Произошла ошибка. Подробности Скрыть
У вас есть несохраненные страницы. Восстановить Отмена

Фолклендские острова

  • Население, человек:2 931 (2012)
  • Площадь, кв км:12 173
  • ВВП на душу населения, долл. США:No data
  • ВВП, млрд. долл. США:No data
  • Индекс Джини:No data
  • Рейтинг Ease of Doing Business:No data
Все наборы данных:  A B C D E F G H I J L M N O P R S T U V W
  • A
    • Апрель 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 августа, 2019
      Выбрать
      The Livestock Patterns domain of the FAOSTAT Agri-Environmental Indicators contains data on livestock numbers, shares of major livestock species and livestock densities in the agricultural area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961–2014. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.
    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
    • Июль 2018
      Источник: International Labour Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 июля, 2018
      Выбрать
      This table presents data on average monthly earnings converted to a common currency. Data in U.S. dollars are converted from local currency using exchange rates, while data in constant 2011 U.S. dollars are converted using 2011 purchasing power parities (PPPs)   Dataset splitted into below datasets:-   Local Currency (Total) - https://knoema.com/EAR_TEAR_NOC_NB   Local Currency (Men) - https://knoema.com/EAR_MEAR_NOC_NB   Local Currency (Women) - https://knoema.com/EAR_FEAR_NOC_NB   Constant 2011 PPP $ (Total) - https://knoema.com/EAR_4MPT_NOC_NB   Constant 2011 PPP $ (Men) - https://knoema.com/EAR_4MPM_NOC_NB   Constant 2011 PPP $ (Women) - https://knoema.com/EAR_4MPW_NOC_NB
  • B
    • Октябрь 2018
      Источник: Statistics Denmark
      Загружен: Knoema
      Дата обращения к источнику: 06 марта, 2019
      Выбрать
    • Сентябрь 2019
      Источник: United Nations COMTRADE
      Загружен: Knoema
      Дата обращения к источнику: 18 сентября, 2019
      Выбрать
      Both ethanol and biodiesel are classified under the HS-6 digit categories that also contain other products. Biodiesel is an industrial product (as it is produced through a chemical process called transesterification) and classified under HS code 382490 - products, preparations and residual products of the chemical or allied industries not elsewhere specified. Ethanol is classified as an agriculture product under HS code 2207, which covers un-denatured (HS 2207 10) and denatured alcohol (HS 2207 20).
    • Март 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 01 августа, 2019
      Выбрать
  • C
    • Сентябрь 2019
      Источник: Government of Canada
      Загружен: Knoema
      Дата обращения к источнику: 17 сентября, 2019
      Выбрать
      This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Current data June 2018. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau
    • Сентябрь 2019
      Источник: Statistics Canada
      Загружен: Knoema
      Дата обращения к источнику: 17 сентября, 2019
      Выбрать
      For the location "Puerto Rico" data is available from 1990.
    • Апрель 2013
      Источник: Falkland Islands Government
      Загружен: Knoema
      Дата обращения к источнику: 15 мая, 2014
      Выбрать
      Census of Population and Housing (Households) of Falkland Islands, 2012
    • Март 2016
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2016
      Выбрать
    • Август 2019
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 26 августа, 2019
      Выбрать
      The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group's parent is headquartered. While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group's controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups' country risk exposures, on either an immediate counterparty or an ultimate risk basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group's home country.   Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".   Data cited at : https://www.bis.org/statistics/index.htm
    • Август 2019
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 19 августа, 2019
      Выбрать
      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • Декабрь 2018
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 22 февраля, 2019
      Выбрать
      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • Январь 2019
      Источник: NYU Stern
      Загружен: Knoema
      Дата обращения к источнику: 13 февраля, 2019
      Выбрать
      Citation: Damodaran, Aswath, Equity Risk Premiums (ERP): Determinants, Estimation and Implications – The 2016 Edition (March 5, 2016). Available at SSRN: https://ssrn.com/abstract=2742186 or http://dx.doi.org/10.2139/ssrn.2742186   This dataset summarizes the latest bond ratings and appropriate default spreads for different countries. While you can use these numbers as rough estimates of country risk premiums, you may want to modify the premia to reflect the additional risk of equity markets. To estimate the long term country equity risk premium, I start with a default spread, which I obtain in one of two ways: (1) I use the local currency sovereign rating (from Moody's: www.moodys.com) and estimate the default spread for that rating (based upon traded country bonds) over a default free government bond rate. For countries without a Moody's rating but with an S&P rating, I use the Moody's equivalent of the S&P rating. To get the default spreads by sovereign rating, I use the CDS spreads and compute the average CDS spread by rating. Using that number as a basis, I extrapolate for those ratings for which I have no CDS spreads. (2) I start with the CDS spread for the country, if one is available and subtract out the US CDS spread, since my mature market premium is derived from the US market. That difference becomes the country spread. For the few countries that have CDS spreads that are lower than the US, I will get a negative number. You can add just this default spread to the mature market premium to arrive at the total equity risk premium. I add an additional step. In the short term especially, the equity country risk premium is likely to be greater than the country's default spread. You can estimate an adjusted country risk premium by multiplying the default spread by the relative equity market volatility for that market (Std dev in country equity market/Std dev in country bond). I have used the emerging market average of 1.12 (estimated by comparing a emerging market equity index to an emerging market government/public bond index) to estimate country risk premium.I have added this to my estimated risk premium of 5.08% for mature markets (obtained by looking at the implied premium for the S&P 500) to get the total risk premium. Notes:  The year of publication has been considered as per publication date. For example, data published on 2018-Jan considered as 2018, similarly 2019-Jan as 2019    
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      GHG emissions data from the cultivation of organic soils are those associated with nitrous oxide gas from 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 their aggregation. Implied emission factor for N2O as well activity data (areas) are also provided.
