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https://www.statista.com/statistics/1181024/japan-monthly-number-of-tourists-in-kyoto/

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독일 직업은 어떤 게 있을까? 직종별 평균 월급은 얼마나 될까? 독일에서 인기 있는, 혹은 흔한 직업 100개의 월급을 알아보자. 독일에서 임금 현황을 조사할 때는 평균보다 중간값 을 많이 사용한다. 평균의 경우 매우 높거나 낮은 임금이 있어 수치에 왜곡이 있을 수 있기 때문이다.

다음 표는 독일 내 직업 100개의 월급 중간값이다. 자신의 직종에서 저 정도로 받고 있다면, 중간 수준으로 받고 있다는 걸 의미한다. 더 많이 버는 사람도, 더 적게 버는 사람도 있다.

한국에서 단순히 '사무직'으로 퉁치는 회사 업무도 특정한 '직업'으로 분류된 것이 인상적이다. 사무직도 부서 및 담당 업무마다 직업훈련(아우스빌둥)이 세분화되어 있다. 독일의 직업명을 알아보는 재미도 쏠쏠하다.

독일 직종/직업별 월급

의사 Arzt/Ärztin

mehr als 5.400 Euro

파일럿 Pilot/-in

mehr als 5.400 Euro

변호사 Rechtsanwalt/-anwältin

mehr als 5.400 Euro

세무사 Steuerberater/-in

mehr als 5.400 Euro

회사 컨설팅 Unternehmensberater/-in

mehr als 5.400 Euro

경영공학자 Wirtschaftsingenieur/-in

mehr als 5.400 Euro

공인회계사 Wirtschaftsprüfer/-in

mehr als 5.400 Euro

정보기술사 Informatiker/-in

5.400 Euro

전기기술 엔지니어 Ingenieur/-in Elektrotechnik

5.400 Euro

IT 프로젝트 매니저 IT-Projektleiter

5.400 Euro

회계 관리인 Controller/-in

5.345 Euro

법률공증인 Notar/-in

5.021 Euro

중고등학교 교사 Lehrer/-in Gymnasium

4.883 Euro

생물학자 Biologe/-in

4.744 Euro

소프트웨어 엔지니어 Softwareingenieur/-in (Master)

4.723 Euro

건축 엔지니어 Bauingenieur/-in

4.638 Euro

마케팅 매니저 Marketing Manager/-in

4.623 Euro

소셜미디어 관리자 Social Media Manager/-in

4.623 Euro

은행 직원 Bankkaufmann/-frau

4.564 Euro

산업기계 엔지니어 Maschinenbau-Ingenieur/-in

4.469 Euro

시스템 관리자 Systemadministrator/-in

4.438 Euro

보험 판매직원 Versicherungskaufmann/-frau

4.348 Euro

프로그래머 Programmierer/-in

4.294 Euro

(신문/잡지) 편집자 Redakteur/-in

4.283 Euro

구매담당자 Einkäufer/-in

4.267 Euro

심리학자 Psychologe/-in

4.227 Euro

키 어카운트 매니저/유통담당자 Key Account Manager/-in

4.220 Euro

약사 Apotheker/-in

4.111 Euro

PR 매니저 PR-Manager/-in

4.052 Euro

배 기관사 Schiffsmechaniker/-in

4.020 Euro

초등학교 교사 Lehrer/-in Grundschule

4.016 Euro

물류담당자 Logistiker/-in

3539 Euro

영상/영화 편집자 Cutter/-in

3.953 Euro

지점장 Filialleiter/-in

3.860 Euro

건축사 Architekt/-in

3.748 Euro

HR 담당자 Personalsachbearbeiter/-in

3.659 Euro

화학기술 보조 Chemisch-technische/-r Assistent/-in

3.622 Euro

산업설비 기계 기술자 Industriemechaniker/-in

3.616 Euro

금속 세공자 Metallarbeiter/-in

3.474 Euro

IT 설비기술자 Elektroniker/-in IT

3.473 Euro

마케팅 보조 Marketing Assistent/-in

3.406 Euro

회계담당 직원 Buchhalter/-in

3.383 Euro

경영학자 (직업훈련) Betriebswirt/-in (Ausbildung)

3.348 Euro

산업체 관리 담당 직원 Industriekaufmann/-frau

3.348 Euro

행정 전문직원 Verwaltungsfachangestellte/-r

3.311 Euro

이벤트 매니저 Eventmanager/-in

3.303 Euro

전기기사 Elektromechaniker/-in

3.245 Euro

간호사 Krankenschwester/-pfleger

3.239 Euro

약학기술 실험실 보조 Medizinisch-technische/-r Laborassistent/-in

3.213 Euro

교육자 Erzieher/-in

3.139 Euro

설계사 Technische/-r Zeichner/-in

3.137 Euro

굴삭기 기사 Baggerführer/-in

3.106 Euro

도로 건설기사 Straßenbauer/-in

3.106 Euro

사무직 Bürokaufmann/-frau

3.035 Euro

사무실 커뮤니케이션 담당자 Fachangestellter/Fachangestellte für Bürokommunikation

3.035 Euro

비서 Sekretär/-in

3.035 Euro

운송회사 직원 Speditionskaufmann/-frau

3.031 Euro

사회복지사 Sozialarbeiter/-in

3.026 Euro

메카트로닉스 기사 Mechatroniker/-in

3.007 Euro

그래픽 디자이너 Grafikdesigner/-in

3.002 Euro

도매상 판매직원 Großhandelskaufmann/-frau

2.911 Euro

벽돌 시공자 Maurer/-in

2.902 Euro

목수 Zimmerer/Zimmerin

2.870 Euro

전기 설치기사 Elektroinstallateur/-in

2.833 Euro

미디어 디자인 (웹/인쇄) Mediengestalter/-in Digital und Print

2.829 Euro

자동차 정비사 KFZ-Mechaniker/-in

2.810 Euro

지붕 작업자 Dachdecker/-in

2.802 Euro

주조공(대장장이) Schmied/-in

2.787 Euro

타일 시공자 Fliesenleger/-in

2.750 Euro

가스 및 수도 설치기사 Gas- und Wasser-Installateur/-in

2.740 Euro

락커 시공자 Lackierer/-in

2.735 Euro

하우스 관리인 Hausmeister/-in

2.698 Euro

물류 관리인 Disponent/-in (Lager)

2.662 Euro

버스기사 Busfahrer/-in

2.640 Euro

요양사 Altenpfleger/-in

2.621 Euro

페인트 시공자 Maler/-in

2.567 Euro

세무소 직원Steuerfachangestellter/-in

2.542 Euro

지게차 운전사 Gabelstaplerfahrer/-in

2.485 Euro

전문 교사 Fahrlehrer/-in

2.455 Euro

치기공사 Zahntechniker/-in

2.414 Euro

운수업 기사 Berufskraftfahrer/-in

2.345 Euro

보안요원 Sicherheitsdienst

2.304 Euro

소매점 판매직원 Einzelhandelskaufmann/-frau

2.277 Euro

판매직원 Verkäufer/-in

2.277 Euro

언어치료사 Logopäde/-in

2.229 Euro

물리치료사 Physiotherapeut/-in

2.192 Euro

의사 보조 Arzthelfer/-in

2.157 Euro

소매점 계산 직원 Kassierer/-in im Einzelhandel

2.079 Euro

창고 직원 Lagerarbeiter/-in

2.070 Euro

요리사 Koch / Köchin

2.029 Euro

프론트 안내인 Empfangskraft

1.979 Euro

호텔 직원 Hotelfachmann/-frau

1.979 Euro

건물 청소인 Gebäudereiniger/-in

1.885 Euro

콜센터 직원 Callcenter-Agent/-in

1.872 Euro

가사도우미 Haushaltshilfe

1.793 Euro

청소노동자 Reinigungskraft

1.717 Euro

식당 서비스 직원 Kellner/-in

1.685 Euro

제과점 직원 Bäckereifachverkäufer/-in

1.657 Euro

미용사 Friseur/-in

1.498 Euro

출처: Entgeltatlas der Bundesagentur für Arbeit (Median-Gehalt), gehalt.de (Gehaltsspanne)

