.8

17.2

10.3

11.5

14.3

16.9

14.6

14.4

14.4

8.7

3.0

14.2

14.3

11.8

18.3

18.3

15.0

21.9

16.3

21.6

17.2

14.0

6.7

31.9

24.2

18.3

18.1

13.5

22.8

23.4

15.2

17.6

25.0

25.2

26.2

16.1

11.6

6.4

1.3

8.7

24.7

20.3

8.7

7.3

7.4

10.1

7.9

9.1

8.4

7.8

4.2

11.4

9.0

12.5

10.9

6.5

6.9

9.8

8.7

13.4

11.6

8.8

7.7

8.1

6.8

3.4

2.9

7.2

7.9

10.6

42.4

42.6

47.3

37.2

46.8

42.3

49.0

55.4

43.1

32.3

44.3

45.8

37.0

26.1

30.2

33.4

48.9

46.3

34.0

33.2

35.0

44.0

36.4

61.5

90.4

43.3

40.8

43.1



53

2. Reasons for Selection of Package Tour

■Reasons for selection of package tour (Package tour users involved in the consideration of trip/Multiple answers)

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 t

he p

rice is

less

than

that

of a

tour

Becau

se it

com

es

with a

Jap

anese

speak

ing

guid

e

Becau

se it

’s

poss

ible

to in

quire t

o

the t

rave

l age

ncy

if so

meth

ing

should

hap

pen

Becau

se it

sav

es

me fro

m h

avin

g to

sear

ch for

and

book

rest

aura

nts

Price is

cheap

er

than

if I w

ere

to

plan

the t

rip

conte

nt

indi

vidu

ally

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

Becau

se it

pro

vide

s m

e w

ith fre

e

tim

e

Becau

se it

enab

les

access

to

accom

moda

tions

and

hote

ls t

hat

are

relia

ble

Becau

se t

here

is n

o w

orr

y ab

out

gett

ing

lost

Becau

se s

afety

would

be a

n is

sue if

I

went

indi

vidu

ally

Becau

se s

impl

y th

e p

rice w

as lo

w

Com

es

with s

upp

ort

in t

he e

vent

of

accid

ents

, theft

, etc

.

Becau

se it

inclu

des

activi

ties

that

I w

ant

to d

o

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

2017 survey total 2,343 43.2 39.4 27.7 21.3 19.1 18.3 17.5 15.7 14.8 13.9 12.1 10.3 10.2 9.7 9.4 9.2 8.7 5.0 4.0 3.2 1.0 1.8 7.9

2016 survey total 2,284 44.8 39.8 30.1 24.5 22.3 22.1 16.7 17.0 14.6 15.5 11.3 12.8 10.8 11.3 10.4 10.6 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 17.7 17.9 * 14.0 13.3 12.4 12.2 10.2 9.6 10.2 8.4 4.8 4.5 2.8 1.0 1.4 6.7

Male 1,114 39.8 36.0 30.7 16.4 18.5 16.0 15.8 15.4 11.0 15.5 9.5 8.9 9.1 9.1 8.9 7.6 7.7 4.5 4.4 2.9 0.7 1.6 9.6

Female 1,229 46.2 42.4 25.1 25.8 19.6 20.4 19.0 16.0 18.4 12.5 14.6 11.5 11.2 10.2 9.9 10.7 9.6 5.5 3.7 3.5 1.3 2.1 6.4

Male 18-29 yrs 149 26 .1 24 .6 24.6 7 .5 9 .0 6 .0 9 .0 14.2 10.4 6 .7 6 .0 6.7 10.4 4 .5 11.9 11.2 8.2 5.2 6.0 3.7 0.7 ― 13.4

Male 30-39 yrs 241 39.9 33 .3 25.6 13 .6 12 .8 9 .2 11 .4 12.5 10.3 11.4 8.4 4 .4 9.5 5.5 8.4 8.4 5.1 4.0 2.9 2.9 0.7 1.5 12.1

Male 40-49 yrs 278 40.3 33 .7 26.3 17.3 10 .7 10 .7 16.4 11.0 9 .6 12.2 6 .6 5.4 7.8 9.0 6.3 6.0 9.6 3.3 2.4 1.8 0.3 1.2 8.7

Male 50-59 yrs 176 37 .7 35.6 29.2 18.2 18.6 13 .1 17.4 10 .6 11.0 10.6 8.5 4 .7 11.0 11.4 5.5 4 .2 10.6 4.2 6.4 3.4 ― 2.5 8.5

Male 60 yrs or older 270 48.2 47.5 43.9 21.6 36.9 34.9 22.0 26.3 13.3 30.6 16.1 20.4 8.2 13.3 12.5 8.6 5.9 5.9 5.5 3.1 1.6 2.4 7.1

Female 18-29 yrs 317 49.8 42.6 19 .9 24.4 15.5 11 .3 18.6 14.1 21.0 7 .9 10.0 7.2 11.0 6.9 11.0 10.0 11.7 4.8 5.5 4.1 1.4 0.7 8.2

Female 30-39 yrs 229 43.9 38.5 20 .5 28.8 14 .1 10 .7 17.1 11.2 20.0 8 .8 10.2 6.3 11.7 6.8 8.3 6.8 7.3 6.3 3.4 3.4 1.5 1.5 7.8

Female 40-49 yrs 215 42.2 41.7 24.6 30.5 17.6 15.0 18.2 14.4 17.1 12.3 15.0 9.6 12.3 9.6 5.3 8.6 8.6 4.8 3.2 2.1 1.1 2.1 7.0

Female 50-59 yrs 203 41.4 39.1 24.1 24.1 18.4 25.9 20.1 14.4 14.9 8 .6 17.2 10.3 9.8 10.3 8.6 9.2 10.9 4.6 2.3 3.4 ― 4.6 8.0

Female 60 yrs or older 264 50.7 48.5 36.2 22.3 31.9 39.7 21.0 24.9 17.5 24.5 21.4 23.6 11.4 17.5 14.8 17.9 8.7 7.0 3.5 3.9 2.2 2.2 1 .3

Kanto 1,414 42.8 39.7 27.3 20.8 19.0 17.0 17.6 13.7 13.9 13.1 12.7 10.0 11.1 10.0 8.9 8.0 8.7 5.0 4.3 3.1 0.9 1.9 7.3

Kansai 574 43.7 38.1 27.4 20.9 19.1 21.0 17.5 18.8 16.6 14.6 11.2 10.0 8.8 9.1 10.6 12.0 8.7 5.1 3.4 3.2 1.5 1.9 8.6

Tokai 355 43.6 40.0 29.9 24.0 19.5 18.9 16.8 18.5 15.7 16.3 11.5 11.8 9.0 9.2 9.5 9.5 8.3 5.0 3.9 3.7 0.5 1.7 9.4

Worker (child 7 yrs and over) 886 46.0 43.2 33.6 22.8 27.7 27.5 19.6 19.7 15.5 20.1 14.4 15.2 10.3 14.0 10.2 10.7 8.7 5.3 4.1 3.8 1.7 2.4 5.6

Worker (child 2-6 yrs) 99 37 .3 35.8 20 .6 14 .3 11 .2 6 .6 12 .5 8 .2 8 .2 16.3 7.3 6.6 4 .2 5.7 10.5 9.1 5.2 4.1 2.0 4.1 ― 0.8 9.8

Worker (child 1 yr and under) 68 49.1 40.8 21 .9 16 .3 15.0 13.8 13.5 14.7 19.6 9.9 6 .0 6.4 8.0 10.4 10.6 10.5 5.6 6.1 4.8 4.8 3.2 1.7 7.7

Worker (married, no children) 515 45.6 42.2 25.7 20.8 17.2 14.7 18.7 13.5 15.0 10.7 11.8 7.0 10.1 6.5 10.1 8.2 6.5 5.5 2.6 3.6 ― 1.3 9.6

Worker (unmarried) 692 38.5 33 .5 24.5 21.8 12 .5 12 .0 15.5 14.0 13.5 9.6 10.6 7.6 10.8 6.9 7.9 8.1 10.4 3.6 4.9 1.6 0.8 1.9 9.6

Unmarried male 315 32 .9 28 .4 28.2 11 .3 7 .8 9 .5 12 .4 11.9 9 .8 9.0 7.6 7.6 12.0 7.2 6.7 7.9 9.7 4.6 6.2 2.5 0.6 1.3 10.0

Unmarried female 20s/30s 327 43.2 35.5 19 .5 29.3 13 .5 10 .1 17.5 13.7 17.8 7 .7 11.4 5 .3 10.8 6.7 9.4 7.7 12.1 5.0 5.4 2.3 1.0 1.3 8.7

Unmarried female 40s and over 128 41.4 40.5 24.3 26.1 18.0 23.4 16.2 18.0 18.0 12.6 18.0 13.5 9.9 9.0 7.2 9.9 10.8 2.7 1.8 ― 0.9 3.6 9.0

Student 82 38.6 33 .3 17 .3 17.3 6 .7 12 .0 13.3 10 .7 22.6 4 .0 13.3 8.0 14.7 10.7 8.0 8.0 14.7 12.0 6.7 5.3 1.3 ― 6.7

Light 415 40.4 35.0 28.1 20.1 14.4 14.3 12 .4 16.8 18.1 12.4 8.1 7.2 9.7 7.4 11.4 8.9 8.5 5.8 4.2 5.0 1.0 ― 11.3

Middle 652 47.8 42.4 26.4 21.8 17.8 16.5 18.5 16.4 17.1 12.7 10.3 7.7 9.2 8.3 9.4 8.3 9.0 5.4 4.0 2.2 0.3 1.8 5.3

Heavy 1,276 41.7 39.2 28.3 21.4 21.3 20.5 18.6 15.0 12.6 15.1 14.4 12.6 10.9 11.1 8.8 9.8 8.6 4.6 4.0 3.1 1.4 2.4 8.2



† "*":No applicable data

Number of

trips taken

Area of

residence

Sex & age

Sex

Life

stage

0

10

20

30

40

50

2017 survey total

2016 survey total

2015 survey total

（％）



Sample

Internet

accessed by

PC

Travel agency

pamphlets

Internet

accessed by

smartphone/ta

blet, etc.

Travel agency

counters

Information

magazines

sent from

travel agents

and airlines

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

Free flyers and

flyers in

newspapers

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.)

Overseas

travel

magazines

other than

guidebook-

style

magazines

TV programs

and

commercials

Seikyo

pamphlets and

counters

Transportation

ads on trains

and at stations

Other

Don't know or

don't

remember

2017 survey total 2,343 41.0 17.1 9.3 8.8 7.0 3.5 2.6 1.9 1.0 0.7 0.6 0.5 0.3 0.3 0.2 0.2 0.2 0.1 1.0 3.7

2016 survey total 2,284 42.7 20.1 7.0 8.6 8.4 2.8 2.4 1.3 1.0 0.4 0.4 0.5 0.4 0.2 ― 0.2 0.2 0.1 0.6 2.8

2015 survey total 2,405 44.4 20.0 5.0 9.8 7.5 3.4 2.1 1.1 0.5 0.6 0.2 0.4 0.2 0.2 0.3 0.3 ― 0.1 0.9 3.0

Male 1,114 46.8 15.0 6.1 7.8 6.9 3.7 2.6 1.2 1.5 0.7 0.7 0.6 0.6 0.4 0.2 0.2 ― 0.1 0.9 3.9

Female 1,229 35 .7 19.0 12.1 9.8 7.1 3.3 2.6 2.5 0.6 0.6 0.5 0.4 ― 0.3 0.1 0.3 0.4 0.1 1.1 3.5

Male 18-29 yrs 149 34 .3 11 .2 13.4 16.4 1 .5 0.7 1.5 3.7 2.2 0.7 0.7 2.2 1.5 1.5 0.7 ― ― ― 1.5 6.0

Male 30-39 yrs 241 50.9 13.9 10.3 9.9 1 .1 1.5 0.7 1.1 0.4 0.7 0.7 1.1 ― ― 0.4 ― ― ― 1.1 6.2

Male 40-49 yrs 278 55.8 14.0 5.4 6.6 4.5 2.1 1.8 0.9 1.5 0.3 1.2 ― 0.9 0.3 ― ― ― 0.3 0.3 4.2

Male 50-59 yrs 176 53.4 18.6 4.7 3 .8 4.2 3.0 2.1 ― 3.0 1.7 0.8 ― 1.3 0.4 0.4 0.4 ― ― 0.4 1.7

Male 60 yrs or older 270 36.5 16.9 ― 5.1 19.2 9.4 5.9 1.2 1.2 0.4 ― 0.4 ― 0.4 ― 0.4 ― ― 1.2 2.0

Female 18-29 yrs 317 26 .1 15.1 24.1 18.2 1 .4 ― 0.7 1.4 0.3 1.0 0.7 ― ― 0.3 0.3 ― 1.4 0.3 1.4 7.2

Female 30-39 yrs 229 37.1 19.5 16.1 13.7 1 .0 1.0 1.0 1.5 0.5 1.0 1.0 0.5 ― 1.0 ― 0.5 ― ― 1.0 3.9

Female 40-49 yrs 215 52.9 17.6 8.0 3 .7 4.8 2.1 1.6 2.7 1.6 ― ― 1.1 ― ― ― 0.5 0.5 ― 1.1 1.6

Female 50-59 yrs 203 43.7 18.4 5.7 6.3 7.5 5.7 4.0 3.4 0.6 0.6 ― ― ― ― ― ― ― ― 1.7 2.3

Female 60 yrs or older 264 25 .8 24.9 2 .6 3.9 21.0 8.3 6.1 3.9 ― 0.4 0.4 0.4 ― ― ― 0.4 ― ― 0.4 1.3

Kanto 1,414 44.1 15.3 9.5 8.2 6.3 3.7 2.6 2.0 0.9 0.6 0.5 0.7 0.3 0.4 0.2 0.2 0.2 ― 1.1 3.4

Kansai 574 34 .8 20.7 9.6 9.4 8.9 3.3 2.3 1.6 1.0 0.3 1.0 0.2 0.3 0.2 0.2 0.5 0.4 0.3 0.7 4.2

Tokai 355 38.8 18.7 7.8 10.4 6.7 2.8 2.9 2.2 1.5 1.3 0.2 0.2 0.2 0.5 ― ― 0.3 ― 1.1 4.3

Worker (child 7 yrs and over) 886 40.1 19.2 4 .0 5.5 12.2 6.7 3.8 2.2 0.8 0.7 0.4 0.5 0.4 0.2 ― 0.2 ― 0.1 0.6 2.3

Worker (child 2-6 yrs) 99 49.8 13.9 13.0 8.0 2.6 2.6 2.0 1.1 ― 1.8 0.9 1.1 1.1 ― ― ― ― ― ― 2.0

