日本

  • 天皇:Naruhito
  • 首相:Fumio Kishida
  • 首都:Tokyo
  • 言語:Japanese
  • 政府
  • 統計局
  • 人口、人:122,963,952 (2024)
  • 面積、平方キロメートル:364,500
  • 1人当たりGDP、US $:34,017 (2022)
  • GDP、現在の10億米ドル:4,256.4 (2022)
  • GINI指数:32.9 (2013)
  • ビジネスのしやすさランク:30

すべてのデータセット: C E F G P S U
  • C
    • 3月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 24 3月, 2024
      データセットを選択
      Data cited at: Coordinated Portfolio Investment Survey (CPIS), The International Monetary Fund. The Coordinated Portfolio Investment Survey (CPIS) is a voluntary data collection exercise conducted under the auspices of the IMF. An economy provides data on its holdings of portfolio investment securities (data are separately requested for equity and investment fund shares, long-term debt instruments, and short-term debt instruments).   Worldwide portfolio holdings of equity and investment fund shares (31 USD trillion) at end-2017 surpasses holdings of debt securities (29.7 USD trillion). After the peak of the financial crisis in 2008, the annual growth rate of equity holdings has exceeded substantially that for debt securities holdings. That pattern is similar in all the economies with the largest cross border portfolio assets and liabilities. As per G20 emerging economies, while the holdings of equity and investment fund shares had already been consistently higher than those of debt securities, during the last five years the gap has widened even further.
  • E
    • 4月 2024
      ソース: European Central Bank
      アップロード者: Knoema
      以下でアクセス: 10 4月, 2024
      データセットを選択
      The Euro Area Real-Time Database (RTDB) is an experimental dataset that consists of vintages, or snapshots, of time series of several variables, based on series reported in the ECB’s Monthly Bulletin (MoBu). The database has been constructed in the context of the Real-Time DataBase (RTDB) project that is being coordinated by the Euro Area Business Cycle Network (EABCN). An in-depth presentation of this euro area RTDB can be found in ECB Working Paper No 1145, entitled “An area-wide real-time database for the euro area” by D. Giannone, J. Henry, M. Lalik and M. Modugno (January 2010). It contains indicators published in the MoBu, however, it focuses mainly on raw series (mainly indexes, levels and absolute values) instead of derived values (annual percentage changes) which were actually reported. Users are expected to perform relevant calculations to derive transformed data by using a software of their choice. The dataset was constructed by retrieving data stored in so called “frozen” databases which were used to produce MoBu’s statistical tables since January 2001. However, for selected 38 variables the vintages were reconstructed back to 1999 but are made available in CSV format only (see Dissemination pane). The “freezing” procedure always takes place on a working day ahead of the Governing Council meeting at precise time 3.30 p.m. It should be noted that the technology behind storage databases has evolved over the time and that the quality of early vintages might be in some cases lower due to the lack of good electronic sources available at that time. The quality of these vintages should not be in any case related to the quality of the MoBu itself as the proof reading of the later always ensures the accuracy of numbers published. All indicators in the dataset follow a so called “policy concept”, i.e. they are reported according to the methodology adopted at the time of their publication. For example, the data on GDP at constant prices were replaced by chain indices in November 2005. The dataset reflects this fact as a revision to the GDP series. When using euro area data one should also be particularly aware of a specific definition of the euro area applied. A detailed explanation of various euro area compositions can be found in General Notes of the MoBu. Bearing in mind all these limitations, the dataset should be used for research purposes only and the time series included should not be treated as reference data. For most up to date indicators users should refer to other sections of the SDW.   RTD - Real Time Database (research database)
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  • U