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奥地利

  • 总统:Dr. Alexander Van der Bellen
  • 总理:Brigitte Bierlein
  • 首都:Vienna
  • 语言:German (official nationwide) 88.6%, Turkish 2.3%, Serbian 2.2%, Croatian (official in Burgenland) 1.6%, other (includes Slovene, official in South Carinthia, and Hungarian, official in Burgenland) 5.3% (2001 est.)
  • 政府
  • 国家统计局
  • 人口,人口:8,847,037 (2018)
  • 面积,平方公里:82,523
  • 人均国内生产总值,美元:51,513 (2018)
  • GDP,目前美元十亿美元:455.7 (2018)
  • 基尼系数:No data
  • 经商容易度排名:26

Exports

所有数据集:  E F G H I M O S T U V К П С Ч
  • E
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 13 七月, 2019
      选择数据集
      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. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, primary and secondary income), as well as on transactions which fall in the capital and the financial account. International investment position presents value of financial assets owned outside the economy and indebtedness of the economy to the rest of the world. BOP is an important macro-economic indicator used to assess the position of an economy (of credit or debit for current and capital acount, net acquisition of financial assets or net incurrence of liabilities for BOP financial account and international investment position) towards the external world. Out of BOP data, some indicators on international position of the EU and Member States are derived. Indicators on Main Balance of Payments and International Investment Position items as share of GDP are presented as percentage of GDP for given year or quarter and moving average for 3 consecutive years for:balance, credit and debit flows of current and capital accounts and of main current account  items: goods, services, primary and secondary income,net flows, net acquisition of financial assets and net incurrence of liabilities for total financial account and foreign direct investment, international investment position and net external debt at the end of reference quarter or year.   Indicators on export market shares present shares of each EU Member State in total world exports of goods and services for given year, and 1-year and 5-year percentage changes of these shares, as well as shares in OECD exports and 5-year percentage changes of these shares.
    • 三月 2017
      来源: Statistics Bureau of Japan
      上传者: Knoema
      访问日期: 08 一月, 2019
      选择数据集
      Statistics Name: Current Survey of Supply and Demand for Petroleum Products Annual Report Petroleum Products Import and Export of Petroleum Products/Monthly Export by Area and Country F.Y.
    • 三月 2017
      来源: Statistics Bureau of Japan
      上传者: Knoema
      访问日期: 21 六月, 2019
      选择数据集
      Statistics Name: Current Survey of Supply and Demand for Petroleum Products Annual Report Petroleum Products Import and Export of Petroleum Products/Monthly Export by Area and Country Month
    • 二月 2015
      来源: World Integrated Trade Solution
      上传者: Knoema
      访问日期: 04 一月, 2019
      选择数据集
      The Export of Value Added (EVA) dataset illustrates the strength of economy- wide linkages. It provides data on how value added structures and services linkages to trade have evolved over time. Thanks to repeated updating of the GTAP dataset, we have data for both cross border linkages in recent years, and how these have changed since the early 1990s. This serves as the basis for the database, which builds on Christen, Francois, and Hoekman (2012) and Francois, Manchin, and Tomberger (2012). We work with a panel of global input-output data (a set of global social accounting matrices spanning intermittent years from 1992 to 2011) that covers not only key OECD economies, but also a range of developing countries as well. Sector_GMatrix:  This matrix contains the total domestic value added based on linkages. Depending whether rows or columns are considered its sum corresponds to forward (row) or backward (colunn) linkages. Thus reading a row for a given sector (sector presented on the y-axis) provides information about how much this sector went into each sector (on the x-axis) as inputs DomVAshare: This vector denotes the domestic share of value added of gross value of output per sector. GXshare: Denotes the share of each sector in total exports per country based on the gross value of exports. DXshare: Denotes the share of each sector’s exports of total exports per country based on direct value added, ignoring linkages. VXsharefwd: Denotes the total value added in exports based on forward linkages per sector and country. VXsharebwd: Denotes the total value added in exports based on backward linkages. It is obtained by taking the column-sums of matrix H.