Worker (child 1 yr and under) 68 28 .0 20.9 22.5 12.5 3.3 ― 1.6 ― 4.5 ― ― ― ― ― ― ― ― ― 1.6 4.8

Worker (married, no children) 515 39.8 19.3 6.9 14.7 4.9 2.0 2.2 0.8 0.8 0.4 0.6 0.2 ― 0.4 0.1 0.4 0.2 ― 1.8 4.3

Worker (unmarried) 692 44.3 12.9 15.2 8.3 3.6 1.2 1.4 2.5 1.3 0.8 0.8 0.5 0.4 0.4 0.4 0.2 0.2 ― 1.1 4.5

Unmarried male 315 53.9 10 .4 9.2 6.3 2.1 1.4 1.7 2.9 1.5 0.4 1.1 1.3 0.9 0.6 0.6 ― ― ― 0.6 5.0

Unmarried female 20s/30s 327 31 .6 14.1 23.4 13.4 1 .7 0.7 1.0 2.0 0.7 1.0 0.7 ― ― 0.7 0.3 0.3 1.0 0.3 0.7 6.4

Unmarried female 40s and over 128 44.1 18.9 9.0 0 .9 9.9 1.8 2.7 3.6 1.8 0.9 ― 0.9 ― ― ― ― 0.9 ― 2.7 1.8

Student 82 29 .4 17.3 14.6 10.7 1 .3 1.4 2.7 4.0 ― ― ― 2.7 ― 1.3 ― ― 4.0 1.3 ― 9.3

Light 415 31 .2 19.3 10.2 16.3 2.5 1.9 0.7 3.3 0.7 1.0 0.7 1.0 0.9 0.8 0.3 0.3 0.8 0.2 1.0 7.0

Middle 652 38.5 18.1 12.5 12.7 4.0 3.7 1.1 1.3 0.9 0.8 0.4 0.3 0.4 0.3 0.3 ― 0.2 0.2 0.8 3.5

Heavy 1,276 45.4 15.9 7.3 4.5 10.0 3.9 4.0 1.7 1.2 0.5 0.6 0.4 0.1 0.2 0.1 0.3 0.1 ― 1.1 2.7



Number of

trips taken

Area of

residence

Sex & age

Sex

Life

stage

0

10

20

30

40

50

2017 survey total

2016 survey total

2015 survey total

（％）

54

■Source of information from which package tour was found (Package tour users involved in the consideration of trip/Single answer)

3. Source of Information from Which Package Tour was Found



55

■Points considered important when selecting package (Package tour users involved in the consideration of trip/Multiple answers)

4. Points Considered Important Factors When Selecting Package

Items considered important

2017 survey by number of trips

Light Middle Heavy

(n=2,343) (n=2,284) (n=415) (n=652) (n=1,276)

Price is cheap for the content 47.4 46.9 40.4 48.2 49.3

Cheap 24.6 22.8 23.6 28.3 23.1

Can pay by credit card 19.1 19.7 15.0 15.1 22.4

Includes spots I want to go to 16.5 19.2 12.2 13.8 19.4

Content/Breakdown of the price indicated is clear 15.5 18.4 11.6 17.3 15.8

There is a lot of free time 14.2 14.2 11.6 16.2 14.1

Can visit many tourist spots 8.8 10.3 7.9 8.9 9.1

There is city sightseeing 8.4 11.0 7.1 7.8 9.1

Discounts are available for early reservations 8.0 7.5 9.3 9.7 6.8

Time stayed at destination is long 6.5 7.4 4.0 7.4 6.8

There is no city sightseeing 3.0 2.5 1.6 3.0 3.4

Discounts are available for children 1.8 1.4 1.4 2.2 1.7

It is an assuring airline 27.4 28.6 24.8 27.9 27.9

There are direct flights 17.1 17.1 12.6 18.3 17.9

It is a Japanese airline 9.4 9.6 7.9 9.2 10.1

It is a well-known airline 9.2 11.6 9.8 9.4 8.9

Is a flight that meets my schedule and connecting flights 6.8 7.8 6.2 8.3 6.3

Departs from nearest airport 6.0 7.1 6.0 6.3 5.8

Premium economy or business class or better 3.6 4.1 0.9 1.6 5.5

Aircraft amenities (width of seats, etc.) are good 3.1 3.6 2.7 1.8 4.0

Aircraft equipment is good (new, clean) 2.9 3.2 1.9 1.3 4.1

I accrue miles / the additional terms are good for the airline I use or an affiliated airline 2.4 3.1 0.9 1.5 3.3

Is a Low-Cost Carrier 1.5 1.3 1.2 2.5 1.1

Is not a Low-Cost Carrier 0.9 1.5 0.5 0.8 1.1

Hotel grade is high / well known 15.2 17.2 13.9 14.4 16.0

Hotel is designated 12.7 12.2 9.6 10.1 15.0

Tourist spots are close to accommodations 11.4 11.0 9.5 14.8 10.2

Transportation is provided to and from hotel 8.2 9.2 10.3 9.9 6.6

There is Japanese staff or Japanese is spoken 8.2 7.8 11.5 9.6 6.5

Hotel room seems clean 6.9 7.2 5.9 8.5 6.4

Is a hotel with sense of luxury 6.2 6.5 3.6 6.3 7.0

Closest station, bus stop or metro is close to accommodations 5.8 6.1 2.2 7.4 6.2

Scenery around the accommodations is nice 5.2 5.2 7.0 4.5 5.0

Has Internet access 4.2 4.1 4.3 4.2 4.2

Has a quiet and subdued ambiance 3.9 4.1 3.2 2.3 5.0

Room is spacious 3.8 3.7 2.8 2.8 4.7

Hotel offers a wide array of facilities such as a spa, pool, gym, etc. 3.7 4.1 3.1 3.7 3.8

Desired bath/toilet is provided 3.7 3.5 2.6 3.5 4.2

View from room 3.5 3.4 2.9 3.0 3.9

Airport is close to accommodations 2.5 3.3 2.7 2.3 2.6

Hotel food is sumptuous 2.4 2.4 2.9 1.4 2.7

Desired bedding is provided 2.4 2.3 2.3 1.6 2.8

Hotel offers a wide array of amenities 2.2 3.3 1.4 1.9 2.5

Has local color/flavor 1.6 2.0 1.4 1.8 1.6

I like the interior décor of the hotel room 1.5 1.2 0.9 0.4 2.2

Is barrier free 0.8 0.4 0.2 0.3 1.2

Early check-in / late check-out is available 0.8 0.8 0.5 0.5 1.2

Travel agency is very reliable 29.0 33.3 24.1 27.5 31.4

Comes with guide 14.4 16.8 10.2 12.3 16.8

Travel agency response is thorough 10.7 12.8 10.8 10.3 10.9

Travel agency has good ability to arrange and do good work 9.6 10.2 7.3 8.1 11.1

Travel agency is familiar 9.5 10.2 4.6 8.8 11.5

There are local staff who speak Japanese 9.1 9.7 13.3 10.5 7.0

Travel agency is well known 8.5 12.3 7.7 9.3 8.4

The travel agent is highly specialized (has a wealth of travel information/knowledge) 5.6 5.9 3.3 5.4 6.4

There is a backup desk at destinations 4.5 4.1 5.1 4.8 4.2

Travel agency is in a location easy to visit 3.0 3.2 4.4 3.1 2.5

There are benefits for tour participants that are unique to the travel agency 2.4 2.0 2.0 1.8 2.8

Local transportation provided 16.0 17.2 14.8 15.0 16.8

All breakfasts provided 9.9 10.0 8.0 8.1 11.3

All meals provided 8.2 9.5 3.2 5.8 11.0

Comes with famous dishes 6.1 7.8 3.6 4.9 7.5

Can make reservations right away 4.4 4.4 3.0 3.2 5.5

Possible to participate alone 3.7 3.8 2.0 2.5 4.8

Can increase or decrease the number of nights 1.3 1.3 0.2 1.4 1.6

Local transportation not provided 1.2 0.9 - 2.3 1.0

Other 1.3 1.7 0.5 1.4 1.5

Nothing in particular 5.3 4.8 10.0 4.0 4.4

Oth

er

Accom

moda

tions

Airlin

e a

nd

airp

ort

Tra

vel a

gency

Budg

et

and

conte

nt

2017

survey

2016

survey

0 10 20 30 40 50

2017 survey


2016 survey


（％）



56

■Means of inquiry (Those involved in considering travel plans/Multiple answers)

5. Means of Inquiring to Travel Agencies and Airlines

Sample

Web VisitingBy

telephoneBy fax Other

Haven't

really

inquired

Don't know

or don't

remember

2017 survey total 4,069 67.7 16.5 15.4 0.7 1.3 9.5 2.2

2016 survey total 3,979 66.6 17.2 18.0 0.7 1.3 8.9 2.0

Male 2,113 71.8 15.1 14.4 1.0 1.1 7.8 1.9

Female 1,957 63.2 18.0 16.5 0.3 1.5 11.2 2.4

Male 18-29 yrs 280 58 .7 21.8 16.3 1.2 1.2 9.1 5.2

Male 30-39 yrs 417 68.1 20.5 14.0 0.8 1.3 9.3 2.3

Male 40-49 yrs 546 72.6 13.5 12.6 1.2 0.3 9.1 1.7

Male 50-59 yrs 395 76.9 10 .6 14.9 0.6 1.3 6.6 1.3

Male 60 yrs or older 474 77.7 12.1 15.4 1.3 1.8 5.4 0.4

Female 18-29 yrs 468 53 .7 27.0 13.3 0.5 0.7 13.0 5.6

Female 30-39 yrs 412 64.7 19.0 14.1 0.5 1.6 13.0 2.2

Female 40-49 yrs 397 69.6 13.0 15.7 0.3 1.4 11.0 1.4

Female 50-59 yrs 322 69.6 13.4 14.9 ― 2.5 9.1 1.4

Female 60 yrs or older 357 61 .3 14.8 25.8 ― 1.6 9.0 0.6

Kanto 2,501 70.7 14.1 15.0 0.6 1.1 9.1 2.1

Kansai 983 62 .7 20.5 15.4 0.7 1.6 10.0 2.3

Tokai 585 63.3 20.2 17.4 1.2 2.0 10.2 2.4

Worker (child 7 yrs and over) 1,428 70.1 15.0 16.8 0.8 1.7 7.8 1.0

Worker (child 2-6 yrs) 185 68.5 16.0 22.1 3.2 1.9 8.4 2.1

Worker (child 1 yr and under) 116 54 .3 27.4 22.4 ― 3.6 7.2 2.3

Worker (married, no children) 858 64.5 20.5 15.8 0.3 1.5 9.2 2.3

Worker (unmarried) 1,329 69.9 13.8 12.2 0.4 0.6 11.5 2.7

Unmarried male 701 73.9 12.1 12.3 0.7 0.6 9.1 3.0

Unmarried female 20s/30s 541 60 .6 19.9 10.6 0.4 0.6 14.6 4.7

Unmarried female 40s and over 234 68.3 11.9 17.8 ― 1.0 12.4 0.5

Student 153 53 .5 24.3 15.1 0.7 0.7 12.2 7.9

Light 594 50 .1 28.4 16.2 1.6 1.0 11.3 6.1

Middle 979 62 .6 22.3 14.7 0.4 1.0 10.0 2.6

Heavy 2,496 73.9 11 .4 15.5 0.6 1.5 8.8 1.1



† "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

2017 survey total

2016 survey total

（％）



57

■Means of booking (Those involved in considering travel plans/Multiple answers)

6. Means of Booking with Travel Agencies and Airlines

Sample

Web VisitingBy

telephoneBy fax Other

Have not

made

reservations

Don't know/

Don't

remember

2017 survey total 4,069 70.7 18.4 10.3 0.6 2.2 2.1 2.5

2016 survey total 3,979 69.3 18.9 12.3 0.7 2.4 1.1 2.4

Male 2,113 73.7 16.8 10.0 0.7 2.1 1.8 2.2

Female 1,957 67.4 20.1 10.6 0.5 2.4 2.4 2.8

Male 18-29 yrs 280 60 .3 24.6 8.3 0.4 2.0 3.2 6.7

Male 30-39 yrs 417 71.9 20.7 9.1 1.1 2.5 1.5 2.7

Male 40-49 yrs 546 76.6 15.7 8.8 0.5 0.6 1.4 1.8

Male 50-59 yrs 395 78.8 13 .4 10.8 0.4 1.9 1.7 1.1

Male 60 yrs or older 474 75.7 12 .9 12.3 0.9 3.6 1.8 0.2

Female 18-29 yrs 468 55 .6 29.8 7.9 0.7 2.3 2.6 6.5

Female 30-39 yrs 412 70.7 21.2 7.3 0.5 3.0 2.7 1.4

Female 40-49 yrs 397 75.1 14.8 9.6 0.6 0.9 2.9 1.7

Female 50-59 yrs 322 73.9 14.9 10.9 ― 2.5 2.9 2.2

Female 60 yrs or older 357 64 .5 17.1 19.0 0.6 3.5 0.6 1.6

Kanto 2,501 73.8 15.8 10.5 0.5 2.0 1.9 2.5

Kansai 983 66.5 23.1 9.5 0.8 2.2 1.8 2.3

Tokai 585 64 .3 21.5 10.7 0.7 3.5 3.0 2.9

Worker (child 7 yrs and over) 1,428 72.5 16.1 11.7 0.9 2.4 1.7 1.3

Worker (child 2-6 yrs) 185 75.0 17.0 15.5 2.5 1.9 2.6 1.5

Worker (child 1 yr and under) 116 55 .1 28.9 14.2 ― 2.9 1.9 4.2

Worker (married, no children) 858 65 .7 23.8 10.7 0.4 2.5 1.5 2.6

Worker (unmarried) 1,329 74.2 15.5 7.4 0.2 2.0 2.7 2.9

Unmarried male 701 77.5 13.5 7.8 0.3 1.4 1.8 3.6

Unmarried female 20s/30s 541 65 .7 22.5 6.1 0.2 2.0 3.1 4.6

Unmarried female 40s and over 234 72.8 13.9 11.4 ― 3.5 4.5 1.0

Student 153 57 .1 28.6 10.0 ― 1.4 2.2 9.3

Light 594 49 .0 32.5 10.8 0.9 2.8 4.1 6.4

Middle 979 65 .3 24.0 8.9 0.4 2.1 2.4 2.9

Heavy 2,496 77.9 12 .9 10.7 0.6 2.2 1.4 1.4



† "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

Area of

residence

Sex & age

Sex

Life

stage

0

25

50

75

2017 survey total

2016 survey total

（％）

59

Chapter 4

Process of Arranged Travel Selection


Part 1 Trends in Overseas Travel Booking in 2016 Chapter 4 Process of Arranged Travel Selection

