حدث خطأ. التفاصيل إخفاء
لديك صفحات غير محفوظة. استعادة إلغاء

أذربيجان

  • الرئيس:Ilham Heydar oglu Aliyev
  • رئيس الوزراء:Novruz Ismayil oglu Mammadov
  • العاصمة:Baku (Baki, Baky)
  • اللغات:Azerbaijani (Azeri) (official) 92.5%, Russian 1.4%, Armenian 1.4%, other 4.7% (2009 est.)
  • الحكومة
  • مكتب الإحصائيات القومي
  • السكان والأشخاص:9,942,334 (2018)
  • المساحة ، كم مربع:82,670
  • الناتج المحلي الإجمالي للفرد ، بالدولار الأمريكي:4,721 (2018)
  • الناتج المحلي الإجمالي ، مليار دولار أمريكي حالي:46.9 (2018)
  • مؤشر GINI:No data
  • تصنيف سهولة ممارسة الأعمال:25
All datasets:  B C E F G I M P S T U V W Т ا ت
  • B
    • أيلول 2019
      المصدر: United Nations COMTRADE
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 أيلول, 2019
      تحديد مجموعة بيانات
      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).
  • C
  • E
    • كانون الثاني 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 شباط, 2019
      تحديد مجموعة بيانات
      Eurostat Dataset Id:enpr_etmain The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • كانون الثاني 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 شباط, 2019
      تحديد مجموعة بيانات
      Eurostat Dataset Id:enpr_ettot The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • كانون الثاني 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 شباط, 2019
      تحديد مجموعة بيانات
      Eurostat Dataset Id:enpr_etsitc The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • كانون الثاني 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 شباط, 2019
      تحديد مجموعة بيانات
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries in Eastern Europe, namely Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and Ukraine (UA). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain.
    • كانون الثاني 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 شباط, 2019
      تحديد مجموعة بيانات
      The focus of this domain is on the European Neighbourhood Policy (ENP) countries in Eastern Europe, namely Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and Ukraine (UA). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain.
    • أيار 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 تموز, 2019
      تحديد مجموعة بيانات
      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).
    • أيار 2017
      المصدر: Islamic Development Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 حزيران, 2017
      تحديد مجموعة بيانات
    • أيار 2019
      المصدر: Statistics Norway
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 أيار, 2019
      تحديد مجموعة بيانات
      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)
    • تشرين الأول 2019
      المصدر: Statistics Norway
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الأول, 2019
      تحديد مجموعة بيانات
      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)
    • آذار 2019
      المصدر: National Statistical Committee, Kyrgyz Republic
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 نيسان, 2019
      تحديد مجموعة بيانات
    • كانون الأول 2015
      المصدر: National Center for Statistics and Economic Studies, Republic of Congo
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تموز, 2019
      تحديد مجموعة بيانات
      Data cited at: https://rcongo.opendataforafrica.org/TREOC2015 This Dataset describes the list of common indicators from Trade External Data Of Congo
  • F
    • حزيران 2019
      المصدر: Ministry of Finance, R.O.C. (Taiwan)
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 حزيران, 2019
      تحديد مجموعة بيانات
      The statistics cover only goods exported to and imported from the economic territory of the Republic of China (Taiwan, Penghu, Kinmen and Matsu). Fish caught and sold overseas by national fishing vessels are also included in exports.Total Exports = Exports + Re-exports, Total Imports = Imports + Re-imports.Exports/re-exports is based on F.O.B. value. Imports/re-imports is based on C.I.F value.The same currency exchange rate from NT dollar to US dollar is applied to either imports/re-imports or exports/re-exports, which is the midpoint between selling and buying rates announced by Customs every 10 days in a month for filling Customs declaration purpose.Notes:  1. Prior to 2015, the value of exports includes bunker oil for the use of national vessels, aircrafts and other means of conveyance engaged in international trade. 2. Prior to 1998, the value of exports and imports by Continent/Country excludes re-exports and re-imports.   2019 values are year to date
    • تشرين الأول 2019
      المصدر: U.S. Census Bureau
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • أيار 2018
      المصدر: World Trade Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 نيسان, 2019
      تحديد مجموعة بيانات
      World Bank/WTO/UNCTAD - Annual Trade in Services Dataset
    • أيلول 2019
      المصدر: Bahrain Open Data Portal
