In 2024, over *** million people were employed in the wholesale and retail trade industry in Tokyo Prefecture in Japan, including self-employed workers, family workers, and employees. Around ******* people in the prefecture were engaged in the information and communication industry.

Context

Since 2008, guests and hosts have used Airbnb to travel in a more unique, personalized way. As part of the Airbnb Inside initiative, this dataset describes the listing activity of homestays in Tokyo, Japan.

Content

The data was collected on 06 December 2021 and contain detailed listings data, review data and calendar data of current Airbnb listings in Tokyo as of 28 October 2021. There is 10.7k sample, but there is some missing data on some feature/variable. Acknowledgements

The data was collected from the website Inside Airbnb (URL: http://insideairbnb.com/get-the-data.html) and you can visualize the map of the area here: http://insideairbnb.com/tokyo

Inspiration

・Can you predict the accommodation price using listing features? ・What are the busiest times of the year to visit Tokyo?

In 2023, approximately *** million people within the age group of 15 to 64 years were counted in Tokyo Prefecture, an increase from about *** million people recorded in 2020. Over *** million inhabitants in the metropolis were aged 65 years and older.

Dataset

This dataset was created by YutoYasuda1999

Contents

Comprehensive dataset containing 1,334 verified Human resource consulting businesses in Tokyo, Japan with complete contact information, ratings, reviews, and location data.

Japan Suspension of Transactions with Bank: Tokyo: Number of Person data was reported at 4.000 Unit in Jun 2018. This records a decrease from the previous number of 16.000 Unit for May 2018. Japan Suspension of Transactions with Bank: Tokyo: Number of Person data is updated monthly, averaging 418.000 Unit from Jan 1970 (Median) to Jun 2018, with 582 observations. The data reached an all-time high of 4,140.000 Unit in Dec 1971 and a record low of 4.000 Unit in Jun 2018. Japan Suspension of Transactions with Bank: Tokyo: Number of Person data remains active status in CEIC and is reported by Japanese Bankers Association. The data is categorized under Global Database’s Japan – Table JP.KA027: Suspension of Transaction with Bank.

Dataset

This dataset was created by Phong Vo

Released under Apache 2.0

Contents

In a survey conducted in July 2021 in Japan, **** percent of respondents stated the expectation that no surge in the number of COVID-19 cases after the Tokyo 2020 Olympics and Paralympics is going to occur. This was respondents' leading expectation regarding the events, followed by a safe ending of the events, and the improvement of Japan's economy.

Summary of this dataset

This dataset has been designed and obtained for discussing control measures during the COVID-19 pandemic. In this study, 1,260 people living in Tokyo and Kanagawa prefectures in Japan participated in the survey. This survey was used to collect participants’ behaviors and the objects that they touched on the days that they went out at 15 types of locations and vehicles.

This dataset is expected to improve our understanding of actual human behavior and contact with objects that could. Although it is impossible to disinfect all objects and spaces, this dataset is expected to contribute to the prioritization of disinfection during periods of widespread infection.

Datasets

1. Study and Dataset Design

The participants living in Tokyo and Kanagawa prefectures in Japan were asked to respond, in detail, to a survey regarding the locations they stayed at for an extended period between December 3 (Thursday) and December 7 (Monday), 2020, and all the items that they touched during this time. Using the locations where clusters of infections were found during April 2020, 12 locations were selected (e.g., medical facilities, including hospitals; restaurants; stores whose main objective was to sell alcohol, such as bars; companies, including the participants’ own companies and the offices of others; and sports facilities such as gyms) and investigated. Similarly, three means of transport, namely trains, buses, and taxis, were selected as spaces where people often crowd together.

The main survey was conducted with 1,536 subjects during December 3–8. Data from 1,260 subjects who gave valid responses were used for the dataset. To ensure that the respondents could respond while their memories were still fresh, the survey was distributed to each subject on the day of their corresponding behavior. Participants were asked to respond about the locations where they spent most of their time during the corresponding period. They were also asked to detail all the objects they touched (excluding personal objects) during this time. The objects in this study were evaluated using a free-writing description. Typographical errors and differences in expressions were frequently observed (e.g., water closet, toilet, and bathroom). A categorization rule was thus developed to better ascertain the actual status of locations and object contact. The participants’ expressions were modified through visual inspection.

2. Patient and Public Involvement

This survey was conducted after appropriate review by the Ethics Committee of the Graduate School of Engineering, University of Tokyo (examination number: 20-61, approval number: KE20-72).

Reference

Teruaki Hayashi, Daisuke Hase, Hikaru Suenaga, Yukio Ohsawa, "The Actual Conditions of Person-to-Object Contact and a Proposal for Prevention Measures During the COVID-19 Pandemic," medRxiv, 2021. DOI: https://doi.org/10.1101/2021.04.11.21255290

Acknowledgements

This research project was supported by the “Startup Research Program for Post-Corona Society” of the Academic Strategy Office, School of Engineering, the University of Tokyo, and the “COVID-19 AI and Simulation Project” run by Mitsubishi Research Institute commissioned by the Office for Novel Coronavirus Disease Control, Cabinet Secretariat, Government of Japan. The authors would like to thank PLUG-Inc. for survey design and implementation.