60

1. Matters Arranged Prior to Departure

Sample

Air ticketsHotel

Accommodations

Optional

tour / Local

activities

Car rentals Other

2017 survey total 1,726 92.1 74.3 14.1 8.7 5.5

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

Male 998 92.3 74.6 12.7 9.5 4.2

Female 728 91.9 73.8 16.0 7.5 7.2

Male 18-29 yrs 131 89.0 61 .0 9.3 5.9 0.8

Male 30-39 yrs 176 92.5 76.5 13.5 9.5 2.0

Male 40-49 yrs 268 93.2 77.3 10.9 9.9 1.9

Male 50-59 yrs 219 91.8 75.4 11.6 12.3 5.5

Male 60 yrs or older 204 93.8 77.2 17.6 8.3 9.8

Female 18-29 yrs 151 93.5 64 .7 15.8 2 .9 2.9

Female 30-39 yrs 182 93.9 78.5 13.5 7.4 3.7

Female 40-49 yrs 182 93.0 81.0 17.7 12.7 7.0

Female 50-59 yrs 119 92.2 68 .6 18.6 7.8 13.7

Female 60 yrs or older 93 82 .7 71.6 14.8 4.9 13.6

Kanto 1,087 91.7 73.1 14.8 10.4 6.4

Kansai 409 91.8 77.2 10.4 5.3 4.5

Tokai 230 94.7 74.3 17.5 6.6 3.0

Worker (child 7 yrs and over) 542 90.7 75.3 15.3 10.3 9.5

Worker (child 2-6 yrs) 86 90.0 74.6 16.4 14.8 1.0

Worker (child 1 yr and under) 48 91.2 53 .6 14.4 8.4 2.3

Worker (married, no children) 343 92.9 78.0 17.2 12.3 4.0

Worker (unmarried) 637 93.8 74.7 11.8 4.7 4.3

Unmarried male 386 94.5 73.3 8 .7 5.7 1.7

Unmarried female 20s/30s 214 93.3 70.7 12.9 3 .1 3.1

Unmarried female 40s and over 105 87.9 76.9 18.7 5.5 13.2

Student 71 87.6 58 .0 7 .7 7.3 ―

Light 179 88.5 65 .6 14.3 6.2 2.7

Middle 327 92.6 69.8 11.1 4.7 5.8

Heavy 1,220 92.5 76.7 14.9 10.1 5.8



Sex

Sex & age

Number

of

trips taken

Area of

residence

Life

stage

0

20

40

60

80

100

2017 survey total

2016 survey total

2015 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

Acquaintances

at travel

agencies

Feedback and

introductions

(word-of-

mouth) of

friends,

acquaintances,

family members

Information

magazines sent

from travel

agents and

airlines

Travel agency

pamphletsNewspaper ads

Internet

accessed by

mobile

telephone

(iMode, Ezweb,

Yahoo! Keitai,

etc.)

Guidebook-

style

magazines

such as

"Rurubu

Hawaii," etc.

Articles and

ads in general-

interest

magazines

Seikyo

pamphlets and

counters

Overseas

travel

magazines

other than

guidebook-

style

magazines

Guidebooks

("Chikyuu no

arukikata,"

etc.)

Free flyers and

flyers in

newspapers

Transportation

ads on trains

and at stations

TV programs

and

commercials

Other

I don't really

gather

information

2017 survey total 1,591 74.1 12.6 3.0 1.5 0.8 0.6 0.3 0.2 0.2 0.1 0.1 0.1 0.1 ― ― ― ― ― 1.0 5.4

2016 survey total 1,591 76.2 8.7 4.1 1.9 0.8 0.9 0.1 0.3 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 1.7 1.2 0.3 0.2 0.1 0.1 0.1 0.1 ― 0.1 0.1 0.1 ― ― 1.2 5.2

Male 922 77.1 9.6 2.9 1.6 0.8 0.5 0.4 0.2 0.2 ― ― 0.1 0.1 ― ― ― ― ― 1.0 5.4

Female 669 69.9 16.8 3.0 1.4 0.9 0.7 0.2 0.2 0.2 0.3 0.2 ― 0.2 ― ― ― ― ― 0.9 5.4

Male 18-29 yrs 117 53 .3 23.8 3.8 1.0 1.0 ― ― ― ― ― ― ― ― ― ― ― ― ― 1.0 16.2

Male 30-39 yrs 163 78.9 13.5 1.1 1.1 ― ― ― 0.5 0.5 ― ― ― ― ― ― ― ― ― ― 4.3

Male 40-49 yrs 249 80.7 8.3 3.0 2.0 0.3 0.7 0.3 0.3 0.3 ― ― ― ― ― ― ― ― ― 0.7 3.3

Male 50-59 yrs 201 81.8 6 .7 2.2 1.9 0.7 ― 0.7 ― ― ― ― ― ― ― ― ― ― ― 0.7 5.2

Male 60 yrs or older 192 80.7 2 .2 4.4 1.7 2.2 1.7 0.6 ― ― ― ― 0.6 0.6 ― ― ― ― ― 2.8 2.8

Female 18-29 yrs 141 46 .9 33.8 4.6 0.8 ― ― ― ― ― 1.5 ― ― 0.8 ― ― ― ― ― 0.8 10.8

Female 30-39 yrs 171 68 .6 21.6 0.7 ― 2.0 1.3 ― 0.7 0.7 ― 0.7 ― ― ― ― ― ― ― ― 3.9

Female 40-49 yrs 169 80.3 9.5 1.4 2.0 ― 1.4 ― ― ― ― ― ― ― ― ― ― ― ― 2.0 3.4

Female 50-59 yrs 110 80.9 7 .4 4.3 1.1 2.1 ― 1.1 ― ― ― ― ― ― ― ― ― ― ― ― 3.2

Female 60 yrs or older 77 76.1 4 .5 7.5 4.5 ― ― ― ― ― ― ― ― ― ― ― ― ― ― 1.5 6.0

Kanto 997 76.5 11.3 3.0 1.3 0.8 0.7 0.3 0.3 0.1 0.1 0.1 ― ― ― ― ― ― ― 0.9 4.6

Kansai 376 71.3 16.0 2.5 2.0 0.3 0.5 ― ― ― 0.3 ― 0.3 0.3 ― ― ― ― ― 0.3 6.3

Tokai 218 68 .0 13.0 3.7 1.6 1.9 ― 0.5 ― 0.9 ― ― ― 0.5 ― ― ― ― ― 2.6 7.4

Worker (child 7 yrs and over) 492 79.1 5 .5 4.1 2.4 1.4 0.4 0.6 ― ― ― ― 0.2 0.2 ― ― ― ― ― 1.5 4.5

Worker (child 2-6 yrs) 77 71.2 13.8 2.1 2.6 1.5 1.1 ― ― ― ― ― ― ― ― ― ― ― ― 1.1 6.7

Worker (child 1 yr and under) 44 67 .3 16.2 4.4 ― ― ― ― 2.6 2.6 ― ― ― ― ― ― ― ― ― ― 7.0

Worker (married, no children) 319 78.8 10.1 3.1 1.0 0.7 ― 0.5 0.3 0.3 ― ― ― ― ― ― ― ― ― 0.4 4.9

Worker (unmarried) 598 70.5 18.5 1.9 1.2 0.6 1.1 ― 0.1 0.1 0.2 0.2 ― ― ― ― ― ― ― 0.8 4.8

Unmarried male 365 75.2 13.3 1.8 1.7 0.6 0.5 ― 0.2 0.2 ― ― ― ― ― ― ― ― ― 1.0 5.4

Unmarried female 20s/30s 199 53 .2 33.6 1.6 0.5 ― 1.1 ― ― ― 1.1 0.6 ― 0.5 ― ― ― ― ― 0.5 7.1

Unmarried female 40s and over 93 76.3 8.7 3.8 ― 1.3 2.5 ― ― ― ― ― ― ― ― ― ― ― ― 1.2 6.2

Student 62 52 .2 21.2 3.5 ― ― ― ― ― ― 1.8 ― ― 1.8 ― ― ― ― ― 1.8 17.7

Light 159 62 .0 16.5 4.7 0.5 0.5 ― ― 0.7 1.3 0.7 0.7 0.7 0.7 ― ― ― ― ― 0.7 10.4

Middle 303 71.3 15.6 3.2 1.3 0.9 1.4 0.5 ― ― 0.4 ― ― ― ― ― ― ― ― ― 5.4

Heavy 1,129 76.5 11.3 2.6 1.7 0.9 0.4 0.3 0.2 0.1 ― ― ― 0.1 ― ― ― ― ― 1.3 4.7



Number

of

trips taken

Area of

residence

Sex & age

Sex

Life

stage

0

15

30

45

60

75

90

2017 survey total

2016 survey total

2015 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)



62

3. Key Factors When Choosing Airlines

Sample

It is

an a

ssuring

airlin

e

The flig

ht

suits

my

schedu

le

There

are

direct

fligh

ts

It is

a J

apan

ese

airlin

e

It is

a w

ell-

know

n t

rave

l age

ncy

Price w

as c

heap

er

than

oth

er

ticke

ts

for

the s

ame c

ondi

tions

Eas

y to

use

accum

ula

ted

mile

s

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

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

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

Ext

ensi

ve in

-fli

ght

ente

rtai

nm

ent

is

avai

labl

e

Aircra

ft e

quip

ment

is g

ood

(new

, cle

an)

Can

buy

thro

ugh

a m

eth

od

I am

accust

om

ed

to

Is b

usi

ness

cla

ss o

r hig

her

Full

lineup

of in

-fli

ght

food

is o

ffere

d

Aircra

ft a

menitie

s (w

idth

of se

ats,

etc

.)

are g

ood

Price w

as c

heap

er

than

oth

er

ticke

ts

but

the c

ondi

tions

were

not

the s

ame

There

are

cab

in c

rew

who s

peak

Jap

anese

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

2017 survey total 1,591 38.6 33.4 32.3 14.2 13.1 12.9 11.9 11.3 10.3 10.2 7.2 7.0 6.3 6.2 5.8 5.6 5.0 4.9 4.8 4.8 4.7 4.6 3.5 2.6 2.1 1.6 0.7 3.1 4.3 3.6

2016 survey total 1,591 41.1 31.5 31.7 16.0 15.8 12.7 14.7 11.3 10.8 9.8 7.0 8.8 8.1 7.3 5.4 6.6 4.5 5.1 7.2 5.4 4.4 5.3 3.3 2.8 2.4 1.9 0.7 2.7 4.2 3.2

2015 survey total 1,663 38.0 36.2 37.3 16.3 16.5 13.9 13.2 14.5 9.8 10.4 5.9 8.7 8.5 6.4 5.8 6.3 4.9 5.6 6.1 5.0 4.1 5.1 4.0 2.5 3.4 * 0.7 2.2 3.3 3.7

Male 922 ①39.0 ③27 .5 ②31.0 ④15.9 ⑤14.6 12.4 12.8 11.2 9.1 10.8 7.0 6.8 6.3 7.0 6.0 6.4 4.1 5.3 4.6 4.7 4.0 4.8 3.8 2.6 2.0 2.0 0.6 3.3 4.7 3.2

Female 669 ②38.1 ①41.4 ③34.0 11.9 11.1 ④13.7 10.6 11.5 ⑤12.0 9.2 7.4 7.3 6.3 5.1 5.5 4.5 6.3 4.3 5.1 5.0 5.8 4.4 3.1 2.7 2.2 1.0 1.0 2.7 3.9 4.1

Male 18-29 yrs 117 ①34.3 ③22 .9 ②25 .7 ⑤14.3 12.4 7 .6 4 .8 9.5 6.7 ④16.2 2.9 7.6 2.9 3.8 3.8 3.8 3.8 1.9 4.8 1.9 4.8 3.8 1.9 1.9 3.8 2.9 1.0 1.0 8.6 7.6

Male 30-39 yrs 163 ①41.1 ③26 .5 ②29.7 10.8 ⑤13.0 9.7 12.4 11.4 9.7 ④14.6 7.6 7.0 2.2 3.2 5.4 3.8 2.2 3.2 2.7 3.2 4.9 4.3 1.1 0.5 2.7 0.5 0.5 3.2 3.8 3.8

Male 40-49 yrs 249 ①36.7 ③29.3 ②31.0 ⑤14.0 13.7 ④15.0 12.7 10.3 8.3 10.0 6.7 6.7 4.0 5.3 6.0 5.3 4.0 4.3 4.7 3.3 4.3 2.0 1.7 1.7 1.7 1.7 ― 2.7 4.0 3.0

Male 50-59 yrs 201 ①42.8 ③28 .3 ②31.6 ④19.3 ⑤17.8 12.3 ⑤17.8 11.2 7.1 7.1 6.7 4.8 10.4 7.8 7.8 7.8 4.5 7.8 5.6 6.7 3.0 6.3 5.6 3.3 ― 2.2 ― 3.0 2.6 3.3

Male 60 yrs or older 192 ①39.2 ③28 .2 ②34.8 ④19.9 ⑤14.9 14.4 12.7 13.3 13.3 9.4 9.9 8.3 10.5 13.3 6.1 9.9 5.5 7.7 5.0 7.2 3.3 7.7 8.3 5.0 2.8 2.8 1.7 6.1 6.1 ―

Female 18-29 yrs 141 ①41.5 ②29.2 ③27.7 6 .9 ④15.4 ④15.4 4 .6 3 .8 13.1 14.6 3.1 4.6 3.8 4.6 3.8 1.5 3.8 0.8 3.1 2.3 2.3 2.3 1.5 1.5 1.5 2.3 2.3 0.8 4.6 10.0

Female 30-39 yrs 171 ②29 .4 ①47.7 ③27.5 7 .8 7 .8 ⑤15.0 5 .9 9.8 ④16.3 9.2 3.9 8.5 4.6 2.0 3.9 2.0 4.6 1.3 1.3 3.3 9.2 2.6 0.7 0.7 1.3 0.7 0.7 2.6 5.9 4.6

Female 40-49 yrs 169 ②40.8 ①44.9 ③40.1 ④17.0 10.2 12.9 ⑤16.3 10.2 8.2 8.2 8.2 4.8 3.4 5.4 5.4 4.8 2.0 5.4 4.8 4.8 4.1 1.4 2.7 3.4 2.7 ― ― 2.7 2.7 2.0

Female 50-59 yrs 110 ③39.4 ①47.9 ②40.4 ④17.0 9.6 ④17.0 11.7 ④17.0 8.5 6.4 16.0 10.6 12.8 8.5 7.4 6.4 10.6 7.4 8.5 5.3 6.4 7.4 5.3 3.2 4.3 2.1 2.1 4.3 2.1 1.1

