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Новая Зеландия

  • Governor-General:Patsy Reddy
  • Премьер-министр:John Phillip Key
  • Столица:Wellington
  • Языки:English (de facto official) 89.8%, Maori (de jure official) 3.5%, Samoan 2%, Hindi 1.6%, French 1.2%, Northern Chinese 1.2%, Yue 1%, other or not stated 20.5%, New Zealand Sign Language (de jure official) note: shares sum to 120.8% due to multiple responses on census (2013 est.)
  • Правительство
  • Статистическое агентство
  • Население:4 595 700 (2015)
  • Площадь:263 310 (2015)
  • ВВП на душу населения:37 808 (2015)
  • GDP, billion current US$:173,8 (2015)
  • Индекс Джини:36,17 (1997)
  • Рейтинг Ease of Doing Business:1 (2017)
Все наборы данных:  2 3 A B C D E F G H I J K L M N O P Q R S T U V W
  • 2
    • Февраль 2013
      Источник: United Nations Office on Drugs and Crime
      Загружен: Knoema
      Дата обращения к источнику: 04 марта, 2013
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      Percentage of homicides by firearm, number of homicides by firearm and homicide by firearm rate per 100,000 population.Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person.
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    • Июль 2016
      Источник: Knoema
      Загружен: Knoema
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      Accuracy of annual economic forecasts of international organizations - European Commission, IMF, OECD, World Bank, UN LINK
    • Октябрь 2011
      Источник: Knoema
      Загружен: Knoema
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      Accuracy of annual economic forecasts of international organizations - European Commission, IMF, OECD, World Bank, UN LINK
    • Февраль 2017
      Источник: Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 13 февраля, 2017
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      Activities of U.S. MNEs: Majority-Owned Foreign Affiliates, Selected Indicators, 2014.
    • Июнь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2015
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      Data given in this domain are collected on a yearly basis by the National Statistical Institutes or Ministries and are based on the annual Eurostat Model Questionnaires on ICT (Information and Communication Technologies) usage and e-commerce in enterprises. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. The aim of the European ICT usage surveys is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies in enterprises and e-commerce at European level. Coverage: The characteristics to be provided are drawn from the following list of subjects: - ICT systems and their usage in enterprises, - use of the Internet and other electronic networks by enterprises, - e-commerce, - e-business processes and organisational aspects, - use of ICT by enterprises to exchange information and services with governments and public administrations (e-government), - ICT competence in the enterprise and the need for ICT skills, - barriers to the use of ICT, the Internet and other electronic networks, e-commerce and e-business processes, - ICT expenditure and investment, - ICT security and trust, - use of ICT and its impact on the environment (Green ICT), - access to and use of the Internet and other network technologies for connecting objects and devices (Internet of Things), - access to and use of technologies providing the ability to connect to the Internet or other networks from anywhere at any time (ubiquitous connectivity). Breakdowns: - by size class, - by NACE categories, - by region (until 2010)
    • Сентябрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 16 сентября, 2014
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      These tables are a complement to the report Agricultural Policies in OECD Countries: Monitoring and Evaluation 2009. They comprise the summary of agricultural support estimates for OECD countries.
    • Июль 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2015
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    • Июнь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      Agriculture Total contains all the emissions produced in the different agricultural emissions sub-domains (enteric fermentation, manure management, rice cultivation, synthetic fertilizers, manure applied to soils, manure left on pastures, crop residues, cultivation of organic soils, burning of crop residues, burning of savanna, energy use), providing a picture of the contribution to the total amount of GHG emissions from agriculture. GHG emissions from agriculture consist of non-CO2 gases, namely methane (CH4) and nitrous oxide (N2O), produced by crop and livestock production and management activities. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg CO2 and CO2eq (from CH4 and N2O), by underlying agricultural emission sub-domain and by aggregate (agriculture total, agriculture total plus energy, agricultural soils).
    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 25 августа, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Июнь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 20 августа, 2015
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    • Декабрь 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 12 января, 2017
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      A commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use. -- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment. -- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire. -- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.
    • Январь 2015
      Источник: Ministry of Tourism, Government of India
      Загружен: Knoema
      Дата обращения к источнику: 18 мая, 2016
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    • Январь 2017
      Источник: Akamai
      Загружен: Knoema
      Дата обращения к источнику: 25 апреля, 2017
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    • Октябрь 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2016
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      The “ALFS Summary tables” dataset is a subset of the Annual Labour Force Statistics database which presents annual labour force statistics and broad population series for 34 OECD member countries plus Brazil, Columbia and Russian Federation and 4 geographical areas (Major Seven, Euro area, European Union and OECD-Total). Data are presented in thousands of persons, in percentage or as indices with base year 2010=100.This dataset contains estimates from the OECD Secretariat for the latest years when countries did not provide data. These estimates are necessary to compile aggregated statistics for the geographical areas for a complete span of time. Since 2003, employment data by sector for the United States are compiled following the North American Industrial Classification System (NAICS); therefore they are not strictly comparable with other countries’ data.Euro area and European Union data were extracted from Eurostat (LFS Series, Detailed annual survey results in New Cronos). Euro area refer to Euro area with 17 countries (geo = ea17). European Union refers to European Union with 27 countries (geo = eu27).
    • Июнь 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2014
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      This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 22 июня, 2016
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      OECD Taxing Wages. Taxing Wages provides unique information on income tax paid by workers and social security contributions levied on employees and their employers in OECD countries. In addition, this annual publication specifies family benefits paid as cash transfers. Amounts of taxes and benefits are detailed program by program, for eight household types which differ by income level and household composition. Results reported include the marginal and effective tax burden for one- and two-earner families, and total labour costs of employers.
    • Апрель 2014
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 16 апреля, 2014
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      Angola trade with selected countries by commodity 04 HS, 2013
    • Май 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 09 мая, 2016
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      The "ALFS Summary tables" dataset is a subset of the Annual Labor Force Statistics database which presents annual labor force statistics and broad population series for 34 OECD member countries plus Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total). Note that Chile became a member of the OECD on 7 May 2010, Slovenia on 21 July 2010, Israel on 7 September 2010 and Estonia on 9 December 2010. Chile, Estonia, Israel and Slovenia have been included in this dataset. Data are presented in thousands of persons, in percentage or as indices with base year 2010=100.
    • Февраль 2017
      Источник: European Commission
      Загружен: Knoema
      Дата обращения к источнику: 22 февраля, 2017
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      AMECO is the annual macro-economic database of the European Commission's Directorate General for Economic and Financial Affairs (DG ECFIN). The database is regularly cited in DG ECFIN's publications and is indispensable for DG ECFIN's analyses and reports. To ensure that DG ECFIN's analyses are verifiable and transparent to the public, AMECO data is made available free of charge. AMECO contains data for EU-27, the euro area, EU Member States, candidate countries and other OECD countries (United States, Japan, Canada, Switzerland, Norway, Iceland, Mexico, Korea, Australia and New Zealand).
    • Октябрь 2015
      Источник: International Tropical Timber Organization
      Загружен: Knoema
      Дата обращения к источнику: 03 июня, 2016
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      ITTO's Annual Review and Assessment of the World Timber Situation compiles the most up-to-date and reliable international statistics available on global production and trade of timber, with an emphasis on the tropics. It also provides information on trends in forest area, forest management and the economies of ITTO member countries.
    • Июнь 2016
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2017
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      APD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in Asia and Pacific. Data for the REO for Asia and Pacific is prepared in conjunction with the semi-annual World Economic Outlook (WEO) exercises, spring and fall. Data are consistent with the projections underlying the WEO. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.
    • Январь 2014
      Источник: World Resources Institute
      Загружен: Knoema
      Дата обращения к источнику: 07 декабря, 2015
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      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area.Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin.
    • Февраль 2016
      Источник: Auto Care Association
      Загружен: Knoema
      Дата обращения к источнику: 17 февраля, 2016
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      U.S. Commercial Service Automotive Resource Guide, 2014 - Export.gov - Helping U.S. Companies Export Source: United States Department of Commerce, Bureau of the Census, Foreign Trade Division. TPIS Database: USHS EXPORTS, Revised Statistics for 1989–2012.
    • Декабрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2016
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      The concept used is the total number of hours worked over the year divided by the average number of people in employment. The data are intended for comparisons of trends over time; they are unsuitable for comparisons of the level of average annual hours of work for a given year, because of differences in their sources. Part-time workers are covered as well as full-time workers.The series on annual hours actually worked per person in total employment presented in this table for all 34 OECD countries are consistent with the series retained for the calculation of productivity measures in the OECD Productivity database (www.oecd.org/statistics/productivity/compendium). However, there may be some differences for some countries given that the main purpose of the latter database is to report data series on labour input (i.e. total hours worked) and also because the updating of databases occur at different moments of the year.Hours Hours actually worked per person in employment are according to National Accounts concepts for 18 countries: Austria, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Italy, Korea, the Netherlands, Norway, the Slovak Republic, Spain, Sweden, Switzerland and Turkey. OECD estimates for Belgium, Ireland, Luxembourg and Portugal for annual hours worked are based on the European Labour Force Survey, as are estimates for dependent employment only for Austria, Estonia, Greece, the Slovak Republic and Slovenia. The table includes labour-force-survey-based estimates for the Russian Federation.countries: For further details and country specfic notes see: www.oecd.org/employment/outlook and www.oecd.org/employment/emp/ANNUAL-HOURS-WORKED.pdf
    • Декабрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 26 октября, 2016
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      This dataset contains data on average annual wages per full-time and full-year equivalent employee in the total economy. Average annual wages per full-time equivalent dependent employee are obtained by dividing the national-accounts-based total wage bill by the average number of employees in the total economy, which is then multiplied by the ratio of average usual weekly hours per full-time employee to average usually weekly hours for all employees. The data, from 1990 to 2012 are available in : 2012 USD exchange rates and 2012 constant prices Aggregation and consolidation Average wages are converted in USD PPPs using 2012 USD PPPs for private consumption and are deflated by a price deflator for private final consumption expenditures in 2012 prices. in 2012 constant prices and NCU in 2012 USD PPPs and 2012 constant prices in 2012 USD exchange rates and 2012
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
  • B
    • Апрель 2017
      Источник: Baker Hughes
      Загружен: Knoema
      Дата обращения к источнику: 10 апреля, 2017
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    • Февраль 2017
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 15 февраля, 2017
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      Since the collection of 2009 data, the scope of the OECD Global Insurance Statistics questionnaire has been expanded. These changes led to the collection of key balance sheet and income statement items for direct insurance and reinsurance sectors, such as: gross claims paid, outstanding claims provision (changes), gross operating expenses, commissions, total assets, gross technical provisions (of which: unit-linked), shareholder equity, net income.
    • Июнь 2015
      Источник: Barro-Lee
      Загружен: Knoema
      Дата обращения к источнику: 12 октября, 2015
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    • Август 2015
      Источник: Barro-Lee
      Загружен: Knoema
      Дата обращения к источнику: 12 октября, 2015
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    • Август 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2016
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      Better Life Index aims to involve citizens in the debate on measuring the well-being of societies, and to empower them to become more informed and engaged in the policy-making process that shapes all our lives. Each of the 11 topics of the Index is currently based on one to three indicators. Within each topic, the indicators are averaged with equal weights. The indicators have been chosen on the basis of a number of statistical criteria such as relevance (face-validity, depth, policy relevance) and data quality (predictive validity, coverage, timeliness, cross-country comparability etc.) and in consultation with OECD member countries. These indicators are good measures of the concepts of well-being, in particular in the context of a country comparative exercise. Other indicators will gradually be added to each topic.
    • Май 2016
      Источник: Federal Institute for Geosciences and Natural Resources
      Загружен: Knoema
      Дата обращения к источнику: 21 апреля, 2017
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    • Сентябрь 2016
      Источник: National Statistics Bureau, Bhutan
      Загружен: Knoema
      Дата обращения к источнику: 12 января, 2017
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      Bhutan : Tourism Statistics, 2015
    • Апрель 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 февраля, 2016
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      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • Октябрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 11 ноября, 2016
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      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
    • Январь 2017
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 января, 2017
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      '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 under Annexes section. 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 under Annexes section. 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 under Annexes section. 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 under Annexes section. 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.
    • Январь 2017
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 января, 2017
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      '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 under Annexes section. 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 under Annexes section. 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 under Annexes section. 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 under Annexes section. 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.
    • Март 2017
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 24 апреля, 2017
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      >All series on credit to the non-financial sector cover 44 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits.   >All series are published in local currency, in US dollars and as percentages of nominal GDP. The regional aggregates as percentages of GDP are calculated based on conversion to the US dollar at market and at purchasing power parity (PPP) exchange rates.
    • Март 2017
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 24 марта, 2017
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      Measure for all Combinations - Amounts Outstanding / Stocks
    • Январь 2017
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 13 февраля, 2017
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      Below Parameters are common for all combinations : Frequency - Quarterly Measure - Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors
    • Апрель 2017
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 16 апреля, 2017
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    • Февраль 2017
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 23 марта, 2017
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    • Февраль 2017
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 23 марта, 2017
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      The residential property price statistics collect data from different countries. The BIS has obtained permission from various national data providers, with the assistance of its member central banks, to disseminate these statistics. The topic ‘Property prices: Selected series,’ contains nominal and real quarterly values for 58 countries, both in levels and in growth rates (ie four series per country). Real series are the nominal price series deflated by the consumer price index. The BIS has made the selection based on the Handbook on Residential Property Prices and the experience and metadata of central banks.
    • Январь 2017
      Источник: Bloomberg
      Загружен: Knoema
      Дата обращения к источнику: 23 января, 2017
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      Bloomberg innovation index ranks countries and sovereigns based on their overall ability to innovate. It considers six equally weighted metrics, and their scores are combined to provide an overall score for each country from zero to 100.1. Research & Development: Research and development expenditure as a percentage of GDP2. Manufacturing: Manufacturing value-added per capita3. Productivity: GDP and GNI per employed person age 15+4. High-tech companies: Number of domestically domiciled high-tech public companies—such as aerospace and defense, biotechnology, hardware, software, semiconductors, Internet software and services, and renewable energy companies – as a share of world's total high-tech public companies5. Tertiary efficiency: Total enrolment in tertiary education, regardless of age, as a percentage of postsecondary cohort; minimum share of labor force with at least tertiary degrees; annual new science and engineering graduates as a percentage of the labor force and as a percentage of total tertiary graduates6. Researcher concentration: Professionals, including Ph.D. students, engaged in R&D per 1 million population7. Patents: Resident utility patent filings per 1 million population and per $1 million of R&D spent; utility patents granted as a percentage of world totalBloomberg innovation index evaluated more than 200 countries of which only 78 had data for at least six of the seven factors. Postsecondary education and patent activity consisted of multiple factors that were weighted equally. Weights were rescaled for countries with some but not all of the factors in those two metrics. The ranking shows only those countries included in the top 50.
    • Июнь 2016
      Источник: BP
      Загружен: Knoema
      Дата обращения к источнику: 21 июня, 2016
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      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • Июнь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 марта, 2016
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      The OECD broadband portal provides access to a range of broadband-related statistics gathered by the OECD. Policy makers must examine a range of indicators which reflect the status of individual broadband markets. The OECD broadband speed tests by country show the official measurements of actual access network broadband speed. The OECD broadband map shows national broadband statistics in OECD countries. Mobile broadband penetration has risen to 85.4% in the OECD area, meaning more than four wireless subscriptions for every five inhabitants, according to data for June 2015 released by the OECD .
    • Июнь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 23 марта, 2016
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      The OECD broadband portal provides access to a range of broadband-related statistics gathered by the OECD. Policy makers must examine a range of indicators which reflect the status of individual broadband markets. The OECD broadband speed tests by country show the official measurements of actual access network broadband speed. The OECD broadband map shows national broadband statistics in OECD countries. Mobile broadband penetration has risen to 85.4% in the OECD area, meaning more than four wireless subscriptions for every five inhabitants, according to data for June 2015 released by the OECD .
    • Июнь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 марта, 2016
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      The OECD broadband portal provides access to a range of broadband-related statistics gathered by the OECD. Policy makers must examine a range of indicators which reflect the status of individual broadband markets. The OECD broadband speed tests by country show the official measurements of actual access network broadband speed. The OECD broadband map shows national broadband statistics in OECD countries. Mobile broadband penetration has risen to 85.4% in the OECD area, meaning more than four wireless subscriptions for every five inhabitants, according to data for June 2015 released by the OECD .
    • Июнь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 марта, 2016
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      The OECD broadband portal provides access to a range of broadband-related statistics gathered by the OECD. Policy makers must examine a range of indicators which reflect the status of individual broadband markets. The OECD broadband speed tests by country show the official measurements of actual access network broadband speed. The OECD broadband map shows national broadband statistics in OECD countries. Mobile broadband penetration has risen to 85.4% in the OECD area, meaning more than four wireless subscriptions for every five inhabitants, according to data for June 2015 released by the OECD .
    • Июнь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 23 марта, 2016
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      The OECD broadband portal provides access to a range of broadband-related statistics gathered by the OECD. Policy makers must examine a range of indicators which reflect the status of individual broadband markets. The OECD broadband speed tests by country show the official measurements of actual access network broadband speed. The OECD broadband map shows national broadband statistics in OECD countries. Mobile broadband penetration has risen to 85.4% in the OECD area, meaning more than four wireless subscriptions for every five inhabitants, according to data for June 2015 released by the OECD . Note: unit of measure of indicators related to Internet selling and purchasing by industry is percentage of businesses with 10 or more employees in each industry group.
    • Июнь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      Greenhouse Gas (GHG) emissions from burning crop residues consist of methane (CH4) and nitrous oxide (N2O) gases produced by the combustion of a percentage of crop residues burnt on-site. The mass of fuel available for burning should be estimated taking into account the fractions removed before burning due to animal consumption, decay in the field, and use in other sectors (e.g., biofuel, domestic livestock feed, building materials, etc.). FAOSTAT emission estimates are computed at Tier 1 following the IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, reguions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O, Gg CO2eq and CO2eq from CH4 and N2O, by crop (maize, rice, sugarcane and wheat) and by aggregates. Implied emission factors for N2O and CH4 as well activity data (biomass burned) are also provided.
    • Май 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2016
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    • Апрель 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2015
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in this view of “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria)). The two tables that follow, “BERD by industry and source of funds” and “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • Апрель 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 марта, 2017
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by source of funds (business enterprise, government, other national funds, and funds from abroad). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and source of funds” and the one that follows, “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • Апрель 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 марта, 2017
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2000 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by type of costs (current expenditure, capital expenditure). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and type of costs” and the preceding one “BERD by industry and source of funds” present data for only one of the criteria, depending on the country.
    • Апрель 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 10 ноября, 2016
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector. Data include total business enterprise intramural expenditure on R&D by size class and source of funds.
    • Апрель 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 мая, 2016
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      This table presents research and development (R&D) statistics on personnel in the business enterprise sector. Measured in full-time equivalent are the number of total R&D personnel and researchers in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification.
    • Июнь 2014
      Источник: Economist Intelligence Unit
      Загружен: Knoema
      Дата обращения к источнику: 12 января, 2015
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      The business rankings model measures the quality or attractiveness of the business environment in the 82 countries covered by The Economist Intelligence Unit’s Country Forecast reports. It is designed to reflect the main criteria used by companies to formulate their global business strategies, and is based not only on historical conditions but also on expectations about conditions prevailing over the next five years. This allows the Economist Intelligence Unit to utilise the regularity, depth and detail of its forecasting work to generate a unique set of forward-looking business environment rankings on a regional and global basis.
    • Март 2017
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 19 апреля, 2017
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      The business tendency survey indicators cover a standard set of indicators for four economic sectors: manufacturing, construction, retail trade and other services. This includes an indicator of overall business conditions or business confidence in each sector. The consumer opinion survey indicators cover a restricted set of indicators on consumer confidence, expected economic situation and price expectations.Business and consumer opinion (tendency) surveys provide qualitative information that has proved useful for monitoring the current economic situation. Typically they are based on a sample of enterprises or households and respondents are asked about their assessments of the current situation and expectations for the immediate future. For enterprise surveys this concerns topics such as production, orders, stocks etc. and in the case of consumer surveys their intentions concerning major purposes, economic situation now compared with the recent past and expectations for the immediate future. Many survey series provide advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. Such series are known as leading indicators in cyclical analysis. These types of survey series are widely used as component series in composite leading indicators. The main characteristic of these types of surveys is that instead of asking for exact figures, they usually ask for the direction of change e.g. a question on tendency by reference to a “normal” state, e.g. of production level. Possible answers are generally of the three point scale type e.g. up/same/down or above normal/normal/below normal for enterprise surveys and of the five point scale type e.g. increase sharply/increase slightly/remain the same/fall slightly/fall sharply for consumer surveys. In presenting the results as a time series, only the balance is shown. That is “same” or “normal” answers are ignored and the balance is obtained by taking the difference between percentages of respondents giving favourable and unfavourable answers.Virtually all business tendency and consumer opinion survey data are presented as time series of balances in this dataset, either in raw or seasonally adjusted form. Very few series are presented as indices, and where these exist they have generally been converted from underlying balances by countries before submitting the data to the OECD.  
    • Декабрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 09 сентября, 2016
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      Institutional coverage As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Business written in the reporting country on a gross and net premium basis. It contains a breakdown between domestic companies, foreign-controlled companies and branches and agencies or foreign companies.
    • Февраль 2012
      Источник: Federal State Statistics Service, Russia
      Загружен: Knoema
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      Внешняя торговля товарами Российской Федерации по странам партнерам, 1995-2011
  • C
    • Декабрь 2015
      Источник: World Resources Institute
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2016
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      CAIT Historic allows for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 186 countries, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2012 and multi-sector greenhouse gas emission for 1990-2012.
    • Август 2013
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 сентября, 2014
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      Transactions within the international production network and imports and exports of final goods and services can be estimated by using an inter-country economic model based on multi-regional input-output (MRIO) modelling techniques. In order to achieve this, national Input-Output tables are first converted to a common currency (nominal USD) and the import matrices are disaggregated to separate bilateral flows of goods and services. A range of adjustments to deal with measurement issues such as re-exports; unspecified partners and commodities; and missing data, particularly for trade in services, are necessary before the analysis.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 августа, 2014
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      Note:  The updates and revisions for the OECD Central Government Debt Database have been suspended. This dataset is no longer updated. For more info, please read http://stats.oecd.org/Index.aspx?DataSetCode=GOV_DEBT   Statistical population The focus of this dataset is to provide comprehensive quantitative information on marketable and non-marketable central government debt instruments in all OECD member countries. The coverage of the data is limited to central government debt issuance and excludes therefore state and local government debt and social security funds.
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 июля, 2016
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      6This table reports statutory central government personal income tax rates for wage income plus the taxable income thresholds at which these statutory rates apply. The table also reports basic/standard tax allowances, tax credits and surtax rates. The information is applicable to a single person without dependents. The threshold, tax allowance and tax credit amounts are expressed in national currencies Tapered means that the tax relief basic amount is reduced with increasing income Further explanatory notes may be found in the Explanatory Annex This data represents part of the data presented within the Excel file “Personal income tax rates and thresholds for central governments - Table I.1”. The Data for 1981 to 1999 is not included here within as not all the data for these years is either available, or can be verified. The OECD tax database provides comparative information on a range of tax statistics - tax revenues, personal income taxes, non-tax compulsory payments, corporate and capital income taxes and taxes on consumption - that are levied in the 34 OECD member countries.” Tax policy Analysis homepage OECD Tax Database Taxing Wages Dissemination format(s) This data is also presented through the OECD Tax database webpage. OECD Tax Database
    • Март 2016
      Источник: German Chemicals Industry Association
      Загружен: Knoema
      Дата обращения к источнику: 25 апреля, 2016
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      Chemistry facts and figures 2015: Foreign Trade
    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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    • Январь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 22 сентября, 2016
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    • Декабрь 2012
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 сентября, 2016
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    • Август 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 августа, 2016
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      Institutional coverage As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Commissions in the reporting country, containing a breakdown between domestic companies, foreign-controlled companies and branches and agences of foreign companies.
    • Февраль 2017
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2017
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • Март 2016
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2016
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    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Июнь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 июня, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Июнь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 июня, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the "identity" of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
      Выбрать
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Ноябрь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 ноября, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • Июнь 2012
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 11 сентября, 2014
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      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.   
    • Декабрь 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2014
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      Eurostat Dataset Id:educ_bo_ou_comp The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The completion rate (educ_bo_ou_comp) was computed in the framework of the UOE data collection (jointly carried out by Unesco, OECD and Eurostat), but is usually disseminated by OECD only. The methodology for estimating completion rates varies across countries. They can use three methods: the cross-section method, the true cohort method, or the synthetic cohort method (see section 11.1 below for more details). The year of reference gives the reference year for the number of graduates. The estimation assumes constant student flows at the tertiary level, owing to the need for consistency between the graduate cohort in the reference year and the entrant cohort n years before. This assumption may be an oversimplification. Results are less reliable in systems in which enrolments fluctuate markedly, or students are faced with many different options as regards the length of courses for which they may enrol or in which there are many changes in programmes between the years of admission and graduation respectively. The inclusion of foreign students in the new entrant questionnaire can have an impact on the completion rates indicator. In some countries, the proportion of foreign students represents a large part of tertiary population, and all of them are considered as new entrants in tertiary education (as advised in UOE Guidelines) whereas most of them won't be graduated at this level of education. The consequence is to underestimate the completion rates in those countries with relatively large proportions of foreign students enrolled in tertiary education.
    • Апрель 2017
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 12 апреля, 2017
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      CLIs are calculated for 33 OECD countries (Iceland is not included), 6 non-member economies and 8 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators. CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms. For further information on interpretation and comparability of various form please refer to the presentation section of the OECD CLI methodology document: http://www.oecd.org/std/leading-indicators/41629509.pdf. The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI. The full list of component series used in the calculation of each country's CLI is available on the OECD website at: http://www.oecd.org/std/leading-indicators/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm . Detailed information on the OECD methodology for CLIs can be found on the OECD website at http://stats.oecd.org/mei/default.asp?rev=2 .
    • Апрель 2017
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 25 апреля, 2017
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      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • Март 2017
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 19 апреля, 2017
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      The 'Consumer Prices (MEI)' dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 35 OECD member countries and for some non-member countries. The 'Consumer Prices (MEI)' dataset itself contains statistics on Consumer Price Indices. The data series presented have been chosen as the most relevant prices statistics in the MEI database for which comparable data across countries is available. 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. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data), and are presented as an index where the year 2010 is the base year.
    • Декабрь 2016
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 13 февраля, 2017
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      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • Июль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2016
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • Январь 2017
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 января, 2017
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications / granted to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.
    • Январь 2017
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 января, 2017
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications / granted to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.
    • Июль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2016
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • Июль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 17 июля, 2016
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • Январь 2017
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 января, 2017
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications / granted to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.
    • Январь 2017
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 января, 2017
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications / granted to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.
    • Июль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 17 июля, 2016
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • Декабрь 2016
      Источник: Transparency International
      Загружен: Knoema
      Дата обращения к источнику: 30 января, 2017
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      Transparency International(TI) defines corruption as the abuse of entrusted power for private gain. This definition encompasses corrupt practices in both the public and private sectors. The Corruption Perceptions Index (CPI) ranks countries according to the perception of corruption in the public sector. The CPI is an aggregate indicator that combines different sources of information about corruption, making it possible to compare countries. The CPI ranks almost 200 countries by their perceived levels of corruption, as determined by expert assessments and opinion surveys.
    • Февраль 2017
      Источник: Numbeo
      Загружен: Knoema
      Дата обращения к источнику: 07 марта, 2017
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      These indices are relative to New York City (NYC). Which means that for New York City, each index should be 100(%). If another city has, for example, rent index of 120, it means rents in average in that city are 20% more expensive than in New York City. If a city has rent index of 70, that means in the average in that city rents are 30% less expensive than in New York City. Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods price, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent). Rent Index is estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price for renting in that city is 80% of price in New York. Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses "Markets"section of each city. Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC. Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent in the city comparing to New York City. Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy 60% less typical goods and services than New York City residents with an average salary.
    • Апрель 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 20 августа, 2015
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      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • Ноябрь 2015
      Источник: Bloom Consulting
      Загружен: Knoema
      Дата обращения к источнику: 02 мая, 2016
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      The United States of America remains number one in both the region and the world, challenged distantly by its ever-growing neighbors, Canada and Mexico, ranking second and third respectively within the Americas. Its incredible economic performance in terms of tourism receipts, almost 10 times larger than its main competitor Canada, makes the USA the absolute leader in the region despite its poorer online performance, especially in social media.
    • Декабрь 2016
      Источник: Federal Financial Institutions Examination Council
      Загружен: Knoema
      Дата обращения к источнику: 03 апреля, 2017
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      Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report
    • Июль 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 02 ноября, 2016
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      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • Июль 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2016
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      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • Март 2012
      Источник: Knoema
      Загружен: Knoema
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      Country Risk Assessment Database, 2012. Source: Multiple Sources - EuroStat, WB, IMF, OECD, UNCTAD
    • Январь 2017
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 17 февраля, 2017
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      The country statistical profiles provide a broad selection of indicators, illustrating the demographic, economic, environmental and social developments, for all OECD members. The dataset also covers the five key partner economies with which the OECD has developed an enhanced engagement program with (Brazil, China, India, Indonesia and South Africa) ,accession countries (Colombia, Costa Rica and Lithuania) , Peru and the Russian Federation. The user can easily compare indicators across all countries. Total fertility rates - Unit of measure used: Number of children born to women aged 15 to 49
    • Апрель 2016
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 18 апреля, 2016
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      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
    • Декабрь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three subsectors of agriculture, forestry, and fishing are completely specified. In other cases, complete disaggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
    • Октябрь 2013
      Источник: ESPN Cricinfo
      Загружен: Knoema
      Дата обращения к источнику: 04 октября, 2013
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      Cricket Statistics, 2013
    • Февраль 2017
      Источник: Numbeo
      Загружен: Knoema
      Дата обращения к источнику: 27 апреля, 2017
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      Crime Index is an estimation of overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high.Safety index is, on the other way, quite opposite of crime index. If the city has a high safety index, it is considered very safe.
    • Февраль 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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      Eurostat Dataset Id:crim_hist Data on crime (offences recorded by the police - total crime, homicide, violent crime, robbery, domestic burglary, theft of a motor vehicle, drug trafficking), the number of police officers and the prison population are available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates. Data on homicide is also available by capital cities (police areas) in these countries. Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data come from official sources in the countries such as the National Statistics Office, the National Prison Administration, the Ministries of the Interior or Justice and the Police. Calendar year or national financial year data are provided in absolute numbers. No statistical adjustments are carried out. Regional data : Data on domestic burglary, homicide, robbery and theft of motor vehicle are available on a regional level for 2008, 2009 and 2010 only. The data are available for the European Union member States, EFTA countries, EU Candidate countries and EU Potential candidates. Please note that for paragraphs where non metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
    • Июнь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      Greenhouse gas (GHG) emissions from crop residues consist of direct and indirect nitrous oxide (N2O) emissions from nitrogen (N) in crop residues and forage/pasture renewal left on agricultural fields by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories, Vol. 4, Ch. 2 and 11(http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by crop and N content in residues.
    • Июнь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      GHG emissions data from cultivation of organic soils are those associated with nitrous oxide gas from cultivated organic soils under cropland (item: cropland organic soils) and grassland (item: grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by the two aggregated. Implied emission factor for N2O as well activity data (areas) are also provided.
    • Июль 2015
      Источник: Center for World University Rankings
      Загружен: Knoema
      Дата обращения к источнику: 21 июля, 2015
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      The Center for World University Rankings (CWUR) publishes the only global university ranking that measures the quality of education and training of students as well as the prestige of the faculty members and the quality of their research without relying on surveys and university data submissions.
  • D
    • Декабрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 15 ноября, 2016
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      This dataset contains three earnings-dispersion measures - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where ninth, fifth (or median) and first deciles are upper-earnings decile limits, unless otherwise indicated, of gross earnings of full-time dependent employees. The dataset also includes series on:the incidence of low-paid workers defined as the share of full-time workers earning less than two-thirds of gross median earnings of all full-time workers;the incidence of high of high-paid workers defined as the share of full-time workers earning more than one-and-half time gross median earnings of all full-time workers;gender wage gap unadjusted and defined as the difference between median wages of men and women relative to the median wages of men.
    • Май 2016
      Источник: Economist Intelligence Unit
      Загружен: Knoema
      Дата обращения к источнику: 23 июня, 2016
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      1. The Democracy Index is based on five categories: electoral process and pluralism; civil liberties; the functioning of government; political participation; and political culture. Based on their scores on a range of indicators within these categories, each country is then itself categorized as one of four types of regime: “full democracies”; “flawed democracies”; “hybrid regimes”; and “authoritarian regimes”.2. Categorization of country based on overall score (on scale of 0 to 10)10≤Full Democracies≤88
    • Декабрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 марта, 2017
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      The objective of this dataset is to trace net changes in terms of volume in the growing stock of standing wood on forest land. It shows data underlying the indicator on the intensity of use of forest resources. This indicator relates actual fellings to annual productive capacity (i.e. gross increment). Forest depletion and growth describe balances or imbalances in different types of forests. The intensity of use of forest resources reflects various forest management methods and their sustainability. These data should be read in connection with other indicators of the OECD Core Set, in particular with indicators on land use changes and forest quality (species diversity, forest degradation), and be complemented with data on forest management practices and protection measures. In interpreting these data, it should be borne in mind that definitions and estimation methods vary among countries.
    • Декабрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2017
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      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business datawhere composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Click to collapse Item coverage Outstanding investment by direct insurance companies, classified by investment category, by the companies' nationality and by its destination (domestic or foreign). As of 2009, investment data exclude assets linked to unit-linked products sold to policyholders.
    • Март 2016
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Дата обращения к источнику: 24 августа, 2016
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      Financing Global Health 2015 is the seventh edition of IHME’s annual series on global health financing. This report captures trends in development assistance for health (DAH) and government health expenditure as source (GHE-S) in low- and middle-income countries. Annually updated GHE-S and DAH estimates are produced to aid decision-makers and other global health stakeholders in identifying funding gaps and investment opportunities vital to improving population health. This year, IHME made a number of improvements to the data collection and methods implemented to generate Financing Global Health estimates.
    • Январь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 07 марта, 2017
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      Notes: 1. Using subscription number of fixed broadband as the speed indicator is aiming at excluding the data collected on mobile (cellular) networks. 2. Using subscription number of sum of fixed and wireless broadband as the speed indicator is based on the data collected on unspecified netwroks. 3. These speed indicators are averages of all tests done in the quarter using the M-Lab sites (servers) located in corresponding regions of countries. The regions are specified as Australia, Europe including Turkey, Japan, New Zealand, and North and South America. Number of NDT tests listed on the right corresponds to the same tests done in each region. 4. These speed indicators are averages of all tests done in the quarter and calculated by daily data. Table included to this dataset. Table 2.42. Actual download speeds, Fixed or unspecified broadband, from Akamai, M-Lab and Ookla, 1Q2014
    • Сентябрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 06 апреля, 2017
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      Data is a snapshot of Sept,2014   Table used in this dataset are: 1. Table 2.38. Average advertised download and upload speeds, Fixed BB, by technology, Sep. 2014 2. Table 2.39. Advertised download speed, Fixed broadband, Sep. 2014 3. Table 2.41. Advertised download speed, Mobile broadband, Sep. 2014
    • Декабрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 марта, 2017
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      Table Used in this dataset is:   Table 2.16. Total fixed broadband subscriptions per 100 inhabitants in the OECD area
    • Декабрь 2013
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 16 марта, 2017
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      Notes: 1. Total communication access paths = (analogue lines + ISDN lines + DSL + cable modem + fibre + other broadband + mobile subscribers). 2. Fixed telephone access paths: analogue + ISDN lines.   Tables used in this dataset: 1. Table 2.6. Total communication access paths in the OECD area2. Table 2.7. Total communication access paths per 100 inhabitants in the OECD area3. Table 2.8. Fixed telephone access paths in the OECD area4. Table 2.9. Standard analogue telecommunication access lines in the OECD area .
    • Декабрь 2013
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 апреля, 2017
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      MiTT = minutes of international telecommunications traffic. For Germany the MiTT includes VoIP and local traffic.   Tables used in this dataset: 1. Table 2.32. Cellular mobile voice traffic2. Table 2.33. Cellular mobile traffic per mobile subscriber per year3. Table 2.34. International telecommunication traffic 4. Table 2.43. Data traffic volume
    • Июнь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 06 апреля, 2017
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      Note: 1. Japan, data are OECD estimates with the tiers lower than 100 Mbits unseparated that may also include auxiliary portion of the top tier. 2. Korea 10.0% is for below 50Mbits / 90.0% is above 50 Mbits Table used in this dataset:  Table 2.40. Subscription ratio by advertised download speed tiers, Fixed BB, June 2014  
    • Декабрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 10 марта, 2017
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      Notes: 1. Korea’s actual number of hosts may be underestimated as the ISC survey methodology relies on ARPA zone information which is not reported by Korean network Tables used in this dataset are: 1. Table 2.55. Internet hosts by domain, 1998-2014 2. Table 2.56. Web servers by domain, 2000-14 3. Table 2.50. Domain name registrations under top level domains, 2000-2014
    • Декабрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2017
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      Note: 1. The IPv6 user ratio record the percentage of users within each country who are capable of using IPv6. The value is derived from an experimental process that involves testing a randomly selected set of end users on a daily basis. The country codes reflect the location of the recipient of the address allocation and not necessarily that of the location of deployment of the addresses. 2. The data point is end of Ocotber for 2014. 3. Average of daily numbers collected throughout September and October 2014.   Tables that are included to this dataset. Table 2.44. Routed autonomous systems by country, 1997-2014Table 2.45. IPv6 cumulative allocations by RIRTable 2.46. IPv6 allocations by RIR, yearly basisTable 2.47. IPv4 and IPv6 enabled autonomous systems per country, 2014Table 2.48. IPv6 user penetration ratesTable 2.49. Percentage of Content (Web page) available over IPv6 Table 2.51. Cumulative total of IPv4 address allocations by country, 1997-2014Table 2.52. Routed IPv4 addresses by country, 1997-2014Table 2.53. Routed autonomous systems by country and type, 2014Table 2.54. Average routed IPv4 addresses per AS by country, 1997-2014
    • Декабрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 16 марта, 2017
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      Tables used in this dataset are:  Table 2.10. Cellular mobile subscriptions in the OECD areaTable 2.11. Cellular mobile penetration, subscriptions per 100 inhabitantsTable 2.12. Mobile pre-paid subscriptionsTable 2.13. 3G cellular mobile subscriptions in the OECD areaTable 2.14. IP telephone subscriptions in the OECD areaTable 2.15. Total fixed broadband subscriptions in the OECD areaTable 2.16. Total fixed broadband subscriptions per 100 inhabitants in the OECD areaTable 2.18. Total wireless broadband subscriptions in the OECD area
    • Декабрь 2013
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 марта, 2017
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      Tables that are included to this dataset are:    1. Table 4.7. Share of MVNOs subscriptions in total mobile cellular subscriptions, percent 2. Table 4.9. Market share of fixed network operators in the OECD, end-20133. Table 4.10. Market share of mobile network operators in the OECD, end-2013
    • Декабрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 09 марта, 2017
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      Table included to this dataset: Table 2.57. Secure servers by country, 1998-2014
    • Декабрь 2013
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2017
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      Notes: 1. Calculations include estimates 2. Data for Germany (2011), Japan (2011), Hungary (2011), Israel (2010 and 2011), Poland (2010 and 2011), Portugal (2011), United Kingdom (2010) and United States (2011) are estimates.Revenue calculations rely on estimates 3. The total OECD CAGR (2001-2011) calculation excludes Chile, Israel and Slovenia Table usedin this dataset are: 1. 2.26: Public telecommunication investment in the OECD area 2. Tables included to this dataset, Table 2.21. Telecommunication revenue in the OECD area Table 2.22. Telecommunication revenue as a percentage of GDPTable 2.23. Telecommunication revenue ratiosTable 2.24. Mobile telecommunication revenueTable 2.25. Cellular mobile telecommunication revenue per cellular mobile subscriptionsTable 2.26. Public telecommunication investment in the OECD areaTable 2.27. Telecommunication investment by regionTable 2.28. Public telecommunication investment as a percentage of telecommunications revenueTable 2.29. Investment in cellular mobile infrastructure in the OECD area Table 2.30. Public telecommunication investment per total communication access pathTable 2.31. Public telecommunication investment per capita
    • Декабрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 16 марта, 2017
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      Tables used in this dataset are:   Table 2.17. Total fixed broadband subscriptions by access technologyTable 2.19. Total wireless broadband subscriptions by access technology
    • Декабрь 2013
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2017
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      Luxembourg is included in Belgium prior to 1999. Trade data for China are estimates corrected for re-exports/re-imports from Hong Kong SAR of China. Tables included to this dataset. Table 2.35. Total staff in telecommunications services Table 2.36. Communication equipment exports, USD millionsTable 2.37. Communication equipment imports, USD millions a.