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독일 직업은 어떤 게 있을까? 직종별 평균 월급은 얼마나 될까? 독일에서 인기 있는, 혹은 흔한 직업 100개의 월급을 알아보자. 독일에서 임금 현황을 조사할 때는 평균보다 중간값 을 많이 사용한다. 평균의 경우 매우 높거나 낮은 임금이 있어 수치에 왜곡이 있을 수 있기 때문이다. 다음 표는 독일 내 직업 100개의 월급 중간값이다.

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출처 : 서울특별시 종로구,「서울특별시종로구기본통계」

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서울 실시간 도시데이터란?

서울시 주요 50장소에 대한 분야별(실시간 인구, 도로소통, 대중교통, 날씨/환경, 코로나19) 실시간 정보들이 융합된 데이터

※ 각 분야의 데이터를 별도 수집/연계하지 않고 통합하여 활용 가능합니다.

서울 실시간 도시데이터

*각 분야별 데이터의 자세한 갱신 주기는 데이터 매뉴얼을 확인해주세요.

FAQ

Q　서울 실시간 도시데이터를 개발한 이유는 무엇입니까?

└ A　서울 실시간 도시데이터 개발의 초기 목적은, 많은 사람들이 몰리는 시간과 장소를 실시간으로 식별함으로써 감염병 예방을 위한 객관적인 데이터를 확보하는 것이었습니다.
서울 실시간 도시데이터에는 인구 뿐 아니라 교통, 환경 등 각 분야의 실시간 데이터가 포함되어있기 때문에, 방역 뿐 아니라 일상생활 또는 관광에서도 시의성 있는 데이터를 제공할 수 있을 것으로 생각됩니다.

Q　실시간 인구 데이터는 흔히 사용되는 유동인구 데이터와 어떤 차이가 있습니까?

└ A　유동인구 데이터는 정밀한 보정 과정을 통해 상대적으로 높은 정확도를 기대할 수 있지만, 대개 집계단위가 1시간 이상이기 때문에 시시각각 변하는 인구의 추이를 살펴보는 것은 어렵습니다.
실시간 인구 데이터는 5분 단위 집계를 통해 비교적 짧은 주기로 인구의 변화를 살펴볼 수 있고, 데이터 생산, 집계 방식 등 고도화를 통해 정확도를 지속적으로 제고하고 있습니다.

데이터 출처

실시간 인구 데이터

도로소통 데이터

대중교통 데이터

환경 데이터

코로나19 데이터

]

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서울 실시간 도시데이터

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서울시 주요 50장소에 대한 분야별(실시간 인구, 도로소통, 대중교통, 날씨/환경, 코로나19) 실시간 정보들이 융합된 데이터 ※ 각 분야의 데이터를 별도 수집/연계하지 않고 통합하여 활용 가능합니다. 서울 실시간 도시데이터 *각 분야별 데이터의 자세한 갱신 주기는 데이터 매뉴얼을 확인해주세요. Q　서울 실시간 도시데이터를 개발한 이유는 무엇입니까?

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서울 종로구 | 2023 대한민국 사회안전지수

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머니투데이는 매년 성신여대 데이터사이언스센터, 여론조사기관 케이스탯리서치, 온라인패널 조사기업 피앰아이와 공동으로 사회안전지수를 제공합니다.

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사회 도시 탐구 .

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제목을-입력해주세요_ (2)

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https://docs.google.com/presentation/d/1RgvCVNjnbDYdZ0AebqvPqbV08T2Qwd59GT7BP3W5lq8/edit#slide=id.g115414e4555_0_0

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Quality of Life > Austria > Vienna

Index

Quality of Life Index:

201.71

Minimum contributors for an underlying section: 130

Maximum contributors for an underlying section: 544

Last update: May 2023

Sign Up for Our Newsletter:

Nearby cities:

This page in other languages:

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Quality of Life > Austria > Vienna Index Quality of Life Index: 201.71 Minimum contributors for an underlying section: 130 Maximum contributors for an underlying section: 544 Last update: May 2023 Sign Up for Our Newsletter: Nearby cities: This page in other languages:

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Quality and satisfaction with the health care system in Vienna estimated through surveys about skills and competency, speed, equipment, accuracy and completeness, friendliness and courtesy, responsiveness, convenience of location, cost to you, medical insurance, ...

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A lovely place to visit and live, sun-kissed San Diego is often called ‘America’s Finest City’ and it is easy to see why. Besides boasting a huge stretch of scenic coastline, the city is blessed with natural beauty, a mild southern California climate, and is famed for its laidback vibe and surfer

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Crime > Austria > Vienna

Index

Crime Index:

25.92

Safety Index:

74.08

Crime rates in Vienna, Austria

Safety in Vienna, Austria

Contributors: 410

Last update: August 2021

These data are based on perceptions of visitors of this website in the past 3 years.

If the value is 0, it means it is perceived as very low, and if the value is 100, it means it is perceived as very high.

Nearby cities:

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Crime > Austria > Vienna Index Crime Index: 25.92 Safety Index: 74.08 Contributors: 410 Last update: August 2021 These data are based on perceptions of visitors of this website in the past 3 years. If the value is 0, it means it is perceived as very low, and if the value is 100, it means it is perceived as very high.

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서울시, 실태조사 결과...평균 5일간 머물며 쇼핑·식도락 즐겨

서울을 찾은 외국인 관광객 [연합뉴스 자료 사진]

(서울=연합뉴스) 이태수 기자 = 서울을 찾는 외국인 관광객은 평균 5일 동안 머무르면서 쇼핑과 식도락을 즐기는 것으로 조사됐다. 이들이 가장 즐겨 찾는 장소는 명동과 N서울타워로 나타났다.

서울시는 전문조사기관 '닐슨코리아'에 의뢰해 지난해 1∼12월 외국인 관광객 6천 명을 면접 조사한 결과 이처럼 나타났다고 12일 밝혔다.

외국인 관광객의 평균 체류 기간은 지난해 5.0일로, 2016년 4.9일보다 소폭 증가했다. 재방문율 역시 41.7%에서 44.3%로 올라갔다.

시는 "중국인 관광객 재방문율은 37.8%에서 46.9%로 10%포인트 이상 큰 폭으로 상승했다"며 "일본인 재방문율은 69.6%에서 69.5%로 전년도와 유사한 수준이었다"고 설명했다.

외국인 관광객은 가장 좋았던 관광 활동을 묻는 질문에 쇼핑(79%)과 식도락 관광(59.1%)을 주로 꼽았다. 한류문화체험은 6.3%로 나타났다.