Female 60 yrs or older 77 ①43.3 ③32.8 ②37.3 11.9 14.9 4 .5 ⑤17.9 ④23.9 13.4 6.0 9.0 10.4 11.9 7.5 9.0 11.9 ⑤17.9 10.4 13.4 13.4 7.5 14.9 9.0 7.5 1.5 ― ― 4.5 3.0 1.5

Kanto 997 ①39.7 ②33.9 ③33.8 ④15.5 12.3 13.1 ⑤13.8 13.3 9.5 8.3 8.5 6.5 7.1 5.9 7.1 6.9 4.6 5.3 4.9 6.2 4.6 4.5 4.2 3.3 2.3 1.6 0.7 3.9 3.9 3.3

Kansai 376 ①36.9 ③33.0 ②33.4 11.9 ④15.5 11.8 8.5 6.4 9.6 ⑤14.9 4.6 8.0 4.0 7.3 3.0 2.8 6.3 4.7 5.1 2.1 4.3 4.8 2.8 1.3 1.7 1.7 0.3 1.6 4.6 4.0

Tokai 218 ①36.6 ②31.6 ③23 .5 12.3 12.8 ⑤14.1 8.8 10.6 ④15.0 10.7 5.5 7.6 6.5 5.4 4.7 4.2 4.5 3.0 4.0 2.9 5.9 4.8 1.5 1.9 1.8 1.3 1.6 1.7 5.6 4.0

Worker (child 7 yrs and over) 492 ①40.5 ③30.2 ②35.5 ④18.0 ⑤14.6 11.9 12.5 13.1 9.7 8.9 9.3 7.3 8.0 9.4 6.3 6.7 6.3 5.6 5.5 5.7 4.8 7.3 5.8 3.7 1.5 1.1 0.9 3.2 5.0 2.5

Worker (child 2-6 yrs) 77 ①37.8 ②35.3 ③30.3 15.2 6 .9 14.7 ④19.5 ⑤15.3 9.8 6.7 6.7 6.0 3.5 2.6 3.5 2.1 5.4 2.3 ― 1.0 6.0 4.5 2.0 ― 1.1 2.0 ― 2.6 2.2 2.2

Worker (child 1 yr and under) 44 ①44.3 ③31.7 ②37.1 6 .6 ④18.0 ⑤11.6 6 .3 4 .6 9.7 4 .1 2.6 5.1 ― 2.5 2.0 ― 2.6 ― ― 2.6 ― ― 2.6 ― 4.6 ― ― 2.6 7.5 12.0

Worker (married, no children) 319 ①40.3 ②37.0 ③30.0 11.5 10.0 ④15.5 ⑤12.6 12.0 10.3 10.2 8.8 6.5 5.5 5.4 6.2 6.6 4.5 7.0 5.3 6.3 4.8 3.3 2.5 3.4 2.7 1.4 1.0 2.4 2.8 2.8

Worker (unmarried) 598 ①36.2 ②35.4 ③32.2 ⑤13.5 ④13.7 12.4 10.9 10.0 10.8 11.6 5.5 7.5 6.4 4.7 5.8 5.5 4.6 4.3 4.9 4.4 5.0 4.0 2.6 1.9 2.0 2.1 0.7 3.7 4.2 3.9

Unmarried male 365 ①38.0 ③29.5 ②30.2 ⑤15.0 ④15.2 11.0 11.2 12.1 9.3 12.3 5.9 7.7 7.1 6.5 6.3 6.8 4.7 5.2 5.9 5.0 4.8 5.0 3.6 2.6 3.0 2.5 0.5 4.3 4.3 3.1

Unmarried female 20s/30s 199 ②33.7 ①35.5 ③25 .4 8 .9 13.2 ⑤13.8 5 .0 5 .0 ④15.5 13.2 2 .2 7.8 4.4 3.9 3.9 1.1 5.0 0.5 2.2 1.7 5.6 1.7 1.1 1.1 1.7 1.1 0.5 1.7 5.0 8.8

Unmarried female 40s and over 93 ③33.7 ①48.8 ②46.3 ⑤15.0 10.0 ⑤15.0 ④20.0 10.0 7.5 7.5 8.8 5.0 6.3 ― 7.5 6.3 2.5 6.3 7.5 5.0 3.8 2.5 1.2 1.2 ― 2.5 1.3 3.7 3.8 ―

Student 62 ①36.3 ②19 .4 ③17 .7 8 .9 ④15.6 12.4 7.1 5 .4 12.4 ⑤14.1 1 .8 5.3 3.5 5.3 5.3 ― 3.5 ― 5.3 ― 3.5 ― 1.8 1.8 3.5 1.8 ― ― 8.9 8.8

Light 159 ①41.3 ③18 .2 ②24 .3 12.0 ④17.3 7 .9 4 .2 7.0 8.1 ⑤12.4 1 .8 4.4 3.5 5.7 4.5 1.4 2.1 0.6 2.5 1.2 3.3 4.6 1.4 0.7 2.0 2.3 ― 1.9 7.3 12.0

Middle 303 ①40.6 ②35.4 ③31.8 ⑤14.4 ⑤14.4 8.9 8.5 8.3 10.1 ④15.5 4.0 7.8 3.3 3.1 4.2 3.6 4.6 0.3 2.8 2.9 5.3 4.8 2.3 1.3 2.1 0.6 1.5 1.8 5.9 3.9

Heavy 1,129 ①37.7 ②35.0 ③33.5 ⑤14.5 12.2 ④14.7 13.8 12.7 10.7 8.4 8.8 7.2 7.5 7.1 6.4 6.7 5.5 6.7 5.7 5.8 4.8 4.6 4.1 3.3 2.1 1.7 0.7 3.6 3.5 2.3



† 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 (2015), the answer "Not a low cost carrier" was indicated as the answer "Not a low cost carrier (in kanji rather than katakana) (LCC stands for low cost carrier)"

and the answer "Is a low cost carrier" was indicated as the answer "Is a low cost carrier (in kanji rather than katakana) (LCC stands for low cost carrier)."

Number

of

trips taken

Life

stage

Sex

Area of

residence

Sex & age

0

10

20

30

40

50

2017 survey total

2016 survey total

2015 survey total

（％）

■Key factors when choosing airlines

(Those who arranged air tickets in advance and were involved in consideration of the travel plans/Multiple answers)

63

Part 2

Satisfaction with Travel Destinations



64

1. Satisfaction with Travel Destinations1) Overall

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

2017 survey total (n=4,986) 90.9

2016 survey total (n=4,802) 91.0

UK (n=114) 92.4

France (n=119) 89.2

Germany (n=97) 95.5

Spain (n=83) 89.5

Italy (n=167) 95.0

Other countries in western Europe (n=132) 97.7

Other places in Europe (n=145) 94.8

Other Middle East or Africa (n=62) 89.3

USA east (n=135) 93.0

USA west (n=164) 95.8

USA south (n=45) 94.9

Canada or

AlaskaCanada (n=84) 92.6

Central/SouthAmericaorCaribbean (n=60) 93.4

Hawaii (Oahu) (n=510) 95.5

Hawaii (other than Oahu) (n=119) 93.5

Guam (n=237) 90.1

Saipan (n=24) 79.8

South Pacific islands or other islands (n=75) 95.6

Shanghai (n=94) 78.0

Beijing (n=19) 84.1

Other China (exc. Hong Kong / Macau) (n=58) 86.6

Hong Kong (n=169) 86.7

Macau (n=35) 76.1

Taiwan (n=690) 90.0

Korea (n=445) 89.8

Singapore (n=172) 89.9

Phuket (n=24) 83.4

Thai beaches (other than Phuket) (n=28) 88.9

Bangkok or other Thai cities (n=198) 92.6

Bali (n=67) 86.6

Malaysia (n=52) 80.6

Philippines (n=114) 83.9

Vietnam (n=132) 85.4

Cambodia (n=30) 89.8

Other places in Asia (n=74) 90.5

Australia (n=149) 92.4

New Zealand or other Oceania (n=47) 87.4

Long distance/total (n=1,426) 93.6

Medium distance/total (n=1,677) 91.7

Short distance/total (n=1,883) 88.2

† "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 2016, 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.

Euro

pe

Middle East

or Africa

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)

76.0％

76.8

80.9

78.7

81.4

78.5

82.9

86.1

79.5

72.4

77.6

87.7

94.9

84.3

81.3

87.8

82.6

75.2

74.9

83.7

51.5

63.5

56.8

62.1

66.5

73.7

67.7

75.8

69.9

64.4

78.3

77.2

71.0

57.9

62.9

60.7

66.1

82.4

80.1

81.9

79.1

68.6

15.0

14.2

11.5

10.6

14.1

11.0

12.0

11.6

15.3

16.9

15.4

8.1

-

8.3

12.1

7.7

11.0

14.9

4.8

11.9

26.5

20.6

29.8

24.6

9.6

16.3

22.1

14.1

13.5

24.5

14.3

9.4

9.6

25.9

22.5

29.1

24.4

10.0

7.3

11.7

12.6

19.5

2.9

2.1

3.1

3.6

0.9

2.8

-

0.9

0.5

2.9

2.5

2.5

2.6

1.4

1.4

0.4

-

2.5

4.8

-

8.9

11.3

8.2

3.8

9.0

3.0

5.2

4.3

3.5

7.0

4.2

3.4

2.2

4.1

5.0

2.5

6.9

1.4

2.3

1.8

2.4

4.3

6.2

6.8

4.5

7.2

3.7

7.7

5.0

1.4

4.7

7.8

4.5

1.7

2.5

6.0

5.3

4.0

6.5

7.3

15.4

4.4

13.1

4.6

5.1

9.5

14.9

7.0

5.0

5.8

13.1

4.1

3.2

10.0

17.3

12.0

9.6

7.7

2.6

6.2

10.3

4.6

5.9

7.6

South

eas

t A

sia

■Overall degree of satisfaction: by last travel destination, first destination (Total/Single answer)



65

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

2017 survey total (n=4,561) 91.0

2016 survey total (n=4,406) 90.9

UK (n=109) 87.5

France (n=113) 92.6

Germany (n=92) 93.5

Spain (n=79) 94.3

Italy (n=159) 96.6



Middle East

or AfricaOther Middle East or Africa (n=57) 89.0

USA east (n=128) 94.2

USA west (n=149) 96.9


Canada or





Guam (n=205) 89.2

Saipan (n=21) 92.0



Beijing (n=16) 100.0



Macau (n=31) 72.6

Taiwan (n=645) 91.3

Korea (n=370) 87.2


Phuket (n=21) 90.9



Bali (n=60) 88.4












　(those who did not do that matter were excluded from the tabulation)




Euro

peU

SA

(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)

75.6％

77.0

78.3

79.7

83.1

82.3

86.3

87.5

80.3

76.9

78.1

89.1

95.1

81.8

82.6

85.1

80.9

72.5

86.5

76.1

58.0

68.0

58.2

65.3

67.4

74.3

63.7

76.7

72.1

74.9

75.5

72.2

65.7

47.4

60.1

74.1

68.2

79.8

73.0

83.0

77.2

68.1

15.5

13.8

9.2

12.9

10.4

12.0

10.3

9.3

17.0

12.1

16.1

7.8

-

7.7

11.7

9.4

11.3

16.7

5.5

15.7

23.1

32.0

27.2

20.8

5.2

17.0

23.5

15.5

18.8

16.2

15.5

16.2

17.6

30.8

27.0

25.9

24.3

11.6

9.7

11.0

14.5

19.9

2.4

1.9

1.4

2.1

3.0

1.5

-

0.9

-

2.0

0.8

2.0

-

1.4

-

0.5

1.0

3.1

-

-

11.3

-

9.0

3.3

10.0

1.3

6.0

2.1

-

3.8

3.3

1.9

4.0

7.2

2.6

-

2.8

1.4

6.8

1.1

1.7

3.9

6.6

7.2

11.0

5.3

3.6

4.2

3.4

2.3

2.7

9.0

5.0

1.1

4.9

9.1

5.7

5.1

6.8

7.7

8.0

8.2

7.6

-

5.6

10.6

17.4

7.4

6.8

5.7

9.1

5.0

5.7

9.7

12.7

14.6

10.2

-

4.7

7.1

10.6

4.9

6.5

8.1

South

eas

t A

sia



66

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

2017 survey total (n=1,977) 88.0

2016 survey total (n=1,923) 86.8

UK (n=49) 91.5

France (n=34) 83.4

Germany (n=35) 82.5

Spain (n=22) 84.9

Italy (n=44) 96.3



Middle East


USA east (n=49) 93.3

USA west (n=75) 90.6


Canada or





Guam (n=170) 90.5

Saipan (n=19) 91.2





Macau (n=13) 46.9

Taiwan (n=152) 85.0

Korea (n=86) 82.1


Phuket (n=15) 73.9



Bali (n=36) 93.1



Vietnam (n=36) 78.0




Long distance/total (n=501) 91.1

Medium distance/total (n=860) 89.5

Short distance/total (n=615) 83.5






Ocean

iaEuro

peU

SA

(exc

ludi

ng

Haw

aii a

nd

Ala

ska)

Guam

or

Sai

pan

Haw

aii

Hong

Kong

or

Mac

au

72.7％

71.4

79.0

60.9

63.9

71.8

85.9

68.8

72.6

76.0

77.6

85.1

85.9

75.6

73.0

83.0

72.7

79.3

85.2

80.4

52.2

45.7

64.2

40.4

65.3

59.7

66.2

66.4

70.6

73.2

78.9

54.5

56.0

48.2

56.5

79.0

74.7

75.9

75.5

66.1

15.3

15.4

12.5

22.6

18.6

13.1

10.4

24.7

16.0

11.5

15.7

5.5

9.1

16.0

27.0

9.1

16.9

11.2

6.1

15.0

17.8

-

19.8

6.6

19.7

22.4

18.0

7.5

17.8

16.2

14.3

29.6

27.2

29.8

34.6

8.9

8.9

15.2

13.9

17.4

3.3

3.5

3.0

3.4

11.2

-

3.7

-

2.0

4.6

-

2.9

-

-

-

0.4

1.1

1.1

-

1.7

14.3

35.2

6.1

20.7

5.4

6.0

3.4

-

5.3

3.3

-

6.0

2.3

10.3

3.9

4.3

5.3

2.5

2.3

5.4

8.7

9.7

5.5

13.2

6.2

15.1

-

6.5

9.5

7.8

6.7

6.4

5.0

8.4

-

7.6

9.4

8.4

8.8

3.0

15.6

19.1

10.0

32.4

9.6

11.9

12.4

26.1

6.3

7.4

6.9

9.9

14.6

11.7

5.0

7.7

11.0

6.4

8.3

11.2

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)

