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Cambodia

  • Population, persons:16,249,798 (2018)
  • Area, sq km:176,520
  • GDP per capita, US$:1,512 (2018)
  • GDP, billion current US$:24.6 (2018)
  • GINI index:No data
  • Ease of Doing Business rank:138
All datasets:  A B C E F G I M O P S T U V W
  • A
    • June 2017
      Source: International Tropical Timber Organization
      Uploaded by: Knoema
      Accessed On: 24 July, 2017
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      ITTO's Annual Review and Assessment of the World Timber Situation compiles the most up-to-date and reliable international statistics available on global production and trade of timber, with an emphasis on the tropics. It also provides information on trends in forest area, forest management and the economies of ITTO member countries. Data cited at: ITTO Biennial review statistics: https://www.itto.int/biennal_review/
  • B
    • October 2019
      Source: United Nations COMTRADE
      Uploaded by: Knoema
      Accessed On: 18 October, 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
    • April 2014
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 26 May, 2016
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: East Asia And Pacific Economic Update Publication: https://datacatalog.worldbank.org/dataset/east-asia-and-pacific-economic-update License: http://creativecommons.org/licenses/by/4.0/   The East Asia and Pacific Economic Update is the comprehensive, twice-yearly review of the region’s economies prepared by the East Asia and Pacific region of the World Bank. The report provides forward-looking analysis of the region's economic and social well-being, and includes data on key indicators for output, employment, prices, public sector, foreign trade, BOP, external debt and financial markets.
    • May 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 30 July, 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).
    • September 2019
      Source: Department of Statistics, Singapore
      Uploaded by: Knoema
      Accessed On: 13 September, 2019
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      Prior to January 2003, merchandise trade data excludes Singapore's merchandise trade with Indonesia.
    • May 2019
      Source: Statistics Norway
      Uploaded by: Knoema
      Accessed On: 17 May, 2019
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      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)
    • October 2019
      Source: Statistics Norway
      Uploaded by: Knoema
      Accessed On: 18 October, 2019
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      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)
  • F
    • August 2018
      Source: General Authority for Statistics, Kingdom of Saudi Arabia
      Uploaded by: Shakthi Krishnan
      Accessed On: 10 September, 2018
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    • June 2019
      Source: Ministry of Finance, R.O.C. (Taiwan)
      Uploaded by: Knoema
      Accessed On: 27 June, 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.   2019 values are year to date
    • October 2019
      Source: U.S. Census Bureau
      Uploaded by: Knoema
      Accessed On: 11 October, 2019
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    • May 2018
      Source: World Trade Organization
      Uploaded by: Knoema
      Accessed On: 23 April, 2019
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      World Bank/WTO/UNCTAD - Annual Trade in Services Dataset
    • September 2019
      Source: Bahrain Open Data Portal
      Uploaded by: Knoema
      Accessed On: 03 October, 2019
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      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
    • January 2019
      Source: National Statistics Institute, Cabo Verde
      Uploaded by: Knoema
      Accessed On: 10 July, 2019
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    • September 2019
      Source: Kuwait Central Statistical Bureau
      Uploaded by: Knoema
      Accessed On: 09 October, 2019
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    • June 2018
      Source: Lao Statistics Bureau
      Uploaded by: Knoema
      Accessed On: 22 March, 2019
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      This data set contains information of The statistics yearbook 2017 is compiled and published by Lao statistics Bureau, Ministry of Planning and Investment. Lao statistics Bureau of expressing gratitude provincial statistics Centre, line ministries involved, ministry-equivalent agencies and other parties to contribute to compile statistical data Economic, Social and Natural Resources and Environment cooperation throughout, Lao Statistics Bureau welcome the proposal, comments and feedback to guide the improvement this magazines better. Meanwhile, the Lao Statistics Bureau express thanks to highly among those interested in using information and statistics to Lao Statistics Bureau.
    • August 2018
      Source: National Bureau of Statistics, Maldives
      Uploaded by: Knoema
      Accessed On: 07 June, 2019
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    • August 2019
      Source: Ministry of Development Planning and Statistics, Qatar
      Uploaded by: Knoema
      Accessed On: 04 September, 2019
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      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.