  • D
    • Август 2019
      Источник: National Bureau of Statistics, Seychelles
      Загружен: Knoema
      Дата обращения к источнику: 10 сентября, 2019
      Выбрать
      Demographics Statistics of Seychelles
  • E
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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.
    • Февраль 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      Agriculture Total contains all the emissions produced in the different agricultural emissions sub-domains (enteric fermentation, manure management, rice cultivation, synthetic fertilizers, manure applied to soils, manure left on pastures, crop residues, cultivation of organic soils, burning of crop residues, burning of savanna, energy use), providing a picture of the contribution to the total amount of GHG emissions from agriculture. GHG emissions from agriculture consist of non-CO2 gases, namely methane (CH4) and nitrous oxide (N2O), produced by crop and livestock production and management activities. 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 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 CO2 and CO2eq (from CH4 and N2O), by underlying agricultural emission sub-domain and by aggregate (agriculture total, agriculture total plus energy, agricultural soils).
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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.
    • Июнь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
    • Май 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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.
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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.
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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.
    • Декабрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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.
    • Май 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      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).
    • Май 2018
      Источник: Federal Institute for Geosciences and Natural Resources
      Загружен: Knoema
      Дата обращения к источнику: 16 мая, 2018
      Выбрать
    • Январь 2018
      Источник: Yale Center for Environmental Law & Policy
      Загружен: Knoema
      Дата обращения к источнику: 02 февраля, 2018
      Выбрать
      Data cited at: Wendling, Z. A., Emerson, J. W., Esty, D. C., Levy, M. A., de Sherbinin, A., et al. (2018). 2018 Environmental Performance Index. New Haven, CT: Yale Center for Environmental Law & Policy. https://epi.yale.edu/   The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
    • Апрель 2019
      Источник: Australian Bureau of Statistics
      Загружен: Knoema
      Дата обращения к источнику: 05 апреля, 2019
      Выбрать
      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only. Population_Estimates:_Concepts,_Sources_and_Methods_2009
    • Февраль 2019
      Источник: Australian Bureau of Statistics
      Загружен: Knoema
      Дата обращения к источнику: 18 февраля, 2019
      Выбрать
      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only.
    • Сентябрь 2015
      Источник: Multiple Sources
      Загружен: Knoema
      Дата обращения к источнику: 10 сентября, 2015
      Выбрать
    • Декабрь 2014
      Источник: Department of Statistics, Jordan
      Загружен: Knoema
      Дата обращения к источнику: 20 мая, 2019
      Выбрать
    • Май 2019
      Источник: Statistics Norway
      Загружен: Knoema
      Дата обращения к источнику: 17 мая, 2019
      Выбрать
      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • Август 2019
      Источник: Statistics Norway
      Загружен: Knoema
      Дата обращения к источнику: 16 августа, 2019
      Выбрать
      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • Июль 2019
      Источник: State Statistical Office, Republic of North Macedonia
      Загружен: Knoema
      Дата обращения к источнику: 10 июля, 2019
      Выбрать
      Methodological explanationsSymbols usedSource: State Statistical Office, Year 2018M12, preliminary data
    • Август 2019
      Источник: State Statistical Office, Republic of North Macedonia
      Загружен: Knoema
      Дата обращения к источнику: 09 августа, 2019
      Выбрать
      Methodological explanationsSymbols used Source: State Statistical Office Year 2018 preliminary data
    • Июнь 2019
      Источник: Maximiliano Herrera's Human Rights Site
      Загружен: Knoema
      Дата обращения к источнику: 17 сентября, 2019
      Выбрать
      Data cited at: Maximiliano Herrera's Human Rights Site    Fahrenheit values calculated using formula. Fahrenheit  T(°F) = T(°C) × 9/5 + 32 for Country data calculated average for each country locations.
