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Албания

  • Президент:Bujar Nishani
  • Премьер-министр:Edi Rama
  • Столица:Tirana (Tirane)
  • Языки:Albanian (official - derived from Tosk dialect), Greek, Vlach, Romani, Slavic dialects
  • Правительство:No data
  • Статистическое агентство
  • Население:2 894 475 (2014)
  • Площадь:27 400 (2014)
  • ВВП на душу населения:4 564 (2014)
  • ВВП, млрд. долл. США:13 (2014)
  • Индекс Джини:28,96 (2012)
  • Рейтинг Ease of Doing Business:97 (2015)
Все наборы данных:  1 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 Y Т
  • 1
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      This indicator gives the percentage of all 18-year-olds who are still in any kind of school (all ISCED levels). It gives an indication of the number of young people who have not abandoned their efforts to improve their skills through initial education and it includes both those who had a regular education career without any delays as well as those who are continuing even if they had to repeat some steps in the past.
  • 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.
  • 3
  • A
    • Май 2015
      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
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 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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    • 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 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).
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
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      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
      Выбрать
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
      Выбрать
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
      Выбрать
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards. SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat's website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N2701/98 and amended by Commission Regulation N1614/2002 and Commission Regulation N1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
      Выбрать
      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Декабрь 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2014
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      Eurostat Dataset Id:educ_bo_ou_attd 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. In the framework of the indicators for the monitoring of the social dimension and mobility of the Bologna Process, the EU-SILC (EU Statistics on Income and Living Conditions) data of interest cover individual's educational attainment, income and, from the intergenerational transmission of poverty ad hoc module, educational attainment of the parents. The following data-sets, having EU-SILC as source, on the Bologna Process are available: A. Widening access educ_bo_ac_sobs: Individuals having completed tertiary education (ISCED 5-6), according to the educational background of their parents, by sexeduc_bo_ac_soba: Individuals having completed tertiary education (ISCED 5-6), according to the educational background of their parents, by age D. Effective outcomes and employability educ_bo_ou_attd: Annual gross income of workers by educational attainment (2006)educ_bo_ou_terd: Annual gross income of workers with tertiary education (ISCED 5-6) , by sex (2006) The general aim of the EU-SILC domain is to provide comparable statistics and indicators on key aspects of the citizens' living conditions across Europe. This domain actually contains a range of social statistics and indicators relating to the risks of income poverty and social exclusion. There are both conceptual and methodological problems in defining and measuring income poverty and social exclusion. Since a 1984 decision of the European Council, the following are regarded as poor: "those persons, families and groups of persons whose resources (material, cultural and social) are so limited as to exclude them from the minimum acceptable way of life in the Member State to which they belong". On this basis, measures of poverty at EU level adopt an approach which is both multi-dimensional and relative. In June 2006, a new set of common indicators for the social protection and social inclusion process was adopted. (For more details and definitions of these indicators: Indicators 2006). To investigate particular areas of policy interest in more detail, target secondary areas, to be collected every four years or less frequently, are added to the cross-sectional component of EU-SILC. "The intergenerational transmission of poverty" was chosen as the area to be implemented for 2005. This specific module, collected in 2005, had as purpose to collect and compile relevant and robust information on background factors linked to adult social exclusion, minimising the burden of respondents to provide accurate detailed indicators sufficiently comparable across the EU capturing the effects of childhood experiences on poverty risk. More general information on EU-SILC is available on ilc_base.htm
    • Ноябрь 2015
      Источник: European Commission
      Загружен: Knoema
      Дата обращения к источнику: 27 января, 2016
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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.
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 10 января, 2016
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      Eurostat's database covers 1) Production and trade in roundwood and wood products, including primary and secondary products 2) Economic data on forestry and logging, including employment data 3) Sustainable forest management, comprising forest resources (assets) and environmental data. The main types of primary forest products included in (1) are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. Secondary products include further processed wood and paper products. These products are presented in greater detail; definitions are available. All of the data are compiled from the Joint Forest Sector Questionnaire (JFSQ), except for table (e), which is directly extracted from Eurostat's international trade database COMEXT (HS/CN Chapter 44). The tables in (1) cover details of the following topics: - Roundwood removals and production by type of wood and assortment (a) - Roundwood production by type of ownership (b) - Production and trade in roundwood, fuelwood and other basic products (c) - Trade in industrial roundwood by assortment and species (d) - Tropical wood imports to the EU from Chapter 44 of the Harmonised System (e) - Production and trade in sawnwood, panels and other primary products (f) - Sawnwood trade by species (g) - Production and trade in pulp and paper & paperboard (h) - Trade in secondary wood and paper products (i) Data in (2) include the output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging.  The data are in current basic prices and are compatible with National Accounts. They are collected as part of Intergrated environmental and economic accounting for forests (IEEAF), which also covers labour input in annual work units (AWU).  Under (2), two separate tables cover the number of employees of forestry and logging, the manufacture of wood and products of wood and cork, and the manufacture of paper and paper products, as estimated from the Labour Force Survey results. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. More detailed information on wood products and accounting, including definitions and questionnaires, can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.  Data in (3) are not collected by Eurostat, but by the FAO, UNECE, Forest Euope, the European Commission's departments for Environment and the Joint Research Centre. They include forest area, wood volume, defoliation on sample plots, fires and areas with protective functions.
