スイス

  • 大統領:Viola Amherd
  • 副大統領:Karin Keller-Sutter
  • 首都:Bern
  • 言語:German (official) 63.5%, French (official) 22.5%, Italian (official) 8.1%, English 4.4%, Portuguese 3.4%, Albanian 3.1%, Serbo-Croatian 2.5%, Spanish 2.2%, Romansch (official) 0.5%, other 6.6% note: German, French, Italian, and Romansch are all national and official languages; totals more than 100% because some respondents indicated more than one main language (2013 est.)
  • 政府
  • 統計局
  • 人口、人:8,824,412 (2024)
  • 面積、平方キロメートル:39,510
  • 1人当たりGDP、US $:99,995 (2023)
  • GDP、現在の10億米ドル:884.9 (2023)
  • GINI指数:33.7 (2020)
  • ビジネスのしやすさランク:36
すべてのデータセット: B C D E F G H I M N O P Q S T U V W С Т
  • B
    • 6月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 12月, 2015
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      The International trade balance indicator is the difference between exports and imports of goods. Exports of goods record flows from an EA/EU Member State to a non-EA/EU country while imports record inwards flows. Exports are expressed in value terms and measured free on board (FOB), while imports are expressed in value terms and measured "cost, insurance, freight" (CIF ). "Goods" means all movable property including electric current. Data are expressed in million euros. Data are presented in the calendar and seasonally adjusted form.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      The International trade balance indicator is the difference between exports and imports of goods. Exports of goods record flows from an EA/EU Member State to a non-EA/EU country while imports record inwards flows. Exports are expressed in value terms and measured free on board (FOB), while imports are expressed in value terms and measured "cost, insurance, freight" (CIF ). "Goods" means all movable property including electric current. Data are expressed in million euros. Data are presented in the calendar and seasonally adjusted form.
    • 12月 2020
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 11 1月, 2021
      データセットを選択
  • C
    • 3月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 5月, 2014
      データセットを選択
      Eurostat Dataset Id:cpc_etmain  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 3月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2020
      データセットを選択
      Eurostat Dataset Id:cpc_ettot  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 3月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 5月, 2014
      データセットを選択
      Eurostat Dataset Id:cpc_etsitc  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • 10月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 10月, 2016
      データセットを選択
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) 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. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • 10月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 10月, 2016
      データセットを選択
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) 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. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • 2月 2021
      ソース: German Chemicals Industry Association
      アップロード者: Knoema
      以下でアクセス: 19 11月, 2021
      データセットを選択
      Report: International Trade, Germany, 2018 Source Table Details: Page : From 119 to 172 Table : From 60a to 70
    • 7月 2024
      ソース: General Administration of Customs of the People's Republic of China
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2024
      データセットを選択
      Note: Import and Export values for the month January and February 2020 are not available at source. HS Classified Names are as per https://www.seair.co.in/hs-codes/china.aspx
    • 6月 2024
      ソース: General Administration of Customs of the People's Republic of China
      アップロード者: Knoema
      以下でアクセス: 19 6月, 2024
      データセットを選択
      Preliminary Release: China's Total Export & Import Values ​​by Country/Region (in USD)
    • 6月 2019
      ソース: United Nations ComTRADE
      アップロード者: Knoema
      以下でアクセス: 11 7月, 2019
      データセットを選択
    • 9月 2019
      ソース: United Nations ComTRADE
      アップロード者: Knoema
      以下でアクセス: 28 10月, 2021
      データセットを選択
    • 5月 2021
      ソース: United Nations ComTRADE
      アップロード者: Knoema
      以下でアクセス: 11 11月, 2021
      データセットを選択
    • 8月 2021
      ソース: United Nations ComTRADE
      アップロード者: Knoema
      以下でアクセス: 12 8月, 2021
      データセットを選択
      Merchandise Trade by Commodity, HS-As Reported, Chapter-17   Note: United Nations COMTRADE reports trade in 'net weight in Kg' at the 4-digit level. Knoema aggregated 4-digit reported values from the data source to create 2-digit totals for trade in net weight in Kg. These are not official figures.    
    • 4月 2021
      ソース: United Nations ComTRADE
      アップロード者: Knoema
      以下でアクセス: 28 10月, 2021
      データセットを選択
      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).
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income and secondary income which occur between resident and non-resident units. It is either expressed as % of GDP or million of national currency. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The MIP scoreboard indicator is the three-year backward moving average of the current account balance expressed in percent of GDP and calculated as: [[(CAt/GDPt)+(CAt-1/GDPt-1)+(CAt-2/GDPt-2)]/3]*100 The indicative thresholds for the indicator are of +6% and -4%. The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the Sixth Edition of the IMF's Balance of Payments and International Investment Position Manual (BPM6).
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income and secondary income which occur between resident and non-resident units. It is either expressed as % of GDP or million of national currency. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6)
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. It is either expressed as % of GDP or million units of national currency. The financial flows are marked as a credit, a debit or a net balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2024
      データセットを選択
      The balance of payments is a record of a country's international transactions with the rest of the world. It is composed of the current account and the capital and financial account. The current account is itself subdivided into goods, services, income and current transfers; it registers the value of exports (credits) and imports (debits). The difference between these two values is the "balance".
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2024
      データセットを選択
      The balance of payments is a record of a country's international transactions with the rest of the world. The balance of payments is composed of two broad sub-balances: the current account and the capital and financial account. The current account is itself subdivided into four basic components: goods, services, income and current transfers. For each of these items, the current account registers the value of exports (credits) and imports (debits). The difference between these two values is the "balance".
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2024
      データセットを選択
      The balance of payments is a record of a country's international transactions with the rest of the world. The balance of payments is composed by two broad sub-balances: the current account and the capital and financial account. The current account is itself subdivided into four basic components: goods, services, income and current transfers. For each of these items, the current account registers the value of exports (credits) and imports (debits). The difference between these two values is the balance.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2024
      データセットを選択
      The balance of payments is a record of a country's international transactions with the rest of the world. It is composed of the current account and the capital and financial account. The current account is itself subdivided into goods, services, income and current transfers; it registers the value of exports (credits) and imports (debits). The difference between these two values is the "balance".
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2024
      データセットを選択
      The balance of payments is a record of a country's international transactions with the rest of the world. It is composed of the current account and the capital and financial account. The current account is itself subdivided into goods, services, income and current transfers; it registers the value of exports (credits) and imports (debits). The difference between these two values is the "balance".
    • 6月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a net balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a net balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a net balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed as % of GDP. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2024
      データセットを選択
      The Current account provides information about the transactions of a country with the rest of the world. It covers all transactions (other than those in financial items) in goods, services, primary income, and secondary income which occur between resident and non-resident units. The data are expressed in Million units of national currency. The financial flows are marked as a credit, a debit or a balance. The current account together with the capital and the financial accounts forms the Balance of Payments (BoP). The indicator is based on the BoP data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
  • D
    • 6月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2024
      データセットを選択
      Data cited at: Direction of Trade Statistics, The International Monetary Fund. The Direction of Trade Statistics (DOTS) presents current figures on the value of merchandise exports and imports dis-aggregated according to a country's primary trading partners. Area and world aggregates are included in the display of trade flows between major areas of the world. Reported data is supplemented by estimates whenever such data is not available or current. Imports are reported on a cost, insurance and freight (CIF) basis and exports are reported on a free on board (FOB) basis, with the exception of a few countries for which imports are also available FOB. Time series data includes estimates derived from reports of partner countries for non-reporting and slow-reporting countries.
    • 3月 2022
      ソース: Department of Statistics, Singapore
      アップロード者: Knoema
      以下でアクセス: 17 3月, 2022
      データセットを選択
  • E
    • 1月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2023
      データセットを選択
      There has been a growing interest in monitoring patterns of trade in services around the world, which is partly associated with ongoing trade negotiations and partly due to the increasing importance of services in OECD economies. It has been developed to supplement other OECD publications on trade in services to address the data needs of trade analysts. It is also an important part of OECD's programme to facilitate the implementation of the recommendations of the revised Manual on Statistics of International Trade in Services 2010.Other commentsThe Task Force on Statistics of International Trade in Services maintains a matrix summarising the status of the trade in services data collection performed by International Organisations. The table displays links to the databases as well as update timetables, availability of metadata, availability of bilateral data, and other important characteristics.
    • 7月 2024
      ソース: Observatory of Economic Complexity
      アップロード者: B S Ravishanth
      以下でアクセス: 15 7月, 2024
      データセットを選択
      Data cited at:  Retrieved from-https://oec.world/en/rankings/eci/hs6/hs96
    • 4月 2024
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 03 5月, 2024
      データセットを選択
      The OECD Economic Outlook analyzes the major economic trends over the coming 2 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labor markets, interest and exchange rates, balance of payments and government debt. For the non-OECD regions, foreign trade and current account series are available. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD data bases such as Quarterly National Accounts, Annual National Accounts, Labor Force Statistics and Main Economic Indicators. The cut-off date for information used in the compilation of the projections was June 1, 2023. The aggregation of world trade takes into account the projections made for the main non-OECD economies. Thus, besides OECD and the OECD euro area, the following regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Algeria, Angola, Azerbaijan Bahrain, Brunei, Chad, Rep. of Congo, Ecuador, Equatorial Guinea, Gabon, Iran, Iraq, Kazakhstan, Kuwait, Libya, Nigeria, Oman, Qatar, Saudi Arabia, Sudan, Timor-Leste , Trinidad and Tobago, Turkmenistan, United Arab Emirates, Yemen, Venezuela); with the remaining countries in a residual 'Rest of the World' group.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      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.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      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.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      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.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      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.