South

eas

t A

sia



67

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

2017 survey total (n=4,796) 82.1

2016 survey total (n=4,630) 81.5

UK (n=105) 77.9

France (n=107) 82.6

Germany (n=91) 76.8

Spain (n=77) 81.8

Italy (n=162) 78.7



Middle East


USA east (n=129) 82.6

USA west (n=161) 80.2


Canada or





Guam (n=228) 79.0

Saipan (n=24) 80.6



Beijing (n=15) 79.2



Macau (n=34) 74.7

Taiwan (n=671) 85.0

Korea (n=427) 89.3


Phuket (n=23) 75.3



Bali (n=66) 85.2
















Euro

peU

SA

(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)

61.6％

60.5

37.9

66.1

50.4

57.4

67.8

53.7

48.3

33.7

57.9

63.4

62.0

53.3

46.3

73.7

63.7

60.4

52.7

47.2

40.1

60.5

44.2

66.9

52.5

72.8

73.3

58.2

56.8

46.4

75.4

62.6

58.7

36.7

54.7

31.4

43.3

55.2

45.2

54.8

62.9

65.5

20.5

21.0

40.0

16.5

26.4

24.4

10.9

28.5

32.8

36.1

24.7

16.8

16.5

24.2

28.2

14.0

17.0

18.6

27.9

33.7

23.4

18.7

35.8

16.9

22.2

12.2

16.0

21.8

18.5

37.1

13.3

22.7

16.8

39.1

30.3

35.9

31.1

26.9

21.7

24.4

20.4

17.6

6.2

5.9

14.1

4.7

15.1

7.3

1.4

4.5

9.0

12.0

9.6

6.5

14.3

10.3

11.7

2.9

4.2

7.8

-

10.5

18.2

7.1

7.4

5.7

11.6

2.5

3.5

6.3

3.9

8.7

4.1

4.4

8.9

7.8

2.4

13.6

13.4

8.3

16.2

8.4

5.6

5.1

11.7

12.6

8.1

12.7

8.1

10.9

19.9

13.3

9.9

18.2

7.8

13.3

7.3

12.2

13.8

9.4

15.0

13.2

19.4

8.6

18.2

13.7

12.6

10.5

13.6

12.5

7.2

13.8

20.9

7.8

7.2

10.4

15.6

16.4

12.6

19.1

12.1

9.7

16.8

12.3

11.1

11.8

South

eas

t A

sia



68

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

2017 survey total (n=4,185) 80.7

2016 survey total (n=4,031) 78.6

UK (n=91) 80.2

France (n=98) 83.4

Germany (n=73) 89.9

Spain (n=70) 77.1

Italy (n=132) 83.2



Middle East


USA east (n=114) 83.5

USA west (n=144) 89.4


Canada or





Guam (n=217) 80.5

Saipan (n=23) 74.2



Beijing (n=11) 71.1



Macau (n=28) 61.1

Taiwan (n=559) 80.1

Korea (n=391) 82.9


Phuket (n=19) 73.3



Bali (n=60) 78.4
















Euro

peU

SA

(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)

60.7％

58.4

55.9

68.0

56.2

55.5

65.8

52.1

49.3

42.1

61.7

75.5

69.6

55.8

44.7

78.5

67.3

63.4

53.6

37.2

41.6

45.5

43.1

53.7

48.2

60.3

68.6

59.3

48.2

41.9

69.0

52.3

64.8

39.0

47.4

35.5

39.6

60.6

50.4

58.9

63.8

59.2

19.9

20.2

24.3

15.4

33.7

21.7

17.4

29.7

24.7

25.6

21.9

13.8

12.8

22.7

36.3

12.0

17.2

17.2

20.6

24.2

17.6

25.5

22.2

19.1

12.9

19.7

14.3

19.3

25.2

49.1

18.3

26.2

19.2

28.4

29.8

25.9

30.4

23.8

17.1

22.6

19.5

18.4

6.9

6.7

6.1

4.4

7.0

5.0

1.3

8.9

15.5

15.1

6.8

2.2

9.4

7.5

8.0

1.4

4.5

5.4

8.7

22.3

26.4

8.1

22.3

7.7

20.6

5.3

6.3

8.2

-

3.8

6.3

3.4

7.7

13.0

7.4

19.2

16.0

5.5

8.4

7.1

5.5

8.0

12.5

14.6

13.7

12.2

3.1

17.9

15.5

9.4

10.4

17.2

9.6

8.4

8.3

14.0

11.1

8.2

11.1

14.1

17.1

16.3

14.5

20.8

12.4

19.5

18.2

14.6

10.8

13.2

26.7

5.2

6.4

18.2

8.3

19.7

15.5

19.4

14.0

10.2

24.1

11.4

11.1

14.4

South

eas

t A

sia



69

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

2017 survey total (n=1,897) 83.8

2016 survey total (n=1,822) 84.1

UK (n=41) 76.2

France (n=28) 83.5

Germany (n=24) 69.2

Spain (n=14) 72.1

Italy (n=31) 97.3



Middle East





Canada or





Guam (n=90) 83.2

Saipan (n=15) 73.3





Macau (n=18) 74.4

Taiwan (n=313) 85.2

Korea (n=168) 79.0


Phuket (n=19) 83.3



Bali (n=50) 86.7



Vietnam (n=64) 79.0













Euro

peU

SA

(exc

ludi

ng

Haw

aii a

nd

Ala

ska)

Oceania

Hong

Kong

or

Mac

auH

awai

iG

uam

or

Sai

pan

66.2％

66.5

58.8

61.0

48.3

58.5

80.5

61.7

72.1

70.0

71.6

74.4

79.1

61.1

65.0

81.1

67.9

69.1

47.9

56.4

64.7

49.1

57.9

58.6

66.0

60.1

63.0

66.9

71.0

73.5

82.8

60.2

45.5

50.9

43.7

51.4

77.6

82.6

65.3

71.2

61.7

17.5

17.6

17.3

22.4

20.9

13.6

16.8

19.7

14.8

13.2

15.5

15.0

11.8

15.0

35.0

9.8

15.0

14.1

25.3

22.3

15.7

21.4

18.9

15.8

19.2

19.0

17.4

16.4

16.9

15.9

3.9

20.6

32.6

28.1

43.7

16.5

8.3

9.8

19.0

14.8

19.6

5.1

5.3

1.8

6.8

22.8

-

2.7

8.7

6.3

8.6

-

10.5

9.1

14.6

-

2.2

1.8

4.8

-

13.6

13.2

23.6

11.0

6.4

2.9

4.6

8.9

-

12.1

2.5

2.3

8.8

10.5

4.4

-

6.7

2.2

-

7.0

3.6

5.7

11.2

10.5

22.0

9.8

8.0

27.9

-

10.0

6.8

8.3

13.0

-

-

9.4

-

6.9

15.3

11.9

26.7

7.8

6.4

5.9

12.2

19.2

12.0

16.4

10.7

16.7

-

8.0

11.1

10.3

11.4

16.7

12.6

25.4

11.9

7.5

8.7

10.4

13.0

South

eas

t A

sia

Chin

a (e

xclu

ding

Hong

Kong

and

Mac

au)



70

1. Satisfaction with Travel Destinations7) Local Hospitality


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2017 survey total (n=4,986) 81.5

2016 survey total (n=4,802) 83.1

UK (n=114) 84.1

France (n=119) 76.0

Germany (n=97) 84.1

Spain (n=83) 82.4

Italy (n=167) 74.3




USA east (n=135) 78.8

USA west (n=164) 82.4


Canada or





Guam (n=237) 84.5

Saipan (n=24) 74.4



Beijing (n=19) 51.1



Macau (n=35) 70.8

Taiwan (n=690) 85.5

Korea (n=445) 77.2


Phuket (n=24) 78.7



Bali (n=67) 90.1















Euro

pe

Middle East

or Africa

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)

53.7％

55.4

51.3

48.4

47.2

33.0

45.7

45.4

52.7

36.7

48.1

51.1

62.3

60.0

49.1

70.0

69.5

62.3

50.3

56.4

32.7

30.7

26.6

45.2

44.9

58.4

46.5

64.7

48.0

53.6

63.2

66.0

58.2

37.8

44.4

27.7

39.1

63.4

49.9

48.3

61.4

50.8

27.8

27.7

32.9

27.6

36.9

49.4

28.6

38.8

31.6

39.1

30.7

31.3

29.1

21.4

35.2

16.5

18.5

22.2

24.1

25.2

28.4

20.4

40.6

30.2

25.9

27.1

30.7

21.3

30.7

34.7

21.5

24.1

28.0

36.0

35.7

46.8

37.2

20.1

20.7

32.8

22.9

28.5

10.0

8.7

7.6

11.2

10.5

7.6

13.1

7.3

13.6

11.1

15.9

11.1

6.2

12.6

12.4

5.6

2.5

7.9

9.1

8.3

28.8

25.8

18.3

15.5

14.6

6.3

14.2

6.4

-

7.6

7.9

2.6

7.9

16.2

11.3

13.9

16.6

6.0

12.9

11.4

7.0

11.7

8.5

8.1

8.3

12.8

5.4

10.0

12.5

8.5

2.0

13.1

5.2

6.5

2.4

6.0

3.3

8.0

9.5

7.6

16.6

10.1

10.1

23.1

14.5

9.1

14.7

8.1

8.6

7.6

21.3

4.1

7.3

7.3

5.8

10.1

8.6

11.6

7.1

10.5

16.5

7.5

8.6

9.1

South

eas

t A

sia

■Degree of satisfaction with local hospitality: by last travel destination, first destination (Total/Single answer)



71

1. Satisfaction with Travel Destinations8) Safety / Hygiene


and found those

expectations met

I went without



I went without


that it wasn't good



was good /

Total

●Legend

2017 survey total (n=4,986) 82.7

2016 survey total (n=4,802) 84.3

UK (n=114) 87.8

France (n=119) 69.3

Germany (n=97) 85.0

Spain (n=83) 78.8

Italy (n=167) 69.1




USA east (n=135) 84.1

USA west (n=164) 85.3


Canada or





Guam (n=237) 88.8

Saipan (n=24) 83.7



Beijing (n=19) 56.8



Macau (n=35) 78.4

Taiwan (n=690) 86.1

Korea (n=445) 76.4


Phuket (n=24) 81.9



Bali (n=67) 72.5















Euro

pe

Middle East

or Africa

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

)

55.7％

56.6

57.8

39.4

60.2

33.7

38.9

60.7

68.4

42.8

49.0

55.6

55.9

74.0

39.9

76.1

70.8

65.7

69.0

61.9

29.5

24.8

30.3

51.3

52.3

60.7

47.0

75.7

43.8

42.0

53.3

37.1

54.0

27.7

34.3

28.0

33.3

71.9

69.9

52.5

62.4

52.3

26.9

27.7

30.0

29.9

24.9

45.0

30.1

28.6

26.9

34.2

35.1

29.7

32.7

18.9

40.5

15.0

19.5

23.1

14.7

27.3

35.7

32.0

29.3

27.6

26.0

25.4

29.4

16.5

38.2

43.9

29.9

35.4

29.0

30.1

40.3

41.5

29.0

18.9

16.0

30.7

23.4

27.1

9.8

8.4

6.0

16.9

8.4

10.4

20.7

2.2

3.1

11.7

7.5

9.1

7.5

2.3

12.6

2.0

1.0

4.5

-

2.5

27.2

31.6

31.8

13.1

13.9

7.1

15.4

2.9

4.9

14.1

8.9

13.9

13.1

29.1

18.0

15.1

31.2

2.6

6.3

9.3

6.9

12.7

7.6

7.3

6.2

13.7

6.6

10.9

10.2

8.5

1.6

11.4

8.5

5.6

3.9

4.7

7.0

6.9

8.7

6.7

16.3

8.3

7.5

11.6

8.6

8.0

7.7

6.7

8.2

4.9

13.1

-

7.9

13.6

3.9

13.1

7.4

15.4

6.5

6.6

7.7

7.5

7.3

7.9

South

eas

t A

sia

■Degree of satisfaction with safety / hygiene: by last travel destination, first destination (Total/Single answer)



72

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

2017 survey total (n=1,662) 82.6

2016 survey total (n=1,639) 81.8

UK (n=50) 86.0

France (n=41) 80.7

Germany (n=34) 72.4

Spain (n=33) 81.7

Italy (n=46) 84.4



Middle East





Canada or





Guam or

SaipanGuam (n=95) 82.4





Macau (n=22) 77.6

Taiwan (n=182) 81.7

Korea (n=102) 79.3


Phuket (n=14) 86.2



Bali (n=17) 88.1



Vietnam (n=38) 80.2


Oceania Australia (n=56) 93.4









Euro

peH

ong

Kong

or

Mac

auH

awai

i

62.6％

61.1

64.5

58.6

49.9

53.7

61.0

45.9

78.7

59.6

65.3

74.6

85.8

66.2

44.2

76.6

64.1

67.9

62.6

47.6

46.4

57.3

70.2

61.6

52.4

72.9

50.6

52.9

71.4

52.5

67.8

43.2

44.4

33.6

73.3

62.9

67.2

57.4

20.0

20.7

21.5

22.1

22.5

28.1

23.3

29.9

9.0

24.6

20.5

14.8

14.2

18.1

39.8

12.8

8.8

14.6

17.7

19.6

4.6

20.1

7.4

20.1

26.8

15.4

35.6

47.1

17.0

35.6

19.1

28.4

35.8

24.2

20.1

21.4

18.9

20.1

5.9

6.4

1.5

4.9

15.2

-

6.3

7.8

5.9

11.2

5.8

9.0

-

-

4.1

2.6

4.6

7.4

11.3

17.7

33.7

4.4

5.2

6.0

7.7

3.2

-

-

1.7

5.2

6.5

6.4

8.2

24.9

1.5

5.7

4.1

8.0

11.5

11.8

12.6

14.4

12.5

18.3

9.4

16.4

6.5

4.6

8.5

1.5

-

15.7

11.9

7.9

22.5

10.1

8.4

15.1

15.3

18.3

17.2

12.3

13.0

8.5

13.8

-

9.9

6.7

6.5

22.0

11.6

17.3

5.1

10.1

9.8

14.5

Chin

a

(exclu

din

g

Hong K

ong

and M

acau)

South

eas

t A

sia

73

Part 3

Future Overseas Travel


Part 3 Future Overseas Travel

Rate of

intention

Rate of

intention

Rate of

intention

2017

survey

total

(†1)

2016

survey

total

(†2)

2015

survey

total

(†3)

(n=4,703) (n=4,533) (n=4,722)