  • F
    • Май 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • Ноябрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      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
    • Июль 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 09 августа, 2019
      Выбрать
    • Июль 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 августа, 2019
      Выбрать
      This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. Foreign direct investment (FDI) is an investment made by a resident enterprise in one economy (direct investor or parent enterprise) with the objective of establishing a lasting interest in an enterprise that is resident in another economy (direct investment enterprise or foreign affiliate). The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The ownership of 10% or more of the voting power of a direct investment enterprise by a direct investor is evidence of such a relationship. FDI flows comprise mainly three components:acquisition or disposal of equity capital. FDI includes the initial equity transaction that meets the 10% threshold and all subsequent financial transactions and positions between the direct investor and the direct investment enterprise;reinvestment of earnings which are not distributed as dividends;inter-company debt.   FDI flows are transactions recorded during the reference period (typically year or quarter). FDI stocks are the accumulated value held at the end of the reference period (typically year or quarter). In 2014, many countries implemented the new guidelines for the compilation of FDI data based on the Sixth edition of the Balance of Payments and International Investment Position Manual (BPM6) and the Fourth edition of OECD Benchmark Definition of Foreign Direct Investment (BD4). One of the major changes introduced in BPM6 and BD4 is the presentation of FDI statistics on an asset/liability basis instead of the directional principle (as recommended by the previous editions of these guidelines). On an asset/liability basis, direct investment statistics are organized according to whether the investment relates to an asset or a liability for the reporting country. Under the directional principle, the direct investment statistics are organized according to the direction of the investment for the reporting country - either inward or outward. The two presentations differ in their treatment of reverse investment (reverse investment is when an affiliate provides loans to its parent). Under the directional presentation, reverse investment is subtracted to derive the total outward or inward investment of the reporting economy. Therefore, FDI statistics on an asset/liability basis tends to be higher than those under the directional principle, but such is not always the case. While the presentation on an asset/liability basis is appropriate for macroeconomic analysis (i.e. the impact on the balance of payments), the presentation on directional principle is more appropriate to assist policymakers and government officials to formulate investment policies. This is because the presentation of the FDI data on directional basis reflects the direction of influence by the foreign direct investor underlying the direct investment: inward or outward direct investment. FDI data in this table are on directional principle, unless otherwise indicated.
    • Август 2018
      Источник: General Authority for Statistics, Kingdom of Saudi Arabia
      Загружен: Shakthi Krishnan
      Дата обращения к источнику: 10 сентября, 2018
      Выбрать
    • Сентябрь 2019
      Источник: U.S. Census Bureau
      Загружен: Knoema
      Дата обращения к источнику: 08 сентября, 2019
      Выбрать
    • Май 2018
      Источник: World Trade Organization
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2019
      Выбрать
      World Bank/WTO/UNCTAD - Annual Trade in Services Dataset
    • Август 2019
      Источник: Kuwait Central Statistical Bureau
      Загружен: Knoema
      Дата обращения к источнику: 28 августа, 2019
      Выбрать
    • Январь 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2019
      Выбрать
      The database contains data on the production and trade in roundwood and primary wood and paper products for all countries and territories in the world. The main types of primary forest products included in are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. These products are detailed further. The definitions are available. The database contains details of the following topics: - Roundwood removals (production) by type of wood and assortment - Production and trade in roundwood, woodfuel and other basic products - Industrial roundwood by assortment and species - Sawnwood, panels and other primary products - Pulp and paper & paperboard. More detailed information on wood products, including definitions, can be found at http://www.fao.org/forestry/statistics/80572/en/
    • Декабрь 2016
      Источник: Carbon Dioxide Information Analysis Center
      Загружен: Knoema
      Дата обращения к источнику: 17 мая, 2017
      Выбрать
      World and National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Source: Tom Boden, Gregg Marland and Bob Andres (Oak Ridge National Laboratory)
  • G
    • Март 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 марта, 2018
      Выбрать
      This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
    • Июль 2011
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 сентября, 2017
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Bilateral Migration Database Publication: https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database License: http://creativecommons.org/licenses/by/4.0/   Global Bilateral Migration Database: Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.
    • Март 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 апреля, 2018
      Выбрать
      Contains the volume of fish catches landed by country or territory of capture, by species or a higher taxonomic level, by FAO major fishing areas, and year for all commercial, industrial, recreational and subsistence purpose
    • Ноябрь 2017
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2017
      Выбрать
      This database contains statistics on the annual production of fishery commodities and imports and exports of fishery commodities by country and commodities in terms of volume and value from 1976.
    • Апрель 2018
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2018
      Выбрать
      Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Indicator tables, charts and maps with relatively good quality and coverage across countries, as well as links to other international sources, are provided under each theme. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aqua stat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.
    • Март 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 апреля, 2018
      Выбрать
      Contains global production statistics (capture and aquaculture). This database contains the volume of aquatic species caught by country or area, by species items, by FAO major fishing areas, and year, for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included
    • Сентябрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 05 октября, 2015
      Выбрать
      DescriptionThe Global Forest Resources Assessment 2015 (FRA 2015) is the most comprehensive assessment of forests and forestry to date - not only in terms of the number of countries and people involved - but also in terms of scope. It examines the current status and recent trends for about 90 variables covering the extent, condition, uses and values of forests and other wooded land, with the aim of assessing all benefits from forest resources. Information has been collated from 233 countries and territories for four points in time: 1990, 2000, 2005 and 2010. The results are presented according to the seven thematic elements of sustainable forest management. FAO worked closely with countries and specialists in the design and implementation of FRA 2010 - through regular contact, expert consultations, training for national correspondents and ten regional and subregional workshops. More than 900 contributors were involved, including 178 officially nominated national correspondents and their teams. The outcome is better data, a transparent reporting process and enhanced national capacity in developing countries for data analysis and reporting. The final report of FRA 2010 was published at the start of the latest biennial meeting of the FAO' Committee on Forestry and World Forest Week, in Rome.
