What this article shows

Tokyo's 23 wards have a nighttime resident population of about 9.73 million, but the daytime population rises to about 12.35 million. The difference is about 2.61 million, and the daytime/nighttime population ratio is 126.8%. Centered on Chiyoda, Minato, and Chuo wards, the data reveal the scale of Tokyo as a work center that draws people—and the income they earn—from Kanagawa, Saitama, and Chiba.

Daytime and nighttime population in Tokyo's special wards (2020 Census)

IndicatorValue
Nighttime population (resident population)9,733,276
Daytime population12,346,348
Daytime-nighttime difference+2,613,072
Daytime/nighttime population ratio126.8%
Nighttime population (resident population) 9,733,276 People
Daytime population 12,346,348 People
Daytime-nighttime difference +2,613,072 People

A massive employment center that gains 2.61 million people during the day

The nighttime population in 2020 was 9,733,276, while the daytime population was 12,346,348—an increase of 2,613,072 during the day. That means 126.8 daytime residents for every 100 nighttime residents.

The difference includes not only commuting but also travel to school, and it is the net result of inflows and outflows across all 23 wards. It does not directly represent passenger counts on individual railway lines or the total number of visitors to the city.

Workers from across Greater Tokyo converge on Marunouchi, Otemachi, Kasumigaseki, and Minato

Reading the regional background

Marunouchi, Otemachi, and Kasumigaseki in Chiyoda Ward; Nihonbashi and Ginza in Chuo Ward; and the Shimbashi, Roppongi, and Shinagawa areas of Minato Ward concentrate corporate headquarters, government ministries, finance, trading companies, foreign-affiliated firms, and professional services. Shibuya and Shinjuku are also major centers for IT, retail, and business activity.

Railways such as the Tokyu and Odakyu lines from Kanagawa, the Keihin-Tohoku and Saikyo lines from Saitama, and the Sobu, Tozai, and Joban lines from Chiba carry people from residential areas into central Tokyo. This inflow raises Tokyo's workplace-based wage statistics and creates the “Tokyo commuter effect” that supports household income in surrounding prefectures.

How to read these figures

Important notes

Population and labor statistics are available only for specific reference years and may not reflect later economic conditions or changes in employment.

The article is organized primarily around published statistical figures. Numerical values directly observable in the statistical tables should be distinguished from interpretations of background factors.

Summary: Tokyo's 23 wards are even larger as a place to work than as a place to live

Key takeaway

Tokyo's 23 wards gain about 2.61 million people during the day, making them the employment center of the wider metropolitan area. Surrounding prefectures are not simply competitors; together they form an integrated urban region in which the suburbs provide housing and labor to the center.

  • Nighttime population: about 9.73 million
  • Daytime population: about 12.35 million
  • Daytime-nighttime difference: about 2.61 million; ratio: 126.8%
  • The concentration of headquarters, government, finance, and professional jobs in central Tokyo drives the inflow

Source: Published statistics listed in the Analysis notes at the end of this article


📊 Analysis notes

This article is based on the following statistical data.

  • Statistics used: Statistics Bureau of Japan, Social and Demographic Statistics System (Population and Households) (Table ID: 0000020101, view on e-Stat)
  • Area: Tokyo special wards
  • Year: 2020
  • Data retrieved: June 6, 2026
  • Notes: The article is organized primarily around figures from published statistics. Because population composition, employment practices, and other factors outside the article also matter, numerical values directly observable in the statistical tables should be distinguished from interpretation.

Chart and table values have been independently aggregated and visualized from the statistical data above.

Table values have been organized from the statistical data above.