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الهند

  • الرئيس:Ram Nath Kovind
  • رئيس الوزراء:Narendra Modi
  • العاصمة:New Delhi
  • اللغات:Hindi 41%, Bengali 8.1%, Telugu 7.2%, Marathi 7%, Tamil 5.9%, Urdu 5%, Gujarati 4.5%, Kannada 3.7%, Malayalam 3.2%, Oriya 3.2%, Punjabi 2.8%, Assamese 1.3%, Maithili 1.2%, other 5.9% note: English enjoys the status of subsidiary official language but is the most important language for national, political, and commercial communication; Hindi is the most widely spoken language and primary tongue of 41% of the people; there are 14 other official languages: Bengali, Telugu, Marathi, Tamil, Urdu, Gujarati, Malayalam, Kannada, Oriya, Punjabi, Assamese, Kashmiri, Sindhi, and Sanskrit; Hindustani is a popular variant of Hindi/Urdu spoken widely throughout northern India but is not an official language (2001 census)
  • الحكومة
  • مكتب الإحصائيات القومي
  • السكان والأشخاص:1,352,617,328 (2018)
  • المساحة ، كم مربع:2,973,190
  • الناتج المحلي الإجمالي للفرد ، بالدولار الأمريكي:2,016 (2018)
  • الناتج المحلي الإجمالي ، مليار دولار أمريكي حالي:2,726.3 (2018)
  • مؤشر GINI:No data
  • تصنيف سهولة ممارسة الأعمال:77

Inflation

All datasets:  C E F G I M N P
  • C
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • تشرين الأول 2019
      المصدر: Ministry of Statistics and Programme Implementation, India
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This is the New Series of Consumer Price Index for Rural & Urban with base year 2012. Published by Central Statistical Office and released on 12th of every month. It covers (1) All India Consumer Price Index (Rural/Urban) (2) State Level Consumer Price Index (Rural/Urban) Up to October 2016
  • E
    • أيار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 أيار, 2019
      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.   The database contains annual data (for all variables) and quarterly figures (for a subset of variables). 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 the 15 May 2019.   Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for the major non-OECD economies. Thus, besides OECD and the OECD euro area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.
    • تموز 2019
      المصدر: European Commission
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 أيلول, 2019
      تحديد مجموعة بيانات
      Dataset includes European Economic economic forecast releases from Winter 2018 through Summer 2019(Interim).
  • F
    • أيلول 2017
      المصدر: Knoema
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 أيلول, 2017
      تحديد مجموعة بيانات
      Collect food prices data in your country and earn up to $120 every month.We are looking for data collectors who will go to the specific markets weekly, collect data on food prices for about 25 items and submit them into our system.
  • G
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey.   The G20 CPI has been calculated for the headline indicators only (CPI All items / HICP Total). It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year's relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs).
    • تشرين الأول 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries (with the exception of Turkey) that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey. It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year’s relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs). The table presents the data for all non-EU countries. The HICP tables for France, Germany, Italy, the United Kingdom, and the euro area and European Union can be found under the HICP tables.
  • I
    • نيسان 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 نيسان, 2019
      تحديد مجموعة بيانات
      The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year. Use this database to find data on national accounts, inflation, unemployment rates, balance of payments, fiscal indicators, trade for countries and country groups (aggregates), and commodity prices whose data are reported by the IMF. Data are available from 1980 to the present, and projections are given for the next two years. Additionally, medium-term projections are available for selected indicators. For some countries, data are incomplete or unavailable for certain years. Changes to the April 2019 Database:  FYR Macedonia is now called North Macedonia. In February 2019, Zimbabwe adopted a new local currency unit, the RTGS dollar, which has become the official unit of account. Efforts are underway to revise and update all national accounts series to the new RTGS dollar. Current data are based on IMF staff estimates of price and exchange rate developments in US (and RTGS) dollars. Staff estimates of US dollar values may differ from authorities’ estimates.    
  • M
    • شباط 2018
      المصدر: Economic Planning Unit, Malaysia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 آذار, 2018
      تحديد مجموعة بيانات
      Selected World Indicators - Gross Domestic Products (1980 - 2018) - Inflation (1980 - 2018) - World Trade (1980 - 2018) 2018 values are forecast data.
  • N
  • P
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Principal Global Indicators (PGI) dataset provides internationally comparable data for the Group of 20 economies (G-20) and economies with systemically important financial sectors that are not members of the G-20. The PGI facilitates the monitoring of economic and financial developments for these jurisdictions. Launched in 2009, the PGI website is hosted by the IMF and is a joint undertaking of the Inter-Agency Group of Economic and Financial Statistics (IAG).

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