    • Август 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2015
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      Aquaculture, also known as aquafarming, refers to the farming of aquatic (freshwater or saltwater) organisms, such as fish, molluscs, crustaceans and plants, for human use or consumption, under controlled conditions. Aquaculture implies some form of intervention in the natural rearing process to enhance production, including regular stocking, feeding and protection from predators. Farming also implies individual or corporate ownership of, or contractual rights to, the stock being cultivated. European data on the quantity of aquaculture production, in tonnes life weight (TLW), have been recorded since 1950 [fish_aq_q]. Since 1984, data on the total value of the production in Thousand Euro are also available [fish_aq_v]. With the entry into force of the new Regulation (EC) No 762/2008 on the submission of aquaculture statistics, since the reference year 2008 aquaculture production data are collected and disseminated annually in 5 tables: Production from aquaculture excluding hatcheries and nurseries [fish_aq2a] by species, by FAO major area, by production method, by aquatic environment in TLW (tonnes live weight) and in Euro.Production of fish eggs for human consumption from aquaculture [fish_aq2b] by species, by FAO major area, by aquatic environment in TLW, Euro and Euro/Tonne.Input to capture-based aquaculture [fish_aq3] by species in Number, TLW, Euro and Euro/Tonne.Production of hatcheries and nurseries at eggs stage in life cycle [fish_aq4a] by species and intended uses in Millions.Production of hatcheries and nurseries at juveniles stage in life cycle [fish_aq4b] by species and intended uses in Millions. Every three years, these data are complemented by Data on the structure of the aquaculture sector [fish_aq5] by species, by FAO major area, by production method, by aquatic environment in Meters, 1000 of M3 and Hectares. In addition, annual methodological reports of the national systems for aquaculture statistics [fish_aq6] are provided by the EEA Member States with details on the organisation of the national systems for aquacuture statistics and the respective methods of collecting, processing and compiling the aquaculture data as well as quality aspects in line with the 'Code of Practice for the European Statistical System'. According to the Regulation (EC) No 762/2008, aquaculture production means the output from aquaculture at first sale (including production from hatcheries and nurseries offered for sale). Non-commercial leisure aquaculture is thus not accounted for. Moreover, aquaculture production of aquarium and ornamental species is excluded. Data are submitted by all Member States of the European Economic Area by the 31st of December for the preceeding year (reporting year -1). They are compiled by the respective competent authorities of the Member States, usually either the National Statistical Institute or the Ministry of Agriculture.
    • Октябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2015
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      Aquaculture, also known as aquafarming, refers to the farming of aquatic (freshwater or saltwater) organisms, such as fish, molluscs, crustaceans and plants, for human use or consumption, under controlled conditions. Aquaculture implies some form of intervention in the natural rearing process to enhance production, including regular stocking, feeding and protection from predators. Farming also implies individual or corporate ownership of, or contractual rights to, the stock being cultivated. European data on the quantity of aquaculture production, in tonnes life weight (TLW), have been recorded since 1950 [fish_aq_q]. Since 1984, data on the total value of the production in Thousand Euro are also available [fish_aq_v]. With the entry into force of the new Regulation (EC) No 762/2008 on the submission of aquaculture statistics, since the reference year 2008 aquaculture production data are collected and disseminated annually in 5 tables: Production from aquaculture excluding hatcheries and nurseries [fish_aq2a] by species, by FAO major area, by production method, by aquatic environment in TLW (tonnes live weight) and in Euro.Production of fish eggs for human consumption from aquaculture [fish_aq2b] by species, by FAO major area, by aquatic environment in TLW, Euro and Euro/Tonne.Input to capture-based aquaculture [fish_aq3] by species in Number, TLW, Euro and Euro/Tonne.Production of hatcheries and nurseries at eggs stage in life cycle [fish_aq4a] by species and intended uses in Millions.Production of hatcheries and nurseries at juveniles stage in life cycle [fish_aq4b] by species and intended uses in Millions. Every three years, these data are complemented by Data on the structure of the aquaculture sector [fish_aq5] by species, by FAO major area, by production method, by aquatic environment in Meters, 1000 of M3 and Hectares. In addition, annual methodological reports of the national systems for aquaculture statistics [fish_aq6] are provided by the EEA Member States with details on the organisation of the national systems for aquacuture statistics and the respective methods of collecting, processing and compiling the aquaculture data as well as quality aspects in line with the 'Code of Practice for the European Statistical System'. According to the Regulation (EC) No 762/2008, aquaculture production means the output from aquaculture at first sale (including production from hatcheries and nurseries offered for sale). Non-commercial leisure aquaculture is thus not accounted for. Moreover, aquaculture production of aquarium and ornamental species is excluded. Data are submitted by all Member States of the European Economic Area by the 31st of December for the preceeding year (reporting year -1). They are compiled by the respective competent authorities of the Member States, usually either the National Statistical Institute or the Ministry of Agriculture.
    • Октябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2015
      Выбрать
      Aquaculture, also known as aquafarming, refers to the farming of aquatic (freshwater or saltwater) organisms, such as fish, molluscs, crustaceans and plants, for human use or consumption, under controlled conditions. Aquaculture implies some form of intervention in the natural rearing process to enhance production, including regular stocking, feeding and protection from predators. Farming also implies individual or corporate ownership of, or contractual rights to, the stock being cultivated. European data on the quantity of aquaculture production, in tonnes life weight (TLW), have been recorded since 1950 [fish_aq_q]. Since 1984, data on the total value of the production in Thousand Euro are also available [fish_aq_v]. With the entry into force of the new Regulation (EC) No 762/2008 on the submission of aquaculture statistics, since the reference year 2008 aquaculture production data are collected and disseminated annually in 5 tables: Production from aquaculture excluding hatcheries and nurseries [fish_aq2a] by species, by FAO major area, by production method, by aquatic environment in TLW (tonnes live weight) and in Euro.Production of fish eggs for human consumption from aquaculture [fish_aq2b] by species, by FAO major area, by aquatic environment in TLW, Euro and Euro/Tonne.Input to capture-based aquaculture [fish_aq3] by species in Number, TLW, Euro and Euro/Tonne.Production of hatcheries and nurseries at eggs stage in life cycle [fish_aq4a] by species and intended uses in Millions.Production of hatcheries and nurseries at juveniles stage in life cycle [fish_aq4b] by species and intended uses in Millions. Every three years, these data are complemented by Data on the structure of the aquaculture sector [fish_aq5] by species, by FAO major area, by production method, by aquatic environment in Meters, 1000 of M3 and Hectares. In addition, annual methodological reports of the national systems for aquaculture statistics [fish_aq6] are provided by the EEA Member States with details on the organisation of the national systems for aquacuture statistics and the respective methods of collecting, processing and compiling the aquaculture data as well as quality aspects in line with the 'Code of Practice for the European Statistical System'. According to the Regulation (EC) No 762/2008, aquaculture production means the output from aquaculture at first sale (including production from hatcheries and nurseries offered for sale). Non-commercial leisure aquaculture is thus not accounted for. Moreover, aquaculture production of aquarium and ornamental species is excluded. Data are submitted by all Member States of the European Economic Area by the 31st of December for the preceeding year (reporting year -1). They are compiled by the respective competent authorities of the Member States, usually either the National Statistical Institute or the Ministry of Agriculture.