    • Ноябрь 2018
      Источник: Emission Database for Global Atmospheric Research
      Загружен: Knoema
      Дата обращения к источнику: 14 февраля, 2019
      Выбрать
      Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.
    • Октябрь 2017
      Источник: Emission Database for Global Atmospheric Research
      Загружен: Knoema
      Дата обращения к источнику: 10 января, 2018
      Выбрать
      Emissions are calculated for the following substances: 1) Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2); 2) Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). 3) Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2). 4) Primary particulates: Fine Particulate Matter (PM10) - Carbonaceous speciation (BC , OC) is under progress. 5) Stratospheric Ozone Depleting Substances: Chlorofluorocarbons (CFC-11, 12, 113, 114, 115), Halons (1211, 1301, 2402), Hydrochlorofluorocarbons (HCFC-22, 124, 141b, 142b), Carbon Tetrachloride (CCl4), Methyl Bromide (CH3Br) and Methyl Chloroform (CH3CCl2). Emissions (EM) for a country C are calculated for each compound x on an annual basis (y) and sector wise (for i sectors, multiplying on the one hand the country-specific activity data (AD), quantifying the human activity for each of the i sectors, with the mix of j technologies (TECH) for each sector i, and with their abatement percentage by one of the k end-of-pipe (EOP) measures for each technology j, and on the other hand the country-specific emission factor (EF) for each sector i and technology j with relative reduction (RED) of the uncontrolled emission by installed abatement measure k. Emissions in are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics.
    • Ноябрь 2018
      Источник: International Telecommunication Union
      Загружен: Knoema
      Дата обращения к источнику: 17 января, 2019
      Выбрать
    • Февраль 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 14 августа, 2019
      Выбрать
      This dataset shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP). Normalized trade balance (NTB) of goods and services is defined as the trade balance (total exports less total imports) divided by the total trade (exports plus imports).   NTB=(EX-IM)/EX+IM)
    • Февраль 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 14 августа, 2019
      Выбрать
      This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
    • Февраль 2017
      Источник: National Institute of Statistics and Censuses, Costa Rica
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2017
      Выбрать
      National Accounts of Costa Rica
    • Апрель 2018
      Источник: Global Trade Alert
      Загружен: Knoema
      Дата обращения к источнику: 16 мая, 2019
      Выбрать
      Global Trade Alert - Trade Coverage Estimates   Data Cited at: https://www.globaltradealert.org
  • H
  • I
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 ноября, 2017
      Выбрать
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 ноября, 2017
      Выбрать
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible. The exact national source and reference period for each file is given in Table A.1 (see the methodological document).
    • Декабрь 2018
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2018
      Выбрать
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Сентябрь 2017
      Источник: National Institute of Statistics, Republic of Guinea
      Загружен: Knoema
      Дата обращения к источнику: 14 декабря, 2018
      Выбрать
      Data cited at: https://guinea.opendataforafrica.org/kruwzwd Imports of products by zone and country of origin, 2011 - 2012
    • Март 2019
      Источник: Global Trade Alert
      Загружен: Knoema
      Дата обращения к источнику: 03 апреля, 2019
      Выбрать
      The Global Trade Alert (GTA) was launched in June 2009 when it was feared that the global financial crisis would lead governments to adopt widespread 1930s-style beggar-thy-neighbour policies. Although global in scope, the GTA has given particular attention to the policy choices of the G-20 governments ever since their leaders made a “no protectionism” pledge in Washington DC in November 2008. Although initially conceived as a trade policy monitoring initiative, as thousands of policy announcements have been documented, the GTA has become a widely-used input for analysis and decision-making by firms, industry associations, journalists, researchers, international organisations, and governments. This reflects the fact that, as the International Monetary Fund noted in 2016, the GTA “has the most comprehensive coverage of all types of trade-discriminatory and trade liberalizing measures.”   Data Cited at: https://www.globaltradealert.org
    • Апрель 2019
      Источник: Ministry of Finance, India
      Загружен: Knoema
      Дата обращения к источнику: 22 июля, 2019
      Выбрать
      The dataset provides the data on the direction of imports and exports by regions and Countries in Crore rupees and Million U.S, dollars   India's Economic Survey: Direction of Trade, 2018-19
    • Сентябрь 2019
      Источник: U.S. Energy Information Administration
      Загружен: Knoema
      Дата обращения к источнику: 06 сентября, 2019
      Выбрать
    • Декабрь 2017
      Источник: United Nations Development Programme
      Загружен: Knoema
      Дата обращения к источнику: 06 февраля, 2018
      Выбрать
      The estimates are based on official statistics on the foreign-born or the foreign population, classified by sex, and age. Most of the statistics utilised to estimate the international migrant stock were obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants.