이들은 명동(85.2%), N서울타워(56.5%), 4대 고궁(55%)을 많이 찾았다. 이어 롯데면세점(51.5%), 롯데백화점(48.7%), 동대문시장(45.7%), 인사동과 삼청동(40%), DDP(37%) 등 순이었다.

외국인 관광객 서울 시내 방문지 [서울시 제공=연합뉴스]

외국인 관광객의 주요 '쇼핑 장소'는 예년과 마찬가지로 시내 면세점(52.2%)으로 나타났다. 그 뒤는 전통시장이 48.2%를 차지해 백화점(44%)을 앞질렀다.

시는 "외국인 관광객의 패턴이 단순히 둘러보는 '유람형'에서 보고 듣고 느끼는 '체험형'으로 바뀜에 따라 지역의 독특한 특성을 가진 장소이자 시민의 살아있는 이상을 경험할 수 있는 전통시장이 관광 명소로 부상하고 있다"고 설명했다.

숙박 시설은 호텔이 71.6%로 여전히 높은 비중을 차지했다. 교통수단으로는 지하철이 58.1%로 가장 높았다.

서울 관광 만족도는 5점 만점에 2015년 4.14점, 2016년 4.15점, 지난해 4.16점으로 꾸준히 상승했다. 치안과 대중교통이 높은 평가를 받았고, 언어 소통과 여행 경비는 상대적으로 점수가 낮았다.

스마트폰 등의 보급으로 관광객 스스로 지역 정보를 찾아내면서 관광 안내서비스 이용률이 2016년 35.2%에서 지난해 28.8%로 6.4% 포인트 내려간 점도 눈길을 끌었다.

한편, 외국인 관광객에게 서울의 이미지를 물어본 결과 '다양한 모습을 지닌 매력적인 도시'로 조사됐다.

시는 "이번 조사 분석 결과를 외국인 관광객의 불편한 점을 없애는 토대로 삼고, 시 관광 정책의 중요한 자료로 활용할 것"이라고 전했다.

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외국인 관광객, 서울서 많이 찾은 곳은 명동·N서울타워 | 연합뉴스

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서울시, 실태조사 결과...평균 5일간 머물며 쇼핑·식도락 즐겨 (서울=연합뉴스) 이태수 기자 = 서울을 찾는 외국인 관광객은 평균 5일 동안 머무르면서 쇼핑과 식도락을 즐기는 것으로 조사됐다. 이들이 가장 즐겨 찾는 장소는 명동과 N서울타워로 나타났다. 서울시는 전문조사기관 '닐슨코리아'에 의뢰해 지난해 1∼12월 외국인 관광객 6천 명을 면접 조사한 결과 이처럼 나타났다고 12일 밝혔다.

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San Diego July 4th Fireworks on San Diego Bay - Big Bay Boom | San Diego July 4th fireworks Big Bay Boom

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San Diego State University
Center for Hospitality and Tourism Research

The Center for Hospitality Research in the L. Robert Payne School of Hospitality and Tourism Management has conducted economic impact assessment for the better part of 2 decades at the local and national level. Tourism and economic impact studies have been provided for small concerts, fairs and tournaments up through national organizations such as the NCAA College Bowl Game Association.

Mark R. Testa, Ph.D.
Dr. Testa is an award winning, internationally recognized business and hospitality management educator and researcher with over 15 years of management experience and 35 years of teaching and research experience. Dr. Testa conducts tourism and economic impact assessments regularly with some 20 projects per year. Current and past clients include the National Bowl Game Association, US Open Golf, America's Cup, San Diego Tourism and Marketing District (SDTMD), Balboa Park, San Diego Pride, Holiday Bowl, and San Diego Food Bank. Other consulting clients include IBM, Princess Cruise Lines, Carnival Cruise Lines and the Miami Heat.

Christina Hilmer, Ph.D.
Tia Hilmer has been on faculty in the Department of Economics at San Diego State University for over 17 years and a full professor for over 11 years. She holds a joint Ph.D. in Economics and Statistics from North Carolina State University, a Master's degree in Statistics from North Carolina State University, and a Bachelor's degree in Mathematical Economics from University of California, Santa Barbara. She has published 25 journal articles, 13 of which are in top field or general interest journals, and in 2014 she published a co-authored McGraw Hill textbook, Practical Econometrics: Data Analysis, Analysis and Application. Along with Mark Testa and Carl Winston, she has generated economic impact reports for many popular San Diego sporting events including the Holiday and Poinsettia Bowls, U.S. Open, San Diego Rock and Roll Marathon, as well as non- sporting events such as San Diego Pride and Balboa Park.

Carl Winston
Carl Winston has 40 years of experience in a variety of senior executive level hospitality, event and tourism industry positions in academia and the "real world." He is the founding Director of the L. Robert Payne School of Hospitality & Tourism Management at San Diego State University. He also owns Real World Academics a firm that conducts projects from economic impact studies, talent acquisition and strategy to acquisition and development for small companies and large, including Disney, Marriott, Four Seasons, American Hotel & Lodging Association and Meeting Professionals International.

He also owns Real World Academics a firm that conducts projects from economic impact studies, talent acquisition and strategy to acquisition and development for small companies and large, including Disney, Marriott, Four Seasons, American Hotel & Lodging Association and Meeting Professionals International.

Executive Summary

The following report estimates the economic impact on San Diego County of the Big Bay Boom Fireworks show which took place at 9:00 pm July 4, 2022. The report uses an attendance estimate, a survey of non-local attendees and the Regional Input-Output Modeling System (RIMS II) ¹ multiplier to determine total economic impact. For the purposes of this report, total economic impact is defined as the expenditure of money from sources outside the San Diego area which resulted from hosting the events. Both direct economic impact from nonlocal attendees, such as spending on lodging, shopping and entertainment, and food and beverage is used to determine the total economic impact, as well as indirect impact which includes additional business generated in the local area resulting from Big Bay Boom activities.

The total economic impact on San Diego County for the fireworks is largely dependent on attendance which is discussed in the methodology section. Given the lack of a scientific estimate of attendance, an informal total provided by the Harbor Police was used as a range from 200,000-300,000 individuals. For the purposes of this study, 200,000 is viewed as the low total, 300,000 as the high total and the 250,000 as the most likely total. The EI is estimated at from $59.6 million-$89.3 million depending on the attendance total achieved with $74.4 million at 250,000 attendees. The total is comprised of between $30.9 million-$46.3 million of direct impact and from $28.7 million-$43 million of indirect impact. This EI is the result of some 34% attendees reporting they are non-local.

Some 42% non-local attendees came to San Diego for the primary purpose of attending the fireworks. An estimated 64% of this non-local group stayed in a hotel during their visit with an average of 4.8 room nights at $248.85 per night. An estimated 30,359-45,538 hotel room nights were sold during the event.

