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Palestine

  • Население:4 294 628 (2014)
  • Площадь:6 020 (2014)
  • ВВП на душу населения:2 966 (2014)
  • ВВП, млрд. долл. США:13 (2014)
  • Индекс Джини:34,46 (2009)
  • Рейтинг Ease of Doing Business:129 (2015)
Все наборы данных:  C E F I M R T U V W
  • C
    • Август 2015
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 07 сентября, 2015
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      The United Nations Commodity Trade Statistics Database (UN Comtrade) stores more than 1 billion trade data records from 1962. Over 140 reporter countries provide the United Nations Statistics Division with their annual international trade statistics detailed by commodities and partner countries. These data are subsequently transformed into the United Nations Statistics Division standard format with consistent coding and valuation using the UN/OECD CoprA internal processing system.
  • E
    • Июль 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2014
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      This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 17 апреля, 2016
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      International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.
  • F
  • I
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
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      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). 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. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
  • M
    • Июнь 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 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.
    • Ноябрь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 января, 2016
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      This table presents merchandise trade by product based on SITC, Rev.3 commodity classification (the most detailed level is three digit), expressed in thousands of dollars
    • Ноябрь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 февраля, 2016
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      This table presents merchandise trade by trading partner expressed in thousands of dollars
  • R
    • Июль 2012
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 23 августа, 2012
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      UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labour, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labour, land and capital. Qualitative differences are important for each but are particularly difficult to summarise in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 21 апреля, 2015
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      Resource Statistics - Pesticides Trade, 2015
  • T
    • Апрель 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 июня, 2014
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      This table presents trade in services by service category for individual countries, expressed in millions of dollars and as percentages of a country's total trade in services. The commercial services, which exclude government services and follow the GATS definition, are included as well.
    • Август 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 10 сентября, 2015
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      The database on statistics of international trade in services broken down by partner country provides statistics on international trade in services by partner country for 29 OECD countries plus EU, Euro Area, European Union Institutions, Hong Kong (SAR China) and the Russian Federation as well as definitions and methodological notes. The data concern trade between residents and non-residents of countries and are reported within the framework of the Manual on Statistics of International Trade in Services.  Sector coverage The aim of the publication is to assemble and disseminate balance of payments data on trade in services at the most detailed partner-country level available. To the extent that countries report them, data are also broken down by type of service according to the EBOPS classification.  
  • U
    • Январь 2012
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 04 мая, 2015
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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 transsesterification) 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).
    • Декабрь 2011
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 19 декабря, 2011
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      The global database for merchandise trade statistics: groups 01-24 (4 digit level of HS Classification)
  • V
    • Август 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 августа, 2014
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      This table provides information on trade indices of value, volume, and unit value which are calculated at the level of individual countries, geographical regions, and economic groupings. See notes below for explanations of each indicator.
    • Январь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 25 февраля, 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)
    • Апрель 2016
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 19 апреля, 2016
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      This table shows the value of total merchandise exports and imports by individual country, geographical region, economic grouping and trade group, expressed in millions of dollars and as a percentage of the world total.
  • W
    • Апрель 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 14 апреля, 2016
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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.