    • Январь 2018
      Источник: United Nations Development Programme
      Загружен: Knoema
      Дата обращения к источнику: 16 марта, 2018
      Выбрать
    • Июнь 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 июня, 2019
      Выбрать
      Most of the data published in this database are taken from the individual contributions of national correspondents appointed by the OECD Secretariat with the approval of the authorities of Member countries. Consequently, these data have not necessarily been harmonised at international level. This network of correspondents, constituting the Continuous Reporting System on Migration (SOPEMI), covers most OECD Member countries as well as the Baltic States, Bulgaria and Romania. SOPEMI has no authority to impose changes in data collection procedures. It is an observatory which, by its very nature, has to use existing statistics. However, it does play an active role in suggesting what it considers to be essential improvements in data collection and makes every effort to present consistent and well-documented statistics.
    • Сентябрь 2019
      Источник: Baker Hughes
      Загружен: Knoema
      Дата обращения к источнику: 10 сентября, 2019
      Выбрать
      data cited at: Baker Hughes Rig Count Rotary Rig:  A rotary rig rotates the drill pipe from surface to drill a new well (or sidetracking an existing one) to explore for, develop and produce oil or natural gas. The Baker Hughes Rotary Rig count includes only those rigs that are significant consumers of oilfield services and supplies and does not include cable tool rigs, very small truck mounted rigs or rigs that can operate without a permit. Non-rotary rigs may be included in the count based on how they are employed. For example, coiled tubing and workover rigs employed in drilling new wells are included in the count.
    • Сентябрь 2019
      Источник: Statistics Denmark
      Загружен: Knoema
      Дата обращения к источнику: 11 сентября, 2019
      Выбрать
      International trade in services, quarterly by imports and exports, country and time
    • Октябрь 2018
      Источник: Statistics Denmark
      Загружен: Knoema
      Дата обращения к источнику: 06 марта, 2019
      Выбрать
    • Октябрь 2016
      Источник: Statistics Netherlands
      Загружен: Knoema
      Дата обращения к источнику: 06 октября, 2018
      Выбрать
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: International trade; Imports and exports of services by country, 2003-2013 https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=80414ENG&_theme=1118 License: http://creativecommons.org/licenses/by/4.0/  This table contains information on Dutch imports and exports of services broken down by various service types and countries (groups). From 2006 onwards more detailed information is available than the years before. In addition, the annual figures show more detailed information than the quarterly figures. Data available from 2003 to 2013. Status of the figures: The figures are definite. Changes as of 8 October 2014: None, this table has been discontinued. When will new figures be published? No longer applicable.
    • Октябрь 2015
      Источник: Water FootPrint Network
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2015
      Выбрать
      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/
    • Январь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labor, 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: labor, land and capital. Qualitative differences are important for each but are particularly difficult to summarize in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
    • Январь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
  • J
    • Май 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 03 июня, 2019
      Выбрать
      The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
  • L
  • M
    • Июль 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 23 июля, 2019
      Выбрать
      The Maritime Transport Costs (MTC)database contains data from 1991 to the most recent available year of bilateral maritime transport costs. Transport costs are available for 43 importing countries (including EU15 countries as a custom union) from 218 countries of origin at the detailed commodity (6 digit) level of the Harmonized System 1988. This dataset should only be used in conjunction with the paper Clarifying Trade Costs in Maritime Transport which outlines methodology, data coverage and caveats to its use. Key Statistical Concept Import charges represent the aggregate cost of all freight, insurance and other charges (excluding import duties) incurred in bringing the merchandise from alongside the carrier at the port of export and placing it alongside the carrier at the first port of entry in the importing country. Insurance charges are therefore included in the transport cost variables and are estimated to be approximately 1.5% of the import value of the merchandise.
    • Сентябрь 2019
      Источник: General Authority for Statistics, Kingdom of Saudi Arabia
      Загружен: Knoema
      Дата обращения к источнику: 06 сентября, 2019
      Выбрать
    • Июнь 2019
      Источник: United Nations COMTRADE
      Загружен: Knoema
      Дата обращения к источнику: 25 июня, 2019
      Выбрать
    • Январь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2015
      Выбрать
      This table presents merchandise trade complementarity index which assesses the suitability of preferential trade agreement between two economies given the structure of one potential partners’ exports match the imports of the other potential partner. Changes over time may indicate whether the trade profiles are becoming more or less compatible.
    • Февраль 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 июня, 2019
      Выбрать
      Merchandise: Trade value, volume, unit value, terms of trade indices and purchasing power index of exportsThis dataset contains export and import volume indices, rounding out trade value. Export and import unit value indices, derived terms of trade and purchasing power of exports indices are also provided in various base and reference years (2000, 2010 and 2015).The value index is the current value of exports (FOB) or imports (CIF) converted to United States dollars and expressed in percentage. The volume index is derived as the percentage ratio of the export or import value index to the corresponding unit value index (value index / unit value index *100) unless otherwise noted at country level.The weights used for the calculation of the indices correspond to base year 2000. For convenience, and to facilitate international comparisons, the series have been rescaled to new references 2010=100 and 2015=100.
    • Октябрь 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 26 октября, 2018
      Выбрать
      Merchandise trade matrix - detailed products, exports and imports in thousands of United States dollars, annual This dataset presents merchandise trade by trading partner and product based on three digit level SITC Revision 3 commodity classification, expressed in thousands of dollars. In addition, data are also summarized by geographical region, economic and trade grouping, for both reporting country and its trading partner, and by product grouping.