    • 1月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 1月, 2020
      データセットを選択
      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.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 25 4月, 2024
      データセットを選択
      The indicator is defined as the value (at current prices) of EU imports from developing countries. In this context, developing countries are defined as the countries on the OECD Development Assistance Committee (DAC) list of official development assistance beneficiaries. The indicator is presented broken down by income groups of partner countries, as distinguished by the DAC list. Please note that these groups are not static over time, as countries can change groups.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2018
      データセットを選択
      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.
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2018
      データセットを選択
      20.1. Source data
    • 3月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2018
      データセットを選択
      20.1. Source data
    • 6月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 10月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 10月, 2015
      データセットを選択
      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.
    • 3月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 3月, 2016
      データセットを選択
       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, external 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. 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.
    • 2月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2020
      データセットを選択
      International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).
    • 2月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2020
      データセットを選択
      International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).
    • 3月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2016
      データセットを選択
      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.
    • 3月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 3月, 2016
      データセットを選択
      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.
    • 9月 2018
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 27 9月, 2021
      データセットを選択
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      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, external 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. 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.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      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.
    • 3月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 3月, 2016
      データセットを選択
       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, external 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. 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.
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2023
      データセットを選択
      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, external 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. 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.
    • 3月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2016
      データセットを選択
      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.
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2023
      データセットを選択
      International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).
    • 2月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2023
      データセットを選択
      International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data refer to macroeconomic indicators for the EU and euro area. Monthly (short-term indicators) and annual (long-term indicators) data are aggregated by broad product categories. Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC).Detailed data refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain product aggregations at higher levels.   Statistical dimensions Data periodicity (monthly or yearly) and product nomenclature (CN, SITC, BEC or CPA) differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;partner country: EU Member State, non-EU country or geo-economic area.reference period: month and/or year;trade flows: import and export; andproduct according to the relevant classification. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).
    • 5月 2024
      ソース: European Commission
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2024
      データセットを選択
      Dataset includes European Economic economic forecast releases from Autumn 2017 through Winter 2023.
    • 6月 2023
      ソース: National Bureau of Statistics of the Republic of Moldova
      アップロード者: Knoema
      以下でアクセス: 30 6月, 2023
      データセットを選択
      The information is presented without the data on enterprises and organization from the left side of the river Nistru and municipality Bender Countries ..Georgia (CIS) Starting with 2009 Georgia is no longer part of the Commonwealth of Independent State European Union countries (EU-28) Starting with 2013, after Croatia has joined to the EU, European Union counts 28 member states ..Serbia and Montenegro Since 2008 Serbia and Montenegro split into two separate countries: Serbia, Montenegro Years 2017 Final data
    • 5月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 5月, 2024
      データセットを選択
      The export market share is calculated by dividing the exports of the country by the total exports of the region/world. The indicator measures the degree of importance of a country within the total exports of the region/world. For the calculation at current prices, the market share refers to the world trade (world export market share). Data on the values of exports of goods and services are compiled as part of the Balance of Payments of each country. To capture the structural losses in competitiveness that can accumulate over longer time periods, the indicator is calculated as 5 years % change - comparing year Y with year Y-5. A country might lose shares of export market not only if exports decline but most importantly if its exports do not grow at the same rate of world exports and its relative position at the global level deteriorates. The MIP scoreboard indicator is the percentage change of export market shares (of goods and services) over five years, with a lower indicative threshold of -6%. The formula is: [[(EXPc,t/EXPworld,t)-(EXPc,t-5/EXPworld,t-5)]/(EXPc,t-5/EXPworld,t-5)]*100 Source of total world data used as denominator: International Monetary Fund (IMF).
    • 7月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 5月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 5月, 2024
      データセットを選択
      The export market share is calculated by dividing the exports of the country by the total exports of the region/world (expressed as percentage in the database). The indicator measures the degree of importance of a country within the total exports of the region/world. For the calculation at current prices, the market share refers to the world trade (world export market share). Data on the values of exports of goods and services are compiled as part of the Balance of Payments of each country. The indicator is calculated as % of world total. Source of total world data used as denominator: International Monetary Fund (IMF).
    • 5月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 5月, 2024
      データセットを選択
      The export market share is calculated by dividing the exports of the country by the total exports of the region/world (expressed as percentage in the database). The indicator measures the degree of importance of a country within the total exports of the region/world. For the calculation at current prices, the market share refers to the world trade (world export market share). Data on the values of exports of goods and services are compiled as part of the Balance of Payments of each country. The indicator is calculated as 1 years % change. A country might lose shares of export market not only if exports decline but most importantly if its exports do not grow at the same rate of world exports and its relative position at the global level deteriorates. Source of total world data used as denominator: International Monetary Fund (IMF).
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      The indicator is calculated by subtracting the world exports volume growth rate from the country exports volume growth rate. Eurostat's National accounts volumes for exports (as for all transactions concerning goods and services) are estimated in previous year prices to eliminate the influence of inflation. The volume growth rate is always calculated by comparing the year Y volume in previous year prices with the year Y-1 figure in current prices. The MIP indicator is expressed as percentage change comparing year Y with year Y-1. Data sources: Eurostat, online data code: nama_10_gdp (country's exports of goods and services) and IMF, World Economic Outlook (WEO) – world exports of goods and services.
    • 9月 2021
      ソース: Statistics Mauritius
      アップロード者: Knoema
      以下でアクセス: 07 10月, 2021
      データセットを選択
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 12月, 2015
      データセットを選択
    • 5月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2018
      データセットを選択
    • 6月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2018
      データセットを選択
    • 6月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2018
      データセットを選択
    • 6月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2018
      データセットを選択
    • 5月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2018
      データセットを選択
    • 5月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2018
      データセットを選択
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income) The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and income)namq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes.
    • 12月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 12月, 2023
      データセットを選択
      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Even though consistency checks are a major aspect of data validation, temporary (usually limited) inconsistencies between datasets may occur, mainly due to vintage effects. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information (including actual communications) is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
      データセットを選択
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
      データセットを選択
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 05 10月, 2016
      データセットを選択
    • 9月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
      データセットを選択
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2016
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 4月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 6月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 6月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the reporting country and the rest of the world. Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The table indicates the seasonally adjusted values of the EU and euro-zone exports. Exports are valuated FOB (Free on Board), i.e. only incidental expenses (freight, insurance) incurred in the part of journey located on the territory of the reporting country are included. The raw values of the Member States are adjusted according to the number of working days on the basis of each national calendar and then seasonally adjusted before being aggregated to provide the EU and euro-zone totals.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      This indicator is the value of exports of goods and services divided by the GDP in current prices.
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 2月, 2024
      データセットを選択
      The export market shares present the shares of each EU Member State in total world (or region) exports of goods and services. The indicator measures the degree of importance of a country within the total exports of the region/world. For the calculation at current prices, the market share refers to the world trade (world export market share). A country might lose shares of export market not only if exports decline but most importantly if its exports do not grow at the same rate of world exports and its relative position at the global level deteriorates. The MIP scoreboard indicator is Export market shares (goods and services) - 5 years % change. Additional indicators published in the domain are: Export market shares by items - 1 year % change and % of world totalShare of OECD exportsExports of high technology products as a share of total exports, SITC Rev. 4 - %
    • 6月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 6月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 6月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 6月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 6月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 6月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      The external balance of goods and services (ESA 2010, 8.68) is the difference between exports of goods and services and imports of goods and services. If positive, the economy exports more goods and services than it imports, and vice versa. The ESA 2010 (European System of Accounts) regulation may be referred to for more specific explanations on methodology. Seasonally and calendar adjusted data (SCA).
