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India

  • Presidente:Ram Nath Kovind
  • Primer Ministro:Narendra Modi
  • Capital:New Delhi
  • Idiomas: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)
  • Gobierno
  • Instituto Nacional de Estadística
  • Población:1.324.171.354 (2016)
  • Área:2.973.190 (2016)
  • PIB per cápita:1.709 (2016)
  • GDP, billion current US$:2.263,5 (2016)
  • Índice de GINI:33,601680369 (2012)
  • Ranking de Facilidad para Hacer Negocios:130 (2016)
Todos los conjuntos de datos:  A B C E F H I M O P R S T U W
  • A
  • B
    • junio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 10 febrero, 2017
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      Greenhouse Gas (GHG) emissions from burning crop residues consist of methane (CH4) and nitrous oxide (N2O) gases produced by the combustion of a percentage of crop residues burnt on-site. The mass of fuel available for burning should be estimated taking into account the fractions removed before burning due to animal consumption, decay in the field, and use in other sectors (e.g., biofuel, domestic livestock feed, building materials, etc.). FAOSTAT emission estimates are computed at Tier 1 following the IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, reguions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O, Gg CO2eq and CO2eq from CH4 and N2O, by crop (maize, rice, sugarcane and wheat) and by aggregates. Implied emission factors for N2O and CH4 as well activity data (biomass burned) are also provided.
  • C
    • febrero 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 01 marzo, 2017
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • diciembre 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 10 febrero, 2017
      Seleccionar base de datos
      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three subsectors of agriculture, forestry, and fishing are completely specified. In other cases, complete disaggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
    • enero 2015
      Fuente: Department of Agriculture Cooperation, India
      Subido por: Knoema
      Acceso el: 03 noviembre, 2015
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    • junio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 10 febrero, 2017
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      GHG emissions data from cultivation of organic soils are those associated with nitrous oxide gas from cultivated organic soils under cropland (item: cropland organic soils) and grassland (item: grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by the two aggregated. Implied emission factor for N2O as well activity data (areas) are also provided.
  • E
    • diciembre 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 13 enero, 2017
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    • junio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 10 febrero, 2017
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      Greenhouse Gas (GHG) emissions from burning of savanna consist of methane (CH4) and nitrous oxide (N2O) gases produced from the burning of vegetation biomass in the following five land cover types: Savanna, Woody Savanna, Open Shrublands, Closed Shrublands, and Grasslands. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (savanna, woody savanna, closed shrubland, open shrubland, grassland) and by aggregates (all categories, savanna and woody savanna, closed and open shrubland). Implied emission factors for N2O and CH4 as well activity data (burned area and biomass burned) are also provided.
    • junio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 26 diciembre, 2016
      Seleccionar base de datos
      Manure ManagementGreenhouse gas (GHG) emissions from manure management consist of methane and nitrous oxide gases from aerobic and anaerobic manure decomposition processes. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factors, direct and indirect emissions (for both N2O and CO2eq) as well as N content in manure are also provided.
    • febrero 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 09 febrero, 2017
      Seleccionar base de datos
      Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.
    • febrero 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 09 febrero, 2017
      Seleccionar base de datos
      Greenhouse gas (GHG) emissions data from cropland are currently limited to emissions from cropland organic soils. They are those associated with carbon losses from drained histosols under cropland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol5.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • febrero 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 09 febrero, 2017
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      Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.
    • febrero 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 09 febrero, 2017
      Seleccionar base de datos
      Greenhouse gas (GHG) emissions data from grassland are currently limited to emissions from grassland organic soils. They are those associated with carbon losses from drained histosols under grassland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol6.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • febrero 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 09 febrero, 2017
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      Land Use Total contains all GHG emissions and removals produced in the different Land Use sub-domains, representing the three IPCC Land Use categories: cropland, forest land, and grassland, collectively called emissions/removals from the Forestry and Other Land Use (FOLU) sector. FOLU emissions consist of CO2 (carbon dioxide), CH4 (methane) and N2O (nitrous oxide) associated with land management activities. CO2 emissions/removals are derived from estimated net carbon stock changes in above and below-ground biomass pools of forest land, including forest land converted to other land uses. CH4 and N2O, and additional CO2 emissions are estimated for fires and drainage of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided as by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CO2eq from CH4 and N2O, net emissions/removals as GG CO2 and Gg CO2eq, by underlying land use emission sub-domain and by aggregate (land use total).