    • 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
    • April 2019
      Source: Uganda Bureau of Statistics
      Uploaded by: Knoema
      Accessed On: 23 July, 2019
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    • June 2019
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 June, 2019
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  • G
    • February 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 14 August, 2019
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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)
    • February 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 14 August, 2019
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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.
    • February 2017
      Source: National Institute of Statistics and Censuses, Costa Rica
      Uploaded by: Knoema
      Accessed On: 30 May, 2017
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      National Accounts of Costa Rica
    • April 2018
      Source: Global Trade Alert
      Uploaded by: Knoema
      Accessed On: 16 May, 2019
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      Global Trade Alert - Trade Coverage Estimates   Data Cited at: https://www.globaltradealert.org
  • 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: Knoema
      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.
    • September 2017
      Source: National Institute of Statistics, Republic of Guinea
      Uploaded by: Knoema
      Accessed On: 14 December, 2018
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      Data cited at: https://guinea.opendataforafrica.org/kruwzwd Imports of products by zone and country of origin, 2011 - 2012
    • February 2019
      Source: National Statistical Office of Mongolia
      Uploaded by: Knoema
      Accessed On: 22 October, 2019
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    • September 2018
      Source: Ministry of Statistics and Programme Implementation, India
      Uploaded by: Knoema
      Accessed On: 20 November, 2018
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      This dataset covers Value of Imports of Merchandise Into India By Principal Countries of Consignment and Value of Exports of Merchandise (Indian Produce And Manufactures) From India by Principal Countries of Destination. In addition, it has Summary Merchandise Trade By Revised Economic Regions. Note: FY2000-01 referred as 2001. Total Imports/exports includes other countries also.
    • April 2019
      Source: Ministry of Finance, India
      Uploaded by: Knoema
      Accessed On: 22 July, 2019
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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, 2018-19
    • 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.
    • October 2019
      Source: Statistics Denmark
      Uploaded by: Knoema
      Accessed On: 11 October, 2019
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      International trade in services, quarterly by imports and exports, country and time
  • M
    • September 2019
      Source: General Authority for Statistics, Kingdom of Saudi Arabia
      Uploaded by: Knoema
      Accessed On: 09 October, 2019
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    • September 2019
      Source: United Nations COMTRADE
      Uploaded by: Knoema
      Accessed On: 09 October, 2019
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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.
    • February 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 04 June, 2019
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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.
    • July 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 10 October, 2019
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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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    • July 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 17 September, 2019
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      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.
    • July 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 15 October, 2019
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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 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 15 April, 2019
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      This dataset shows the value of total merchandise exports and imports, expressed in millions of United States dollars and percentages of the world total
  • O
    • July 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 06 July, 2019
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      In this version, seven GVCs indicators are presented for 59 economies (34 OECD and 23 non-OECD economies, plus the "rest of the world" and the European Union) for 18 industries in the years 1995, 2000, 2005, 2008 and 2009. The indicators are calculated based on the five global input-output matrices of the TiVA database. More details on the aggregation and specific country notes can be downloaded at http://www.oecd.org/sti/ind/input-outputtables.htm and http://oe.cd/gvc/.
    • 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
    • June 2019
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 16 October, 2019
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      Resource Statistics - Pesticides Trade
  • S
    • May 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 06 August, 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). 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.
    • May 2019
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 10 September, 2019
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      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.
    • December 2013
      Source: IndexMundi
      Uploaded by: Knoema
      Accessed On: 16 December, 2013
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      Sheath Contraceptives of Vulcanised Rubber Exports
  • T
    • December 2011
      Source: CEPII
      Uploaded by: Knoema
      Accessed On: 11 October, 2019
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      GeoDist makes available the exhaustive set of gravity variables used in Mayer and Zignago (2005). GeoDist provides several geographical variables, in particular bilateral distances measured using citylevel data to assess the geographic distribution of population inside each nation. We have calculated different measures of bilateral distances available for most countries across the world.  Colonial relationship after 1945: 1 =  Origin Country colonized by Destination Country,  Colonial link:1 = Yes Citation:  Mayer, T. & Zignago, S. (2011) Notes on CEPII’s distances measures : the GeoDist Database CEPII Working Paper 2011-25
    • 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".