    • 6月 2018
      ソース: State Statistical Committee of the Republic of Azerbaijan
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2018
      データセットを選択
    • 2月 2024
      ソース: Department of Statistics, Jordan
      アップロード者: Knoema
      以下でアクセス: 20 2月, 2024
      データセットを選択
    • 1月 2024
      ソース: Statistics Norway
      アップロード者: Knoema
      以下でアクセス: 16 1月, 2024
      データセットを選択
      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 statisticsMonthly 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.countryEUCroatia is included in the trade with the EU from 2014 on.Palestine (2013-)Previously: West Bank/Gaza Stripe (2001-2012)
    • 2月 2024
      ソース: Statistics Norway
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2024
      データセットを選択
      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 statisticsMonthly 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.countryEUCroatia is included in the trade with the EU from 2014 on.Palestine (2013-)Previously: West Bank/Gaza Stripe (2001-2012)
    • 11月 2023
      ソース: State Statistical Office, Republic of North Macedonia
      アップロード者: Knoema
      以下でアクセス: 07 11月, 2023
      データセットを選択
      Methodological explanationsSymbols usedSource: State Statistical Office, Year 2018M12, preliminary data
    • 11月 2023
      ソース: State Statistical Office, Republic of North Macedonia
      アップロード者: Knoema
      以下でアクセス: 07 11月, 2023
      データセットを選択
      Methodological explanationsSymbols usedSource: State Statistical OfficeYear2018preliminary data
    • 12月 2023
      ソース: National Bureau of Statistics of the Republic of Moldova
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2023
      データセットを選択
      The information is presented without the data on enterprises and organization from the left side of the river Nistru and municipality BenderYears2017Final data
    • 3月 2019
      ソース: National Statistical Committee, Kyrgyz Republic
      アップロード者: Knoema
      以下でアクセス: 02 4月, 2019
      データセットを選択
    • 12月 2020
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 08 12月, 2020
      データセットを選択
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 11月, 2023
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2016
      データセットを選択
      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.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the Member States' contribution to the extra-EU28 trade for that product group. Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the 10 main partners of the EU28 for that product group (according to the sum imports+exports). Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the Member States' contribution to the extra-EU28 trade for that product group. Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the 10 main partners of the EU28 for that product group (according to the sum imports+exports). Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the Member States' contribution to the extra-EU28 trade for that product group. Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the 10 main partners of the EU28 for that product group (according to the sum imports+exports). Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the Member States' contribution to the extra-EU28 trade for that product group. Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the 10 main partners of the EU28 for that product group (according to the sum imports+exports). Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the Member States' contribution to the extra-EU28 trade for that product group. Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the 10 main partners of the EU28 for that product group (according to the sum imports+exports). Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the Member States' contribution to the extra-EU28 trade for that product group. Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the 10 main partners of the EU28 for that product group (according to the sum imports+exports). Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the 20 main partners of the EU28 (according to the sum imports+exports), expressed in value terms and in % of the total flow.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the Member States' contribution (in value and %) to the extra-EU28 trade of the Union.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the share of extra-EU28 trade by product group (SITC1), expressed in value terms and in % of the total flow.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 9月, 2016
      データセットを選択
      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.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 9月, 2016
      データセットを選択
      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.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      The table shows the 20 main partners of the Euro area 19 (according to the sum imports+exports), expressed in value terms and in % of the total flow.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      The table shows the breakdown of extra-Euro area 19 trade by product group (SITC1), expressed in value terms and in % of the total flow.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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
    • 6月 2024
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 21 6月, 2024
      データセットを選択
      The food and agricultural trade dataset is collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics Methodology. The data is mainly provided by UNSD, Eurostat, and other national authorities as needed. This source data is checked for outliers, trade partner data is used for non-reporting countries or missing cells, and data on food aid is added to take into account total cross-border trade flows. The trade database includes the following variables: export quantity, export value, import quantity and import value. The trade database includes all food and agricultural products imported/exported annually by all the countries in the world.   Classification system: HS 2012 converted into FAO Commodity List (also known as FCL, which is a classification based on the item tree approach used for the compilation of SUA/FBS).   Sector coverage: The dataset contains all food and agricultural products imported and exported during the reference year by country. In addition to the individual country data, other item and country aggregates are disseminated. The processed trade data is essential for the compilation of Supply/Utilization Accounts (SUA) and Food Balance Sheets (FBS).   Statistical concepts and definitions:Quantity of food and agricultural exports: Export quantity is defined by the IMTS as the physical quantity of domestic origin or manufactured products shipped out of the country. It includes re-exports. According to the FAO methodology, the quantity of food and agricultural exports included in the FAOSTAT database is expressed in terms of weight (tonnes) for all commodities except for live animals which are expressed in units (heads); poultry, rabbits, pigeons and other birds are expressed in thousand units. As a general rule, trade quantity refers to net weight, excluding any sort of container.  Value of agricultural exports: Value of agricultural exports are expressed in thousand US dollars in the FAOSTAT database. Export values are reported as FOB  (free on board—that is, the value of the goods plus the value of the services performed to deliver the goods to the border of the exporting country). Quantity of food and agricultural imports: Import quantity represents the physical quantity of the products imported for domestic consumption or processing shipped into a country. It includes re-imports. According to the FAO methodology, the quantity of food and agricultural imports included in the FAOSTAT database is expressed in terms of weight (tonnes) for all commodities except for live animals which are expressed in units (heads); poultry, rabbits, pigeons and other birds are expressed in thousand units. As a general rule, trade quantity refers to net weight, excluding any sort of container. It includes also food aid quantities, where relevant.  Value of agricultural imports: Value of agricultural imports are expressed in thousand US dollars in the FAOSTAT database. Import values are reported as CIF (cost insurance and freight—that is, the value of the goods, plus the value of the services performed to deliver goods to the border of the exporting country, plus the value of the services performed to deliver the good from the border of the exporting country to the border of the importing country). Statistical unit:All crops and livestock products registered by the customs office in the country. In case of non-customs trade data, the observation unit is the trade operator. For example, within intra-EU trade statistics, this unit is any taxable person carrying out intra-EU trade. For more information, see the IMTS compiler manual, edition 2012. Statistical population:All trade data on food and agricultural products, including livestock, are compiled by all customs offices in the country. For intra-EU trade, the statistical population is all trade operators recording trade transactions over a certain threshold. Total merchandise import/export value is also included.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 1月, 2024
      データセットを選択
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 1月, 2024
      データセットを選択
    • 10月 2011
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2019
      データセットを選択
      Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets. Inward FATS describe the overall activity of foreign affiliates resident in the compiling economy. Inward FATS deliver information on the following characteristics of foreign affiliates: 11110 Number of enterprises (expressed in units)12110 Turnover (millions of €)12120 Production value (m€)12150 Value added at factor cost (m€)13110 Total purchases of goods and services (m€)13120 Purchases of goods and services purchased for resale in the same condition as received (m€)13310 Personnel costs (m€)15110 Gross investment in tangible goods (m€)16110 Number of persons employed (units)16130 Number of employees on a voluntary basis or if 16110 is not available (units)22110 Total intra-mural R&D expenditure (from 2009 onwards, biennial, m€)22120 Total number of R&D personnel (from 2009 onwards, biennial, units)From reference year 2007 onwards, inward FATS data has been collected according to the Regulation (EC) No 716/2007 of the European Parliament and the Council on Community statistics on the structure and activity of foreign affiliates (the FATS Regulation - consolidated version). Data for reference years 1996-2006 were collected on a voluntary basis and thus they were not complete in terms of country coverage and the methodology of data compilation was not harmonised. From 2007, the FATS Recommendations Manual lays down detailed guidelines for the methodology, collection and compilation in the European Union.
    • 9月 2021
      ソース: National Bank of Belgium
      アップロード者: Felix Maru
      以下でアクセス: 15 9月, 2021
      データセットを選択
      The Community concept applies for all cross-border movements of goods, including purchases (imports) and sales (re-exports) in Belgium between non-resident businesses.
    • 9月 2021
      ソース: National Bank of Belgium
      アップロード者: Knoema
      以下でアクセス: 16 9月, 2021
      データセットを選択
    • 9月 2021
      ソース: National Bank of Belgium
      アップロード者: Knoema
      以下でアクセス: 07 11月, 2021
      データセットを選択
    • 9月 2021
      ソース: National Bank of Belgium
      アップロード者: Knoema
      以下でアクセス: 16 9月, 2021
      データセットを選択
      The national concept refers solely to cross-border movements of goods involving a resident business as counter party.
    • 9月 2021
      ソース: National Bank of Belgium
      アップロード者: Knoema
      以下でアクセス: 05 11月, 2021
      データセットを選択
    • 9月 2021
      ソース: Ministry of Finance, R.O.C. (Taiwan)
      アップロード者: Knoema
      以下でアクセス: 16 9月, 2021
      データセットを選択
    • 4月 2022
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 21 4月, 2022
      データセットを選択
      WTO-UNCTAD-ITC Annual trade in services dataset
    • 6月 2023
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 10 6月, 2023
      データセットを選択
      International trade in services, yearly by imports and exports, items, country and time, Denmark
    • 3月 2022
      ソース: U.S. Department of Commerce, International Trade Administration
      アップロード者: Darshini Priya Premkumar
      以下でアクセス: 23 3月, 2022
      データセットを選択
      US: Exports and Imports of New Passenger Vehicles and Light Trucks 2019.
    • 9月 2021
      ソース: Ministry of Economy, Commercial Information System Via Internet, Mexico
      アップロード者: Knoema
      以下でアクセス: 05 10月, 2021
      データセットを選択
      Oil and Gas of Mexico
    • 5月 2020
      ソース: Statistics Centre of Abu Dhabi
      アップロード者: Knoema
      以下でアクセス: 12 5月, 2021
      データセットを選択
      Merchandise Foreign Trade Statistics of Abu Dhabi
    • 5月 2024
      ソース: National Bank of Angola
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2024
      データセットを選択
    • 5月 2023
      ソース: Bahrain Open Data Portal
      アップロード者: Knoema
      以下でアクセス: 11 5月, 2023
      データセットを選択
      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 analyzes or application
    • 7月 2023
      ソース: National Institute of Statistics and Economic Analysis, Benin
      アップロード者: Knoema
      以下でアクセス: 13 9月, 2023
      データセットを選択
      Note: " Degree of openness (in%) value for 2019 has been modified from 13 to 0.13 as it looks printing mistake at the source. There is no evidence to shoot up in 2019.
    • 6月 2024
      ソース: Statistics Botswana
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2024
      データセットを選択
    • 5月 2024
      ソース: National Statistics Institute, Cabo Verde
      アップロード者: Knoema
      以下でアクセス: 23 5月, 2024
      データセットを選択
    • 2月 2024
      ソース: National Institute of Statistics of Djibouti
      アップロード者: Knoema
      以下でアクセス: 26 2月, 2024
      データセットを選択
      Foreign Trade of Djibouti
    • 12月 2023
      ソース: National Bank of Ethiopia
      アップロード者: Knoema
      以下でアクセス: 20 12月, 2023
      データセットを選択
      Direction of Trade of Ethiopia. Note: Date 2018/19 took as 2019 while considering quarterly dates. 
