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Armenia

  • President:Armen Sarkissian
  • Prime Minister:Nikol Pashinyan
  • Capital city:Yerevan
  • Languages:Armenian (official) 97.9%, Kurdish (spoken by Yezidi minority) 1%, other 1% (2011 est.)
  • Government
  • National statistics office
  • Population, persons:2,930,450 (2017)
  • Area, sq km:28,470 (2017)
  • GDP per capita, US$:3,937 (2017)
  • GDP, billion current US$:11.5 (2017)
  • GINI index:32.5 (2016)
  • Ease of Doing Business rank:47 (2017)
All datasets:  B C E F G I M N O P S T V W
  • B
    • March 2019
      Source: United Nations COMTRADE
      Uploaded by: Knoema
      Accessed On: 11 March, 2019
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      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
    • January 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 February, 2019
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      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.
    • January 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 February, 2019
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      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.
    • January 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 February, 2019
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      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.
    • January 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 February, 2019
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      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.
    • January 2019
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 19 February, 2019
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      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.
    • July 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 18 January, 2019
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      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).
  • F
    • February 2019
      Source: Ministry of Finance, R.O.C. (Taiwan)
      Uploaded by: Knoema
      Accessed On: 01 March, 2019
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      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.  
    • March 2019
      Source: U.S. Census Bureau
      Uploaded by: Knoema
      Accessed On: 06 March, 2019
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    • January 2019
      Source: Kuwait Central Statistical Bureau
      Uploaded by: Knoema
      Accessed On: 19 February, 2019
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    • November 2018
      Source: Federal Competitiveness and Statistics Authority, United Arab Emirates
      Uploaded by: Knoema
      Accessed On: 13 November, 2018
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      Data cited at: https://uaenumbers.fcsa.gov.ae/UAEITSS2018U3
    • May 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 25 May, 2018
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  • G
    • August 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 21 August, 2018
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      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)
    • August 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 27 August, 2018
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      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.
  • I
    • November 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 16 November, 2018
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    • July 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Pallavi S
      Accessed On: 04 August, 2014
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      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.
    • July 2018
      Source: Ministry of Finance, India
      Uploaded by: Knoema
      Accessed On: 05 September, 2018
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      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, 2017-18
    • June 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 30 October, 2018
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      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.
    • March 2019
      Source: Statistics Denmark
      Uploaded by: Knoema
      Accessed On: 19 March, 2019
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      International trade in services, quarterly by imports and exports, country and time
    • October 2016
      Source: Statistics Netherlands
      Uploaded by: Knoema
      Accessed On: 06 October, 2018
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      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.
    • November 2017
      Source: Economic Research and Policy Department, Islamic Republic of Iran
      Uploaded by: Knoema
      Accessed On: 23 November, 2017
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      Iran : Foreign trade
  • M
    • March 2019
      Source: General Authority for Statistics, Kingdom of Saudi Arabia
      Uploaded by: Knoema
      Accessed On: 05 March, 2019
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    • December 2018
      Source: United Nations COMTRADE
      Uploaded by: Knoema
      Accessed On: 25 December, 2018
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    • January 2015
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 23 April, 2015
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      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.
    • November 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 20 December, 2018
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      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.
    • October 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 26 October, 2018
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      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.
    • October 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 30 October, 2018
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    • October 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 26 October, 2018
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      Merchandise Trade Matrix – Product Groups, Exports and Imports in Thousands of dollars This table 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.
    • October 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 04 December, 2018
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      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.
    • April 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 19 April, 2018
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      This dataset shows the value of total exports (free on board - FOB) and imports (cost, insurance and freight - CIF), expressed in millions of dollars and percentages of the world total, of individual countries, geographical regions and selected economic groupings.
  • N
  • O
    • November 2018
      Source: National Centre for Statistics and Information, Oman
      Uploaded by: Knoema
      Accessed On: 09 November, 2018
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      Data cited at: https://data.gov.om/OMFRTRD2016 this Data set covers the statistical indicators illustrating the development of trade between Oman and other countries, and classification of  merchandise exports, re-exports and merchandise imports by commodity group, nature of materials, their final utilization and port of entry.  It includes also a table on of the balance of payments estimates.   The commodity classification used in the presentation of foreign trade data is the Hormonised System, which has been adopted in Oman since 1987, in addition to the SITC Revision (4) for international comparison.  Commodity values are estimated in Rial Omani on the basis of the (C.I.F.) value for imports (i.e. the cost, insurance and freight of goods to the custom points in Oman) and (F.O.B.) for exports and re-exports.
  • P
    • August 2018
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 29 November, 2018
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      Resource Statistics - Pesticides Trade
  • S
  • T
    • March 2017
      Source: World Economic Forum
      Uploaded by: Knoema
      Accessed On: 01 March, 2017
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      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.
    • March 2013
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 03 March, 2014
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      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.
    • February 2019
      Source: World Integrated Trade Solution
      Uploaded by: Knoema
      Accessed On: 07 March, 2019
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      This dataset provides trade and tariff data for countries where the reporter is "World".
    • July 2009
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 24 September, 2014
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      The central issue of trade by enterprise characteristics is to try to classify trade operators according to enterprise characteristics and the feasibility of doing so largely depends on the possibility of using or developing common identifiers between the trade register and the business register. Countries are different in their ability to perform such a linking, and matching ratios (between business and trade registers) vary between countries, thus the degree of representativeness of the results varies between countries.
    • January 2016
      Source: National Institute of Statistics, Madagascar
      Uploaded by: Knoema
      Accessed On: 27 January, 2019
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      Data cited at: https://madagascar.opendataforafrica.org/MGTRS2016
  • V
    • January 2015
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 25 February, 2015
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      The table presents the latest quarterly statistics for total services exports and imports, in millions of dollars, for individual countries, for which the data are available. Quarterly figures for commercial services, which exclude government services, are included as a memo item. Also shown are the year-on-year percentage changes. The data presented are the result of the common work of World Trade Organization (WTO) and UNCTAD, and are published simultaneously by both organizations. (WTO statistics database)
    • December 2018
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 28 December, 2018
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      Volume growth rates of merchandise exports and imports
  • W
    • February 2015
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 05 November, 2015
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      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.
    • December 2018
      Source: World Integrated Trade Solution
      Uploaded by: Knoema
      Accessed On: 21 January, 2019
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      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.  
    • March 2019
      Source: World Trade Organization
      Uploaded by: Knoema
      Accessed On: 13 March, 2019
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      Note: Merchandise Exports data for Hong Kong, China covers re-exports only.
    • September 2018
      Source: World Trade Organization
      Uploaded by: Knoema
      Accessed On: 27 September, 2018
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      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.