    • junio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 10 febrero, 2017
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      Greenhouse gas (GHG) emissions from enteric fermentation consist of methane gas produced in digestive systems of ruminants and to a lesser extent of non-ruminants. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), goats, horses, llamas, mules, sheep, swine (breeding and market)) and by species aggregates (all animals, camels and llamas, cattle, mules and asses, sheep and goats, swine). Implied emission factor for CH4 and activity data are also provided
    • agosto 2016
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 01 septiembre, 2016
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      Percent of household final consumption expenditures spent on food, alcoholic beverages, and tobacco that were consumed at home, 2009-2012. The data are computed by Birgit Meade (202-694-5159), ERS/USDA, EUROMONITOR data, June 2015.
  • F
    • mayo 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 16 junio, 2017
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      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • julio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 03 agosto, 2016
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      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the programme 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.
    • septiembre 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 03 octubre, 2017
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      The Price domain of FAOSTAT contains annual data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 130 countries and for some 200 commodities, representing over 97 percent of the world’s value of gross agricultural production (at 1999-2001 International Dollar Prices). PriceSTAT contains data from 1991 onwards. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
    • noviembre 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 27 diciembre, 2016
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      Farmers produce food and fiber using a wide variety of farm practices and management systems that differ by commodity, region, and farm and operator characteristics. The mix of inputs, practices, and technologies used by farmers, when combined with land, labor, and water resources, affects production costs; farm income; and soil, water and air quality.
    • mayo 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 16 junio, 2017
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      Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of production measures production in monetary terms at the farm gate level. Since intermediate uses within the agricultural sector (seed and feed) have not been subtracted from production data, this value of production aggregate refers to the notion of "gross production". Value of gross production is provided in both current and constant terms and is expressed in US dollars and Standard Local Currency (SLC). The current value of production measures value in the prices relating to the period being measured. Thus, it represents the market value of food and agricultural products at the time they were produced. Knowing this figure is helpful in understanding exactly what was happening within a given economy at that point in time. Often, this information can help explain economic trends that emerged in later periods and why they took place. Value of production in constant terms is derived using the average prices of a selected year or years, known as the base period. Constant price series can be used to show how the quantity or volume of products has changed, and are often referred to as volume measures. The ratio of the current and constant price series gives a measure of price movements. US dollar figures for value of gross production are converted from local currencies using official exchange rates as prevailing in the respective years. The SLC of a country is the local currency prevailing in the latest year. Expressing data series in one uniform currency is useful because it avoids the influence of revaluation in local currency, if any, on value of production
    • julio 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 04 octubre, 2017
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      Producer Price Indices - AnnualIndices of agricultural producer prices measure the average annual change over time in the selling prices received by farmers (prices at the farm-gate or at the first point of sale). Annual data are provided for over 80 countries. The three categories of producer price indices available in FAOSTAT comprise: Single-item price indices, Commodity group indices and the Agriculture producer price index.
    • octubre 2011
      Fuente: Food and Agricultural Policy Research Institute
      Subido por: Knoema
      Acceso el: 25 diciembre, 2012
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      FAPRI U.S. and World Outlook presents multi-year projections for the United States and world agricultural sectors. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. These reports have been produced annually and used by congressional and agricultural leaders since 1985.