    • 11月 2021
      ソース: Finnish Customs
      アップロード者: Knoema
      以下でアクセス: 06 9月, 2022
      データセットを選択
      Foreign trade statistics provide information on the goods trade between Finland and the other EU member states and third countries. Customs compiles statistics on the value and transports of foreign trade and on border traffic.   Data cited at: https://tulli.fi/tilastot/taulukot/aikasarjat
    • 2月 2024
      ソース: Gambia Bureau of Statistics
      アップロード者: Knoema
      以下でアクセス: 27 2月, 2024
      データセットを選択
      International Merchandise Trade Statistics
    • 4月 2024
      ソース: Reserve Bank of India
      アップロード者: Knoema
      以下でアクセス: 02 5月, 2024
      データセットを選択
      Note: 1) Country-wise data on imports for the year 1999-2000 do not add up to total imports on account of revision in the total imports. 2) Data for European Union exclude UK from 2020-21 onwards.
    • 7月 2024
      ソース: Ministry of Commerce and Industry, India
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2024
      データセットを選択
      Note: For latest Year, 2022 value is April to October.
    • 8月 2021
      ソース: Economic Timeseries Database-Economic Research and Policy Department, Central Bank of the Islamic Republic of Iran
      アップロード者: Knoema
      以下でアクセス: 08 9月, 2021
      データセットを選択
      Foreign Trade, Iran
    • 6月 2024
      ソース: Kuwait Central Statistical Bureau
      アップロード者: Knoema
      以下でアクセス: 01 7月, 2024
      データセットを選択
    • 4月 2024
      ソース: Lesotho Bureau of Statistics
      アップロード者: Jonathan Kilach
      以下でアクセス: 24 5月, 2024
      データセットを選択
      Foreign Trade Statistics of Lesotho
    • 6月 2024
      ソース: Liberia Institute of Statistics & Geo-Information Services
      アップロード者: Knoema
      以下でアクセス: 24 6月, 2024
      データセットを選択
    • 5月 2023
      ソース: Central Bank of Libya
      アップロード者: Knoema
      以下でアクセス: 03 10月, 2023
      データセットを選択
    • 4月 2022
      ソース: Department of Statistics, Malaysia
      アップロード者: Darshini Priya Premkumar
      以下でアクセス: 07 9月, 2022
      データセットを選択
      Annual statistics on external trade 1967 - 2016.
    • 10月 2021
      ソース: National Bureau of Statistics, Maldives
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2021
      データセットを選択
    • 3月 2024
      ソース: National Institute of Statistics, Mali
      アップロード者: Knoema
      以下でアクセス: 26 3月, 2024
      データセットを選択
    • 5月 2024
      ソース: Office of National Statistics, Mauritania
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2024
      データセットを選択
         
    • 5月 2021
      ソース: Myanmar Information System
      アップロード者: Knoema
      以下でアクセス: 06 9月, 2021
      データセットを選択
      Foreign Trade Statistics of Myanmar
    • 7月 2024
      ソース: Namibia Statistics Agency
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2024
      データセットを選択
      Foreign Trade Statistics of Namibia
    • 8月 2023
      ソース: National Centre for Statistics and Information, Oman
      アップロード者: Knoema
      以下でアクセス: 05 9月, 2023
      データセットを選択
      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.
    • 6月 2024
      ソース: Ministry of Development Planning and Statistics, Qatar
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2024
      データセットを選択
      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.
    • 6月 2023
      ソース: Saudi Arabian Monetary Agency
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2024
      データセットを選択
      Data cited at: Saudi Arabian Monetary Agency-SAMA
    • 3月 2023
      ソース: Central Bank of Sudan
      アップロード者: Knoema
      以下でアクセス: 23 3月, 2023
      データセットを選択
    • 3月 2024
      ソース: Federal Competitiveness and Statistics Authority, United Arab Emirates
      アップロード者: Knoema
      以下でアクセス: 19 3月, 2024
      データセットを選択
      International Trade in Commodities in UAE
    • 2月 2024
      ソース: Uganda Bureau of Statistics
      アップロード者: Knoema
      以下でアクセス: 22 4月, 2024
      データセットを選択
    • 6月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 24 1月, 2022
      データセットを選択
  • G
    • 4月 2012
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 06 5月, 2019
      データセットを選択
      Index score per member for selected services sectors For methodology and acronyms see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset".  The index score is brought within a scale of 0 to 100 for each sector, with 100 representing full commitments (i.e., without limitations) across all relevant sub-sectors of a sector grouping.  "GATS" reflects the index value for both GATS commitments and services offer in the ongoing Doha Development Agenda.  "PTA" reflects the index value for a Member's 'best' PTA commitments across all its PTAs, for each sub-sector.  The index value is for both mode 1 (cross-border trade) and mode 3 (commercial presence).  The score for EU commitments is for the EC-15.   
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      Exports of goods and services consist of transactions in goods and services (sales, barter, and gifts) from residents to non-residents. Imports of goods and services consist of transactions in goods and services (purchases, barter, and gifts) from non-residents to residents. Imports and exports of goods occur when economic ownership of goods changes between residents and non-residents. This applies irrespective of corresponding physical movements of goods across frontiers.
    • 9月 2021
      ソース: National Institute of Statistics and Censuses, Costa Rica
      アップロード者: Knoema
      以下でアクセス: 06 9月, 2022
      データセットを選択
      National Accounts of Costa Rica
    • 7月 2024
      ソース: Global Trade Alert
      アップロード者: Knoema
      以下でアクセス: 05 7月, 2024
      データセットを選択
  • H
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 2月, 2024
      データセットを選択
      The data shows the share of exports of all high technology products in total exports. High technology products are defined according to SITC Rev.4 as the sum of the following products: Aerospace, Computers-office machines, Electronics-telecommunications, Pharmacy, Scientific instruments, Electrical machinery, Chemistry, Non-electrical machinery, Armament. The total exports for the EU do not include the intra-EU trade.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 2月, 2024
      データセットを選択
      'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of  Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data). The sectoral approach: The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE) at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries. Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level. The sectoral approach is used for all indicators except data on high-tech trade and patents. Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors in Annex 2 and 3. Within the sectoral approach, a second classification was created, named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU28 Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities. The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions in Annex 7 and 8. The product approach: The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC). The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. For more details, see definition of high-tech products in Annex 4 and 5. High-tech patents: High-tech patents are defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents in Annex 6. The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
    • 1月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 2月, 2024
      データセットを選択
      'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of  Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data). The sectoral approach: The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE)  at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries. Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level. The sectoral approach is used for all indicators except data on high-tech trade and patents. Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors in Annex 2 and 3. Within the sectoral approach, a second classification was created , named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU28 Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities. The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions in Annex 7 and 8. The product approach: The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC). The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. . For more details, see definition of high-tech products in Annex 4 and 5. High-tech patents: High-tech patents are defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents in Annex 6. The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
  • I
    • 7月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 25 7月, 2023
      データセットを選択
      This dataset presents number of importing/exporting enterprises and their trade value (in millions of USD) by size class, and economic activity expressed in ISIC Rev.4.
    • 1月 2008
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 22 9月, 2014
      データセットを選択
      ICT goods are those that are either intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR which use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process. ICT goods are defined by the OECD in terms of the Harmonised System. The guiding principle for the delineation of ICT goods is that such goods must either be intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process.Another guiding principle was to use existing classification systems in order to take advantage of existing data sets and therefore ensure the immediate use of the proposed standard. In this case, the underlying system is the Harmonized System (HS). The HS is the only commodity classification system used on a sufficiently wide basis to support international data comparison. A large number of countries use it to classify export and import of goods, and many countries use it (or a classification derived from or linked to it) to categorise domestic outputs.The application of the ICT product definition to selection of in-scope HS categories is a somewhat subjective exercise. The fact that the HS is not built on the basis of the functionality of products makes it much more difficult. The distinction between products which fulfil those functions and products that simply embody electronics but fundamentally fulfil other functions is not always obvious.It is possible to adopt a narrow or broad interpretation of the guideline, though the OECD chose a broader interpretation, an approach which is consistent with that adopted to develop the ICT sector definition.
    • 12月 2019
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2020
      データセットを選択
      Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2014. The measures in this toolkit are based on an updated version of the UN–NBER dataset, which harmonizes COMTRADE bilateral trade flow data at the 4-digit SITC (Rev. 1) level. The export diversification and quality database was developed by IMF staff under an IMF-DFID research collaboration. The Export Diversification Database has three main indicators: the Export Diversification Index, the Extensive Margin, and the Intensive Margin. Higher values ​​for the all three indices indicate lower diversification. The Export Quality Database contains export quality measures across different aggregation levels of export products. Higher values ​​for the quality indices indicate higher quality levels.
    • 6月 2023
      ソース: National Bureau of Statistics of the Republic of Moldova
      アップロード者: Knoema
      以下でアクセス: 30 6月, 2023
      データセットを選択
      The information is presented without the data on enterprises and organization from the left side of the river Nistru and municipality Bender Countries ..Georgia (CIS) Since 2009 Georgia is no longer part of the Commonwealth of Independent State European Union countries (EU-28) Starting with 2013, after Croatia has joined to the EU, European Union counts 28 member states ..Serbia and Montenegro Since 2008 Serbia and Montenegro split into two separate countries: Serbia, Montenegro Years 2017 Final data
    • 5月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 5月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 2月 2022
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 17 2月, 2022
      データセットを選択
    • 5月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2018
      データセットを選択
    • 6月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2018
      データセットを選択
    • 6月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2018
      データセットを選択
    • 3月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 3月, 2020
      データセットを選択
      Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities:solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates. Â
    • 6月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2018
      データセットを選択
    • 3月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 10 3月, 2020
      データセットを選択
      Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not.  The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities:solid  fuels (hard coal only)oil and petroleum productsgaselectricity      For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates.
