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 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.

The gross domestic product (GDP) in current prices in Japan was about 4.03 trillion U.S. dollars in 2024. Between 1980 and 2024, the GDP rose by approximately 2.90 trillion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The GDP will steadily rise by around 960 billion U.S. dollars over the period from 2024 to 2030, reflecting a clear upward trend.This indicator describes the gross domestic product at current prices. The values are based upon the GDP in national currency converted to U.S. dollars using market exchange rates (yearly average). The GDP represents the total value of final goods and services produced during a year.

Key information about Japan Market Capitalization: % of GDP

• Japan Market Capitalization accounted for 163.5 % of its Nominal GDP in Dec 2024, compared with a percentage of 146.5 % in the previous year
• Japan Market Capitalization: % Nominal GDP is updated yearly, available from Dec 1994 to Dec 2024
• The data reached an all-time high of 163.5 % in Dec 2024 and a record low of 47.3 % in Dec 2002

CEIC calculates annual Market Capitalization as % of Nominal GDP from monthly Market Capitalization and annual Nominal GDP. Japan Exchange Group Inc. provides Market Capitalization in local currency. Economic and Social Research Institute provides Nominal GDP in local currency. Market Capitalization covers Tokyo Stock Exchange only, which is not the only equity market in the country but is highly representative. Before July 2013 Total Market Capitalization of TSE covers TSE 1st Section Shares, 2nd Section Shares and Mothers Shares. Since July 2013, Total Market Capitalization of TSE also covers Market Capitalization of Tokyo Pro Market Shares, JASDAQ Standard Shares and JASDAQ Growth Shares. On April 2022, the stock market was restructured into three new market segments (Prime Market, Standard Market, and Growth Market) replacing previous four market divisions: 1st Section, 2nd Section, Mothers, and JASDAQ (Standard and Growth).


Further information about Japan Market Capitalization: % of GDP

• In the latest reports, Prime Market recorded a monthly P/E ratio of 19.9 in Feb 2025
• Nikkei 225 Stock closed at 33,189.0 points in Jun 2023

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 July of 2025.

Japan GDP per capita for 2023 was $33,767, a 0.74% decline from 2022.

<ul style='margin-top:20px;'>

<li>Japan GDP per capita for 2022 was <strong>$34,017</strong>, a <strong>15.08% decline</strong> from 2021.</li>
<li>Japan GDP per capita for 2021 was <strong>$40,059</strong>, a <strong>0.04% increase</strong> from 2020.</li>
<li>Japan GDP per capita for 2020 was <strong>$40,041</strong>, a <strong>0.93% decline</strong> from 2019.</li>
</ul>GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars.

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.

GDP (current US$) in Japan was reported at 4026210821147 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

In the fiscal year 2021, Tokyo Prefecture recorded the highest GDP at current prices in Japan, at around ***** trillion Japanese yen. The nominal GDP of Osaka Prefecture amounted to **** trillion yen.

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, the Kanto region recorded the highest GDP at current prices in Japan, at 238.7 trillion Japanese yen. The GDP of Tokyo Prefecture, which is part of the Kanto region, amounted to 109.4 trillion yen in the same year.

Preliminary gridded GDP dataset under SSP2 for 2020–2100 in Tokyo, London, and Bangkok (spatial resolution: 30 arc-seconds)。

In 2021, 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.

In the fiscal year 2021, Ehime Prefecture recorded the highest GDP growth in real terms in Japan, at 8.2 percent. The real GDP of Tokyo Prefecture grew by 2.9 percent year on year.

In 2024, Japan's gross domestic product (GDP) grew by three percent at current prices, according to the second preliminary announcement in March 2025. A year earlier, the highest growth rate of Japan’s nominal GDP in almost three decades was recorded. The nominal GDP measures the value of all goods and services produced in an economy, including price changes. GDP growth and inflation Japan’s real GDP growth, which is adjusted for inflation, was lower at 0.1 percent. After decades of struggling with deflation and attempts to reach a two percent inflation target with economic stimulus packages and monetary easing policies, consumer prices in Japan increased by almost 3.3 percent in 2023, led by global inflation. This development prompted the Bank of Japan to shift its monetary policy and raise the short-term interest rate for the first time in 17 years in 2024. Japan lost its status as the third-largest economy Many countries have raised interest rates in response to higher inflation in the past years. Since Japan’s central bank has done so at a much slower pace, a widening interest gap emerged between Japan and other major economies of the world. This is also one of the reasons for the depreciation of the yen against the dollar. Due to the weak yen, Japan’s GDP declined when converted into U.S. dollars, resulting in Japan losing its status as the third-largest economy in terms of GDP to Germany in 2023.

Inflation Rate in Japan decreased to 3.50 percent in May from 3.60 percent in April 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.

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.

Comprehensive socio-economic dataset for Japan including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Using all stocks listed in the Tokyo Stock Exchange and macroeconomic data for Japan, the dataset comprises the following series:

1. Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
2. Monthly returns for 20 momentum portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
3. Monthly returns for 25 price-to-cash flow-dividend yield portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
4. Fama and French three-factors (RM, SMB and HML), following the Fama and French (1993) methodology. (Raw data source: Datastream database)
5. Fama and French five-factors (RM, SMB, HML, RMW, and CMA), following the Fama and French (2015) methodology for all factors, except for RMW, which is determined using the return on assets as sorting variable, as in Hou, Xue and Zhang (2014). (Raw data source: Datastream database)
6. Private final consumption expenditure, in national currency and constant prices, non-seasonally adjusted, for Japan. (Raw data source: OECD)
7. Consumer Confidence Index (CCI) for Japan. (Raw data source: OECD)
8. Three-month interest rate of the Treasury Bill for Japan. (Raw data source: OECD)
9. Gross Domestic Product (GDP) for Japan. (Raw data source: OECD)
10. Consumer Price Index (CPI) growth rate for Japan. (Raw data source: OECD)

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.

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.