    • Май 2007
      Источник: International Telecommunication Union
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2015
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      The Digital Opportunity Index (DOI) is the only index that includes price data for 181 economies, which is vital in assessing effective market demand. The Digital Opportunity Index (DOI) has been designed to as a tool for tracking progress in bridging the digital divide and the implementa- tion of the outcomes of the World Summit on the Information Society (WSIS). As such, it provides a powerful policy tool for exploring the global and regional trends in infrastructure, opportu- nity and usage that are shaping the Information Society.
    • Июль 2016
      Источник: Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 27 декабря, 2016
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      Direct Investment Abroad: Financial Transactions without Current-Cost Adjustment, United States 2015
    • Июль 2016
      Источник: Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 27 декабря, 2016
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      Direct Investment Abroad: Reinvestment of Earnings Without Current Cost Adjustment, United States 2015
    • Июль 2016
      Источник: Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 26 декабря, 2016
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      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States 2015
    • Июль 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 октября, 2015
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      This table contains data on discouraged workers who are persons not in the labour force who believe that there is no work available due to various reasons and who desire to work. Data are broken down by sex and standardised age groups (15-24, 15-64, 25-54, 55-64, 65+, total).
    • Декабрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2016
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      It presents the different transactions and balances to get from the GDP to the net lending/net borrowing. Therefore, it includes, in particular, national disposable income (gross and net), consumption of fixed capital as well as net saving.
    • Сентябрь 2012
      Источник: Americans for Divorce Reform
      Загружен: Knoema
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      Divorce Indicators across countries
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 20 апреля, 2016
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      1. ccTLDs stands for country code Top Level Domains.2. gTLDs - stands for generic top-level domains.
    • Январь 2017
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 января, 2017
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • Январь 2017
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 января, 2017
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • Январь 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 марта, 2016
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    • Декабрь 2008
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Peter Speyer
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      IHME research, published in the Lancet in 2008. The study, Tracking progress towards universal childhood immunizations and the impact of global initiatives, provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination. The estimates take into account all publicly available data, including data from routine reporting systems and nationally representative surveys.
    • E
      • Июль 2013
        Источник: Earth Policy Institute
        Загружен: Knoema
        Дата обращения к источнику: 08 июля, 2013
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        Contains annual data series on water consumption, irrigated area, solar water and space heating area, countries overpumping aquifers and water deficits for the countries and regions through the time period from 1961 to 2013.
      • Октябрь 2016
        Источник: Fraser Institute
        Загружен: Knoema
        Дата обращения к источнику: 07 декабря, 2016
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        The economic freedom index measures the degree of economic freedom present in five major areas: [1] Size of Government; [2] Legal System and Security of Property Rights; [3] Sound Money; [4] Freedom to Trade Internationally; [5] Regulation. Within the five major areas, there are 24 components (area) in economic freedom index. Each component and sub-component is placed on a scale from 0 to 10.
      • Ноябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 февраля, 2017
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        The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 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, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual for the projection period. 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 statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Labour Force Statistics and the Main Economic Indicators. The cut-off date for information used in the compilation of the projections was the 16 November 2016. Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for the major non-OECD economies. Thus, besides OECD and the OECD euro area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.
      • Май 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 22 мая, 2014
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        The OECD Long Term Baseline analyzes the major economic trends beyond the OECD short-term projections. For all OECD economies, and the major non-OECD economies, it provides coverage of components of potential growth, fiscal balances and debt accumulation, domestic saving and investment balances, and external balances (through the current account). It also includes interest rates consistent with those projections. The database contains annual data to 2060. 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 statistical publications such as the Annual National Accounts, the International Monetary Fund, the United Nations, and Eurostat.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 января, 2017
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      • Декабрь 2012
        Источник: Liberia Institute of Statistics & Geo-Information Services
        Загружен: Knoema
        Дата обращения к источнику: 21 мая, 2013
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      • Январь 2016
        Источник: Ministry of Finance, Government of India
        Загружен: Knoema
        Дата обращения к источнику: 17 марта, 2016
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        Source: Department of Commerce based on DGCI&S data. The dataset provides the data on the direction of imports and exports by regions and Countries in rupee crores and U.S. dollar, million.
      • Сентябрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 23 ноября, 2015
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        Countries report expenditures by public institutions, government-dependent private institutions, and independent private institutions. These expenditure figures are intended to represent the total cost of services provided by each type of institution, without regard to sources of funds (whether they are public or private). Expenditure is classified into current and capital expenditure. Current expenditure is then broken down, into expenditure on compensation of personnel, and expenditure on other (non-personnel) resources.
      • Декабрь 2015
        Источник: United Nations Development Programme
        Загружен: Misha Gusev
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        Calculated using Mean Years of Schooling and Expected Years of Schooling.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 09 июня, 2016
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        The classification of personnel is based on functions and organises staff into four main functional categories: 1) Instructional Personnel; including two sub-groups: A. Classroom Teachers (ISCED 0-4) and Academic Staff (ISCED 5-6); and B. Teacher Aides (ISCED 0-4) and Teaching / Research Assistants (ISCED 5-6); 2) Professional Support for Students; including two sub-groups: A. Pedagogical Support (ISCED 0-4) and Academic Support (ISCED 5-6); B. Health and Social Support (ISCED 0-6); 3) Management/Quality Control/Administration; including four subgroups: A. School Level Management (ISCED 0-6); B. Higher Level Management (ISCED 0-6); C. School Level Administrative Personnel (ISCED 0-6); and D. Higher Level Administrative Personnel (ISCED 0-6); 4) Maintenance and Operations Personnel.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2017
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        The present data collection consists of the following indicators:Interest rates : Day-to-day money market interest rates, 3-month interest rates, Euro yields and Long term government bond yields - Maastricht definitionEuro/Ecu exchange rates: Exchange rates against the ECU/euroEffective exchange rates indices : Nominal Effective Exchange Rate, Real Effective Exchange Rate Â
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2014
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        The Pensions at a Glance indicators, covering all 34 OECD countries, are designed to show future entitlements for workers who entered the labour market in 2008 and spend their entire working lives under the same set of rules. The results presented here include all mandatory pension schemes for private-sector workers, regardless of whether they are public or private.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 февраля, 2017
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        Greenhouse Gas (GHG) emissions from burning of savanna consist of methane (CH4) and nitrous oxide (N2O) gases produced from the burning of vegetation biomass in the following five land cover types: Savanna, Woody Savanna, Open Shrublands, Closed Shrublands, and Grasslands. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (savanna, woody savanna, closed shrubland, open shrubland, grassland) and by aggregates (all categories, savanna and woody savanna, closed and open shrubland). Implied emission factors for N2O and CH4 as well activity data (burned area and biomass burned) are also provided.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        Manure ManagementGreenhouse gas (GHG) emissions from manure management consist of methane and nitrous oxide gases from aerobic and anaerobic manure decomposition processes. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factors, direct and indirect emissions (for both N2O and CO2eq) as well as N content in manure are also provided.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Greenhouse gas (GHG) emissions data from cropland are currently limited to emissions from cropland organic soils. They are those associated with carbon losses from drained histosols under cropland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol5.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Greenhouse gas (GHG) emissions data from grassland are currently limited to emissions from grassland organic soils. They are those associated with carbon losses from drained histosols under grassland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol6.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Land Use Total contains all GHG emissions and removals produced in the different Land Use sub-domains, representing the three IPCC Land Use categories: cropland, forest land, and grassland, collectively called emissions/removals from the Forestry and Other Land Use (FOLU) sector. FOLU emissions consist of CO2 (carbon dioxide), CH4 (methane) and N2O (nitrous oxide) associated with land management activities. CO2 emissions/removals are derived from estimated net carbon stock changes in above and below-ground biomass pools of forest land, including forest land converted to other land uses. CH4 and N2O, and additional CO2 emissions are estimated for fires and drainage of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided as by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CO2eq from CH4 and N2O, net emissions/removals as GG CO2 and Gg CO2eq, by underlying land use emission sub-domain and by aggregate (land use total).
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 22 сентября, 2016
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        This dataset provides selected information on emissions of traditional air pollutants: emission data are based upon the best available engineering estimates for a given period; they concern man-made emissions of sulphur oxides (SOx), nitrogen oxides (NOx), particulate matter, carbon monoxide (CO) and volatile organic compounds (VOC). The share of human activities as a source in total emissions of traditional air pollutants varies depending on the type of pollutant; most SOx emissions are man-made whereas CO and NOx emissions are mainly of natural origin.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 06 апреля, 2017
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        National accounts are a coherent 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. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 17 апреля, 2017
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        National accounts are a coherent 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. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 ноября, 2016
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        Employment, participation rates: population aged 15-64; Unemployment rate: active population aged 15-64.   Rates as defined by the International Labour Organization.
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 31 марта, 2016
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        The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source. Concepts Classifications Data are collected by the OECD using the methodologies established by the Coordinating Working Party on Fishery Statistics (CWP) (www.fao.org/fishery/cwp/search/en). This inter-agency body, created in 1960 to develop common procedures and standards for the collation of fisheries statistics, provides technical advice on fishery statistical matters. Its handbook of Fishery Statistical Standards comprises definitions of the various concepts used in fishery statistics, with the exception of Government Financial Transfers which is unique to the OECD. All other statistics are based on the CWP definitions. The OECD, a partner with the CWP, additionally collects information on values for its landings and records the breakdown between the types of landings (i.e. landings in domestic ports, landings in foreign ports) data series which are not collected by the FAO. While a number of countries cover landings in a similar fashion, the same does not hold true for capacity (feet/meters, GRT/engine powers), or for employment for which both Full-time equivalents or numbers of people are used. The OECD therefore does not duplicate FAO statistics but requests complementary information to feed its analytical work.
      • Ноябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 ноября, 2016
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      • Апрель 2012
        Источник: Ministry of Statistics and Programme Implementation, Government of India
        Загружен: Knoema
        Дата обращения к источнику: 25 декабря, 2013
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        Source: Ministry of Petroleum & Natural Gas. Note: Annual changes and shares of total are calculated using million tonnes per annum figures.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Сентябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 апреля, 2017
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        Enrollment rate per age is the percentage of students enrolled in each type of institution over the total of students.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 февраля, 2017
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        Greenhouse gas (GHG) emissions from enteric fermentation consist of methane gas produced in digestive systems of ruminants and to a lesser extent of non-ruminants. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), goats, horses, llamas, mules, sheep, swine (breeding and market)) and by species aggregates (all animals, camels and llamas, cattle, mules and asses, sheep and goats, swine). Implied emission factor for CH4 and activity data are also provided
      • Июнь 2014
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 29 ноября, 2015
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        Data given in this domain are collected on a yearly basis by the National Statistical Institutes or Ministries and are based on the annual Eurostat Model Questionnaires on ICT (Information and Communication Technologies) usage and e-commerce in enterprises. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. The aim of the European ICT usage surveys is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies in enterprises and e-commerce at European level. Coverage: The characteristics to be provided are drawn from the following list of subjects: - ICT systems and their usage in enterprises, - use of the Internet and other electronic networks by enterprises, - e-commerce, - e-business processes and organisational aspects, - use of ICT by enterprises to exchange information and services with governments and public administrations (e-government), - ICT competence in the enterprise and the need for ICT skills, - barriers to the use of ICT, the Internet and other electronic networks, e-commerce and e-business processes, - ICT expenditure and investment, - ICT security and trust, - use of ICT and its impact on the environment (Green ICT), - access to and use of the Internet and other network technologies for connecting objects and devices (Internet of Things), - access to and use of technologies providing the ability to connect to the Internet or other networks from anywhere at any time (ubiquitous connectivity). Breakdowns: - by size class, - by NACE categories, - by region (until 2010)
      • Январь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 октября, 2016
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      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 15 апреля, 2017
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        Data given in this domain are collected on a yearly basis by the National Statistical Institutes or Ministries and are based on the annual Eurostat Model Questionnaires on ICT (Information and Communication Technologies) usage and e-commerce in enterprises. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. The aim of the European ICT usage surveys is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies in enterprises and e-commerce at European level. Coverage: The characteristics to be provided are drawn from the following list of subjects: ICT systems and their usage in enterprises,use of the Internet and other electronic networks by enterprises,e-commerce,e-business processes and organisational aspects,use of ICT by enterprises to exchange information and services with governments and public administrations (e-government),ICT competence in the enterprise and the need for ICT skills,barriers to the use of ICT, the Internet and other electronic networks, e-commerce and e-business processes,ICT expenditure and investment,ICT security and trust,use of ICT and its impact on the environment (Green ICT),access to and use of the Internet and other network technologies for connecting objects and devices (Internet of Things),access to and use of technologies providing the ability to connect to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns:by size class,by NACE categories,by region (until 2010)
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 17 апреля, 2017
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        Data given in this domain are collected on a yearly basis by the National Statistical Institutes or Ministries and are based on the annual Eurostat Model Questionnaires on ICT (Information and Communication Technologies) usage and e-commerce in enterprises. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. The aim of the European ICT usage surveys is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies in enterprises and e-commerce at European level. Coverage: The characteristics to be provided are drawn from the following list of subjects: ICT systems and their usage in enterprises,use of the Internet and other electronic networks by enterprises,e-commerce,e-business processes and organisational aspects,use of ICT by enterprises to exchange information and services with governments and public administrations (e-government),ICT competence in the enterprise and the need for ICT skills,barriers to the use of ICT, the Internet and other electronic networks, e-commerce and e-business processes,ICT expenditure and investment,ICT security and trust,use of ICT and its impact on the environment (Green ICT),access to and use of the Internet and other network technologies for connecting objects and devices (Internet of Things),access to and use of technologies providing the ability to connect to the Internet or other networks from anywhere at any time (ubiquitous connectivity).Breakdowns:by size class,by NACE categories,by region (until 2010)
      • Июнь 2014
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 ноября, 2015
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        Data given in this domain are collected on a yearly basis by the National Statistical Institutes or Ministries and are based on the annual Eurostat Model Questionnaires on ICT (Information and Communication Technologies) usage and e-commerce in enterprises. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. The aim of the European ICT usage surveys is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies in enterprises and e-commerce at European level. Coverage: The characteristics to be provided are drawn from the following list of subjects: - ICT systems and their usage in enterprises, - use of the Internet and other electronic networks by enterprises, - e-commerce, - e-business processes and organisational aspects, - use of ICT by enterprises to exchange information and services with governments and public administrations (e-government), - ICT competence in the enterprise and the need for ICT skills, - barriers to the use of ICT, the Internet and other electronic networks, e-commerce and e-business processes, - ICT expenditure and investment, - ICT security and trust, - use of ICT and its impact on the environment (Green ICT), - access to and use of the Internet and other network technologies for connecting objects and devices (Internet of Things), - access to and use of technologies providing the ability to connect to the Internet or other networks from anywhere at any time (ubiquitous connectivity). Breakdowns: - by size class, - by NACE categories, - by region (until 2010)
      • Июнь 2014
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 ноября, 2015
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        Data given in this domain are collected on a yearly basis by the National Statistical Institutes or Ministries and are based on the annual Eurostat Model Questionnaires on ICT (Information and Communication Technologies) usage and e-commerce in enterprises. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. The aim of the European ICT usage surveys is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies in enterprises and e-commerce at European level. Coverage: The characteristics to be provided are drawn from the following list of subjects: - ICT systems and their usage in enterprises, - use of the Internet and other electronic networks by enterprises, - e-commerce, - e-business processes and organisational aspects, - use of ICT by enterprises to exchange information and services with governments and public administrations (e-government), - ICT competence in the enterprise and the need for ICT skills, - barriers to the use of ICT, the Internet and other electronic networks, e-commerce and e-business processes, - ICT expenditure and investment, - ICT security and trust, - use of ICT and its impact on the environment (Green ICT), - access to and use of the Internet and other network technologies for connecting objects and devices (Internet of Things), - access to and use of technologies providing the ability to connect to the Internet or other networks from anywhere at any time (ubiquitous connectivity). Breakdowns: - by size class, - by NACE categories, - by region (until 2010)
      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 мая, 2014
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        Eurostat Dataset Id:educ_bo_ac_gent The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening access educ_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age B. Study framework educ_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education C. Student and staff mobility educ_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country) D. Effective outcomes and employability educ_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A   The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities: Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Январь 2016
        Источник: Environmental Performance Index
        Загружен: Knoema
        Дата обращения к источнику: 09 марта, 2016
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      • Январь 2016
        Источник: Environmental Performance Index
        Загружен: Knoema
        Дата обращения к источнику: 08 марта, 2016
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        A “proximity-to-target methodology” is used to assess how close each country is to an identified policy target. Country scores are determined by how close or far countries are to targets. Scores are standardized (i.e., on a scale of 0 to 100) for comparability, weighting, and aggregation. The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
      • Сентябрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 октября, 2015
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        Agriculture can have significant impacts on the environment as it uses on average over 40% of water and land resources in OECD countries. The impacts occur on and off farm, including both pollution and degradation of soil, water and air, as well as the provision of ecological goods and services, such as biodiversity and providing a sink for greenhouse gases. Most OECD countries are tracking the environmental performance of agriculture, which is informing policy makers and society on the state and trends in agri-environmental conditions, and can provide a valuable aid to policy analysis (Chapter 4). As countries are increasingly using a wide range of policy measures to address agri-environmental issues, indicators provide crucial information to monitor and analyse the effects of those policies on the environment. They are also enriching the understanding and analysis of the environmental effects of possible future policy scenarios and agricultural projections. This report provides the latest and most comprehensive data across OECD countries on the environmental performance of agriculture since 1990. A set of agri-environmental indicators (Annex 1, Section II) has been developed through several specific theme-focused workshops involving OECD country analysts and scientific experts, complemented with thorough reviews of the literature. The OECD’s Driving Force-State-Response model (DSR) is the organising framework for developing the indicators.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 июня, 2016
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        Unit of measure used Environmental protection (EP) includes all purposeful activities directly aimed at the prevention, reduction and elimination of pollution or any other degradation of the environment resulting from production or consumption processes. The scope of Environmental Protection is defined according to the Classification of Environmental Protection Activities (CEPA), which distinguishes nine different environmental domains. Activities such as energy and material saving are only included to the extent that they mainly aim at environmental protection. An important example is recycling which is included only to the extent that it constitutes a substitute for waste management. Excluded are: (i) activities that, while beneficial to the environment, primarily satisfy technical needs or health and safety requirements for the protection of the workplace. (ii) expenditure linked to mobilisation of natural resources (e.g., water supply). (iii) calculated cost items such as depreciation (consumption of fixed capital) or the cost of capital as this questionnaire only records actual outlays. (iv) payments of interest, fines and penalties for non-compliance with environmental regulations or compensations to third parties etc., as they are not directly linked with an environmental protection activity. Environmental Protection Expenditure can be evaluated both according to the abater principle and the financing principle. This distinction makes it possible to aggregate different sectors and industries without double counting. Expenditure according to the abater principle (EXP I), includes all expenditure that the sector has for measures they themselves execute. Any economic benefits directly linked with the environmental protection activities (Receipts from by-products) are deducted in order to calculate the net amount of money spent by the sector for their own activities. The financing principle (EXP II) measures how much money a particular sector (directly) contributes to overall environmental protection activities, wherever they are executed. This means that the part of EXP I that was directly financed by others (through subsidies or revenues received) should be deducted, while the part of EXP I in other sectors that this sector finances directly (through subsidies or fees paid) should be added. The framework is based on double entry bookkeeping, where each activity and expenditure item has an abater (producer) and a financing side. This means that much expenditure by specialised producers is financed by the users of their services, mainly business sector and households. This will be recorded as Revenues for the Specialised producers (Table 4), and fees/purchases in Business and Households (Tables 2 and 3). Specialised producers include the production of environmental protection services by public and private corporations or quasi-corporations for the use of other units, mainly financed by the users of these services. These are mainly activities within ISIC Rev. 4/NACE Rev. 2 division and classes 37, 38.1, 38.2 and 39 such as: 37 Sewerage, 38.1 Waste collection, 38.2 Waste treatment and disposal, 39  Remediation activities and other waste management services. This sector is the sum of two components: a) Public specialised producers: All corporations and quasi-corporations that are subject to control by government units. Control is defined as the ability to determine general corporate policy by choosing appropriate directors, if necessary (Table 4A). b) Private specialised producers: All corporations and quasi-corporations that are not subject to control by government units (Table 4B). Specialised producers could also include for example the activities of e.g. volunteer environmental organisations or secondary environmental activities. These should be entered along with a footnote describing the coverage. CEPA domains: a column "pollution abatement and control" (PAC) has been kept in the questionnaire to ensure continuity with earlier data series.
      • Август 2011
        Источник: Multiple Sources
        Загружен: Knoema
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        A compilation of monthly closing stock indices for major stock exchanges across the World. This dataset is updated on a monthly basis.
      • Сентябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 04 октября, 2016
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      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 04 декабря, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Май 2012
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 28 ноября, 2015
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        The Scoreboard has been prepared from companies' annual reports and accounts received by an independent data provider.
      • Сентябрь 2015
        Источник: Multiple Sources
        Загружен: Knoema
        Дата обращения к источнику: 10 сентября, 2015
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      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trade marks constitute means by which creators seek protection for their industrial property. Trade marks reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trade mark data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of Trade marks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. This domain provides users with data concerning European Union Trade marks. European Union Trade marks refer to trade mark protections throughout the European Union, which covers 28 countries. The European Union Intellectual Property Office (EUIPO) is the official office of the European Union for the registration of European Union Trade marks and Designs. A European Union Trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with EUIPO in Alicante in accordance with the conditions specified in the EUTM Regulations (Source: EUIPO).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 03 декабря, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trade marks constitute means by which creators seek protection for their industrial property. Trade marks reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trade mark data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of Trade marks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. This domain provides users with data concerning European Union Trade marks. European Union Trade marks refer to trade mark protections throughout the European Union, which covers 28 countries. The European Union Intellectual Property Office (EUIPO) is the official office of the European Union for the registration of European Union Trade marks and Designs. A European Union Trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with EUIPO in Alicante in accordance with the conditions specified in the EUTM Regulations (Source: EUIPO).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 03 декабря, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trade marks constitute means by which creators seek protection for their industrial property. Trade marks reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trade mark data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of Trade marks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. This domain provides users with data concerning European Union Trade marks. European Union Trade marks refer to trade mark protections throughout the European Union, which covers 28 countries. The European Union Intellectual Property Office (EUIPO) is the official office of the European Union for the registration of European Union Trade marks and Designs. A European Union Trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with EUIPO in Alicante in accordance with the conditions specified in the EUTM Regulations (Source: EUIPO).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trade marks constitute means by which creators seek protection for their industrial property. Trade marks reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trade mark data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of Trade marks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. This domain provides users with data concerning European Union Trade marks. European Union Trade marks refer to trade mark protections throughout the European Union, which covers 28 countries. The European Union Intellectual Property Office (EUIPO) is the official office of the European Union for the registration of European Union Trade marks and Designs. A European Union Trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with EUIPO in Alicante in accordance with the conditions specified in the EUTM Regulations (Source: EUIPO).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trade marks constitute means by which creators seek protection for their industrial property. Trade marks reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trade mark data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of Trade marks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. This domain provides users with data concerning European Union Trade marks. European Union Trade marks refer to trade mark protections throughout the European Union, which covers 28 countries. The European Union Intellectual Property Office (EUIPO) is the official office of the European Union for the registration of European Union Trade marks and Designs. A European Union Trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with EUIPO in Alicante in accordance with the conditions specified in the EUTM Regulations (Source: EUIPO).
      • Апрель 2017
        Источник: XE
        Загружен: Knoema
        Дата обращения к источнику: 28 апреля, 2017
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        This dataset contains the exchange rate of 1USD to their country local currency.
      • Октябрь 2015
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 22 октября, 2015
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        Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
      • Март 2015
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 29 апреля, 2016
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        This table shows exchange rates for currencies used in over 190 world economies presented in a crossrates layout where countries are presented in both rows and columns. National currency per US dollars exchange rates are used to derive explicit exchange rates for each of the countries presented with regard to any other country. Country series are consistent over time: for example, a conversion was made from national currency to Euro for the Euro Zone economies for all years prior to the adoption of Euro.
      • Октябрь 2016
        Источник: InterNations
        Загружен: Knoema
        Дата обращения к источнику: 11 ноября, 2016
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      • Сентябрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 октября, 2014
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        Countries report expenditures by sources of funds: Governement (central, regional, local); International agencies and other foreign sources; Households and Other private entities (including firms and religious institutions and other non-profit organisations). Three types of financial transactions can be distinguished: -direct expenditure/payments on educational institutions -Intergovernmental transfers for education -Transfers to students or households and to other private entities.
      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 06 июля, 2014
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        Eurostat Dataset Id:educ_bo_fi_ftot The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening accesseduc_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age   B. Study frameworkeduc_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education   C. Student and staff mobilityeduc_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country)   D. Effective outcomes and employabilityeduc_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A     The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities:Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 24 мая, 2015
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        Eurostat Dataset Id:hlth_sha3p Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha3m Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.3.2. Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.3.3. Coverage - sectorPublic Health
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha3h Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.3.2. Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.3.3. Coverage - sectorPublic Health
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha2p Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha2m Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha2h Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha1p Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 мая, 2015
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        Eurostat Dataset Id:hlth_sha1m Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.3.2. Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.3.3. Coverage - sectorPublic Health
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha1h Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.3.2. Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.3.3. Coverage - sectorPublic Health
      • Июль 2012
        Источник: Knoema
        Загружен: Knoema
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        Source : United States Department of Agriculture; International Monetary Fund; UN Department of Economic and Social Affairs; Food and Agriculture Organization, The World Bank
      • Август 2016
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 01 сентября, 2016
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        Percent of household final consumption expenditures spent on food, alcoholic beverages, and tobacco that were consumed at home,. The data are computed by Birgit Meade (202-694-5159), ERS/USDA, EUROMONITOR data, June 2015.
      • Сентябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 06 октября, 2016
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        This table presents trade in services by service category for individual countries, expressed in millions of dollars and as percentages of a country's total trade in services. The commercial services, which exclude government services and follow the GATS definition, are included as well.
      • Июль 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 июля, 2014
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        This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
      • Февраль 2016
        Источник: Coffee Board of India
        Загружен: Knoema
        Дата обращения к источнику: 22 июня, 2016
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      • Март 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 01 апреля, 2017
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        International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.
    • F
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 июня, 2016
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        OECD Factbook provides a global overview of today's major economic, social and environmental indicators which cover a wide range of areas: agriculture, economic production, education, energy, environment, foreign aid, health, industry, information and communications, international trade, labor force, population, taxation, public expenditure and R&D. More countries than ever are covered in greater detail, enabling direct comparisons for many indicators between OECD Members and Brazil, China, India, Indonesia, Russian Federation and South Africa.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
      • Июль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 03 августа, 2016
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        AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the programme is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 12 января, 2017
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        Consumer price indices (CPIs) measure changes over time in the general level of prices of consumer goods and services that households acquire, use or pay for consumption. This is done by measuring the cost of purchasing a fixed basket of consumer goods and services of constant quality and similar characteristics, with the products in the basket being selected to be representative of households’ expenditure during a year or other specified period.   Note: For some countries quarterly data is mentioned as monthly data because of quarter (Time period of quarter) differs across countries. Please go to the link: "http://fenixservices.fao.org/faostat/static/documents/CP/CPI_e.pdf" for detail about countries' National index reference period, definition, data details.    
      • Июнь 2012
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2012
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        This dataset represents Food Consumption, Food Production and Trade by various Food items. Note: data represent values for time periods (1990-1992, 1995-97, 2000-02, 2005-07) and is shown as data for the last year of time period (1992, 1997, 2002, 2007).
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 12 января, 2017
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        Note: Data represent values for time periods (1990-1992,1995-97,2000-02,2005-07) and is shown as data for the last year of time period(1992,1997,2002,2007).
      • Август 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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        The Price domain of FAOSTAT contains annual data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 130 countries and for some 200 commodities, representing over 97 percent of the world’s value of gross agricultural production (at 1999-2001 International Dollar Prices). PriceSTAT contains data from 1991 onwards. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
      • Октябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 03 января, 2017
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        Producer Price Indices - AnnualIndices of agricultural producer prices measure the average annual change over time in the selling prices received by farmers (prices at the farm-gate or at the first point of sale). Annual data are provided for over 80 countries. The three categories of producer price indices available in FAOSTAT comprise: Single-item price indices, Commodity group indices and the Agriculture producer price index.
      • Ноябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 27 декабря, 2016
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        Farmers produce food and fiber using a wide variety of farm practices and management systems that differ by commodity, region, and farm and operator characteristics. The mix of inputs, practices, and technologies used by farmers, when combined with land, labor, and water resources, affects production costs; farm income; and soil, water and air quality.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 26 февраля, 2016
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        Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of production measures production in monetary terms at the farm gate level. Since intermediate uses within the agricultural sector (seed and feed) have not been subtracted from production data, this value of production aggregate refers to the notion of "gross production". Value of gross production is provided in both current and constant terms and is expressed in US dollars and Standard Local Currency (SLC). The current value of production measures value in the prices relating to the period being measured. Thus, it represents the market value of food and agricultural products at the time they were produced. Knowing this figure is helpful in understanding exactly what was happening within a given economy at that point in time. Often, this information can help explain economic trends that emerged in later periods and why they took place. Value of production in constant terms is derived using the average prices of a selected year or years, known as the base period. Constant price series can be used to show how the quantity or volume of products has changed, and are often referred to as volume measures. The ratio of the current and constant price series gives a measure of price movements. US dollar figures for value of gross production are converted from local currencies using official exchange rates as prevailing in the respective years. The SLC of a country is the local currency prevailing in the latest year. Expressing data series in one uniform currency is useful because it avoids the influence of revaluation in local currency, if any, on value of production
      • Октябрь 2011
        Источник: Food and Agricultural Policy Research Institute
        Загружен: Knoema
        Дата обращения к источнику: 25 декабря, 2012
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        FAPRI U.S. and World Outlook presents multi-year projections for the United States and world agricultural sectors. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. These reports have been produced annually and used by congressional and agricultural leaders since 1985.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 мая, 2016
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      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2017
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        FDI data are based on statistics provided by 35 OECD member countries.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 мая, 2016
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      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 мая, 2016
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      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 мая, 2016
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      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 мая, 2016
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      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 мая, 2016
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      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 мая, 2016
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      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 мая, 2016
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      • Июнь 2010
        Источник: International Federation of Association Football
        Загружен: Knoema
        Дата обращения к источнику: 20 июня, 2014
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        FIFA is the international governing body of association football, futsal and beach soccer. Its membership comprises 209 national associations. Its headquarters are in Zurich, Switzerland, and its president is Sepp Blatter. FIFA is responsible for the organisation of football's major international tournaments, notably the World Cup.
      • Апрель 2017
        Источник: International Federation of Association Football
        Загружен: Knoema
        Дата обращения к источнику: 08 апреля, 2017
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        Monthly updates of FIFA World Football Men's Ranking 
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 ноября, 2016
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        It presents the final consumption expenditure of households broken down by the COICOP (Classification of Individual Consumption According to Purpose) classification and by durability.  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
      • Октябрь 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 07 октября, 2016
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        The FAS is the sole source of global supply-side data on financial inclusion, encompassing internationally-comparable basic indicators of financial access and usage. From 2014, FAS also includes indicators for mobile money. In addition to providing policy makers and researchers with annual geographic and demographic data on access to basic consumer financial services worldwide, the FAS is the data source for the G-20 Basic Set of Financial Inclusion Indicators endorsed by the G-20 at the Los Cabos Summit in 2012.  The FAS database currently contains 152 time series and 47 key indicators which are grouped into two dimensions: (i) geographic outreach of financial services; and (ii) use of financial services. The database includes annual data from 2004 and metadata for the reporting jurisdictions.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 ноября, 2016
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        National Accounts - Volume IIIa - Financial Accounts - Flows, which record, by type of financial instruments, the financial transactions between institutional sectors, and are presented in two tables: Financial accounts, consolidated and Financial accounts, non-consolidated.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 ноября, 2016
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        National Accounts - Volume IIIb - Financial Balance Sheets - Stocks, which record the stocks of financial assets and liabilities by institutional sectors, at the end of the accounting period, and are presented in two tables: Balance sheets for financial assets and liabilities, consolidated and Balance sheets for financial assets and liabilities, non consolidated.Statistics are reported at current prices in millions of national currency and in millions of Euros for OECD countries which are members of the Euro zone: Austria, Belgium, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Portugal, Slovak Republic, Slovenia and Spain.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 ноября, 2016
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        The financial indicators in this dataset are constructed from OECD countries’ financial balance sheets (stocks): these ratios are considered as relevant to analyse the position and performance of the various institutional sectors. They comprise for instance: Financial net worth of Households and NPISHs, as a percentage of GDI; Non-financial corporations debt to equity ratio; Private sector debt; Leverage of the banking sector; General government debt, as a percentage of GDP.
      • Март 2017
        Источник: Statistics Finland
        Загружен: Knoema
        Дата обращения к источнику: 10 апреля, 2017
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        The statistics present information about total consumption of energy, electricity production and total consumption and imports and exports of energy.
      • Октябрь 2016
        Источник: Statistics Finland
        Загружен: Knoema
        Дата обращения к источнику: 04 ноября, 2016
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        Direct investments to Finland describe the capital that a foreign investor has invested directly in a unit located in Finland under the investors' control or influence.
      • Июль 2016
        Источник: National Institute for Health and Welfare
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2016
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        In 2008, National Institute for Health and Welfare brought into use a new national system of accounting health expenditure and financing that is based on the OECD System of Health Accounts (SHA). The SHA system gathers data by function, provider and source of finance.
      • Май 2016
        Источник: Statistics Finland
        Загружен: Knoema
        Дата обращения к источнику: 05 июля, 2016
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        Statistics on international trade in services describe Finnish enterprises’ international sales and imports of services by service type and target country.
      • Апрель 2016
        Источник: Statistics Finland
        Загружен: Knoema
        Дата обращения к источнику: 13 июля, 2016
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        These statistics on the structure of the population describe Finnish and foreign citizens permanently resident in Finland at the turn of the year.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 апреля, 2017
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        The OECD FSE database is intended to be the best source of information on fisheries policies in OECD members and participating non-OECD economies. It is designed to monitor and quantify developments in fisheries policy, to establish a common basis for policy dialogue among countries, and to provide economic data to assess the effectiveness and efficiency of policies. The FSE data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies.Data on landings, aquaculture production, fleet, employment in the fisheries sector, and fishery support estimate are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The survey used for this exercise is the OECD Fisheries data questionnaire.   The annual time unit normally used in fishery statistics is the calendar or civil year, i.e., the period between 1 January and 31 December.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 июня, 2016
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        Fisheries fleet: The FAO has a two dimensional definition, of which the OECD only uses the concept of fishing vessel. Fishery Fleet: The term "fishery fleet" or "fishery vessels" refers to mobile floating objects of any kind and size, operating in freshwater, brackishwater and marine waters which are used for catching, harvesting, searching, transporting, landing, preserving and/or processing fish, shellfish and other aquatic organisms, residues and plants.Fishing vessel: The term "fishing vessel" is used instead when the vessel is engaged only in catching operations. Gross Register Tonnage: The Gross Register Tonnage represents the total measured cubic content of the permanently enclosed spaces of a vessel, with some allowances or deductions for exempt spaces such as living quarters (1 gross register ton = 100 cubic feet = 2.83 cubic metres).
      • Июль 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 19 июля, 2016
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        t presents the whole set of non financial accounts, from the production account to the acquisitions of non-financial assets accounts. For general government sector, property income, other current transfers and capital transfers are consolidated.. It has been prepared from statistics reported to the OECD by Member countries in their answers to the new version of the annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 20 февраля, 2017
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        Commodity balances show balances of food and agricultural commodities in a standardized form. The scope of standardization is to present these data in a less detailed form for a selected number of commodities without causing any significant loss of the basic variables monitoring the agricultural sector. The selected commodities include the equivalents of their derived products falling in the same commodity group, but exclude the equivalents of by-products and derived commodities, which through processing, change their nature and become part of different commodity groups. A number of commodity/item aggregates have been included to offer synthetic information. Some of these are included with the aim of simplifying the extraction of all component commodities. Data shown in the item aggregates represent the sum of the component commodities as presented in this domain (standardized form). Commodity coverage: The commodity list in this domain has been generally confined to primary commodities - except for sugar, oils and fats and beverages. Whenever possible trade in processed commodities is expressed in the originating primary commodity equivalent. Rice is expressed in milled equivalent.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 17 февраля, 2017
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        Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
      • Сентябрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 октября, 2014
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        The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 30 декабря, 2016
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      • Январь 2016
        Источник: Statistics Centre of Abu Dhabi
        Загружен: Knoema
        Дата обращения к источнику: 11 мая, 2016
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      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 мая, 2014
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        Eurostat Dataset Id:educ_bo_mo_el8i The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening access educ_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age B. Study framework educ_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education C. Student and staff mobility educ_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country) D. Effective outcomes and employability educ_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A   The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities: Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Июнь 2014
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 11 декабря, 2015
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        Eurostat Dataset Id:educ_enrl8 The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes by pupils and students, personnel in education and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the UOE data collection:the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered:Context - School-aged population, overall participation rates in educationDistribution of pupils/students by levelParticipation/enrolment in education (ISCED 0-4)Tertiary education participationTertiary education graduatesTeaching staff (ISCED 1-3)Pupil/students-teacher ratio and average class size (ISCED 1-3)Language learning (ISCED 1-3)Regional enrolmentsExpenditure on education in current pricesExpenditure on education in constant pricesExpenditure on education as % of GDP or public expenditureExpenditure on public and private educational institutionsFinancial aid to studentsFunding of education Other tables, used to measure progress towards the Lisbon objectives in education and training, are gathered in the Thematic indicators tables. They contain the following indicators: - Teachers and trainers - Mathematics, science and technology enrolments and graduates - Investments in education and training - Participation rates in education by age and sex - Foreign language learning - Student mobility
      • Апрель 2017
        Источник: U.S. Census Bureau
        Загружен: Knoema
        Дата обращения к источнику: 08 апреля, 2017
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      • Июнь 2016
        Источник: Saudi Arabian Monetary Agency
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2016
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      • Июль 2015
        Источник: United Nations Economic Commission for Europe
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2015
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      • Июнь 2015
        Источник: United Nations Economic Commission for Europe
        Загружен: Knoema
        Дата обращения к источнику: 26 мая, 2016
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      • Март 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 04 января, 2017
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        The database contains data on the production and trade in round wood and primary wood and paper products for all countries and territories in the world. The main types of primary forest products included in are: round wood, sawn wood, wood-based panels, pulp, and paper and paperboard. These products are detailed further. The definitions are available. The database contains details of the following topics: - Round wood removals (production) by type of wood and assortment - Production and trade in round wood, wood fuel and other basic products - Industrial round wood by assortment and species - Sawn wood, panels and other primary products - Pulp and paper & paperboard. More detailed information on wood products, including definitions, can be found at http://www.fao.org/forestry/statistics/80572/en/
      • Июль 2016
        Источник: Carbon Dioxide Information Analysis Center
        Загружен: Knoema
        Дата обращения к источнику: 10 августа, 2016
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        World and National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Source: Tom Boden, Gregg Marland and Bob Andres (Oak Ridge National Laboratory)
      • Июнь 2016
        Источник: Fund for Peace
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        The FSI focuses on the indicators of risk and is based on thousands of articles and reports that are processed by our CAST Software from electronically available sources. Measures of fragility, like Demographic Pressures,Refugees and IDPs and etc., have been scaled on 0 to 10 where 10 is highest fragility and 0 no fragility.