    • 5月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2018
      データセットを選択
    • 5月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2018
      データセットを選択
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 4月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 5月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 6月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 6月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).
    • 2月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2024
      データセットを選択
      International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). 'Goods' means all movable property, including electric current.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      This indicator is the value of imports of goods and services divided by the GDP in current prices.
    • 4月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2015
      データセットを選択
    • 7月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 8月, 2014
      データセットを選択
      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.
    • 6月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 6月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 6月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 29 6月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 6月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 6月, 2024
      データセットを選択
      ANNUAL Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption oby sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Data on annual statistics are collected by standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   MONTHLY The monthly energy data collections cover the most important energy commodities: Crude oil & Petroleum productsNatural gasSolid fuelsElectricity For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires. Data on monthly statistics are collected by standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics   SHORT-TERM MONTHLY Short-term monthly energy data collections cover the most important energy commodities: Oil & petroleum productsNatural gasElectricity Short-term monthly data provides information on main flows (quantities) on the supply side. Data on monthly short term statistics are collected by standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
    • 7月 2023
      ソース: National Statistical Office of Mongolia
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2023
      データセットを選択
    • 12月 2008
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 06 5月, 2019
      データセットを選択
      Index score per member on the basis of 'best' RTA commitments For methodology and acronyms see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset".  The index score is brought within a scale of 0 to 100 for each sector, with 100 representing full commitments (i.e., without limitations) across all relevant sub-sectors.  "GATS" reflects the index value for both GATS commitments and services offer in the ongoing Doha Development Agenda.  "PTA" reflects the index value for a Member's 'best' PTA commitments across all its PTAs.  The score for EU commitments is for the EC-15.  For methodology and acronyms see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset".  The index score is brought within a scale of 0 to 100 for each sector, with 100 representing full commitments (i.e., without limitations) across all relevant sub-sectors.  "GATS" reflects the index value for both GATS commitments and services offer in the ongoing Doha Development Agenda.  "PTA" reflects the index value for a Member's 'best' PTA commitments across all its PTAs.  The score for EU commitments is for the EC-15. 
    • 12月 2008
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 06 5月, 2019
      データセットを選択
      Index score per agreement For methodology, see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset". The index score is brought within a scale of 0 to 100 for each sector, with 100 representing full commitments (i.e., without limitations) across all relevant sub-sectors. "GATS" reflects the index value for both GATS commitments and services offer in the ongoing Doha Development Agenda. The index value is for both mode 1 (cross-border trade) and mode 3 (commercial presence). The score for EU commitments is for the EC-15.
    • 10月 2023
      ソース: Coffee Board of India
      アップロード者: Knoema
      以下でアクセス: 19 1月, 2024
      データセットを選択
    • 2月 2022
      ソース: Ministry of Finance, India
      アップロード者: Knoema
      以下でアクセス: 05 4月, 2022
      データセットを選択
      Note: FY2020-21 has been considered as 2020. Similarly for other FYs. The dataset provides the data on the direction of imports and exports by regions and countries in "INR, Crore" and "US$, Million"
    • 11月 2021
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 24 12月, 2021
      データセットを選択
    • 10月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 5月 2020
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2020
      データセットを選択
      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.
    • 9月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 12月, 2015
      データセットを選択
    • 10月 2020
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 13 11月, 2020
      データセットを選択
      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.
    • 7月 2024
      ソース: U.S. Census Bureau
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2024
      データセットを選択
      The international goods and services deficit was $74.6 billion in April, up $14.0 billion from $60.6 billion in March. April exports were $249.0 billion, $9.2 billion less than March exports. April imports were $323.6 billion, $4.8 billion more than March imports. 
    • 6月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 11月, 2015
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an  economic area during a given period. BoP provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall under the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment, to monitor the external commercial performance of different economies. Some indicators of EU market integration are also derived from BoP data. Data are reported in millions of Euro/ECU. Several statistical adjustments are applied to the original data provided by the Member States. Guidance for compilers is provided in the Manual on Statistics of International Trade in services 2002 (http://unstats.un.org/unsd/tradeserv/msitsintro.htm), that has been followed by IMTS 2010 (http://unstats.un.org/unsd/tradeserv/TFSITS/msits2010/docs/MSITS%202010%20M86%20(E)%20web.pdf)  ITS data are collected by national enterprise surveys, International Transaction System (ITRS) and administrative records.
    • 5月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 11月, 2015
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an  economic area during a given period. BoP provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall under the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment, to monitor the external commercial performance of different economies. Some indicators of EU market integration are also derived from BoP data. Data are reported in millions of Euro/ECU. Several statistical adjustments are applied to the original data provided by the Member States. Guidance for compilers is provided in the Manual on Statistics of International Trade in services 2002 (http://unstats.un.org/unsd/tradeserv/msitsintro.htm), that has been followed by IMTS 2010 (http://unstats.un.org/unsd/tradeserv/TFSITS/msits2010/docs/MSITS%202010%20M86%20(E)%20web.pdf)  ITS data are collected by national enterprise surveys, International Transaction System (ITRS) and administrative records.
    • 5月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 12月, 2015
      データセットを選択
      Eurostat Dataset Id:bop_its_det The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a  economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment, to monitor the external commercial performance of different economies. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an  economic area during a given period and provides harmonized information on international transactions which are part of the current account, the capital and the financial account. Data on International Trade in Services (ITS), are an important component of the BoP current account, and are used, alongside with data on Foreign Direct Investment, to monitor the external commercial performance of different economies. ITS data are collected by national enterprise surveys, International Transaction System (ITRS) and administrative records. Guidance for compilers is provided in the Manual on Statistics of International Trade in services 2010 (http://unstats.un.org/unsd/tradeserv/TFSITS/msits2010/docs/MSITS%202010%20M86%20(E)%20web.pdf)
    • 2月 2024
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 11 2月, 2024
      データセットを選択
      International trade in services, quarterly by imports and exports, items, country and time
    • 2月 2024
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 11 2月, 2024
      データセットを選択
      International trade in services, quarterly by imports and exports, country and time
    • 1月 2022
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2022
      データセットを選択
      International trade in services by imports and exports, seasonal adjustment, country and time  
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 6月, 2023
      データセットを選択
      Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) 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. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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.
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 6月, 2023
      データセットを選択
      Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 6月, 2023
      データセットを選択
      Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 6月, 2023
      データセットを選択
      Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 6月, 2023
      データセットを選択
      Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import
    • 6月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 6月, 2023
      データセットを選択
      Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import
    • 5月 2024
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 20 5月, 2024
      データセットを選択
      International services – detailed annual statistics for trade in services and services supplied through affiliates.
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 11月, 2023
      データセットを選択
      Imports are expressed in value terms and measured cif (cost, insurance, freight). Exports are expressed in value terms and measured fob (free on board). Balance = export - import
    • 6月 2019
      ソース: Statistics Netherlands
      アップロード者: Knoema
      以下でアクセス: 13 7月, 2020
      データセットを選択
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: International trade; import and export value, SITC (3 digits), countries https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=83926ENG&_theme=1017 License: http://creativecommons.org/licenses/by/4.0/   In this dataset the Dutch import, export value, trade balance and annual changes are broken down into sections, divisions and groups according to the Standard International Trade Classification (SITC). The data are further divided into continents and countries according to the Geonomenclature (GEONOM).
    • 10月 2016
      ソース: Statistics Netherlands
      アップロード者: Knoema
      以下でアクセス: 06 10月, 2018
      データセットを選択
      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.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2016
      データセットを選択
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      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.
    • 11月 2023
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 15 11月, 2023
      データセットを選択
      The table shows the Member States' contribution (in value and %) to the intra-EU27 (from 2020) trade of the Union.
    • 9月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 24 9月, 2016
      データセットを選択
      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.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the Member States' contribution (in value and %) to the intra-EU28 trade of the Union.
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      FAOSTAT database on Agriculture Machinery is no longer active. The latest online version of the database has as reference year 2009 (with data collected in year 2011). UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labor, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labor, land and capital. Qualitative differences are important for each but are particularly difficult to summarize in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
  • M
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 3月, 2024
      データセットを選択
      The focus of this domain is on enlargement countries, in other words the following country groups:candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) 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. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • 9月 2020
      ソース: Federal Reserve Bank of St. Louis
      アップロード者: Knoema
      以下でアクセス: 17 9月, 2020
      データセットを選択
      International Data from University of Pennsylvania 
    • 6月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2024
      データセットを選択
      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements.Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics <
    • 3月 2016
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 21 3月, 2016
      データセットを選択
      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.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).
    • 11月 2021
      ソース: Australian Bureau of Statistics
      アップロード者: Knoema
      以下でアクセス: 18 11月, 2021
      データセットを選択
      Australia's international merchandise trade statistics record goods which add to or subtract from the stock of material resources of Australia by entering (imports) or leaving (exports) its territory. Goods simply transported through Australia (goods in transit), or temporarily admitted or withdrawn, do not add to or subtract from Australia's stock of material resources and are not included in Australia's international merchandise trade statistics.