In addition to the direct and indirect impacts listed above, Big Bay Boom generated tax revenue for the city of San Diego. The transient occupancy tax of 10.5% generated revenue of between $793,247-$1,189,871. The San Diego portion of sales tax on food and beverage, entertainment and shopping is estimated at between $582,624-$873,936. The title sponsor of the fireworks, the Port of San Diego contributed some $383,500 to cover a variety of costs. With tenant revenue ranging from $4,554,410-$6,31,414 the ROI ranged from 11.88:1-17.81:1. Put simply, for every dollar the Port provided in sponsorship, it yielded back between approximately $12-$18 in tenant revenue. Past study ² looked at Port Sponsorship costs in relationship to Port Rent which generated approximately 78 cents for every dollar. The totals here illustrate a much greater return in comparison with the impact of BBB on local businesses.
Big Bay Boom Summary Chart (Table 1)
Data Collection Methodology
The Survey

An intercept-survey of spectators was conducted just before the fireworks began. The goal of the survey was to assess visitor characteristics and spending patterns for non-local attendees in particular. A 23-item survey was designed specifically for use at BBB by SDSU researchers. These surveys have been used successfully over the past 12 years for a variety of cultural and sporting events. Items on the survey included questions regarding visitor place of residence, lodging accommodations, expenditures, travel accommodations and basic demographics. If a respondent indicated their place of residence as San Diego, they were only asked demographic related questions.

To collect responses to the survey items, face-to-face interviews were conducted with randomly-selected attendees. A team of 20 interviewers and 3 supervisors were trained extensively on the data collection process to minimize response bias. The goal of the survey was to gain as accurate a picture as possible of attendee behavior. A training session was conducted which provided detailed item discussion, interview practice and role playing, as well as a Q&A session. Particular attention was paid to ensuring valid and reliable responses. Anonymity of the responses was ensured by the interviewers and participation was completely voluntary.

The data collectors were assigned strategic locations around the fireworks including teams at the Embarcadero, Shelter Island and Harbor Island. Data were collected immediately before the fireworks began.

The Responses

A total of 541 interviews were conducted for Big Bay Boom. Using a 95% confidence level and 5% margin of error, the sample size estimated is 387. The total 541 surveys represents an almost 40% increase and a reasonable sample for the current study.
Attendance

The attendance number is vital in estimating economic impact. For the 2022 event, no official or scientific assessment of attendance was conducted due to the very large and multifaceted nature of attendance, the geographic spread of this particular event. While the Harbor Police conducted and informal assessment of attendance and deemed it a "medium" sized event relative to past years, no verifiable measure was available to support the attendance total estimated. Based on this, a conservative range was used based on the Harbor Police estimate of 250,000 total individuals attending.

Big Bay Boom Analysis

Economic Impact Estimate of Big Bay Boom Fireworks

Big Bay Boom Fireworks take place on July 4th on San Diego Bay. The show is visible from Shelter Island in the north west all the way to the South Embarcadero in the south west part of the city. Beginning at 9:00 pm, the fireworks shoot off from barges around the bay.

The resulting economic impact of visitors to San Diego was estimated using attendance figures, a survey of non-local attendees and the RIMS II economic multiplier³ to determine total economic impact. Total economic impact is defined as the expenditure of money from sources outside the San Diego area which resulted from hosting the event. Both direct economic impact from non-local attendees, such as spending on lodging, shopping and entertainment, and food and beverage is used to determine the total economic impact, as well as indirect impact which includes additional business generation in the local area resulting from the events.

The following tables provide an overview of Big Bay Boom's estimated economic impact based on attendance:

Non-local respondents spent an average of $135.00 on food and beverage during their stay with a daily median of $100.00 per day. In addition, non-locals spent an average of $78.00 on shopping and a median of $20.00 per day. Finally, the average spent on entertainment was $109.00 during their stay with a daily median of $50.00.

Finally, many of the surveyed non-local attendees planned to attend other attractions in the San Diego area:

Other Attractions Planned to Visit
While in San Diego
(Among those staying one night or more in San Diego)
Attendance

Of the 200,000-300,000 estimated attendees, an estimated 34% were non-local attendees.

Some 42% of the non-local respondents reported that Big Bay Boom was their main reason for visiting San Diego.

Attendees came from various locations:

Accommodations

Of the 42% whose main reason for traveling to San Diego, some 64% stayed in a hotel during their visit with an average of 4.8 room nights at $248.85 per night. The survey indicates the average daily rate (ADR) for this event was $248.85 per night.

Between 30,359-45,538 spectator hotel room nights were sold during the event.

Visitor Demographics & Profile

Additional demographic information was collected during the event for both local and non-local attendees. The following charts provide an overview of each demographic question. Following the charts, a summary profile is provided.
A. How do you identify yourself? B. Age of Respondents C. Income D. Marital Status E. Number of Children F. Education Level
Port Return on Investment (ROI)

The Port of San Diego is the title sponsor of the Big Bay Boom fireworks. As part of the impact of the event, an assessment of return on those sponsor dollars was conducted. First, Hotel impacts were calculated followed by a breakdown of estimated retail and restaurant sales and the corresponding ROI.
Hotel Stays

Some 37.5% of the total hotel rooms generated as a result of the fireworks were at Port Tenant Hotels. Based on the survey data, a range of room nights were generated from 11,385 -17,077 with the midrange estimate at 14,231. Primary hotels used for the event include Hilton San Diego Bayfront, Sheraton San Diego Hotel & Marina (Marina Tower), Sheraton San Diego Hotel & Marina (Bay Tower), Hilton San Diego Airport Hotel, and Kona Kai Resort.

While the Average Daily Rate (ADR) for all hotels booked during the fireworks was $248.85, the ADR for Port properties was significantly higher at $333.55 or 34% higher. The resulting hotel revenue is shown below in Table 7.

Port Revenue

An estimate of Port Revenue was conducted using primary survey data and secondary data from previous studies.⁴ Proportions of hotel, retail and restaurant funding were calculated and extrapolated using the range of attendance numbers previously discussed. Table 8 shows the range of Port revenue generated by attendance.
Port Funding

As the title sponsor for the Big Bay Boom Fireworks some $213,500 ⁵ in sponsorship funding was provided in 2022. These funds were primarily used for production-related expenses such as pyrotechnic services, barges, tugboats, regulatory fees and technical services. In addition, some $170,000 was provided for event-related services such as park maintenance and clean up, additional security and traffic control, on-bay safety patrols and portable toilets. The Port's total sponsorship for the 2022 Big Bay Boom totaled $383,500.
ROI

Return on investment is the relationship between Port dollars used to support the Big Bay Boom Fireworks and the dollars generated as a result. In other words, for every dollar invested, X dollars were generated. Table 9 shows the varying ROI based on the range of attendance numbers. As an interpretation, at totals generated for 250,000 attendees, the Port of San Diego received almost $15.00 for each dollar used to sponsor the Big Bay Boom Fireworks.

To provide context when comparing the current ROI numbers to past study, the following example shows the difference. First, the previous study looked at ROI as the relationship of Port Sponsorship of BBB to Port Rents collected during that time. In the 2018 study, it was determined that 78 cents was generated for every dollar spent by the Port. In contrast, the current study looks at total revenue generated by the businesses that make up the Port area. These tenants are the direct beneficiaries of the increase in business which in turn benefits the Port. The result is between approximately $12-$17 for every dollar spent or more than 12-17x greater.

Media

Television and online coverage of the fireworks provides tremendous exposure for the Port of San Diego, its properties and tenants. The following graphic provided by Nielsen NLTV San Diego and Fox 5 San Diego illustrates a portion of that impact.⁶

References

¹ https://www.bea.gov/news/blog/2020-08-03/bea-updates-regional-economic-tool

² The Big Bay Boom: A Study of Its Economic Impact. Fermanian Business and Economic Institute at PLNU 2018, 2012.