      • Январь 2017
        Источник: Freedom House
        Загружен: Knoema
        Дата обращения к источнику: 03 января, 2017
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        Freedom in the World is Freedom House’s flagship annual report, assessing the condition of political rights and civil liberties around the world. It is composed of numerical ratings and supporting descriptive texts for 195 countries and 15 territories. Freedom in the World has been published since 1973, allowing Freedom House to track global trends in freedom over more than 40 years. It has become the most widely read and cited report of its kind, used on a regular basis by policymakers, journalists, academics, activists, and many others.
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 22 сентября, 2016
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        This dataset shows the state and changes over time in the abstractions of freshwater resources in OECD countries. Water abstractions are a major pressure on freshwater resources, particularly from public water supplies, irrigation, industrial processes and cooling of electric power plants. It has significant implications for issues of quantity and quality of water resources. This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total withdrawal. When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by Member countries may vary considerably among countries.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 ноября, 2016
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        This table contains data on full-time and part-time employment based on a common definition of 30-usual weekly hours of work in the main job. Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total). Unit of measure used - Data are expressed in thousands of persons.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 ноября, 2016
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        This table contains data on full-time and part-time employment based on national definition. Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total). Unit of measure used - Data are expressed in thousands of persons
      • Ноябрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 22 февраля, 2016
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        Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at:http://www.oecd.org/dataoecd/0/49/38356329.pdf. Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at: http://www.oecd.org/dataoecd/0/49/38356329.pdf. Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
    • G
      • Март 2017
        Источник: Global Database of Events, Language, and Tone
        Загружен: Knoema
        Дата обращения к источнику: 10 марта, 2017
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        The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes.Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA).Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2017
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        National accounts are a coherent 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. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 24 апреля, 2017
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        National accounts are a coherent 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. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset includes gender inequality and development indices.
      • Декабрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 20 декабря, 2016
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        The Gender Statistics database is a comprehensive source for the latest sex-dis aggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency. A compilation of data on key gender topics from national statistics agencies, United Nations databases, and World Bank-conducted or funded surveys. A work-in-progress because the database is continuously updated as new information becomes available.
      • Февраль 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 февраля, 2015
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        The GID-DB is a database providing researchers and policymakers with key data on gender-based discrimination in social institutions. This data helps analyse women’s economic empowerment and understand gender gaps in other key areas of development. Covering 160 countries, the GID-DB contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 июля, 2016
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        It provides a faithful image, to the greatest extent possible, of the aggregates and balances of the general government sector in the SNA 1993 conceptual framework. In addition, it brings to light two relevant aggregates that do not belong to this conceptual frame work: the Total Revenue and the Total Expenditure of the general government sector.Unit of measure used - National currency; current prices. Expressed in millions.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 февраля, 2017
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        This part contains general information on number of insurance companies and employees within the sector.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 22 декабря, 2016
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        This table contains deflators for resource flows for individual DAC Members from 1966 as well as the TOTAL DAC deflator, and the deflator for the EURO (EC).The deflators include the effect of exchange rate changes and are therefore only applicable to US dollar figures.The OECD uses the latest deflator to convert current prices to constant prices. The latest available base year used is the base year equal to 100.The OECD applies the total DAC deflator to individual recipient countries and multilateral donors to calculate their receipts or flows in constant prices.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 08 июля, 2016
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        Bilateral ODA commitments by purpose. Data cover the years 2005 to 2009. Amounts are expressed in USD million. The sectoral distribution of bilateral ODA commitments refers to the economic sector of destination (i.e. the specific area of the recipient's economic or social structure whose development is, or is intended to be fostered by the aid), rather than to the type of goods or services provided. These are aggregates of individual projects notified under the Creditor Reporting System, supplemented by reporting on the sectoral distribution of technical co-operation, and on actual disbursements of food and emergency aid.
      • Ноябрь 2016
        Источник: Emission Database for Global Atmospheric Research
        Загружен: Knoema
        Дата обращения к источнику: 24 марта, 2017
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        Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.
      • Октябрь 2016
        Источник: Knight Frank
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2017
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        Note: Countries are ranked according to 12-month price growth. The Knight Frank Global House Price Index established in 2006 allows investors and developers to monitor and compare the performance of mainstream residential markets across the world. The index is compiled on a quarterly basis using official government statistics or central bank data where available. The index’s overall performance is weighted by GDP and the latest quarter’s data is provisional pending the release of all the countries’ results.
      • Октябрь 2015
        Источник: HelpAge International
        Загружен: Knoema
        Дата обращения к источнику: 16 октября, 2015
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        The aim of the Index is both to capture the multidimensional nature of the quality of life and wellbeing of older people, and to provide a means by which to measure performance and promote improvements. We have chosen 13 different indicators for the four key domains of Income security, Health status, Capability, and Enabling environment. Domain 1: Income security The income security domain assesses people's access to a sufficient amount of income, and the capacity to use it independently, in order to meet basic needs in older age. Domain 2: Health status The three indicators used for the health domain provide information about physical and psychological wellbeing. Domain 3: Capability The employment and education indicators in this domain look at different aspects of the empowerment of older people. Domain 4: Enabling environment This domain uses data from Gallup World View to assess older people's perception of social connectedness, safety, civic freedom and access to public transport - issues older people have singled out as particularly important.
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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        This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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        Contains the volume of fish catches landed by country or territory of capture, by species or a higher taxonomic level, by FAO major fishing areas, and year for all commercial, industrial, recreational and subsistence purpose
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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        This database contains statistics on the annual production of fishery commodities and imports and exports of fishery commodities by country and commodities in terms of volume and value from 1976.
      • Ноябрь 2016
        Источник: DHL
        Загружен: Knoema
        Дата обращения к источнику: 07 декабря, 2016
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        DHL released the third edition of its Global Connectedness Index (GCI), a detailed analysis of the state of globalization around the world. The latest report, authored by internationally acclaimed globalization expert Professor Pankaj Ghemawat together with Steven A. Altman, shows that global connectedness, measured by cross-border flows of trade, capital, information and people, has recovered most of its losses incurred during the financial crisis. Especially the depth of international interactions – the proportion of interactions that cross national borders – gained momentum in 2013 after its recovery had stalled in the previous year. Nonetheless, trade depth, as a distinct dimension of globalization, continues to stagnate and the overall level of global connectedness remains quite limited, implying that there could be gains of trillions of US dollars if boosted in future years.
      • Февраль 2015
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 15 июля, 2015
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        The aim of this data set is to provide a snapshot of where countries stand in their cybersecurity engagement at the national level. The visions as seen by ABI Research and ITU is to promote cybersecurity awareness and the important role governments have to play in integrating appropriate mechanisms to both support and promote this crucial discipline. Safeguarding the integrity of cyberspace must involve the development of cybersecurity.
      • Декабрь 2015
        Источник: Global Democracy Ranking
        Загружен: Knoema
        Дата обращения к источнику: 06 января, 2016
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        The Democracy Ranking is an annual ranking of all democracies (country-based democracies) in the world by focusing on the Quality of Democracy in an international perspective. The Democracy Ranking publishes the ranking scores and displays ranking score increases or decreases over time. The Democracy Ranking is a ranking of the Quality of Democracy in the sense that the ranking scores should reflect a ranking of democracies according to their differing qualities; and the Democracy Ranking is a ranking for the Quality of Democracy, because it wants to contribute conceptually to how democracy quality may be measured as well as wants to support the awareness how important democracy quality is for the further development, reform and enhancement of democracies.
      • Август 2015
        Источник: Grant Thornton
        Загружен: Knoema
        Дата обращения к источнику: 16 октября, 2015
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        The Grant Thornton Global Dynamism Index (GDI) ranks 60 leading economies on their dynamism in five key areas – business operating environment, economics & growth, science & technology, labour & human capital and financing environment. The GDI analyses 22 indicators across these five categories to assess the dynamism of business growth environments around the world, where dynamism refers to the changes in an economy over the past 12 months which are likely to lead to a faster future rate of growth.
      • Декабрь 2016
        Источник: Emission Database for Global Atmospheric Research
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        Emissions are calculated for the following substances: 1) Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2); 2) Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). 3) Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2). 4) Primary particulates: Fine Particulate Matter (PM10) - Carbonaceous speciation (BC , OC) is under progress. 5) Stratospheric Ozone Depleting Substances: Chlorofluorocarbons (CFC-11, 12, 113, 114, 115), Halons (1211, 1301, 2402), Hydrochlorofluorocarbons (HCFC-22, 124, 141b, 142b), Carbon Tetrachloride (CCl4), Methyl Bromide (CH3Br) and Methyl Chloroform (CH3CCl2). Emissions (EM) for a country C are calculated for each compound x on an annual basis (y) and sector wise (for i sectors, multiplying on the one hand the country-specific activity data (AD), quantifying the human activity for each of the i sectors, with the mix of j technologies (TECH) for each sector i, and with their abatement percentage by one of the k end-of-pipe (EOP) measures for each technology j, and on the other hand the country-specific emission factor (EF) for each sector i and technology j with relative reduction (RED) of the uncontrolled emission by installed abatement measure k. Emissions in are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics.
      • Март 2017
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2017
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        The Energy Architecture Performance Index (EAPI) uses a set of indicators to highlight the performance of various countries across each facet of their energy architecture, determining to what extent nations have been able to create affordable, sustainable and secure energy systems   1)Economic growth and development: The extent to which energy architecture supports, rather than detracts from, economic growth and development2) Environmental sustainability: The extent to which energy architecture has been constructed to minimize negative environmental externalities3) Energy access and security: The extent to which energy architecture is at risk of an energy security impact, and whether adequate access to energy is provided to all parts of the population   Note: For detail methodology please visit:"http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2017.pdf"
      • Июнь 2016
        Источник: Enerdata
        Загружен: Knoema
        Дата обращения к источнику: 02 августа, 2016
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        Enerdata is an independent Research & Consulting firm on the global oil, gas, coal, power, renewable and carbon markets established in 1991. Total energy consumption - for each energy product it is the sum of primary production, external trade, marine bunkers (fuel used by boats and aircraft for international transport) and stock variations. For the world, marine bunkers are included. This induces a gap with the sum of regions. Total primary production evaluates the quantity of natural energy resources. Total balance of trade is the difference between exports and imports. The balance of a net exporter appears as a negative value (-). The balance of geographic and geopolitical zones is simply the sum of the trade balance of all the countries. The energy intensity is calculated by dividing the total energy consumption of a country by its Gross Domestic Product (GDP). It measures the total amount of energy necessary to generate one unit of GDP. GDP is expressed at constant exchange rate and purchasing power parity to remove the impact of inflation and reflect differences in general price levels and relate energy consumption to the real level of economic activity. Using purchasing power parity rates for GDP instead of exchange rates increases the value of GDP in regions with a low cost of living, and therefore decreases their energy intensities. Total energy includes coal, gas, oil, electricity, heat and biomass.
      • Март 2016
        Источник: Global Entrepreneurship Monitor
        Загружен: Knoema
        Дата обращения к источнику: 23 марта, 2016
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        The GEM Adult Population Survey (APS) measures the level and nature of entrepreneurial activity around the world. It is administered to a representative national sample of at least 2000 respondents.The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.  
      • Июнь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 18 января, 2017
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        The Global Financial Development Database is an extensive dataset of financial system characteristics for countries and group-wise economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability). For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihák, Asli Demirgüç-Kunt, Erik Feyen, and Ross Levine, 2012. Benchmarking Financial Systems Around the World.World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C. Concepts: The Kruskal-Wallis H test (sometimes also called the "one-way ANOVA on ranks") is a rank-based nonparametric test that can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable. The Z score method examines liquidity, profitability, reinvested earnings and leverage which are integrated into a single composite score. It can be used with past, current or projected data as it requires no external inputs such as GDP or Market Price. Z-Score Ratings cutoff scores used in classifications: AAA 8.15, AA 7.30, A 6.65 , BBB 5.85, BB 4.95, B 4.15, CCC 3.20, D 3.19
      • Апрель 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 18 июня, 2015
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        The Global Financial Inclusion Database provides 800 country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics-gender, age, education, income, and rural residence. Covering more than 140 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk. The reference citation for the data is: Demirguc-Kunt, Asli, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden. 2015. “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, DC. Note: 1: Variable [w1] refers to 2011 variables 2: Variable [w2] refers to 2014 variables 3: Variable [ts] refers to Time Series variables (2011, 2014)
      • Октябрь 2014
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 12 февраля, 2016
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        Global Financial Stability Report (GFSR) finds that six years after the start of the crisis, the global economic recovery continues to rely heavily on accommodative monetary policies in advanced economies. Monetary accommodation remains critical in supporting the economy by encouraging economic risk taking in the form of increased real spending by households and greater willingness to invest and hire by businesses. However, prolonged monetary ease may also encourage excessive financial risk taking.
      • Апрель 2016
        Источник: GFP
        Загружен: Knoema
        Дата обращения к источнику: 20 мая, 2016
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        Global Firepower (GFP) provides a unique analytical display of data concerning today's world military powers. Over 1000 world powers are considering in the ranking which allows for a broad spectrum of comparisons to be achieved concerning relative military strengths. The user should note that nuclear capability is not taken into account as that would defeat the purpose of such comparisons. Instead, the GFP ranking is based strictly on each nations potential conventional war-making capabilities across land, sea and air. The final ranking also incorporates values related to resources, finances and geography. Some statistics have been estimated where official numbers are not publicly available. The GFP ranking is based on a formula utilizing over fifty different factors, compiled and measured against each nation. Bonuses (ex: low oil consumption) and penalties (ex: high oil consumption) are applied to further refine the list. The finalized GFP value is recognized as the "Power Index" (PwrIndx) which supplies a nation its respective positioning in the rankings. Note : • Nuclear capability is NOT taken into account • Geographical factors influence every country's ranking • Ranking does not solely rely on total number of weapons available • Natural resource reliance (use/production) is taken into account • Land-locked nations are NOT penalized for lack of a standing navy • Naval powers ARE penalized for limited naval capabilities • Current political/military leadership is NOT taken into account
      • Июнь 2016
        Источник: Economist Intelligence Unit
        Загружен: Knoema
        Дата обращения к источнику: 18 августа, 2016
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        The Global Food Security Index 2016: An annual measure of the state of global food security, is the second edition of an Economist Intelligence Unit study, commissioned by DuPont.
      • Сентябрь 2015
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 05 октября, 2015
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        DescriptionThe Global Forest Resources Assessment 2015 (FRA 2015) is the most comprehensive assessment of forests and forestry to date - not only in terms of the number of countries and people involved - but also in terms of scope. It examines the current status and recent trends for about 90 variables covering the extent, condition, uses and values of forests and other wooded land, with the aim of assessing all benefits from forest resources. Information has been collated from 233 countries and territories for four points in time: 1990, 2000, 2005 and 2010. The results are presented according to the seven thematic elements of sustainable forest management. FAO worked closely with countries and specialists in the design and implementation of FRA 2010 - through regular contact, expert consultations, training for national correspondents and ten regional and subregional workshops. More than 900 contributors were involved, including 178 officially nominated national correspondents and their teams. The outcome is better data, a transparent reporting process and enhanced national capacity in developing countries for data analysis and reporting. The final report of FRA 2010 was published at the start of the latest biennial meeting of the FAO' Committee on Forestry and World Forest Week, in Rome.
      • Ноябрь 2016
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 02 декабря, 2016
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        This data set provides the Index benchmarks national gender gaps on economic, political, education and health criteria, and provides country rankings that allow for effective comparisons across regions and income groups. The rankings are designed to create greater awareness among a global audience of the challenges posed by gender gaps and the opportunities created by reducing them. The methodology and quantitative analysis behind the rankings are intended to serve as a basis for designing effective measures for reducing gender gaps. Score,1=No inequality, 0=Maximum inequality. Rank,1=Minimum inequality
      • Сентябрь 2016
        Источник: Dual Citizen LLC
        Загружен: Knoema
        Дата обращения к источнику: 09 декабря, 2016
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        This 5th edition of the Global Green Economy Index (GGEI) is a data-driven analysis of how 80 countries perform in the global green economy, as well as how expert practitioners rank this performance. Since its launch in 2010, the GGEI has signaled which countries are making progress towards greener economies, and which ones are not. The comparison of national green performance and perceptions of it revealed through the GGEI framework is more important than ever today. This is because while there is far greater public and political focus on climate change and green growth now than when the GGEI was first published, often the commitments and targets communicated by leaders do not match the reality. This report will provide an overview of the newest GGEI results from the 5th edition, as well as more detail on how our research and data can enrich the work of others in this space.
      • Сентябрь 2016
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 14 декабря, 2016
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        The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others
      • Октябрь 2016
        Источник: International Food Policy Research Institute
        Загружен: Knoema
        Дата обращения к источнику: 10 января, 2017
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        The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally, regionally, and by country. Each year, the International Food Policy Research Institute (IFPRI) calculates GHI scores in order to assess progress, or the lack thereof, in decreasing hunger. The GHI is designed to raise awareness and understanding of regional and country differences in the struggle against hunger. Since 2015, GHI scores have been calculated using a revised and improved formula. The revision replaces child underweight, previously the sole indicator of child undernutrition, with two indicators of child undernutrition—child wasting and child stunting—which are equally weighted in the GHI calculation. The revised formula also standardizes each of the component indicators to balance their contribution to the overall index and to changes in the GHI scores over time. The 2016 GHI has been calculated for 118 countries for which data on the four component indicators are available and where measuring hunger is considered most relevant. GHI scores are not calculated for some higher income countries where the prevalence of hunger is very low. The GHI is only as current as the data for its four component indicators. This year's GHI reflects the most recent available country-level data and projections available between 2011 and 2016. It therefore reflects the hunger levels during this period rather than solely capturing conditions in 2016. The 1992, 2000, 2008, and 2016 GHI scores reflect the latest revised data for the four component indicators of the GHI. Where original source data were not available, the estimates of the GHI component indicators were based on the most recent data available. The four component indicators used to calculate the GHI scores draw upon data from the following sources: 1. Undernourishment: Updated data from the Food and Agriculture Organization of the United Nations (FAO) were used for the 1992, 2000, 2008, and 2016 GHI scores. Undernourishment data and projections for the 2016 GHI are for. 2. Child wasting and stunting: The child undernutrition indicators of the GHI—child wasting and child stunting—include data from the joint database of United Nations Children's Fund (UNICEF), the World Health Organization (WHO), and the World Bank, and additional data from WHO's continuously updated Global Database on Child Growth and Malnutrition; the most recent Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) reports; and statistical tables from UNICEF. For the 2016 GHI, data on child wasting and child stunting are for the latest year for which data are available in the period. 3. Child mortality: Updated data from the UN Inter-agency Group for Child Mortality Estimation were used for the 1992, 2000, 2008, and 2016 GHI scores. For the 2016 GHI, data on child mortality are from 2015.   Note: Values for the years are taken as per below table.1Global Hunger Index Scores2Proportion of Undernourished in the Population (%)3Prevalence of Stunting in Children Under Five Years (%)4Prevalence of Wasting in Children Under Five Years(%)5Prevalence of underweight in children under five years (%)6Under-five Mortality  Rate(%)                                                                                    Indicators12345DateRangeDateRangeDateRangeDateRangeDateRange19941990-199419931991-199319941990-199419941990-199419921988-199219981994-199819921990-199219921988-199219921988-199219971993-199720021998-200219961994-199619971993-199719971993-199719981994-199820031999-200319971995-199720021998-200220021998-200220021998-200220072002-200720011999-200120072003-200720072003-200720031999-200320082003-200820022000-200220102006-201020102006-201020052000-200520092004-200920032001-200320142010-201420142010-201420062001-200620102006-201020042002-200420152011-201520152011-201520072003-200720132009-201320052003-2005    20082003-200820162011-201620062004-2006    20102005-2010  20082006-2008    20132009-2013  20092007-2009        20132011-2013        20162014-2016       * 6. "Under-five Mortality  Rate(%)" year range has not been specified in source. GHI Severity Scale≤ 9.9 low10.0–19.9 moderate20.0–34.9 serious35.0–49.9 alarming50.0 ≤ extremely alarming
      • Июль 2016
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 13 января, 2017
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        This Dataset contains proprietary and non-proprietary data used in the computation of the World Economic's Forum Networked Readiness Index. By making this data available, the Forum aims to inform multi-stakeholder dialogue, foster evidence-based, data-driven decisions, allow measuring progress, and support research by academia, journalists and others.
      • Сентябрь 2016
        Источник: Global Innovation Index
        Загружен: Knoema
        Дата обращения к источнику: 12 января, 2017
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        The Global Innovation Index (The overall GII score is the simple average of the Input and Output Sub-Index scores) aims to capture the multi-dimensional facets of innovation and provide the tools that can assist in tailoring policies to promote long-term output growth, improved productivity, and job growth. The GII helps to create an environment in which innovation factors are continually evaluated. It provides a key tool and a rich database of detailed metrics for 141 economies this year, which represent 95.1% of the world’s population and 98.6% of global GDP. The Innovation Efficiency Ratio is calculated as the ratio of the Output Sub-Index score over the Input Sub-Index score. It is designed to assess the effectiveness of innovation systems and policies. The countries with the highest Innovation Efficiency Ratios are countries that combine certain levels of innovation inputs with more robust output.
      • Май 2016
        Источник: Internal Displacement Monitoring Centre
        Загружен: Knoema
        Дата обращения к источнику: 18 мая, 2016
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        Global Internal Displacement Database (GIDD) aims to provide comprehensive information on internal displacement worldwide. It covers all countries and territories for which IDMC has obtained data on situations of internal displacement, and provides data on situations of internal displacement associated with conflict and generalized violence (2014-2015), displacement associated with sudden-onset natural hazard-related disasters (2008-2015).
      • Февраль 2016
        Источник: Material Flows
        Загружен: Knoema
        Дата обращения к источнику: 14 июня, 2016
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      • Декабрь 2015
        Источник: Global Open Data Index
        Загружен: Knoema
        Дата обращения к источнику: 20 июля, 2016
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      • Декабрь 2016
        Источник: Milken Institute
        Загружен: Knoema
        Дата обращения к источнику: 06 января, 2017
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        Global Opportunity Index provides information that is vital to investors and policymakers. It helps government to pursue policies which can be helpful to attract foreign direct investment (FDI), expand their economies and accelerate job creation. It also help companies to explore FDI opportunities. Moreover, the index provides a baseline assessment for countries seeking to improve their business environments and attract foreign investors, the kind that commit capital to strategic projects rather than move it around as a fleeting portfolio tactic. Note: Composite Score (CS) is an average score of following indicators:a). Economic Fundamentals (EF)b). Ease of Doing Business (ED)c). Quality of Regulations (QR)d). Rule of Law (RL)Calculation of CS=( EF+ ED+ QR+ RL)/4Countries are ranked on basis of composite score (CS). For 2015, countries are also ranked on the basis of scores of individual indicators (EF, ED, QR and RL).Weighted Rank (WR) is average rank of following indicators:a). Financial Services (FS)b). Institutional Framework (IF)c). Economic Fundamental (EF)d). International Standard and Policy (IS)e). Business Perception (BP)Calculation of WR=( FS+ IF+ EF+ IS+ BP)/5
      • Июнь 2016
        Источник: Institute for Economics and Peace
        Загружен: Knoema
        Дата обращения к источнику: 25 июля, 2016
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        The 2016 Global Peace Index overall score deteriorated slightly compared with 2015, and at a faster rate than the previous year. Once again, the Middle East and North Africa (MENA) was the region that saw its levels of peace deteriorate the most. Four regions scored worse than the previous year, while three other regions improved and two remained the same.
      • Апрель 2017
        Источник: GlobalPetrolPrices.com
        Загружен: Knoema
        Дата обращения к источнику: 26 апреля, 2017
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        Data is getting collected Every Tuesday evening from the Global Petrol Prices website. Weekly Average data is available from 28-Dec-2015 onward. Monthly average price is available for the period of January, 2013 - July, 2013   Data cited at: Global Petrol Prices web site
      • Май 2014
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Kirill Kosenkov
        Дата обращения к источнику: 27 августа, 2015
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        Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013. Comparable estimates based on systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports, using mixed effects linear regression to correct for bias in self-reports. Data for prevalence of obesity and overweight by age, sex, country, and year (n=19 244) obtained with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Research by the staff of the Institute for Health Metrics and Evalutaion with co-authors. Published online 28 May 2014, "The Lancet" Volume 384, No. 9945, p766–781. DOI: http://dx.doi.org/10.1016/S0140-6736(14)60460-8
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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        Contains global production statistics (capture and aquaculture). This database contains the volume of aquatic species caught by country or area, by species items, by FAO major fishing areas, and year, for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included
      • Январь 2017
        Источник: Jones Lang LaSalle
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        JLL’s Global Real Estate Transparency Index is a unique survey that quantifies real estate market transparency across 102 markets worldwide.The Index aims to help real estate investors, corporate occupiers, retailers and hotel operators understand important differences when transacting, owning and operating in foreign markets.
      • Апрель 2014
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 20 мая, 2016
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        Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
      • Декабрь 2015
        Источник: INSEAD
        Загружен: Knoema
        Дата обращения к источнику: 24 октября, 2016
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        55This data presents high-level way of mapping individual countries in terms of talent competitiveness consists of comparing their GTCI scores to their GDP per capita for the selected indicators.In its first year, the GTCI model covers 103 countries,representing 86.3% of the world’s population and 96.7% of the world’s GDP (in current US dollars).It is a simplified manner of acquiring a first assessment about the ways in which competitiveness relates to overall level of economic development of a nation.
      • Май 2011
        Источник: Economist Intelligence Unit
        Загружен: Knoema
        Дата обращения к источнику: 07 января, 2015
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        The Global Talen Index Report: The Outlook to 2015
      • Июнь 2016
        Источник: KPMG
        Загружен: Knoema
        Дата обращения к источнику: 26 сентября, 2016
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        Covers data on corporate, indirect and individual income tax rates throughout 163 countries across the world during the period from 2006 to 2016. Provided by KPMG.
      • Ноябрь 2016
        Источник: Institute for Economics and Peace
        Загружен: Knoema
        Дата обращения к источнику: 29 ноября, 2016
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        The Global Terrorism Index (GTI) is a comprehensive study which accounts for the direct and indirect impact of terrorism in 163 countries in terms of its effect on lives lost, injuries, property damage and the psychological aftereffects of terrorism. This study covers 99.6 per cent of the world’s population. It aggregates the most authoritative data source on terrorism today, the Global Terrorism Database (GTD) collated by the National Consortium for the Study of Terrorism and Responses to Terrorism (START) into a composite score in order to provide an ordinal ranking of nations on the negative impact of terrorism. The GTD is unique in that it consists of systematically and comprehensively coded data on domestic as well as international terrorist incidents and now includes more than 140,000 cases. Note: "Change in score values" have been calculated for 2015 by score in 2015 minus score in 2014 (Score_2015-Score_2014). For rest of the years according to source.
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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      • Декабрь 2014
        Источник: World Wide Web Foundation
        Загружен: Knoema
        Дата обращения к источнику: 04 апреля, 2016
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        The Web has changed our lives. But to harness its full benefit, we need to understand how countries and people use it, and its impact on on development and human rights. The Web Index, by the World Wide Web Foundation, tracks the Web’s contribution to social, economic and political progress across 86 countries. It ranks these nations across four pillars: Universal Access, Freedom and Openness, Empowerment and Relevant Content.
      • Июль 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 сентября, 2016
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        This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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        This table shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP). Normalized trade balance of goods and services is defined as the trade balance (total exports less total imports) divided by the total trade (exports plus imports).  
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 01 декабря, 2016
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        This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
      • Август 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 августа, 2014
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        This table shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP).
      • Август 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 августа, 2014
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        This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 31 марта, 2017
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        Key statistical concept Although there are clear definitions for all the terms used in this survey, countries might have different methodologies to calculate tonne-kilometer and passenger-kilometers. Methods could be based on traffic or mobility surveys, use very different sampling methods and estimating techniques which could affect the comparability of their statistics. Also, if the definition on road fatalities is very clear and well applied by most coutries, this is not the case for road injuies. Indeed, not only countries might have different definitions but the important underreporting of road injuries in most countries can distort analysis based on these data.
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 13 октября, 2016
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        This table presents data on Government appropriations or outlays for RD (GBAORD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge: RD financed from General University Funds (GUF), General advancement of knowledge: RD financed from sources other than GUF, Defence. Please note that in this new NABS 2007 classification, the three socio-economic objectives -- Education, Culture, recreation, religion and mass media, and Political and social systems, structures and processes -- were previously grouped under a single objective: Social structures and relationships. At the time of this publication there is no breakdown of historical data into the three new SEOs. Another issue relating to the transition from NABS 1993 to NABS 2007 is that what was formerly Other civil research is now to be distributed among the other chapters. This distribution has not yet been done in this database. Therefore, until the countries are in a position to provide breakdown according to the NABS 2007 classification, in some cases GBAORD by SEO is greater than the sum of its chapters.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2014
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        It provides a breakdown of government expenditure according to their function. To meet this end, economic flows of expenditure must be aggregated according to the Classification of the Functions of Government (COFOG).
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 июля, 2016
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        The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source.
      • Январь 2016
        Источник: National Science Foundation
        Загружен: Knoema
        Дата обращения к источнику: 31 марта, 2016
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        1. RD & D stands for Research, Development and Demonstration2. Clean energy and other non-fossil fuel technologies include renewables (solar, wind, biofuels, ocean energy, and hydropower), nuclear, hydrogen and fuel cells, CO2 capture and storage, other power and storage, and energy efficiency 3.Data collected from table 6-54 to 6-64
      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 мая, 2014
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        Eurostat Dataset Id:educ_bo_mo_gr4 The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening access educ_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age B. Study framework educ_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education C. Student and staff mobility educ_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country) D. Effective outcomes and employability educ_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A   The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities: Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Февраль 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 марта, 2016
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        Graduates are those who successfully complete an educational programme during the reference year of the data collection. One condition of a successful completion is that students should have enrolled in, and successfully completed, the final year of the corresponding educational programme, although not necessarily in the year of reference. Students who do not complete the final year of an educational programme, but later successfully complete a recognised "equivalency" examination based on knowledge learned outside of the education system, should not be counted as graduates. Successful completion is defined according to the graduation requirements established by each country: in some countries, completion occurs as a result of passing a final, curriculum-based examination or series of examinations. In other countries, completion occurs after a specific number of teaching hours has been accumulated (although completion of some or all of the course hours may also involve examinations).
      • Сентябрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 октября, 2014
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        Graduates are those who successfully complete an educational programme during the reference year of the data collection. One condition of a successful completion is that students should have enrolled in, and successfully completed, the final year of the corresponding educational programme, although not necessarily in the year of reference. Students who do not complete the final year of an educational programme, but later successfully complete a recognised "equivalency" examination based on knowledge learned outside of the education system, should not be counted as graduates. Successful completion is defined according to the graduation requirements established by each country: in some countries, completion occurs as a result of passing a final, curriculum-based examination or series of examinations. In other countries, completion occurs after a specific number of teaching hours has been accumulated (although completion of some or all of the course hours may also involve examinations).
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 июля, 2016
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        This dataset contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicator bring together the OECD's statistics, indicators and measures of progress. The dataset covers OECD countries as well as BRIICS economies (Brazil, Russian Federation, India, Indonesia, China and South Africa), and selected countries when possible. The indicators are selected according to well specified criteria and embedded in a conceptual framework, which is structured around four groups to capture the main features of green growth: Environmental and resource productivity, to indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks; The natural asset base, to indicate the risks to growth from a declining natural asset base; Environmental quality of life, to indicate how environmental conditions affect the quality of life and wellbeing of people; Economic opportunities and policy responses, to indicate the effectiveness ofpolicies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.
      • Апрель 2017
        Источник: United Nations Framework Convention on Climate Change
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        In accordance with Articles 4 and 12 of the Climate Change Convention, and the relevant decisions of the Conference of the Parties, countries that are Parties to the Convention submit national greenhouse gas (GHG) inventories to the Climate Change secretariat. These submissions are made in accordance with the reporting requirements adopted under the Convention, such as The UNFCCC Reporting Guidelines on Annex I Inventories (document FCCC/SBSTA/2004/8) for Annex I Parties and Guidelines for the preparation of national communications for non-Annex I Parites (decision 17/CP.8). The inventory data are provided in the annual GHG inventory submissions by Annex I Parties and in the national communications under the Convention by non-Annex I Parties. The GHG data reported by Parties contain estimates for direct greenhouse gases, such as: CO2 - Carbon dioxide CH4 - Methane N2O - Nitrous oxide PFCs - Perfluorocarbons HFCs - Hydrofluorocarbons SF6 - Sulphur hexafluoride as well as for the indirect greenhouse gases such as SO2, NOx, CO and NMVOC.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 октября, 2016
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        This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas. Data refer to total emissions of CO2 (emissions from energy use and industrial processes, e.g. cement production), CH4 (methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs) and sulphur hexafluoride (SF6). When interpreting these data it should be kept in mind that they refer to gross direct emissions excluding emissions or removals from land-use change and forestry (LULUCF). This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas. Data refer to total emissions of CO2 (emissions from energy use and industrial processes, e.g. cement production), CH4 (methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs) and sulphur hexafluoride (SF6). When interpreting these data it should be kept in mind that they refer to gross direct emissions excluding emissions or removals from land-use change and forestry (LULUCF).
      • Сентябрь 2014
        Источник: United Nations Framework Convention on Climate Change
        Загружен: Knoema
        Дата обращения к источнику: 10 сентября, 2014
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        Note 1: The reporting and review requirements for GHG inventories are different for Annex I and non-Annex I Parties. The definition format of data for emissions/removals from the forestry sector is different for Annex I and non-Annex I Parties. Note 2: Base year data in the data interface relate to the base year under the Climate Change Convention (UNFCCC). The base year under the Convention is defined slightly different than the base year under the Kyoto Protocol. An exception is made for European Union (15) whereby the base year under the Kyoto Protocol is displayed.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 июня, 2016
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        As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Gross claims payments in the reporting country, containing a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies.
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 июля, 2016
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        This table contains research and development (R&D) expenditure statistics on gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities). Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 prices and PPPs).
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 апреля, 2016
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        Unit of measure used Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents data on Gross domestic expenditure on R&D (GERD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge, and Defence. Please note that in this new NABS 2007 classification, the three socio-economic objectives -- Education, Culture, recreation, religion and mass media, and Political and social systems, structures and processes -- were previously grouped under a single objective: Social structures and relationships. At the time of this publication there is no breakdown of historical data into the three new SEOs. Another issue relating to the transition from NABS 1993 to NABS 2007 is that what was formerly Other civil research is now to be distributed among the other chapters. This distribution has not yet been done in this database. Therefore, until the countries are in a position to provide breakdown according to the NABS 2007 classification, in some cases GERD by SEO is greater than the sum of its chapters.
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 июня, 2016
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        Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table contains research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by source of funds (business enterprise, government - including public general university funds -, higher education, private non-profit and funds from abroad - including funds from enterprises and other funds from abroad).
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 марта, 2017
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        Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of costs (current expenditures: labour costs, other current costs; and capital expenditures: land and buildings, and instruments and equipment).
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2017
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        It presents the three approaches of the GDP: expenditure based, output based and income based. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 июня, 2016
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        As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. This part contains gross operating expenses in the reporting country, with a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 09 апреля, 2017
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        National accounts are a coherent 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. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2017
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        The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2017
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        The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2017
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        The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 15 апреля, 2017
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        The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 15 апреля, 2017
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        The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 15 апреля, 2017
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        The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2017
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        The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 15 апреля, 2017
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        The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
      • Ноябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 декабря, 2016
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        The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, some time lag may arise which affects individual series and/or individual countries for two reasons: First, hours worked data from the OECD Employment Outlook are typically updated less frequently than the OECD Annual National Accounts Database. Second, source data for capital services are typically available in annual national accounts with a lag. Labour productivity is a key driver of economic growth and changes in living standards, as measured notably by growth in GDP per capita. Labour productivity growth means a higher level of output for every hour worked. This can be achieved if more capital is used in production or through improved overall efficiency with which labour and capital are used together, i.e., higher multifactor productivity growth (MFP). Labour productivity is also a key driver of international competitiveness, e.g. as measured by Unit Labour Costs (ULC).
    • H
      • Март 2017
        Источник: Department of Business, Economic Development & Tourism, State of Hawaii
        Загружен: Knoema
        Дата обращения к источнику: 12 апреля, 2017
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      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha_hf Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.3.2. Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha_hc Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.3.2. Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha_hp Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.3.2. Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
      • Май 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2015
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        Eurostat Dataset Id:hlth_sha_ltc Data descriptionHealth care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household).The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP).Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005.The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.3.2. Classification systemFor all data on expenditure two sources for classifications are available:the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 andthe Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
      • Декабрь 2014
        Источник: Economist Intelligence Unit
        Загружен: Knoema
        Дата обращения к источнику: 08 января, 2015
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        Over the past decade or more, there have been several efforts to find out which are the world’s best-performing healthcare systems. The pioneer was the World Health Organisation (WHO), which used its annual World Health Report in 2000 to perform a systematic global analysis. The work that The Economist Intelligence Unit has previously carried out in the area of value-based healthcare has made it clear that value is a vexed term
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 02 ноября, 2016
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        OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
      • Ноябрь 2013
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 10 декабря, 2013
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        OECD Health Data 2013 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 ноября, 2016
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        OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.B1:B4
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 ноября, 2016
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        OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
      • Октябрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 15 ноября, 2016
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        OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
      • Июнь 2010
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
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        OECD Health Data 2010 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
      • Декабрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 22 декабря, 2016
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        The World Bank Health Nutrition and Population Statistics Provides key health, nutrition and population statistics gathered from a variety of international sources. Themes include population dynamics, nutrition, reproductive health, health financing, medical resources and usage, immunization, infectious diseases, HIV/AIDS, DALY, population projections and lending. HNPStats also includes health, nutrition and population statistics by wealth quintiles.
      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 10 января, 2017
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        This dataset provides population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and gender and cover approximately 200 economies.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 08 ноября, 2016
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      • Декабрь 2016
        Источник: ClinicalTrials.gov
        Загружен: Knoema
        Дата обращения к источнику: 28 декабря, 2016
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        ClinicalTrials.gov currently lists 233,365 studies with locations in all 50 States and in 195 countries. As of October 2015, ClinicalTrials.gov receives an average of more than 207 million page views per month and 65,000 unique visitors daily.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        '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 under Annexes section. 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 under Annexes section. 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 under Annexes section. 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 under Annexes section. 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.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 15 апреля, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
        Выбрать
        '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 under Annexes section. 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 under Annexes section. 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 under Annexes section. 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 under Annexes section. 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.
      • Май 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 07 октября, 2016
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        The Historical Public Debt Database contains unbalanced panel data on Gross Domestic Product Gross Government Debt and Gross Government Debt-to-GDP Ratio for 187 countries. The series spans the years 1800 through 2015 although each country’s data depends on its date of independence and data availability. The database was constructed by bringing together a number of other datasets and information from original sources. For the most recent years the data are linked to the IMF World Economic Outlook (WEO) database to facilitate regular updates.