    • 6月 2024
      ソース: General Authority for Statistics, Kingdom of Saudi Arabia
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2024
      データセットを選択
    • 7月 2024
      ソース: Australian Bureau of Statistics
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2024
      データセットを選択
      Australia's international merchandise trade statistics record goods which add to or subtract from the stock of material resources of Australia by entering (imports) or leaving (exports) its territory. Goods simply transported through Australia (goods in transit), or temporarily admitted or withdrawn, do not add to or subtract from Australia's stock of material resources and are not included in Australia's international merchandise trade statistics.
    • 6月 2024
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 01 7月, 2024
      データセットを選択
      Merchandise Trade values & Merchandise trade - indices and prices
    • 1月 2015
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 23 4月, 2015
      データセットを選択
      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.
    • 3月 2023
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 24 3月, 2023
      データセットを選択
      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.
    • 10月 2023
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 21 11月, 2023
      データセットを選択
    • 10月 2021
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 06 9月, 2022
      データセットを選択
    • 8月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 29 8月, 2023
      データセットを選択
      Despite the growing importance of international trade, driven in large part by the rise of globalisation and the accompanying international fragmentation of production, the availability of statistics on price change in international merchandise trade at more graular level is still limited. To fill this data gap, the OECD has developed this new Merchandise Trade Price Index (MTPI) database using UN COMTRADE. The first release covers about 100 countries from 2011 to 2017. Indices by reporting country are available for both exports and imports, broken down by 30 products, aligned with the 2-digit level of the Classification of Products of Activity (CPA, version 2.1). Future releases are planned to expand the country coverage and the level of disaggregation.
    • 7月 2024
      ソース: Statistics Canada
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2024
      データセットを選択
      International merchandise trade data grouped by Principal Trading Partners (PTP). Users have the option of selecting Imports, Exports, or Trade Balance. Data are unadjusted and seasonally adjusted, and are on a Customs and Balance of Payments basis.   Canada: International merchandise trade for all countries and by Principal Trading Partners, monthly
    • 10月 2023
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 06 11月, 2023
      データセットを選択
      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.
    • 9月 2023
      ソース: United Nations Conference on Trade and Development
      アップロード者: Shylesh Naik
      以下でアクセス: 19 10月, 2023
      データセットを選択
      This table shows the value of total merchandise exports and imports, expressed in millions of United States dollars and percentages of the world total.
    • 1月 2024
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 1月, 2024
      データセットを選択
      The International Trade (MEI) dataset contains predominantly monthly merchandise trade statistics, and associated statistical methodological information, for all OECD member countries and for all non-OECD G20 economies and the EU.   The dataset itself contains international trade statistics measured in billions of United States dollars (USD) for: Exports, Imports, Balance. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis.
    • 2月 2024
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 11 2月, 2024
      データセットを選択
      Value of imports and exports by BEC (Broad Economic Categories), country, imports and exports and time
    • 2月 2024
      ソース: Statistics Denmark
      アップロード者: Knoema
      以下でアクセス: 11 2月, 2024
      データセットを選択
      Value of exports by SHORT-TERM (industrial origin), country, imports and exports and time
  • N
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2024
      データセットを選択
      The external debt (or the foreign debt), at any given time, is the outstanding amount of the actual current (and not contingent) liabilities that require payment(s) of principal and/or interest by the debtor at some point(s) in the future and that are owed to non-residents by residents of an economy. The external debt is the portion of a country's debt that was borrowed from creditors outside the country, including commercial banks, other governments or international financial institutions (such as the International Monetary Fund (IMF) and the World Bank). The assets/liabilities include debt securities, such as bonds, notes and money market instruments, as well as loans, deposits, currency, trade credits and advances due to non-residents. The loans must usually be paid in the currency in which they was made. In order to earn the needed currency, the borowing country may sell and export goods to the lender's country. The data are expressed in % of GDP.
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      The external debt (or the foreign debt), at any given time, is the outstanding amount of the actual current (and not contingent) liabilities that require payment(s) of principal and/or interest by the debtor at some point(s) in the future and that are owed to non-residents by residents of an economy. The external debt is the portion of a country's debt that was borrowed from creditors outside the country, including commercial banks, other governments or international financial institutions (such as the International Monetary Fund (IMF) and the World Bank.). The assets/liabilities include debt securities, such as bonds, notes and money market instruments, as well as loans, deposits, currency, trade credits and advances due to non-residents. The loans must usually be paid in the currency in which they was made. In order to earn the needed currency, the borowing country may sell and export goods to the lender's country. The data are expressed in % of GDP.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2024
      データセットを選択
      Net lending/borrowing of a country corresponds to the sum of total current and capital accounts’ balances in balance of payments. It represents the net resources that the total economy makes available to the rest of the world (if it is positive) or receives from the rest of the world (if it is negative). In another words when the variable is positive (meaning that it shows a financing capacity), it should be called net lending (+); when it is negative (meaning that it shows a borrowing need), it should be called net borrowing (–). The net lending (+) or borrowing (–) of the total economy is equal but of opposite sign to the net borrowing (–) or lending (+) of the rest of the world. The MIP scoreboard indicator is expressed in percentage of GDP and in million of national currency, and calculated as: (CAB+CAK)*100/GDP . The indicator is based on the Balance of Payments data reported to Eurostat by the EU Member States. Definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 4月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2024
      データセットを選択
      Net lending/borrowing of a country corresponds to the sum of total current and capital accounts’ balances in the Balance of Payments. It represents the net resources that the total economy makes available to the rest of the world (if it is positive) or receives from the rest of the world (if it is negative). In another words when the variable is positive (meaning that it shows a financing capacity), it should be called net lending (+); when it is negative (meaning that it shows a borrowing need), it should be called net borrowing (–). The net lending (+) or borrowing (–) of the total economy is equal but of opposite sign to the net borrowing (–) or lending (+) of the rest of the world. The MIP scoreboard indicator is expressed in percentage of GDP and in million of national currency, and calculated as: (CAB+CAK)%GDP=(CAB+CAK)*100/GDP . The indicator is based on the Balance of Payments data reported to Eurostat by the EU Member States. Starting from October 2014 definitions are based on the IMF's Sixth Balance of Payments Manual (BPM6).
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      The trade balance of energy products is calculated, for each Member State, as the difference between exports to and imports from the rest of the world (intra-EU and extra-EU trade) of goods included in the SITC section 3 - Mineral fuels, lubricants and related materials.The MIP indicator is expressed as percentage of GDP (according to ESA 2010 transmission programme).
  • O
    • 10月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 17 10月, 2023
      データセットを選択
      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/.
    • 4月 2011
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Outward FATS describes the activities of foreign affiliates abroad controlled by residents of the compiling country. Countries use a great variety of sources completing each other in order to compile outward FATS data. Frequently, the basic information originates from the Foreign Direct Investments registers and surveys and it is complemented by information from other data sources such as business registers, annual reports of the companies, private databases, administrative sources, or other surveys (inward FATS, SBS). Outward FATS surveys from the previous reference years are also valuable sources of information . The countries collect and deliver on a mandatory basis the following characteristics: Number of enterprises (ENT)Turnover (TUR)Number of persons employed (EMP) For a few countries, data collected on a voluntary basis are available for some other characteristics: Value added at factor costs (VAC)Gross investments in tangible goods (GIT)Personnel costs (PEC) The outward FATS data are disseminated with annual frequency, with a detail by country of location (partner country) and economic activity of the foreign affiliate. Data are expressed in millions of EUR (Turnover, Value added at factor costs, Gross investments in tangible goods and Personnel costs) or in units (Number of persons employed and Number of enterprises).
    • 3月 2014
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Outward FATS describes the activities of foreign affiliates abroad controlled by residents of the compiling country. Countries use a great variety of sources completing each other in order to compile outward FATS data. Frequently, the basic information originates from the Foreign Direct Investments registers and surveys and it is complemented by information from other data sources such as business registers, annual reports of the companies, private databases, administrative sources, or other surveys (inward FATS, SBS). Outward FATS surveys from the previous reference years are also valuable sources of information . The countries collect and deliver on a mandatory basis the following characteristics: Number of enterprises (ENT)Turnover (TUR)Number of persons employed (EMP) For a few countries, data collected on a voluntary basis are available for some other characteristics: Value added at factor costs (VAC)Gross investments in tangible goods (GIT)Personnel costs (PEC) The outward FATS data are disseminated with annual frequency, with a detail by country of location (partner country) and economic activity of the foreign affiliate. Data are expressed in millions of EUR (Turnover, Value added at factor costs, Gross investments in tangible goods and Personnel costs) or in units (Number of persons employed and Number of enterprises).
  • P
    • 7月 2023
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2023
      データセットを選択
      Resource Statistics - Pesticides Trade
    • 6月 2023
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 24 11月, 2023
      データセットを選択
    • 3月 2022
      ソース: International Tropical Timber Organization
      アップロード者: Knoema
      以下でアクセス: 25 3月, 2022
      データセットを選択
      Annual Review and Assessment of the World Timber Situation.   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
    • 12月 2008
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 06 5月, 2019
      データセットを選択
      Proportion of sub-sectors with GATS commitments in RTAs, per member For methodology and acronyms see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset".  "GATS" stands here for GATS commitments and DDA services offers.  "PTA" here refers to a Member's 'best' PTA commitments across all its PTAs.  The percentage of sub-sectors for EU commitments refers to those of the EU-15. 