    • Октябрь 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 30 октября, 2018
      Выбрать
    • Июль 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 17 сентября, 2019
      Выбрать
      This Dataset presents merchandise trade by trading partner and product based on the SITC commodity classification, Revision 3, at the one- and two-digit level, expressed in thousands of United States dollars. The data are also summarized by group of economies, for both reporting economy and trading partner, and by broader product groups.
    • Октябрь 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2018
      Выбрать
      This Dataset presents product concentration and diversification indices.  The diversification index indicates whether the structure of exports or imports by product of a given country or country group differs from the world pattern. The product concentration index shows how exports and imports of individual countries or country groups are concentrated on a few products or otherwise distributed in a more homogeneous manner among a series of products.
    • Апрель 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 15 апреля, 2019
      Выбрать
      This dataset shows the value of total merchandise exports and imports, expressed in millions of United States dollars and percentages of the world total
    • Июнь 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 19 июля, 2018
      Выбрать
      This dataset shows statistics on the international maritime transport. It contains data on the size of the world merchant fleet by flag of registration and by type of ship. Data are presented in thousands of dead-weight tons (DWT). The dataset presents also, for each region or country 1) its share in the world fleet, and 2) the share of a ship-type in its fleet. From 2011 onwards, the figures on numbers of ships are also available, as well as the data in gross tonnage (GT).
  • N
  • O
    • Ноябрь 2018
      Источник: Ocean Health Index
      Загружен: Shakthi Krishnan
      Дата обращения к источнику: 23 ноября, 2018
      Выбрать
      Ocean Health Index
    • Октябрь 2013
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 октября, 2013
      Выбрать
      This table gives information on official financial flows by type and sources. It is further broken down by individual country, geographical region and economic grouping (as recipients); and expressed in millions of dollars, as percentage of total flows and as percentage of region.
  • P
    • Май 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2019
      Выбрать
      The FAOSTAT Population module contains time series data on population, by sex and urban/rural. The series consist of both estimates and projections for different periods as available from the original sources, namely: 1. Population data refers to the World Population Prospects: The 2015 Revision from the UN Population Division. 2. Urban/rural population data refers to the World Urbanization Prospects: The 2014 Revision from the UN Population Division. Long term series estimates and projections from 1961 to 2050. http://www.un.org/en/development/desa/population/
    • Февраль 2019
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 03 апреля, 2019
      Выбрать
      The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare  
    • Апрель 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 12 апреля, 2019
      Выбрать
  • R
    • Октябрь 2018
      Источник: International Renewable Energy Agency
      Загружен: Knoema
      Дата обращения к источнику: 05 апреля, 2019
      Выбрать
      World : Renewable Electricity Capacity and Generation Statistics
    • Июль 2019
      Источник: International Renewable Energy Agency
      Загружен: Knoema
      Дата обращения к источнику: 13 августа, 2019
      Выбрать
      The International Renewable Energy Agency (IRENA) produces comprehensive, reliable data on renewable energy capacity and use worldwide. Renewable Energy Statistics 2019 provides data sets on power-generation capacity for 2009-2018, actual power generation for 2009-2017 and renewable energy balances for over 130 countries and areas for 2016-2017.
    • Август 2019
      Источник: Reserve Bank of Australia
      Загружен: Knoema
      Дата обращения к источнику: 01 сентября, 2019
      Выбрать
      Reserve Bank of Australia Assets and Liabilities
    • Сентябрь 2018
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 07 декабря, 2018
      Выбрать
      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.
  • S
    • Май 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2019
      Выбрать
      This table presents annual statistics on international trade in services of individual economies by trading partner and by 78 selected service categories. In addition, the table contains data for services trade of various groups of economies with world" and for selected principal service categories. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC). The figures are shown in four different measures:millions of United States dollarspercentages of the world totalannual percentage changes (growth rates)shares of each service category in total services.   Sources: UNCTAD, WTO and ITC secretariats’ calculations, based on:IMF, Balance of Payments StatisticsEurostat, online databaseOECD, OECD.StatUN DESA Statistics Division, UN Service Trade Statistical DatabaseOther international and national sourcesUNCTAD-WTO estimates.
    • Август 2018
      Источник: Social Progress Imperative
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2018
      Выбрать
      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 2018 Social Progress Index. Therefore, using the 2018 Social Progress Index framework and methodology, we provide comparable historical data for four additional years of the Social Progress Index, from 2014 to 2017. To read more about our methodology, please see the 2018 Methodology here https://www.socialprogress.org/index/methodology
    • Апрель 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 12 апреля, 2019
      Выбрать
    • Май 2018
      Источник: Suriname Tourism Foundation
      Загружен: Knoema
      Дата обращения к источнику: 03 июля, 2018
      Выбрать
      Location:-Visitors are coming from mentioned location.(World is total of all visitors) Nationality:-Nationality of visitors, whether the nationality of the visitors is same as the location or they belong to different nationality.(Under this dimension "Total" represents total number of visitors by their nationality) Ports:-Tourist arrival via ports.