      • Декабрь 2010
        Источник: Maddison Project
        Загружен: Knoema
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        Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
      • Февраль 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 15 февраля, 2017
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        The Hourly Earnings (MEI) dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and for selected non-member economies. The MEI Earnings dataset provides monthly and quarterly data on employees' earnings series. It includes earnings series in manufacturing and for the private economic sector. Mostly the sources of the data are business surveys covering different economic sectors, but in some cases administrative data are also used. The target series for hourly earnings correspond to seasonally adjusted average total earnings paid per employed person per hour, including overtime pay and regularly recurring cash supplements. Where hourly earnings series are not available, a series could refer to weekly or monthly earnings. In this case, a series for full-time or full-time equivalent employees is preferred to an all employees series.
      • Январь 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 02 февраля, 2017
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      • Февраль 2017
        Источник: United Nations Development Programme
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
      • Апрель 2016
        Источник: Human Mortality Database
        Загружен: Knoema
        Дата обращения к источнику: 22 августа, 2016
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        Data cited at, 1. https://kapsarc.opendatasoft.com/explore/dataset/population-human-mortality-database  
    • I
      • Январь 2008
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 22 сентября, 2014
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        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.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Сентябрь 2016
        Источник: International Centre for Tax and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 сентября, 2016
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        A major obstacle to cross-country research on the role of revenue and taxation in development has been the weakness of available data. Government Revenue Dataset (GRD), developed through the International Centre for Tax and Development (ICTD), is aimed at overcoming this obstacle. It meticulously combines data from several major international databases, as well as drawing on data compiled from all available International Monetary Fund (IMF) Article IV reports. It achieves marked improvements in data coverage and accuracy, including a standardized approach to revenue from natural resources, and holds the promise of significant improvement in the credibility and robustness of research in this area. Dataset contains Central, General and merged government revenue data reported as % of GDP.
      • Апрель 2017
        Источник: International Energy Agency
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        IEA member countries’ closing oil stock levels in days of net imports monthly data. Each IEA member country, excluding net exporters (Canada, Denmark and Norway), has an obligation to have oil stock levels that equate to no less than 90 days of net imports. The IEA minimum stockholding obligation is based on net imports of all oil, including both primary products (such as crude oil, natural gas liquids [NGLs]) and refined products. It does not cover naphtha and volumes of oil used for international marine bunkers. The 90-day commitment of each IEA member country is based on average daily net imports of the previous calendar year. This commitment can be met through both stocks held exclusively for emergency purposes and stocks held for commercial or operational use, including stocks held at refineries, at port facilities, and in tankers in ports. The obligation specifies several types of stocks that cannot be counted toward the commitment, including military stocks, volumes in tankers at sea, in pipelines or at service stations, or amounts held by end-consumers (tertiary stocks). It also does not include crude oil not yet produced. Member countries can arrange to store oil outside of their national boundaries and include such stocks in meeting their minimum requirement. This option is particularly important for countries in which storage capacity constraints or supply logistics make domestic storage insufficient. To exercise this option and count the stocks held abroad toward the obligation, the governments involved must have bilateral agreements assuring unconditional access to the stocks in an emergency. When evaluating a country's compliance with the 90-day obligation, the IEA applies a 10% deduction to its total stocks, net any oil held under bilateral agreements. This accounts for any volumes that are technically unavailable (such as tank bottoms).
      • Февраль 2011
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Knoema
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        IHME results from paper, Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis, published online in The Lancet on April 30 2010. This dataset provides global estimates of adult mortality risk, 45q15 (probability of death between the ages of 15 years and 60 years), between 1970 and 2010.
      • Февраль 2011
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Knoema
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        IHME results from paper, Neonatal, post neonatal, childhood, and under-5 mortality for 187 countries, 1970-2010: a systematic analysis of progress towards Millennium Development Goal 4, published online in The Lancet on May 24 2010. This dataset provides estimates of neonatal, post neonatal, childhood, and under-5 mortality for 187 countries between 1970 and 2010.
      • Декабрь 2010
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Knoema
        Дата обращения к источнику: 31 июля, 2013
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        IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
      • Сентябрь 2011
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Knoema
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        IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
      • Ноябрь 2016
        Источник: India Meteorological Department
        Загружен: Knoema
        Дата обращения к источнику: 19 января, 2017
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        The IMD World Competitiveness Center is delighted to present its IMD World Talent Report 2016, which includes a talent ranking for all countries that are part of the IMD World Competitiveness Yearbook (61 countries as of 2016). The data are gathered from the Center’s extensive database, which encompasses 20 years of competitiveness-related data. In some sections of this report, we present a detailed discussion of the data (at the indicator level) from 2005 to 2016. In the indicator tables, however, we only present the 2016 data. All criteria employed in the development of this report can be accessed through the World Competitiveness Online website. The objective of the IMD World Talent Ranking is to assess the extent to which countries develop, attract and retain talent to sustain the talent pool available for enterprises operating in those economies. While the hard data used in this report have been gathered from various sources (see Appendix), the survey data were obtained from the Center’s executive opinion survey, designed for the World Competitiveness Yearbook.
      • Май 2014
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 26 августа, 2014
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        This Dataset Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010.
      • Май 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 06 февраля, 2017
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        Debt: Use It Wisely Drawing on an expanded data set covering emerging markets and low-income countries as well as advanced economies, this Fiscal Monitor examines the extent and makeup of global debt and asks what role fiscal policy can play in facilitating the adjustment. The analytical framework explicitly models the interlinkages between private and public debt in analyzing the role of fiscal policy in the deleveraging process. Country case studies provide useful insights on what fiscal policy should and should not do to facilitate deleveraging while minimizing the drag on the economy. Examines the extent and makeup of global debt and asks what role fiscal policy can play in facilitating the adjustment.
      • Декабрь 2014
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 12 апреля, 2017
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        The Government Finance Statistics  http://www.imf.org/external/pubs/ft/gfs/manual/aboutgfs.htm
      • Октябрь 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 06 октября, 2016
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        The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year. Use this database to find data on national accounts, inflation, unemployment rates, balance of payments, fiscal indicators, trade for countries and country groups (aggregates), and commodity prices whose data are reported by the IMF. Data are available from 1980 to the present, and projections are given for the next two years. Additionally, medium-term projections are available for selected indicators. For some countries, data are incomplete or unavailable for certain years. October 2016 No changes have been introduced for the October 2016 World Economic Outlook database.
      • Ноябрь 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        BOPSY Global Tables aggregates country data by major balance of payments components and by international invetment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides a comprehensive view of government expense, including detailed classifications of compensation of employees, use of goods and services, consumption of fixed capital, interest payable, subsidies payable, grants payable, social benefits, and other expense.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterparty claim belongs. The counterpart sectors include nonfinancial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in nonfinancial assets – a component of total expenditure – on its components and related stock positions are provided.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides an overview of government’s cash flows, as summarized in the Statement of Sources and Uses of Cash, for those countries compiling GFS on a noncash basis (for example, an accrual basis) and are also including a cash flow statement.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
      • Июль 2015
        Источник: General Directorate of Statistics, Honduras
        Загружен: Knoema
        Дата обращения к источнику: 17 июня, 2016
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      • Июнь 2016
        Источник: U.S. Department of Homeland Security
        Загружен: Knoema
        Дата обращения к источнику: 10 сентября, 2016
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      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The allocation of bilateral intermediate imports across using industries assumes that import coefficients are the same for all trade partners, i.e. SHAREipkt is identical across exporter countries. Hence, the bilateral pattern of imported intermediates from industry p is the same across all using industries k. However, it is different from the bilateral pattern of total imports from industry p because trade data (measured by VALUEijpt) allows distinguishing bilateral imports of intermediates from final good imports in industry p. While the BEC classification enables the identification of intermediate goods, no similar classification is available for trade in services, due to the high level of aggregation in services trade data. While goods trade data are based on customs declarations allowing the identification of goods at a highly disaggregated level, services trade data are based on a variety of information such as business accounts, administrative sources, surveys, and estimation techniques (Manual on Statistics of International Trade in Services, 2002). Hence, in the case of trade in services, VALUEijpt is the total value of imports of service p, i.e. both final and intermediate (and not only services that are used in the production of other goods and services, as in the case of goods data). By making an additional assumption and adjusting SHAREipkt, it is however possible to calculate trade in intermediate services. In the case of services imports, SHAREipkt is the share of imported service inputs p used by industry k in total imports of p of country i. In the case of services, besides the assumption that all trading partners have the same distribution of intermediate imports p across using industries k, it is furthermore required that the share of intermediate services in overall bilateral services imports of country i is the same across all partner countries j. Finally, it should be mentioned that trade data reported in the trade statistics do not fully match imports as reported in I-O tables. One main reason is that while trade data is recorded at consumer prices, I-O tables are evaluated at producer prices. There are also other differences such as the treatment of re-exports, scrap metal, waste products and second hand goods or unallocated trade data.
      • Январь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 октября, 2016
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      • Июль 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 08 октября, 2015
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        This table contains data on discouraged jobseekers as a percentage of the labour force and as a percentage of the population by sex and standardised age groups (15-24, 15-64, 25-54, 55-64, 65+, total). Unit of measure used - Data are expressed as percentages.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 ноября, 2016
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        This table contains data on the cross-country distribution of employment by hour bands for declared hour bands, broken down by professional status - employees, total employment - sex and detailed age groups.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 ноября, 2016
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        This table contains incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. Part-time employment is based on a common 30-usual-hour cut-off in the main job. Unit of measure used - Data are expressed in percentages.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 ноября, 2016
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        This table contains incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. Part-time employment is based on national definitions.The definition of part-time work varies considerably across OECD countries Essentially three main approaches can be distinguished: i) a classification based on the worker's perception of his/her employment situation; ii) a cut-off (generally 30 or 35 hours per week) based on usual working hours, with persons usually working fewer hours being considered part-timers; iii) a comparable cut-off based on actual hours worked during the reference week. A criterion based on actual hours will generally yield a part-time rate higher than one based on usual hours, particularly if there are temporary reductions in working time as a result of holidays, illness, short-timing, etc. On the other hand, it is not entirely clear whether a classification based on the worker's perception will necessarily yield estimates of part-time work that are higher or lower than one based on a fixed cut-off. In one country (France) which changed from 1981 to 1982 from a definition based on an actual hours cut-off (30 hours) to one based on the respondent's perception, the latter criterion appeared to produce slightly higher estimates. Other data characteristics
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2016
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        This table contains the shares of involuntary part-time work among part-time workers and ratio of involuntary part-time work and labour force and the gender composition of involuntary part-time workers. Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total). Unit of measure used - Data are expressed as percentages.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 ноября, 2016
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        This table contains data on the share of the five durations - less than 1 month,>1 month and < 3 months,>3 months and <6 months,>6 months and <1 year, 1 year and over - of unemployment among total unemployment by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total). Unit of measure used - Data expressed in percentages.
      • Август 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 02 сентября, 2015
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      • Февраль 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 23 марта, 2015
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        Bank profitability statistics are based on financial statements of banks in each Member country and are presented in the standard OECD framework. Although the objective is to include all institutions which conduct ordinary banking business, namely institutions which primarily take deposits from the public and provide finance for a wide range of purposes, the institutional coverage of banks in the statistics available in this database is not the same in each country. Ratios based on various items of the income statements and balance sheets of banks in percentage of some aggregates are also provided to facilitate the analysis of trends in bank profitability of OECD countries.
      • Сентябрь 2015
        Источник: Pearson
        Загружен: Knoema
        Дата обращения к источнику: 15 октября, 2015
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        The Global Index of Cognitive Skills and Educational Attainment compares the performance of 39 countries and one region (Hong Kong) on two categories of education: Cognitive Skills and Educational Attainment. The Index provides a snapshot of the relative performance of countries based on their education outputs.List of indicators   Main sourceMain year1. Cognitive Skills  1.1  Grade 8  1.1.1  Reading Literacy - PISAOECD - PISA report20091.1.2  Mathematics Literacy - PISA and TIMSSEIU based on IEA and OECD data 1.1.2.1  PISA - Mathematics LiteracyOECD - PISA report20091.1.2.2  TIMSS - Mathematics AchievementIEA - TIMSS and PIRLS International Study Center20071.1.3  Science Literacy - PISA and TIMSSEIU based on IEA and OECD data 1.1.3.1  PISA - Science LiteracyOECD - PISA report20091.1.3.2  TIMSS - Science  AchievementIEA - TIMSS and PIRLS International Study Center20071.2  Grade 4  1.2.1  PIRLS - Reading Literacy AchievementIEA - TIMSS and PIRLS International Study Center20061.2.2  TIMSS - Mathematics  AchievementIEA - TIMSS and PIRLS International Study Center20071.2.3  TIMSS - Science  AchievementIEA - TIMSS and PIRLS International Study Center20072. Educational Attainment  2.1  Literacy rate  2.1.1  Literacy rate (15 and over), %UNESCO Institute for Statistics (UIS)20102.2  Graduation rate  2.2.1  Graduation rate at upper secondary level OECD 20102.2.2  Graduation rate at tertiary level OECD 2010
      • Декабрь 2016
        Источник: Heritage Foundation
        Загружен: Knoema
        Дата обращения к источнику: 14 марта, 2017
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        Economic freedom is the fundamental right of every human to control his or her own labor and property. In an economically free society, individuals are free to work, produce, consume, and invest in any way they please, with that freedom both protected by the state and unconstrained by the state. In economically free societies, governments allow labor, capital and goods to move freely, and refrain from coercion or constraint of liberty beyond the extent necessary to protect and maintain liberty itself.
      • Декабрь 2016
        Источник: Ministry of Statistics and Programme Implementation, Government of India
        Загружен: Knoema
        Дата обращения к источнику: 04 апреля, 2017
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        This dataset covers Value of Imports of Merchandise Into India By Principal Countries of Consignment and Value of Exports of Merchandise (Indian Produce And Manufactures) From India by Principal Countries of Destination. In addition, it has Summary Merchandise Trade By Revised Economic Regions. Note: FY2000-01 refered as 2001. Total Imports/exports includes other countries also.
      • Октябрь 2012
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 28 ноября, 2015
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      • Октябрь 2012
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 28 ноября, 2015
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      • Октябрь 2012
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 28 ноября, 2015
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      • Март 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 13 марта, 2017
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        Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises the series 'Industrial countries' effective exchange rates including New Member States'. The series 'Industrial countries' effective exchange rates excluding New Member States' is no longer updated and may be found in the collection 'Exchange rates: historical data'.
      • Март 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 13 марта, 2017
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        Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises the series 'Industrial countries' effective exchange rates including New Member States'. The series 'Industrial countries' effective exchange rates excluding New Member States' is no longer updated and may be found in the collection 'Exchange rates: historical data'.
      • Март 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 13 марта, 2017
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        Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises the series 'Industrial countries' effective exchange rates including New Member States'. The series 'Industrial countries' effective exchange rates excluding New Member States' is no longer updated and may be found in the collection 'Exchange rates: historical data'.
      • Июль 2016
        Источник: United Nations Industrial Development Organization
        Загружен: Knoema
        Дата обращения к источнику: 22 августа, 2016
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        The UNIDO Industrial Statistics Database at the 4-digit level of ISIC (INDSTAT4) contains highly disaggregated data on the manufacturing sector for the period 1990 onwards. Comparability of data over time and across the countries has been the main priority of developing and updating this database. INDSTAT4 offers a unique possibility of in-depth analysis of the structural transformation of economies over time. The database contains seven principle indicators of industrial statistics. The data are arranged at the 3- and 4-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3 and 4 pertaining to the manufacturing, which comprises more than 150 manufacturing sectors and sub-sectors.   Note: Value added and Employnment indicators were extracted from   http://www.unido.org/Data1/IndStatBrief/E_Employement_Wages_and_Employment_Share_per_Sector.cfm?print=no&ttype=C4&Country=ALB&sortBy=&sortDir=&Group=
      • Июль 2016
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 10 ноября, 2016
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      • Март 2016
        Источник: UNESCO Institute for Statistics
        Загружен: Knoema
        Дата обращения к источнику: 30 марта, 2016
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      • Октябрь 2010
        Источник: Japan Apparel Technology and Research Association
        Загружен: Knoema
        Дата обращения к источнику: 31 августа, 2016
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        The Japan Apparel Industrial Association
      • Декабрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 ноября, 2016
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        The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source.
      • Декабрь 2014
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 04 сентября, 2015
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        Fertilizer prices paid by farmers are shown in local currency per metric tonne of plant nutrients (N, P2O5 and K2O) for straight fertilizers and per metric tonne of product for mixed and complex fertilizers. They generally refer to bagged fertilizers. Prices are shown with subsidies deducted wherever possible. Caution should be exercised in intercountry comparisons since pricing points, price policies, credit arrangements, etc. are not uniform.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        The new database on Institutional investors' assets replaces the former database on Institutional Investors. It constitutes an attempt to better integrate these data in the framework of the System of National Accounts (SNA). Institutional Investors' assets are mainly compiled on the basis of the System of National Accounts (SNA93).
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        Institutional Investors' Assets and Liabilities data are reported by Central Banks, National Statistical Institutes or Supervisory Authorities. The indicators reported here are compiled on the basis of those statistics.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 06 апреля, 2017
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        These data are part of a larger database, hosted on a different website, which includes both quantitative and qualitative data, as well as graphs.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 июня, 2016
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        As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Breakdown of net premiums written in the reporting country in terms of domestic risks and foreign risks, thus providing an indicator of direct cross-border operations of insurance business.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 22 февраля, 2017
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        As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Covers business written abroad by branches, agencies and subsidiaries established abroad of domestic undertakings and includes all business written outside the country by these entities (in both OECD and non-OECD countries).
      • Август 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 09 сентября, 2016
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        This data deals with premiums written by classes of non-life insurance for the business written in the reporting country.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 июня, 2016
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        Geographic coverage OECD countries, Selected African and Asian countries, Selected Latin American countries Institutional coverage The insurance industry is a key component of the economy by virtue of the amount of premiums it collects, the scale of its investment and, more fundamentally, the essential social and economic role it plays in covering personal and business risks. The "OECD Insurance Statistics" publication provides major official insurance statistics for all OECD countries. The reader will find information on the diverse activities of this industry and on international insurance market trends. The data, which are standardised as far as possible, are broken down under numerous sub-headings, and a series of indicators makes the characteristics of the national markets more readily comprehensible. This publication is an essential tool for civil servants, businessmen and academics working in the insurance field. Item coverage This part consists of tables by indicators, which reflect the most significant characteristics of the OECD insurance market. In most cases, the tables contain data of all OECD countries as well as aggregated "OECD", "EU15" (the 15 member countries of the European Union in 1995) and "NAFTA" data from 1983 to 2012, for the following categories: - life insurance, - non-life insurance - and total. The premiums amounts are converted from national currencies into US dollar. Exchange rates used are end-of-period exchanges rates for all variables valued at the end of the year, and period-average for variables representig a flow during the year.
      • Январь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 06 июня, 2016
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      • Декабрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 05 марта, 2016
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        Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
      • Август 2013
        Источник: ESPN Cricinfo
        Загружен: Knoema
        Дата обращения к источнику: 03 сентября, 2013
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        International Cricket Council Ranking List of 2013
      • Март 2017
        Источник: Federal Reserve Bank of St. Louis
        Загружен: Knoema
        Дата обращения к источнику: 21 марта, 2017
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        This dataset contains forecast data from the dataset: https://knoema.com/FREDID2017/international-data-from-fred-monthly-update-fred
      • Июнь 2015
        Источник: Barro-Lee
        Загружен: Knoema
        Дата обращения к источнику: 29 сентября, 2015
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        The Barro-Lee Data set (2010) extends their previous estimates from 1950 to 2010, and provide more, improved data disaggregated by sex and and by 5-year age intervals. It provides educational attainment data for 146 countries in 5-year intervals from 1950 to 2010 as well as information about the distribution of educational attainment of the adult population over age 15 and over age 25 by sex at seven levels of schooling. Average years of schooling at all levels are also measured for each country and for regions in the world. Note: Cited at Barro, Robert and Jong-Wha Lee, April 2010, "A New Data Set of Educational Attainment in the World, 1950-2010." NBER Working Paper No. 15902
      • Апрель 2017
        Источник: U.S. Energy Information Administration
        Загружен: Knoema
        Дата обращения к источнику: 17 апреля, 2017
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      • Апрель 2017
        Источник: U.S. Energy Information Administration
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2017
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        Data by country, region, for 217 countries including total and crude oil production, oil consumption, natural gas production and consumption, coal production and consumption, electricity generation and consumption, primary energy, energy intensity, CO2 emissions and imports and exports for all fuels.
      • Август 2014
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 02 сентября, 2015
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        This data set contains estimates of total and marginal budget shares and income and price elasticities for nine broad consumption groups and eight food subgroups across 144 countries. Total and marginal budget shares and income and price elasticities are estimated using 2005 International Comparison Program (ICP) data, which is maintained by the ICP Development Data Group of the World Bank
      • Декабрь 2016
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        This data set includes historical and projected annual data for real gross domestic product (GDP), population, real exchange rates, consumer price indices (CPIs) and GDP deflators for 189 countries, 37 regional aggregates, and 12 income-based aggregates of the world economy. The data are all measured in or centered on real 2010 dollar values. The data are organized by region in spreadsheets that are identical except for the variable name. The historical data and projections are updated annually.
      • Декабрь 2015
        Источник: United Nations Development Programme
        Загружен: Knoema
        Дата обращения к источнику: 30 августа, 2016
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        The estimates are based on official statistics on the foreign-born or the foreign population, classified by sex, and age. Most of the statistics utilised to estimate the international migrant stock were obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants.
      • Апрель 2014
        Источник: United Nations Development Programme
        Загружен: Knoema
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        The estimates are based on official statistics on the foreign-born or the foreign population, classified by sex, and age. Most of the statistics utilised to estimate the international migrant stock were obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants.
      • Январь 2006
        Источник: Walter G. Park
        Загружен: Knoema
        Дата обращения к источнику: 12 июля, 2016
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        International patent protection: 1960–2005 Walter G. Park ∗ Department of Economics, American University, 4400 Massachusetts Avenue NW, Washington, DC 20016, USA Received 24 October 2007; received in revised form 14 December 2007; accepted 29 January 2008 Available online 10 March 2008 http://fs2.american.edu/wgp/www/res_policy08.pdf
      • Январь 2017
        Источник: Property Rights Alliance
        Загружен: Knoema
        Дата обращения к источнику: 04 января, 2017
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        In order to make it possible to defend both physical and intellectual property rights of people, the Property Rights Alliance developed an instrument allowing comparison between the nations by relative strengths of property rights they provide for their citizens. This instrument, the International Property Rights Index, is published since 2007 helping policymakers to make better decisions. The Index comprises 130 countries, comparing them by three core variables, that affect the resulting index, namely country's legal and political environment, recognition and enforcement of physical and intellectual property rights.The overall grading scale of the IPRI ranges from 0 to 10, where 10 is the highest value for a property rights system and 0 is the lowest value (i.e. most negative) for a property rights system within a country..
      • Апрель 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 17 апреля, 2017
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        The Data Template on International Reserves and Foreign Currency Liquidity is an innovative single framework that integrates the concept of international reserves and foreign currency liquidity by covering data on on-balance-sheet and off-balance-sheet international financial activities of country authorities as well as supplementary information. It aims to provide a comprehensive account of official foreign currency assets and drains on such resources arising from various foreign/domestic currency liabilities and commitments of the authorities.
      • Июнь 2013
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 22 июля, 2013
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        Time series on international reserves (including gold), by individual country, expressed in millions of dollars. It further presents the number of months of merchandise imports that these reserves could finance at current imports level, as well as annual changes in total reserves.
      • Март 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 25 марта, 2016
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        Re-dissemination of IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar).
      • Март 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 18 апреля, 2016
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        Re-dissemination of IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar).
      • Декабрь 2016
        Источник: Federal Communications Commission
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2017
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      • Ноябрь 2016
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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        As a United Nations agency, the ITU has an obligation to identify, define, and produce statistics covering its sector - the telecommunication/ICT sector. This is in line with other specialized agencies that publish statistics covering their respective field of operations and forms part of the global statistical system of the UN. The collection of over 100 telecommunication/ICT indicators is one of the main activities of the unit. The ITU's Market Information and Statistics (STAT) Division collects its Telecommunication/ICT data directly form governments by means of an annual questionnaire that is sent to the government agency in charge of telecommunications/ICT. This is usually the Ministry or the regulatory agency. The STAT Division verifies and harmonizes data, carries out research, and collects missing values from government web sites and operators' annual reports, particularly for countries that do not reply to the questionnaire. Market research data are also used to cross-check and complement missing values.
      • Март 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 апреля, 2017
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        The International Trade (MEI) dataset contains predominantly monthly merchandise trade statistics, and associated statistical methodological information, for the 34 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.
      • Август 2016
        Источник: German Chemicals Industry Association
        Загружен: Knoema
        Дата обращения к источнику: 26 января, 2017
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        Source: From PDF Page No: 120 to 173
      • Июль 2016
        Источник: International Transport Forum
        Загружен: Knoema
        Дата обращения к источнику: 29 ноября, 2016
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        The International Traffic Safety Data and Analysis Group (IRTAD) is a permanent working group of the Joint Transport Research Centre of the OECD and the International Transport Forum. It is composed of road safety experts and statisticians from renowned safety research institutes, national road and transport administrations, international organisations, universities, automobilist associations, car automobile industry, and others from OECD and non OECD countries. Its main objectives are to contribute to international co‐operation on road accident data and its analysis.
      • Сентябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 февраля, 2017
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        1 paragraph of text from section "Data source(s) used" and 1 paragraph from section"Variables collected" of the source web page
      • Октябрь 2015
        Источник: Water FootPrint Network
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2015
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      • Март 2016
        Источник: U.S. Federal Bureau of Investigation
        Загружен: Knoema
        Дата обращения к источнику: 27 сентября, 2016
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        The mission of the Internet Crime Complaint Center (IC3) is to provide the public with a reliable and convenient reporting mechanism to submit information to the FBI concerning suspected Internet-facilitated criminal activity and to develop effective alliances with industry partners. Information is processed for investigative and intelligence purposes for law enforcement and public awareness.
      • Ноябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 24 ноября, 2016
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        Internet users are individuals who have used the Internet (from any location) in the last 12 months. Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
      • Декабрь 2012
        Источник: Internet World Stats
        Загружен: Knoema
        Дата обращения к источнику: 11 сентября, 2013
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        Internet World Stats is an International website that features up to date world Internet Usage, Population Statistics, Travel Stats and Internet Market Research Data, for over 233 individual countries and world regions.
      • Июнь 2012
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 28 июля, 2015
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        The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
      • Ноябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Data are collected directly from countries using a FAO questionnaire, which was developed in partnership with the International Monetary Fund, as the IMF collects global data on government expenditures and is the international organization responsible for developing guidelines on the Classification of Functions of Government (COFOG). The FAO questionnaire obtains additional detail relevant to Agriculture and Rural Development not available from the IMF questionnaire. The FAO dataset consists of a time series, from 2000 onwards, of government expenditures in terms of expenditures in: (1) Total; (2) Economic affairs; (3) Agriculture, Forestry, Fishing and Hunting, along with its three dis aggregated sub sectors of Agriculture, Forestry and Fishing; and 4) Environmental Protection. In addition, expenditures in each detailed function are further disaggregated into recurrent and capital expenditures, the latter of which serves as a proxy for expenditures in investment goods. Additional indicators include the total share of government expenditures allocated to agriculture, and an agriculture orientation index (ratio of the total share of government expenditures to agriculture, over the total share of GDP from agricultural value-added). Though the goal is to have complete and consistent coverage for all countries, relatively low response rates for this new domain and country level differences in data collection and reporting creates some challenges in providing a complete and consistent global dataset.
      • Август 2014
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        FAOSTAT database on Agriculture Machinery provides statistical series on Agricultural Machinery and Equipment statistical series referring to the following items: tractors, harvesters and threshers, irrigation pumps, milking machines, hand tools, and soil machines. The database includes estimates of agriculture machinery in use and value of import and export of agriculture machinery.
      • Декабрь 2006
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 декабря, 2016
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      • Декабрь 2015
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 25 марта, 2016
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        This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
      • Февраль 2016
        Источник: International Transport Forum
        Загружен: Knoema
        Дата обращения к источнику: 05 июня, 2016
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        The International Transport Forum Statistics on Investment and Maintenance in Transport Infrastructure 1992-2010 are based on an annual targeted survey sent to 52 member countries. The survey covers total gross investment in road, rail, inland waterways, maritime ports and airports, including all sources of financing as well as maintenance expenditures financed by public Administrations.
      • Ноябрь 2016
        Источник: Investment Company Institute
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 ноября, 2016
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        This table contains data on involuntary part-time workers by professional status. Data are broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55+, total).Involuntary part-time workers are part-timers (working less than 30-usual hours per week) because they could not find a full-time job. However, the definitions are not harmonised which hampers the comparison across countries.Unit of measure used - Data are expressed in thousands of persons
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 15 июля, 2016
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        This table contains figures on the activity of affiliates under foreign control and all firms by industry according to the International Standard Industrial Classification (ISIC Revision 4).
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 15 июля, 2016
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        This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
      • Август 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2016
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        The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 ноября, 2016
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        This table contains information on foreign direct investment (FDI) inflows and outflows by individual country, geographical region and economic grouping, expressed in millions of dollars. Additional calculations present: FDI world shares, FDI values per capita, and FDI percentage ratios with respect to GDP, gross fixed capital formation (GFCF), and total exports and imports of merchandise and services. This table also contains information on foreign direct investment (FDI) inward and outward stock by individual country, geographical region and economic grouping, expressed in millions of dollars, as FDI world shares, as FDI values per capita, and as FDI percentage ratios with respect to GDP
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The IPP.Stat is the statistics portal of the Innovation Policy Platform containing the main available indicators relevant to a country’s innovation performance. In addition to the traditional indicators used to monitor innovation, the range of the coverage to be found in the IPP.Stat calls for the inclusion of indicators from other domains that describe the broader national and international context in which innovation occurs. Indicators are sourced primarily from the OECD and the World Bank, as well as from other sources of comparable quality. The statistics portal is still under development.
      • Декабрь 2015
        Источник: Ipsos Mori
        Загружен: Knoema
        Дата обращения к источнику: 08 августа, 2016
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        • These are the findings of the Ipsos Perils of Perception Survey. 25,556 interviews were conducted between October 1st – October 16th 2015.• The survey was conducted in 33 countries around the world. The following countries used the Ipsos Online Panel system: Argentina, Australia, Belgium, Brazil, Canada, Chile, China, Colombia, France, Germany, Hungary, India, Israel, Italy, Japan, Mexico, Netherlands, New Zealand, Norway, Peru, Poland, Russia, Saudi Arabia, South Africa, South Korea, Spain, Sweden, Great Britain, Turkey and the United States of America. In Ireland a telephone (CATI) methodology was used. In Serbia and Montenegro a face-to-face (CAPI) methodology was used.• Approximately 1000+ individuals were surveyed in Australia, Brazil, Canada, China, France, Germany, Ireland, Italy, Japan, Serbia, Spain, Great Britain Montenegro, the Netherlands, Sweden, Norway and the United States of America. Approximately 500+ individuals were surveyed in the remaining countries.• Where results do not sum to 100, this may be due to computer rounding, multiple responses or the exclusion of don't knows or not stated responses.• Data are weighted to match the profile of the population.• For a full list of sources of actual data, please see - https://www.ipsos-mori.com/_assets/sri/perils/
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        Exchange rates Numbers that are presented in this dataset are those used by the OECD to convert national data: For countries sending data in national currency, the factor used to convert data is an annual exchange rate, built on an average of IMF monthly exchange rates weighted by the monthly trade value of imports and exports. Therefore exchange rates can differ between members of the Eurozone. For countries sending data in USD, the conversion factor is 1. They must be used as an indication and not as an exchange rates.The annual rates are also available (by clicking on the red i) but are not calculated using a trade weight. European Union Currency: The national exchange rates for the euro area countries have been converted into Euro. The option chosen by OECD is to convert exchange rates for periods prior ton entry into European Monetary Union. It means: Prior to 1999 for Austria, Belgium, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherland, Portugal, Spain Prior to 2001 for Greece Prior to 2007 for Slovenia Prior to 2009 for Slovakia Prior to 2011 for Estonia
    • J
      • Март 2017
        Источник: Japan HAM&SAUSAGE Processors Cooperative Association
        Загружен: Knoema
        Дата обращения к источнику: 06 апреля, 2017
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        Statistics about processed meat products in Japan. The data includes production volume, imports, delivered volume, etc. (Japanese only)
      • Декабрь 2016
        Источник: Agriculture & Livestock Industries Corporation
        Загружен: Knoema
        Дата обращения к источнику: 13 января, 2017
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        Japan : Livestock and Livestock Products, October 2016
      • Январь 2017
        Источник: Ministry of Agriculture, Forestry and Fisheries, Japan
        Загружен: Knoema
        Дата обращения к источнику: 31 января, 2017
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        Japan : Production, Marketing, Consumption and Price of Agricultural, Forestry and Fishery Products.
      • Январь 2017
        Источник: Agriculture & Livestock Industries Corporation
        Загружен: Knoema
        Дата обращения к источнику: 24 января, 2017
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        Japan : Starch Supply and Demand, 2017
      • Октябрь 2016
        Источник: Agriculture & Livestock Industries Corporation
        Загружен: Knoema
        Дата обращения к источнику: 18 октября, 2016
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        Japan : Sugar Supply and Demand Balance, September 2016
      • Сентябрь 2016
        Источник: Ministry of Economy, Trade and Industry of Japan
        Загружен: Knoema
        Дата обращения к источнику: 20 сентября, 2016
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        Annual Report 2014 Petroleum Data in Japan. Natural Gas and Crude Oil (Annual Comodities: Production, Shipment and Inventory).
      • Март 2011
        Источник: Japan External Trade Organization
        Загружен: Knoema
        Дата обращения к источнику: 22 августа, 2016
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        Market Reports Analytical reports on Japanese sectors categorized by industries and report titles. Section covers a wide range of products, services, business and industrial environments, regional enterprises, current market trends and more, with case studies and advice on market entry.
      • Декабрь 2015
        Источник: Japanese Shipowners' Association
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2016
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        Yearly directory of statistics published by Japanese Shipowners' Association (JSA) with a variety of shipping facts in Japan.
      • Март 2017
        Источник: Joint Organisations Data Initiative
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2017
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        The JODI-Gas World Database is a platform that provides access to all data reported through monthly submissions of the JODI-Gas Questionnaire by all participating countries and economies. The database is updated on a monthly basis around the 20th of each month, though there are possibilities for additional updates. Registered users are notified by e-mail alert each time the database is updated. Modelled after JODI-Oil, which features monthly oil production, consumption, stocks and trade data from over 90 countries, JODI-Gas embodies the same objective of enhancing energy data transparency, with the ultimate goal of ensuring global energy security for producers and consumers alike. JODI-Gas World Database covers: Three product categories: Natural gas in million m3 Natural gas in TJ LNG in 1000 tons Twelve flows: Production Receipts from Other Sources Total Imports LNG Total Exports LNG Total Imports through Pipeline Total Exports through Pipeline Stock Change Gross Inland Deliveries (Calculated) Statistical Difference (Calculated) Gross Inland Deliveries (Observed) Of which: Electricity and Heat Generation Closing Stocks; Data for around 80 participating countries. Historical data from January 2009: target is to release one month old data (M-1) every month for all participating countries.
      • Февраль 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 20 марта, 2017
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        The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
    • K
      • Январь 2011
        Источник: United Nations Office on Drugs and Crime
        Загружен: Karolina Kalkowska
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      • Январь 2011
        Источник: United Nations Office on Drugs and Crime
        Загружен: Karolina Kalkowska
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      • Январь 2012
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 26 августа, 2013
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        The World Bank’s Knowledge Assessment Methodology (KAM: www.worldbank.org/kam) is an online interactive tool that produces the Knowledge Economy Index (KEI)–an aggregate index representing a country’s or region’s overall preparedness to compete in the Knowledge Economy (KE). The KEI is based on a simple average of four subindexes, which represent the four pillars of the knowledge economy:  Economic Incentive and Institutional Regime (EIR)  Innovation and Technological Adoption  Education and Training  Information and Communications Technologies (ICT) Infrastructure The EIR comprises incentives that promote the efficient use of existing and new knowledge and the flourishing of entrepreneurship. An efficient innovation system made up of firms, research centers, universities, think tanks, consultants, and other organizations can tap into the growing stock of global knowledge, adapt it to local needs, and create new technological solutions. An educated and appropriately trained population is capable of creating, sharing, and using knowledge. A modern and accessible ICT infrastructure serves to facilitate the effective communication, dissemination, and processing of information.
    • L
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 декабря, 2016
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      • Декабрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 марта, 2017
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        Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both: a physical "milieu" necessary for the development of natural vegetation as well as cultivated vegetation; a resource for human activities. The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land). Land area excludes area under inland water bodies (i.e. major rivers and lakes). Arable refers to all lan generally under rotation, whether for temporary crops (double-cropped areas are counted only once) or meadows, or left fallow (less than five years). These data are not meant to indicate the amount of land that is potentially cultivable. Permanent crops are those that occupy land for a long period and do not have to be planted for several years after each harvest (e.g. cocoa, coffee, rubber). Land under vines and trees and shrubs producing fruits, nuts and flowers, such as roses and jasmine, is so classified, as are nurseries (except those for forest trees, which should be classified under "forests and other wooded land"). Arable and permanent crop land is defined as the sum of arable area and land under permanent crops. Permanent meadows and pastures refer to land used for five years or more to grow herbaceous forage crops, either cultivated or growing wild (wild prairie or grazing land). Forest refers to land spanning more than 0.5 hectare (0.005 km2) and a canopy cover of more than 10 percent, or trees able to reach these thresholds in situ. This includes land from which forests have been cleared but that will be reforested in the foreseeable future. This excludes woodland or forest predominantly under agricultural or urban land use and used only for recreation purposes. Other areas include built-up and related land, wet open land, and dry open land, with or without vegetation cover. Areas under inland water bodies (rivers and lakes) are excluded. The definitions used in different countries may show variations.
      • Ноябрь 2013
        Источник: Lao Statistics Bureau
        Загружен: Knoema
        Дата обращения к источнику: 13 декабря, 2013
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        Lao PDR Regional Statistics, 2013
      • Декабрь 2016
        Источник: Legatum Institute
        Загружен: Knoema
        Дата обращения к источнику: 06 февраля, 2017
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        The Prosperity Index is the only global measurement of national success based on both income and wellbeing. Our econometric analysis has identified 89 variables, which are spread across eight sub-indices. By measuring prosperity holistically we are able to identify and analyse the specific factors that contribute to the success of a country.
      • Июль 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 октября, 2016
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        The productivity and income estimates presented in this dataset are mainly based on GDP, population and employment data from the OECD Annual National Accounts. Hours worked are sourced from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, timely data issues may arise and affect individual series and/or individual countries. In particular, annual hours worked estimates from the OECD Employment Outlook are typically updated less frequently (once a year, in the summer) than series of hours worked from the OECD Annual National Accounts.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 ноября, 2016
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        This table contains labour force data on labour market status - population, labour force, unemployment and employment - by sex and by detailed age groups and standard age groups (15-24, 25-54, 55-64, 65+, total). Note: Population figures reported in table LFS by sex are Census-based, while the data for this table are taken from labour force surveys. Population for total age group refers to working age population (15 to 64 years).
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2016
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        This table contains the age composition (as a percentage of all ages) of the population for each labour force status - labour force, employment, unemployment - by sex. Unit of measure used - Data are expressed as percentages.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 ноября, 2016
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          This table contains data on labour force participation rates, employment/population ratios and unemployment rates for both the total labour force and civilian labour force by sex. There are data for both the total age group and the working age population (ages 15 to 64). This table also contains data on the share of civilian employment by sex.
      • Апрель 2017
        Источник: Bank for International Settlements
        Загружен: Knoema
        Дата обращения к источнику: 26 апреля, 2017
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        Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty
      • Март 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 13 октября, 2016
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        The Logistics Performance Index overall score reflects assessments of a country's logistics based on efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2011 round of surveys covered more than 6,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluated eight markets on six core dimensions using a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Connecting to Compete 2012: Trade Logistics in the Global Economy (2012).