    • 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: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 февраля, 2016
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  • B
    • Май 2016
      Источник: Baker Hughes
      Загружен: Knoema
      Дата обращения к источнику: 25 мая, 2016
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    • 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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    • Январь 2014
      Источник: Bertelsmann Stiftung
      Загружен: Knoema
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      The Bertelsmann Stiftung’s Transformation Index (BTI) analyzes and evaluates the quality of democracy, a market economy and political management in 128 developing and transition countries. It measures successes and setbacks on the path toward a democracy based on the rule of law and a market economy flanked by sociopolitical safeguards. Within this framework, the BTI publishes two rankings, the Status Index and the Management Index.
    • Декабрь 2014
      Источник: Federal Institute for Geosciences and Natural Resources
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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    • 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.
    • Апрель 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 10 мая, 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 2016
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 02 мая, 2016
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      Measure for all Combinations - Amounts Outstanding / Stocks
    • Январь 2016
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 02 мая, 2016
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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
    • Январь 2016
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 03 мая, 2016
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  • 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.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_agmain  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_ecnacoi  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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      Eurostat Dataset Id:cpc_ecbop  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_insbs  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_enclimwa  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_energy  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_ecexint  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_agfish  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_agfor  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_ecnagdp  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_ecgov  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_inisoc  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:cpc_etmain  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
      Выбрать
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
      Выбрать
      Eurostat Dataset Id:cpc_psilc  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
      Выбрать
      Eurostat Dataset Id:cpc_ecmain  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
      Выбрать
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
      Выбрать
      Eurostat Dataset Id:cpc_psdemo  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
      Выбрать
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
      Выбрать
      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
      Выбрать
      Eurostat Dataset Id:cpc_siecr  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
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      Eurostat Dataset Id:cpc_siemp  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
      Выбрать
      Eurostat Dataset Id:cpc_sienv  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
      Выбрать
      Eurostat Dataset Id:cpc_sigeb  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_siinr  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_sisoc  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_ettot  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:cpc_intour  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:cpc_etsitc  The focus of this domain is on the following country groups:Acceeding country: Croatia (HR)Candidate countries: the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)Potential candidate countries: Albania (AL), Bosnia and Herzegovina (BA), as well as Kosovo under UNSCR 1244/99 (XK)
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 02 декабря, 2015
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      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Январь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 января, 2016
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      Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings).
    • Ноябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
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      Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings).
    • Ноябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 02 декабря, 2015
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      Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings).
    • Декабрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 января, 2014
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      Eurostat Dataset Id:fish_ca_00 Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings). The concepts and definitions used in the compilation of catch statistics are those laid down by the Coordinating Working Party on Fishery Statistics (CWP), of which Eurostat is one of the member organizations. These concepts and definitions have been in force since the late 1950's and are applied uniformly worldwide by the CWP and by the national authorities reporting to its member organizations. Therefore, though the quality of the data varies from country to country (being in many cases a function of the general characteristics of the national fishing industry), there is a high degree of comparability between countries and over time.  Nominal catch  The data refer to the catch of freshwater, brackish water and marine species of fish, crustaceans, molluscs and other aquatic animals and plants, killed, caught, trapped or collected for all commercial, industrial, recreational and subsistence purposes. In view of the importance of recreational fishing regarding some stocks and for certain countries, as well as the difficulty of distinguishing between recreational and subsistence fishing, the data should include the catches from recreational fisheries as well. However, it is recognised that certain countries are unable to supply the data for recreational fisheries. The catches are expressed in the live weight equivalent of the landings. As such they exclude all quantities caught but not landed (for example: discarded fish, fish consumed on board). The unit used is generally the metric ton. Data for marine mammals (e.g. whales) and certain other animals (e.g. crocodiles) are expressed in the number caught. The nominal catch data are normally derived from the landed quantities of the fishery products. For this purpose, the landed weight is converted to the live weight equivalent (nominal catch) by the application of factors. Species: All species for which catches are reported to international organizations are included in the Eurostat's database. They are identified by the internationally assigned three letter identifier (e.g. COD = Atlantic cod, PLE = European plaice) according to the FAO ASFIS (Aquatic Sciences and Fishery Information System) list of Species for Fishery Statistics Purposes. Fishing areas/regions: The catches are sub-divided by the area in which they occur. The methodologies vary from country to country depending on the nature of their fishing industries. Basic documentation used in collecting the data from EU fisheries are fishing log-books, landings declarations and sales notes used in the management of catch quota and market management systems within the Common Fisheries Policy. The methodologies used by EEA member countries have been described in the Eurostat publication "Fisheries: The collection and compilation of fish catch and landing statistics in member countries of the European Economic Area". Those used by the New Member States are described in a working document "Fisheries: The collection and compilation of fishery statistics in European Union Candidate Countries"
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 09 апреля, 2016
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      Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
    • Январь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2015
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      Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
    • Январь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 мая, 2014
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      Eurostat Dataset Id:hlth_cd_ynrf Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, and cause of death. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
    • Январь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 мая, 2014
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      Eurostat Dataset Id:hlth_cd_ynrm Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, and cause of death. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
    • Январь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 мая, 2014
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      Eurostat Dataset Id:hlth_cd_ynrt Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, and cause of death. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
    • Июнь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2013
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      Notes: Eurostat Hierarchy: General and regional statistics > Population and social conditions > Health (health) > Public health (hlth) > Causes of death (hlth_cdeath).