    • Ноябрь 2018
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 10 декабря, 2018
      Выбрать
      The Sustainable Development Goals Report 2018 reviews progress in the third year of implementation of the 2030 Agenda presenting an overview with charts and info-graphics of highlights of the 17 Goals, followed by chapters that focus in more depth on the Goals under review at the high-level political forum in July 2018. This report follows the recently published report of the United Nations Secretary-General on "Progress towards the Sustainable Development Goals" (E/2018/64), both of which are based on the global indicator framework developed by the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and agreed by the General Assembly in July 2017 in resolution 71/313. The launch of The Sustainable Development Goals Report 2018 is accompanied by the Global SDG Indicators Database, which presents country level data and global and regional aggregates compiled through the UN System and other international organizations.
  • T
    • Июнь 2018
      Источник: World Inequality Database
      Загружен: Knoema
      Дата обращения к источнику: 08 июня, 2018
      Выбрать
      The World Inequality Report 2018 relies on a cutting-edge methodology to measure income and wealth inequality in a systematic and transparent manner. By developing this report, the World Inequality Lab seeks to fill a democratic gap and to equip various actors of society with the necessary facts to engage in informed public debates on inequality.   Table: MacroData: Which contains macro data series (aggregate and total income and wealth variables, as well as population variables and other macro indicator such as deflators, exchange rates, etc.) Inequality Data: Which contains inequality data series (income and wealth shares, thresholds, averages for different percentiles of the population).
    • Декабрь 2015
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 19 августа, 2017
      Выбрать
      Data cited at: United Nations Statistics Division https://unstats.un.org/home/ Publication: https://unstats.un.org/unsd/gender/worldswomen.html License: https://creativecommons.org/licenses/by-nc/4.0/   The World’s Women 2015 comprises eight chapters covering critical areas of policy concern: population and families, health, education, work, power and decision-making, violence against women, environment, and poverty. In each area, a life-cycle approach is introduced to reveal the experiences of women and men during different periods of life—from childhood and the formative years, through the working and reproductive stages, to older ages. The statistics and analyses presented in the following pages are based on a comprehensive and careful assessment of a large set of available data from international and national statistical agencies. Each chapter provides an assessment of gaps in gender statistics, highlighting progress in the availability of statistics, new and emerging methodological developments, and areas demanding further attention from the international community
    • Февраль 2019
      Источник: World Integrated Trade Solution
      Загружен: Knoema
      Дата обращения к источнику: 07 марта, 2019
      Выбрать
      This dataset provides trade and tariff data for countries where the reporter is "World".
    • Июль 2019
      Источник: Statistics Botswana
      Загружен: Knoema
      Дата обращения к источнику: 19 июля, 2019
      Выбрать
      Data cited at: https://botswana.opendataforafrica.org/stuwedg Tourism Statistics by country of origin, Botswana
    • Октябрь 2018
      Источник: National Statistics Bureau, Bhutan
      Загружен: Knoema
      Дата обращения к источнику: 20 декабря, 2018
      Выбрать
    • Январь 2016
      Источник: National Institute of Statistics, Madagascar
      Загружен: Knoema
      Дата обращения к источнику: 12 июля, 2019
      Выбрать
      Data cited at: https://madagascar.opendataforafrica.org/MGTRS2016
  • U
    • Май 2019
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2019
      Выбрать
      The United Nations Industrial Commodity Statistics Database provides annual statistics on the production of major industrial commodities by country. Data are provided in terms of physical quantities as well as monetary value. The online database covers the years 1995 to 2013. Additional historical data is available on request, based on a different product list, for the years 1950-2003.
    • Июнь 2019
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 11 июня, 2019
      Выбрать
      The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and secondary; conventional and non-conventional; and new and renewable sources of energy. The Energy Statistics dataset, covering the period from 1990 onwards, is available at UNdata
    • Июнь 2015
      Источник: United Nations Environment Programme
      Загружен: Knoema
      Дата обращения к источнику: 30 июня, 2016
      Выбрать
      The GEO Data Portal is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. The GEO Data Portal gives access to a broad socio-economic data sets from authoritative sources at global, regional, sub-regional and national levels. The contents of the Data Portal cover environmental themes such as climate, forests and freshwater and many others, as well as socioeconomic categories, including education, health, economy, population and environmental policies.
    • Сентябрь 2018
      Источник: United Nations Environment Programme
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2018
      Выбрать
    • Февраль 2019
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 05 сентября, 2019
      Выбрать
    • Июль 2017
      Источник: United Nations Children's Fund
      Загружен: Knoema
      Дата обращения к источнику: 23 августа, 2017
      Выбрать
      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.
    • Ноябрь 2018
      Источник: DevInfo
      Загружен: Knoema
      Дата обращения к источнику: 05 декабря, 2018
      Выбрать
      This database contains country-reported GAM data. For HIV epidemiological estimates, as well as ART and PMTCT indicators
  • V
  • W
    • Сентябрь 2015
      Источник: Water FootPrint Network
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2015
      Выбрать
      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/  
    • Май 2012
      Источник: World Health Organization
      Загружен: Knoema
      Дата обращения к источнику: 01 июня, 2012
      Выбрать
      Body mass index (BMI) is a simple index of weight-for-height that is commonly used to classify overweight and obesity in adults. It is defined as a person's weight in kilograms divided by the square of his height in meters (kg/m2). The WHO definition is: a BMI greater than or equal to 25 is overweight a BMI greater than or equal to 30 is obesity. BMI provides the most useful population-level measure of overweight and obesity as it is the same for both sexes and for all ages of adults. However, it should be considered a rough guide because it may not correspond to the same degree of fatness in different individuals.