    • 五月 2016
      来源: World Bank
      上传者: Knoema
      访问日期: 25 四月, 2019
      选择数据集
    • 五月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 18 六月, 2018
      选择数据集
    • 六月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 16 六月, 2018
      选择数据集
    • 六月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 16 六月, 2018
      选择数据集
    • 六月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 16 六月, 2018
      选择数据集
    • 五月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 18 六月, 2018
      选择数据集
    • 五月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 18 六月, 2018
      选择数据集
    • 九月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 02 十月, 2016
      选择数据集
    • 九月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 05 十月, 2016
      选择数据集
    • 九月 2014
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 十一月, 2015
      选择数据集
    • 九月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 02 十月, 2016
      选择数据集
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 七月, 2019
      选择数据集
      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
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 七月, 2019
      选择数据集
      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
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 08 七月, 2019
      选择数据集
      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
    • 九月 2019
      来源: Department of Statistics, Singapore
      上传者: Knoema
      访问日期: 13 九月, 2019
      选择数据集
      Prior to January 2003, merchandise trade data excludes Singapore's merchandise trade with Indonesia.
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 七月, 2019
      选择数据集
      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
    • 十月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 03 十一月, 2018
      选择数据集
      The table shows the breakdown of the Extra-EU exports by invoicing currency and by the main product groups. Shares by invoicing currency are calculated, within each product group, on the total flow.
  • F
    • 九月 2019
      来源: Kuwait Central Statistical Bureau
      上传者: Knoema
      访问日期: 09 十月, 2019
      选择数据集
    • 八月 2019
      来源: Ministry of Development Planning and Statistics, Qatar
      上传者: Knoema
      访问日期: 04 九月, 2019
      选择数据集
      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.
  • G
  • H
    • 四月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 05 五月, 2019
      选择数据集
      '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 patentsare 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
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 22 八月, 2019
      选择数据集
      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.
    • 七月 2017
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 10 十月, 2017
      选择数据集
      Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010. 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.
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 七月, 2019
      选择数据集
      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
    • 十月 2019
      来源: Statistics Denmark
      上传者: Knoema
      访问日期: 11 十月, 2019
      选择数据集
      International trade in services, quarterly by imports and exports, country and time
    • 九月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 14 九月, 2019
      选择数据集
      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.
    • 九月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 14 九月, 2019
      选择数据集
      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.
    • 九月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 14 九月, 2019
      选择数据集
      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.
    • 九月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 14 九月, 2019
      选择数据集
      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.
    • 九月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 14 九月, 2019
      选择数据集
      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.
  • M
  • O
    • 十一月 2018
      来源: National Centre for Statistics and Information, Oman
      上传者: Knoema
      访问日期: 09 十一月, 2018
      选择数据集
      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.
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
  • S
    • 一月 2017
      来源: Eurostat
      上传者: Knoema
      访问日期: 20 二月, 2017
      选择数据集
      This indicator measures the share of (domestic) value added (billion euros) generated due to one country’s exports to the rest of the world. Value added includes both domestic effects and spillovers. Domestic effects capture the value added in a given Member State that is generated by its own extra-EU exports to the rest of the world. Spillovers capture the value added in a given Member State that is generated by the extra-EU exports of another Member State to non-EU countries. Data is based on ESA 1995 methodology; Nace Rev 1 industry classification and CPA2002 product classification.
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 13 七月, 2019
      选择数据集
      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 - %
    • 一月 2017
      来源: Eurostat
      上传者: Knoema
      访问日期: 20 二月, 2017
      选择数据集
      This indicator shows the share of value added generated in the EU services sector due to the extra-EU exports of manufacturing goods of a Member State (e.g. value added generated in the services sector in Europe generated by Germany’s exports of manufacturing goods to non-EU countries). The indicator is expressed as a percentage of the total value added embodied in EU manufacturing exports and is available for 10 industries. Data is based on ESA 1995 methodology; Nace Rev 1 industry classification and CPA2002 product classification.
