In the fiscal year 2022, the gross prefectural domestic product of Tokyo Prefecture amounted to around ***** trillion Japanese yen at current prices. This marked an increase from a GDP of about ***** trillion yen.
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The Gross Domestic Product (GDP) in Japan was worth 4026.21 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Japan represents 3.79 percent of the world economy. This dataset provides - Japan GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.
In 2024, about 93.7 percent of men aged 45 to 54 years in Tokyo Prefecture in Japan were employed. The employment rate of men aged 65 years and older declined to 35.2 percent.
In the fiscal year 2020, Tokyo Metropolis recorded the highest GDP at current prices in Japan, at ***** trillion Japanese yen. Osaka City followed with a GDP of about **** trillion yen. Broken down by prefecture, ***** recorded the highest GDP in Japan.
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GDP per capita (current US$) in Japan was reported at 32476 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - GDP per capita - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.
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Key information about Japan Market Capitalization: % of GDP
In the fiscal year 2021, the Kanto region recorded the highest GDP at current prices in Japan, at ***** trillion Japanese yen. The GDP of Tokyo Prefecture, which is part of the Kanto region, amounted to ***** trillion yen in the same year.
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The Gross Domestic Product per capita in Japan was last recorded at 46097.43 US dollars in 2024, when adjusted by purchasing power parity (PPP). The GDP per Capita, in Japan, when adjusted by Purchasing Power Parity is equivalent to 259 percent of the world's average. This dataset provides - Japan GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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This table shows the results from the simulations assuming the shutdown of all non-essential production activities. These results are based on the average of the simulations. (Unit: trillion yen).
In the fiscal year 2021, ***** Prefecture recorded the highest GDP growth in real terms in Japan, at *** percent. The real GDP of Tokyo Prefecture grew by *** percent year on year.
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Preliminary gridded GDP dataset under SSP2 for 2020–2100 in Tokyo, London, and Bangkok (spatial resolution: 30 arc-seconds)。
In 2023, the gross domestic product (GDP) of the Guangdong - Hong Kong - Macao Greater Bay Area reached around **** trillion U.S. dollars. Although this was not much less than the GDP of the Tokyo Bay and more than the New York Metropolitan Area, per capita GDP in China's Greater Bay Area was considerably lower.
This statistic provides a projection of the gross domestic product (GDP) of major megacities worldwide in 2030. As of this time, it is projected that the GDP of Tokyo, Japan, will reach 40 billion U.S. dollars.
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PurposeRanking of nations by medal tally is a popular feature of the Olympics, but such ranking is a poor measure of sporting prowess or engagement until the tallies are adjusted for major factors beyond the control of individual nations. Here we estimate and adjust for effects of total population, economy expressed as gross domestic product per capita, absolute latitude and Muslim population proportion on total medal counts in female, male, mixed and all events at the Pyeongchang winter and Tokyo summer Olympics and Paralympics.MethodsThe statistical model was multiple linear over-dispersed Poisson regression. Population and economy were log-transformed; their linear effects were expressed in percent per percent units and evaluated in magnitude as the factor effects of two between-nation standard deviations (SD). The linear effect of absolute latitude was expressed and evaluated as the factor effect of 30° (approximately 2 SD). The linear effect of Muslim proportion was expressed as the factor effect of 100% vs. 0% Muslim. Nations were ranked on the basis of actual vs. predicted all-events medal counts.ResultsAt the Pyeongchang Olympics, effects of population and economy were 0.7–0.8 %/% and 1.1–1.7 %/% (welldefined extremely large increases for 2 SD), factor effects of 30° of latitude were 11–17 (welldefined extremely large increases), and factor effects of 100% Muslim population were 0.08–0.69 (extremely large to moderate reductions, albeit indecisive). Effects at the Tokyo Olympics were similar in magnitude, including those of latitude, which were surprisingly still positive although diminished (large to very large increases). Effects at the Pyeongchang and Tokyo Paralympics were generally similar to those at the Olympics, but the effects of economy were diminished (large to very large increases). After adjustment of medal tallies for these effects, nations that reached the top-10 medalists in both winter games were Austria, Belarus, Kazakhstan, Slovakia and Ukraine, but only Azerbaijan reached the top-10 in both summer games.ConclusionAdjusting medal counts for demographic and geographic factors provides a comparison of nations' sporting prowess or engagement that is more in keeping with the Olympic ideal of fair play and more useful for nations' Olympic-funding decisions.
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Inflation Rate in Japan decreased to 3.30 percent in June from 3.50 percent in May of 2025. This dataset provides the latest reported value for - Japan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Using all stocks listed in the Tokyo Stock Exchange and macroeconomic data for Japan, the dataset comprises the following series:
We have produced all return series using the following data from Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) price-to-cash flow ratio (PC series), and (vii) dividend yield (DY series). We have used the generic rules suggested by Griffin, Kelly, & Nardari (2010) for excluding non-common equity securities from Datastream data. We also exclude stocks with less than twelve observations in the period from July 1992 to June 2018. Accordingly, our sample comprises a total number of 5,312 stocks.
REFERENCES:
Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277. Hou K, Xue C, Zhang L. (2014). Digesting anomalies: An investment approach. Review of Financial Studies, 28, 650-705.
In the fiscal year 2021, the tertiary sector accounted for close to ** percent of Tokyo Prefecture's GDP. The highest primary sector contribution could be observed in Miyazaki Prefecture, while the secondary sector accounted for the largest share in Shiga Prefecture.
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Unemployment Rate in Japan remained unchanged at 2.50 percent in June. This dataset provides the latest reported value for - Japan Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Le Produit Intérieur Brut par habitant au Japon a été enregistré à 37144,91 dollars américains en 2024. Le PIB par habitant au Japon équivaut à 294 pour cent de la moyenne mondiale. Cette dataset fournit - Japon PIB par habitant - valeurs actuelles, données historiques, prévisions, graphique, statistiques, calendrier économique et actualités.
In 2022, the contribution of the tourism industry to the gross domestic product (GDP) in Japan amounted to ************** Japanese yen. Tourism generated contribution to the GDP had increased in the past few years until the advent of the COVID-19 pandemic put an end to the trend.
In the fiscal year 2022, the gross prefectural domestic product of Tokyo Prefecture amounted to around ***** trillion Japanese yen at current prices. This marked an increase from a GDP of about ***** trillion yen.