    • agosto 2013
      Fuente: International Fertilizer Industry Association
      Subido por: Knoema
      Acceso el: 30 octubre, 2013
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      Assessment of Fertilizer Use by Crop at the Global Level 2011. Fully understanding the contribution of the different crop types to fertilizer use at national, regional and global levels is a prerequisite to the development of sound fertilizer demand forecasts. IFA gathers information on fertilizer use by crop in the main fertilizer-consuming countries. IFA's Assessment currently covers 23 countries (considering the EU-27 as a single country), which account together for more than 90% of world fertilizer consumption, making it possible to analyze fertilizer use by crop type at the global level.
    • febrero 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 01 marzo, 2017
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      Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.
    • febrero 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 20 febrero, 2017
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      Commodity balances show balances of food and agricultural commodities in a standardized form. The scope of standardization is to present these data in a less detailed form for a selected number of commodities without causing any significant loss of the basic variables monitoring the agricultural sector. The selected commodities include the equivalents of their derived products falling in the same commodity group, but exclude the equivalents of by-products and derived commodities, which through processing, change their nature and become part of different commodity groups. A number of commodity/item aggregates have been included to offer synthetic information. Some of these are included with the aim of simplifying the extraction of all component commodities. Data shown in the item aggregates represent the sum of the component commodities as presented in this domain (standardized form). Commodity coverage: The commodity list in this domain has been generally confined to primary commodities - except for sugar, oils and fats and beverages. Whenever possible trade in processed commodities is expressed in the originating primary commodity equivalent. Rice is expressed in milled equivalent.
    • septiembre 2017
      Fuente: Knoema
      Subido por: Knoema
      Acceso el: 11 septiembre, 2017
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      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.
    • febrero 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 17 febrero, 2017
      Seleccionar base de datos
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • febrero 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 01 marzo, 2017
      Seleccionar base de datos
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • mayo 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 15 junio, 2017
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  • H
  • I
    • marzo 2017
      Fuente: Coffee Board of India
      Subido por: Knoema
      Acceso el: 26 junio, 2017
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      Note: FY2015-2016 is shown as 2016. The Coffee Board of India is an autonomous body, functioning under the Ministry of Commerce and Industry, Government of India. The Board serves as a friend, philosopher and guide of the coffee industry in India. Set up under an Act of the Parliament of India in the year 1942, the Board focuses on research, development, extension, quality upgradation, market information, and the domestic and external promotion of Coffees of India. Source: Market Intelligence & Statistical Unit Coffee Board
    • marzo 2017
      Fuente: Ministry of Statistics and Programme Implementation, Government of India
      Subido por: Knoema
      Acceso el: 18 julio, 2017
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      This dataset covers agriculture statistics for both national and state level for the following topics; Pattern of land utilization, Area under principal crops, Production of principal crops, Average yield, Cost estimates. Source: Ministry of Statistics and Programme Implementation (MOSPI) Note :Data refers to market year, for example data for 2001-02 market year is uploaded as data for 2002
    • junio 2017
      Fuente: Ministry of Statistics and Programme Implementation, Government of India
      Subido por: Knoema
      Acceso el: 06 julio, 2017
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      This dataset covers production of milk, wool and eggs in India. Note : Data refers to market year, for example data for 2001-02 market year is uploaded as year 2002
    • diciembre 2016
      Fuente: Ministry of Statistics and Programme Implementation, Government of India
      Subido por: Knoema
      Acceso el: 27 junio, 2017
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      India - Regional Statistics on Livestock and Poultry, 2012   Regional Statistics on Livestock and poultry. Note : Data refers to market year, for example data for 2001-02 market year is uploaded as data for 2002
    • diciembre 2014
      Fuente: Ministry of Statistics and Programme Implementation, Government of India
      Subido por: Knoema
      Acceso el: 27 diciembre, 2016
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      Source: Directorate General of Commercial Intelligence and Statistics, Ministry of Commerce and Industry. Note: FY2000-01 refered as 2001. i) Each of the three maritime states of Kerala, Tamil Nadu and Maharashtra is divided into three sub-trade blocks. The figures of the 3rd sub-trade block viz."other ports" for all these States are not shown in the breakup. Hence the sum of the breakup is slight lower than the yearly total. (ii) Three new states has been included as new trade blocks (Jharkhand, Chattishgarh & Uttaranchal) and other four have been amalgameted with other ports. Thus nuber of trade blocks stood 37 w.e.f. April, 2004.