  • Q
    • 8月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 19 8月, 2023
      データセットを選択
      OECD has extracted monthly trade data from the UN Monthly Comtrade database, and aggregates the quarterly and annual frequencies by summing up the months. This may create discrepancies with annual trade figures as presented in International Trade by Commodity Statistics (ITCS). UN Monthly Comtrade (beta version) contains detailed merchandise trade data provided by countries (or areas) to the United Nations Statistics Division, Department of Economic and Social Affairs (UNSD/DESA). Values are expressed in United States dollars (USD) and refer to declared transaction values. All exports are valued f.o.b. (free on board) and imports are valued c.i.f. (including cost, insurance, freight), except the imports of Canada and Mexico which are valued f.o.b. Detailed country metadata (currency conversion rates, information in HS classifications and data publication dates) can be found from the metadata file at the UN Monthly Comtrade website under the heading Metadata.
  • S
    • 9月 2023
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 31 1月, 2024
      データセットを選択
      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 and the World Trade Organization (WTO), in cooperation with the International Trade Center (ITC) and the United Nations Statistics Division (UNSD).
    • 7月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 24 7月, 2023
      データセットを選択
      Trade in services drives the exchange of ideas, know-how and technology. It helps firms cut costs, increase productivity, participate in global value chains and boost competitiveness. Consumers benefit from lower prices and greater choice. However, international trade in services is often impeded by trade and investment barriers and domestic regulations. The Service Trade Restrictions Index (STRI) helps identify which policy measures restrict trade. It provides policy makers and negotiators with information and measurement tools to open up international trade in services and negotiate international trade agreements. It can also help governments identify best practice and then focus their domestic reform efforts on priority sectors and measures. The STRI indices take the value from 0 to 1, where 0 is completely open and 1 is completely closed. They are calculated on the basis of information in the STRI database which reports regulation currently in force.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      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.
    • 5月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 11 5月, 2024
      データセットを選択
      The indicator shows developments in shares of exports of goods and services of EU Member States in relation to total exports of goods and services of OECD countries. To capture the structural losses in competitiveness that can accumulate over longer time periods is calculated the 5 year % change (comparing year Y with year Y-5). The data are presented as 5 year % change and as share of total exports of OECD countries. The indicator is based on the Balance of Payments data reported to Eurostat by the EU Member States, UK, Iceland, Norway and Turkey. Source of data for other non-EU countries is OECD.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      The table shows the share of trade exchanges with the EU27 (from 2020) (% of imports from the EU27 (from 2020) in the total imports and % of the exports to the EU27 (from 2020) in the total exports) of the Member States and of the main players in the world market.
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the share of trade exchanges with the EU28 (% of imports from the EU28 in the total imports and % of the exports to the EU28 in the total exports) of the Member States and of the main players in the world market.
    • 8月 2021
      ソース: World Integrated Trade Solution
      アップロード者: Knoema
      以下でアクセス: 26 9月, 2021
      データセットを選択
      Sheath Contraceptives of Vulcanised Rubber Exports TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack
    • 3月 2012
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 03 12月, 2018
      データセットを選択
      Input-Output tables describe the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The OECD Input-Output database is presented on the former basis, reflecting in part the collection mechanisms for many other data sources such as research and development Research and Development expenditure data, employment statistics, pollution data, energy consumption, which are in the main collected by enterprise or by establishment, and thus according to industry classifications.
    • 12月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 03 12月, 2018
      データセットを選択
      Input-Output tables describe the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The OECD Input-Output database is presented on the former basis, reflecting in part the collection mechanisms for many other data sources such as research and development Research and Development expenditure data, employment statistics, pollution data, energy consumption, which are in the main collected by enterprise or by establishment, and thus according to industry classifications.
  • T
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      A country’s terms of trade measures a country's export prices in relation to its import prices. The terms of trade are a measure of a country's trade competitiveness since they indicate how much imports an economy can get for a unit of export goods. They are calculated as the ratio of the price index for exports of goods and services to the price index for imports of goods and services. These are obtained by dividing current prices by chain-linked volumes using the standard reference year 2010. The indicator refers to the percentage change over 5 years, i.e. data are expressed as percentage change comparing year Y with the year Y–5
    • 12月 2011
      ソース: CEPII
      アップロード者: Knoema
      以下でアクセス: 11 10月, 2019
      データセットを選択
      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
    • 3月 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2017
      データセットを選択
      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.
    • 3月 2013
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 03 3月, 2014
      データセットを選択
      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.
    • 6月 2024
      ソース: World Integrated Trade Solution
      アップロード者: Knoema
      以下でアクセス: 27 6月, 2024
      データセットを選択
      This dataset provides trade and tariff data for countries where the reporter is "World".
    • 9月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 9月, 2023
      データセットを選択
      This table presents export/import information by detailed activity sectors (ISIC Rev.4)
    • 9月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 07 9月, 2023
      データセットを選択
      This dataset shows import and export values (in millions of UDS) using product classification at 2-digit level of CPA classification.
    • 10月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 10月, 2023
      データセットを選択
      This dataset presents data by export intensity, that is the share of exports on total turnover.
    • 10月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 10月, 2023
      データセットを選択
      The central issue of trade by enterprise characteristics is to disaggregate trade flows according the characteristics of the enterprises engaged in cross-border transactions. 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 differ in their ability to perform such a linking, and matching ratios (between business and trade registers) vary across countries, and as a consequence the degree of representativeness of the results also varies across countries.
    • 9月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2023
      データセットを選択
      This dataset presents data by type of ownership, that is foreign or domestically controlled enterprise (with or without own affiliates abroad).
    • 7月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 25 7月, 2023
      データセットを選択
      This table presents export/import information by enterprise size class and partner country.
    • 8月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 19 8月, 2023
      データセットを選択
      This dataset shows the number of exporters and importers and their associated trade values for a selected set of partner countries and zones, broken down by three economic sectors: industry, trade and repair and other sectors. Total values for the wide economy are also displayed.Recommended uses and limitations EU countries break down trade data into Intra- and extra- EU zones, whereas non EU countries report their Total trade. Trade values have been aggregated for EU countries and Total (Intra-EU plus Extra-EU) trade flows are displayed, whereas Intra and Extra-EU data expressed in term of number of enterprises cannot be summed up, because of possible double-counting (same enterprise can be trader in both intra- and extra- EU trade). Data have been collected in ISIC revision 3 from 2003 up to 2007 and in ISIC revision 4 as from reference year 2008. Time series are affected by this change in classification, and thus data are displayed into two separate databases.
    • 10月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 10月, 2023
      データセットを選択
      The central issue of trade by enterprise characteristics is to disaggregate trade flows according the characteristics of the enterprises engaged in cross-border transactions. 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 differ in their ability to perform such a linking, and matching ratios (between business and trade registers) vary across countries, and as a consequence the degree of representativeness of the results also varies across countries.
    • 9月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 9月, 2023
      データセットを選択
      This dataset shows imports/exports by type of trader that is exporter only, importer only or both importer and exporter (Two-way trader).
    • 1月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 14 1月, 2022
      データセットを選択
      The table shows the trade exchanges with the rest of the world of the main players in the world market. Imports are mesured cif (cost, insurance, freight) and expressed in value and %. Exports are measured fob (free on board) and expressed in value and %. The calculation of shares is based on a world trade excluding the intra-EU trade.
    • 8月 2023
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 07 8月, 2023
      データセットを選択
    • 11月 2021
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2022
      データセットを選択
    • 11月 2023
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2023
      データセットを選択
    • 12月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 07 8月, 2017
      データセットを選択
      The TiVA database contains a range of indicators measuring the value added content of international trade flows and final demand. The indicators are derived from the 2016 version of OECD's Inter-Country Input-Output (ICIO) Database.  The ICIO has been constructed from various national and international data sources all drawn together and balanced under constraints based on official (SNA93) National Accounts by economic activity and National Accounts main aggregates.  Underlying sources used are notably:  • National supply and use tables (SUTs)  • National and harmonised Input-Output Tables • Bilateral trade in goods by industry and end-use category (BTDIxE) and  • Bilateral trade in services.  Compared to the old versions of the TiVA database, this current version includes two more countries, Morocco and Peru. The data are presented for all years from 1995 to 2011. The industry breakdown remains the same. 
    • 7月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2014
      データセットを選択
      In general, data comply with the UN recommandations defined in International Merchandise Trade Statistics: Concepts and Definitions, Revision 2 (IMTS, Rev.2). For exceptions and for definitions of statistical territories, please refer to country notes. Following the UN recommendations, the international merchandise trade statistics record all goods which add to or subtract from the stock of material resources of a country by entering (imports) or leaving (exports) its economic territory. Goods simply being transported through a country (goods in transit) or temporarily admitted or withdrawn (except for goods for inward or outward processing) do not add to or subtract from the stock of material resources of a country and are not included in the international merchandise trade statistics. Customs records should be the main source of the data; and the additional sources could be used where customs sources are not available. Goods should be included in statistics at the time when they enter or leave the economic territory of a country. In the case of customs-based data collection systems, the time of recording should be the date of lodgement of the customs declaration. Lists of goods to be included, to be recorded separately and to be excluded should be provided. Specific goods are to be excluded from detailed international merchandise trade statistics but recorded separately in order to derive totals of international merchandise trade for national accounts and balance of payments purposes. Trade system There are two trade systems in common use by which international merchandise trade statistics are compiled: general trade system and special trade system. The United Nations recommendations advise using the general trade system that provides a more comprehensive recording of external trade flows than does the special system. It also provides a better approximation of the change of ownership criterion used in the 1993 SNA and BPM5. General trade includes all goods that cross the national frontier including goods that are imported into and exported from custom-bonded warehouses and free zones. The general trade system is in use when the statistical territory of a country coincides with its economic territory so that imports include all goods entering the economic territory of a compiling country and exports include all goods leaving the economic territory of a compiling country. Special trade covers goods that cross the customs frontier plus goods that are imported into and exported from custom-bonded areas. The special trade system is in use when the statistical territory comprises only a particular part of the economic territory.
