アメリカ合衆国

  • 大統領:Donald Trump
  • 副大統領:JD Vance
  • 首都:Washington, D.C.
  • 言語:English 79.2%, Spanish 12.9%, other Indo-European 3.8%, Asian and Pacific island 3.3%, other 0.9% (2011 est.) note: data represents the language spoken at home; the US has no official national language, but English has acquired official status in 31 of the 50 states; Hawaiian is an official language in the state of Hawaii
  • 政府
  • 統計局
  • 人口、人:346,373,570 (2025)
  • 面積、平方キロメートル:9,147,420
  • 1人当たりGDP、US $:82,769 (2023)
  • GDP、現在の10億米ドル:27,720.7 (2023)
  • GINI指数:41.3 (2022)
  • ビジネスのしやすさランク:6

すべてのデータセット: E F G M O S T
  • E
  • F
    • 5月 2025
      ソース: Central Agency for Public Mobilization and Statistics of Egypt
      アップロード者: Knoema
      以下でアクセス: 10 5月, 2025
      データセットを選択
      Note: Financial Year starts from July to June. Quarterly data has been taken as calendar year quarter. For (2017-2018)Q1 considered as 2017Q3.  
    • 3月 2025
      ソース: Kuwait Central Statistical Bureau
      アップロード者: Knoema
      以下でアクセス: 26 3月, 2025
      データセットを選択
    • 8月 2024
      ソース: National Centre for Statistics and Information, Oman
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2024
      データセットを選択
      Data cited at: https://data.gov.om/OMFRTRD2016 this Data set covers the statistical indicators illustrating the development of trade between Oman and other countries, and classification of  merchandise exports, re-exports and merchandise imports by commodity group, nature of materials, their final utilization and port of entry.  It includes also a table on of the balance of payments estimates.   The commodity classification used in the presentation of foreign trade data is the Hormonised System, which has been adopted in Oman since 1987, in addition to the SITC Revision (4) for international comparison.  Commodity values are estimated in Rial Omani on the basis of the (C.I.F.) value for imports (i.e. the cost, insurance and freight of goods to the custom points in Oman) and (F.O.B.) for exports and re-exports.
    • 6月 2023
      ソース: Saudi Arabian Monetary Agency
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2024
      データセットを選択
      Data cited at: Saudi Arabian Monetary Agency-SAMA
  • G
    • 3月 2025
      ソース: Climate Watch
      アップロード者: Knoema
      以下でアクセス: 05 3月, 2025
      データセットを選択
      Data cited at: CAIT, retrieved from Climate Watch Climate Watch Historical Emission data contains sector-level greenhouse gas (GHG) emissions data for 194 countries and the European Union (EU) for the period 1990-2019, including emissions of the six major GHGs from most major sources and sinks. Non-CO2 emissions are expressed in CO2 equivalents using 100-year global warming potential values from IPCC Fourth Assessment Report.
  • M
  • O
  • S
    • 12月 2019
      ソース: Open Data, Saudi Arabia
      アップロード者: Divyashree T S
      以下でアクセス: 10 12月, 2019
      データセットを選択
      The Saudi Arabia government published Vision 2030, which defined a journey for a deep and ambitious socio-economic change in the Kingdom. Subsequently the National Transformation Program also set out specific commitments of Government Ministries and other Entities for the period up to 2020. Achieving budgetary balance is one of the specific goals of the Vision; and the NTP also commits to strengthening financial governance, increasing non-oil revenues and improving spending on programs and projects.As one of the Executive Programs announced in the Vision, the Fiscal Balance Program will be a key component in developing a more effective government, by providing intense scrutiny of government finances and acting as a spur to increased efficiency.
    • 9月 2024
      ソース: General Authority for Statistics, Kingdom of Saudi Arabia
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2025
      データセットを選択
         
  • T
    • 4月 2025
      ソース: National Centre for Statistics and Information, Oman
      アップロード者: Knoema
      以下でアクセス: 02 4月, 2025
      データセットを選択
      The data of the sector includes the number of visitors to by tourist location and category of visitors, and hotel services whose data reflect indicators of the number of guests distributed by hotel, governorate, room type, hotel type, nationality of guests, and hotel revenues by type of service.