    • January 2016
      Source: National Institute of Statistics, Madagascar
      Uploaded by: Knoema
      Accessed On: 12 July, 2019
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      Data cited at: https://madagascar.opendataforafrica.org/MGTRS2016
  • U
  • V
    • October 2019
      Source: Statistics Denmark
      Uploaded by: Knoema
      Accessed On: 11 October, 2019
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      Value of exports by SHORT-TERM (industrial origin), country, imports and exports and time
    • September 2015
      Source: Ministry of Statistics and Programme Implementation, India
      Uploaded by: Knoema
      Accessed On: 15 September, 2019
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      Title: Value Of Exports Of Merchandise From India By Principal Countries Of Destination   Description: The data refers to value of exports of merchandise (Indian produce and manufactures), from India by principal countries of destination from 2000-01 to 2011-12.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: Merchandise; Export   Group: Trade   Sectors: Statistics; Export; Commerce   Note: (1) Total Includes other countries also; * The figures for 2002-03, 2003-04, 2004-05, 2005-06 and 2006-07 includes figures for re-exports also; (ii) From 2002-03, the source agency has discontinued the supplying breakup of values of export and re-export; All figures are in Million; NA = Data is not available; Source: Data taken from Statistical Year Book-2013, CSO.
    • October 2019
      Source: Statistics Denmark
      Uploaded by: Knoema
      Accessed On: 11 October, 2019
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      Value of imports and exports by BEC (Broad Economic Categories), country, imports and exports and time
    • 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)
  • 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.
    • June 2014
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 30 August, 2017
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      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
    • October 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 16 October, 2019
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      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates
    • 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.  
    • December 2018
      Source: World Trade Organization
      Uploaded by: Knoema
      Accessed On: 11 June, 2019
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    • July 2018
      Source: World Trade Organization
      Uploaded by: Knoema
      Accessed On: 27 May, 2019
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      Note: For missing dates in source, we have considers as report date and kept it as 2018 for not loosing information for the country.  World Tariff Profiles, a joint publication of the WTO, International Trade Centre (ITC) and the United Nations Conference on Trade and Development (UNCTAD), provides comprehensive information on the tariffs and non-tariff measures imposed by over 170 countries and customs territories. Binding coverage: Share of HS six-digit subheadings containing at least one bound tariff line. Full binding coverage is indicated by 100 without further decimals. If some tariff lines are unbound but the result still rounds to 100 this is reflected by maintaining one decimal, i.e. 100.0. Simple average: Simple average of the ad valorem or AVE HS six-digit duty averages. Duty-free: Share of duty-free HS six-digit subheadings in the total number of subheadings in the product group. Partially duty-free subheadings are taken into account on a pro rata basis. Share of HS six-digit subheadings subject to non-ad valorem duties. When only part of the HS six-digit subheading is subject to non-ad valorem duties the percentage share of these tariff lines is used. Non-ad valorem duties: Share of HS six-digit subheadings subject to ad valorem duties or AVEs greater than 15 per cent. When only part of the HS six-digit subheading is covered by such duties, the calculation is done on a pro rata basis. Duties > 15 %: Share of HS six-digit subheadings subject to ad valorem duties or AVEs greater than three times the national average. When only part of the HS six-digit subheading is covered by such duties, the calculation is done on a pro rata basis. Duties > 3 * AVG: Share of HS six-digit bound subheadings not yet implemented in 2017. When only part of the HS six-digit subheading is covered by such duties the calculation is made on a pro rata basis. Maximum duty: Maximum tariff line level ad valorem duty or AVE. Number of distinct duty rates: Number of distinct duty rates. Non-ad valorem duties are always treated as distinct because AVE calculations would always yield distinct AVEs. For this indicator, however, duties not provided are not included in the count. Coefficient of variation: Standard deviation of tariff line duty rates divided by the simple tariff line level average of all duty rates. Includes only ad valorem duties or AVEs. Number of MFN applied tariff lines: Total number of MFN applied tariff lines.  
    • December 2018
      Source: World Trade Organization
      Uploaded by: Knoema
      Accessed On: 11 June, 2019
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      Note: The dataset has been taken from the "World Tariff country profile 2018" and considered the year as 2017 in the dataset.  
    • October 2019
      Source: World Trade Organization
      Uploaded by: Knoema
      Accessed On: 18 October, 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.

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