UK 27.4 26.2 28.3

France 30.9 29.4 33.2

Germany 26.5 26.1 30.1

Spain 30.7 29.6 32.4

Italy 33.3 32.7 37.3

Other countries in western Europe 25.0 22.7 25.2

Other places in Europe 36.2 35.1 36.7

Turkey 8.9 10.1 15.6

Other Middle East or Africa 24.1 23.8 24.3

USA east 26.6 27.1 26.8

USA west 22.6 21.4 23.7

USA south 9.2 9.9 9.4

Canada 17.9 18.0 19.5

Alaska 4.2 4.8 4.5

Central/South America or Caribbean 16.7 18.1 18.8

Hawaii (Oahu) 28.3 26.2 28.6

Hawaii (other than Oahu) 23.2 23.2 25.5

Guam 13.0 13.4 13.7

Saipan 5.5 5.9 6.5

South Pacific islands or other islands 25.1 25.9 27.3

Shanghai 3.2 2.6 2.3

Beijing 1.7 1.4 1.5

Other China (exc. Hong Kong / Macau) 2.7 2.5 2.4

Hong Kong 8.4 7.5 7.6

Macau 3.3 3.3 3.8

Taiwan 18.8 17.1 17.3

Korea 9.7 7.9 8.2

Singapore 12.1 11.0 10.6

Phuket 4.3 4.6 4.1

Thai beaches (other than Phuket) 3.2 3.1 3.2

Bangkok or other Thai cities 7.8 6.8 8.2

Bali 9.3 9.9 9.5

Indonesian beaches (other than Bali) 0.8 1.3 1.3

Indonesian cities 2.0 2.5 2.2

Malaysia 4.7 4.7 4.6

Philippines 7.1 6.7 6.3

Vietnam 9.7 10.2 10.6

Cambodia 4.0 4.8 5.0

Other places in Asia 7.1 8.6 7.5

Australia 27.6 26.9 26.9

New Zealand or other Oceania 19.5 21.4 20.6

Europe/total 74.1 72.9 76.7

Middle East or Africa/total 28.3 28.4 33.1

USA (exc. Hawaii and Alaska)/total 36.1 36.3 37.6

Canada or Alaska/total 20.2 20.6 21.8

Hawaii/total 39.0 36.5 40.0

Guam or Saipan/total 14.5 14.8 15.4

China (ex. Hong Kong / Macau)/total 6.2 5.1 4.9

Hong Kong or Macau/total 9.7 8.6 9.3

Southeast Asia/total 38.2 38.8 38.6

Oceania/total 36.2 37.0 35.7

Long distance/total 86.8 87.7 88.6

Medium distance/total 76.7 76.6 78.2

Short distance/total 42.3 40.5 40.5

（†1）In the 2017 survey, tabulations were done excluding "don't know" (211 samples) from the 4,914 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

2017 survey total

Rate of intention

2016 survey total

Rate of intention

2015 survey total

（％）

74

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

2017 survey total 4,703 74.1 27.4 30.9 26.5 30.7 33.3 25.0 36.2 28.3 8.9 24.1 36.1 26.6 22.6 9.2 20.2 17.9 4.2

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

Male 2,403 70.3 25.5 28.7 26.3 29.1 31.0 22.0 32.5 25.2 7.6 21.0 36.4 25.9 24.0 10.1 18.2 16.0 4.6

Female 2,300 78.1 29.3 33.2 26.7 32.3 35.8 28.2 40.1 31.5 10.2 27.4 35.9 27.3 21.2 8.2 22.3 19.8 3.9

Male 18-29 yrs 325 76.1 38.6 35.2 41.0 32.1 36.5 18 .4 27 .6 23.9 8.2 19.8 49.5 38.6 36.9 12.6 17.7 15.7 3.8

Male 30-39 yrs 462 71.9 29.2 31.9 32.1 30.3 32.4 19 .8 33.0 24.0 8.2 19 .1 38.7 30.5 25.2 11.8 14 .7 11 .6 5.3

Male 40-49 yrs 604 63 .8 20 .0 27.5 21 .2 28.7 29.8 20.4 29 .3 26.6 8.0 22.5 32.5 23.4 21.5 9.0 17.1 15.0 4.4

Male 50-59 yrs 435 66 .3 23.9 27.3 23.2 28.5 30.9 21.0 30 .1 27.5 7.2 24.4 34.9 22.3 24.2 11.0 16.7 14.3 3.6

Male 60 yrs or older 577 75.4 22 .0 25 .0 21 .3 27.5 27 .9 28.3 39.8 23.7 6.8 19 .1 32.5 20 .2 18.3 7.9 23.7 21.8 5.3

Female 18-29 yrs 569 81.3 37.3 41.3 37.3 35.6 38.6 23.1 33.3 30.2 11.5 25.4 46.7 38.0 30.0 10.5 24.3 22.2 3.1

Female 30-39 yrs 458 77.0 29.1 36.4 26.9 33.5 35.0 29.6 38.1 34.5 10.8 29.1 41.1 30.8 26.2 9.0 22.2 20.0 3.7

Female 40-49 yrs 446 70.5 21 .7 27.6 19 .6 28.7 34.4 24.3 37.2 34.9 11.1 31.0 29 .7 23.0 16 .3 6.5 14 .5 13.4 1.8

Female 50-59 yrs 374 80.9 27.5 30.9 25.9 36.3 37.2 34.7 46.3 29.4 7.5 28.4 29 .4 19 .4 17.8 6.9 27.8 24.7 6.3

Female 60 yrs or older 454 80.5 28.7 26.9 20 .6 27.4 33.2 31.5 48.5 28.7 9.1 23.9 28 .4 21 .1 12 .7 7.1 23.1 19.0 5.3

Kanto 2,880 74.3 27.4 30.9 25.8 31.2 34.7 25.5 37.2 28.0 8.5 24.2 36.5 26.5 23.1 9.8 18.7 16.5 4.1

Kansai 1,152 73.4 27.8 30.4 27.2 30.1 31.5 26.0 36.1 29.2 10.0 23.9 36.9 27.5 23.0 8.0 22.3 19.7 4.5

Tokai 671 74.6 26.6 31.8 28.4 29.3 30.4 21.5 32.0 27.9 8.4 24.2 33.3 25.3 20.3 8.5 23.1 20.7 4.7

社会人（子供７歳以上） Worker (child 7 yrs and over) 1,733 71.3 23.2 26.4 22.4 27.2 30.3 24.6 36.5 26.1 7.3 22.6 30 .8 21 .2 18.4 8.0 23.0 20.6 4.7

社会人（子供２～６歳） Worker (child 2-6 yrs) 220 64 .8 24.6 29.3 21 .3 23 .4 32.3 18 .7 28 .5 20 .0 6.6 15 .5 30 .7 24.0 20.6 7.4 13 .9 11 .0 4.6

社会人（子供１歳以下） Worker (child 1 yr and under) 130 70.9 24.6 30.3 27.5 32.1 32.2 17 .7 24 .6 22 .6 4.9 20.2 44.8 33.3 29.5 9.3 16.5 14.8 3.8

社会人（既婚・子供無） Worker (married, no children) 950 76.4 28.4 32.9 26.8 33.2 38.1 26.3 36.6 28.7 8.8 24.1 36.3 25.6 23.3 9.3 18.9 16.6 4.0

Worker (unmarried) 1,449 77.2 30.7 33.1 30.0 34.6 33.7 26.7 38.4 32.8 11.4 28.1 40.6 31.2 25.7 10.3 18.8 16.5 3.8

Unmarried male 768 71.7 29.3 31.3 31.6 31.5 31.9 22.6 34.3 28.9 9.9 24.3 40.7 30.9 28.2 11.6 16.8 14.3 4.6

Unmarried female 20s/30s 648 82.1 36.4 40.3 36.2 37.0 36.3 27.3 38.7 33.8 12.7 28.2 47.9 38.6 30.3 11.0 23.7 21.3 3.4

Unmarried female 40s and over 249 81.4 26.0 30.2 17 .7 32.6 34.4 34.0 45.6 36.7 11.1 33.9 28 .4 21.9 11 .2 6.5 15.4 13.0 2.8

Student 221 77.3 38.1 44.6 39.2 28.8 35.7 22.3 32.7 25.7 9.4 21.3 48.2 40.7 30.8 12.4 21.8 18.9 4.0

Light 746 69.5 31.0 34.8 29.3 23 .8 29.8 16 .1 23 .0 19 .4 5.4 16 .8 36.3 28.6 23.8 6.7 18.0 15.7 3.8

Middle 1,187 74.2 28.7 34.0 29.5 31.6 37.1 21.9 33.7 23.4 7.5 19.5 38.9 29.7 25.2 8.7 21.0 19.4 3.8

Heavy 2,770 75.3 25.8 28.5 24.5 32.2 32.6 28.8 40.8 32.8 10.4 28.1 34.9 24.7 21.2 10.0 20.5 17.8 4.5

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


2017 survey total 4,703 16.7 39.0 28.3 23.2 14.5 13.0 5.5 25.1 6.2 3.2 1.7 2.7 9.7 8.4 3.3 18.8 9.7

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

Male 2,403 16.1 37.0 28.2 20.8 14.8 13.3 6.6 22.8 7.4 4.0 2.4 3.3 10.0 8.7 4.0 18.6 7.0

Female 2,300 17.4 41.2 28.5 25.7 14.2 12.7 4.3 27.5 5.0 2.4 1.0 2.1 9.3 8.1 2.6 19.1 12.4

Male 18-29 yrs 325 12.3 39.9 32.8 18.8 19.5 18.4 9.6 20 .1 8.5 5.1 3.4 3.1 9.6 8.5 3.4 14.7 7.2

Male 30-39 yrs 462 14.3 42.4 32.3 23.7 22.5 20.2 9.4 26.0 6.7 4.4 3.1 2.3 9.0 7.3 4.2 17.0 6.5

Male 40-49 yrs 604 17.1 35.7 27.4 19.1 13.9 12.5 6.3 23.6 6.9 3.2 1.8 3.3 11.0 9.8 4.8 22.3 8.0

Male 50-59 yrs 435 17.0 39.9 31.1 23.4 12.2 10.3 5.3 23.0 6.0 4.1 1.2 2.6 11.7 10.7 4.5 18.2 7.6

Male 60 yrs or older 577 17.8 30 .1 20 .9 19.4 8 .8 7 .7 3.9 20.7 9.0 4.0 2.8 4.8 8.8 7.5 2.9 18.3 6.1

Female 18-29 yrs 569 15.5 51.1 30.2 32.3 26.2 23.3 7.3 33.7 5.9 4.0 1.0 1.3 10.3 8.8 2.3 19.1 17.8

Female 30-39 yrs 458 20.3 44.7 31.8 27.9 17.1 16.1 6.6 35.2 3.7 1.0 0.7 2.2 10.0 8.8 2.7 21.5 10.3

Female 40-49 yrs 446 17.3 40.6 31.8 26.6 11.9 10.3 3.4 25.3 4.9 2.3 1.6 2.1 11.1 10.3 3.4 20.4 14.2

Female 50-59 yrs 374 14.4 35.0 24.4 20.9 4 .7 4 .1 1.3 21.6 4.1 1.6 0.3 2.2 10.3 8.4 3.4 17.2 8.8

Female 60 yrs or older 454 19.5 31 .0 23 .1 18.3 6 .1 5 .3 1.8 19 .0 6.1 2.5 1.3 2.8 4.8 4.1 1.5 16.8 8.9

Kanto 2,880 17.8 39.3 28.5 23.7 14.0 12.5 5.6 25.8 6.0 3.3 1.6 2.4 9.2 8.1 3.2 18.1 8.1

Kansai 1,152 15.0 36.9 27.0 21.0 15.6 14.0 5.3 24.5 6.5 2.8 1.9 3.1 10.9 9.2 3.5 21.0 11.1

Tokai 671 15.0 41.6 29.6 25.1 14.6 13.3 5.1 23.1 6.8 3.6 1.7 3.3 9.5 8.6 3.3 18.3 14.0

社会人（子供７歳以上） Worker (child 7 yrs and over) 1,733 15.8 36.4 27.2 21.1 10.1 8.7 4.3 22.2 6.1 2.9 1.4 3.0 8.2 7.0 3.0 18.8 7.9

社会人（子供２～６歳） Worker (child 2-6 yrs) 220 13.2 54.6 42.2 31.1 25.9 23.4 9.9 28.4 3.5 1.6 0.8 1.9 10.9 9.7 3.6 18.0 7.6

社会人（子供１歳以下） Worker (child 1 yr and under) 130 15.2 53.9 40.7 28.7 25.6 21.0 10.8 37.5 7.4 4.4 1.3 2.3 11.9 10.2 3.9 17.8 11.3

社会人（既婚・子供無） Worker (married, no children) 950 17.6 44.6 33.8 26.3 16.8 15.1 5.6 30.4 5.0 2.1 1.3 2.3 7.9 6.6 3.2 18.2 9.0


Unmarried male 768 17.4 29 .8 23 .0 15 .9 14.4 13.1 6.7 19 .8 9.2 5.3 3.8 3.9 12.3 11.1 4.9 19.4 7.6

Unmarried female 20s/30s 648 17.5 42.8 24.1 29.3 19.6 18.1 5.9 30.3 5.7 3.5 0.8 1.7 11.0 9.5 2.5 20.5 17.3

Unmarried female 40s and over 249 20.0 33 .5 24.2 23.2 7 .4 7 .4 1.4 19 .0 6.0 3.7 1.9 1.9 13.0 12.6 2.3 16.7 12.1

Student 221 10 .9 33 .6 21 .2 19.3 24.8 23.8 9.9 14 .9 9.5 6.0 3.0 3.0 10.9 9.4 2.5 16.9 15.8

Light 746 7 .0 45.0 29.9 28.0 26.4 24.7 9.3 24.8 6.3 3.8 1.6 2.5 9.7 8.9 2.8 20.2 12.5

Middle 1,187 13.1 44.1 31.8 25.1 17.4 15.7 6.3 25.9 6.5 4.0 2.0 1.9 10.5 9.4 2.7 21.4 9.9

Heavy 2,770 20.9 35.2 26.4 21.1 10.0 8.7 4.1 24.8 6.1 2.8 1.6 3.1 9.3 7.9 3.7 17.3 8.8

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

2017 survey total 4,703 38.2 12.1 4.3 3.2 7.8 9.3 0.8 2.0 4.7 7.1 9.7 4.0 7.1 36.2 27.6 19.5

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

Male 2,403 36.1 10.6 4.2 4.1 9.6 7.7 1.2 2.8 5.3 7.2 8.6 4.3 6.8 34.5 26.7 18.6

Female 2,300 40.4 13.6 4.4 2.4 5.9 11.0 0.4 1.2 4.0 7.0 10.8 3.7 7.3 37.9 28.6 20.5