    • diciembre 2014
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 04 septiembre, 2015
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      Fertilizer prices paid by farmers are shown in local currency per metric tonne of plant nutrients (N, P2O5 and K2O) for straight fertilizers and per metric tonne of product for mixed and complex fertilizers. They generally refer to bagged fertilizers. Prices are shown with subsidies deducted wherever possible. Caution should be exercised in intercountry comparisons since pricing points, price policies, credit arrangements, etc. are not uniform.
    • agosto 2014
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 02 septiembre, 2015
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      This data set contains estimates of total and marginal budget shares and income and price elasticities for nine broad consumption groups and eight food subgroups across 144 countries. Total and marginal budget shares and income and price elasticities are estimated using 2005 International Comparison Program (ICP) data, which is maintained by the ICP Development Data Group of the World Bank
    • julio 2016
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 22 julio, 2016
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      This dataset is the basis for the International Food Security Assessment 2016-2026 released in June 2016. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources.
    • junio 2012
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 28 julio, 2015
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      The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
    • noviembre 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 09 febrero, 2017
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      Data are collected directly from countries using a FAO questionnaire, which was developed in partnership with the International Monetary Fund, as the IMF collects global data on government expenditures and is the international organization responsible for developing guidelines on the Classification of Functions of Government (COFOG). The FAO questionnaire obtains additional detail relevant to Agriculture and Rural Development not available from the IMF questionnaire. The FAO dataset consists of a time series, from 2000 onwards, of government expenditures in terms of expenditures in: (1) Total; (2) Economic affairs; (3) Agriculture, Forestry, Fishing and Hunting, along with its three dis aggregated sub sectors of Agriculture, Forestry and Fishing; and 4) Environmental Protection. In addition, expenditures in each detailed function are further disaggregated into recurrent and capital expenditures, the latter of which serves as a proxy for expenditures in investment goods. Additional indicators include the total share of government expenditures allocated to agriculture, and an agriculture orientation index (ratio of the total share of government expenditures to agriculture, over the total share of GDP from agricultural value-added). Though the goal is to have complete and consistent coverage for all countries, relatively low response rates for this new domain and country level differences in data collection and reporting creates some challenges in providing a complete and consistent global dataset.
    • agosto 2014
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 13 abril, 2017
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      FAOSTAT database on Agriculture Machinery provides statistical series on Agricultural Machinery and Equipment statistical series referring to the following items: tractors, harvesters and threshers, irrigation pumps, milking machines, hand tools, and soil machines. The database includes estimates of agriculture machinery in use and value of import and export of agriculture machinery.
    • diciembre 2006
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 09 diciembre, 2016
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  • M
    • agosto 2017
      Fuente: National Horticulture Board, India
      Subido por: Knoema
      Acceso el: 26 septiembre, 2017
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      Major Fruit Producing Countries in The World, 2016-2017 (3rd Advance Estimates)
    • junio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 30 diciembre, 2016
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      GHG emissions from manure applied to soils consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) added to agricultural soils by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the application site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding and market) and turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and activity data (N content in manure) are also provided.
    • junio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 10 febrero, 2017
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      GHG emissions from manure left on pastures consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) left on pastures by grazing livestock. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as direct, indirect and total Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and N content in manure are also provided.
  • O
    • julio 2017
      Fuente: Organisation for Economic Co-operation and Development
      Subido por: Knoema
      Acceso el: 28 julio, 2017
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      This dataset provides an access to a limited version of the database presented in the OECD-FAO Agricultural Outlook 2017-2026.  For most of the commodity markets analysed in the Outlook, detailed supply and use balances are available, as well as domestic and international commodity prices.  For OECD countries, the data is accompanied by detailed meta-data. In most cases the data is going back to 1970 and extended to the latest year in the projections (currently 2026).