⁴ The Big Bay Boom: A Study of Its Economic Impact. Fermanian Business and Economic Institute at PLNU 2018, 2012.

⁵ Figures provided by Port of San Diego Staff

⁶ Nielsen NLTV San Diego, Los Angeles, Sacramento, Fresno L+SD Nielsen national ratings 7/4/22 9-930p 56 metered market Streaming: Google analytics 8-10p fox5sandiego.com
Read the full EIR report here
For interest in supporting the Port of San Diego's Big Bay Boom July 4 th Fireworks Show benefiting the Armed Services YMCA, please contact H. P. "Sandy" Purdon, Executive Producer at 619-822-1177 or Send email.

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2022 Big Bay Boom Economic Impact Estimate | San Diego July 4th Fireworks on San Diego Bay - Big Bay Boom

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The Center for Hospitality Research in the L. Robert Payne School of Hospitality and Tourism Management has conducted economic impact assessment for the better part of 2 decades at the local and national level.

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세계에서 가장 범죄율이 낮은 나라 순위 top 10 (가장 안전한 국가)

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세계에서 가장 범죄율이 낮은 나라 순위 top 10세계에서 가장 안전한 국가 순위 1001. 싱가포르 지구상에서 가장 안전한 나라. 초소형 싱가포르에는 인구 530 만명이 살고있는 지역으로 로드 아일랜드 (인구 100 만 명)보다 약 4 배 작은 나라입니다. 이렇게 미친 수준의 인구 밀집으로 인해, 여러분은 상황이 빠르게 폭력과 분노로 바뀔 것으로 생각할 수 있습니다. 그러나 2011 년에는 불과 16 명만이 살해되었습니다. 2015 년과 2016 년에는 모든 형태의 폭력 범죄와 절도가 10 년 또는 20 년 만에 최저 수준을 기록…

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데이터로 보는 도시_지금 우리 도시는

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전 세계에서 가장 살기 좋은 도시는 어디일까요?

우라나라 서울은 백점 만점에 몇 점짜리 도시일까요?

또 가장 살기 힘든 도시는 어디일까요?

영국의 한 싱크탱크가 이 궁금증을 풀어낼 조사결과를 발표했습니다.

[서울 100점 만점에 80점 받아]
영국 이코노미스트의 자매회사인 경제분석 기관 이코노미스트 인텔리전스 유닛이 현지시간 22일 발표한 보고서에 따르면 서울은 100점 만점에 80점대를 받았습니다.

이는 전 세계 주요 도시 중 평가 대상으로 꼽힌 173곳 가운데 60위권에 해당하는 수준입니다.

아시아와 호주 등으로만 지역을 좁히면 12위에 해당합니다.

[가장 살기 좋은 도시 1위는 오스트리아의 빈]
세계에서 가장 살기 좋은 도시 1위로는 오스트리아의 빈이 이름을 올렸습니다.

그 뒤를 덴마크의 코펜하겐, 스위스의 취리히, 캐나다의 캘거리, 역시 캐나다의 밴쿠버, 스위스의 제네바 등이 이었습니다.

아시아권에서 수위를 차지한 일본의 오사카와 호주의 멜버른도 전 세계 기준으로 10위권에 들었습니다.

[상위 10개국 중 유럽이 6곳 이름 올려]
상위 10위권을 지역별로 보면 유럽 6곳, 캐나다 3곳, 아시아·태평양 2곳입니다.

지난해 아시아·태평양 도시가 8곳으로 압도적이었던 것과 비교하면, 유럽과 미주 지역 도시가 크게 약진한 것입니다.

[코로나19 완화로 일상회복되면서 순위 뒤바뀌어]
코로나19 완화로 봉쇄 조처가 대거 해제되면서 유럽과 미주 지역 도시가 문화·환경·의료 등 평가 지표에서 높은 점수를 받았다고 보고서는 설명했습니다.

실제 지난해 평가에서 12위에 머물렀던 `문화예술의 도시` 빈은 올해 박물관과 식당 등 재개장 등 영향으로 2018∼2019년에 이어 가장 높은 위치를 회복했습니다.

프랑크푸르트(39→7위), 함부르크(독일·47→16위), 뒤셀도르프(독일·50→22위), 런던(영국·60→33위) 등 다른 유럽 도시들의 상승도 두드러졌습니다.

정반대로 웰링턴(뉴질랜드·4→50위), 오클랜드(뉴질랜드·1→34위), 애들레이드(호주·3→30위), 퍼스(호주·6→32위) 순위는 곤두박질쳤습니다.

보고서는 "뉴질랜드와 호주 도시들은 백신 접종 인구가 늘어난 유럽이나 캐나다 도시와 비교해 더는 방역 등에서 우위에 있지 않게 됐다"며 "게다가 호주의 몇몇 도시는 봉쇄를 다소 늦게 풀면서 순위가 하락했는데, 이는 정책을 유연하게 조정하는 게 평가에 도움된다는 뜻"이라고 분석했습니다.

[가장 살기 힘든 도시 1위는 시리아 다마스쿠스]
가장 살기 힘든 도시로는 시리아의 다마스쿠스, 나이지리아의 라고스, 리비아의 트리폴리 등이 꼽혔습니다.

이들 도시는 대체로 의료와 교육 측면에서 형편없는 점수를 받았습니다.

다마스쿠스는 기관이 온라인을 통해 순위를 공개한 2013년부터 줄곧 '지구상에서 가장 살기 힘든 도시'라는 오명을 쓰게 됐습니다.

이번 평가에서는 2020년 항구 폭발 사고를 겪은 레바논 베이루트와 전쟁 중인 우크라이나의 키이우가 빠졌다고 보고서는 덧붙였다.

이번 조사는 올해 2월 14일부터 한 달간 세계 173개 도시를 대상으로 안정성, 보건, 문화와 환경, 교육, 기반시설 등을 분석했습니다.

범죄, 테러, 사회불안, 의료서비스 접근도, 부패 수준, 식품이나 소비재 공급, 공교육과 사교육 수준 등 30여 개 지표를 정성, 정량적으로 평가해 종합순위를 산정했습니다.

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전 세계에서 가장 살기 좋은 도시는 어디일까요? 우라나라 서울은 백점 만점에 몇 점짜리 도시일까요? 또 가장 살기 힘든 도시는 어디일까요? 영국의 한 싱크탱크가 이 궁금증을 풀어낼 조사결과를 발표했습니다. [서울 100점 만점에 80점 받아] 영국 이코노미스트의 자매회사인 경제분석 기관 이코노미스트 인텔리전스 유닛이 현지시간 22일 발표한 보고서에 따르면 서울은 100점 만점에 80점대를 받았습니다.

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[그래픽] 시리아 내전 사망자 추이 | 연합뉴스

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(서울=연합뉴스) 김토일 기자 = 시리아에서 일어난 화학무기 공격을 계기로 바샤르 알 아사드 시리아 정권의 잔혹행위 정황이 서방언론에서 재조명되...

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도쿄의 치안 정보 - LIVE JAPAN ( 일본여행·추천명소·지역정보 )

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일본은 다른 나라에 비해 비교적 범죄가 적고 치안도 좋은 편이다. 따라서 여성 혼자라도 안전하게 여행할 수 있는 나라라고도 할 수 있다. 혼자여행이 늘어가는 요즘에 도쿄의 치안에 대해 가볍게 살펴본다.