    • Апрель 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 14 декабря, 2015
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      Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
    • Апрель 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 14 декабря, 2015
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      Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
    • Апрель 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 мая, 2014
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      Eurostat Dataset Id:hlth_cd_ycdrt Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, and cause of death. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
    • Апрель 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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      Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
    • Июль 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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    • Апрель 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2015
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    • Август 2015
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 07 сентября, 2015
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      The United Nations Commodity Trade Statistics Database (UN Comtrade) stores more than 1 billion trade data records from 1962. Over 140 reporter countries provide the United Nations Statistics Division with their annual international trade statistics detailed by commodities and partner countries. These data are subsequently transformed into the United Nations Statistics Division standard format with consistent coding and valuation using the UN/OECD CoprA internal processing system.
    • Март 2016
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2016
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    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 мая, 2016
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      Purchasing power parities (PPPs) are indicators of price level differences across countries. PPPs tell us how many currency units a given quantity of goods and services costs in different countries. PPPs can thus be used as currency conversion rates to convert expenditures expressed in national currencies into an artificial common currency (the Purchasing Power Standard, PPS), eliminating the effect of price level differences across countries. The main use of PPPs is to convert national accounts aggregates, like the Gross Domestic Product (GDP) of different countries, into comparable volume aggregates. Applying nominal exchange rates in this process would overestimate the GDP of countries with high price levels relative to countries with low price levels. The use of PPPs ensures that the GDP of all countries is valued at a uniform price level and thus reflects only differences in the actual volume of the economy. PPPs are also applied in analyses of relative price levels across countries. For this purpose, the PPPs are divided by the current nominal exchange rate to obtain a price level index (PLI) which expresses the price level of a given country relative to another, or relative to a group of countries like the EU28. The production of PPPs is a multilateral exercise involving the National Statistical Institutes of the participating countries, Eurostat and the OECD. Indicators in Eurostat's dissemination database The indicators published in the price domain on Eurostat's website are the following: Purchasing power parities (PPPs) scaled to the sum of expenditures of the EU Member States expressed in euro. This means that the PPP of one particular country indicates how many units of national currency one would need in that country in order to maintain the purchasing power of one euro in the EUPrice level indices (PLIs) as defined aboveNominal expenditure in national currency, as extracted from each country's national accountsNominal expenditure as percentage of GDPNominal expenditure in euroNominal expenditure per inhabitant in euroReal expenditure, defined as nominal expenditure divided by the PPPReal expenditure per inhabitantVolume indices of real expenditure per inhabitantThe price convergence indicator, defined as the coefficient of variation of the PLIs of household final consumption expenditure (HFCE). It provides an estimate of the price convergence within a group of countries. For example, if the price convergence indicator for EU28 decreases over time, the national price levels in the Member States are converging. In addition, PPPs and real expenditures are available from the national accounts domain of the database. For further details, cf. 17.1.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 09 мая, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Июль 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 14 августа, 2015
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      This table 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.
    • Май 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
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      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Июль 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 ноября, 2015
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      Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.
    • Август 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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      Eurostat Dataset Id:educ_igen 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
    • Декабрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 18 апреля, 2016
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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).
    • Май 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Январь 2016
      Источник: Transparency International
      Загружен: Knoema
      Дата обращения к источнику: 28 января, 2016
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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.
    • Март 2016
      Источник: numbeo
      Загружен: Knoema
      Дата обращения к источнику: 12 апреля, 2016
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    • 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.
    • Август 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 07 сентября, 2015
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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
    • Май 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2015
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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
    • 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.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2014
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      The objective of the CRS Aid Activity database is to provide a set of readily available basic data that enables analysis on where aid goes, what purposes it serves and what policies it aims to implement, on a comparable basis for all DAC members. Data are collected on individual projects and programmes. Focus is on financial data but some descriptive information is also made available.
    • Декабрь 2015
      Источник: numbeo
      Загружен: Knoema
      Дата обращения к источнику: 21 марта, 2016
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    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      Crop statistics refer to the following types of annual data: area under cultivation, harvested production, yield,  humidity and main area for cereals and for other main field crops (mainly dried pulses, root crops, fodder and industrial crops);harvested area, harvested production and main area for vegetables ;production area, harvested production and main area for permanent crop. The data are provided at national level. For some products regional figures (NUTS 1 or 2) are available too. The areas  are expressed in 1 000 hectares),  the harvested quantities in 1 000 tonnes and the yields in 100kg/ha. The information concerns more than 100 crop products. The earliest data are available from 1955 for cereals and from the early 1960's for fruits and vegetables. However, most Member States have started to send in data in the 1970's and 1980's. The statistical system has progressively improved and enlarged. The current Regulation (EC) No 543/2009 entered into force in January 2010. The annex was updated in 2015 through a Commission Delegated Regulation (EU) No 2015/1557. At present Eurostat receives and publishes harmonised statistical data from 28 Member States, form the EFTA countries and from the candidate and potential candidate countries broken down in: 17 categories and subcategories for cereals;29 categories and  subcategories for other main crops (mainly dry pulses and protein crops, root crops industrial crops and plants harvested green from arable land);40 categories and subcategories for vegetables;41 categories and subcategories for permanent crops;18 categories and subcategories for the Utilised Agricultural Area (UAA). For the full list of crops, please consult Annex 1. Some additional crops and transmission deadlines are covered by an ESS agreement on annual crop statistics. The main data sources are administrative records, surveys and expert estimates. National Statistical Institutes or Ministries of Agriculture are responsible for the national data collection in accordance with the Regulations and agreements in force. Eurostat is responsible for drawing the EU aggregations. Regional metadata Please note that for paragraphs where no metadata for regional data has been specified the regional metadata is identical to the metadata for the national data.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 ноября, 2015