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The dataset provided by the iGA via http://www.data.gov.bh and terms of use available at http://www.data.gov.bh/en/TermsOfUse . To the full extent permitted by law the iGA is not liable for any damage or loss of any kind caused directly or indirectly by the use of the datasets or any derived analyses or application
    • كانون الثاني 2019
      المصدر: National Statistics Institute, Cabo Verde
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تموز, 2019
      تحديد مجموعة بيانات
    • كانون الثاني 2019
      المصدر: German Chemicals Industry Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 شباط, 2019
      تحديد مجموعة بيانات
      Chemistry facts and figures of Foreign Trade, Germany Facts and figures for chemistry (2017), Foreign Trade
    • كانون الأول 2018
      المصدر: National Institute of Statistics of Djibouti
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 أيلول, 2019
      تحديد مجموعة بيانات
      Foreign Trade of Djibouti
    • كانون الأول 2018
      المصدر: Economic Timeseries Database-Economic Research and Policy Department, Central Bank of the Islamic Republic of Iran
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 آذار, 2019
      تحديد مجموعة بيانات
      Foreign Trade, Iran
    • آب 2019
      المصدر: Ministry of Development Planning and Statistics, Qatar
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 أيلول, 2019
      تحديد مجموعة بيانات
      Qatar: Foreign Merchandise Trade The foreign trade data reflects a clear image of the stages of economical growth in the State of Qatar, as it shows the commodities flow in the shape of national exports, re-exports, and imports to / from different countries of the world. The foreign trade tables contains detailed data for visible imports by country of origin and Exports and Re-Exports by country of destination. The commodity tables are classified by sections and items of the Harmonized System (H.S.) issued by World Customs Organization, which was adapted according to GCC’s needs to meet the actual movement of foreign trade in the region, in addition to other statistical tables. The customs declaration entry issued by Customs Department is the main source of statistical information according to the Special Trade System adopted by the State of Qatar.
    • تشرين الثاني 2018
      المصدر: Federal Competitiveness and Statistics Authority, United Arab Emirates
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      Data cited at: https://uaenumbers.fcsa.gov.ae/UAEITSS2018U3
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
  • G
  • I
    • تشرين الثاني 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الثاني, 2018
      تحديد مجموعة بيانات
    • تموز 2014
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 آب, 2014
      تحديد مجموعة بيانات
      The allocation of bilateral intermediate imports across using industries assumes that import coefficients are the same for all trade partners, i.e. SHAREipkt is identical across exporter countries. Hence, the bilateral pattern of imported intermediates from industry p is the same across all using industries k. However, it is different from the bilateral pattern of total imports from industry p because trade data (measured by VALUEijpt) allows distinguishing bilateral imports of intermediates from final good imports in industry p. While the BEC classification enables the identification of intermediate goods, no similar classification is available for trade in services, due to the high level of aggregation in services trade data. While goods trade data are based on customs declarations allowing the identification of goods at a highly disaggregated level, services trade data are based on a variety of information such as business accounts, administrative sources, surveys, and estimation techniques (Manual on Statistics of International Trade in Services, 2002). Hence, in the case of trade in services, VALUEijpt is the total value of imports of service p, i.e. both final and intermediate (and not only services that are used in the production of other goods and services, as in the case of goods data). By making an additional assumption and adjusting SHAREipkt, it is however possible to calculate trade in intermediate services. In the case of services imports, SHAREipkt is the share of imported service inputs p used by industry k in total imports of p of country i. In the case of services, besides the assumption that all trading partners have the same distribution of intermediate imports p across using industries k, it is furthermore required that the share of intermediate services in overall bilateral services imports of country i is the same across all partner countries j. Finally, it should be mentioned that trade data reported in the trade statistics do not fully match imports as reported in I-O tables. One main reason is that while trade data is recorded at consumer prices, I-O tables are evaluated at producer prices. There are also other differences such as the treatment of re-exports, scrap metal, waste products and second hand goods or unallocated trade data.