Male 18-29 yrs 325 26 .3 8.9 1.0 2.0 3.8 7.8 0.7 0.3 1.4 5.8 2 .0 1.7 3.1 28 .3 23.2 12 .6

Male 30-39 yrs 462 32 .4 11.1 3.6 2.7 7.6 7.6 0.6 2.1 2.9 6.1 4 .6 2.3 5.5 33.6 26.5 15.6

Male 40-49 yrs 604 37.1 11.2 5.6 5.4 11.0 8.5 1.2 3.2 7.2 8.1 10.3 3.7 7.2 31.8 24.5 18.9

Male 50-59 yrs 435 41.4 13.1 6.2 6.0 11.5 7.2 1.9 2.9 5.7 9.3 10.5 5.0 7.2 33.8 26.3 18.4

Male 60 yrs or older 577 39.6 8.8 3.3 3.7 11.6 7.3 1.5 4.4 7.2 6.4 12.5 7.5 9.4 42.2 31.4 24.4

Female 18-29 yrs 569 41.5 14.5 4.8 2.3 5.5 14.3 0.6 1.0 2.7 11.1 6.3 2.3 4.2 38.6 32.5 15.9

Female 30-39 yrs 458 40.6 13.2 4.6 3.9 6.1 12.5 0.2 1.2 4.4 8.6 9.5 3.2 6.6 35.5 25.2 18.8

Female 40-49 yrs 446 41.9 14.2 4.4 2.3 7.8 10.6 0.8 1.3 3.9 4.9 12.9 4.4 8.8 38.5 28.9 22.7

Female 50-59 yrs 374 42.5 15.3 4.7 1.6 7.2 8.4 ― 1.3 4.4 4.4 12.8 4.7 8.8 40.0 28.8 25.6

Female 60 yrs or older 454 35.5 10.7 3.3 1.5 3.3 7.9 0.5 1.3 5.1 4.6 14.2 4.3 9.1 37.1 26.6 21.3

Kanto 2,880 37.3 11.4 4.1 3.6 7.4 9.1 0.9 2.1 4.7 7.2 9.3 3.8 7.2 36.1 27.2 19.0

Kansai 1,152 39.4 11.7 4.4 2.1 8.4 9.8 0.9 2.2 4.8 6.9 11.1 4.9 7.3 38.2 29.8 21.1

Tokai 671 39.9 15.6 4.9 3.6 8.3 9.4 0.5 1.7 4.3 7.1 9.3 3.4 6.3 33.0 25.4 19.0

社会人（子供７歳以上） Worker (child 7 yrs and over) 1,733 39.1 11.6 4.7 2.9 8.2 8.4 0.9 2.2 4.9 5.9 11.7 5.3 7.5 39.7 30.3 22.9

社会人（子供２～６歳） Worker (child 2-6 yrs) 220 38.6 13.0 6.2 4.5 8.6 11.1 1.6 0.8 5.8 11.2 5.8 2.1 2.6 38.9 33.1 20.5

社会人（子供１歳以下） Worker (child 1 yr and under) 130 38.2 14.2 4.6 0.9 2 .4 16.2 1.5 1.7 3.3 5.4 8.8 ― 4.1 39.2 33.4 15.7

社会人（既婚・子供無） Worker (married, no children) 950 36.1 11.5 3.7 3.5 6.8 9.7 1.1 2.0 4.3 7.8 9.4 3.6 6.6 33.8 24.3 18.7

Worker (unmarried) 1,449 39.5 12.9 4.2 3.9 9.0 9.4 0.6 2.2 4.8 7.2 9.1 3.6 8.0 33.8 25.6 17.5

Unmarried male 768 35.7 11.4 2.3 4.4 10.5 6.8 0.6 3.1 5.8 6.8 6.5 2.6 7.3 30 .2 24.2 15.0

Unmarried female 20s/30s 648 40.6 14.1 4.7 3.1 6.6 13.0 0.2 0.8 2.4 10.1 8.0 3.7 5.8 36.3 28.4 16.5

Unmarried female 40s and over 249 41.9 12.6 6.5 2.3 6.0 7.5 0.9 1.9 6.5 3.7 15.8 5.1 13.0 35.4 22.8 22.3

Student 221 31 .2 10.4 2.0 1.5 3.5 8.9 ― 1.0 3.0 10.4 3 .9 2.0 5.0 29 .6 25.3 11 .3

Light 746 32 .8 12.9 4.1 2.2 4.3 9.5 0.7 0.8 2.7 7.1 4.9 2.1 3.0 32.3 27.2 14 .0

Middle 1,187 39.1 13.6 5.0 2.8 7.0 10.4 0.5 1.7 3.9 9.5 8.2 3.1 3.5 40.6 33.6 20.0

Heavy 2,770 39.3 11.2 4.0 3.7 9.1 8.8 1.0 2.5 5.5 6.1 11.7 4.9 9.7 35.3 25.2 20.8






Canada or Alaska

Sex


Sex

Area of

residence


Sex

Life

stage

Number of

trips taken

Life

stage

Number of

trips taken

Sex & age

Sex & age

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

Sex & age

Life

stage

Number of

trips taken

Area of

residence

Area of

residence

75

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

2017

Countries/Areas wish

to go to infuture

(n=4,986) (n=4,986)

UK 5.8 25.8France 6.1 29.2Germany 5.5 25.0Spain 5.9 29.0Italy 6.4 31.4Other countries in western Europe 7.2 23.6Greece 1.8 11.4Countries of eastern Europe 5.1 17.5Countries of northern Europe 4.3 22.0Turkey 0.9 8.4Morocco 1.3 5.9Egypt 1.1 8.9Dubai 1.3 8.9Kenya 0.2 2.0Other Middle East or Africa 1.1 4.4USA east 5.7 25.1USA west 5.8 21.4USA south 1.8 8.6Canada 3.4 16.8Alaska 0.6 4.0Mexico 1.4 6.9Jamaica 0.1 1.9Caribbean islands 1.5 7.3Other Central/South America 1.3 5.4Hawaii (Oahu) 13.4 26.7Hawaii (other than Oahu) 6.8 21.9Guam 5.4 12.2Saipan 2.1 5.2Palau 1.5 5.0Other Micronesia 0.5 1.6Fiji 0.8 3.5Tahiti 1.5 7.8New Caledonia 1.5 7.9Maldives 2.0 12.0Other Islands in South Pacific of Indian Ocean 0.8 2.9Shanghai 2.0 3.1Beijing 0.8 1.6Hong Kong 4.9 8.0Macau 2.4 3.1Other China 1.7 2.5Taiwan 12.0 17.7Korea 8.1 9.1Singapore 5.5 11.4Phuket 1.9 4.0Thai beaches (other than Phuket) 1.9 3.1Thailand (other than beach resorts) 5.1 7.4Bali 3.5 8.8Indonesian beaches (other than Bali) 0.6 0.8Indonesia (other than beach resorts) 1.1 1.9Malaysian beaches 1.5 2.3Malaysia (other than beach resorts) 1.8 2.6Cebu Island 2.6 5.3Philippine beaches (other than Cebu Island) 0.7 1.0Philippines (other than beach resorts) 1.3 1.1Vietnam cities (Ho Chi Minh, Hanoi) 4.0 6.6Vietnam beaches 1.9 2.7Vietnam (other than cities and beach resorts) 1.1 1.8Cambodia 1.6 3.8India 0.8 3.1Sri Lanka 1.0 2.9Other Asia 1.2 1.8Australia 6.8 26.1New Zealand 3.9 17.7Other Oceania 0.6 1.5

Long distance/total 38.8 81.9Medium distance/total 39.4 72.4Short distance/total 29.3 39.9Destination undecided 5.2 *No desire to travel overseas this year 17.2 *Don't know * 4.1I have no desire to travel overseas in the future * 1.5† "*"：No applicable data

Oceania

Guam orSaipan

South Pacific

islands or otherislands

China

Other places inAsia

Southeast Asia

Europe

Middle East

or Africa

Central/SouthAmerica or

Caribbean

Hawaii

USA (excludingHawaii and

Alaska)Canada or

Alaska

0 20 40 60 80 100

Countries/Areas wish to go to (went to) in 2017

Countries/Areas wish to go to in future （％）

76

2. Countries / Areas Wish to Travel to Overseas in 2017

■Countries/Areas wish to go to (went to) in 2017 / Countries/Areas wish to go to in future

・Countries/Areas wish to go to (went to) in 2017 (Total/Multiple answers)

・Countries/Areas wish to go to in future (Total/Up to ten multiple answers)



77

3. [Reference] Destination would like to travel to (1)

■Destination would like to travel to (those who have never been overseas / 1st through 5th total)

Rate of

intention

Rate of

intention

2017

survey

total

2016

survey

total

(n=1,763) (n=1,781)

UK 26.6 27.1

France 32.1 37.0

Germany 22.0 22.3

Spain 13.1 14.8

Italy 34.0 34.3

Other countries in western Europe 18.5 18.1

Other places in Europe 22.9 23.6

Turkey 3.1 2.9

Other Middle East or Africa 10.4 11.2

USA east 24.2 24.9

USA west 16.8 16.6

USA south 3.2 3.3

Canada 12.6 13.8

Alaska 1.3 2.0

Central/South America or Caribbean 6.0 7.0

Hawaii (Oahu) 42.8 43.1

Hawaii (other than Oahu) 23.7 21.0

Guam 4.3 5.2

Saipan 39.2 34.8

South Pacific islands or other islands 1.8 1.9

Shanghai 1.1 1.0

Beijing 0.8 0.9

Other China (exc. Hong Kong / Macau) 5.0 4.4

Hong Kong 0.9 1.0

Macau 16.0 15.5

Taiwan 11.3 8.3

Korea 7.2 5.8

Singapore 2.2 2.7

Phuket 4.0 3.1

Thai beaches (other than Phuket) 11.6 10.1

Bangkok or other Thai cities 0.7 0.7

Bali 1.4 1.5

Indonesian beaches (other than Bali) 5.0 4.7

Indonesian cities 2.1 2.2

Malaysia 0.8 1.2

Philippines 2.0 2.9

Vietnam 32.5 33.0

Cambodia 13.6 13.8

Other places in Asia 77.2 78.6

Australia 12.7 13.6

New Zealand or other Oceania 34.3 35.6

Europe/total 13.5 15.4

Middle East or Africa/total 25.0 22.3

USA (exc. Hawaii and Alaska)/total 3.5 3.4

Canada or Alaska/total 5.6 5.3

Hawaii/total 27.8 25.8

Guam or Saipan/total 40.8 41.1

China (ex. Hong Kong / Macau)/total 89.1 91.0

Hong Kong or Macau/total 78.4 77.9

Southeast Asia/total 48.9 44.8

Oceania/total

Long distance/total

China (excluding

Hong Kong and

Macau)

Hong Kong or

Macau

Southeast Asia

Oceania

Rate of intention

Europe

Middle East

or Africa

USA (excluding

Hawaii and

Alaska)

Canada or

Alaska

Hawaii

Guam or

Saipan

0 10 20 30 40 50

Rate of intention

2017 survey total

Rate of intention

2016 survey total

（％）



78

3. [Reference] Destination would like to travel to (2)

■Destination would like to travel to：By demographic (those who have never been overseas / 1st through 5th 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

2017 survey total 1,763 77.2 26.6 32.1 22.0 13.1 34.0 18.5 22.9 12.7 3.1 10.4 34.3 24.2 16.8 3.2 13.5 12.6 1.3

2016 survey total 1,781 78.6 27.1 37.0 22.3 14.8 34.3 18.1 23.6 13.6 2.9 11.2 35.6 24.9 16.6 3.3 15.4 13.8 2.0

Male 831 72.9 27.0 26 .5 25.2 13.8 30.4 17.4 20.9 13.7 3.0 11.2 42.0 29.8 22.4 4.5 11.5 10.3 1.4

Female 931 81.1 26.3 37.0 19.1 12.5 37.2 19.4 24.6 11.8 3.2 9.7 27 .4 19 .1 11 .8 2.1 15.3 14.6 1.3

Male 18-29 yrs 313 77.1 33.4 29.7 29.3 13.3 31.8 15.6 22.7 10.1 3.2 7.3 47.6 35.2 22.9 5.3 10.5 10.3 0.7

Male 30-39 yrs 189 76.1 26.7 23 .9 30.2 18.0 31.0 20.8 25.9 14.5 3.1 11.8 43.5 30.6 23.9 2.7 8 .2 7 .5 0.8

Male 40-49 yrs 127 64 .8 23.9 25 .4 21.1 9.2 28 .2 18.3 17 .6 19.0 4.2 14.8 40.8 29.6 23.2 8.5 11.3 10.6 1.4

Male 50-59 yrs 64 58 .4 22.5 23 .6 11 .2 12.4 29.2 16.9 16 .9 15.7 3.4 15.7 37.1 24.7 23.6 4.5 10.1 5 .6 4.5

Male 60 yrs or older 137 73.4 17 .7 25 .3 19.0 13.9 29.1 16.5 15 .2 15.2 1.3 13.9 30.4 19 .0 17.7 1.3 19.0 16.5 2.5

Female 18-29 yrs 316 77.6 28.4 38.4 17.1 11.3 35.2 14.3 16 .6 7.9 2.3 6.2 34.3 24.3 15.1 2.1 9.2 8.7 0.4

Female 30-39 yrs 179 74.2 25.0 36.5 20.2 9.1 31.7 16.7 23.4 11.9 3.6 8.7 24 .2 20.2 9 .5 1.2 7 .1 6 .7 0.4

Female 40-49 yrs 123 80.0 21 .4 35.0 17.9 8.6 40.7 21.4 26.4 13.6 3.6 12.1 25 .0 15 .0 12.9 2.9 15.0 14.3 2.1

Female 50-59 yrs 89 82.9 27.6 32.5 19.5 18.7 38.2 27.6 28.5 22.8 3.3 20.3 24 .4 17 .9 8 .1 3.3 25.2 22.0 5.7

Female 60 yrs or older 224 91.2 26.5 38.2 21.6 16.7 42.2 24.5 34.3 11.8 3.9 9.8 22 .5 13 .7 9 .8 2.0 26.5 26.5 1.0

Kanto 960 75.7 27.5 29.3 21.0 13.7 34.8 19.6 22.0 13.2 3.8 10.5 34.9 24.0 17.0 3.0 13.1 12.2 1.4

Kansai 526 77.9 24.9 34.3 23.9 13.1 32.3 17.0 23.1 10.4 2.9 8.0 32.8 23.1 16.3 3.3 14.7 13.8 1.5

Tokai 277 81.4 26.6 37.3 21.5 11.3 34.6 17.4 25.7 15.4 1.0 14.7 34.6 26.6 17.2 3.7 12.5 11.7 1.0