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      Crop statistics refer to the following types of annual data: area, production harvested and yield for cereals and for other main field crops (mainly dried pulses, root crops, fodder and industrial crops);area, production harvested and yield for a large number of fruits and vegetableshumidity of the harvested crop (humidity content in %)agricultural land use. The statistics provide, for a given product, the area, the yield and the production harvested during the crop year at national level. For some products regional figures (NUTS 1 or 2) are available too. The data refer to areas under cultivation (expressed in 1 000 hectares), the quantity harvested (expressed in 1 000 tonnes) and the yield (expressed in 100kg/ha). The information concerns more than 100 crop products. The earliest data are available from 1955 for cereals and from the early 1960's for fruits and vegetables. However most Member States have started to send in data in the 1970's and 1980's. The statistical system has progressively improved and enlarged. The current Regulation (EC) No 543/2009 entered into force in January 2010. It simplified the data collection and reduced the number of crop sub-classes. At present Eurostat receives and publishes harmonised statistical data from 28 Member States broken down in: 17 categories and subcategories for cereals;30 categories and  subcategories for other main crops (mainly Dried pulses, Root crops and Industrial crops);40 categories and subcategories for vegetables;41 categories and subcategories for fruits;18 categories and subcategories for UAA (Utilised Agricultural Area).For the full list of crops, please consult Annex 1 . Some data are available also for Iceland, Norway, Switzerland, Albania, Montenegro. Former Yugoslav Republic of Macedonia, Serbia, Kosovo (under United Nations Security Council Resolution 1244/99), Bosnia Herzegovina and Turkey as well. Some additional crops are covered bya Gentlemen's agreement. These data is provided on voluntary basis by the Member States. The list of crops collected under the gentlemen's agreements is included in Annex 1. The main data sources are administrative records, surveys and expert estimates. National Statistical Institutes or Ministries of Agriculture are responsible for the national data collection in accordance with EC Regulations. Eurostat is responsible for drawing the EU aggregations. Regional metadata Please note that for paragraphs where no metadata for regional data has been specified the regional metadata is identical to the metadata for the national data.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      Not applicable
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 мая, 2016
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      20.1. Source data
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
  • D
    • Март 2015
      Источник: Bank of Canada
      Загружен: Kirill Kosenkov
      Дата обращения к источнику: 27 июля, 2015
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      The Bank of Canada’s Credit Rating Assessment Group (CRAG) comprehensive database of sovereign defaults draws on previously published data sets compiled by various official and private sector sources. It combines elements of these, together with new information, to develop estimates of stocks of government obligations in default, including bonds and other marketable securities, bank loans, and official loans in default, valued in U.S. dollars, for the years 1975 to 2014 on both a country-by-country and a global basis. This update of CRAG’s database, and subsequent updates, will be useful to researchers analyzing the economic and financial effects of individual sovereign defaults and, importantly, the impact on global financial stability of episodes involving multiple sovereign defaults.
    • Июнь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2015
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      20.1. Source data
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 апреля, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 26 марта, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Март 2014
      Источник: Center for Systemic Peace
      Загружен: Knoema
      Дата обращения к источнику: 08 августа, 2014
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      The following table lists 328 episodes of armed conflict (including 30 ongoing cases) that comprise a comprehensive accounting of all forms of major armed conflicts in the world over the contemporary period: 1946-2013
    • Январь 2015
      Источник: Economist Intelligence Unit
      Загружен: Knoema
      Дата обращения к источнику: 06 марта, 2015
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      This is the sixth edition of the Economist Intelligence Unit’s Democracy index. It reflects the situation at the end of 2013. The Democracy index is based on five categories: electoral process and pluralism; civil liberties; the functioning of government; political participation; and political culture. Countries are placed within one of four types of regimes: full democracies; flawed democracies; hybrid regimes; and authoritarian regimes.
    • Май 2015
      Источник: Islamic Development Bank
      Загружен: Knoema
      Дата обращения к источнику: 10 сентября, 2015
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    • Сентябрь 2013
      Источник: Institute of Statistics, Albania
      Загружен: Knoema
      Дата обращения к источнику: 26 мая, 2014
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      Demography Statistics of Albania, 2014
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Март 2012
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Дата обращения к источнику: 31 июля, 2015
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      IHME results, published in November 2010, provide a global assessment of trends in development assistance for health (DAH) from 1990 to 2008 and preliminary estimates for 2009 and 2010. The report, Financing Global Health 2010: Development Assistance and Country Spending in Economic Uncertainty, compiles contributions by all significant public and private channels of development assistance for improving health outcomes and strengthening health systems in low- and middle-income countries. Suggested Citation: Institute for Health Metrics and Evaluation. Development Assistance for Health Estimates 1990-2010 Tables. Seattle, United States: Institute for Health Metrics and Evaluation, 2010.
    • 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.
    • Ноябрь 2015
      Источник: Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2015
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    • Июнь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
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      Eurostat Dataset Id:educ_ilev 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
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
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      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 мая, 2016
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • Сентябрь 2012
      Источник: Americans for Divorce Reform
      Загружен: Carpe Facto
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      Divorce Indicators across countries
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 мая, 2016
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • 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.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Eurostat's database covers 1) Production and trade in roundwood and wood products, including primary and secondary products 2) Economic data on forestry and logging, including employment data 3) Sustainable forest management, comprising forest resources (assets) and environmental data. The main types of primary forest products included in (1) are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. Secondary products include further processed wood and paper products. These products are presented in greater detail; definitions are available. All of the data are compiled from the Joint Forest Sector Questionnaire (JFSQ), except for table (e), which is directly extracted from Eurostat's international trade database COMEXT (HS/CN Chapter 44). The tables in (1) cover details of the following topics: - Roundwood removals and production by type of wood and assortment (a) - Roundwood production by type of ownership (b) - Production and trade in roundwood, fuelwood and other basic products (c) - Trade in industrial roundwood by assortment and species (d) - Tropical wood imports to the EU from Chapter 44 of the Harmonised System (e) - Production and trade in sawnwood, panels and other primary products (f) - Sawnwood trade by species (g) - Production and trade in pulp and paper & paperboard (h) - Trade in secondary wood and paper products (i) Data in (2) include the output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging.  The data are in current basic prices and are compatible with National Accounts. They are collected as part of Intergrated environmental and economic accounting for forests (IEEAF), which also covers labour input in annual work units (AWU).  Under (2), two separate tables cover the number of employees of forestry and logging, the manufacture of wood and products of wood and cork, and the manufacture of paper and paper products, as estimated from the Labour Force Survey results. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. More detailed information on wood products and accounting, including definitions and questionnaires, can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.  Data in (3) are not collected by Eurostat, but by the FAO, UNECE, Forest Euope, the European Commission's departments for Environment and the Joint Research Centre. They include forest area, wood volume, defoliation on sample plots, fires and areas with protective functions.