Japan Population: Tokyo-to: Male: Over 85 Years data was reported at 146.000 Person th in 2017. This records an increase from the previous number of 136.000 Person th for 2016. Japan Population: Tokyo-to: Male: Over 85 Years data is updated yearly, averaging 106.000 Person th from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 146.000 Person th in 2017 and a record low of 84.000 Person th in 2007. Japan Population: Tokyo-to: Male: Over 85 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G003: Population: Annual: By Prefecture.

Japan Population: Tokyo-to: Male: 5 to 9 Years data was reported at 262.000 Person th in 2017. This records an increase from the previous number of 261.000 Person th for 2016. Japan Population: Tokyo-to: Male: 5 to 9 Years data is updated yearly, averaging 247.000 Person th from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 262.000 Person th in 2017 and a record low of 231.000 Person th in 1999. Japan Population: Tokyo-to: Male: 5 to 9 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G003: Population: Annual: By Prefecture.

Japan Population: Tokyo-to: Female: 50 to 54 Years data was reported at 467.000 Person th in 2017. This records an increase from the previous number of 444.000 Person th for 2016. Japan Population: Tokyo-to: Female: 50 to 54 Years data is updated yearly, averaging 416.500 Person th from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 489.000 Person th in 2001 and a record low of 351.000 Person th in 2008. Japan Population: Tokyo-to: Female: 50 to 54 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G003: Population: Annual: By Prefecture.

The Global Human Footprint dataset of the Last of the Wild Project, version 2, 2005 (LWPv2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1 km grid cells, created from nine global data layers covering human population pressure (population density), human land use and infraestructure (built-up areas, nighttime lights, land use/land cover) and human access (coastlines, roads, navigable rivers).The Human Footprint Index (HF) map, expresses as a percentage the relative human influence in each terrestrial biome. HF values from 0 to 100. A value of zero represents the least influence -the "most wild" part of the biome with value of 100 representing the most influence (least wild) part of the biome.

Japan Population: Tokyo-to: 55 to 59 Years data was reported at 779.000 Person th in 2017. This records an increase from the previous number of 753.000 Person th for 2016. Japan Population: Tokyo-to: 55 to 59 Years data is updated yearly, averaging 805.500 Person th from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 983.000 Person th in 2006 and a record low of 712.000 Person th in 2013. Japan Population: Tokyo-to: 55 to 59 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G003: Population: Annual: By Prefecture.

Context

The Tokyo Olympic Games 2020 due to the Coronavirus Pandemic was postponed to 2021. "A cancellation of the event in the light of the coronavirus pandemic seems ever more unlikely despite repeated calls from the Japanese public."

" Almost 80,000 officials, support staff and journalists are expected to enter Japan from abroad on top of 11,500 athletes competing, creating an influx of people from all over the world into Tokyo despite the ban on international spectators."

https://www.statista.com/chart/24993/olympic-games-by-the-numbers/?utm_source=Statista+Newsletters&utm_campaign=d2cc59488e-All_InfographTicker_daily_COM_AM_KW22_2021_Fr&utm_medium=email&utm_term=0_662f7ed75e-d2cc59488e-315801217

Content

A chart that shows facts and figures about the Olympic Summer Games 2020/21 in Tokyo.

Acknowledgements

https://www.statista.com/chart/24993/olympic-games-by-the-numbers/?utm_source=Statista+Newsletters&utm_campaign=d2cc59488e-All_InfographTicker_daily_COM_AM_KW22_2021_Fr&utm_medium=email&utm_term=0_662f7ed75e-d2cc59488e-315801217

Photo by Ryunosuke Kikuno on Unsplash

Inspiration

Tokyo Olympic Games 2021. They were suppose to be in 2020. Hence, Covid Pandemics postponed it to 2021.

Dataset

This dataset was created by Fuyutaro Suzuki

Contents

Japan No. of Guests: Foreigners: Tokyo data was reported at 4,287,690.000 Person in Feb 2025. This records a decrease from the previous number of 4,718,790.000 Person for Jan 2025. Japan No. of Guests: Foreigners: Tokyo data is updated monthly, averaging 1,375,110.000 Person from Jan 2011 (Median) to Feb 2025, with 170 observations. The data reached an all-time high of 5,447,480.000 Person in Oct 2024 and a record low of 34,290.000 Person in May 2020. Japan No. of Guests: Foreigners: Tokyo data remains active status in CEIC and is reported by Ministry of Land, Infrastructure, Transport and Tourism. The data is categorized under Global Database’s Japan – Table JP.Q004: Number of Hotel Guests.

In a survey conducted in December 2019 in Japan, about ** percent of male respondents and approximately ** percent of female respondents agreed that the Tokyo 2020 Olympics would have a positive impact on the country. The Summer Olympics were scheduled to take place between 24 July and 9 August in 2020, being held for the second time in the Japanese capital.

Estimation results for the weekend afternoon.

In a survey conducted in December 2019, close to ** percent of Japanese respondents stated that the 2020 Olympics being hosted by Tokyo would have a positive impact on improving their understanding of or interest in people with disabilities. With another approximately ** percent agreeing to the statement, an overall majority of around ** percent foresaw this effect of the 2020 Olympics. The Summer Olympics were scheduled to take place between 24 July and 9 August in 2020, being held for the second time in the Japanese capital.