Sample

Central/

South

America

or

Caribbean

HawaiiGuam or

SaipanGuam Saipan

Micronesia

, South

Pacific,

Indian

Ocean

China

(excluding

Hong

Kong and

Macau)

Shanghai Beijing

Other

China

(exc. Hong

Kong /

Macau)

Hong

Kong or

Macau

Hong


2017 survey total 1,763 6.0 42.8 25.0 23.7 4.3 39.2 3.5 1.8 1.1 0.8 5.6 5.0 0.9 16.0 11.3

2016 survey total 1,781 7.0 43.1 22.3 21.0 5.2 34.8 3.4 1.9 1.0 0.9 5.3 4.4 1.0 15.5 8.3

Male 831 6.4 37 .4 22.5 20.7 4.9 34.8 5.1 2.8 1.6 1.1 6.4 5.4 1.2 17.5 5 .8

Female 931 5.6 47.6 27.2 26.3 3.8 43.1 2.1 0.9 0.7 0.5 4.9 4.6 0.6 14.6 16.1

Male 18-29 yrs 313 5.0 38.4 24.9 24.0 4.1 32 .0 5.3 3.2 1.6 0.7 4.8 3.7 1.1 10 .8 6.6

Male 30-39 yrs 189 8.6 37 .3 22.0 18 .4 6.3 38.0 4.7 2.7 1.6 1.6 7.5 5.5 2.0 18.0 3 .5

Male 40-49 yrs 127 5.6 41.5 20.4 19.7 4.9 33 .1 3.5 2.1 1.4 0.7 5.6 5.6 1.4 17.6 3 .5

Male 50-59 yrs 64 11.2 37 .1 29.2 28.1 6.7 43.8 5.6 3.4 ― 2.2 6.7 5.6 1.1 12.4 6.7

Male 60 yrs or older 137 5.1 31 .6 16 .5 13 .9 3.8 34 .2 6.3 2.5 2.5 1.3 8.9 8.9 ― 34.2 8.9

Female 18-29 yrs 316 4.3 56.3 38.2 37.1 5.1 48.4 2.6 1.1 1.1 0.4 2.8 2.1 0.6 17.3 20.0

Female 30-39 yrs 179 4.0 54.4 29.8 29.0 4.8 48.4 2.0 1.2 0.8 ― 5.2 4.8 0.4 16.3 17.1

Female 40-49 yrs 123 7.1 41.4 26.4 25.0 4.3 46.4 0.7 0.7 ― ― 6.4 6.4 ― 11.4 15.7

Female 50-59 yrs 89 5.7 42.3 15 .4 13 .8 4.1 34 .1 0.8 ― ― 0.8 9.8 9.8 0.8 16.3 14.6

Female 60 yrs or older 224 7.8 35 .3 14 .7 14 .7 1.0 33 .3 2.9 1.0 1.0 1.0 4.9 4.9 1.0 10 .8 10.8

Kanto 960 5.7 42.6 24.7 23.2 5.3 40.8 2.7 1.1 1.0 0.8 4.5 4.0 0.6 14.9 10.2

Kansai 526 5.6 45.3 25.9 25.5 2.3 38.2 4.7 3.1 1.6 0.4 7.5 6.9 1.3 18.1 13.0

Tokai 277 7.8 38.7 24.0 22.0 4.8 35.7 3.9 2.1 0.8 1.3 5.7 4.9 1.1 15.6 11.7

Sample

Southeast

AsiaSingapore Phuket Thailand Bali

Indonesia

(other

than Bali)

Malaysia Philippines Vietnam Cambodia

Other

places in

Asia

Oceania Australia

New

Zealand or

other

Oceania

2017 survey total 1,763 27.8 7.2 2.2 4.0 11.6 0.7 1.4 5.0 2.1 0.8 2.0 40.8 32.5 13.6

2016 survey total 1,781 25.8 5.8 2.7 3.1 10.1 0.7 1.5 4.7 2.2 1.2 2.9 41.1 33.0 13.8

Male 831 26.8 6.9 2.2 5.8 10.8 0.7 1.8 4.7 2.5 0.6 2.5 39.9 31.7 15.4

Female 931 28.7 7.4 2.1 2.4 12.2 0.6 1.1 5.2 1.6 1.0 1.6 41.6 33.3 12.1

Male 18-29 yrs 313 22 .4 7.3 1.6 3.4 8.5 0.5 2.1 3.9 1.1 ― 2.1 39.1 33.4 12.6

Male 30-39 yrs 189 22 .0 5.5 1.2 5.1 9.0 0.8 0.8 4.3 1.6 0.4 3.5 31 .0 24 .7 8 .6

Male 40-49 yrs 127 28.9 5.6 2.8 10.6 10.6 ― 3.5 7.7 5.6 0.7 2.1 41.5 36.6 16.9

Male 50-59 yrs 64 37.1 4.5 6.7 11.2 19.1 2.2 1.1 5.6 3.4 2.2 4.5 40.4 31.5 19.1

Male 60 yrs or older 137 36.7 10.1 2.5 5.1 15.2 1.3 1.3 3.8 3.8 1.3 1.3 51.9 32.9 27.8

Female 18-29 yrs 316 32.0 7.0 1.5 2.3 17.1 0.6 0.9 7.9 1.1 0.2 1.9 34 .1 28.8 7 .9

Female 30-39 yrs 179 32.9 5.6 1.2 4.8 17.5 0.4 1.6 7.1 0.8 0.8 1.2 40.5 32.9 10.7

Female 40-49 yrs 123 28.6 5.7 5.0 0.7 10.0 ― 0.7 7.9 1.4 2.1 2.9 40.7 37.1 10.0

Female 50-59 yrs 89 22 .0 6.5 4.9 0.8 8.1 0.8 1.6 1.6 ― 2.4 1.6 45.5 35.0 18.7

Female 60 yrs or older 224 23.5 10.8 1.0 2.0 3 .9 1.0 1.0 ― 3.9 1.0 1.0 52.0 37.3 17.6

Kanto 960 28.5 6.3 2.3 4.2 12.7 0.8 1.4 6.4 2.3 1.0 2.2 39.0 29.9 13.0

Kansai 526 28.1 8.6 1.7 3.0 11.1 0.5 1.2 2.4 2.5 0.7 1.7 41.9 35.0 14.5

Tokai 277 24.9 7.5 2.6 4.7 8.5 0.5 1.6 4.8 0.3 0.3 2.1 44.7 37.0 14.3



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

Sex

Area of

residence

Sex & age

Europe

Hong Kong or Macau

Sex

Sex & age

Area of

residence

Guam or Saipan China (excluding Hong Kong and Macau)

Oceania

Sex

Sex & age

Area of

residence

Southeast Asia

79

Part 4

Factors that Promote Overseas Travel


Part 4 Factors that Promote Overseas Travel

80

1. Experience that influences overseas travel

■Experience that influences overseas travel (Total/Multiple answers)

Sample

Had

(hav

e) fr

iend/

acqu

ainta

nce o

vers

eas

Hav

e t

rave

led

abro

ad o

n b

usi

ness

There

was

(s)

som

eth

ing

els

e o

vers

eas

that

I lik

ed

(fas

hio

n, a

rchitectu

re, e

tc.)

There

was

(is

) a

cele

brity/

artist

that

I li

ke

I hav

e a

ttende

d a

langu

age s

chool /

I h

ave

take

n fore

ign la

ngu

age le

ssons

There

was

(is

) fa

mily

livi

ng

ove

rseas

I lik

ed

(like

) a

sport

s ove

rseas

I hav

e s

tudi

ed

ove

rseas

I tr

avele

d ove

rseas

som

etim

e b

etw

een

when I w

as a

todd

ler

and

ele

menta

ry s

chool

stude

nt

I tr

avele

d ove

rseas

som

etim

e b

etw

een

when I w

as a

junio

r hig

h s

chool s

tude

nt

and

hig

h s

chool s

tude

nt

I hav

e b

een o

vers

eas

on a

school t

rip

I hav

e t

rave

led

ove

rseas

to e

nga

ge in

/

study

a s

port

or

oth

er

purs

uit

None o

f th

e a

bove

2017 survey total 20,863 17.5 14.0 12.1 10.0 8.3 7.7 5.4 5.0 4.3 4.3 4.0 1.8 51.6

Male 10,016 14.7 24.2 9.4 8.5 5.2 5.4 8.4 3.9 4.3 3.9 4.0 1.7 50.4

Female 10,847 20.2 4 .5 14.6 11.4 11.1 9.7 2.6 5.9 4.4 4.6 3.9 1.9 52.8

Male 18-29 yrs 1,463 10 .1 2 .8 6 .2 10.1 5.4 4.5 9.3 5.1 14.6 9.0 12.6 1.9 52.0

Male 30-39 yrs 1,531 12.9 11.3 7.7 11.2 6.2 4.8 13.1 5.2 7.4 8.1 8.2 2.1 54.2

Male 40-49 yrs 1,882 15.5 18.7 10.7 12.0 5.0 4.1 11.7 4.0 3.2 4.1 3.5 1.9 52.4

Male 50-59 yrs 1,506 16.0 29.3 10.9 11.1 5.0 4.5 8.3 3.4 1.5 2.1 0.9 1.5 50.1

Male 60 yrs or older 3,635 16.3 39.1 10.1 3 .8 4.8 7.1 4.5 3.1 0.5 0.7 0.5 1.5 47.2

Female 18-29 yrs 1,421 17.9 1 .9 13.7 16.9 9.8 6.2 2.6 10.6 16.7 11.6 14.7 2.3 45 .5

Female 30-39 yrs 1,492 23.3 4 .2 14.2 14.3 13.4 7.4 3.7 10.2 9.2 10.8 9.4 2.5 46.9

Female 40-49 yrs 1,846 22.9 5 .6 15.2 15.4 12.4 8.0 3.5 7.7 3.6 5.1 2.8 1.7 49.4

Female 50-59 yrs 1,517 22.2 5 .7 16.7 14.4 11.0 9.8 3.6 4.6 1.2 2.3 0.8 1.8 53.7

Female 60 yrs or older 4,571 18.2 4 .6 14.0 6.2 10.3 12.2 1.6 2.9 0.4 0.9 0.2 1.8 58.2

Kanto 11,896 19.4 16.0 13.2 10.5 9.0 8.4 6.0 5.5 4.8 4.7 4.1 2.0 48.3

Kansai 5,798 15.2 11.1 10.5 9.0 7.6 6.7 4.5 4.4 3.7 3.9 4.3 1.8 55.7

Tokai 3,169 15.0 11.5 10.6 10.0 6.6 6.3 4.7 3.9 3.8 3.3 2.9 1.5 56.9

Have traveled overseas every year for the last 3 years 948 41.8 27.8 30.3 18.0 20.8 20.8 11.2 11.4 7.9 10.6 4.8 5.2 22 .5

Have traveled overseas once during the last 3 years 3,821 29.6 17.9 19.7 13.8 13.9 14.1 8.1 9.8 7.7 8.4 6.5 3.5 29 .7

Have not traveled overseas during the last 3 years but have traveled overseas before 9,173 17.0 13.8 11.9 9.5 8.5 7.1 5.0 4.7 4.9 4.2 4.9 1.7 48.0

Have not traveled overseas in 2016 or before 6,922 8 .3 10.1 5 .5 7.5 3 .2 3.0 3.7 1.9 1.2 1.2 1.2 0.6 72.5



By most recent

travel situation

Sex

Area of

residence

Sex & age

0

20

40

60

2017 survey total

（％）


Part 4 Factors that Promote Overseas Travel

81

2. Triggers for traveling abroad

■Triggers for traveling abroad (total / total for 1st through 3rd)

Sample

MoneyLeisure time,

time

Interest in

foreign countries

Situations

overseasInvited by others Ease

Whether there is

an event that

merits travel

(graduation trip,

etc.)

I don’t want to

travel overseas

2017 survey total 20,863 67.6 63.7 52.5 25.8 22.7 21.7 10.8 12.5

Male 10,016 68.1 63.5 51.6 24.1 18.3 22.1 10.9 14.7

Female 10,847 67.1 63.9 53.4 27.3 26.8 21.4 10.8 10.4

Male 18-29 yrs 1,463 71.9 67.1 46 .3 19 .3 23.5 19.2 13.0 14.0

Male 30-39 yrs 1,531 69.5 70.1 45 .0 23.1 17.8 20.7 11.0 15.2

Male 40-49 yrs 1,882 71.1 73.8 47 .3 20 .4 15 .9 19.6 11.3 14.4

Male 50-59 yrs 1,506 70.4 74.5 48.8 22.0 13 .5 21.0 11.2 13.6

Male 60 yrs or older 3,635 63.5 49 .4 59.8 29.2 19.7 25.5 9.6 15.3

Female 18-29 yrs 1,421 77.6 73.8 44 .4 20 .6 26.1 20.6 15.8 7 .5

Female 30-39 yrs 1,492 76.8 74.6 44 .9 22.9 21.0 20.8 12.7 9.0

Female 40-49 yrs 1,846 74.1 75.8 47.8 21.7 21.2 20.4 13.8 9.2

Female 50-59 yrs 1,517 68.8 71.6 51.1 27.3 24.3 21.4 9.8 9.1

Female 60 yrs or older 4,571 57 .3 49 .9 61.9 33.1 31.9 22.1 7.8 12.8

Kanto 11,896 66.7 63.6 54.0 25.8 22.3 22.4 10.9 12.1

Kansai 5,798 68.4 62.9 51.0 25.7 23.5 20.7 10.7 13.1

Tokai 3,169 69.7 65.6 49.6 25.7 22.7 20.7 10.9 12.6

Have traveled overseas every year for the last 3 years 948 62.8 75.3 83.2 31.5 19.7 18.0 9.5 ―

Have traveled overseas once during the last 3 years 3,821 70.7 76.5 67.0 27.0 26.3 19.2 12.2 0 .5

Have not traveled overseas during the last 3 years but have traveled overseas before 9,173 72.4 68.4 54.2 27.3 24.7 23.1 11.9 6 .6

Have not traveled overseas in 2016 or before 6,922 60 .2 48 .8 38 .1 22.2 18.4 21.7 8.9 28.5



Sex

Area of

residence

By most recent

travel situation

Sex & age

0

20

40

60

80

2017 survey total

（％）

Issue :JULY 2017

AB-ROAD Research Center, Travel Information Div. Recruit Lifestyle Co.,Ltd.GranTokyoSOUTHTOWER,1-9-2 MarunouchiChiyoda-ku Tokyo, JapanCopyright(C) Recruit Lifestyle Co.,Ltd.

2017 overseas travel survey...2017/07/06 · reasons for selection of package tour 53 3. source of...

Documents