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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
All datasets:  A D E F G I K M N S T U W
  • A
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilizers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.
    • أيلول 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 أيلول, 2019
      تحديد مجموعة بيانات
      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • كانون الثاني 2014
      المصدر: World Resources Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 كانون الأول, 2015
      تحديد مجموعة بيانات
      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
    • آب 2015
      المصدر: World Resources Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 آذار, 2019
      تحديد مجموعة بيانات
      Suggested citation: Luo, T., R. Young, and P. Reig. 2015. "Aqueduct projected water stress rankings." Technical note. Washington, DC: World Resources Institute, August 215. Available online at http://www.wri.org/publication/aqueduct-projected-water-stress-country-rankings.    Supplemental Materials: Country Scores                         WRI projected future country-level water stress for 2020, 2030, and 2040 under business-as-usual (BAU), optimistic, and pessimistic scenarios. Each tab lists country projected water stress scores for each scenario and year, weighted by overall water withdrawals. Scores weighted by individual sectors (agricultural, domestic, and industrial) are provided as well.   These global projections are best suited to making comparisons among countries for the same year and among scenarios and decades for the same region. More detailed and localized data or scenarios can better estimate potential outcomes for specific regions and expose large sub-national variations that are subsumed under countrywide water-stress values. The country indicators face persistent limitations in attempting to simplify complex information, such as spatial and temporal variations, into a single number. They also do not account for the governance and investment structure of the water sector in different countries.    It is important to note the inherent uncertainty in estimating any future conditions, particularly those associated with climate change, future population and economic trends, and water demand. Additionally, care should be taken when examining the change rates of a country’s projected stress levels between one year and another, because the risk-score thresholds are not linear. For more information on these limitations, see the technical note.   Projections are described in further detail in: Luck, M., M. Landis, and F. Gassert, “Aqueduct Water Stress Projections: Decadal Projections of Water Supply and Demand Using CMIP5 GCMs,” Technical note (Washington, DC: World Resources Institute, April 2015), http://www.wri.org/publication/aqueduct-water-stress-projections.   Water Stress withdrawals / available flow Water stress measures total annual water withdrawals (municipal, industrial, and agricultural) expressed as a percentage of the total annual available blue water. Higher values indicate more competition among users. Score Value [0-1) Low (<10%) [1-2) Low to medium (10-20%) [2-3) Medium to high (20-40%) [3-4) High (40-80%) [4-5] Extremely high (>80%)    
  • D
    • شباط 2014
      المصدر: National Institution for Transforming India-NITI Aayog
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 أيلول, 2019
      تحديد مجموعة بيانات
      Title: Drinking Water Facility and Source of Water - Based on Sample Survey   Description: The data refers to information on the drinking water facility and source of water in the selected sample states. It provides details of Availability of Drinking Water (%age) and Source of Drinking Water (Well, Tap or other). The outcome is based on the sample survey undertaken by Programme Evaluation Organisation (PEO), Planning commission which covered 48 districts and 480 schools across 17 states of India for 'Performance Evaluation Report of Cooked Mid-Day Meal (CMDM), 2010'. The reference period for the study was 2000 to 2006.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: Availability; Tap; Well; CMDM; Scheme; School; Cooked; Meal   Group: Education   Sectors: Elementary; Education   Note: This data set has been sourced from 'Performance Evaluation Report of Cooked Mid-Day Meal (CMDM) - Social Development Intervention, 2010' by PEO, Planning commission; CMDM-Cooked Mid-Day Meal
  • E
    • تموز 2013
      المصدر: Earth Policy Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تموز, 2013
      تحديد مجموعة بيانات
      Contains annual data series on water consumption, irrigated area, solar water and space heating area, countries overpumping aquifers and water deficits for the countries and regions through the time period from 1961 to 2013.
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
  • F
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset shows the state and changes over time in the abstractions of freshwater resources in OECD countries. Water abstractions are a major pressure on freshwater resources, particularly from public water supplies, irrigation, industrial processes and cooling of electric power plants. It has significant implications for issues of quantity and quality of water resources. This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total withdrawal. When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by Member countries may vary considerably among countries.