    • Июль 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 декабря, 2015
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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.
    • Август 2015
      Источник: Institute of Statistics, Albania
      Загружен: Knoema
      Дата обращения к источнику: 23 декабря, 2015
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      Economy & Rural Development of Albania, 2014
    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Апрель 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 15 апреля, 2016
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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.
    • Июль 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      20.1. Source data
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      This consumption stands for final energy consumption. This means that the consumption in industry covers all industrial sectors with the exception of the energy sector, like power stations, oil refineries, coke ovens and all other installations transforming energy products into another form. Final energy consumption in transport covers mainly the consumption by railways and electrified urban transport systems. Final energy consumption in households/services covers quantities consumed by private households, small-scale industry, crafts, commerce, administrative bodies, services with the exception of transportation, agriculture and fishing.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      NEW METHODOLOGY (from 2007 onwards) Average half-yearly electricity prices for households and industrial end-users. The end-users are characterised by predefined annual consumption bands. The prices are collected and published considering three levels of taxation prices excluding taxes and levies;prices excluding VAT and other recoverable taxes;prices including all taxes, levies and VAT.  For the disaggregated electricity prices, separate price components are available for households and industrial consumers for production costs of electricitynetwork coststaxes and leviesOLD METHODOLOGY (until 2007) Electricity prices for households and industrial standard consumers, valid on 1st January and on 1st July of each calendar year. Standard consumers are characterised by predefined annual consumption. The prices include electricity/basic price, transmission, system services, meter rental, distribution and other services. The prices are collected and published considering three levels of taxation (see above). For structural indicators tables, where only annual data is displayed both for new and old methodology in the same table, the prices refer to the price on 1st January of each year (until 2007) and to the first semester of each year (2008 and later). Data on electricity prices for industrial consumers are collected according to Directive 2008/92/EC of the European Parliament and of the Council of 22 October 2008 concerning a Community procedure to improve the transparency of gas and electricity prices charged to industrial end-users (recast) (Text with EEA relevance). Data for electricity prices for household end-users are collected on a voluntary basis The data collection covers the full spectrum of the 28 Member States of the European Union, Candidate Countries, Potential candidate countries and EFTA countries (except Switzerland).
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2016
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      NEW METHODOLOGY (from 2007 onwards) Average half-yearly electricity prices for households and industrial end-users. The end-users are characterised by predefined annual consumption bands. The prices are collected and published considering three levels of taxation prices excluding taxes and levies;prices excluding VAT and other recoverable taxes;prices including all taxes, levies and VAT.  For the disaggregated electricity prices, separate price components are available for households and industrial consumers for production costs of electricitynetwork coststaxes and leviesOLD METHODOLOGY (until 2007) Electricity prices for households and industrial standard consumers, valid on 1st January and on 1st July of each calendar year. Standard consumers are characterised by predefined annual consumption. The prices include electricity/basic price, transmission, system services, meter rental, distribution and other services. The prices are collected and published considering three levels of taxation (see above). For structural indicators tables, where only annual data is displayed both for new and old methodology in the same table, the prices refer to the price on 1st January of each year (until 2007) and to the first semester of each year (2008 and later). Data on electricity prices for industrial consumers are collected according to Directive 2008/92/EC of the European Parliament and of the Council of 22 October 2008 concerning a Community procedure to improve the transparency of gas and electricity prices charged to industrial end-users (recast) (Text with EEA relevance). Data for electricity prices for household end-users are collected on a voluntary basis The data collection covers the full spectrum of the 28 Member States of the European Union, Candidate Countries, Potential candidate countries and EFTA countries (except Switzerland).
    • Март 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 01 апреля, 2016
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    • Апрель 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 30 июля, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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    • Декабрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 24 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 30 июля, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 августа, 2015
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    • Февраль 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2015
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    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 августа, 2015
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    • Февраль 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2015
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    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 24 апреля, 2016
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      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 мая, 2016
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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:
    • Октябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Сентябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Февраль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
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    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 14 октября, 2015
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    • Июль 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
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    • Февраль 2010
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2015
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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 patentsare defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents 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.
    • Декабрь 2014
      Источник: World Economic Forum
      Загружен: Knoema
      Дата обращения к источнику: 02 сентября, 2015
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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
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      20.1. Source data
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      20.1. Source data
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      20.1. Source data
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 февраля, 2016
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      This dataset covers the indicator for monitoring progress towards energy efficiency targets of Europe 2020 strategy implemented by Directive 2012/27/EU on energy efficiency. Annual data collection cover in principle the 28 Member States of the European Union. Time series starts in year 1990.
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 08 октября, 2015
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    • Октябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 07 октября, 2015
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      The reliability and availability of infrastructure and the provision of utility services is crucial for development. The quality of infrastructure is measured by indicators assessing the wait times to obtain selected utility services, as well as the disruption of these services. The thirteen indicators measure the reliability and provision of infrastructure services in 144 countries. In addition, the estimated cost burden due to the inadequate provision of electricity is provided.