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1995 - 2019 | Yearly | Person | CEIC Data

Key information about Syria Visitor Arrivals

Syria Visitor Arrivals recorded 2,424,000 person in Dec 2019, compared with 1,802,000 person in the previous year

Syria Visitor Arrivals data is updated yearly, available from Dec 1995 to Dec 2019

The data reached an all-time high of 10,970,000 person in Dec 2010 and a record low of 1,043,000 person in Dec 2016

The World Bank provides annual Tourist Arrivals.
View Syria's Visitor Arrivals from 1995 to 2019 in the chart:

What was Syria's Visitor Arrivals in 2019?

Syria Visitor Arrivals recorded 2,424,000 person in Dec 2019, compared with 1,802,000 person in the previous year See the table below for more data.

Visitor Arrivals by Country Comparison

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1995 - 2019 | Yearly | Person | CEIC Data Key information about Syria Visitor Arrivals Syria Visitor Arrivals recorded 2,424,000 person in Dec 2019, compared with 1,802,000 person in the previous year Syria Visitor Arrivals data is updated yearly, available from Dec 1995 to Dec 2019 The data reached an all-time high of 10,970,000 person in Dec 2010 and a record low of 1,043,000 person in Dec 2016 The World Bank provides annual Tourist Arrivals.

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독일 독일 초중고교에 이주 배경 학생 비율

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National & migrant population by school education Germany 2021 | Statista

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In 2021, 21.6 percent of the population with a migrant background had a secondary or elementary school education.

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교토의 관광객 그래프 

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교토의 관광객 그래프 

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미래캔버스나 캔바로 작업해주셔도 좋고, 이 양식을 다운받아서 활용하셔도 됩니다.

다운로드 방법
- 파일을 클릭한 후 우측에 점 3개를 누르면 첨부파일 다운로드가 있습니다.

# data[].attributes.body
https://www.pref.kyoto.jp/kanko/research/1report.html

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令和元年の京都府内における観光入込客数等について、地元市町村と連携した観光振興の取組や受入環境整備の進捗等により、観光入込客数は過去最高を記録するとともに、観光消費額は引き続き高い水準 （注） を維持しました。

府内観光入込客数は約8,791万人となりました。
平成30年の入込客数（8,505万人）を上回り、過去最高を記録

府内観光消費額は約1兆3,025億円となりました。
平成30年の観光消費額（1兆3,701億円）を下回ったものの、5年連続で1兆円台を維持

（注） 京都市の統計手法の変更（令和元年）により、厳密には府内全体の観光消費額等を経年で比較することはできないが、参考に各年の数字を単純比較した場合。

（参考）令和2年以降の調査から、調査基準を以下のとおり見直す予定です。

観光入込客数
主な観光関連施設における入込み客数の合計値から、府アンケート調査で把握した平均訪問地点数で除して算出した実人数に変更

観光消費額
主な観光関連施設における消費額の合計値から、観光入込み客数に府アンケート調査で把握した1人当たり消費額を乗じて算出した額に変更

1.観光入込客数等の増減要因（推定）

京都市域（減少）

北米の有力旅行雑誌「トラベル・アンド・レジャー誌」の読者アンケートで、8年連続ベスト10入りするなどの京都の魅力に関する認知度の高まり等により、観光客数が4年ぶりに増加し5,352万人となった。また、キャッシュレス環境の充実等の観光客の買物環境向上支援をはじめとした受入環境の整備などの取組を進めたことにより、統計手法の変更（宿泊税データの活用）はあったものの、観光消費額は4年連続で1兆円を超え、1兆2,367億円となった。

乙訓地域（増加）

「竹の径・かぐやの夕べ」や「向日市まつり」などのイベントのほか、2020年1月からの大河ドラマ「麒麟がくる」放映に向けて大河ゆかりの地が各種メディアで取り上げられ注目度が高まったこと、平成から令和への改元に伴う長岡天満宮等での限定御朱印の授与が話題になったことなどから、観光入込客数は前年比106％の増加となった。

山城地域（増加）

平成30年に中止となっていた野外音楽イベント「京都大作戦」が実施されたことや、京田辺市に入浴・宿泊施設が開業したこと、石清水八幡宮駅の駅名の変更に伴うプロモーションが実施されたことなどにより、観光入込客数が増加した。南山城村のレジャー・宿泊施設の一部事業縮小はあったものの、地域全体での観光入込客数には前年比105.9％の増加となった。

南丹地域（増加）

平成30年の7月豪雨、台風21号のような大型の自然災害が発生しなかったことなどにより、全体的に観光客数が回復した。亀岡市では、大河ドラマ「麒麟がくる」放映に向けて大河ドラマゆかりの地への誘客が増えたことなどにより、地域全体での観光入込客数は前年比108.3％の増加となった。

中丹地域（増加）

平成30年の7月豪雨、台風21号のような大型の自然災害が発生しなかったことなどにより、全体的に観光客数が回復した。綾部市では、閉鎖された入浴。宿泊施設はあるものの、あやべグンゼスクエアがバスツアーの立ち寄りスポットとなり大きく客足を伸ばしたこと、福知山市では、大河ドラマゆかりの地が広くメディアへ取り上げられたことなどもあり、地域全体での観光入込客数は前年比109.5％の増加となった。

丹後地域（増加）

平成30年の7月豪雨、台風21号のような大型の自然災害が発生しなかったことなどにより、全体的に観光客数が回復した。宮津市では、比較的天候に恵まれ天橋立地区等の海水浴客が増加したこと、テレビ・SNS等のメディア露出が増えたことなどにより、観光入込客数が増加した。地域全体の観光入込客数も前年比103.5％の増加となった。

2.データ

全体
令和元年（2019）京都府観光入込客調査報告書（PDF：1,112KB）
分割
表紙（PDF：28KB） 目次（PDF：58KB） 調査の概要（PDF：57KB） 調査結果の概要（PDF：277KB） 表1「市町村別、対前年比較」（PDF：125KB） 表2「地域別、外国人宿泊客数、対前年比較」（PDF：52KB） 表3「府内・府外別、日帰・宿泊別（外国人内訳入り）、宿泊施設別」（PDF：98KB） 表4「府内・府外別、日帰・宿泊別（外国人内訳入り）、対前年比較」（PDF：106KB） 表5「宿泊施設別（外国人内訳入り）、対前年比較」（PDF：121KB） 表6「外国人宿泊客数（国・地域別、宿泊施設別）」（PDF：496KB） 表7「市町村別、月別」（PDF：110KB） 表8「市町村別、目的別（京都市除く）」（PDF：82KB） 表9「市町村別、日帰・宿泊別」（PDF：70KB） 表10「観光入込客数及び観光消費額の年次推移」（PDF：73KB） （参考）令和2年度以降の調査基準の見直しについて（PDF：138KB） 裏表紙（PDF：39KB）

# data[].attributes.attachment_link.title
令和元年観光入込客数及び観光消費額について

# data[].attributes.attachment_link.description
令和元年の京都府内における観光入込客数等について、地元市町村と連携した観光振興の取組や受入環境整備の進捗等により、観光入込客数は過去最高を記録するとともに、観光消費額は引き続き高い水準 （注） を維持しました。 府内観光入込客数は約8,791万人となりました。 平成30年の入込客数（8,505万人）を上回り、過去最高を記録 府内観光消費額は約1兆3,025億円となりました。 ...