    • آذار 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 كانون الأول, 2018
      تحديد مجموعة بيانات
      Austria: Long-term annual average 1961-90 Belgium: Data exclude underground flows and include estimates Canada: Long-term annual average 1971-2004 Chile: Long-term annual average 2000-2014 Colombia: Long-term annual average 1974-2012 Czech Republic: The long-term annual average refers to the latest 20 years Denmark: Long-term annual average 1995-2015 Estonia: Long-term annual average refers to the latest 30 years and includes only data about fresh surface water France: Long-term annual average : 1981-2010. Inflow and outflow: outflow is computed using the throughput of rivers having their source in France but the mouth outside France; measures are taken at the French border using the daily throughputs. Precipitation and real evapotranspiration data are derived from a gridded atmospheric model (grid point of 8 by 8 km2) applied to the territory of metropolitan France. Germany: Long-term annual average 1995-2015 Hungary: Long-term annual average 1971-2000 Ireland: Long-term annual average 1981-2010. Groundwater figures are not available and therefore are not included. Israel: Long-term annual average 2000-2013 Italy: Long-term annual average 1971-2000 Japan: Long-term annual average 1971-2006 Korea: Long-term annual average 1974-2003 Latvia: Long-term annual average 2005-2013 Lithuania: Long-term annual average 2000-2014 Mexico: The long-term annual average covers 30 years Netherlands: Long-term annual average 1981-2010 New Zealand: Long-term annual average 1995-2014 Norway: The data for precipitation and evotranspiration refer to the period LTAA (long-term annual average) 1961-90 whereas the others to the period LTAA 1981-2010, that is why precipitation minus evotranspiration is different from internal resources. Poland: Long-term annual average 1951-2014. Estimates on the base of mean annual flow. For more information, see: http://www.kzgw.gov.pl/ , http://www.pgi.gov.pl/ , http://www.psh.gov.pl/ , http://www.imgw.pl/ Slovak Republic: Long-term annual average is 1961-1990 for internal resources, 1961-2000 for external inflow Slovenia: Long-term annual average is 1971-2000 Sweden: Long-term annual average : 1990-2009. The difference between precipitation and evapotranspiration refers to storage Switzerland: Long-term annual average : 1981-2010 Turkey: Long-term annual average: data for internal flow refers to the period 1980-2011 Costa Rica: The long-term annual average refers to 1990-2014 Russia: The long-term annual average refers to 1936-1980
  • G
  • I
    • أيار 2011
      المصدر: Census India
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 كانون الأول, 2013
      تحديد مجموعة بيانات
    • تشرين الأول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: International virtual water flow statistics  Publication: https://waterfootprint.org/en/resources/waterstat/international-virtual-water-flow-statistics/ Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) The water footprint of humanity, Proceedings of the National Academy of Sciences, 109(9): 3232–3237 License: https://creativecommons.org/licenses/by-sa/3.0/
  • K
  • M
    • آذار 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
  • N
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      It provides a breakdown of government expenditure according to their function. To meet this end, economic flows of expenditure must be aggregated according to the Classification of the Functions of Government (COFOG).
    • تشرين الأول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: National water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/national-water-footprint-statistics/ Water footprints of national consumption (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. Water footprints of national production (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. License: https://creativecommons.org/licenses/by-sa/3.0/
  • S
    • أيلول 2019
      المصدر: Social Progress Imperative
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الأول, 2019
      تحديد مجموعة بيانات
        Data cited at: Social Progress Index https://www.socialprogress.org/download The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2019 Social Progress Index. Therefore, using the 2019 Social Progress Index framework and methodology, we provide comparable historical data for additional five years of the Social Progress Index, from 2014 to 2018.
    • شباط 2014
      المصدر: National Institution for Transforming India-NITI Aayog
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 أيلول, 2019
      تحديد مجموعة بيانات
      Title: State-wise Percentage of Schools having Drinking Water Facility - DISE : Flash Statistics   Description: The data refers to state-wise percentage of schools having Drinking Water Facility in primary and all schools categories during the years 2010 to 2013.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: NITI Aayog/Planning Commission   Keywords: Water; Facility; Elementary; Education; primary; School   Group: Elementary Education   Sectors: Elementary; Education   Note: Source : DISE 2012-13 : Flash Statistics
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 نيسان, 2019
      تحديد مجموعة بيانات
    • حزيران 2019
      المصدر: Sustainable Development Solutions Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تموز, 2019
      تحديد مجموعة بيانات
      Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The 2019 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
  • T
  • U
    • أيلول 2018
      المصدر: United Nations Environment Programme
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تشرين الأول, 2018
      تحديد مجموعة بيانات
    • تموز 2017
      المصدر: United Nations Children's Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 آب, 2017
      تحديد مجموعة بيانات
      According to UNICEF report, in 2015, seven out of ten people used a safely managed drinking water service. Universal access to safe drinking water is a fundamental need and human right. Securing access for all would go a long way in reducing illness and death, especially among children. Since 2000, 1.4 billion people have gained access to basic drinking water services, such as piped water into the home or a protected dug well. In 2015, 844 million people still lack a basic water service and among them almost 159 million people still collected drinking water directly from rivers, lakes and other surface water sources. The data reveal pronounced disparities, with the poorest and those living in rural areas least likely to use a basic service. “Safely managed” water services represent an ambitious new rung on the ladder used to track progress on drinking water. In 2015, 5.2 billion people used safely managed services, i.e. accessible on premises, available when needed and free from contamination. A further 1.3 billion used a ‘basic’ water service, i.e. improved sources within 30 minutes per round trip to collect water. Over a quarter of a billion (258 million) used a ‘limited’ service where water collection from an improved source exceeded 30 minutes. In most countries the burden of water collection continues to fall mainly to women and girls.
  • W
    • أيلول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    
    • أيلول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • أيلول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2012) A global assessment of the water footprint of farm animal products, Ecosystems, 15(3): 401–415. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • أيلول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) National water footprint accounts: the green, blue and grey water footprint of production and consumption, Value of Water Research Report Series No.50, UNESCO-IHE, Delft, the Netherlands. License: https://creativecommons.org/licenses/by-sa/3.0/  
    • آب 2018
      المصدر: EarthEcho Water Challenge
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آب, 2018
      تحديد مجموعة بيانات
      The pH of pure water is 7. In general, water with a pH lower than 7 is considered acidic, and with a pH greater than 7 is considered basic. The normal range for pH in surface water systems is 6.5 to 8.5, and the pH range for groundwater systems is between 6 to 8.5.
    • تموز 2017
      المصدر: World Health Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 شباط, 2018
      تحديد مجموعة بيانات

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