    • 十二月 2013
      来源: IndexMundi
      上传者: Knoema
      访问日期: 16 十二月, 2013
      选择数据集
      Sheath Contraceptives of Vulcanised Rubber Exports
  • T
    • 二月 2019
      来源: World Integrated Trade Solution
      上传者: Knoema
      访问日期: 07 三月, 2019
      选择数据集
      This dataset provides trade and tariff data for countries where the reporter is "World".
    • 八月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 09 八月, 2019
      选择数据集
      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.
    • 十一月 2018
      来源: Statistics Denmark
      上传者: Knoema
      访问日期: 02 五月, 2019
      选择数据集
    • 二月 2016
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 29 十一月, 2018
      选择数据集
      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.
  • U
    • 八月 2019
      来源: U.S. Department of Commerce, International Trade Administration
      上传者: Knoema
      访问日期: 08 十月, 2019
      选择数据集
      US: Medium, Heavy Duty & Other Trucks Exports/Imports Data  
    • 四月 2019
      来源: U.S. Department of Agriculture
      上传者: Knoema
      访问日期: 13 四月, 2019
      选择数据集
      This dataset covers the following public data available at US Dept. of Agriculture website. 1. Wheat: Supply and disappearance 2. Hard red winter wheat: Supply and disappearance 3. Hard red spring wheat: Supply and disappearance 4. Soft red winter wheat: Supply and disappearance 5. White wheat: Supply and disappearance 6. U.S. wheat exports by selected destinations (1,000 metric tons) Reference Market year (start from Jun-May) Q 1 in Market year: Jun-August Q 2 in Market year: Sep-Nov Q 3 in Market year: Dec-Feb Q 4 in Market year: March-May
    • 八月 2019
      来源: U.S. Department of Commerce, International Trade Administration
      上传者: Knoema
      访问日期: 16 八月, 2019
      选择数据集
      Used Passenger Vehicle Exports and Imports Statistics of U.S.   Note: for 2019 values calculated as YTD from January 2019 to June 2019
  • V
  • К
    • 二月 2018
      来源: Federal State Statistics Service, Russia
      上传者: Knoema
      访问日期: 13 十二月, 2018
      选择数据集
      Методологические пояснения: Отражается общий объем экспорта рыбы, рыбопродуктов и морепродуктов в том числе проданных(купленных) за пределами таможенной границы(в нейтральных водах, территориальных водах иностранных государств и иностранных портах. Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Экспорт рыбы, рыбопродуктов и морепродуктов Источники и способ формирования показателя: * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов
    • 七月 2018
      来源: Federal State Statistics Service, Russia
      上传者: Knoema
      访问日期: 13 十二月, 2018
      选择数据集
      Методологические пояснения: Отражается количество экспортируемых рыбы, рыбопродуктов и морепродуктов, выловленных (добытых) в пределах внутренних морских вод РФ, территориального моря РФ, континентального шельфа РФ, исключительной экономической зоны РФ не подлежащих доставке для оформления на таможенную территорию РФ. Комментарий: По техническим причинам данные по показателю за 2018 год не загружены в ЕМИСС. Информация размещена на официальном сайте Росстата (gks.ru) по адресу: /Официальная статистика/Внешняя торговля/Оперативная информация/Сведения об экспорте рыбы, рыбопродуктов и морепродуктов вне зоны действия таможенного контроля Российской Федерации за 2018 г. Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Экспорт рыбы, рыбопродуктов и морепродуктов Источники и способ формирования показателя: * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов
    • 三月 2018
      来源: Federal State Statistics Service, Russia
      上传者: Knoema
      访问日期: 13 十二月, 2018
      选择数据集
      Методологические пояснения: Отражается количество экспортируемых рыбы, рыбопродуктов и морепродуктов, выловленных (добытых) в пределах внутренних морских вод РФ, территориального моря РФ, континентального шельфа РФ, исключительной экономической зоны РФ и доставленных для оформления на таможенную территорию РФ. Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Экспорт рыбы, рыбопродуктов и морепродуктов Источники и способ формирования показателя: * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов
  • П
    • 四月 2018