# data[].attributes.body
https://www.pref.kyoto.jp/kanko/research/1report.html

# data[].attributes.attachment_link.readable_text
令和元年の京都府内における観光入込客数等について、地元市町村と連携した観光振興の取組や受入環境整備の進捗等により、観光入込客数は過去最高を記録するとともに、観光消費額は引き続き高い水準 （注） を維持しました。

府内観光入込客数は約8,791万人となりました。
平成30年の入込客数（8,505万人）を上回り、過去最高を記録

府内観光消費額は約1兆3,025億円となりました。
平成30年の観光消費額（1兆3,701億円）を下回ったものの、5年連続で1兆円台を維持

（注） 京都市の統計手法の変更（令和元年）により、厳密には府内全体の観光消費額等を経年で比較することはできないが、参考に各年の数字を単純比較した場合。

（参考）令和2年以降の調査から、調査基準を以下のとおり見直す予定です。

観光入込客数
主な観光関連施設における入込み客数の合計値から、府アンケート調査で把握した平均訪問地点数で除して算出した実人数に変更

観光消費額
主な観光関連施設における消費額の合計値から、観光入込み客数に府アンケート調査で把握した1人当たり消費額を乗じて算出した額に変更

1.観光入込客数等の増減要因（推定）

京都市域（減少）

北米の有力旅行雑誌「トラベル・アンド・レジャー誌」の読者アンケートで、8年連続ベスト10入りするなどの京都の魅力に関する認知度の高まり等により、観光客数が4年ぶりに増加し5,352万人となった。また、キャッシュレス環境の充実等の観光客の買物環境向上支援をはじめとした受入環境の整備などの取組を進めたことにより、統計手法の変更（宿泊税データの活用）はあったものの、観光消費額は4年連続で1兆円を超え、1兆2,367億円となった。

乙訓地域（増加）

「竹の径・かぐやの夕べ」や「向日市まつり」などのイベントのほか、2020年1月からの大河ドラマ「麒麟がくる」放映に向けて大河ゆかりの地が各種メディアで取り上げられ注目度が高まったこと、平成から令和への改元に伴う長岡天満宮等での限定御朱印の授与が話題になったことなどから、観光入込客数は前年比106％の増加となった。

山城地域（増加）

平成30年に中止となっていた野外音楽イベント「京都大作戦」が実施されたことや、京田辺市に入浴・宿泊施設が開業したこと、石清水八幡宮駅の駅名の変更に伴うプロモーションが実施されたことなどにより、観光入込客数が増加した。南山城村のレジャー・宿泊施設の一部事業縮小はあったものの、地域全体での観光入込客数には前年比105.9％の増加となった。

南丹地域（増加）

平成30年の7月豪雨、台風21号のような大型の自然災害が発生しなかったことなどにより、全体的に観光客数が回復した。亀岡市では、大河ドラマ「麒麟がくる」放映に向けて大河ドラマゆかりの地への誘客が増えたことなどにより、地域全体での観光入込客数は前年比108.3％の増加となった。

中丹地域（増加）

平成30年の7月豪雨、台風21号のような大型の自然災害が発生しなかったことなどにより、全体的に観光客数が回復した。綾部市では、閉鎖された入浴。宿泊施設はあるものの、あやべグンゼスクエアがバスツアーの立ち寄りスポットとなり大きく客足を伸ばしたこと、福知山市では、大河ドラマゆかりの地が広くメディアへ取り上げられたことなどもあり、地域全体での観光入込客数は前年比109.5％の増加となった。

丹後地域（増加）

平成30年の7月豪雨、台風21号のような大型の自然災害が発生しなかったことなどにより、全体的に観光客数が回復した。宮津市では、比較的天候に恵まれ天橋立地区等の海水浴客が増加したこと、テレビ・SNS等のメディア露出が増えたことなどにより、観光入込客数が増加した。地域全体の観光入込客数も前年比103.5％の増加となった。

2.データ

全体
令和元年（2019）京都府観光入込客調査報告書（PDF：1,112KB）
分割
表紙（PDF：28KB） 目次（PDF：58KB） 調査の概要（PDF：57KB） 調査結果の概要（PDF：277KB） 表1「市町村別、対前年比較」（PDF：125KB） 表2「地域別、外国人宿泊客数、対前年比較」（PDF：52KB） 表3「府内・府外別、日帰・宿泊別（外国人内訳入り）、宿泊施設別」（PDF：98KB） 表4「府内・府外別、日帰・宿泊別（外国人内訳入り）、対前年比較」（PDF：106KB） 表5「宿泊施設別（外国人内訳入り）、対前年比較」（PDF：121KB） 表6「外国人宿泊客数（国・地域別、宿泊施設別）」（PDF：496KB） 表7「市町村別、月別」（PDF：110KB） 表8「市町村別、目的別（京都市除く）」（PDF：82KB） 表9「市町村別、日帰・宿泊別」（PDF：70KB） 表10「観光入込客数及び観光消費額の年次推移」（PDF：73KB） （参考）令和2年度以降の調査基準の見直しについて（PDF：138KB） 裏表紙（PDF：39KB）

# data[].attributes.attachment_link.title
令和元年観光入込客数及び観光消費額について

# data[].attributes.attachment_link.description
令和元年の京都府内における観光入込客数等について、地元市町村と連携した観光振興の取組や受入環境整備の進捗等により、観光入込客数は過去最高を記録するとともに、観光消費額は引き続き高い水準 （注） を維持しました。 府内観光入込客数は約8,791万人となりました。 平成30年の入込客数（8,505万人）を上回り、過去最高を記録 府内観光消費額は約1兆3,025億円となりました。 ...

# data[].attributes.attachment_link.readable_text
If it's Hawaii tourism data you're looking for, then you're in the right place. We'll cover the latest tourism trends (within the last 1-3 years) on the Hawaiian islands and provide a series of graphics and summarized data to give you a good idea of what's happening by the numbers.

The adjacent graph shows the Total ARRIVAL Data in 2018 to each island (including multi-destination/island arrivals). You can also view our historical 2016 data graph and 2006 data graph for comparison. A pie chart is not truly the best format to display the visitor totals for the various islands as the number of visitors shown in the chart is greater than the true total, as many visitors go to more than one island. However, for our purposes, it should give you an idea of how many visitors (percentage-wise) are arriving/visiting each island. Just keep in mind the actual arrival numbers are "inflated" a bit. A more accurate way to look at this is 'Visitor Days,' per island, but these percentages seen here provide an accurate overview of each island's visitation.

2020-2023 Update

Due to the COVID-19 pandemic that has taken place during 2020-2023, much of these statistical numbers won't mean as much (in terms of projecting the future) in the coming months or years. COVID has changed things, and we wanted to make note of that here. Many of the statistics and charts found on this page will still provide the general visitation patterns, which we don't expect to change once travel can resume normally.

The tabular chart shown further below gives the breakdown of visitors in the islands on a month by month basis (color coded per island), based on data from 2019 & 2022 visitor reports.

Visitor Days & Visitor Expenditures

In considering the "health" of the tourism market, one must also put emphasis on the two factors that are the most important: "visitor days" and "visitor expenditures."

Mahalo for the tip by 'amberloo' at TripAdvisor. In her words, " If there are more visitor days and more money being spent annually over the long-term, the industry is healthy regardless of any other factors; such as mere arrival totals. The goal of many government planners is to increase "days" and "spending" while limiting (or even decreasing) arrival counts."