      • Июнь 2015
        Источник: United Nations Economic Commission for Europe
        Загружен: Knoema
        Дата обращения к источнику: 20 октября, 2015
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      • Июнь 2015
        Источник: United Nations Economic Commission for Europe
        Загружен: Knoema
        Дата обращения к источнику: 20 октября, 2015
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    • M
      • Август 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
      • Январь 2017
        Источник: Department of Statistics, Malaysia
        Загружен: Knoema
        Дата обращения к источнику: 06 февраля, 2017
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      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 30 декабря, 2016
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        GHG emissions from manure applied to soils consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) added to agricultural soils by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the application site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding and market) and turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and activity data (N content in manure) are also provided.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 февраля, 2017
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        GHG emissions from manure left on pastures consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) left on pastures by grazing livestock. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as direct, indirect and total Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and N content in manure are also provided.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2014
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        The Maritime Transport Costs (MTC)database contains data from 1991 to the most recent available year of bilateral maritime transport costs. Transport costs are available for 43 importing countries (including EU15 countries as a custom union) from 218 countries of origin at the detailed commodity (6 digit) level of the Harmonized System 1988. This dataset should only be used in conjunction with the paper Clarifying Trade Costs in Maritime Transport which outlines methodology, data coverage and caveats to its use. Key Statistical Concept Import charges represent the aggregate cost of all freight, insurance and other charges (excluding import duties) incurred in bringing the merchandise from alongside the carrier at the port of export and placing it alongside the carrier at the first port of entry in the importing country. Insurance charges are therefore included in the transport cost variables and are estimated to be approximately 1.5% of the import value of the merchandise.
      • Август 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 13 марта, 2017
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        The data presented come from the OECD pilot database on material flows, and from other national and international sources. The definitions used are based on the OECD Guide «Measuring material flows and resource productivity» and on ongoing international work on material flow accounting and analysis (MFA). It should be born in mind that the data should be interpreted with caution and that the time series presented here may change in future as work on methodologies for MF accounting progresses. Furthermore, data contain rough estimates for OECD and BRIICS aggregates. These data refer to material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers. The use of materials in production and consumption processes has many economic, social and environmental consequences. These consequences often extend beyond the borders of countries or regions, notably when materials are traded internationally, either in the form of raw materials or as products embodying them. They differ among the various materials and among the various stages of the resource life cycle (extraction, processing, use, transport, end-of-life management). From an environmental point of view these consequences depend on:the rate of extraction and depletion of renewable and non-renewable resource stocksthe extent of harvest and the reproductive capacity and natural productivity of renewable resourcesthe associated environmental burden (e.g. pollution, waste, habitat disruption), and its effects on environmental quality (e.g. air, water, soil, biodiversity, landscape) and on related environmental services These data inform about physical flows of material resources at various levels of detail and at various stages of the flow chain. The information shows: a) the material basis of economies and its composition by major material groups, considering:the extraction of raw materials;the trade balance in physical terms;the consumption of materials;the material inputs b) the consumption of selected materials that are of environmental and economic significance. c) in-use stocks of selected products that are of environmental and economic significance. Domestic extraction used (DEU) refers to the flows of raw materials extracted or harvested from the environment and that physically enter the economic system for further processing or direct consumption (they are used by the economy as material factor inputs). Unused domestic extraction (UDE) exclude excavated soil for construction purposes and soil erosion from agricultural land. The main reason is that excavated soil is commonly not reported in statistics, and estimation methods are not well developed. Imports (IMP) and exports (EXP) are major components of the direct material flow indicators DMI (domestic material input) and DMC (domestic material consumption). They cannot be taken as indication of domestic resource requirements. Indirect flows of imports and exports (IFIMP and IFEXP) indicate the magnitude of global primary materials resource requirements associated with these flows. They thus indicate a generic environmental pressure caused by foreign resource requirements The physical trade balance (PTB) refers to the trade surplus or deficit of an economy, which is defined as imports minus exports of raw materials and manufactured products. Domestic material consumption (DMC) refers to the amount of materials directly used in an economy, which refers to the apparent consumption of materials. DMC is computed as DEU minus exports plus imports. Domestic material input (DMI) is computed as DEU plus imports. Total material requirements (TMR) is computed as DMI plus indirect flows of imports (IFIMP) plus UDE Total material consumption (TMC) is computed as DMC plus UDE plus physical trade balance of indirect flows (IFPTB) Total Material Requirement (TMR) and Total Material Consumption (TMC) exclude the components of (domestic) earth/soil excavation and dredging, and the (domestic) soil erosion from agricultural land. The material groups are: Food: food crops (e.g. cereals, roots, sugar and oil bearing crops, fruits, vegetables), fodder crops (including grazing), wild animals (essentially marine catches), small amounts of non-edible biomass (e.g. fibres, rubber), and related products including livestock. Wood: harvested wood and traded products essentially made of wood (paper, furniture, etc.). Construction minerals: non-metallic construction minerals whether primary (e.g. sand, gravel, stones, limestone, excavated soil if used) or processed (e.g. glass, cement, concrete). Industrial minerals: non-metallic industrial minerals whether primary or processed (e.g. salts, arsenic, potash, phosphate rocks, sulphates, asbestos). Metals: metal ores, metals and products mainly made of metals. Fossil fuel: coal, crude oil, natural gas a,d peat, as well as manufactured products predominantly made of fossil fuels (e.g. plastics, synthetic rubber).
      • Декабрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 08 декабря, 2015
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      • Декабрь 2016
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 09 января, 2017
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        Measuring the information society report presents a global overview of the latest developments in information and communication technologies (ICTs), based on internationally comparable data and agreed methodologies. It aims to stimulate the ICT policy debate in ITU Member States by providing an objective assessment of countries’ performance in the field of ICT and by highlighting areas that need further improvement. The ICT Development Index (IDI) is a composite index that combines 11 indicators into one benchmark measure. It is used to monitor and compare developments in information and communication technology (ICT) between countries and over time. The IDI is divided into the following three sub-indices, and a total of 11 indicators: Access sub-index: This sub-index captures ICT readiness, and includes five infrastructure and access indicators (fixed-telephone subscriptions, mobile-cellular telephone subscriptions, international Internet bandwidth per Internet user, households with a computer, and households with Internet access). Use sub-index: This sub-index captures ICT intensity, and includes three intensity and usage indicators (individuals using the Internet, fixed broadband subscriptions, and mobile-broadband subscriptions). Skills sub-index: This sub-index seeks to capture capabilities or skills which are important for ICTs. It includes three proxy indicators (mean years of schooling, gross secondary enrolment, and gross tertiary enrolment). As these are proxy indicators, rather than indicators directly measuring ICT-related skills, the skills sub-index is given less weight in the computation of the IDI than the other two sub-indices. The data has been normalized to ensure that the data set uses the same unit of measurement. The values for the indicators selected to construct the IDI are converted into the same unit of measurement, since some indicators have maximum value as 100 whereas for other indicators the maximum value exceeds 100 After normalizing the data, the individual series were all rescaled to identical ranges, from 1 to 10.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 марта, 2017
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        This Dataset provides information on number of exported/imported products, concentration and diversification indices by country. The concentration index shows how exports and imports of individual countries or group of countries are concentrated on several products or otherwise distributed in a more homogeneous manner among a series of products. The diversification index signals whether the structure of exports or imports by product of a given country or group of countries differ from the structure of product of the world.1. Concentration index:Concentration index, also knows as Herfindahl-Hirschmann Index (Product HHI), is a measure of the degree of product concentration. An index value closer to 1 indicates a country's exports or imports are highly concentrated on a few products. On the contrary, values closer to 0 reflect exports or imports are more homogeneously distributed among a series of products.2. Diversification index:The diversification index is computed by measuring the absolute deviation of the trade structure of a country from world structure. The diversification index takes values between 0 and 1. A value closer to 1 indicates greater divergence of export and import from the world pattern. On the contrary closer to 0 indicates no divergence from the world pattern.
      • Сентябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 апреля, 2017
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        This table shows the value of total merchandise exports and imports by individual country, geographical region, economic grouping and trade group, expressed in millions of dollars and as a percentage of the world total.
      • Январь 2015
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 23 апреля, 2015
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        This table presents merchandise trade complementarity index which assesses the suitability of preferential trade agreement between two economies given the structure of one potential partners’ exports match the imports of the other potential partner. Changes over time may indicate whether the trade profiles are becoming more or less compatible.
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 29 декабря, 2016
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        This table presents merchandise trade by product based on SITC, Rev.3 commodity classification (the most detailed level is three digit), expressed in thousands of dollars
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        This table presents merchandise trade by product based on SITC, Rev.3 commodity classification (the most detailed level is three digit), expressed in thousands of dollars
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 09 декабря, 2016
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        This table presents merchandise trade by trading partner expressed in thousands of dollars
      • Сентябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 02 ноября, 2016
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        Data on the world merchant fleet by flag of registration and by type of ship, highlighting the group of major open-registry countries. Data are presented in thousands of dead-weight tons (DWT), as world shares, and as percentages of a ship-type in an economy's fleet. Dead weight tonnage is a measure of how much vessels can transport.
      • Январь 2017
        Источник: Gobierno
        Загружен: Knoema
        Дата обращения к источнику: 04 января, 2017
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        Foreign Direct Investment (FDI) flows to Mexico, by country of origin, type of investment, economic sector and by state, by economic activity destination. FDI as a percentage of gross fixed capital formation. Unit: USD millions. Frequency: Quarterly. 1999-2016.
      • Январь 2015
        Источник: Right Diagnosis
        Загружен: Knoema
        Дата обращения к источнику: 04 февраля, 2016
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      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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        Migration and Remittances Factbook 2015 provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources. Please note, 2016 for INWARD is an estimate.
      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 17 ноября, 2016
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        Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.  
      • Июль 2013
        Источник: U.S. Geological Survey
        Загружен: Knoema
        Дата обращения к источнику: 21 августа, 2013
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        The USGS Mineral Resources Program (MRP) provides scientific information for objective resource assessments and unbiased research results on mineral potential, production, consumption, and environmental effects. The MRP is the sole Federal source for this information.
      • Январь 2017
        Источник: Numbeo
        Загружен: Knoema
        Дата обращения к источнику: 31 января, 2017
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        Price Rankings by Country/City, Markets : Water 1.5 liter bottle
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2016
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        For cross-country comparisons, data on minimum wage levels are further supplemented with another measure of minimum wages relative to average wages, that is, the ratio of minimum wages to median earnings of full-time employees. Median rather than mean earnings provide a better basis for international comparisons as it accounts for differences in earnings dispersion across countries. However, while median of basic earnings of full-time workers - i.e. excluding overtime and bonus payments - are, ideally, the preferred measure of average wages for international comparisons of minimum-to-median earnings, they are not available for a large number of countries. Minimum relative to mean earnings of full-time workers are also provided.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 ноября, 2016
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        This dataset contains statutory and national minimum wages in place in 25 OECD Member countries, Latvia, Lithuania, Malta and Romania. Data are reported in national currency units, at current prices and for different pay periods - hourly, daily, weekly, monthly -- reflecting differences across countries.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 ноября, 2016
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        These tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2016 monitors agricultural policy developments in OECD member countries, and nine emerging economies: Brazil, China, Colombia, Indonesia, Kazakhstan, Russia, South Africa, Ukraine and Viet Nam. The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s agricultural policy monitoring and evaluation.
      • Март 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 марта, 2017
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        This dataset contains monthly Comparative Price Levels (CPL) for OECD countries. CPLs are defined as the ratios of PPPs for private final consumption expenditure to exchange rates. They provide measures of differences in price levels between countries. The monthly PPPs used to derive the table are OECD estimates. The table is to be read vertically. Each column shows the number of specified monetary units needed in each of the countries listed to buy the same representative basket of consumer goods and services. In each case the representative basket costs a hundred units in the country whose currency is specified. Let’s take an example. If you are a Canadian citizen and you want to know the price level in Canada when compared to other countries, you have to look at the column Canada, where the price level is set at 100 for the whole column. If you have 120 for Finland, it means that the price level in Finland is 20% higher than in Canada. It means that you would spend 120 dollars in Finland to buy the same basket of goods and services when you spend 100 in Canada.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 ноября, 2016
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        This table presents most favoured nation (MFN) and effectively applied import tariff rates for major categories of non-agricultural and non-fuel products by individual country (as market economies) and economic grouping (as origins), expressed in various aggregation measures: simple average, weighted average, minimum and maximum rate, etc.
      • Февраль 2016
        Источник: Pew Research Center
        Загружен: Knoema
        Дата обращения к источнику: 05 февраля, 2016
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        Notes : 2010 is Estimated Population, 2030 is Projected Population.
    • N
      • Февраль 2014
        Источник: National Institute of Statistics and Censuses, Costa Rica
        Загружен: Knoema
        Дата обращения к источнику: 10 марта, 2014
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        Naional Accounts of Costa Rica, 2014
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 октября, 2016
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        It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries. Gross fixed capital formation is also available broken down by type of assets. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 февраля, 2017
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        It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries according to the classification ISIC rev.4. Gross fixed capital formation is also available broken down by type of assets. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2005). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 ноября, 2016
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        It presents fixed assets by activity according to the classification ISIC rev.3 and by type of product and by type of assets.  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 ноября, 2016
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        It presents the balance sheets for non financial assets by institutional sectors, for both produced assets (fixed assets, inventories, valuables) and non-produced assets (tangible and intangible).  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
      • Декабрь 2016
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 10 февраля, 2017
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        The Economic Statistics Branch of the United Nations Statistics Division maintains this National Accounts Statistics database of main national accounts aggregates. It is the product of a global cooperation effort between the United Nations Statistics Division, international statistical agencies and the national statistical services of more than 200 countries and is in accordance with the request of the Statistical Commission that the most recent available data on national accounts of as many countries and areas as possible be published and disseminated regularly. This National Accounts Statistics database contains a complete and consistent set of time series from 1970 onwards of main national accounts aggregates for allUN Members States and all other countries and areas in the world. It is maintained and updated on the basis of annual collections of the official annual national accounts statistics supplemented by estimates of national accounts statistics for those years and countries for which the official statistics has incomplete or inconsistent information. In addition, to the values of national accounts statistics, it contains analytical indicators and ratios derived from the main national accounts aggregates related to economic structure and development.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 июля, 2016
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      • Ноябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        The "National CPI Weights" dataset contains the annual expenditure weights for the national CPI for the OECD Member countries at a detailed level of the COICOP classification (except Australia and Korea). The weight of a product in a CPI is the proportion of total household expenditure which is spent on that product during the weight reference period.
      • Декабрь 2015
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 16 июня, 2016
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        National Health Accounts (NHA) provides evidence to monitor trends in health spending for all sectors- public and private, different health care activities, providers, diseases, population groups and regions in a country. It helps in developing nationals
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 29 июня, 2016
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        National landings in domestic ports
      • Декабрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 ноября, 2016
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        The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source. The OECD, a partner with the CWP, additionaly collects information on values for its landings and records the breakdown between the types of landings (i.e. landings in domestic ports, landings in foreign ports) data series which are not collected by the FAO. While a number of countries cover landings in a similar fashion, the same does not hold true for capacity (feet/meters, GRT/engine powers), or for employment for which both Full-time equivalents or numbers of people are used. The OECD therefore does not duplicate FAO statistics but requests complementary information to feed its analytical work.  
      • Октябрь 2015
        Источник: Water FootPrint Network
        Загружен: Knoema
        Дата обращения к источнику: 26 октября, 2015
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      • Декабрь 2016
        Источник: Multiple Sources
        Загружен: Knoema
        Дата обращения к источнику: 31 марта, 2017
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      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 мая, 2014
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        Eurostat Dataset Id:educ_bo_ac_ent2 The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening access educ_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age B. Study framework educ_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education C. Student and staff mobility educ_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country) D. Effective outcomes and employability educ_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A   The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities: Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Июнь 2015
        Источник: McAfee
        Загружен: Knoema
        Дата обращения к источнику: 18 сентября, 2015
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        Cybercrime is a growth industry. The returns are great, and the risks are low. We estimate that the likely annual cost to the global economy from cybercrime is more than $400 billion.1 A conservative estimate would be $375 billion in losses, while the maximum could be as much as $575 billion. Even the smallest of these figures is more than the national income of most countries and governments and companies underestimate how much risk they face from cybercrime and how quickly this risk can grow.
      • Сентябрь 2006
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 сентября, 2014
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        New entrants to a level of education are students who are entering any programme leading to a recognised qualification at this level of education for the first time, irrespective of whether the students enter the programme at the beginning or at an advanced stage of the programme. Individuals who are returning to study at a level following a period of absence from studying at that same level are not considered to be new entrants. Foreign students who are enrolling for the first time in the country for which the data are reported are counted as new entrants, regardless of their previous education in other countries.
      • Декабрь 2010
        Источник: Friedrich Schneider
        Загружен: Knoema
        Дата обращения к источнику: 13 июля, 2012
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        Source: Schneider, Friedrich , Buehn, Andreas and Montenegro, Claudio E.(2010) 'New Estimates for the Shadow Economies all over the World', International Economic Journal, 24: 4, 443-461. This dataset presents estimations of the shadow economies for 162 countries, including developing, Eastern European, Central Asian, and high income OECD countries over 1999 to 2006/2007.
      • Январь 2013
        Источник: Maddison Project
        Загружен: Knoema
        Дата обращения к источнику: 20 октября, 2015
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        The Maddison Project has launched an updated version of the original Maddison dataset in January 2013. The update incorporates much of the latest research in the field, and presents new estimates of economic growth in the world economic between AD 1 and 2010. The new estimates are presented and discussed in Bolt and Van Zanden (2014). The Maddison Project: collaborative research on historical national accounts. The Economic History Review, 67 (3): 627–651.
      • Октябрь 2013
        Источник: Statistics New Zealand
        Загружен: Knoema
        Дата обращения к источнику: 13 ноября, 2013
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        New Zealand Regional Stastics, 2013
      • Октябрь 2013
        Источник: Statistics New Zealand
        Загружен: Knoema
        Дата обращения к источнику: 13 ноября, 2013
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        New Zealand National Accounts, 2013
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 04 декабря, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 04 декабря, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Июль 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 декабря, 2016
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        The following institutional sectors are covered: - Total economy (S1) - Non-financial corporations (S11) - Financial corporations (S12) - General government (S13) - Households and Non-profit institutions serving households (S14_S15) - Rest of the world (S2) The dataset on Quarterly Sector Accounts data presents the whole set of non financial accounts for the institutional sectors. It includes the following accounts: - Production account / External account of goods and services - Generation of income account - Allocation of primary income account - Secondary distribution of income account - Use of disposable income account - Change in net worth due to saving and capital transfers accounts - Acquisitions of non-financial assets account These accounts are designed to produce accounting balances that are of particular interest for economic analysis such as value added, operating surplus, saving or net lending/net borrowing. Quarterly Sector Accounts data have been reported to the OECD by Member countries using a standard questionnaire (simplified table T0119 or detailed table T0801). These questionnaires are designed to collect internationally comparable data according to definitions and concepts presented in the 1993 System of National Accounts (SNA 1993)/1995 European System of Accounts (ESA 1995): Unit of measure used - Statistics are reported at current prices, in millions of national currency. Annual data are derived as the sum of the quarters for the calendar year.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 ноября, 2016
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        It presents the whole set of non financial accounts, from the production account to the acquisitions of non-financial assets accounts.For general government sector, property income, other current transfers and capital transfers are consolidated..
    • O
      • Ноябрь 2016
        Источник: Ocean Health Index
        Загружен: Knoema
        Дата обращения к источнику: 03 января, 2017
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        Ocean Health Index, 2016
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 30 марта, 2017
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        The OECD's quarterly national accounts (QNA) dataset presents data collected from all the OECD member countries and some other major economies on the basis of a standardised questionnaire as well as countries' own definitions and classifications. It contains a wide selection of generally seasonally adjusted quarterly series most widely used for economic analysis from 1960 or whenever available.   Note: The base year for some indicators, which are associated with reference year, have been kept constant because the base year changes country wise in source.(Base year ranges from 1995-2013) Reference year has changed for OECD from 2005 to 2010
      • Март 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 13 марта, 2014
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        In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2005) - and for comparative purposes in US $ current prices and constant prices (using exchange rate and PPPs). Expressed in millions and in indices. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2016
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      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 апреля, 2016
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      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 октября, 2016
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        These tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2016 monitors agricultural policy developments in OECD member countries, and nine emerging economies: Brazil, China, Colombia, Indonesia, Kazakhstan, Russia, South Africa, Ukraine and Viet Nam. The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s agricultural policy monitoring and evaluation.
      • Сентябрь 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 июля, 2016
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        These tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2012 : OECD COUNTRIES. They comprise the summary of agricultural support estimates for OECD countries.
      • Февраль 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
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        The data presented here refer to the latest year available, which corresponds to the late 2000s for most countries. The data on the state of threatened species build on country replies to the Annual Quality Assurance (AQA) of OECD environmental reference series. These data are harmonised through the work of the OECD Working Party on Environmental Information (WPEI). Some where updated or revised on the basis of comments from national Delegates and in the framework of the OECD Environmental Performance Reviews. When interpreting these data, it should be borne in mind that the number of species known does not always accurately reflect the number of species in extistence and that varying definitions can limit comparability accross countries. The data presented here show numbers of known species and threatened species with the aim of indicating the state of mammals, birds, freshwater fish, reptiles, amphibians and vascular plants.
      • Февраль 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
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        This dataset covers the uses of wildlife resources and related pressures from human activities: fish production; catches of fish and other aquatic animals and products and the management of wildlife resources: biosphere reserves and wetlands of international importance; major protected areas.
      • Ноябрь 2008
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
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        Dataset provides information on selected economic aspects of environmental management. It includes tables on expenditure, which help to identify the financial consequences of environmental policies: public and private pollution abatement and control expenditure; public research and development financing for environmental protection; official development assistance, including aid in support of environment. Dataset also includes data concerning revenues from environmentally-related taxes.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 августа, 2014
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        As countries are increasingly using a wide range of policy measures to address agri-environmental issues, indicators provide crucial information to monitor and analyse the effects of those policies on the environment. They can also help the understanding and analysis of the environmental effects of future policy scenarios and agricultural projections. To help improve measurement of the environmental performance of agriculture, OECD has established a set of agri-environmental indicators, with development of the indicators in cooperation with Eurostat and FAO. These indicators inform policy makers and society on the state and trends in agri-environmental conditions, and can provide a valuable aid to policy analysis.
      • Апрель 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 мая, 2014
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        Foreign direct investment reflects the objective of obtaining a lasting interest by a resident entity in one economy (‘‘direct investor'') in anentity resident in an economy other than that of the investor (‘‘direct investment enterprise''). The lasting interest implies the existence of a long-term relationship between the direct investor and the enterprise and a significant degree of influence on the management of the enterprise. Direct investment involves both the initial transaction between the two entities and all subsequent capital transactions between them and among affiliated enterprises, both incorporated and unincorporated.
      • Январь 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 марта, 2017
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         Foreign Direct Investment (FDI) is a category of investment that reflects the objective of establishing a lasting interest by a resident enterprise in one economy (direct investor) in an enterprise (direct investment enterprise) that is resident in an economy other than that of the direct investor. The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence (not necessarily control) on the management of the enterprise. The direct or indirect ownership of 10% or more of the voting power of an enterprise resident in one economy by an investor resident in another economy is the statistical evidence of such a relationship. FDI statistics are on a directional basis (inward or outward) and relate to FDI flows, FDI positions (stocks) and FDI income. Outward investments are cross-border investments by direct investors resident in the reporting country while inward investments are investments by non-resident investors in the reporting country. FDI flows are cross-border financial transactions within a given period (e.g. year, quarter) between affiliated enterprises that are in a direct investment relationship. FDI positions relate to the stock of investments at a given point in time (e.g. end of year, end of quarter). FDI flows and positions include equity (10% or more voting shares), reinvestment of earnings and inter-company debt. FDI income is the return on direct investment positions of equity (dividends and reinvested earnings) and debt (interest).   Special Purpose Entities (SPEs):Information on resident SPEs for Estonia and Sweden (FDI flows only) is confidential. This information is not yet available separately for Canada, Ireland and Mexico. The information is available separately for Austria, Chile, Denmark, Hungary, Iceland, Korea, Luxembourg, the Netherlands, Norway, Poland, Portugal, Spain, Sweden, Switzerland and the United Kingdom. However, the information is not displayed in the tables for all countries, due to limited availability of historical data or to differences in data vintages. Resident SPEs are not present or not significant in Australia, the Czech Republic, Finland, France, Germany, Greece, Israel, Italy, Japan, New Zealand, the Slovak Republic, Slovenia, Turkey, and the United States.
      • Ноябрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 декабря, 2015
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        Pension fund assets in OECD countries hit a record USD 20.1 trillion in 2011 but return on investment fell below zero, with an average negative return of -1.7%, according to the OECD’s latest Pension Markets in Focus. The report says that weak equity markets and low interest rates drove the poor performance.
      • Май 2013
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 15 сентября, 2014
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        In this version, seven GVCs indicators are presented for 59 economies (34 OECD and 23 non-OECD economies, plus the "rest of the world" and the European Union) for 18 industries in the years 1995, 2000, 2005, 2008 and 2009. The indicators are calculated based on the five global input-output matrices of the TiVA database. More details on the aggregation and specific country notes can be downloaded at http://www.oecd.org/sti/ind/input-outputtables.htm and http://oe.cd/gvc/.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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        OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
      • Июль 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 июля, 2016
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        Most of the data published in this database are taken from the individual contributions of national correspondents appointed by the OECD Secretariat with the approval of the authorities of Member countries. Consequently, these data have not necessarily been harmonised at international level. This network of correspondents, constituting the Continuous Reporting System on Migration (SOPEMI), covers most OECD Member countries as well as the Baltic States, Bulgaria and Romania. SOPEMI has no authority to impose changes in data collection procedures. It is an observatory which, by its very nature, has to use existing statistics. However, it does play an active role in suggesting what it considers to be essential improvements in data collection and makes every effort to present consistent and well-documented statistics.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 08 ноября, 2016
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        The Key Economic Indicators (KEI) database contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member countries and for a selection of non-member countries on a wide variety of economic indicators, namely: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.
      • Январь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 марта, 2016
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        This database, published twice a year, provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD Member countries and selected non-member economies in the field of Science and Technology as available from 1981 onwards. It includes final or provisional results as well as forecasts established by government authorities. Indicators cover resources devoted to research and development, patent families, technology balance of payments and international trade in highly R&D-intensive industries. Also presented are the underlying economic series used to calculate these indicators. Indicators on R&D expenditures, budgets and personnel are derived from the OECD's Research and Development Statistics (RDS) database, which is based on the data reported to OECD and Eurostat in the framework of the joint OECD/Eurostat international data collection on resources devoted to R&D. The sources for the other indicators include the OECD databases on Activities of Foreign Affiliates (AFA), on Bilateral Trade in Goods by Industry and End-use Category database (BTDIxE), on Patents and on Technological Balance of Payments (TBP). YEARS COVERED: 1981 onward. COUNTRIES COVERED: Australia, Austria, Belgium, Canada, Chile, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom, and United States. NON-MEMBER ECONOMIES: Argentina, China, Romania, Russian Federation, Singapore, South Africa and Chinese Taipei.
      • Март 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        The [Monthly Monetary and Financial Statistics (MEI)] dataset is a subset of the [Main Economic Indicators] (MEI) database which contains predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and the non-member countries: Brazil, China, India, Indonesia, Russian Federation, and South Africa. The MEI database contains a wide variety statistics that can be classified as Short-Term Economic Statistics. The [Financial Indicators (MEI)] dataset itself contains financial statistics on five separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, and Share Prices. The data series presented within these subjects have been chosen as the most relevant financial statistics in the MEI database for which comparable data across countries is available. 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. All data are available monthly, and are presented as either an index (where the year 2010 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 июля, 2016
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        This Dataset contains information using an "indicator" approach, focusing on cross-country comparisons; the aim being to make the accounts more accessible and informative, whilst, at the same time, taking the opportunity to present the conceptual underpinning of, and comparability issues inherent in, each of the indicators presented.
      • Июнь 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
      • Июнь 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
      • Июнь 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
      • Июнь 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 сентября, 2014
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        The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 22 марта, 2016
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        The OECD Science, Technology and Industry Outlook reviews key trends in STI policies and performance in OECD countries and major emerging economies. It is published every two years and draws on a unique international policy survey conducted by the OECD - with more than 45 countries involved in 2014 - and the latest OECD work on STI policy analysis and measurement. Following an overview of the recent STI global landscape, key current policy issues are discussed across a series of thematic policy profiles. Country profiles report the STI performance of individual countries and the most recent national policy developments.
      • Июль 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 января, 2017
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        This tool provides an access to a limited version of the database presented in the OECD-FAO Agricultural Outlook. For most of the commodity markets analysed in the Outlook, detailed supply and use balances are available, as well as domestic and international commodity prices. For OECD countries, the data is accompanied by detailed meta-data. In most cases the data is going back to 1970 and extended to the latest year in the projections (currently 2025). For Indicator- Producer Price- Units have been considered as National currency/t whereas the countries like Japan, Korea and Turkey have '000 National currency/t'
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 июня, 2016
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      • Август 2016
        Источник: Wikipedia
        Загружен: Knoema
        Дата обращения к источнику: 16 сентября, 2016
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      • Ноябрь 2016
        Источник: Organization of Petroleum Exporting Countries
        Загружен: Knoema
        Дата обращения к источнику: 23 декабря, 2016
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        The OPEC Annual Statistical Bulletin (ASB) provides detailed and comprehensive time-series data on many different aspects of the global petroleum industry, including production, demand, imports and exports, as well as exploration, production and transportation activities. The publication contains, in particular, key statistical data on oil and natural gas activities in each of OPEC’s 12 Member Countries: Algeria, Angola, Ecuador, Islamic Republic of Iran, Iraq, Kuwait, Libya, Nigeria, Qatar, Saudi Arabia, the United Arab Emirates and Venezuela. Additionally, it provides valuable industry data for various countries with detailed classifications mainly by geographical region, and covers the major economic areas around the world. This year’s 2015 ASB, which comprises data up to the end of 2015, includes the following important highlights:In 2015, world crude oil production increased by 1.75 million barrels/day (b/d), or 2.4 per cent, as compared to 2014, marking the second highest increase within the last ten years. Among non-OPEC Countries, the biggest yearly increase was for the United States, which grew by 0.72m b/d, or 8.3 per cent, leading to the highest production level since the early 1970s. Crude production during 2015 also increased in the United Kingdom, which saw growth of 0.10m b/d, or 13.4 per cent, for the first time since 1999. Similarly, Norway, which had already reversed its downward trend in 2014, continued to increase in 2015 by 0.06m b/d, or 3.7 per cent. OPEC crude oil production averaged 32.32m b/d during 2015, increasing by 0.93m b/d, or 3.0 per cent, over 2014, the first surge in production after two years of decline. In 2015, the top three crude oil producing countries were Saudi Arabia (10.19m b/d), Russia (10.11m b/d) and the United States (9.43m b/d). Saudi Arabia displaced Russia from first place for the first time since 2005.In 2015, OPEC petroleum export revenues fell by 45.8 per cent from 2014 to $518.2 billion, marking the lowest level seen since 2005. Total OPEC posted a current account deficit of $99.6bn in 2015 compared with a surplus of $238.1bn in 2014. Notably, the last time OPEC recorded a current account deficit was in 1998. In value, total OPEC exports declined by 29.1 per cent year-on-year (y-o-y) while total imports fell 8.7 per cent y-o-y.World oil demand averaged 93.0m b/d in 2015, up by 1.7 per cent y-o-y, with the largest increases taking place in Asia Pacific, particularly India and China, North America, Western Europe, the Middle East and Africa. Total OECD oil demand grew soundly during 2015, while it declined in Latin America for the first time since 2003. OPEC oil demand remained robust during 2015 in the Middle East, Africa and Asia Pacific, while it declined in Latin America — gasoline, kerosene and distillates accounted for the bulk of growth. Distillates and gasoline account for around 56 per cent of total world oil demand and were on increasing trends, while residual fuel oil requirements declined for another year. Gasoline dominated 2015 oil demand growth in Asia Pacific and North America, while distillates appeared robust in Western and Eastern Europe.Total OPEC crude oil exports stood at 23.6m b/d in 2015, up slightly from 23.2m b/d in 2014. This increase represents 1.7 per cent growth y-o-y. The bulk of OPEC crude oil was exported to the Asia Pacific region at a volume of 14.5m b/d or 61.5 per cent. Significant volumes were also exported to Europe, which increased its imports from OPEC MCs to 4.2m b/d in 2015, from 4.0m b/d in 2014. North America imported 2.8m b/d of crude oil from OPEC MCs, 10.6 per cent less than during 2014.Total world proven crude oil reserves stood at 1,493 billion barrels in 2015, increasing slightly by 0.1 per cent from the previous year’s level of 1,490bn b. The largest additions came from Angola, Venezuela and IR Iran, while declines were seen in Norway, the UK and Colombia. OPEC increased its proven crude oil reserves by 0.1 per cent to 1,211bn b in 2015, maintaining their share of 81.2 per cent of total world crude oil reserves.In 2015, proven natural gas reserves declined by 0.3 per cent to approximately 202.0 trillion standard cu m. This decrease came on the back of high natural gas production and lower expenditures on exploration and development, mainly as a result of lower gas prices. Total world natural gas marketed production increased by 1.9 per cent in 2015 to reach 3.6 trillion standard cu m; increases occurred mainly in North America and the Middle East.World refinery capacity expanded by 0.8m b/cd to stand at 96.6m b/cd during 2015, mainly supported by additions in the Middle East and Asia Pacific regions. In the Middle East, expansions came largely from OPEC MCs, while in the Asia Pacific region growth came predominantly from India and China. Refinery capacity in the OECD region continued to decline despite small gains seen in the United States. Global refinery throughput ramped up by 2.4 per cent to reach 80.5m b/d in 2015, with the largest gains seen in the Middle East and Asia Pacific regions. In the Middle East, gains in refinery throughput originated in OPEC MCs, while India and China dominated the increases seen in the Asia and Pacific region.The OPEC Reference Basket averaged $49.49/b in 2015, down from $96.29/b in 2014 and dropping to the lowest yearly average observed since 2004. The yearly decline was valued at $46.80/b, or 48.6 per cent, as compared to 2014. Volatility in 2015 stood at $8.50/b, or 17.2 per cent, relative to the yearly average. The oil market has remained in contango since 2H14 and throughout 2015.
      • Январь 2015
        Источник: Open Data Research Network
        Загружен: Knoema
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        This dataset shows the sub-index and overall rankings given to countries in the Open Data Barometer Study, a multi-dimensional measure of open data context, implementation and impacts across 77 countries. More information on the study methodology and variable definitions can be found in the Open Data Barometer 2013 Global Report
      • Июль 2014
        Источник: Open Data Research Network
        Загружен: Knoema
        Дата обращения к источнику: 05 ноября, 2014
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        Peer-reviewed numerical scores assigned to each primary data variable collected for the Open Data Barometer.
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 октября, 2016
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        This table contains statistics on research and development (R&D) expenditure performed in the higher education and private non-profit sectors by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities) and type of costs (current expenditures, capital expenditures).
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2016
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        This table contains statistics on research and development ( R&D) expenditure performed in the higher education and private non-profit sectors by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities) and source of funds (direct government, public general university funds, higher education, private non-profit, business enterprise, and funds from abroad). Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs).
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 февраля, 2017
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        Other official flows are official sector transactions which do not meet the ODA criteria, e.g.: i.) Grants to developing countries for representational or essentially commercial purposes; ii.) Official bilateral transactions intended to promote development but having a grant element of less than 25 per cent; iii.) Official bilateral transactions, whatever their grant element, that are primarily export-facilitating in purpose. This category includes by definition export credits extended directly to an aid recipient by an official agency or institution ("official direct export credits"); iv.) The net acquisition by governments and central monetary institutions of securities issued by multilateral development banks at market terms; v.) Subsidies (grants) to the private sector to soften its credits to developing countries [see Annex 3, paragraph A3.5.iv)b)]; vi.) Funds in support of private investment.
      • Январь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 октября, 2016
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      • Январь 2015
        Источник: Ministry of Tourism, Government of India
        Загружен: Knoema
        Дата обращения к источнику: 20 мая, 2016
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      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 23 ноября, 2016
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        This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing, total services and total business enterprise sectors. The units used to present data in AMNE are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 09 декабря, 2016
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        This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing sector or in the total business sector.The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
      • Январь 2014
        Источник: Oxfam
        Загружен: Knoema
        Дата обращения к источнику: 30 мая, 2014
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        Around the world, one in eight people go to bed hungry every night, even though there is enough food for everyone. Our graph illustrates how overconsumption, misuse of resources and waste are common elements of a system that leaves hundreds of millions without enough to eat.
    • P
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2017
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        The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
      • Февраль 2016
        Источник: Passport Index
        Загружен: Alina Buzanakova
        Дата обращения к источнику: 12 февраля, 2016
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        Passport Index is an interactive tool, which collects, displays and ranks the passports of the world.You can discover the world’s passports on a map, by country name, by Passport Power Rank and even by the color of their cover.Visa Free ScorePassports accumulate points for each visa free country that their holders can visit without a visa, or they can obtain a visa on arrival.Passport Power RankPassports are ranked based on their Visa Free Score. The higher the Visa Free Score, the better the Passport Power Rank.MethodologyThe country list is based on the 193 UN member countries and 6 territories (Macao, Kosovo, etc.) for a total of 199. Territories annexed to other countries such as Norfolk Island, French Polynesia, etc. are excluded. Data is based on research from publicly available sources, as well as information shared by government agencies.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Июнь 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 21 ноября, 2015
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Июль 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 20 ноября, 2015
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 15 апреля, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Апрель 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 15 апреля, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Июнь 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 21 ноября, 2015
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Июль 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 28 ноября, 2015
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Ноябрь 2012
        Источник: Center for International Comparisons at the University of Pennsylvania
        Загружен: Knoema
        Дата обращения к источнику: 10 декабря, 2012
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        The Penn World Table provides purchasing power parity and national income accounts converted to international prices for 189 countries/territories for some or all of the years 1950-2010. Its expenditure entries are denominated in a common set of prices in a common currency so that real quantity comparisons can be made, both between countries and over time. It also provides information about relative prices within and between countries, as well as demographic data and capital stock estimates. The Penn World Table grew out of the United Nations International Comparison Programme (ICP) that was jointly directed by Irving Kravis at Penn through the first three phases ending with 1975 comparison (Kravis, Heston and Summers, 1982). PWT 7.1 Alan Heston, Robert Summers and Bettina Aten, Penn World Table Version 7.1, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania, Nov 2012.
      • Февраль 2012
        Источник: Center for International Comparisons at the University of Pennsylvania
        Загружен: Knoema
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        Benchmark data used in the component price level estimates for past PWTs. The published record of benchmark comparisons includes regional and world comparisons. These are described through 1985 in publications of the World Bank, including the published comparisons of the Penn group. The Penn World Table provides purchasing power parity and national income accounts converted to international prices for 189 countries/territories for some or all of the years 1950-2010.  Its expenditure entries are denominated in a common set of prices in a common currency so that real quantity comparisons can be made, both between countries and over time. It also provides information about relative prices within and between countries, as well as demographic data and capital stock estimates. The Penn World Table grew out of the United Nations International Comparison Programme (ICP) that was jointly directed by Irving Kravis at Penn through the first three phases ending with 1975 comparison (Kravis, Heston and Summers, 1982). PWT 7.1 Alan Heston, Robert Summers and Bettina Aten, Penn World Table Version 7.1, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania, Nov 2012.
      • Июнь 2016
        Источник: University of Groningen
        Загружен: Knoema
        Дата обращения к источнику: 09 августа, 2016
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        PWT version 9.0 is a database with information on relative levels of income, output, inputs and productivity, covering 182 countries between 1950 and 2014.