    • شباط 2019
      المصدر: National Statistical Office of Mongolia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Ministry of Finance, India
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تموز, 2019
      تحديد مجموعة بيانات
      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
    • حزيران 2017
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: ESCAP-World Bank: International Trade Costs Publication: https://datacatalog.worldbank.org/dataset/escap-world-bank-international-trade-costs License: http://creativecommons.org/licenses/by/4.0/   The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods for the 1995-2015 period. It is built on trade and production data collected in 178 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Nov. 2009), which estimates trade costs for each country pair using bilateral trade and gross national output. Trade costs are available for two sectors: trade in manufactured goods, and agriculture. Energy is excluded.
    • تشرين الأول 2019
      المصدر: Statistics Denmark
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الأول, 2019
      تحديد مجموعة بيانات
      International trade in services, quarterly by imports and exports, country and time
    • تشرين الأول 2016
      المصدر: Statistics Netherlands
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 تشرين الأول, 2018
      تحديد مجموعة بيانات
      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.
  • M
    • أيلول 2019
      المصدر: United Nations COMTRADE
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • كانون الثاني 2015
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 نيسان, 2015
      تحديد مجموعة بيانات
      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.
    • شباط 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 حزيران, 2019
      تحديد مجموعة بيانات
      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.
    • تشرين الأول 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 تشرين الأول, 2018
      تحديد مجموعة بيانات
      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.
    • تشرين الأول 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 تشرين الأول, 2018
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 أيلول, 2019
      تحديد مجموعة بيانات
      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.
    • تشرين الأول 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 كانون الأول, 2018
      تحديد مجموعة بيانات
      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.
    • نيسان 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 نيسان, 2019
      تحديد مجموعة بيانات
      This dataset shows the value of total merchandise exports and imports, expressed in millions of United States dollars and percentages of the world total
  • P
  • S
    • أيار 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 آب, 2019
      تحديد مجموعة بيانات
      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.
    • أيار 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 أيلول, 2019
      تحديد مجموعة بيانات
      This Dataset presents annual statistics on total international trade in services by individual country, geographical region and economic groups, expressed in millions of dollars. Percentages of the world total and the annual percentage changes are also indicated. International trade in total commercial services is included as a memo item. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC), and are published simultaneously by the three organizations.
  • T
    • آذار 2017
      المصدر: World Economic Forum
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آذار, 2017
      تحديد مجموعة بيانات
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Enabling Trade Report 2016 Publication URL: http://reports.weforum.org/global-enabling-trade-report-2016/ License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   The Enabling Trade Index (ETI) was developed within the context of the World Economic Forum’s Transportation Industry Partnership program, and was first published in The Global Enabling Trade Report 2008. The ETI measures the extent to which individual economies have developed institutions, policies, and services facilitating the free flow of goods over borders and to destination. The structure of the Index reflects the main enablers of trade, breaking them into four overall issue areas, captured in the subindexes: 1) The market access subindex measures the extent to which the policy framework of the country welcomes foreign goods into the economy and enables access to foreign markets for its exporters. 2) The border administration subindex assesses the extent to which the administration at the border facilitates the entry and exit of goods. 3) Infrastructure subindex takes into account whether the country has in place the transport and communications infrastructure necessary to facilitate the movement of goods within the country and across the border. 4) The business environment subindex looks at the quality of governance as well as at the overarching regulatory and security environment impacting the business of importers and exporters active in the country. Each of these four subindexes is composed in turn of a number of pillars of enabling trade, of which there are seven in all. These are: 1) Domestic market access; 2) Foreign market access; 3) Efficiency and transparency of border administration; 4) Availability and quality of transport infrastructure; 5) Availability and quality of transport services; 6) Availability and use of ICTs; 7) Operating environment. Each indicator and sub-indicator is given a score on a scale of 1 to 7 that corresponds to the worst and best possible outcome, respectively.