  • P
    • febrero 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 01 marzo, 2017
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      CropsCrop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Crop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Primary, Cereals, Coarse Grain, Citrus Fruit, Fruit, Jute & Jute-like Fibres, Oilcakes Equivalent, Oil crops Primary, Pulses, Roots and Tubers, Treenuts and Vegetables and Melons. Data are expressed in terms of area harvested, production quantity, yield and seed quantity. The objective is to comprehensively cover production of all primary crops for all countries and regions in the world. Cereals: Area and production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed or silage or used for grazing are therefore excluded. Area data relate to harvested area. Some countries report sown or cultivated area only; however, in these countries the sown or cultivated area does not differ significantly in normal years from the area actually harvested, either because practically the whole area sown is harvested or because the area surveys are conducted around the harvest period.  Vegetables, total (including melons): Data relate to vegetable crops grown mainly for human consumption. Crops such as cabbages, pumpkins and carrots, when explicitly cultivated for animal feed, are therefore excluded. Statistics on vegetables are not available in many countries, and the coverage of the reported data differs from country to country. In general, it appears that the estimates refer to crops grown in field and market gardens mainly for sale, thus excluding crops cultivated in kitchen gardens or small family gardens mainly for household consumption. Fruit, total (excluding melons): Data refer to total production of fresh fruit, whether finally used for direct consumption for food or feed, or processed into different products: dry fruit, juice, jam, alcohol, etc. Generally, production data relate to plantation crops or orchard crops grown mainly for sale. Data on production from scattered trees used mainly for home consumption are not usually collected. Production from wild plants, particularly berries, which is of some importance in certain countries, is generally disregarded by national statistical services. Therefore, the data for the various fruits and berries are rather incomplete. Bananas and plantains: Figures on bananas refer, as far as possible, to all edible fruit-bearing species of the genus Musa except Musa paradisiaca, commonly known as plantain. Unfortunately, several countries make no distinction in their statistics between bananas and plantains and publish only overall estimates. When this occurs and there is some indication or assumption that the data reported refer mainly to bananas, the data are included. The production data on bananas and plantains reported by the various countries are also difficult to compare because a number of countries report in terms of bunches, which generally means that the stalk is included in the weight. Dates, plantains and total grapes are included in the “total fruit” aggregated figures, while olives are excluded. Treenuts: Production of nuts (including chestnuts) relates to nuts in the shell or in the husk. Statistics are very scanty and generally refer only to crops for sale. In addition to the kind of nuts shown separately, production data include all other treenuts mainly used as dessert or table nuts, such as pecan nuts, pili nuts, sapucaia nuts and macadamia nuts. Nuts mainly used for flavouring beverages are excluded as are masticatory and stimulant nuts and nuts used mainly for the extraction of oil or butter, including areca/betel nuts, cola nuts, illipe nuts, karite nuts, coconuts, tung nuts, oilpalm nuts etc. http://www.fao.org/faostat/en/#data/QCCrops processedThe dataset covers the following commodities: Beer of barley; Cotton lint; Cottonseed; Margarine, short; Molasses; Oil, coconut (copra); Oil, cottonseed; Oil, groundnut; Oil, linseed; Oil, maize; Oil, olive, virgin; Oil, palm; Oil, palm kernel; Oil, rapeseed; Oil, safflower; Oil, sesame; Oil, soybean; Oil, sunflower; Palm kernels; Sugar Raw Centrifugal; Wine.  http://www.fao.org/faostat/en/#data/QD
    • mayo 2017
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 04 julio, 2017
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      The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare   Source: http://www.fao.org/faostat/en/#data/QA http://www.fao.org/faostat/en/#data/QL http://www.fao.org/faostat/en/#data/QP
  • R
    • diciembre 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 27 diciembre, 2016
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      Data on agricultural land-use are valuable for conducting studies on a various perspectives concerning agricultural production, food security and for deriving cropping intensity among others uses. Indicators derived from the land-use categories can also elucidate the environmental sustainability of countries’ agricultural practices. FAOSTAT Land-use statistics contain a wide range of information on variables that are significant for: understanding the structure of a country’s agricultural sector; making economic plans and policies for food security; deriving environmental indicators, including those related to investment in agriculture and data on gross crop area and net crop area which are useful for policy formulation and monitoring. Land-use resources sub-domain covers: Country area (including area under inland water bodies), Land area (excluding area under inland water