      • Сентябрь 2016
        Источник: Willis Towers Watson
        Загружен: Knoema
        Дата обращения к источнику: 07 ноября, 2016
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      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 13 декабря, 2016
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        The data presents time series on receipts and payments of personal remittances in millions of dollars. The data is also shown as percentage of exports (receipts) and imports (payments) of goods and services, and as percentage of GDP.Personal remittances is defined as the sum of two items: (1) compensation of employees, defined as the income of non-resident workers employed in an economy and of residents employed by nonresident employers; (2) personal (current) transfers, defined as current transfers in kind or in cash, between resident and nonresident households. These are the two items in the balance of payments framework that substantially relate to remittances. Both are standard components in the current account. A broader definition of personal remittances would also include capital transfers between resident and nonresident households. However, capital transfers is a supplementary component in the capital account. As a result data coverage on capital transfers is much sparse than the other two items.The data on compensation of employees, personal transfers and capital transfers between households have been collected by the IMF from national agencies or, in cases of non-availability, estimated by the IMF.
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 09 ноября, 2016
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      • Сентябрь 2015
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 02 декабря, 2015
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        Eurostat Dataset Id:crim_plce Data on crime (offences recorded by the police - total crime, homicide, violent crime, robbery, domestic burglary, theft of a motor vehicle, drug trafficking), the number of police officers and the prison population are available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates. Data on homicide is also available by capital cities (police areas) in these countries. Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data come from official sources in the countries such as the National Statistics Office, the National Prison Administration, the Ministries of the Interior or Justice and the Police. Calendar year or national financial year data are provided in absolute numbers. No statistical adjustments are carried out. Regional data : Data on domestic burglary, homicide, robbery and theft of motor vehicle are available on a regional level for 2008, 2009 and 2010 only. The data are available for the European Union member States, EFTA countries, EU Candidate countries and EU Potential candidates. Please note that for paragraphs where non metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
      • Сентябрь 2016
        Источник: Political Terror Scale
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Political Terror Scale Levels 1 - Coun­tries un­der a se­cure rule of law, people are not im­prisoned for their views, and tor­ture is rare or ex­cep­tion­al. Polit­ic­al murders are ex­tremely rare.2 - There is a lim­ited amount of im­pris­on­ment for non­vi­ol­ent polit­ic­al activ­ity. However, few per­sons are af­fected, tor­ture and beat­ings are ex­cep­tion­al. Polit­ic­al murder is rare.3 - There is ex­tens­ive polit­ic­al im­pris­on­ment, or a re­cent his­tory of such im­pris­on­ment. Ex­e­cu­tion or oth­er polit­ic­al murders and bru­tal­ity may be com­mon. Un­lim­ited de­ten­tion, with or without a tri­al, for polit­ic­al views is ac­cep­ted.4 - Civil and polit­ic­al rights vi­ol­a­tions have ex­pan­ded to large num­bers of the pop­u­la­tion. Murders, dis­ap­pear­ances, and tor­ture are a com­mon part of life. In spite of its gen­er­al­ity, on this level ter­ror af­fects those who in­terest them­selves in polit­ics or ideas.5 - Ter­ror has ex­pan­ded to the whole pop­u­la­tion. The lead­ers of these so­ci­et­ies place no lim­its on the means or thor­ough­ness with which they pur­sue per­son­al or ideo­lo­gic­al goals.
      • Июнь 2013
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 29 июля, 2013
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        This dataset contains all the Eurostat datasets (12 numbers) present under Population and Area. Note Eurostat Hierarchy General and regional statistics > Population and social conditions > Population (populat) > Demography (pop) > Demography - Regional data (demoreg) > Population and area.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 23 ноября, 2016
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        It presents population data and employment by main activity. It includes national concept data for economically active population, unemployed persons, total employment, employees and self-employed, as well as domestic concept data for total employment, employees and self-employed. The domestic concept data are available broken down by main activity.It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire.
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 ноября, 2016
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        The Population and Vital Statistics dataset presents components of change in the population during one year and mid-year population data for the 34 OECD member countries. Data are presented in thousands of persons and as rates in per 1000.The components of change in the population during one year are presented as follow: the first statistics refer to the population on January 1st for each year, the natural increase of the population is the difference between the number of births and deaths over the calendar year, the addition of net migration and statistical adjustments to the natural increase gives the total increase of the population over the calendar year. The addition of the total population increase to the population on January 1st gives the population on December 31st. Note: No longer this dataset be collected by OECD. Population and demographic events are available from the United Nation database at "https://esa.un.org/unpd/wpp/Download/Standard/Population/."    
      • Март 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 29 ноября, 2015
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      • Март 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 марта, 2016
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        The FAOSTAT PopSTAT module contains timeseries on population and economically active population. The series consist of both estimates and projections for different periods as available from the original sources, namely: Population data from the UN Population Division and the data refers to the UN Revision 2012. Long term series estimates and projects from 1961 to 2050. Economically active population from the ILO and the data refers to the 5th edition, revision 2009. Long term series estimates and projects from 1980 to 2020.
      • Январь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2016
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        This dataset presents annual population data from 1950 when available by sex and five year age groups. The data is available for the 34 member countries and also for Colombia, Brazil, South Africa and Russian Federation. Data are presented in thousands of persons. The population data is presented in 18 five year age groups which refer to the population from 0-4 to 85 and more.
      • Май 2015
        Источник: Earth Policy Institute
        Загружен: Knoema
        Дата обращения к источнику: 26 июня, 2015
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        This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).
      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 22 декабря, 2016
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        The World Bank periodically prepares poverty assessments of countries in which it has an active program, in close collaboration with national institutions, other development agencies, and civil society, including poor people's organizations. Assessments report the extent and causes of poverty and propose strategies to reduce it. Countries have varying definitions of poverty, and comparisons can be difficult. National poverty lines tend to have higher purchasing power in rich countries, where standards used are more generous than in poor countries. Poverty measures based on an international poverty line attempt to hold the real value of the poverty line constant across countries, including when making comparisons over time. Data here includes measures of population living below the national poverty line as well as the international poverty line. Also included are income distributions and urban and rural poverty
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 марта, 2017
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      • Декабрь 2016
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 02 марта, 2017
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      • Сентябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 октября, 2016
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        Country weights used for calculation of Consumer Prices and Producer Prices OECD zones
      • Январь 2012
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 31 мая, 2014
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        Eurostat Dataset Id:crim_pris_hist Data on crime (offences recorded by the police - total crime, homicide, violent crime, robbery, domestic burglary, theft of a motor vehicle, drug trafficking), the number of police officers and the prison population are available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates. Data on homicide is also available by capital cities (police areas) in these countries. Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data come from official sources in the countries such as the National Statistics Office, the National Prison Administration, the Ministries of the Interior or Justice and the Police. Calendar year or national financial year data are provided in absolute numbers. No statistical adjustments are carried out. Regional data : Data on domestic burglary, homicide, robbery and theft of motor vehicle are available on a regional level for 2008, 2009 and 2010 only. The data are available for the European Union member States, EFTA countries, EU Candidate countries and EU Potential candidates. Please note that for paragraphs where non metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 мая, 2014
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        Eurostat Dataset Id:educ_bo_fi_ffun The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening access educ_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age B. Study framework educ_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education C. Student and staff mobility educ_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country) D. Effective outcomes and employability educ_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A   The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities: Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 06 января, 2017
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        Private transactions are those undertaken by firms and individuals resident in the reporting country.
      • Апрель 2015
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 13 августа, 2015
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        Private fixed investment in advanced economies contracted sharply during the global financial crisis, and there has been little recovery since. Investment has generally slowed more gradually in the rest of the world. Although housing investment fell especially sharply during the crisis, business investment accounts for the bulk of the slump, and the overriding factor holding it back has been the overall weakness of economic activity. In some countries, other contributing factors include financial constraints and policy uncertainty. These findings suggest that addressing the general weakness in economic activity is crucial for restoring growth in private investment.
      • Март 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 апреля, 2017
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        The 'Producer Prices (MEI)' dataset predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and for some six non-member countries: Brazil, China, India, Indonesia, Russian Federation and South Africa. The ‘Producer Prices (MEI)’ dataset itself contains statistics on Producer Price Indices. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. 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. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data), and are presented as an index where the year 2010 is the base year.
      • Сентябрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 10 сентября, 2014
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        The OECD Indicators of Product Market Regulation (PMR) are a comprehensive and internationally-comparable set of indicators that measure the degree to which policies promote or inhibit competition in areas of the product market where competition is viable. They measure the economy-wide regulatory and market environments in 34 OECD countries in (or around) 1998, 2003, 2008 and 2013, and in another set of non-OECD countries in 2013. They are consistent across time and countries. Users of the data must be aware that they may no longer fully reflect the current situation in fast reforming countries. The indicators cover formal regulations in the following areas: state control of business enterprises; legal and administrative barriers to entrepreneurship; barriers to international trade and investment. Not all data are available for all countries for all years.
      • Март 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        The 'Production and Sales (MEI)' dataset is a dataset containing predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and for selected other economies. The Production and Sales dataset contains industrial statistics on four separate subjects: Production; Sales; Orders; and Work started. The data series presented within these subjects have been chosen as the most relevant industrial statistics for which comparable data across countries is available. For Production, data comprise Indices of industrial production (IIP) for total industry, manufacturing, energy and crude petroleum; and further disaggregation of manufacturing production for intermediate goods and for investment goods and crude steel. For others, they comprise retail trade and registration of passenger cars; and permits issued and work started for dwellings. Considerable effort has been made to ensure that the data are internationally comparable across all countries presented, coverage for as many countries as possible, and that all the subjects have reasonable length of time-series to assist analysis. Most data are available monthly and are presented as an index (where the year 2010 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context. Due to differences in statistical or economic environment at country level, however, availability of data varies from one country to another.
      • Декабрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 ноября, 2016
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      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        CropsCrop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Crop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Primary, Cereals, Coarse Grain, Citrus Fruit, Fruit, Jute & Jute-like Fibres, Oilcakes Equivalent, Oil crops Primary, Pulses, Roots and Tubers, Treenuts and Vegetables and Melons. Data are expressed in terms of area harvested, production quantity, yield and seed quantity. The objective is to comprehensively cover production of all primary crops for all countries and regions in the world. Cereals: Area and production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed or silage or used for grazing are therefore excluded. Area data relate to harvested area. Some countries report sown or cultivated area only; however, in these countries the sown or cultivated area does not differ significantly in normal years from the area actually harvested, either because practically the whole area sown is harvested or because the area surveys are conducted around the harvest period.  Vegetables, total (including melons): Data relate to vegetable crops grown mainly for human consumption. Crops such as cabbages, pumpkins and carrots, when explicitly cultivated for animal feed, are therefore excluded. Statistics on vegetables are not available in many countries, and the coverage of the reported data differs from country to country. In general, it appears that the estimates refer to crops grown in field and market gardens mainly for sale, thus excluding crops cultivated in kitchen gardens or small family gardens mainly for household consumption. Fruit, total (excluding melons): Data refer to total production of fresh fruit, whether finally used for direct consumption for food or feed, or processed into different products: dry fruit, juice, jam, alcohol, etc. Generally, production data relate to plantation crops or orchard crops grown mainly for sale. Data on production from scattered trees used mainly for home consumption are not usually collected. Production from wild plants, particularly berries, which is of some importance in certain countries, is generally disregarded by national statistical services. Therefore, the data for the various fruits and berries are rather incomplete. Bananas and plantains: Figures on bananas refer, as far as possible, to all edible fruit-bearing species of the genus Musa except Musa paradisiaca, commonly known as plantain. Unfortunately, several countries make no distinction in their statistics between bananas and plantains and publish only overall estimates. When this occurs and there is some indication or assumption that the data reported refer mainly to bananas, the data are included. The production data on bananas and plantains reported by the various countries are also difficult to compare because a number of countries report in terms of bunches, which generally means that the stalk is included in the weight. Dates, plantains and total grapes are included in the “total fruit” aggregated figures, while olives are excluded. Treenuts: Production of nuts (including chestnuts) relates to nuts in the shell or in the husk. Statistics are very scanty and generally refer only to crops for sale. In addition to the kind of nuts shown separately, production data include all other treenuts mainly used as dessert or table nuts, such as pecan nuts, pili nuts, sapucaia nuts and macadamia nuts. Nuts mainly used for flavouring beverages are excluded as are masticatory and stimulant nuts and nuts used mainly for the extraction of oil or butter, including areca/betel nuts, cola nuts, illipe nuts, karite nuts, coconuts, tung nuts, oilpalm nuts etc. http://www.fao.org/faostat/en/#data/QCCrops processedThe dataset covers the following commodities: Beer of barley; Cotton lint; Cottonseed; Margarine, short; Molasses; Oil, coconut (copra); Oil, cottonseed; Oil, groundnut; Oil, linseed; Oil, maize; Oil, olive, virgin; Oil, palm; Oil, palm kernel; Oil, rapeseed; Oil, safflower; Oil, sesame; Oil, soybean; Oil, sunflower; Palm kernels; Sugar Raw Centrifugal; Wine.  http://www.fao.org/faostat/en/#data/QD
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 27 декабря, 2016
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        The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare   Data Files: http://www.fao.org/faostat/en/#data/QAhttp://www.fao.org/faostat/en/#data/QLhttp://www.fao.org/faostat/en/#data/QP
      • Январь 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 01 февраля, 2017
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        The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the OECD Annual National Accounts (ANA) Database. However, timely data issues may arise and affect individual series and/or individual countries. Productivity and ULC data by main economic activity uses gross value added (in basic prices) as output measure and not GDP (gross value added at market prices). The presented estimates are hence not fully equivalent to the estimates in the database on annual growth in GDP per capita, productivity and ULC for the total economy presented above, although differences are typically relatively small.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 сентября, 2014
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        The OECD cross-section sectoral indicators measure regulatory conditions in the professional services and retail distribution sectors. The professional services indicators cover entry and conduct regulation in the legal, accounting, engineering, and architectural professions. They are now estimated for the years 1996, 2003, around 2008 and 2013 for 34 OECD countries and for another set of non-OECD countries for 2013. Users of the data must be aware that they may no longer fully reflect the current situation in fast reforming countries. Not all data are available for all countries for all years.
      • Март 2017
        Источник: Bank for International Settlements
        Загружен: Knoema
        Дата обращения к источнику: 14 марта, 2017
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        The property price statistics currently include data from 59 countries, and are available at different frequencies. The data differ significantly from country to country, for instance in terms of sources of information on prices, type of property, area covered, property vintage, priced unit, detailed compilation methods and seasonal adjustment. This reflects two facts. Firstly, that the processes associated with buying and selling a property and hence data available, vary between countries and secondly, that there are currently no specific international standards for property price statistics.
      • Февраль 2012
        Источник: Inter-American Development Bank
        Загружен: Knoema
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        Public Debt around the World: A New Dataset of Central Government Debt by Dany Jaimovich, Ugo Panizza. Inter-American Development Bank, Research Department, Working Paper 561, March 2006. Brief Description: Commonly used datasets on the level of public debt provide incomplete country and period coverage. It includes complete series of central government debt for 89 countries over the 1991-2005 period and for seven other countries for the 1993-2005 period. Years covered: 1991-2005.
      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 мая, 2014
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        Eurostat Dataset Id:educ_bo_fi_fgdp The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening access educ_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age B. Study framework educ_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education C. Student and staff mobility educ_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country) D. Effective outcomes and employability educ_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A   The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities: Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 06 июля, 2014
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        Eurostat Dataset Id:educ_bo_fi_faid The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening accesseduc_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age   B. Study frameworkeduc_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education   C. Student and staff mobilityeduc_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country)   D. Effective outcomes and employabilityeduc_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A     The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities:Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Июль 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 декабря, 2015
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        The OECD has collected data for public expenditure on labour market programmes (LMPs) continuously since the mid-1980s. For most longstanding Member countries, data according to a consistent classification system and definition of scope are available for reference years 1985 to 2002. Starting with reference year 1998, Eurostat started collecting and publishing data according to a somewhat different classification system and definition of scope. In line with agreements for bilateral coordination of data collection, the OECD after some time adopted - for non-Eurostat OECD Member countries as well as Eurostat countries – most of the features of the Eurostat system. This allows the OECD to use data collected by Eurostat rather than making a separate data request to the 20 Eurostat countries that are members of the OECD. OECD data according to the "new" classification and definition of scope are generally available for reference year 2002 onwards, or 1998 onwards for Eurostat countries. These data are often used in time-series applications, e.g. for documenting long-term trends in total social expenditure (ìn which labour market programmes are one component), or in time-series regressions that attempt to estimate the impact of training programmes vs. job-creation programmes on unemployment. It is no longer practicable to do such work using only the "old" data which stop in 2002 or the "new" data which start in 2002 or 1998. If the two data sets are combined using crude extrapolation and splicing techniques, time-series movements will result primarily from statistical breaks (i.e. changes in definition and coverage of the statistics) rather than real changes in spending patterns.The unit of measure used depends on the members in dimension 'Country', 'Measure'
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        Data cover both social security reserve funds and sovereign pension reserve funds, the two main categories of public pension reserve funds. Social security reserve funds are set up as part of the overall social security system. They are funded chiefly by surpluses from employee and/or employer contributions over current payouts and, in some cases, by top-up contributions from the government through fiscal transfers and other sources. They may be managed either as part of a national social security scheme or by an independent - often public sector - fund management entity. Sovereign pension reserve funds are funds established by governments (independently of social security systems), who finance them directly through fiscal transfers. They are usually mandated to finance public pension expenditures at a specific future date. Some are not allowed to make any payouts for decades.
      • Сентябрь 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 03 октября, 2012
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        Data cover both social security reserve funds and sovereign pension reserve funds, the two main categories of public pension reserve funds. Social security reserve funds are set up as part of the overall social security system. They are funded chiefly by surpluses from employee and/or employer contributions over current payouts and, in some cases, by top-up contributions from the government through fiscal transfers and other sources. They may be managed either as part of a national social security scheme or by an independent - often public sector - fund management entity. Sovereign pension reserve funds are funds established by governments (independently of social security systems), who finance them directly through fiscal transfers. They are usually mandated to finance public pension expenditures at a specific future date. Some are not allowed to make any payouts for decades.
      • Март 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 сентября, 2014
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        This dataset contains the main results of the 2011 Eurostat-OECD PPP comparison for the 47 countries that participated in the 2011 round of the Eurostat-OECD Purchasing Power Parity (PPP) Programme. The dataset is organised in 23 tables which show results both in US dollars and OECD as reference (Table 1.1 to Table 1.12) and in euros and European Union as reference (Table 2.1 to Table 2.11) calculated with the EKS method. The tables contain the following information:
      • Ноябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 ноября, 2016
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        PPPs are the rates of currency conversion that eliminate the differences in price levels between countries. Per capita volume indices based on PPP converted data reflect only differences in the volume of goods and services produced. Comparative price levels are defined as the ratios of PPPs to exchange rates. They provide measures of the differences in price levels between countries. The PPPs are given in national currency units per US dollar. The price levels and volume indices derived using these PPPs have been rebased on the OECD average.
    • Q
      • Январь 2017
        Источник: University of Gothenburg
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        In the QoG Standard CS dataset, data from and around 2013 is included. Data from 2013 is prioritized, however, if no data is available for a country for 2013, data for 2014 is included. If no data exists for 2014, data for 2012 is included, and so on up to a maximum of +/- 3 years.
      • Январь 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 06 февраля, 2017
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        The World Bank launched the new Quarterly External Debt Statistics (QEDS) SDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS SDDS database provides detailed external debt data starting from 1998Q1. Data are published individually by countries that subscribe to the IMF’s Special Data Dissemination Standard (SDDS), as well as, GDDS participating countries that are in a position to produce the external debt data prescribed by the SDDS.
      • Апрель 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        Public Sector Debt Statistics (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected developing /emerging market countries (Czech Republic is an advanced economy; the rest of the advanced economies will be invited to participate in this initiative in 2012)The QPSD database includes country and cross-country tables, and enables users to query and extract data, by country, group of countries, and specific public debt components. The data represent the following sectors on an as-available basis: General government; o/w Central government; o/w Budgetary central government; Non financial public corporations and Financial public corporations and a table presenting the total public sector debt.
    • R
      • Январь 2016
        Источник: National Science Foundation
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2016
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        Data collected from table 4-16,4-18
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2016
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        This table contains research and development (R&D) expenditure statistics on current domestic R&D and gross domestic R&D expenditures by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of R&D within each sector (basic research, applied research, experimental development, non-specified, and total activity).Unit of measure used - Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs).
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 апреля, 2016
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        These tables contain research and development (RD) personnel statistics. Number of RD personnel is provided in both headcounts and full-time equivalent on RD by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by occupation (researchers, technicians and other support staff).
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 апреля, 2016
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        This table presents research and development (R&D) personnel statistics. Number of R&D personnel is provided in headcounts and/or full-time equivalent on R&D by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by formal qualification (university and other diplomas by ISCED classification). Unit of measure used - Headcounts and/or Full-time equivalent on R&D (FTE)
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 10 ноября, 2016
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        Real hourly and annual minimum wages are statutory minimum wages converted into a common hourly and annual pay period for the 25 countries for which they are available. The resulting estimates are deflated by national Consumer Price Indices (CPI). The data are then converted into a common currency unit using either US $ current exchange rates or US $ Purchasing Power Parities (PPPs) for private consumption expenditures. Real hourly and annual minimum wages are calculated first by deflating the series using the consumer price index taking 2015 as the base year.  The series are then converted into a common currency unit (USD) using Purchasing Power Parities (PPPs) for private consumption expenditures in 2015.
      • Октябрь 2015
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2015
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        Global growth declined in the first half of 2015, reflecting a further slowdown in emerging markets and a weaker recovery in advanced economies. It is now projected at 3.1 percent for 2015 as a whole, slightly lower than in 2014, and 0.2 percentage point below the forecasts in the July 2015 World Economic Outlook (WEO) Update. Prospects across the main countries and regions remain uneven. Relative to last year, growth in advanced economies is expected to pick up slightly, while it is projected to decline in emerging market and developing economies. With declining commodity prices, depreciating emerging market currencies, and increasing financial market volatility, downside risks to the outlook have risen, particularly for emerging market and developing economies. Global activity is projected to gather some pace in 2016. In advanced economies, the modest recovery that started in 2014 is projected to strengthen further. In emerging market and developing economies, the outlook is projected to improve: in particular, growth in countries in economic distress in 2015 (including Brazil, Russia, and some countries in Latin America and in the Middle East), while remaining weak or negative, is projected to be higher next year, more than offsetting the expected gradual slowdown in China.
      • Март 2010
        Источник: International Institute for Applied Systems Analysis
        Загружен: Knoema
        Дата обращения к источнику: 31 октября, 2013
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        Using demographic multi-state, cohort-component methods, projections for 120 countries (covering 93% of the world population in 2005) by five-year age groups, sex, and four levels of educational attainment for the years 2005-2050 are produced. Taking into account differentials in fertility and mortality by education level, the first systematic global educational attainment projections according to four widely differing education scenarios are presented. The results show the possible range of future educational attainment trends around the world, thereby contributing to long-term economic and social planning at the national and international levels, and to the assessment of the feasibility of international education goals. Samir KC et al., Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005-2050, Demographic Research, 22(15), P. 383-472, 16 March 2010: http://www.demographic-research.org/Volumes/Vol22/15/.
      • Июнь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2014
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        The Regional Database contains annual data from 1990 to the most recent available year (generally 2013 for demographic and labour market data, 2011 for regional accounts, innovation and social statistics).
      • Октябрь 2013
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 сентября, 2014
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        For each OECD country, data are collected at two sub-national levels:Territorial level 2 (TL2), which refers to the 337 large regions of the OECD area.Territorial Level 3 (TL3), which refers to the 1709 small regions of the OECD area.In any analytical study conducted at sub-national levels, the choice of the territorial unit is of prime importance. The territorial grids used in this database are officially established and relatively stable in all member countries, and are used by many as a framework for implementing regional policies. Regions in OECD Member Countries have been classified according to two territorial levels (TL). The higher level (Territorial Level 2) consists of about 362 macro-regions while the lower level (Territorial Level 3) is composed of 1794 micro-regions.This classification - which, for European countries, is largely consistent with the Eurostat classification - facilitates greater comparability of regions at the same territorial level. The differences with the Eurostat NUTS classification concern Belgium, Greece and the Netherlands where the NUTS 2 level correspond to the OECD TL3 and Germany where the NUTS1 corresponds to the OECD TL2 and the OECD TL3 corresponds to 97 spatial planning regions (Groups of Kreise). For the United Kingdom the Eurostat NUTS1 corresponds to the OECD TL2.Due to limited data availability, labour market indicators in Canada and Australia are presented for a different grid (groups of TL3 regions in the case of Canada). Since these breakdowns are not part of the OECD official territorial grids, for the sake of simplicity they are labelled as Non Official Grids (NOG).National values have been computed based on regional estimates. For this reason, it is possible that in some cases these values differ from national statistics.
      • Июль 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 июня, 2016
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        The Regional Database contains annual data from 1995 to the most recent available year. The data collection is undertaken by the Directorate of Public Governance and Territorial Development, within the Regional Development Policy division (GOV/RDP). Statistics are collected through an annual questionnaire sent to the delegates of the Working Party on Territorial Indicators (WPTI), and through access to the web-sites of National Statistical Offices and Eurostat.The WPTI is responsible for developing regional (subnational) and urban statistics and providing analysis to support policy evaluations. The Regional Database includes statistics on the regional distribution of resources, regional disparities, and how regions contribute to national growth and the well-being of society.Under this framework, the Regional Database is one of the pillars for providing indicators to the publication OECD Regions at a Glance (link).
      • Июль 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 июня, 2016
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      • Июнь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 ноября, 2015
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      • Июль 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 23 июня, 2016
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      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 октября, 2016
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        The Regional well-being dataset presents eleven dimensions central for well-being at local level and for 395 OECD regions, covering material conditions (income, jobs and housing), quality of life (education, health, environment, safety and access to services) and subjective well-being (social network support and life satisfaction). The set of indicators selected to measure these dimensions is a combination of people's individual attributes and their local conditions, and in most cases, are available over two different years (2000 and 2014). Regions can be easily visualised and compared to other regions through the interactive website [www.oecdregionalwellbeing.org]. The dataset, the website and the publications "Regions at a Glance" and "How’s life in your region?" are outputs designed from the framework for regional and local well-being.The Regional income distribution dataset presents comparable data on sub-national differences in income inequality and poverty for OECD countries. The data by region provide information on income distribution within regions (Gini coefficients and income quintiles), and relative income poverty (with poverty thresholds set in respect of the national population) for 2013. These new data complement international assessments of differences across regions in living conditions by documenting how household income is distributed within regions and how many people are poor relatively to the typical citizen of their country.For analytical purposes, the OECD classifies regions as the first administrative tier of sub-national government, so called Territorial Level 2 or TL2 in the OECD classification. This classification is used by National Statistical Offices to collect information and it represents in many countries the framework for implementing regional policies. Well-being indicators are shown for the 395 TL2 OECD regions, equivalent of the NUTS2 for European countries, with the exception for Estonian where well-being data are presented at a smaller (TL3) level and for the Regional Income dataset, where Greece, Hungary and Poland data are presented at a more aggregated (NUTS1) level.
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
        Выбрать
        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
        Выбрать
        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 01 декабря, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 04 декабря, 2016
        Выбрать
        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 04 декабря, 2016
        Выбрать
        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 03 декабря, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Март 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 апреля, 2017
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        The Registered Unemployment and Job Vacancies dataset is a subset of the Short-Term Labour Situation database, which contains predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and for selected other economies. There are basically two sources for unemployment statistics: labour force surveys and administrative data. Surveys are based on standard methodology and procedures used all over the world while administrative data are subject to national legislations which evolve through time. Consequently registered unemployment data are not comparable across countries. The relationship between survey and registered unemployment is not the same for all countries. Number of registered unemployed persons and registered unemployment rates are presented here because they are monthly and quickly available after their reference period. The job vacancies data provides estimates of the number of unfilled job vacancies across national economies. Series give an indication of the labour demand while the unemployment is linked with the labour supply.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The OECD indicators of regulation in energy, transport and communications (ETCR) summarise regulatory provisions in seven sectors: telecoms, electricity, gas, post, rail, air passenger transport, and road freight. The ETCR indicators have been estimated in a long-time series and are therefore well suited for time-series analysis. The ETCR time series was updated, revised and now cover 34 OECD countries and a set of non-OECD countries for 2013. Users of the data must be aware that they may no longer fully reflect the current situation in fast reforming countries. Not all data are available for all countries for all years.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The OECD cross-section sectoral indicators measure regulatory conditions in the professional services and retail distribution sectors. The retail indicators cover barriers to entry, operational restrictions, and price controls. These indicators were updated and revised; they are now estimated for 34 OECD countries for the years 1998, 2003, around 2008 and 2013 and for another set of non-OECD countries for 2013. Users of the data must be aware that they may no longer fully reflect the current situation in fast reforming countries. Not all data are available for all countries for all years.
      • Август 2012
        Источник: Multiple Sources
        Загружен: Carpe Facto
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        Spread of religions across the World, by country
      • Апрель 2017
        Источник: UNESCO Institute for Statistics
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2017
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      • Апрель 2017
        Источник: Reserve Bank of Australia
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        Reserve Bank of Australia Assets and Liabilities
      • Апрель 2017
        Источник: Reserve Bank of Australia
        Загружен: Knoema
        Дата обращения к источнику: 10 апреля, 2017
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        Reserve Bank of Australia Interest Rates
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 27 декабря, 2016
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        Data on agricultural land-use are valuable for conducting studies on a various perspectives concerning agricultural production, food security and for deriving cropping intensity among others uses. Indicators derived from the land-use categories can also elucidate the environmental sustainability of countries’ agricultural practices. FAOSTAT Land-use statistics contain a wide range of information on variables that are significant for: understanding the structure of a country’s agricultural sector; making economic plans and policies for food security; deriving environmental indicators, including those related to investment in agriculture and data on gross crop area and net crop area which are useful for policy formulation and monitoring. Land-use resources sub-domain covers: Country area (including area under inland water bodies), Land area (excluding area under inland water bodies), Agricultural area, Arable land and Permanent crops, Arable land, Permanent crops, Permanent meadows and pastures, Forest area, Other land and Area equipped for irrigation. Detailed information on sub-categories: Temporary crops, Temporary meadows and pastures, Fallow land (temporary: less than 5 years), Permanent meadows and pastures cultivated and naturally grown and Organic land. Data are available from 1961 to 2009 for more than 200 countries and areas. Forest area: Global Forest Resource Assessment 2010 (FRA 2010) is the main source of forest area data in FAOSTAT. Data were provided by countries for years 1990, 2000, 2005 and 2010. Data for intermediate years were estimated for FAO using linear interpolation and tabulation. Some of the most interesting data for economists is found in this domain. The national distribution of land, among arable land, pastures and other lands, as well as the importance of irrigation are just some of the interesting data sets.
      • Октябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 25 ноября, 2016
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        UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labour, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labour, land and capital. Qualitative differences are important for each but are particularly difficult to summarise in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 30 декабря, 2016
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        UN FAO Resource Statistics - Pesticides Consumption The Pesticides (use) database includes data on the use of major pesticide groups (Insecticides, Herbicides, Fungicides, Plant growth regulators and Rodenticides) and of relevant chemical families. Data report the quantities (in tonnes of active ingredients) of pesticides used in or sold to the agricultural sector for crops and seeds. Information on quantities applied to single crops is not available
      • Июль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 14 декабря, 2016
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      • Ноябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 23 ноября, 2016
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        Farmers produce food and fiber using a wide variety of farm practices and management systems that differ by commodity, region, and farm and operator characteristics. The mix of inputs, practices, and technologies used by farmers, when combined with land, labor, and water resources, affects production costs; farm income; and soil, water and air quality.
      • Ноябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 06 декабря, 2016
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        Data on government sector receipts, and on taxes in particular, are basic inputs to most structural economic descriptions and economic analyses and are increasingly used in international comparisons. This annual database presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries.
      • Апрель 2017
        Источник: Global Finance Magazine
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2017
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      • Декабрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 сентября, 2016
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        Although there are clear definitions for all the terms used in this survey, countries might have different methodologies to calculate tonne-kilometer and passenger-kilometers. Methods could be based on traffic or mobility surveys, use very different sampling methods and estimating techniques which could affect the comparability of their statistics. Also, if the definition on road fatalities is very clear and well applied by most coutries, this is not the case for road injuies. Indeed, not only countries might have different definitions but the important underreporting of road injuries in most countries can distort analysis based on these data. Aggregation and consolidationOECD: Excludes non-ITF states Israel and Chile. Western European Countries (WECs): Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom. Central and Eastern European Countries (CEECs): Albania, Bulgaria, Croatia, Czech Republic, Estonia, FYROM, Hungary, Latvia, Lithuania, Montenegro, Poland, Romania, Serbia, Slovakia and Slovenia. North America: Canada, Mexico and the United States. Australasia: Australia and New Zealand. TransformationsIn case of missing data for a country, ITF can calculate estimates based generaly on the growth rates of the relevant region. These estimates are used solely to calculate aggregated trends in graphic representations and are not shown at the individual country level. 
    • S
      • Январь 2016
        Источник: National Science Foundation
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2016
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        Data collected from table 5-55 to 5-57
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 апреля, 2017
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        Demand for statistics on business demography has grown and developed considerably in recent years. Data on births and deaths of enterprises, their life expectancy and the important role they play in economic growth and productivity, as well as the information they provide for tackling social demographic issues, are increasingly requested by policy makers and analysts alike. Business demography is a core element of the OECD’s Entrepreneurship Indicators Project, where the OECD and Eurostat are collaborating to develop a framework for the regular and harmonised measurement of entrepreneurial activity and the factors that enhance or impede it. The data in this database is presented in International Standard of Industrial Classification (ISIC Revision 4).
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The OECD's Business Demography database contains information on variables such as birth rates (business entries), death rates (business exits) survival rates, or High-Growth enterprises rate for most OECD countries. Indicators are broken down by industry using the International Standard of Industrial Classification (ISIC Revision 3) and, for some of them, by employment size-class. 'Employer' indicators (i.e. covering only businesses with at least one employee) are found to be more relevant in the context of international comparisons than the indicators covering all enterprises which are sensitive to the coverage of business registers and it is expected that progressively more and more data will be provided on the 'employer' definition basis. The Eurostat-OECD Manual on Business Demography Statistics (www.oecd.org/std/industry-services/businessdemographymanual) provides guidelines for the compilation of Business Demography indicators.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2014
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        The OECD Secretariat collects a wide range of statistics on businesses and business activity. This database features the data collection of the Statistics Directorate relating to a number of key variables, such as value added, operating surplus, employment, and the number of business units, for example, broken down by 4-digit International Standard of Industrial Classification (ISIC Revision 4) industry groups (including the service sector)), referred to as the Structural Statistics on Industry and Services (SSIS) database; and by size class; referred to as the Business Statistics by Size Class (BSC) database.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 июля, 2016
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        The SSIS (Structural Statistics for Industry and Services) database, provides comparable information by detailed industrial sector (up to 4-digit level) where industries are defined according to the International Standard of Industrial Classification (ISIC) Revision 3 for the following economic variables: Turnover; Production at producers' prices; Value added at basic prices and/or factor costs; Gross operating surplus; Total purchases of goods and services;Change in stocks of goods and services; Purchases of energy products;Gross investment in tangible goods; Gross investment in land;Gross investment in existing buildings and structures; Gross investment in machinery and equipment; Number of persons engaged; Number of employees; Number of females' employees; Number of employees in full time equivalent units;Hours worked by employees; Compensation of labour, all persons engaged; Compensation of labour; Wages and salaries, all persons engaged; Wages and salaries, employees; Other employers' social contributions, employees; Number of enterprises and/or establishments. All OECD countries are covered, although the coverage of variables varies, with data typically available for the period 1995 to 2007, whereas for some countries more recent and more historical data are available. The BSC (Business Statistics by Size Class) database, provides comparable information by detailed industrial sector (up to 4-digit level) where industries are defined according to the International Standard of Industrial Classification (ISIC) Revision 3, broken down by business size for the following economic variables: Turnover; Production at producers' prices; Value added at basic prices and/or factor costs; Gross operating surplus; Total purchases of goods and services; Change in stocks of goods and services; Purchases of energy products; Gross investment in tangible goods; Gross investment in land;Gross investment in existing buildings and structures; Gross investment in machinery and equipment; Number of persons engaged; Number of employees; Number of females' employees; Number of employees in full time equivalent units;Hours worked by employees; Compensation of labour, all persons engaged; Compensation of labour; Wages and salaries, all persons engaged; Wages and salaries, employees; Other employers' social contributions, employees; Number of enterprises and/or establishments. Businesses are allocated to size classes on the basis of the number of persons engaged. The size class breakdowns used by national statistics institutes vary widely and so to improve comparability the OECD has defined five standardised size classes that are shown in this database. For most countries they conform to the following size classes: 1-9; 10-19; 20-49; 50-249 and 250+, however it is not always possible to present country data in this way; as shown in the accompanying metadata. All OECD countries are covered, although the coverage of variables varies, with data typically available for the period 1995 to 2007, whereas for some countries more recent and more historical data are available.
      • Март 2017
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 03 апреля, 2017
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        Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Foreign Affiliates in All Countries in Which Investment Was Reported
      • Февраль 2017
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 15 февраля, 2017
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        Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in Which Investment Was Reported.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 09 марта, 2017
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        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.
      • Декабрь 2013
        Источник: IndexMundi
        Загружен: Knoema
        Дата обращения к источнику: 16 декабря, 2013
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        Sheath Contraceptives of Vulcanised Rubber Exports
      • Февраль 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 06 марта, 2017
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        The Short-Term Labor Market Statistics dataset contains predominantly quarterly labor statistics, and associated statistical methodological information, for the 34 OECD member countries and selected other economies. The Short-Term Labor Market Statistics dataset covers countries that compile labor statistics from sample household surveys on a monthly or quarterly basis. It is widely accepted that household surveys are the best source for labor market key statistics. In such surveys, information is collected from people living in households through a representative sample and the surveys are based on standard methodology and procedures used internationally. The subjects available cover: working age population by age; active and inactive labor force by age; employment by economic activity, by working time and by status; and, unemployment (including monthly harmonized unemployment) by age and by duration. Data is expressed in levels (thousands of persons) or rates (e.g. employment rate) where applicable.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 03 марта, 2017
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        It presents simplified non-financial accounts, from the gross value added to the net lending/net borrowing. In this table, the total economy is broken down in three main institutional sectors: corporations, general government, households and non-profit institutions serving households. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices. Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Ноябрь 2016
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
      • Июнь 2016
        Источник: Stockholm International Peace Research Institute
        Загружен: Knoema
        Дата обращения к источнику: 22 июня, 2016
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        Military expenditure in local currency at current prices is presented according to the financial year of each country. Figures in constant (2014) US$ and as a share of GDP are present according to calendar year, calculated on the assumption that, where financial years do not correspond to calendar years, spending is distributed evenly through the year. SIPRI military expenditure data is based on open sources only, including a SIPRI questionnaire which is sent out annually to all countries included in the database. The collected data is processed to achieve consistent time series which are, as far as possible, in accordance with the SIPRI definition of military expenditure, detailed in the sources and methods.
