إيطاليا

  • الرئيس:Sergio Mattarella
  • رئيس الوزراء:Giorgia Meloni
  • العاصمة:Rome
  • اللغات:Italian (official), German (parts of Trentino-Alto Adige region are predominantly German speaking), French (small French-speaking minority in Valle d'Aosta region), Slovene (Slovene-speaking minority in the Trieste-Gorizia area)
  • الحكومة
  • مكتب الإحصائيات القومي
  • السكان والأشخاص:58,785,977 (2024)
  • المساحة ، كم مربع:295,717
  • الناتج المحلي الإجمالي للفرد ، بالدولار الأمريكي:34,776 (2022)
  • الناتج المحلي الإجمالي ، مليار دولار أمريكي حالي:2,049.7 (2022)
  • مؤشر GINI:34.8 (2021)
  • تصنيف سهولة ممارسة الأعمال:58

All datasets: E L P
  • E
    • تشرين الثاني 2023
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 كانون الثاني, 2024
      تحديد مجموعة بيانات
      The OECD Economic Outlook analyses the major economic trends over the coming 2 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments and government debt. For the non-OECD regions, foreign trade and current account series are available. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD data bases such as Quarterly National Accounts, Annual National Accounts, Labour Force Statistics and Main Economic Indicators. The cut-off date for information used in the compilation of the projections was June 1, 2023. The aggregation of world trade takes into account the projections made for the main non-OECD economies. Thus, besides OECD and the OECD euro area, the following regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Algeria, Angola, Azerbaijan Bahrain, Brunei, Chad, Rep. of Congo, Ecuador, Equatorial Guinea, Gabon, Iran, Iraq, Kazakhstan, Kuwait, Libya, Nigeria, Oman, Qatar, Saudi Arabia, Sudan, Timor-Leste, Trinidad and Tobago, Turkmenistan, United Arab Emirates, Yemen, Venezuela); with the remaining countries in a residual 'Rest of the World' group.
    • كانون الأول 2009
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 نيسان, 2019
      تحديد مجموعة بيانات
      The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of this Outlook provides a unique tool to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest rates and exchange rates, the balance of payments, government and of households, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual and quarterly data for the historical period and for the projection period. For this latter period, quarterly data are available for the G7 countries, and the OECD regions, while annual data are available for all OECD countries and for non-OECD regions. Quarterly series are seasonally adjusted. Variables are defined in such a way that they are as homogenous as possible over the countries. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Annual Labour Force Statistics and the Main Economic Indicators.
    • تشرين الأول 2020
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2020
      تحديد مجموعة بيانات
      The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of this Outlook provides a unique tool to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest rates and exchange rates, the balance of payments, government and of households, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual and quarterly data for the historical period and for the projection period. For this latter period, quarterly data are available for the G7 countries, and the OECD regions, while annual data are available for all OECD countries and for non-OECD regions. Quarterly series are seasonally adjusted. Variables are defined in such a way that they are as homogenous as possible over the countries. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Annual Labour Force Statistics and the Main Economic Indicators.
    • تشرين الأول 2020
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2020
      تحديد مجموعة بيانات
      Current data with full Archive version is available here: https://knoema.com/OECDEO2020DEC/economic-outlook-no-108-december-2020
  • L
    • كانون الأول 2021
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: manish pandey
      تم الوصول في: 03 كانون الأول, 2021
      تحديد مجموعة بيانات
      The OECD Long-Term Baseline Scenario is a projection of some major economic variables beyond the short-term horizon of the OECD Economic Outlook. It covers all OECD economies, non-OECD G20 economies and key partners. The projection horizon is currently 2060. For the historical period and the short-run projection horizon, the series are consistent with those of the OECD Economic Outlook number in the dataset title. The definitions, sources and methods are also the same, except where noted explicitly (such as coverage of the non-OECD and world aggregates). For more details on the methodology, please see Boxes 1 to 3 in The Long View: Scenarios for the World Economy to 2060 and the references therein.The baseline scenario is a projection conditional on a number of assumptions, notably that countries do not carry out institutional and policy reforms. It is used as a reference point to illustrate the potential impact of structural reforms in alternative scenarios, such as those discussed in The Long View: Scenarios for the World Economy to 2060. The data for these alternative scenarios are not available here but can be obtained on request by writing to [email protected].
  • P
    • نيسان 2024
      المصدر: Numbeo
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 نيسان, 2024
      تحديد مجموعة بيانات
      Data cited at: Numbeo-https://www.numbeo.com/pollution/rankings_by_country.jsp?title=2020 Pollution Index is an estimation of the overall pollution in the city. The biggest weight is given to air pollution, than to water pollution/accessibility, two main pollution factors. Small weight is given to other pollution types. Pollution Exp Scale is using an exponential scale to show very high numbers for very polluted cities, and very low numbers for unpolluted cities. Therefore to calculate formula it uses the exponential function to calculate the index.