    • Май 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 29 июня, 2015
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      The Enterprise Surveys use standard survey instruments to collect firm-level data on the business environment from business owners and top managers. The surveys cover a broad range of topics including access to finance, corruption, infrastructure, crime, competition, labor, obstacles to growth, and performance measures.The full, firm-level data are available to researchers and include answers from all the survey questions- both global questions as well as country-specific questions. Note that the survey data results presented on the website are primarily in the form of indicators, i.e. firm-level data has been aggregated to the country level.
    • Октябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2015
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      1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2015, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
    • Июль 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 ноября, 2015
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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.
    • Октябрь 2011
      Источник: United Nations Statistics Division
      Загружен: Knoema
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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. 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 Aquastat. 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 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Январь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • 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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      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.
    • Март 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2015
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements.Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics
    • Сентябрь 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 июля, 2015
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      The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods for the 1995-2011 period. It is built on trade and production data collected in 182 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Novy 2009), which estimates trade costs for each country pair using bilateral trade and gross national output.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics
    • Сентябрь 2015
      Источник: Multiple Sources
      Загружен: Knoema
      Дата обращения к источнику: 10 сентября, 2015
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    • Сентябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Июнь 2016
      Источник: XE
      Загружен: Knoema
      Дата обращения к источнику: 07 июня, 2016
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      This dataset contains the exchange rate of 1USD to their country local currency.
    • Сентябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • 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.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 марта, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 мая, 2016
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      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • Сентябрь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 октября, 2015
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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).
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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    • Январь 2015
      Источник: Coffee Board of India
      Загружен: Knoema
      Дата обращения к источнику: 24 февраля, 2016
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    • Сентябрь 2013
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 10 октября, 2013
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      This table presents information on the external long-term indebtedness of developing economies (as debtors), expressed in millions of dollars, expressed as percentage of total long-term debt, as percentage of debt source and as percentage of region. The table also provides breakdown of public and publicly guaranteed debt by source of lending (as creditors).
    • Май 2015
      Источник: Islamic Development Bank
      Загружен: Knoema
      Дата обращения к источнику: 10 сентября, 2015
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    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 17 апреля, 2016
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      International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.
  • F
    • Июль 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 01 июля, 2015
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      The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period. They are based on the sum of price-weighted quantities of different agricultural commodities produced after deductions of quantities used as seed and feed weighted in a similar manner. The resulting aggregate represents, therefore, disposable production for any use except as seed and feed. All the indices at the country, regional and world levels are calculated by the Laspeyres formula. Production quantities of each commodity are weighted by 2004-2006 average international commodity prices and summed for each year. To obtain the index, the aggregate for a given year is divided by the average aggregate for the base period. Since the FAO indices are based on the concept of agriculture as a single enterprise, amounts of seed and feed are subtracted from the production data to avoid double counting them, once in the production data and once with the crops or livestock produced from them. Deductions for seed (in the case of eggs, for hatching) and for livestock and poultry feed apply to both domestically produced and imported commodities. They cover only primary agricultural products destined to animal feed (e.g. maize, potatoes, milk, etc.). Processed and semi-processed feed items such as bran, oilcakes, meals and molasses have been completely excluded from the calculations at all stages. It should be noted that when calculating indices of agricultural, food and nonfood production, all intermediate primary inputs of agricultural origin are deducted. However, for indices of any other commodity group, only inputs originating from within the same group are deducted; thus, only seed is removed from the group “crops” and from all crop subgroups, such as cereals, oil crops, etc.; and both feed and seed originating from within the livestock sector (e.g. milk feed, hatching eggs) are removed from the group “livestock products”. For the main two livestock subgroups, namely, meat and milk, only feed originating from the respective subgroup is removed. The”international commodity prices” are used in order to avoid the use of exchange rates for obtaining continental and world aggregates, and also to improve and facilitate international comparative analysis of productivity at the national level. These” international prices”, expressed in so-called”international dollars”, are derived using a Geary-Khamis formula for the agricultural sector. This method assigns a single “price” to each commodity. For example, one metric ton of wheat has the same price regardless of the country where it was produced. The currency unit in which the prices are expressed has no influence on the indices published. The commodities covered in the computation of indices of agricultural production are all crops and livestock products originating in each country. Practically all products are covered, with the main exception of fodder crops. The category of food production includes commodities that are considered edible and that contain nutrients. Accordingly, coffee and tea are excluded along with inedible commodities because, although edible, they have practically no nutritive value. Indices for meat production are computed based on data for production from indigenous animals, which takes account of the meat equivalent of exported live animals but excludes the meat equivalent of imported live animals. For index purposes, annual changes in livestock and poultry numbers or in their average live weight are not taken into account. The indices are calculated from production data presented on a calendar year basis. The FAO indices may differ from those produced by the countries themselves because of differences in concepts of production, coverage, weights, time reference of data and methods of calculation
    • Август 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 августа, 2015
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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.
    • Апрель 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 12 мая, 2015
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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.
    • 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).
    • Октябрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 31 октября, 2015
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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 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 27 июля, 2015
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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.
    • Август 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 27 июля, 2015
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    • Май 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 17 мая, 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.
    • Май 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 09 сентября, 2015
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    • 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
    • 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: 12 мая, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      Not applicable
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      Not applicable
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 апреля, 2016
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      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      Final energy consumption includes all energy delivered to the final consumer's door (in the industry, transport, households and other sectors) for all energy uses. It excludes deliveries for transformation and/or own use of the energy producing industries, as well as network losses. This table presents the total final energy consumption (product 0000 – All products) and the energy consumption of a selected number of products or product groups.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      20.1. Source data
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      20.1. Source data
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      20.1. Source data
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • Август 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 августа, 2015
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      A 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 availability for human consumption which corresponds to the sources of supply and its utilisation. 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 utilisation side a distinction is made between the quantities exported, fed to livestock + used for seed, losses during storage and transportation, and food supplies available for human consumption. The per capita 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 in it. Data on per capita 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 dietary energy value, protein and fat content. The Food Balances domain covers: Production Trade Feed and Seed Waste Other utilisation Consumption Elements covered: Quantities Calories, Proteins, Fats
    • Апрель 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 25 августа, 2015
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    • Апрель 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 мая, 2015
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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. The agricultural supply domain covers food commodities that have been converted back into primary equivalents: Quantity Dietary Energy Proteins Fats Totals and per Capita
    • Апрель 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 мая, 2015
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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. The agricultural supply domain covers food commodities that have been converted back into primary equivalents: Quantity Dietary Energy, Proteins, Fats, Totals and per Capita
    • Октябрь 2013
      Источник: International Federation of Association Football
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2013
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      Football Dataset, 2013, FIFA
    • 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.