      • Август 2015
        Источник: Scimago Lab
        Загружен: Knoema
        Дата обращения к источнику: 26 августа, 2015
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      • Июнь 2014
        Источник: Scimago Lab
        Загружен: Knoema
        Дата обращения к источнику: 04 июня, 2014
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        The SIR reports are not league tables. The ranking parameter –the scientific output of institutions- should be understood as a default rank, not our ranking proposal. The only goal of this report is to characterize research outcomes of organizations so as to provide useful scientometric information to institutions, policymakers and research manager so they are able to analyze, evaluate and improve their research results. If someone uses this report to rank institutions or to build a league table with any purpose, he/she will do it under his/her own responsibility. Output - Total number of documents published in scholarly journals indexed in Scopus (Romo-Fernández, et al., 2011). International Collaboration - Institution's output ratio produced in collaboration with foreign institutions. The values are computed by analyzing an institution's output whose affiliations include more than one country address (Guerrero-Bote, Olmeda-Gómez and Moya-Anegón, 2013; Lancho-Barrantes, Guerrero-Bote and Moya-Anegón, 2013; Lancho-Barrantes, et al., 2013; Chinchilla-Rodríguez, et al., 2012) Normalized Impact - Normalized Impact is computed using the methodology established by the Karolinska Intitutet in Sweden where it is named "Item oriented field normalized citation score average". The normalization of the citation values is done on an individual article level. The values (in %) show the relationship between an institution's average scientific impact and the world average set to a score of 1, --i.e. a NI score of 0.8 means the institution is cited 20% below world average and 1.3 means the institution is cited 30% above average (Rehn and Kronman, 2008; González-Pereira, Guerrero-Bote and Moya- Anegón, 2011). High Quality Publications - Ratio of publications that an institution publishes in the most influential scholarly journals of the world, those ranked in the first quartile (25%) in their categories as ordered by SCImago Journal Rank (SJRII) indicator (Miguel, Chinchilla-Rodríguez and Moya-Anegón, 2011). Specialization Index - The Specialization Index indicates the extent of thematic concentration /dispersion of an institution’s scientific output. Values range between 0 and 1, indicating generalist vs. specialized institutions respectively. This indicator is computed according to the Gini Index used in Economy (Moed, et. al., 2011; López-Illescas, Moya-Anegón and Moed, 2011; Arencibia-Jorge et al., 2012). In this indicator, when the value is 0 it means that the data are not sufficient to calculate. Excellence Rate - Excellence rate indicates the amount (in %) of an institution’s scientific output that is included into the set of the 10% of the most cited papers in their respective scientific fields. It is a measure of high quality output of research institutions (SCImago Lab, 2011; Bornmann, Moya-Anegón and Leydesdorff, 2012; Guerrero-Bote and Moya-Anegón, 2012). Scientific Leadership - Leadership indicates an institution’s “output as main contributor”, that is the number of papers in which the corresponding author belongs to the institution (Moya-Anegón, 2012; Moya-Anegón et. al, 2013; Moya-Anegón, et al., forthcoming) Excellence with Leadership - Excellence with Leadership indicates the amount of documents in the Excellence rate in which the institution is the main contributor (Moya-Anegón, et al., 2013).
      • Январь 2015
        Источник: Friedrich Schneider
        Загружен: Knoema
        Дата обращения к источнику: 18 октября, 2016
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        The calculation of the size and development of the shadow economy is done with the MIMIC (Multiple Indicators and Multiple Courses) estimation procedure. Using the MIMIC estimation procedure one gets only relative values and one needs other methods like the currency demand approach or the income discrepancy method, to calibrate the MIMIC values into absolute ones. The calculated values for 2014 are projections for some countries, for 2015 they are projections for all countries, based on the forecasts of the official figures (GDP, unemployment, etc.) of these countries.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 января, 2017
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        The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 35 OECD countries for the period 1980-2013/14 and estimates for aggregates for 2014-16. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of net total social spending for 2013 for 34 OECD countries.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 13 января, 2017
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        The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 35 OECD countries for the period 1980-2013/14 and estimates for aggregates for 2014-16. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of net total social spending for 2013 for 34 OECD countries.
      • Февраль 2016
        Источник: Social Progress Imperative
        Загружен: Knoema
        Дата обращения к источнику: 27 сентября, 2016
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        The Social Progress Index is the result of a two-year process guided by a team of scholars and policy experts. It synthesizes a huge body of research to identify the dimensions of social and environmental performance of societies. The Index incorporates four key design principles: 1. Exclusively social and environmental indicators: our aim is to measure social progress directly, rather than utilize economic proxies. By excluding economic indicators, we can, for the first time, analyze the relationship between economic development (measured for example by GDP per capita) and social development rigorously and systematically. Prior efforts to move “beyond GDP” have commingled social and economic indicators, making it more difficult to disentangle cause and effect. 2. Outcomes not inputs: our aim is to measure the outcomes that matter to the lives of real people. For example, we want to measure the health and wellness achieved by a country, not how much effort is expended nor how much the country spends on healthcare. 3. Actionability: the Index aims to be a practical tool that will help leaders and practitioners in government, business and civil society to implement policies and programs that will drive faster social progress. To achieve that goal, we measure outcomes in a granular way that links to practice. The Index has been structured around 12 components and 54 distinct indicators. The framework allows us to not only provide an aggregate country score and ranking, but also supports granular analyses of specific areas of strength and weakness. Transparency of measurement using a comprehensive framework helps change-makers identify and act upon the most pressing issues in their societies. 4. Relevance to all countries: our aim is to create a holistic measure of social progress that encompasses the health of societies. Most previous efforts have focused on the poorest countries, for understandable reasons. But knowing what constitutes a healthy society for higher-income countries is indispensable in charting a course to get there. These design principles are the foundation for our conceptual framework that defines social progress in an inclusive and comprehensive way. We define social progress as the capacity of a society to meet the basic human needs of its citizens, establish the building blocks that allow citizens and communities to enhance and sustain the quality of their lives, and create the conditions for all individuals to reach their full potential. This definition reflects an extensive and critical review and synthesis of both academic and practitioner literature in a wide range of development topics.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        Recommended uses and limitations of STANIt is recommended that STAN is primarily used for broad analyses, particularly at the detailed level where many of the data points are estimated. For example, looking at trends or average growth rates and shares over a few years or general modelling. This also applies to any indicators that may be calculated (see Annex. 2 in the full documentation for examples). Where the data points are official National Accounts (often at more aggregate industry levels) there is more scope for precise analyses such as looking at year-on-year growth rates. STAN is based on data that Member countries provide. Detailed data collections independent of national statistical offices are not performed. In other words, we do not have the scope to build up National Accounts compatible tables from detailed data using consistent methodologies across countries. Therefore, when comparing variables or indicators across countries, users should refer to the STAN country notes to check for industry inclusions and variable definitions. Some comprises may be necessary in terms of the level of detail analysed.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 ноября, 2014
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      • Январь 2010
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2014
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        TAN Indicators are compiled to respond to the needs of analysts and researchers interested in measuring economic performance and structural changes. They also complement the OECD publications, Science Technology and Industry Scoreboard and Economic Globalisation Indicators.In this edition, STAN Indicators consist of 35 measures related to the production and employment structure, the labour productivity and labour costs, the investment, the business research and development expenditures and the international trade performance.The underlying measures used for calculations are:- Values of exports and imports of goods, at current prices from STAN Bilateral Trade Database- Production, intermediate consumption, value added, labour compensation, gross fixed capital formation, at current prices from STAN Database for Structural Analysis- Value added volumes and employment from STAN Database for Structural Analysis- Research & Development expenditures, at current prices from STAN R&D Expenditure in IndustryMost of STAN Indicators are presented for all OECD countries and a certain number of zones (i.e. country groups) such as the G7, the EUs, etc.The composition of these groups varies according to the indicators in order to optimise the industry and period coverage.Country groups are not based on weighted averages.STAN Indicators cover the period 1970-2008, although the time-coverage may vary considerably across countries /zones and indicators. Indicators are provided for a wide range of economic activities (according to an ISIC Rev.3 based hierarchy) compatible with the list in the underlying STAN Database.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2014
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      • Март 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 сентября, 2014
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        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.
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2016
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        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.
      • Март 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        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 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.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 06 июня, 2016
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        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.
      • Март 2012
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        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.
      • Февраль 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 мая, 2016
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        The OECD’s ANalytical Business Enterprise Research and Development (ANBERD) database presents annual data on R&D expenditures by industry and was developed to provide analysts with comprehensive data on industrial R&D expenditures that address the problems of international comparability and breaks in the time series of official business enterprise R&D data. The ANBERD database includes a number of estimations and is published under the responsibility of the Secretary General of the OECD as it does not represent Member countries’ official submissions of business enterprise R&D data. The current version of the ANBERD database presents industrial R&D expenditure data broken down in up to 100 manufacturing and services sectors for OECD countries and selected non-member economies from 1987 onwards. For the first time, the reported data are in ISIC Revision 4 and are expressed in national currencies as well as in PPP US dollars, both at current and constant prices. The ANBERD data are updated continuously on a rolling basis and additional countries will be included in the coming months as they become available.
      • Ноябрь 2016
        Источник: World Steel Association
        Загружен: Knoema
        Дата обращения к источнику: 13 декабря, 2016
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        Worldsteel’s Steel Statistical Yearbook presents a cross-section of steel industry statistics. It contains comprehensive statistics from (1991 - 2015) on crude steel production by process, steel production by product, steel trade by product, apparent steel use, and production of pig iron and directly reduced iron. It also includes data on production and trade of iron ore and trade of scrap as well as data on indirect exports and imports of steel and true steel use. The statistics were collected from members of worldsteel and various international organisations.
      • Апрель 2017
        Источник: Investing.com
        Загружен: Knoema
        Дата обращения к источнику: 28 апреля, 2017
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        Stock Market Performance Indices
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 июня, 2016
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        The OECD indicators of employment protection are synthetic indicators of the strictness of regulation on dismissals and the use of temporary contracts. For each year, indicators refer to regulation in force on the 1st of January. The indicator of strictness of employment protection - collective dismissals (additional provisions) - measures additional costs and procedures involved in dismissing more than one worker at a time (compared with the cost of individual dismissal). It incorporates 4 data items. For more information and full methodology, see www.oecd.org/employment/protection. Other Aspects Recommended uses and limitations The indicator for collective dismissal measures additional costs and procedures involved in dismissing more than one worker compared with the costs of individual dismissal. As such, it should not be used in isolation from the indicator of strictness of employment protection - individual dismissals (regular contracts).
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 июня, 2016
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        The OECD indicators of employment protection are synthetic indicators of the strictness of regulation on dismissals and the use of temporary contracts. For each year, indicators refer to regulation in force on the 1st of January. Version 1 of the indicator of strictness of employment protection - individual and collective dismissals (regular contracts) - does not incorporate all the data items of version 3 and, in particular, does not incorporate regulation of collective dismissals. You should only use version 1 if you need data for years for which neither version 2 nor 3 are available.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 30 июня, 2016
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        The OECD indicators of employment protection are synthetic indicators of the strictness of regulation on dismissals and the use of temporary contracts. For each year, indicators refer to regulation in force on the 1st of January. For more information and full methodology, see www.oecd.org/employment/protection.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 июня, 2016
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        The OECD indicators of employment protection are synthetic indicators of the strictness of regulation on dismissals and the use of temporary contracts. For each year, indicators refer to regulation in force on the 1st of January. For more information and full methodology, see www.oecd.org/employment/protection.
      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 мая, 2014
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        Eurostat Dataset Id:educ_bo_ac_el1t The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening access educ_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age B. Study framework educ_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education C. Student and staff mobility educ_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country) D. Effective outcomes and employability educ_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A   The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities: Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Декабрь 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 27 мая, 2014
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        Eurostat Dataset Id:educ_bo_mo_el8o The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes, personnel in education and the cost and type of resources dedicated to education. The main source of data is the joint UIS (UNESCO Institute of Statistics)/OECD/Eurostat (UOE) questionnaires on education statistics, which constitute the core database on education. Data on regional enrolments and foreign language learning are collected additionally by Eurostat. Countries provide data, coming from administrative records, on the basis of commonly agreed definitions. From the UOE data collection, the following datasets on the Bologna Process are available: A. Widening access educ_bo_ac_ent2: Net entry rate (ISCED 5A) by age and sexeduc_bo_ac_ent3: Female entrants by field of education (ISCED 5A)educ_bo_ac_gent: Entrants at ISCED 5A and qualifying graduates of secondary schooling (ISCED 3A - 4A)educ_bo_ac_el1t: Students (ISCED 5A) studying part-time, by age B. Study framework educ_bo_fi_fgdp: Public expenditure on tertiary education (ISCED 5-6), as % of GDP or total public expenditureeduc_bo_fi_ftot: Annual total expenditure on educational institutions (ISCED 5-6) per full-time equivalent student with and without expenditure on research and ancillary serviceseduc_bo_fi_ffun: Tertiary education institutions' income from private sources (households and other private entities) as % of all public and private sourceseduc_bo_fi_fiaid: Public financial aid to tertiary students (ISCED 5-6), by type of aid, as % of public expenditure on tertiary education C. Student and staff mobility educ_bo_mo_el8o: Students (ISCED 5A and 6) who are nationals of a given country, studying in another country (EU-27, EFTA and CC) as % of the total enrolment in that countryeduc_bo_mo_el8i: Number of foreign students (world and Bologna Area) studying in a given country, as % of the total enrolment in that country, ISCED 5A and 6educ_bo_mo_gr4: Graduates (ISCED 5A and 6) from abroad (non-citizens, permanent residence and prior education outside the country) D. Effective outcomes and employability educ_bo_ou_gren: Gross graduation rate and net entry rate, ISCED 5A   The data for some countries which do not participate in the UOE data collection were provided to Eurostat specifically for the monitoring of the Bologna Process. Not being fully integrated in the UOE, the data sometimes might not be as comparable as the data for the remaining countries, due to differences in the underlying data sources and definitions. These data were provided by the following entities: Andorra (AD): data provided by the University of Andorra (indicators educ_bo_ac_ent3, educ_bo_fi_ffun, educ_bo_mo_el8i, educ_bo_mo_gr4)Armenia (AM): data provided by the Ministry of Education and Science (educ_bo_ac_gent, educ_bo_ac_el1t, educ_bo_mo_gr4, educ_bo_ou_gren)Georgia (GE): data provided by the NSI, Statistics Georgia (educ_bo_ac_ent3, educ_bo_ac_el1t, educ_bo_fi_fgdp, educ_bo_mo_gr4)Serbia (RS): data provided by the NSI, Statistical Office of the Republic of Serbia (educ_bo_mo_el8i)Ukraine (UA): data provided by the NSI, State Statistics Committee for Ukraine (educ_bo_ou_gren, educ_bo_ac_el1t, educ_bo_mo_el8i, educ_bo_mo_gr4, educ_bo_ou_gren)
      • Сентябрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 октября, 2014
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        For data aligned to Finance, the year shown is the calendar year. For data aligned to personnel, the year shown is the year in which the end of the school year falls (e.g. 2002 refers to the school year 2001/2002), with the exceptions of Korea where the year refers to the year in which the school year begins and Australia and New Zealand where the school academic year corresponds to the calendar year.
      • Сентябрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 октября, 2014
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        The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Exceptions to this may be required: at the pre-primary level of education a gradual inflow may exist and, therefore, an average over several counting dates may be preferable. At the tertiary level the enrolment of students may not be stable enough at the beginning of the academic year and therefore a count at a later point may be preferable. Adult education programmes cover the learning activity of those returning to education after having left initial (or "regular") education. Only programmes (of at least one semester) that are similar to regular education (in subject content or potential qualifications) are included. In some countries, there are, in addition, adult education that are not similar to regular education; these programmes are not included.
      • Сентябрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 октября, 2014
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        The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Exceptions to this may be required: at the pre-primary level of education a gradual inflow may exist and, therefore, an average over several counting dates may be preferable. At the tertiary level the enrolment of students may not be stable enough at the beginning of the academic year and therefore a count at a later point may be preferable. Adult education programmes cover the learning activity of those returning to education after having left initial (or "regular") education. Only programmes (of at least one semester) that are similar to regular education (in subject content or potential qualifications) are included. In some countries, there are, in addition, adult education that are not similar to regular education; these programmes are not included.
      • Февраль 2015
        Источник: World Life Expectancy
        Загружен: Knoema
        Дата обращения к источнику: 07 мая, 2015
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      • Декабрь 2013
        Источник: DatabaseSports
        Загружен: Knoema
        Дата обращения к источнику: 12 декабря, 2013
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        Summer Olympics
      • Декабрь 2013
        Источник: DatabaseSports
        Загружен: Knoema
        Дата обращения к источнику: 12 декабря, 2013
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        Summer Olympics
      • Февраль 2017
        Источник: Fraser Institute
        Загружен: Knoema
        Дата обращения к источнику: 03 апреля, 2017
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        The Fraser Institute Annual Survey of Mining Companies was sent to approximately 4,100 exploration, development, and other mining-related companies around the world. Several mining publications and associations also helped publicize the survey. The survey, conducted from October 9, 2012, to January 6, 2013, represents responses from 742 of those companies. The companies participating in the survey reported exploration spending of US$6.2 billion in 2012 and US$ 5.4 billion in 2011.
      • Август 2011
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 сентября, 2014
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        Survey on Monitoring the Paris Declaration. The dataset contains data as reported by donors and national co-ordinators in participating partner countries. The dataset includes all quantitative data collected through the 2006, 2008 and 2011 Surveys.
      • Сентябрь 2016
        Источник: Sustainable Development Solutions Network
        Загружен: Knoema
        Дата обращения к источнику: 02 декабря, 2016
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      • Сентябрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 23 марта, 2016
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        The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.
      • Октябрь 2016
        Источник: Sustainable Governance Indicators
        Загружен: Knoema
        Дата обращения к источнику: 25 ноября, 2016
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        The SGI is a platform built on a cross-national survey of governance that identifies reform needs in 41 EU and OECD countries. The SGI brings together a broad network of experts and practitioners aiming to understand what works best in sustainable governance. Advocating the exchange of best practices, we offer full access to our data set and enable the comparisons that generate innovation in governance.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        Synthetic FertilizersGreenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided
    • T
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 июля, 2016
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        This data is updated after the finalisation of the Taxing Wages publication for the corresponding year.This table reports marginal personal income tax and social security contribution rates for a single person without dependent, at various multiples (67%, 100%, 133%, 167%) of the AW/APW.The average wage (AW) by country and year can be found within the Taxing Wages comparative tables dataset, under the indicator heading: Total gross earnings before taxes (national currency). The AW is based on a single person at 100% of average earnings, no child.The results, derived from the OECD Taxing Wages framework (elaborated in the annual publication Taxing Wages), use tax rates applicable to the tax year. The results take into account basic/standard income tax allowances and tax credits and include family cash transfers (see Taxing Wages).The marginal rates are expressed as a percentage of gross wage earnings, with the exception of the Total tax wedge which is expressed as a percentage of gross labour costs (gross wages + employer SSC).The sub-central personal tax rates used in this table correspond to those used in Taxing Wages. The figures may differ from those published in Taxing Wages where updated information is available, such as revised AW/APW data.Further explanatory notes may be found in the Explanatory Annex.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 08 июля, 2016
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        This data is updated after the finalisation of the Taxing Wages publication for the corresponding year.This table reports average personal income tax and social security contribution rates for a single person without dependent, at various multiples (67%, 100%, 133%, 167%) of the AW/APW.The average wage (AW) by country and year can be found within the Taxing Wages comparative tables dataset, under the indicator heading: Total gross earnings before taxes (national currency). The AW is based on a single person at 100% of average earnings, no child.The results, derived from the OECD Taxing Wages framework (elaborated in the annual publication Taxing Wages), use tax rates applicable to the tax year. The results take into account basic/standard income tax allowances and tax credits and include family cash transfers (see Taxing Wages).The marginal rates are expressed as a percentage of gross wage earnings, with the exception of the Total tax wedge which is expressed as a percentage of gross labour costs (gross wages + employer SSC). The sub-central personal tax rates used in this table correspond to those used in Taxing Wages.The figures may differ from those published in Taxing Wages where updated information is available, such as revised AW/APW data.Further explanatory notes may be found in the Explanatory Annex.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 ноября, 2016
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        The simple approach of comparing the tax/benefit position of example households avoids many of the conceptual and definitional problems involved in more complex international comparisons of tax burdens and transfer programmes. However, a drawback of this methodology is that the earnings of an average worker will usually occupy a different position in the overall income distribution in different economies, although the earnings relate to workers in similar jobs in various OECD Member countries. Because of the limitations on the taxes and benefits covered in the Report, the data cannot be taken as an indication of the overall impact of the government sector on the welfare of taxpayers and their families. Complete coverage would require studies of the impact of indirect taxes, the treatment of non-wage labour income and other income components under personal income taxes and the effect of other tax allowances and cash benefits. Complete coverage would also require that consideration be given to the effect on welfare of services provided by the state, either free or below cost, and the incidence of corporate and other direct taxes on earnings and prices. Such a broad coverage is not possible in an international comparison of all OECD countries. The differences between the results shown here and those of a full study of the overall impact on employees of government interventions in the economy would vary from one country to another. They would depend on the relative shares of different kinds of taxes in government revenues and on the scope and nature of government social expenditures. The Report shows only the formal incidence of taxes on employees and employers. The final, economic incidence of taxes may be quite different, because the tax burden may be shifted from employers onto employees and vice versa by market adjustments to gross wages. The income left at the disposal of a taxpayer may represent different standards of living in various countries because the range of goods and services on which the income is spent and their relative prices differ as between countries. In those countries where the general government sector provides a wide range of goods and services (generous basic old age pension, free health services, public housing, university education, etcetera), the taxpayer may be left with less cash income but may enjoy the same living standards as a taxpayer receiving a higher cash income but living in a country where there are fewer publicly provided goods and services.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 января, 2017
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        It provides a faithful image, to the greatest extent possible, of the aggregates and balances of the general government sectorData are also available, for most countries, for the sub-sectors of general government.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 17 ноября, 2016
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        This current Taxing Wages model has evolved from 2 earlier versions. The latest version is based on calculations for the Average Worker (AW) in the private sector (see glossary term), and the results are shown for 8 household types covering one- and two-earner families of varying size and different fractions of average gross wage earnings. There are 14 separate tax burden measures that describe the tax and benefit position of these families.This approach was first followed in the 2005-2006 Taxing Wages publication, which also applied these assumptions to calculate tax burden measures as of 2000. These assumptions have been applied since then in the more recent Taxing Wages publications and website databases.The first version of the Taxing Wages model (historical model A) was based on a more narrow definition of the average worker: the Average Production Worker (APW) solely from the manufacturing sector (see glossary term). It included only two of the current 8 family types, and the results are shown for only 3 of the existing 14 tax burden measures. This model was applied to data for years 1979-2004.The second version (historical model B) continued to use the Average Production Worker (APW) basis for its calculations, but was expanded to cover the full 8 family types that are currently used, and increased the number of tax burden measures to 12 of the 14 currently used. This model was applied to data for years 1997-2004.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 02 декабря, 2016
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        This table provides information on terms of trade and purchasing power indices which are calculated at the level of individual countries, geographical regions, and economic groupings. See notes below for explanations of each indicator.
      • Апрель 2013
        Источник: Chinn-Ito Index
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2013
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        The Chinn-Ito index (KAOPEN) is an index measuring a country's degree of capital account openness. The index wasinitially introduced in Chinn and Ito (Journal of Development Economics, 2006). KAOPEN is based on the binary dummy variables that codify the tabulation of restrictions on cross-border financial transactions reported in the IMF's Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER).   Chinn, Menzie D. and Hiro Ito (2008). "A New Measure of Financial Openness". Journal of Comparative Policy Analysis, Volume 10, Issue 3, p. 309 – 322 (September). Ito, Hiro (2006). "Financial Development in Asia: Thresholds, Institutions, and the Sequence of Liberalization". North American Journal of Economics and Finance, issue 17(3) (December). Chinn, Menzie D. and Hiro Ito (2006)."What Matters for Financial Development? Capital Controls, Institutions, and Interactions," Journal of Development Economics, Volume 81, Issue 1, Pages 163-192 (October). The longer version is available as NBER Working Paper No. 11370 (May 2005). The previous version is "Capital Account Liberalization, Institutions and Financial Development: Cross Country Evidence," (with Menzie Chinn) NBER Working Paper Series, #8967 (June 2002).  
      • Ноябрь 2015
        Источник: Save the Children Federation
        Загружен: Knoema
        Дата обращения к источнику: 07 декабря, 2015
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      • Январь 2017
        Источник: The Economist
        Загружен: Knoema
        Дата обращения к источнику: 27 февраля, 2017
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      • Сентябрь 2016
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 19 октября, 2016
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        The World Economic Forum’s Centre for Global Competitiveness and Performance through its Global Competitiveness Report and report series, aims to mirror the business operating environment and competitiveness of over 140 economies worldwide. The report series identify advantages as well as impediments to national growth thereby offering a unique benchmarking tool to the public and private sectors as well as academia and civil society.The Centre works with a network of Partner Institutes as well as leading academics worldwide to ensure the latest thinking and research on global competitiveness are incorporated into its reports.
      • Декабрь 2013
        Источник: Transparency International
        Загружен: Knoema
        Дата обращения к источнику: 20 февраля, 2014
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        Global Corruption Barometer is the largest world-wide public opinion survey on corruption - See more at: http://www.transparency.org/gcb2013/in_detail#sthash.hey9okGH.dpuf
      • Март 2017
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        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.
      • Декабрь 2016
        Источник: Walk Free Foundation
        Загружен: Knoema
        Дата обращения к источнику: 09 января, 2017
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        This is the second edition of the Global Slavery Index, the flagship report of the Walk Free Foundation. The Global Slavery Index estimates the number of people in modern slavery in 167 countries. It is a tool for citizens, non government organisations, businesses and public officials to understand the size of the problem, existing responses and contributing factors, so they can build sound policies that will end modern slavery. The Global Slavery Index answers the following questions: What is the estimated prevalence of modern slavery country by country, and what is the absolute number by population? How are governments tackling modern slavery? What factors explain or predict the prevalence of modern slavery?
      • Июнь 2016
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 12 июля, 2016
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        The Human Capital Index seeks to serve as a tool for capturing the complexity of education, employment and workforce dynamics so that various stakeholders are able to make better-informed decisions. Last year’s edition of the World Economic Forum’s Human Capital Report explored the factors contributing to the development of an educated, productive and healthy workforce. This year’s edition deepens the analysis by focusing on a number of key issues that can support better design of education policy and future workforce planning.
      • Март 2013
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 03 марта, 2014
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        The CDS (the Common Data Set) is a joint effort by Eurostat, OECD, UNSD, UNCTAD and WTO to reconcile their time series on merchandise trade statistics, using international standards as a benchmark. Each agency is in charge of supplying figures for a predefined set of reporting economies (see Data Providing Agencies and Sources). Reconciliations, co-ordinated by WTO, consist of scrutinising significant differences between the agencies' data to determine the best value. In many instances, this results in finding an agreement on substitution values and estimates. Thus, the CDS database gives access to statistics and documentation of both officially reported and reconciled series. It covers annual total merchandise export and import values of over 200 economies for the period 1995 to 2011.
      • Декабрь 2015
        Источник: International Benchmarking Network for Water and Sanitation Utilities
        Загружен: Knoema
        Дата обращения к источнику: 12 января, 2016
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      • Сентябрь 2015
        Источник: International Budget Partnership
        Загружен: Knoema
        Дата обращения к источнику: 09 июня, 2016
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        The Open Budget Index assigns countries covered by the Survey a transparency score on a 100-point scale using 92 questions from the Survey — these questions focus specifically on whether the government provides the public with timely access to comprehensive information contained in eight key budget documents. The Open Budget Index measures the overall commitment of countries to transparency and allows for comparisons among countries.
      • Декабрь 2016
        Источник: World Justice Project
        Загружен: Knoema
        Дата обращения к источнику: 25 января, 2017
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        The World Justice Project (WJP) Rule of Law Index® is a quantitative assessment tool designed by the World Justice Project to offer a detailed and comprehensive picture of the extent to which countries adhere to the rule of law in practice.Factors of the WJP Rule of Law Index include:1. Constraints on Government Powers2. Absence of Corruption3. Open Government4. Fundamental Rights5. Order and Security6. Regulatory Enforcement7. Civil Justice8. Criminal Justice(Data is collected for a 9th factor, Informal Justice, but it is not included in aggregated scores and rankings. This is due to the complexities of these systems and the difficulties in measuring their fairness and effectiveness in a matter that is both systematic and comparable across countries.)Every year WJP collects data from representative samples of the general public and legal professionals to compute the index scores. The data, once collected, are carefully processed to arrive at country-level scores. The respondent level data is first edited to exclude partially-completed surveys, suspicious data, and outliers. Individual answers are then mapped on to the 44 sub-factors of the index. Answers are coded so that all values fall between 0 (least rule of law) and 1 (most rule of law), and aggregated at country level using the simple, or unweighted, average of all respondents.For elaborations on the factors included in the index please visit: http://worldjusticeproject.org/rule-of-law-index/
      • Февраль 2015
        Источник: Keele University
        Загружен: Knoema
        Дата обращения к источнику: 24 апреля, 2015
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        This water poverty index is a first pass at trying to establish an international measure comparing performance in the water sector across countries in a holistic way that brings in the diverse aspects and issues that are relevant. It does seem to give some sensible results but it does not pretend to be definitive nor offer a totally accurate measure of the situation.
      • Октябрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 28 июля, 2016
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        Global data on individuals, firms, and the business environments.
      • Июнь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 03 июля, 2015
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      • Апрель 2016
        Источник: The World Wealth and Income Database
        Загружен: Knoema
        Дата обращения к источнику: 12 апреля, 2016
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        Alvaredo, Facundo, Anthony B. Atkinson, Thomas Piketty and Emmanuel Saez, The World Top Incomes Database, http://topincomes.g-mond.parisschoolofeconomics.eu There has been a marked revival of interest in the study of the distribution of top incomes using tax data. Beginning with the research by Thomas Piketty (2001, 2003) of the long-run distribution of top incomes in France, a succession of studies has constructed top income share time series over the long-run for more than twenty countries to date. These projects have generated a large volume of data, which are intended as a research resource for further analysis. The world top incomes database aims to providing convenient on line access to all the existent series. This is an ongoing endeavour, and we will progressively update the base with new observations, as authors extend the series forwards and backwards. Despite the database's name, we will also add information on the distribution of earnings and the distribution of wealth. As the map below shows, around forty-five further countries are under study, and will be incorporated at some point (see Work in Progress). The first twenty-two country-studies have been included in two volumes edited by Anthony B. Atkinson and Thomas Piketty: Top Incomes over the Twentieth Century: A Contrast between Continental European and English-Speaking Countries (2007), and Top Incomes over the Twentieth Century: A Global Perspective (2010). They cover several European countries (France, Germany, Netherlands, Switzerland, UK, Ireland, Norway, Sweden, Finland, Portugal, Spain, Italy), Northern America (United States and Canada), Australia and New Zealand, one Latin American country (Argentina), and five Asian countries (Japan, India, China, Singapore, Indonesia). South Africa, Mauritius, Tanzania and Denmark have been recently added to the list.
      • Август 2012
        Источник: Bloomberg
        Загружен: Knoema
        Дата обращения к источнику: 16 августа, 2012
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        To identify the healthiest countries in the world, Bloomberg Rankings created health scores and health-risk scores for countries with populations of at least 1 million. The risk score was subtracted from the health score to determine the country''s rank. Five-year averages, when available, were used to mitigate some of the short-term year-over-year swings.
      • Октябрь 2011
        Источник: Pacific Institute
        Загружен: Knoema
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        Water is one of our most critical resources, but around the world it is under threat. Worldwater.org is dedicated to providing information and resources to help protect and preserve fresh water around the globe.
      • Декабрь 2013
        Источник: Strategy&
        Загружен: Knoema
        Дата обращения к источнику: 24 декабря, 2013
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      • Март 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2017
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        Data is a snapshot of the current year,2017 as of when it was collected.   The data presented here refer to the latest year available, which corresponds to the late 2000s for most countries. The data on the state of threatened species build on country replies to the Annual Quality Assurance (AQA) of OECD environmental reference series. These data are harmonized through the work of the OECD Working Party on Environmental Information (WPEI). Some where updated or revised on the basis of comments from national Delegates and in the framework of the OECD Environmental Performance Reviews. When interpreting these data, it should be borne in mind that the number of species known does not always accurately reflect the number of species in extistence and that varying definitions can limit comparability across countries. Species assessed as Critically Endangered (CR), Endangered (EN), or Vulnerable (VU) are referred to as "threatened" species. Reporting the proportion of threatened species on The IUCN Red List is complicated by the fact that not all species groups have been fully evaluated, and also by the fact that some species have so little information available that they can only be assessed as Data Deficient (DD). For many of the incompletely evaluated groups, assessment efforts have focused on species that are likely to be threatened; therefore any percentage of threatened species reported for these groups would be heavily biased (i.e., the % threatened species would likely be an overestimate).
      • Октябрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 октября, 2016
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        Since new and young firms contribute critically to job creation, innovation and growth, observing recent trends of firm formation provides valuable information to policy makers
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 10 мая, 2016
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        This table shows the top statutory personal income tax rate and top marginal tax rates for employees at the earnings threshold where the top statutory PIT rate first applies.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 октября, 2016
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        This table provides estimates from 1950 to 2015 and projections from 2016 to 2050 (Medium Variant), of total population and urban population, expressed in thousands and as a percentage of total population, respectively.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 января, 2017
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        Official and Private Flows - Disbursements and Commitments. Aggregate data (no breakdown by recipient) on ODA, OOF, private and NGO data by donor, type of aid and flow. The data cover flows from all bilateral and multilateral donors except for Tables DAC1, DAC4, DAC5 and DAC7b which focus on flows from DAC member countries and the EU Institutions.
      • Октябрь 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 03 ноября, 2014
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        Estimates and forecasts on labour force data: (1) Total labour force and female labour force, expressed in thousands (2) Total agriculture labour force and female labour force, expressed in thousands.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 января, 2017
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        Total Official Flows: the sum of Official Development Assistance (ODA) and Other Official Flows (OOF) represents the total (gross or net) disbursements by the official sector at large to the recipient country shown.
      • Декабрь 2015
        Источник: World Intellectual Property Organization
        Загружен: Knoema
        Дата обращения к источнику: 22 августа, 2016
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        Data cited at, 1. https://kapsarc.opendatasoft.com/explore/dataset/total-patent-applications-total-count-by-applicants-origin-2010_2014  
      • Август 2006
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 сентября, 2014
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        For non-EU countries, UNESCO-OECD-Eurostat (UOE) data collection on education statistics, compiled on the basis of national administrative sources, reported by Ministries of Education or National Statistical Offices. For EU countries, Eurostat data.
      • Апрель 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2017
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        Total Receipts, Net: in addition to Official Development Assistance, this heading includes in particular: other official bilateral transactions which are not concessional or which, even though they have concessional elements, are primarily trade facilitating in character (i.e., "Other Official Flows''); changes in bilateral long-term assets of the private non-monetary and monetary sectors, in particular guaranteed export credits, private direct investment, portfolio investment and, to the extent they are not covered in the preceding headings, loans by private banks. Flows from the multilateral sector which are not classified as concessional are also included here.
      • Декабрь 2015
        Источник: National Bureau of Statistics of the Republic of Moldova
        Загружен: Knoema
        Дата обращения к источнику: 10 декабря, 2015
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        Tourism & Transport Statistics of Moldova, 2015
      • Январь 2017
        Источник: TRACE International
        Загружен: Knoema
        Дата обращения к источнику: 23 января, 2017
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        'The TRACE Matrix measures business bribery risk in all countries. Developed in collaboration with RAND Corporation, the TRACE Matrix provides the business community with a powerful new tool for anti-bribery risk assessment. It assesses countries across four domains – Business Interactions with Government, Anti-bribery Laws and Enforcement, Government and Civil Service Transparency, and the Capacity for Civil Society Oversight, including the role of the media – as well as nine sub-domains. Business interactions with government includes the sub-domains of “contact with government,” “expectation of paying bribes” and “regulatory burden.” These indicators capture aspects of the “touches with government” that TRACE identified as very important for business bribery through regulatory and business interviews they conducted.Anti-corruption laws enacted by a country and information about enforcement of those laws.Government and civil service transparency, which includes indicators concerning whether government budgets are publicly available and whether there are regulations addressing conflicts of interest for civil servants.Information concerning the extent of press freedom and social development, both of which serve as indicators of a robust civil society that can provide government oversight. The overall country risk score is a combined and weighted score of four domains.For each of these four "domains" (and related sub-domains), the TRACE Matrix aggregates relevant data obtained from leading public interest and international organizations, including the United Nations, the World Bank and the World Economic Forum. Based on statistical analysis of this information, each country is assigned not only an overall score between 1 and 100—with 100 representing the greatest risk—but also scores for each of the four domains and nine sub-domains.'
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 29 февраля, 2016
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      • Август 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 февраля, 2016
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        This dataset shows import and export values (in millions of UDS) using product classification at 2-digit level of CPA classification.
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 03 марта, 2016
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        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.
      • Июль 2009
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 сентября, 2014
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        The central issue of trade by enterprise characteristics is to try to classify trade operators according to enterprise characteristics and the feasibility of doing so largely depends on the possibility of using or developing common identifiers between the trade register and the business register. Countries are different in their ability to perform such a linking, and matching ratios (between business and trade registers) vary between countries, thus the degree of representativeness of the results varies between countries.
      • Декабрь 2013
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 10 ноября, 2016
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        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.
      • Август 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 сентября, 2015
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        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 TEC data are collected in co-operation with Eurostat, directly from the National Statistical Offices, through a linkage exercise between trade and business registers.
      • Декабрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        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.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 февраля, 2017
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        The types of services are presented according to the services classification of the 1993 Fifth edition of the Balance of Payments Manual of the International Monetary Fund (BPM5) and its detailed extension, the Extended Balance of Payments Services (EBOPS) Classification.
      • Апрель 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 03 июня, 2014
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        This table presents trade in services by service category for individual countries, expressed in millions of dollars and as percentages of a country's total trade in services. The commercial services, which exclude government services and follow the GATS definition, are included as well.
      • Август 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 10 сентября, 2015
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        The database on statistics of international trade in services broken down by partner country provides statistics on international trade in services by partner country for 29 OECD countries plus EU, Euro Area, European Union Institutions, Hong Kong (SAR China) and the Russian Federation as well as definitions and methodological notes. The data concern trade between residents and non-residents of countries and are reported within the framework of the Manual on Statistics of International Trade in Services.  Sector coverage The aim of the publication is to assemble and disseminate balance of payments data on trade in services at the most detailed partner-country level available. To the extent that countries report them, data are also broken down by type of service according to the EBOPS classification.  
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2014
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        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.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 мая, 2016
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        Trade union density corresponds to the ratio of  wage and salary earners that are trade union members, divided by the total number of wage and salary earners (OECD Labour Force Statistics). Density is calculated using survey data, wherever possible, and administrative data adjusted for non-active and self-employed members  otherwise.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 23 ноября, 2016
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        The lack of common definitions and practices to measure transport infrastructure spending hinders comparisons between countries and spending options. Data for road and rail infrastructure are the most comprehensive while data on sea port and airport spending are less detailed in coverage and definition. While our survey covers all sources of financing a number of countries exclude private spending, including Japan and India. Around 65% of countries report data on urban spending while for the remaining countries data on spending in this area are missing. Indicators such as the share of GDP needed for investment in transport infrastructure, depend on a number of factors, such as the quality and age of existing infrastructure, maturity of the transport system, geography of the country and transport-intensity of its productive sector. Caution is therefore required when comparing investment data between countries. However, data for individual countries and country groups are consistent over time and useful for identifying underlying trends and changes in levels of spending, especially for inland transport infrastructure. These issues of definitions and methods are addressed in a companion report Understanding the Value of Transport Infrastructure – Guidelines for macro-level measurement of spending and assets (ITF/OECD2013) that aims to improve the international collection of related statistics.
      • Июнь 2016
        Источник: Pew Research Center
        Загружен: Knoema
        Дата обращения к источнику: 29 июня, 2016
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        Levels of restrictions on religionGovernment Restrictions IndexVery high- 6.6 to 10.0High- 4.5 to 6.5Moderate - 2.4 to 4.4Low- 0.0 to 2.3Social Hostilities IndexVery high- 7.2 to 10.0High- 3.6 to 7.1Moderate- 1.5 to 3.5Low- 0.0 to 1.4
      • Декабрь 2015
        Источник: International Transport Forum
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        This data set is a combination of three tables, 1. Good Transport- Inland freight 2. Passenger transport 3. Transport Safety- Road injury accidents- Road CausalitiesThe geographical area covered is the ITF member countries.The International Transport Forum collects data on transport statistics on annual basis from all its Member countries. Data are collected from Transport Ministries, statistical offices and other institution designated as official data source.TEU (Twenty-foot Equivalent Unit): a statistical unit based on an ISO container of 20 foot length (6.10 m) to provide a standardised measure of containers of various capacities and for describing the capacity of container ships or terminals. one 20 Foot ISO container equals 1 TEU.  