    • Март 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2019
      Выбрать
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Sustainable Energy For All Publication: https://datacatalog.worldbank.org/dataset/sustainable-energy-all License: http://creativecommons.org/licenses/by/4.0/   The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.
    • Апрель 2019
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 12 апреля, 2019
      Выбрать
      World Indicators of Skills for Employment (WISE) provide a comprehensive system of information relating to skills development. WISE presents countries with data upon which they can design skills policies and programs and monitor their impact on key outcomes, including responsiveness to current and emerging patterns of labour market demand, employability, productivity, health status, gender equity and lifelong learning.The database covers the period from 1990 to the present and consists of five inter-related domains of indicators:Contextual factors drive both the supply of and demand for skills.Skill acquisition covers investments in skills, the stock of human capital and its distribution.Skill requirements measure the demand for skills arising in the labour market.The degree of matching captures how well skills obtained through education and training correspond to the skills required in the labour market.Outcomes reflect the impact of skills on economic performance and employment and social outcomes.
    • Июнь 2019
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 14 июня, 2019
      Выбрать
      The World Investment Report focuses on trends in foreign direct investment (FDI) worldwide, at the regional and country levels and emerging measures to improve its contribution to development. This Report further focuses on:Analysis of the trends in FDI during the previous year, with especial emphasis on the development implications.Ranking of the largest transnational corporations in the world.In-depth analysis of a selected topic related to FDI.Policy analysis and recommendations.Statistical annex with data on FDI flows and stocks for 196 economies.
    • Июнь 2019
      Источник: Ethnologue
      Загружен: Knoema
      Дата обращения к источнику: 21 июня, 2019
      Выбрать
      Data Cited at: http://www.ethnologue.com/statistics   The World Languages section of this site provides country summaries and language-by-language information. This section steps above that detail to offer a summary view of the world language situation. Specifically, it offers numerical tabulations of languages and number of speakers by world area, by language size, by language status, by language family, and by country.    
    • Ноябрь 2018
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 февраля, 2019
      Выбрать
      This table provides estimates from 1950 to 2016 and projections from 2017 to 2050 (Medium Variant), of total population and urban population, expressed in thousands and as a percentage of total population, respectively.
    • Сентябрь 2017
      Источник: World Trade Organization
      Загружен: Knoema
      Дата обращения к источнику: 16 ноября, 2017
      Выбрать
      World Tourism Organization, Country Specified Database, 2016
    • Май 2018
      Источник: United Nations Department of Economic and Social Affairs
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2018
      Выбрать
      The 2018 Revision of World Urbanization Prospects presents the latest United Nations estimates of the size of urban and rural populations for 233 countries or areas from 1950 to 2018, with projections until 2050. It also includes data on population size for close to 1900 urban settlements having 300000 inhabitants or more in 2018. These 1900 cities or urban areas are now home to nearly 60 per cent of the world’s urban population.
    • Июнь 2019
      Источник: World Wind Energy Association
      Загружен: Knoema
      Дата обращения к источнику: 05 июля, 2019
      Выбрать
    • Август 2018
      Источник: Scimago Lab
      Загружен: Knoema
      Дата обращения к источнику: 16 августа, 2018
      Выбрать
      SCImago Journal Rank: It expresses the average number of weighted citations received in the selected year by the documents published in the selected journal in the three previous years, --i.e. weighted citations received in year X to documents published in the journal in years X-1, X-2 and X-3. H Index: The h index expresses the journal's number of articles (h) that have received at least h citations. It quantifies both journal scientific productivity and scientific impact and it is also applicable to scientists, countries, etc. Total Documents: Output of the selected period. All types of documents are considered, including citable and non citable documents. Total Cites (3years): Number of citations received in the seleted year by a journal to the documents published in the three previous years, --i.e. citations received in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Self Cites: Number of journal's self-citations in the selected year to its own documents published in the three previous years, --i.e. self-citations in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Cited Documents: Number of documents cited at least once in the three previous years, --i.e. years X-1, X-2 and X-3 Cites per Document (2 years): Average citations per document in a 2 year period. It is computed considering the number of citations received by a journal in the current year to the documents published in the two previous years, --i.e. citations received in year X to documents published in years X-1 and X-2.
    • Ноябрь 2015
      Источник: Wine Institute
      Загружен: Knoema
      Дата обращения к источнику: 15 сентября, 2016
      Выбрать
      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.
    • Сентябрь 2018
      Источник: World Trade Organization
      Загружен: Knoema
      Дата обращения к источнику: 27 сентября, 2018
      Выбрать
      WTO statistical data sets: Total merchandise trade, Merchandise trade by commodity, Network of world merchandise trade, Selected regional integration agreements, Trade in commercial services, Merchandise trade indices.