Why limit arrival counts you might ask? One has to consider tourism "capacities" of the islands and how that will affect future trends. Maui and O'ahu likely reached their carrying capacity (for visitors) years ago, thus have few remaining competitive development opportunities and will not have the statistical fluctuations or upside growth potentials seen on Kaua'i. In fact, due to growth in recent years, Kaua'i has now about reached its own carrying capacity pending completion of on-going development.

Individual Hawaiian Island Data

These statistics are "arrival" data - meaning visitors who arrived in the islands (either from the mainland US, abroad, or from another island).

When viewing these statistics, we encourage visitors to keep the geographic size of the islands in mind. For example, the Big Island and Kauai have very similar trends in arrivals. However, the Big Island is significantly larger geographically speaking than Kauai (in fact, it is larger than all of the other islands combined) so these visitor numbers alone cannot tell the complete story. Kauai and the Big Island may very well have the exact same number of visitors any given month, but the size of the island will also determine how "crowded" it feels.

Big Island of Hawaii Visitor Data

The largest in the chain typically ranges between 100,000-175,000 arrivals each month. Excluding the summer "hump" felt through all the islands, the number of arrivals fluctuates much less than some other islands in the chain, so visitation is usually about the same in Hawai'i. The events we noted on the best time to travel to Hawaii page, that are held each spring and fall, can increase visitor ratios on the island. The volcanic eruption that began in May 2018 is also to have likely affected arrival numbers for this period.

Maui Visitor Data

The second largest island in the chain typically ranges between 210,000-300,000 arrivals each month. The summer "hump" is by far the largest period of arrivals, but there are also significant spikes at other times during the year, most notably around the Christmas holidays.

Kauai Visitor Data

The fourth largest island in the chain typically ranges between 100,000-140,000 visitors each month. Kauai, in general, is a much quieter island (arrival wise) when compared to the likes of the other islands in the chain. But that may be due to its size and "theme" (all things green). The summer "hump" is the only really busy time on the island, though it's not as distinct as the "hump" Maui and Oahu experience. The 2018 winter and spring storms and subsequent closures on Kauai likely affected visitor arrivals after this period.

Oahu Visitor Data

The third largest island in the chain typically ranges between 450,000-570,000 visitors each month. As you can quickly see, that number quickly dwarfs the other islands arrival data. Oahu is widely popular with visitors abroad, and given that 75% of the state's population lives on this single island, the arrival data can skew accordingly.

Typical Hawaii Visitor Timeline

Molokai & Lanai Visitor Data

These two islands only make up slightly more than 1% of all visitor arrivals combined. If you're heading to either of these two islands and are curious about this data, we suggest you look at the detailed statistics provided on the Hawaii Tourism Authority website.

You may also be interested in...

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If it's Hawaii tourism data you're looking for, then you're in the right place.

# data[].attributes.attachment_link.readable_text
If it's Hawaii tourism data you're looking for, then you're in the right place. We'll cover the latest tourism trends (within the last 1-3 years) on the Hawaiian islands and provide a series of graphics and summarized data to give you a good idea of what's happening by the numbers.

The adjacent graph shows the Total ARRIVAL Data in 2018 to each island (including multi-destination/island arrivals). You can also view our historical 2016 data graph and 2006 data graph for comparison. A pie chart is not truly the best format to display the visitor totals for the various islands as the number of visitors shown in the chart is greater than the true total, as many visitors go to more than one island. However, for our purposes, it should give you an idea of how many visitors (percentage-wise) are arriving/visiting each island. Just keep in mind the actual arrival numbers are "inflated" a bit. A more accurate way to look at this is 'Visitor Days,' per island, but these percentages seen here provide an accurate overview of each island's visitation.

2020-2023 Update

Due to the COVID-19 pandemic that has taken place during 2020-2023, much of these statistical numbers won't mean as much (in terms of projecting the future) in the coming months or years. COVID has changed things, and we wanted to make note of that here. Many of the statistics and charts found on this page will still provide the general visitation patterns, which we don't expect to change once travel can resume normally.

The tabular chart shown further below gives the breakdown of visitors in the islands on a month by month basis (color coded per island), based on data from 2019 & 2022 visitor reports.

Visitor Days & Visitor Expenditures

In considering the "health" of the tourism market, one must also put emphasis on the two factors that are the most important: "visitor days" and "visitor expenditures."

Mahalo for the tip by 'amberloo' at TripAdvisor. In her words, " If there are more visitor days and more money being spent annually over the long-term, the industry is healthy regardless of any other factors; such as mere arrival totals. The goal of many government planners is to increase "days" and "spending" while limiting (or even decreasing) arrival counts."

Why limit arrival counts you might ask? One has to consider tourism "capacities" of the islands and how that will affect future trends. Maui and O'ahu likely reached their carrying capacity (for visitors) years ago, thus have few remaining competitive development opportunities and will not have the statistical fluctuations or upside growth potentials seen on Kaua'i. In fact, due to growth in recent years, Kaua'i has now about reached its own carrying capacity pending completion of on-going development.

Individual Hawaiian Island Data

These statistics are "arrival" data - meaning visitors who arrived in the islands (either from the mainland US, abroad, or from another island).

When viewing these statistics, we encourage visitors to keep the geographic size of the islands in mind. For example, the Big Island and Kauai have very similar trends in arrivals. However, the Big Island is significantly larger geographically speaking than Kauai (in fact, it is larger than all of the other islands combined) so these visitor numbers alone cannot tell the complete story. Kauai and the Big Island may very well have the exact same number of visitors any given month, but the size of the island will also determine how "crowded" it feels.

Big Island of Hawaii Visitor Data

The largest in the chain typically ranges between 100,000-175,000 arrivals each month. Excluding the summer "hump" felt through all the islands, the number of arrivals fluctuates much less than some other islands in the chain, so visitation is usually about the same in Hawai'i. The events we noted on the best time to travel to Hawaii page, that are held each spring and fall, can increase visitor ratios on the island. The volcanic eruption that began in May 2018 is also to have likely affected arrival numbers for this period.

Maui Visitor Data

The second largest island in the chain typically ranges between 210,000-300,000 arrivals each month. The summer "hump" is by far the largest period of arrivals, but there are also significant spikes at other times during the year, most notably around the Christmas holidays.

Kauai Visitor Data

The fourth largest island in the chain typically ranges between 100,000-140,000 visitors each month. Kauai, in general, is a much quieter island (arrival wise) when compared to the likes of the other islands in the chain. But that may be due to its size and "theme" (all things green). The summer "hump" is the only really busy time on the island, though it's not as distinct as the "hump" Maui and Oahu experience. The 2018 winter and spring storms and subsequent closures on Kauai likely affected visitor arrivals after this period.

Oahu Visitor Data

The third largest island in the chain typically ranges between 450,000-570,000 visitors each month. As you can quickly see, that number quickly dwarfs the other islands arrival data. Oahu is widely popular with visitors abroad, and given that 75% of the state's population lives on this single island, the arrival data can skew accordingly.

Typical Hawaii Visitor Timeline

Molokai & Lanai Visitor Data

These two islands only make up slightly more than 1% of all visitor arrivals combined. If you're heading to either of these two islands and are curious about this data, we suggest you look at the detailed statistics provided on the Hawaii Tourism Authority website.

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