      • Январь 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 16 января, 2017
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        Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
      • Август 2016
        Источник: Bank for International Settlements
        Загружен: Knoema
        Дата обращения к источнику: 21 сентября, 2016
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        Triennial Central Bank Survey of foreign exchange and OTC derivatives markets in 2016 The Triennial Central Bank Survey enhances the semiannual survey by collecting data from a much broader sample of derivatives dealers - as many as 53 jurisdictions participate in the survey. Like the semiannual survey, the Triennial Survey captures notional amounts outstanding and gross market values. In addition, it captures turnover in OTC interest rate and foreign exchange derivatives markets. Derivatives measure : Turnover - notional amounts (daily average)Derivatives underlying risk sector : Total (all sectors)Derivatives currency denomination leg 2 : Total (all currencies)Derivatives maturity : Total (all maturities)Derivatives rating : Total (all ratings)Derivatives execution method : Total (all methods)
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 января, 2017
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        This dataset is used to report the tying status of bilateral ODA commitments. Members have agreed that administrative costs and technical co-operation expenditure should be disregarded in assessing the percentages of tied, partially untied and untied aid. These items have not been included in the data reported in this data set.
    • U
      • Январь 2016
        Источник: National Science Foundation
        Загружен: Knoema
        Дата обращения к источнику: 31 марта, 2016
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        Data collected from table 5-25 to 5-54, 5-58
      • Апрель 2017
        Источник: Office for National Statistics, United Kingdom
        Загружен: Knoema
        Дата обращения к источнику: 15 апреля, 2017
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        The mid-year estimates refer to the population on 30 June of the reference year and are produced in line with the standard UN definition for population estimates. They are the official set of population estimates for the UK and its constituent countries, the regions and counties of England, and local authorities and their equivalents. They are used by central and local government and the health sector, for planning and monitoring service delivery, resource allocation and managing the economy. They are used directly as a base for other secondary population statistics, such as population projections and weighting survey estimates such as the Labor Force Survey.
      • Декабрь 2016
        Источник: International Trade Administration, U.S. Department of Commerce
        Загружен: Knoema
        Дата обращения к источнику: 21 февраля, 2017
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        Note: Value of 2016 is Total of 2016 January to December.
      • Ноябрь 2016
        Источник: U.S. Energy Information Administration
        Загружен: Knoema
        Дата обращения к источнику: 30 января, 2017
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      • Март 2017
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 07 апреля, 2017
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        Note: outflows "+", inflows "-"; data is not seasonally adjusted and without current-cost adjustment.
      • Октябрь 2016
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 18 ноября, 2016
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        U.S. Direct Investment Abroad: Country and Industry Detail for Selected Items, 2015
      • Июль 2016
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 10 августа, 2016
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        U.S. Direct Investment Abroad: Balance of Payments and Direct Investment Position Data
      • Август 2016
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 08 августа, 2016
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      • Март 2017
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 20 марта, 2017
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        U.S. Direct Investment Abroad: Income Without Current-Cost Adjustment, Quarterly Update (Q3)
      • Октябрь 2016
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 18 ноября, 2016
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        U.S. Direct Investment Position Abroad on a Historical-Cost Basis by Account for Selected Countries, 2015
      • Ноябрь 2015
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 17 декабря, 2015
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        U.S. Direct Investment Position Abroad on a Historical-Cost Basis, 2015
      • Апрель 2017
        Источник: U.S. Department of the Treasury
        Загружен: Knoema
        Дата обращения к источнику: 27 апреля, 2017
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      • Апрель 2017
        Источник: U.S. Department of the Treasury
        Загружен: Knoema
        Дата обращения к источнику: 03 апреля, 2017
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        U.S. Financial Firms Liabilities: Data by Type, Country and Region
      • Декабрь 2015
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 18 декабря, 2015
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      • Март 2017
        Источник: Federal Competitiveness and Statistics Authority, United Arab Emirates
        Загружен: Knoema
        Дата обращения к источнику: 30 марта, 2017
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      • Октябрь 2016
        Источник: Uganda Bureau of Statistics
        Загружен: Knoema
        Дата обращения к источнику: 20 января, 2017
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        This dataset covers basic indicators on Uganda tourism and monthly statistics on accommodation capacity & occupancy rate for the year span of.
      • Январь 2012
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 04 мая, 2015
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        Both ethanol and biodiesel are classified under the HS-6 digit categories that also contain other products. Biodiesel is an industrial product (as it is produced through a chemical process called transsesterification) and classified under HS code 382490 - products, preparations and residual products of the chemical or allied industries not elsewhere specified. Ethanol is classified as an agriculture product under HS code 2207, which covers un-denatured (HS 2207 10) and denatured alcohol (HS 2207 20).
      • Декабрь 2011
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 19 декабря, 2011
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        The global database for merchandise trade statistics: groups 01-24 (4 digit level of HS Classification)
      • Апрель 2017
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 26 апреля, 2017
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      • Октябрь 2016
        Источник: United Nations Public Administration Country Studies
        Загружен: Knoema
        Дата обращения к источнику: 17 октября, 2016
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        1. The EGDI is based on a comprehensive Survey of the online presence of all 193 United Nations Member States, which assesses national websites and how e-government policies and strategies are applied in general and in specific sectors for delivery of essential services. The assessment rates the e-government performance of countries relative to one another as opposed to being an absolute measurement. The results are tabulated and combined with a set of indicators embodying a country’s capacity to participate in the information society, without which e-government development efforts are of limited immediate use. Although the basic model has remained consistent, the precise meaning of these values varies from one edition of the Survey to the next as understanding of the potential of e-government changes and the underlying technology evolves. This is an important distinction because it also implies that it is a comparative framework that seeks to encompass various approaches that may evolve over time instead of advocating a linear path with an absolute goal. 2. E-Government Development Index-EGDI Very High-EGDI (Greater than 0.75)High-EGDI (Between 0.50 and 0.75)Middle-EGDI (Between 0.25 and 0.50)Low-EGDI (Less than 0.25)
      • Январь 2016
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 10 мая, 2016
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        The United Nations Industrial Commodity Statistics Database provides annual statistics on the production of major industrial commodities by country. Data are provided in terms of physical quantities as well as monetary value. The online database covers the years 1995 to 2013. Additional historical data is available on request, based on a different product list, for the years 1950-2003.
      • Июнь 2010
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
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        Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
      • Декабрь 2016
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 07 февраля, 2017
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        The Energy Statistics Database contains basic statistics for more than 215 countries/territories. Currently, the database provides time series for the period 1950-2009 and is updated annually during the period October-November.The Energy Statistics Database provides statistics on production, trade, transformation and consumption (end-use) for primary and secondary, conventional, non-conventional and new and renewable sources of energy, as well as population estimates to enable the calculation of per capita indicators. The database contains data in their original units (e.g. metric tonnes, GWh) and also calorific values to allow interfuel comparison in a common energy unit (terajoules). The main source of information for the Energy Statistics Database is the UNSD Annual Questionnaire on Energy Statistics. Additional sources of information for the database include national, regional and international statistical publications (including, but not limited to publications from: the International Energy Agency (OECD/IEA), the Statistical Office of the European Communities (Eurostat), the International Atomic Energy Agency (IAEA), the Organization of the Petroleum Exporting Countries (OPEC), the Organización Latinoamericana de Energía (OLADE), etc.). The Statistics Division prepares estimates where official data are incomplete or inconsistent.
      • Ноябрь 2014
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 13 ноября, 2014
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        World Health Statistics presents the most recent health statistics for WHO’s 193 Member States.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 ноября, 2016
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        This table contains data on the share of the five durations - less than 1 month, >1 month and < 3 months, >3 months and <6 months, >6 months and <1 year, 1 year and over - of unemployment among total unemployment by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total).
      • Май 2016
        Источник: United Nations Environment Programme
        Загружен: Knoema
        Дата обращения к источнику: 09 июня, 2016
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      • Июнь 2015
        Источник: United Nations Environment Programme
        Загружен: Knoema
        Дата обращения к источнику: 30 июня, 2016
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        The GEO Data Portal is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. The GEO Data Portal gives access to a broad socio-economic data sets from authoritative sources at global, regional, sub-regional and national levels. The contents of the Data Portal cover environmental themes such as climate, forests and freshwater and many others, as well as socioeconomic categories, including education, health, economy, population and environmental policies.
      • Июль 2016
        Источник: UNESCO Institute for Statistics
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2016
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        The UNESCO Institute for Statistics (UIS) is the statistical office of UNESCO and is the UN depository for global statistics in the fields of education, science and technology, culture and communication. The UIS was established in 1999. It was created to improve UNESCO’s statistical programme and to develop and deliver the timely, accurate and policy-relevant statistics needed in today’s increasingly complex and rapidly changing social, political and economic environments. The UIS is based in Montreal, Canada. The dataset contains over 1,000 types of indicators and raw data on education, literacy, science and technology, culture and communication. The UIS collects the data for more than 200 countries and territories from Member States and international organizations.
      • Апрель 2017
        Источник: UNESCO Institute for Statistics
        Загружен: Knoema
        Дата обращения к источнику: 07 апреля, 2017
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      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 июля, 2016
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        This table contains the number of active trade union members and the number of wage and salary earners. Data on union membership are broken down by source of data (administrative or survey data).Membership corresponds to the number of wage and salary earners that are members of a trade union. Total number of wage and salary earners are taken from OECD Labour Force Statistics.Data are expressed in thousands.
      • Март 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 марта, 2017
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        Early Estimates of Quarterly Unit Labour Cost (ULC) indicators for the total economy provide current edge data on ULCs and their components labour productivity and labour compensation per employed person. Unit labour costs (ULCs) measure the average cost of labour per unit of output. They are calculated as the ratio of total labour costs to real output. Different from the estimates of annual ULC above, the Early Estimates of Quarterly ULC use employment and not hours worked as measure of labour input. Quarterly ULCs can be decomposed into the components labour compensation per employee and output per person employed (employment-based labour productivity).The OECD estimates of total labour costs adjust for labour compensation of self-employed personsEvery effort has been made to ensure that data are comparable across countries. The adjustment for the self-employed assumes that labour compensation per person is equivalent for the self-employed and employees.This assumption may be more or less valid across different countries and economic activities. EEQ ULCs are also fully compatible with the ULC series published by the ECB which provides ULC series for 21 EU OECD member countries and Euro area. Those for nine Non-EU member OECD countries are compiled by the OECD following a methodology that is fully consistent with that used by the ECB. It is widely recognised that hours worked are the appropriate measure of labour input for productivity analysis. For reasons of data availability, however, quarterly estimates of ULC and labour productivity are based on employed persons and not hours worked. The estimates are hence not strictly comparable to annual productivity and ULC estimates published in the OECD Productivity database.
      • Октябрь 2015
        Источник: Joint United Nations Programme on HIV/AIDS
        Загружен: Knoema
        Дата обращения к источнику: 26 февраля, 2016
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        UNAIDS was mandated by the UN General Assembly to monitor progress on global AIDS response in the 2001 General Assembly Special Session on HIV and AIDS, and reaffirmed in the 2011 High Level Meeting. The Global AIDS Response Progress Reporting data consists of 30 indicators, divided by 10 global targets, which are reported by participating countries on their national response to HIV/AIDS. Data used to be reported every second year from 2004 until 2012, However, starting 2013, data are collected every year to enable effective monitoring towards Millennium Development Goals of 2015. Collected data are published as part of the Global Report on AIDS. In 2014, 180 out of 193 UN member states (171 in 2013) submitted their reports.
      • Ноябрь 2016
        Источник: DevInfo
        Загружен: Knoema
        Дата обращения к источнику: 15 декабря, 2016
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        This database contains country-reported GARPR data and Spectrum estimates (unrounded version for graphing purposes)
      • Ноябрь 2016
        Источник: Joint United Nations Programme on HIV/AIDS
        Загружен: Knoema
        Дата обращения к источнику: 16 декабря, 2016
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      • Октябрь 2016
        Источник: United Nations Department of Economic and Social Affairs
        Загружен: Knoema
        Дата обращения к источнику: 17 февраля, 2017
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        This dataset contains short-term prospects for the global economy in 2017-2018   Project LINK is an international collaborative research group for econometric modelling, coordinated jointly by the Development Policy and Analysis Division of UN/DESA and the University of Toronto. Each year, a UN/DESA Expert Group Meeting on the World Economy, also known as the Project LINK Meeting, is held in October to discuss the world economic outlook. The meeting is participated in by a wide range of experts from academia, economic research institutions and international economic organizations as well as United Nations colleagues from the regional commissions of ECA, ECE, ECLAC, ESCAP and ESCWA. Global Economic Outlook presents the short-term prospects for the global economy in 2016 and 2017, including major risks and policy challenges. The report draws on inputs from the experts of Project LINK, as well as analysis of staff in the Global Economic Monitoring Unit of the Development Policy and Analysis Division (DPAD) of UN/DESA.
      • Март 2017
        Источник: International Trade Administration, U.S. Department of Commerce
        Загружен: Knoema
        Дата обращения к источнику: 17 апреля, 2017
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        United States : Used Passenger Vehicle Exports and Imports Data
      • Июнь 2010
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
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        Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
      • Апрель 2015
        Источник: United Nations Office on Drugs and Crime
        Загружен: Kirill Kosenkov
        Дата обращения к источнику: 12 декабря, 2015
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        United Nations Office on Drugs and Crime (UNODC) collects data on crime and the operation of criminal justice systems in order to make policy-relevant information and analysis available in a timely manner to the international community, conducting Surveys of Crime Trends and the Operations of Criminal Justice Systems (UN-CTS). The major goal of the United Nations Surveys on Crime Trends and the Operations of Criminal Justice Systems is to collect data on the incidence of reported crime and the operations of criminal justice systems with a view to improving the analysis and dissemination of that information globally. The survey results provide an overview of trends and interrelationships between various parts of the criminal justice system to promote informed decision-making in administration, nationally and internationally.
      • Май 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 29 июня, 2016
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        Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
      • Май 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 29 июня, 2016
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        Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
      • Май 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 29 июня, 2016
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        Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
      • Январь 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2016
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        The latest information on drug production and prices from United Nations Office on Drugs & Crime (UNODC)
      • Январь 2017
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 21 февраля, 2017
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        UNSD Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Indicator tables, charts and maps with relatively good quality and coverage across countries, as well as links to other international sources, are provided under each theme. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aqua stat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.
      • Октябрь 2016
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 15 марта, 2017
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        Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology whereas series number with four digits (1000, 1100) refer to data compiled using the SNA 2008 national accounts methodology. In addition to different methodologies, different series numbers are used when data are reported in different currencies, fiscal years, or by different sources. Furthermore, data are stored under a new series number whenever there are significant changes in compilation practices which make the time series no longer comparable.
      • Март 2017
        Источник: International Trade Administration, U.S. Department of Commerce
        Загружен: Knoema
        Дата обращения к источнику: 31 марта, 2017
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        Source: United States Department of Commerce, Bureau of the Census, Foreign Trade Division TPIS Database: USHS EXPORTS, Revised Statistics for 1989-2013 Note: Values for 2015 Q1 and 2016 Q2 have been taken for the period 2015, Jan to April and 2016, Jan to April respectively.Similarly for Q2 values have been taken for the period, Jan to Sep. 2015 Q1-2015_JAN-APR 2015 Q2-2015_JAN_SEP 2016 Q1-2016_JAN-APR 2016 Q2-2016_JAN_SEP   Source Links: http://www.trade.gov/td/otm/assets/auto/AP_Trade.pdf http://www.trade.gov/td/otm/assets/auto/New_Passenger_Exports.pdf http://www.trade.gov/td/otm/assets/auto/New_Passenger_Imports.pdf
      • Декабрь 2010
        Источник: U.S. Census Bureau
        Загружен: Knoema
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        As a United Nations agency, the ITU has an obligation to identify, define, and produce statistics covering its sector - the telecommunication/ICT sector. This is in line with other specialized agencies that publish statistics covering their respective field of operations and forms part of the global statistical system of the UN. The collection of over 100 telecommunication/ICT indicators is one of the main activities of the unit. The ITU's Market Information and Statistics (STAT) Division collects its Telecommunication/ICT data directly form governments by means of an annual questionnaire that is sent to the government agency in charge of telecommunications/ICT. This is usually the Ministry or the regulatory agency. The STAT Division verifies and harmonizes data, carries out research, and collects missing values from government web sites and operators' annual reports, particularly for countries that do not reply to the questionnaire. Market research data are also used to cross-check and complement missing values.
      • Сентябрь 2011
        Источник: U.S. Census Bureau
        Загружен: Knoema
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        As a United Nations agency, the ITU has an obligation to identify, define, and produce statistics covering its sector -the telecommunication/ICT sector. This is in line with other specialized agencies that publish statistics covering their respective field of operations and forms part of the global statistical system of the UN. The collection of over 100 telecommunication/ICT indicators is one of the main activities of the unit. The ITU's Market Information and Statistics (STAT) Division collects its Telecommunication/ICT data directly form governments by means of an annual questionnaire that is sent to the government agency in charge of telecommunications/ICT. This is usually the Ministry or the regulatory agency. The STAT Division verifies and harmonizes data, carries out research, and collects missing values from government web sites and operators' annual reports, particularly for countries that do not reply to the questionnaire. Market research data are also used to cross-check and complement missing values.
      • Март 2016
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 04 октября, 2016
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        International baseline projections indicate supply, demand, and trade for major agricultural commodities for selected countries. These projections provide foreign country detail supporting the annual USDA agricultural baseline, which are longrun, 10-year projections.
      • Январь 2017
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 14 марта, 2017
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        Improving agricultural productivity has been the world's primary means of assuring that the needs of a growing population don't outstrip the ability of humanity to supply food. Over the past 50 years, productivity growth in agriculture has allowed food to become more abundant and cheaper (see Growth in Global Agricultural Productivity: An Update, Amber Waves, November 2013, and New Evidence Points to Robust But Uneven Productivity Growth in Global Agriculture, Amber Waves, September 2012). A broad concept of agricultural productivity is total factor productivity (TFP). TFP takes into account all of the land, labor, capital, and material resources employed in farm production and compares them with the total amount of crop and livestock output. If total output is growing faster than total inputs, we call this an improvement in total factor productivity ("factor" = input). TFP differs from measures like crop yield per acre or agricultural value-added per worker because it takes into account a broader set of inputs used in production. TFP encompasses the average productivity of all of these inputs employed in the production of all crop and livestock commodities. "Growth accounting" provides a practicable way of measuring changes in agricultural TFP across a broad set of countries and regions, and for the world as a whole, given limited international data on production outputs, inputs, and their economic values. The approach (described in detail in Documentation and Methods) gives agricultural TFP growth rates, but not TFP levels, across the countries and regions of the world in a consistent, comparable way. Most of the data for the analysis comes from FAOSTAT. In some cases Food and Agriculture Organization (FAO) input and output data are supplemented with data from national statistical sources. Note: To facilitate international comparisons, certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the U.S. data product.
      • Апрель 2017
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        USDA Production, Supply and Distribution dataset contains current and historical official USDA data on production, supply and distribution of agricultural commodities for the United States and key producing and consuming countries.
      • Январь 2016
        Источник: National Science Foundation
        Загружен: Knoema
        Дата обращения к источнику: 31 марта, 2016
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        1. USPTO:- U.S. Patent and Trademark Office 2. IPC:- International Patent Classification 3. Patents are fractionally allocated among regions/countries/economies based on the proportion of residences of all named inventors 4. The EU includes 28 member countries and China includes Hong Kong. 5. Patents are classified under the World Intellectual Property Organization (WIPO) classification of patents 6.Data collected from table 6-36 to 6-50, 6-65 to 6-79
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 ноября, 2016
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        This table contains data on employment by hour bands for usual weekly hours worked in the main job. Standard hour bands are reported for most countries. Actual hours of work instead of usual hours of work are only available in some countries (Japan and Korea). Data are broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55+, total). Unit of measure used - Data are expressed in thousands of persons.
    • V
      • Февраль 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 15 февраля, 2017
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        Statistical population: Its presents output, intermediate consumption and the gross value added and its components, in particular compensation of employees and gross operating surplus and mixed income, broken down by detailed industries. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. Data presented in this table will not be updated after summer 2010. Data reported to the OECD by countries in their answers to the annual national accounts questionnaire are now available on theme Industry and Services, Structural Analysis (STAN) Databases. Unit of measure used: In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
      • Январь 2015
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 февраля, 2015
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        The table presents the latest quarterly statistics for total services exports and imports, in millions of dollars, for individual countries, for which the data are available. Quarterly figures for commercial services, which exclude government services, are included as a memo item. Also shown are the year-on-year percentage changes. The data presented are the result of the common work of World Trade Organization (WTO) and UNCTAD, and are published simultaneously by both organizations. (WTO statistics database)
      • Август 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 августа, 2014
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        This table presents total trade in services by individual country, geographical region and economic grouping, expressed in millions of dollars, as percentages of the world total and as percentages of a country's or a group's total trade in both merchandise and services.
      • Май 2016
        Источник: International Organization of Motor Vehicle Manufacturers
        Загружен: Knoema
        Дата обращения к источнику: 02 мая, 2016
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      • Декабрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        Volume growth rates of merchandise exports and imports
    • W
      • Май 2012
        Источник: International Labour Organization
        Загружен: Knoema
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        Wages and Employment
      • Март 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 ноября, 2016
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        This dataset provides information on the level of public equipment installed by countries to managed and abate water pollution. It shows the percentage of national population connected to "public" sewerage networks and related treatment facilities, and the percentage of national population connected to "public" wastewater treatment plants, and the degree of treatment. Connected here means actually connected to a wastewater plants through a public sewage network. Individual private treatment facilities such as septic tanks are not covered here. When analysing these data, it should be kept in mind that the optimal connection rate is not necessarily 100 per cent; it may vary among countries and depends on geographical features and on the spatial distribution of habitats. The interpretation of those data should take into account some variations in countries' definitions, as reflected in metadata.
      • Сентябрь 2015
        Источник: Water FootPrint Network
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2015
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      • Сентябрь 2015
        Источник: Water FootPrint Network
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2015
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        Water footprints of crops and derived crop products, 2005
      • Сентябрь 2015
        Источник: Water FootPrint Network
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2015
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      • Сентябрь 2015
        Источник: Water FootPrint Network
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2015
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      • Июнь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 03 августа, 2016
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        Wealth Accounting supplements macroeconomic indicators, such as Gross Domestic Product (GDP), by measuring the comprehensive wealth of a country. While changes in GDP tell us if growth is occurring, changes in wealth (i.e., saving rate) tell us if growth is sustainable-that is, whether it is long-term. So, just as private companies are assessed by looking at both income and balance sheets, countries need to start accounting for wealth and not just income. For the past 15 years, the World Bank’s Environment and Natural Resources Global Practice has implemented a program to systematically measure comprehensive wealth, to include natural resources, human, and social capital, along with physical capital. This work program provides indicators that measure the sustainability of a country’s growth path: some indicators are published annually, such as Adjusted Net Saving (ANS) and adjusted Net National Income (aNNI), while the comprehensive wealth accounts were published in 2011. Related annual indicators also include natural resource rents, which underlie the wealth accounting data.
      • Апрель 2017
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 21 апреля, 2017
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        The rise of travel and tourism has shown significant resilience globally. Despite slow economic growth in advanced economies and geopolitical tensions in some regions, the T&T sector still accounts for a large part of the global economy (estimated to be approximately 9% of global GDP or US$ 7 trillion) and employment,while the number of international travellers continues to increase. According to the World Travel & Tourism Council (WTTC), the T&T sector is forecast to continue growing at 4% annually—faster than financial services,transport and manufacturing
      • Май 2012
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 июня, 2012
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        Body mass index (BMI) is a simple index of weight-for-height that is commonly used to classify overweight and obesity in adults. It is defined as a person's weight in kilograms divided by the square of his height in meters (kg/m2). The WHO definition is: a BMI greater than or equal to 25 is overweight a BMI greater than or equal to 30 is obesity. BMI provides the most useful population-level measure of overweight and obesity as it is the same for both sexes and for all ages of adults. However, it should be considered a rough guide because it may not correspond to the same degree of fatness in different individuals.
      • Октябрь 2015
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 08 декабря, 2015
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      • Март 2012
        Источник: World Health Organization
        Загружен: Knoema
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        The WHO Statistical Information System is the guide to health and health-related epidemiological and statistical information available from the World Health Organization.
      • Июль 2015
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 июля, 2015
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        The WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation is the official United Nations mechanism tasked with monitoring progress towards the Millennium Development Goal (MDG) relating to drinking-water and sanitation (MDG 7, Target 7c), which is to: "Halve, by 2015, the proportion of people without sustainable access to safe drinking-water and basic sanitation".
      • Август 2016
        Источник: Scimago Lab
        Загружен: Knoema
        Дата обращения к источнику: 22 августа, 2016
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      • Ноябрь 2011
        Источник: World Bank
        Загружен: Knoema
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        Data from World Development Indicators and Climate Change Knowledge Portal on climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use.
      • Декабрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 11 января, 2017
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        Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 26 октября, 2016
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        Doing Business 2017: Equal Opportunity for All, a World Bank Group flagship publication, is the 14th in a series of annual reports measuring the regulations that enhance business activity and those that constrain it. Doing Business presents quantitative indicators on business regulations and the protection of property rights that can be compared across 190 economies—from Afghanistan to Zimbabwe—and over time. Doing Business measures regulations affecting 11 areas of the life of a business. Ten of these areas are included in this year’s ranking on the ease of doing business: starting a business, dealing with construction permits, getting electricity, registering property, getting credit, protecting minority investors, paying taxes, trading across borders, enforcing contracts and resolving insolvency. Doing Business also measures labor market regulation, which is not included in this year’s ranking. Data in Doing Business 2017 are current as of June 1, 2016. The indicators are used to analyze economic outcomes and identify what reforms of business regulation have worked, where and why.
      • Апрель 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 12 апреля, 2017
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        The dataset Provides daily updates of global economic developments, with coverage of high income- as well as developing countries. Average period data updates are provided for exchange rates, equity markets, interest rates, stripped bond spreads, and emerging market bond indices. Monthly data coverage (updated daily and populated upon availability) is provided for consumer prices, high-tech market indicators, industrial production and merchandise trade.
      • Январь 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 19 января, 2017
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      • Февраль 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 05 ноября, 2015
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        The Trade in Services Database provides information on annual bilateral services trade flows in Mode 1 (cross-border trade) and Mode 2 (consumption abroad) for 199 countries across a multitude of sectors and years spanning 1985 and 2011. The collection of data on cross-border trade in services is notoriously difficult, in large part due to the intangible nature of services but also the high capacity needed to record such data. This is particularly true for developing countries. This database tries to fill this gap by consolidating multiple sources of bilateral trade data in services using mirror techniques, including the OECD, Eurostat, UN and IMF, as to provide a broader coverage of developed and developing countries over time. Mirror-technique is a method to retrieve export trade flows of a reporter by using information on imports of the partner country.
      • Февраль 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 14 марта, 2017
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        Education Statistics provides data on over 1,000 internationally comparable indicators for access, progression, completion, learning outcomes, literacy, teachers, expenditure, and background indicators. The indicators cover the educational cycle from pre-primary to tertiary education.
      • Октябрь 2013
        Источник: World Chess Federation
        Загружен: Knoema
        Дата обращения к источнику: 07 октября, 2013
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        Country rank by average rating of top 10 players
      • Август 2012
        Источник: Multiple Sources
        Загружен: Carpe Facto
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        Coffee consumption by country.
      • Май 2016
        Источник: IMD World Competitiveness Center
        Загружен: Knoema
        Дата обращения к источнику: 15 июня, 2016
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        The IMD World Competitiveness Yearbook analyzes and ranks the ability of a country to facilitate an environment in which enterprises can generate sustainable value.
      • Январь 2016
        Источник: China Association of Automobile Manufacturers
        Загружен: Knoema
        Дата обращения к источнику: 19 мая, 2016
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        Car Sales by Country 2014
      • Март 2017
        Источник: World Steel Association
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2017
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        The World Steel Association (worldsteel) collects crude steel production data from 66 countries. These 66 countries accounted for approximately 99% of total world crude steel production in 2015. 
      • Март 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 11 апреля, 2017
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        The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
      • Октябрь 2016
        Источник: International Federation of Red Cross and Red Crescent Societies
        Загружен: Knoema
        Дата обращения к источнику: 22 ноября, 2016
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      • Декабрь 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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      • Декабрь 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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      • Январь 2017
        Источник: United Nations Department of Economic and Social Affairs
        Загружен: Knoema
        Дата обращения к источнику: 23 февраля, 2017
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        The report is a joint product of the United Nations Department of Economic and Social Affairs (UN/DESA), the United Nations Conference on Trade and Development (UNCTAD) and the five United Nations regional commissions (Economic Commission for Africa (ECA), Economic Commission for Europe (ECE), Economic Commission for Latin America and the Caribbean (ECLAC), Economic and Social Commission for Asia and the Pacific (ESCAP) and Economic and Social Commission for Western Asia (ESCWA)). For further information, see http://www.un.org/en/development/desa/policy/wesp/index.shtml
      • Февраль 2017
        Источник: World Energy Council
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        The World Energy Council’s Energy Trilemma Index tool, produced in partnership with Oliver Wyman, ranks countries on their ability to provide sustainable energy through 3 dimensions: Energy security, Energy equity (accessibility and affordability), Environmental sustainability. The ranking measures overall performance in achieving a sustainable mix of policies and the balance score highlights how well a country manages the trade-offs of the Trilemma with "A" being the best.
      • Май 2016
        Источник: Charities Aid Foundation
        Загружен: Knoema
        Дата обращения к источнику: 26 мая, 2016
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      • Апрель 2014
        Источник: The Earth Institute, Columbia University
        Загружен: Knoema
        Дата обращения к источнику: 03 апреля, 2014
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        The World Happiness Report 2013 is a study conducted by Columbia University's Earth Institute and published in September 2013 by the Sustainable Development Solutions Network (SDSN). It reveals trends in the data judging just how happy countries really are on a scale running from 0 to 10. The report uses data from people in over 150 countries, surveyed by Gallup over the period 2010-12. Six key variables explain three-quarters of the variation in annual national average scores over time and among countries. These six factors include: real GDP per capita, healthy life expectancy, having someone to count on, perceived freedom to make life choices, freedom from corruption, and generosity. Note: datapoints for 2012 and 2007 refer to national averages in 2010-12 and 2005-07 correspondingly; changes from 2005-07 to 2010-12 are presented for the 130 countries with data in both periods; positive affect in 2005-07 does not include happiness (yesterday) since happiness data were not collected in the period. Reference: World Happiness Report 2013, Appendix material for Chapter 2 "World Happiness:  Trends, Explanations and Distribution", John F. Helliwell & Shun Wang.
      • Май 2014
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 18 июня, 2014
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        Includes datasets on communicable diseases, human resources for health, noncommunicable diseases and world health statictics.
      • Июнь 2016
        Источник: Swiss Re
        Загружен: Knoema
        Дата обращения к источнику: 24 октября, 2016
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      • Июнь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 октября, 2016
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        The World Investment Report focuses on trends in foreign direct investment (FDI) worldwide, at the regional and country levels and emerging measures to improve its contribution to development. Click on the "Reports" tab below to download a free copy of this report. Overviews of the report are also available in all official UN languages. Every issue of the Report has: Analysis of the trends in FDI during the previous year, with especial emphasis on the development implications. Ranking of the largest transnational corporations in the world. In-depth analysis of a selected topic related to FDI. Policy analysis and recommendations. Statistical annex with data on FDI flows and stocks for 196 economies.
      • Март 2017
        Источник: World Steel Association
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2017
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        1) This dataset contains monthly blast furnace iron (BFI) and direct reduced iron (DRI) production data. The total for the year is not the sum of the 12 calendar months. This is because annual production is reported separately. Regional and grand totals refer to the countries listed only. Other countries report only annual - and not monthly - data.2) World Steel Association collects Blast Furnace Iron production (BFI) from 39 countries and Direct Reduced Iron production (DRI) production from 14 countries . The 39 countries accounted for approximately 99% of total world BFI production and 14 countries accounted for 85% of total world DRI in 2015.
      • Декабрь 2015
        Источник: Ethnologue: Languages of the World
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        The World Languages section of this site provides country summaries and language-by-language information. This section steps above that detail to offer a summary view of the world language situation. Specifically, it offers numerical tabulations of languages and number of speakers by world area, by language size, by language status, by language family, and by country.
      • Февраль 2016
        Источник: British Geological Survey
        Загружен: Knoema
        Дата обращения к источнику: 11 июля, 2016
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        World Mineral Production covers the majority of economically important mineral commodities. For each commodity constant efforts are made to ensure that as many producing countries as possible are reported. For some commodities, where statistics on production are not publicly available, estimates are made.
      • Октябрь 2016
        Источник: International Organization of Motor Vehicle Manufacturers
        Загружен: Knoema
        Дата обращения к источнику: 18 ноября, 2016
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        World Motor Vehicle Sales by Country and Type, 2005-2015
      • Июнь 2016
        Источник: Global Energy Observatory
        Загружен: Knoema
        Дата обращения к источнику: 19 июля, 2016
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      • Апрель 2016
        Источник: Reporters Without Borders
        Загружен: Knoema
        Дата обращения к источнику: 06 мая, 2016
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        The press freedom index that Reporters Without Borders publishes every year measures the level of freedom of information in nearly 180 countries. It reflects the degree of freedom that journalists, news organizations and netizens enjoy in each country, and the efforts made by the authorities to respect and ensure respect for this freedom. It is based partly on a questionnaire that is sent to our partner organizations (18 freedom of expression NGOs located in all five continents), to our network of 150 correspondents, and to journalists, researchers, jurists and human rights activists. The 179 countries ranked in this year’s index are those for which Reporters Without Borders received completed questionnaires from various sources. Some countries were not included because of a lack of reliable, confirmed data. A score and a position are assigned to each country in the final ranking. They are complementary indicators that together assess the state of press freedom. In order to make the index more informative and make it easier to compare different years, scores will henceforth range from 0 to 100, with 0 being the best possible score and 100 the worst. The index reflects the situation during a specific period. This year’s index is based solely on events between the start of December 2012 and the end of November 2013. It does not look at human rights violations in general, just violations of freedom of information. The index should in no way be taken as an indication of the quality of the media in the countries concerned.
      • Октябрь 2013
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 24 ноября, 2014
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        This dataset provides the World report on disability, Technical appendix A: Estimates of disability prevalence (%) and of years of health lost due to disability (YLD), by country
      • Декабрь 2011
        Источник: World Resources Institute
        Загружен: Knoema
        Дата обращения к источнику: 15 декабря, 2011
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        Water Resources and Freshwater Ecosystems
      • Июль 2015
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2016
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        The IMF’s World Revenue Longitudinal Data set (WoRLD) is a compilation of government tax and non-tax revenues from the IMF’s Government Finance Statistics and World Economic Outlook, and drawing on the OECD Revenue Statistics and Revenue Statistics in Latin American and the Caribbean.
      • Январь 2017
        Источник: Newzoo
        Загружен: Knoema
        Дата обращения к источнику: 17 февраля, 2017
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        This table features the top 100 countries ranked on global game revenue estimates for 2016. These estimates are based on a combination of primary consumer research, transactional data, quarterly company reports and census data. The revenues are based on consumer revenues generated by companies in the global games industry and excludes hardware sales, tax, business-to-business services and online gambling and betting revenues.
      • Январь 2016
        Источник: World Tourism Organization
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2016
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        The World Tourism Organization's Compendium of Tourism Statistics and Yearbook of Tourism Statistics provide comprehensive information on international tourism worldwide and offer a selection of the latest available statistics on "arrivals of non-resident tourists/visitors" and "tourism expenditure".
      • Март 2017
        Источник: World Travel and Tourism Council
        Загружен: Knoema
        Дата обращения к источнику: 23 марта, 2017
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        Travel & Tourism is a truly global economic activity – one which takes place in destinations across the world, from leading capital cities and smaller towns and villages in rural and coastal areas, to some of the remotest points on the planet. It is one of the world’s largest industries, or economic sectors, contributing trillions of dollars annually to the global economy, creating jobs and wealth, generating exports, boosting taxes and stimulating capital investment
      • Июнь 2015
        Источник: United Nations Department of Economic and Social Affairs
        Загружен: Knoema
        Дата обращения к источнику: 01 августа, 2015
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        The Population Division of the Department of Economic and Social Affairs of the United Nations has been issuing, since 1988, every two years revised estimates and projections of the urban and rural populations of all countries in the world and of their major urban agglomerations. This web site presents the main findings of the 2014 Revision of World Urbanization Prospects which are consistent with the size of the total population of each country as estimated or projected in the 2012 Revision of World Population Prospects(United Nations, 2013). The World Urbanization Prospects are used widely throughout the United Nations and by many international organizations, research centers, academic researchers and the media.
      • Май 2016
        Источник: International Organization of Motor Vehicle Manufacturers
        Загружен: Knoema
        Дата обращения к источнику: 02 мая, 2016
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      • Ноябрь 2016
        Источник: World Wind Energy Association
        Загружен: Knoema
        Дата обращения к источнику: 09 ноября, 2016
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      • Ноябрь 2016
        Источник: Wikipedia
        Загружен: Knoema
        Дата обращения к источнику: 15 декабря, 2016
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      • Январь 2017
        Источник: End Coal
        Загружен: Knoema
        Дата обращения к источнику: 07 апреля, 2017
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      • Сентябрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 06 октября, 2016
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        Worldwide Governance indicators reports aggregate and individual governance indicators for 215 economies over the period 1996–2015. The governance indicators presented here reflect the statistical compilation of responses on the quality of governance given by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries, as reported by a number of survey institutes, think tanks, non-governmental organizations, and international organizations. The aggregate indicators do not reflect the official views of the World Bank, its Executive Directors, or the countries they represent. Measure description:Estimate:-Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance)*Standard error (StdErr):-*Standard error reflects variability around the point estimate of governance.Number of sources (NumSrc):-Number of data sources on which estimate is based*Rank:- *Percentile rank among all countries (ranges from 0 (lowest) to 100 (highest) rank)Lower:- Lower bound of 90% confidence interval for governance, in percentile rank terms*Upper:- *Upper bound of 90% confidence interval for governance, in percentile rank terms
      • Ноябрь 2015
        Источник: Wine Institute
        Загружен: Knoema
        Дата обращения к источнику: 15 сентября, 2016
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        Vineyard acreage is based on United Nations Food & Agriculture Organization (FAO) data, Eurostat data and estimates and reports from individual countries. It includes vineyards used for the production of wine variety grapes, raisin variety grapes, table grapes (for the fresh market) and juice grapes (for the production of grape juice and grape juice concentrate). Wine consumption includes data for 225 countries during the period. Consumption has been estimated by TDA by aggregating the exports of the major wine producing countries to each individual country. The aggregation includes 41 countries including the EU 28, Argentina, Australia, Canada, China, Chile, Hong Kong, New Zealand, Singapore, South Africa, South Korea, Ukraine, United States, and Uruguay. The November 2015 revision pertains to Sweden. Wine production quantity indicated for China does not include the production of Chinese yellow wine; quantity indicated for Japan does not include the production of Sake; quantity indicated for Korea does not include the production of fruit wine and rice wine.
      • Апрель 2017
        Источник: World Trade Organization
        Загружен: Knoema
        Дата обращения к источнику: 07 апреля, 2017
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        Note: Merchandise Exports data for Hong Kong, China covers re-exports only.
      • Июль 2016
        Источник: World Trade Organization
        Загружен: Knoema
        Дата обращения к источнику: 16 августа, 2016
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        WTO statistical data sets: Total merchandise trade, Merchandise trade by commodity, Network of world merchandise trade, Selected regional integration agreements, Trade in commercial services, Merchandise trade indices.