      来源: Federal State Statistics Service, Russia
      上传者: Knoema
      访问日期: 15 十二月, 2018
      选择数据集
      Методологические пояснения: Указываются суммы всех поступлений  по действующим соглашениям в отчетном году. Поступления денежных средств для целей   статистического наблюдения признаются в том отчетном периоде, в котором они имели место независимо от фактического поступления денежных средств (метод начисления). Датой поступления (выплаты) денежных средств считается дата осуществления расчетов в соответствии с условиями заключенных договоров, контрактов. Комментарий: № 1-лицензия Информацию с 2017 г. см. по показателю «Поступления (выплаты) по экспорту технологий по соглашениям с зарубежными странами с 2017 г.» Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Коммерческий обмен технологиями с зарубежными странами (партнерами) Источники и способ формирования показателя: * Сведения о коммерческом обмене технологиями с зарубежными странами (партнерами)
  • С
    • 四月 2018
      来源: Federal State Statistics Service, Russia
      上传者: Knoema
      访问日期: 15 十二月, 2018
      选择数据集
      Методологические пояснения: Число соглашений, входящих в пакет соглашений по экспорту технологий и услуг технического характера.Информация публикуется в статистических сборниках, мониторинге угроз национальной безопасности РФ; используется в информационно-справочных материалах. Проставляется общая стоимость объекта соглашения по экспорту, приведенная в договоре (контракте). Комментарий: № 1-лицензия Информацию с 2017 г. см. по показателю «Стоимость предмета соглашений по экспорту технологий с зарубежными странам с 2017 г.» Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Коммерческий обмен технологиями с зарубежными странами (партнерами) Источники и способ формирования показателя: * Сведения о коммерческом обмене технологиями с зарубежными странами (партнерами)
    • 八月 2018
      来源: Federal State Statistics Service, Russia
      上传者: Knoema
      访问日期: 13 十二月, 2018
      选择数据集
      Методологические пояснения: Отражается количество экспортируемых рыбы, рыбопродуктов и морепродуктов, выловленных (добытых) в пределах внутренних морских вод РФ, территориального моря РФ, континентального шельфа РФ, исключительной экономической зоны РФ не подлежащих доставке для оформления на таможенную территорию РФ Комментарий: По техническим причинам данные по показателю за 2018 год не загружены в ЕМИСС. Информация размещена на официальном сайте Росстата (gks.ru) по адресу: /Официальная статистика/Внешняя торговля/Оперативная информация/Сведения об экспорте рыбы, рыбопродуктов и морепродуктов вне зоны действия таможенного контроля Российской Федерации за 2018 г. Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Экспорт рыбы, рыбопродуктов и морепродуктов Источники и способ формирования показателя: * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов
    • 三月 2018
      来源: Federal State Statistics Service, Russia
      上传者: Knoema
      访问日期: 13 十二月, 2018
      选择数据集
      Методологические пояснения: Отражается количество экспортируемых рыбы, рыбопродуктов и морепродуктов, выловленных (добытых) в пределах внутренних морских вод РФ, территориального моря РФ, континентального шельфа РФ, исключительной экономической зоны РФ и доставленных для оформления на таможенную территорию РФ. Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Экспорт рыбы, рыбопродуктов и морепродуктов Источники и способ формирования показателя: * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов
  • Ч
    • 四月 2018
      来源: Federal State Statistics Service, Russia
      上传者: Knoema
      访问日期: 15 十二月, 2018
      选择数据集
      Методологические пояснения: Число соглашений, входящих в пакет соглашений по эксорту технологий и услуг технического характера Комментарий:  № 1-лицензия Информацию с 2017 г. см. по показателю «Число соглашений по экспорту с 2017 г.» Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Коммерческий обмен технологиями с зарубежными странами (партнерами) Источники и способ формирования показателя: * Сведения о коммерческом обмене технологиями с зарубежными странами (партнерами)

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