bodies), Agricultural area, Arable land and Permanent crops, Arable land, Permanent crops, Permanent meadows and pastures, Forest area, Other land and Area equipped for irrigation. Detailed information on sub-categories: Temporary crops, Temporary meadows and pastures, Fallow land (temporary: less than 5 years), Permanent meadows and pastures cultivated and naturally grown and Organic land. Data are available from 1961 to 2009 for more than 200 countries and areas. Forest area: Global Forest Resource Assessment 2010 (FRA 2010) is the main source of forest area data in FAOSTAT. Data were provided by countries for years 1990, 2000, 2005 and 2010. Data for intermediate years were estimated for FAO using linear interpolation and tabulation. Some of the most interesting data for economists is found in this domain. The national distribution of land, among arable land, pastures and other lands, as well as the importance of irrigation are just some of the interesting data sets.
    • octubre 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 25 noviembre, 2016
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      UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labour, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labour, land and capital. Qualitative differences are important for each but are particularly difficult to summarise in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
    • diciembre 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 30 diciembre, 2016
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      UN FAO Resource Statistics - Pesticides Consumption The Pesticides (use) database includes data on the use of major pesticide groups (Insecticides, Herbicides, Fungicides, Plant growth regulators and Rodenticides) and of relevant chemical families. Data report the quantities (in tonnes of active ingredients) of pesticides used in or sold to the agricultural sector for crops and seeds. Information on quantities applied to single crops is not available
    • julio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 14 diciembre, 2016
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    • junio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 10 febrero, 2017
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      Greenhouse gas (GHG) emissions from rice cultivation consist of methane gas from the anaerobic decomposition of organic matter in paddy fields. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html) and the IPCC 2000 Good Practice Guidance and Uncertainty Management in National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/gp/english/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq. Implied emission factor for CH4 and activity data are also provided.
  • S
    • junio 2016
      Fuente: Food and Agriculture Organization
      Subido por: Knoema
      Acceso el: 26 diciembre, 2016
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      Synthetic FertilizersGreenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided
  • T
  • U
    • marzo 2017
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 19 junio, 2017
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      International baseline projections indicate supply, demand, and trade for major agricultural commodities for selected countries. These projections provide foreign country detail supporting the annual USDA agricultural baseline, which are long run, 10-year projections. Baseline in this dataset is year 2017.
    • enero 2017
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 14 marzo, 2017
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      Improving agricultural productivity has been the world's primary means of assuring that the needs of a growing population don't outstrip the ability of humanity to supply food. Over the past 50 years, productivity growth in agriculture has allowed food to become more abundant and cheaper (see Growth in Global Agricultural Productivity: An Update, Amber Waves, November 2013, and New Evidence Points to Robust But Uneven Productivity Growth in Global Agriculture, Amber Waves, September 2012). A broad concept of agricultural productivity is total factor productivity (TFP). TFP takes into account all of the land, labor, capital, and material resources employed in farm production and compares them with the total amount of crop and livestock output. If total output is growing faster than total inputs, we call this an improvement in total factor productivity ("factor" = input). TFP differs from measures like crop yield per acre or agricultural value-added per worker because it takes into account a broader set of inputs used in production. TFP encompasses the average productivity of all of these inputs employed in the production of all crop and livestock commodities. "Growth accounting" provides a practicable way of measuring changes in agricultural TFP across a broad set of countries and regions, and for the world as a whole, given limited international data on production outputs, inputs, and their economic values. The approach (described in detail in Documentation and Methods) gives agricultural TFP growth rates, but not TFP levels, across the countries and regions of the world in a consistent, comparable way. Most of the data for the analysis comes from FAOSTAT. In some cases Food and Agriculture Organization (FAO) input and output data are supplemented with data from national statistical sources. Note: To facilitate international comparisons, certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the U.S. data product.