    • 6月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2019
      データセットを選択
      Note: This database has been discontinued. Values are expressed in United States dollars (USD) and refer to declared transaction values. Imports are reported c.i.f. and exports are reported f.o.b. with the exception of Australia, Canada, Mexico, Slovak Republic and United States where imports are reported f.o.b. United States exports are reported f.a.s. Data published are expressed as monthly averages. Quarterly and annual data are calculated as averages of monthly figures. The option chosen by OECD is to convert exchange rates for periods prior to entry into European Monetary Union (EMU), i.e. prior to 1999 for all members apart from Greece, which acceded in 2001, from the former national currency exchange rate using the appropriate irrevocable exchange rate. Such a conversion facilitates comparisons over time within a country and also preserves the historical evolution (i.e. growth rates). However, pre-EMU euro rates are notional units and are not always suitable to form area aggregates or for cross country comparisons. For further details, see The Statistics Brief Number 2, February 2002.
    • 2月 2022
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 03 2月, 2022
      データセットを選択
      To view the original national data please open the questionnaires. Source: Joint Forest Europe / UNECE / FAO Questionnaire on Pan-European Indicators for Sustainable Forest Management.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      Monthly raw data are processed at the most detailed level in order to calculate elementary unit-values defined by trade value/quantity. These unit-values are divided by the average unit-value of the previous year to obtain elementary unit-value indices, from which outliers are detected and removed. Elementary unit-value indices are then aggregated over countries and commodities, by using the Laspeyres, Paasche and Fisher formulae. Finally, the Fisher unit-value indices are chained back to the reference year (2015 = 100) and are used to approximate the import and export price movements.
    • 7月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2024
      データセットを選択
      Volume index = value index / unit-value index Value index: The value index is calculated as the percentage change between the trade value of the current month and the average monthly trade value of the previous year. Unit-value index: Monthly raw data are processed at the most detailed level in order to calculate elementary unit-values defined by trade value/quantity. These unit-values are divided by the average unit-value of the previous year to obtain elementary unit-value indices, from which outliers are detected and removed. Elementary unit-value indices are then aggregated over countries and commodities, by using the Laspeyres, Paasche and Fisher formulae. Finally, the Fisher unit-value indices are chained back to the reference year (2015 = 100).
    • 12月 2022
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 12月, 2022
      データセットを選択
      Eurostat's database covers 1) Production and trade in roundwood and wood products, including primary and secondary products 2) Economic data on forestry and logging, including employment data 3) Sustainable forest management, comprising forest resources (assets) and environmental data. The main types of primary forest products included in (1) are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. Secondary products include further processed wood and paper products. These products are presented in greater detail; definitions are available. All of the data are compiled from the Joint Forest Sector Questionnaire (JFSQ), except for table (e), which is directly extracted from Eurostat's international trade database COMEXT (HS/CN Chapter 44). The tables in (1) cover details of the following topics: - Roundwood removals and production by type of wood and assortment (a) - Roundwood production by type of ownership (b) - Production and trade in roundwood, fuelwood and other basic products (c) - Trade in industrial roundwood by assortment and species (d) - Tropical wood imports to the EU from Chapter 44 of the Harmonised System (e) - Production and trade in sawnwood, panels and other primary products (f) - Sawnwood trade by species (g) - Production and trade in pulp and paper & paperboard (h) - Trade in secondary wood and paper products (i) Data in (2) include the output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging.  The data are in current basic prices and are compatible with National Accounts. They are collected as part of Intergrated environmental and economic accounting for forests (IEEAF), which also covers labour input in annual work units (AWU).  Under (2), two separate tables cover the number of employees of forestry and logging, the manufacture of wood and products of wood and cork, and the manufacture of paper and paper products, as estimated from the Labour Force Survey results. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. More detailed information on wood products and accounting, including definitions and questionnaires, can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.  Data in (3) are not collected by Eurostat, but by the FAO, UNECE, Forest Euope, the European Commission's departments for Environment and the Joint Research Centre. They include forest area, wood volume, defoliation on sample plots, fires and areas with protective functions.
  • U
    • 2月 2020
      ソース: U.S. Department of Commerce, International Trade Administration
      アップロード者: Knoema
      以下でアクセス: 11 12月, 2020
      データセットを選択
      U.S Automotive Market Survey
    • 7月 2024
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 01 4月, 2024
      データセットを選択
      The dataset is set of three datasets:  UNCTADGDPDNI2022 UNCTADMTS2021 UNCTPAE2020 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). Notes: The statistics presented correspond to the concepts and definitions of the IMF Balance of Payments and International Investment Position Manual, Sixth Edition (BPM6), except those countries and territories who present their figures according to the fifth edition of the Manual (BPM5). Exports and imports of goods and services are credits and debits of goods and services as reported in the current account of the balance of payments.  Goods include general merchandise on a BOP basis, goods under "merchanting" and nonmonetary gold. In order for a transaction to be recorded under "goods", a change of ownership from/to a resident of a local country to/from a non-resident in a foreign country has to take place.  BOP-based statistics of trade in goods (change of ownership principle between residents and non-residents) are usually not comparable to IMTS-based merchandise trade data (physical border crossing principle) due to differences in the concepts and definitions. In some countries, the differences may be quite significant. Trade in services results from intangible actions such as transportation, travel, maintenance and repairs, business services, royalties or licensing.  Estimated individual countries figures are included in geographical regions or economic groupings calculation but not always shown separately. 
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      Unit-values are defined by: trade value / quantity. These unit-values are divided by the average unit-value of the previous year to obtain elementary unit-value indices, from which outliers are detected and removed. Elementary unit-value indices are then aggregated over countries and commodities, by using formulae. Finally, the unit-value indices are chained back to the reference year (2015 = 100) and used to approximate the import and export price movements.
    • 3月 2024
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2024
      データセットを選択
      Unit-values are defined by: trade value / quantity. These unit-values are divided by the average unit-value of the previous year to obtain elementary unit-value indices, from which outliers are detected and removed. Elementary unit-value indices are then aggregated over countries and commodities, by using formulae. Finally, the unit-value indices are chained back to the reference year (2015 = 100) and used to approximate the import and export price movements.
    • 7月 2024
      ソース: USA Trade Online
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2024
      データセットを選択
    • 3月 2022
      ソース: U.S. Department of Commerce, International Trade Administration
      アップロード者: Knoema
      以下でアクセス: 24 3月, 2022
      データセットを選択
      Used Passenger Vehicle Exports and Imports Statistics of U.S.   Note: for 2020 values calculated as YTD from January 2020 to June 2020
  • V
    • 1月 2015
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 25 2月, 2015
      データセットを選択
      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
    • 11月 2023
      ソース: World Integrated Trade Solution
      アップロード者: Knoema
      以下でアクセス: 01 12月, 2023
      データセットを選択
    • 6月 2014
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2017
      データセットを選択
      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
    • 6月 2024
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2024
      データセットを選択
      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
    • 7月 2024
      ソース: World Integrated Trade Solution
      アップロード者: Knoema
      以下でアクセス: 15 7月, 2024
      データセットを選択
      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.  
    • 6月 2024
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2024
      データセットを選択
    • 7月 2023
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2023
      データセットを選択
      “World Tariff Profiles 2023” provides comprehensive information on tariffs imposed on imports by over 170 countries and customs territories. The report — jointly prepared with the International Trade Centre and the United Nations Conference on Trade and Development (UNCTAD) — also provides data on non-tariff measures, such as anti-dumping actions, countervailing duties and safeguard measures.   Note: The dataset has been taken from the "World Tariff country profile 2023" and considered the year as 2023 in the dataset.  
    • 7月 2021
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 06 9月, 2022
      データセットを選択
      Note: For each annual publications, missing dates in source, we have considers as report date for not loosing any data 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.  
    • 7月 2024
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2024
      データセットを選択
    • 7月 2024
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 07 7月, 2024
      データセットを選択
      Data cited at: World Trade Organisation-https://timeseries.wto.org/
  • С
    • 10月 2020
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2020
      データセットを選択
      Методологические пояснения: Показывается количество импорта бункерного топлива, бортовых запасов, балласта, крепежной оснастки и иных материалов, купленных иностранными судами, летательными аппаратами, грузовыми транспортными средствами в иностранных (российских) портах, аэропортах, на автозаправочных станциях. Комментарий: Данные по показателю, начиная с ноября 2018 года, размещаются по Сибирскому и Дальневосточному федеральным округам в соответствии с Указом Президента Российской Федерации от 3 ноября 2018 года № 632 «О внесении изменений в перечень федеральных округов, утвержденный Указом Президента Российской Федерации от 13 мая 2000 года № 849». Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Экспорт и импорт бункерного топлива Источники и способ формирования показателя: * Сведения об экспорте (импорте) бункерного топлива и других товаров, необходимых для эксплуатации транспортных средств и обеспечения жизнедеятельности экипажей
  • Т
    • 12月 2016
      ソース: Federal Customs Service of Russia
      アップロード者: Knoema
      以下でアクセス: 11 1月, 2017
      データセットを選択
      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".