    • آذار 2013
      المصدر: United Nations Statistics Division
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 آذار, 2014
      تحديد مجموعة بيانات
      The CDS (the Common Data Set) is a joint effort by Eurostat, OECD, UNSD, UNCTAD and WTO to reconcile their time series on merchandise trade statistics, using international standards as a benchmark. Each agency is in charge of supplying figures for a predefined set of reporting economies (see Data Providing Agencies and Sources). Reconciliations, co-ordinated by WTO, consist of scrutinising significant differences between the agencies' data to determine the best value. In many instances, this results in finding an agreement on substitution values and estimates. Thus, the CDS database gives access to statistics and documentation of both officially reported and reconciled series. It covers annual total merchandise export and import values of over 200 economies for the period 1995 to 2011.
    • شباط 2019
      المصدر: World Integrated Trade Solution
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 آذار, 2019
      تحديد مجموعة بيانات
      This dataset provides trade and tariff data for countries where the reporter is "World".
    • كانون الثاني 2016
      المصدر: National Institute of Statistics, Madagascar
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تموز, 2019
      تحديد مجموعة بيانات
      Data cited at: https://madagascar.opendataforafrica.org/MGTRS2016
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    • شباط 2015
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الثاني, 2015
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Trade In Services Database Publication: https://datacatalog.worldbank.org/dataset/trade-services-database License: http://creativecommons.org/licenses/by/4.0/   The Trade in Services Database provides information on annual bilateral services trade flows in Mode 1 (cross-border trade) and Mode 2 (consumption abroad) for 199 countries across a multitude of sectors and years spanning 1985 and 2011. The collection of data on cross-border trade in services is notoriously difficult, in large part due to the intangible nature of services but also the high capacity needed to record such data. This is particularly true for developing countries. This database tries to fill this gap by consolidating multiple sources of bilateral trade data in services using mirror techniques, including the OECD, Eurostat, UN and IMF, as to provide a broader coverage of developed and developing countries over time. Mirror-technique is a method to retrieve export trade flows of a reporter by using information on imports of the partner country.
    • حزيران 2014
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 آب, 2017
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Comparative Advantage, International Trade, And Fertility Publication: https://datacatalog.worldbank.org/dataset/comparative-advantage-international-trade-and-fertility License: http://creativecommons.org/licenses/by/4.0/   The paper associated with this dataset analyzes theoretically and empirically the impact of comparative advantage in international trade on fertility. It builds a model in which industries differ in the extent to which they use female relative to male labor and countries are characterized by Ricardian comparative advantage in either female labor or male labor intensive goods. The values of "Share of Female Workers in Total Employment by Sectors" are reported for the full country sample, and OECD and non-OECD separately. The values of "Female Labor Needs of Exports" by country and 5-year interval. The "Year" denotes the beginning of a 5-year period, i.e., year = 1960 denotes an average over 1960-1964
    • تشرين الأول 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates
    • كانون الأول 2018
      المصدر: World Integrated Trade Solution
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 كانون الثاني, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Integrated Trade Solution Trade Stats Publication: https://datacatalog.worldbank.org/dataset/world-integrated-trade-solution-trade-stats License: http://creativecommons.org/licenses/by/4.0/   WITS Trade Stats is a database created by aggregating data from UN COMTRADE and UNCTAD TRAINS database. It provides information on bilateral trade exports, imports and tariffs for over 180 countries and regions.  
    • تشرين الأول 2019
      المصدر: World Trade Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Note: Merchandise Exports data for Hong Kong, China covers re-exports only.
    • أيلول 2018
      المصدر: World Trade Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 أيلول, 2018
      تحديد مجموعة بيانات
      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.
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    • كانون الأول 2016
      المصدر: Federal Customs Service of Russia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 كانون الثاني, 2017
      تحديد مجموعة بيانات
      Экспорт и импорт товаров по 2,4 и 6 значной номенклатуре ТН ВЭД по странам торговым партнерам РФ. * название единиц измерения для индикатора "Количество" доступно для 6 значных кодов ТН ВЭД напротив имени товарара при нажатии на знак метаданных "i".
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