    • octubre 2017
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 13 octubre, 2017
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      USDA Production, Supply and Distribution dataset contains current and historical official USDA data on production, supply and distribution of agricultural commodities for the United States and key producing and consuming countries.
  • W
    • julio 2015
      Fuente: Directorate of Economics & Statistics, India
      Subido por: Knoema
      Acceso el: 29 julio, 2015
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      The Directorate of Economics & Statistics has been compiling the data on retail prices of various commodities on weekly and monthly frequency sing long. It has also been bringing out retail price data in the annual publication "Agriculture Prices in India". These retail price data are received from all the major states and from various market centers.    DIRECTORATE OF ECONONMICS & STATISTICS, DEPARTMENT OF AGRICULTURE & COOPERATION MINISTRY OF AGRILCULTURE GOVERNMENT OF INDIA NEW DELHI
    • septiembre 2017
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 13 septiembre, 2017
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      World : Rice Area, Yield and Production
    • febrero 2017
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 28 febrero, 2017
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      World : Soybean Area, Yield and Production
    • octubre 2017
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 17 octubre, 2017
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      World Agricultural Supply and Demand Estimates Report (WASDE): World Supply and Use   Note: The dataset considered the market year as follows   2015/16 actual year referred as 2016, 2016/17 Estimated year referred as 2017 as well as 2017 Current Month 2017/18 Projection year referred as 2017 Monthly as well as 2018 Annual
    • agosto 2012
      Fuente: Multiple Sources
      Subido por: Carpe Facto
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      Coffee consumption by country.
    • septiembre 2017
      Fuente: World Bank
      Subido por: Knoema
      Acceso el: 27 septiembre, 2017
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      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
    • octubre 2017
      Fuente: U.S. Department of Agriculture
      Subido por: Knoema
      Acceso el: 16 octubre, 2017
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      This dataset covers the following public data available at US Dept. of Agriculture website. 1. Wheat: Supply and disappearance 2. Hard red winter wheat: Supply and disappearance 3. Hard red spring wheat: Supply and disappearance 4. Soft red winter wheat: Supply and disappearance 5. White wheat: Supply and disappearance Reference Market year (start from Jun-May) Q 1 in Market year: Jun-August Q 2 in Market year: Sep-Nov Q 3 in Market year: Dec-Feb Q 4 in Market year: March-May
    • noviembre 2015
      Fuente: Wine Institute
      Subido por: Knoema
      Acceso el: 15 septiembre, 2016
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      Vineyard acreage is based on United Nations Food & Agriculture Organization (FAO) data, Eurostat data and estimates and reports from individual countries. It includes vineyards used for the production of wine variety grapes, raisin variety grapes, table grapes (for the fresh market) and juice grapes (for the production of grape juice and grape juice concentrate). Wine consumption includes data for 225 countries during the period 2011-2014. Consumption has been estimated by TDA by aggregating the exports of the major wine producing countries to each individual country. The aggregation includes 41 countries including the EU 28, Argentina, Australia, Canada, China, Chile, Hong Kong, New Zealand, Singapore, South Africa, South Korea, Ukraine, United States, and Uruguay. The November 2015 revision pertains to Sweden. Wine production quantity indicated for China does not include the production of Chinese yellow wine; quantity indicated for Japan does not include the production of Sake; quantity indicated for Korea does not include the production of fruit wine and rice wine.