    • Февраль 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 10 августа, 2015
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      Eurostat Dataset Id:educ_thfrlan 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
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      The average number of foreign languages learned per pupil in secondary education (ISCED 2 and 3) is obtained by dividing the total number of pupils learning foreign languages by the number of pupils at that level. A foreign language is recognised as such in the curriculum or other official document relating to education in the country. Irish, Luxembourgish and regional languages are excluded, although provision may be made for them in certain Member States. Allowing for exceptions, when one of the national languages is taught in schools where it is not the teaching language, it is not considered as a foreign language.
    • 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)
    • Ноябрь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 декабря, 2015
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      Eurostat Dataset Id:educ_mofo_dst Statistics on student/graduate mobility and foreigners in tertiary education collected through the UOE data collection on education and training systems. Data concerning mobility and foreigners are collected as follows:Number of mobile and foreign enrolled students by level of education, programme destination and field of education.Number of mobile and foreign enrolled students by level of education, programme destination, EU/non EU/unknown membership and gender.Number of foreign enrolled students by level of education, programme destination and country of citizenship.Number of mobile enrolled students by level of education, programme destination, and country of origin (usual residence and/or country of prior education).Number of mobile and foreign graduates by level of education, programme destination, cumulative duration and gender. Data by both country of origin and country of destination of the students are disseminated. The absolute figures along with indicators are published.
    • 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
    • Май 2016
      Источник: U.S. Census Bureau
      Загружен: Knoema
      Дата обращения к источнику: 12 мая, 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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    • Декабрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 января, 2016
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      The UN FAO Forestry Statistics contains global compilations of comparable annual statistics on the production and import/export of forest products
    • Май 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 25 августа, 2015
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    • Апрель 2012
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Июнь 2015
      Источник: Carbon Dioxide Information Analysis Center
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2015
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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)
    • Ноябрь 2015
      Источник: Fund for Peace
      Загружен: Knoema
      Дата обращения к источнику: 17 ноября, 2015
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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.
    • Январь 2016
      Источник: Freedom House
      Загружен: Knoema
      Дата обращения к источнику: 11 февраля, 2016
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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.
    • Апрель 2012
      Источник: Public Accountability Mechanisms
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      Experts commonly support the notion that access to information is integral to the promotion of participation, transparency and accountability in any given society. A freedom of information framework aims at improving the efficiency of the government and increasing the transparency of its functioning by: 1. Regularly and reliably providing government documents to the public; 2. Educating the public on the significance of transparent government;3. Facilitating appropriate and relevant use of information in the lives of individuals
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • 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.
    • Февраль 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 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.
  • G
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 14 мая, 2016
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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:
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 14 мая, 2016
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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:
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 мая, 2016
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      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associatedtransmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 мая, 2016
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      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 апреля, 2016
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    • Октябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Декабрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 26 мая, 2016
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    • Декабрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 26 мая, 2016
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    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2015
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    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Июль 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
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    • Март 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
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    • 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.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Декабрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2016
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      This table provides information on the main relevant indicators. The data have mainly been supplied by the World Bank, and cover, where available: -Current Gross National Income (GNI) in US $ millions; -GNI per capita (US $); -Population; -Energy use as kilogram of oil per capita; -Average Life Expectancy of Adults; and -Adult Literacy Rate as a percentage of the country population. Data for Sudan include South Sudan, with the exception of total population, which is reported separately.
    • Декабрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 сентября, 2015
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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.
    • Декабрь 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
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    • Январь 2013
      Источник: Emission Database for Global Atmospheric Research
      Загружен: Knoema
      Дата обращения к источнику: 11 апреля, 2013
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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 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.
    • Май 2015
      Источник: DHL
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2015
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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: 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.
    • Январь 2013
      Источник: Emission Database for Global Atmospheric Research
      Загружен: Knoema
      Дата обращения к источнику: 11 июня, 2013
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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.
    • Май 2015
      Источник: Global Entrepreneurship and Development Institute
      Загружен: Knoema
      Дата обращения к источнику: 23 июля, 2015
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      Global Entrepreneurship Index provides information about global entrepreneurship subIndex ranks and scoring of all countries.It also provides information about certain indicators like attitudes,abilities and aspirations with their ranks and scores
    • Сентябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 12 ноября, 2015
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      The Global Financial Development Database is an extensive dataset of financial system characteristics for 203 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 Čihák, Aslı 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.
    • 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
    • Сентябрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 05 октября, 2015
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      The 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.
    • Май 2015
      Источник: World Economic Forum
      Загружен: Knoema
      Дата обращения к источнику: 16 июня, 2015
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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.
    • Сентябрь 2015
      Источник: World Health Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 сентября, 2015
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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 2015
      Источник: International Food Policy Research Institute
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2016
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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.This year, 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 2015 GHI has been calculated for 117 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 2010 and 2016. It therefore reflects the hunger levels during this period rather than solely capturing conditions in 2015. The 1990, 1995, 2000, 2005, and 2015 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 1990, 1995, 2000, 2005, and 2015 GHI scores. Undernourishment data and projections for the 2015 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; statistical tables from UNICEF; and the latest national survey data for India from UNICEF India. For the 2015 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 1990, 1995, 2000, and 2005, and 2015 GHI scores. For the 2015 GHI, data on child mortality are for 2013.
    • Июнь 2015
      Источник: World Economic Forum
      Загружен: Knoema
      Дата обращения к источнику: 14 августа, 2015
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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 2015
      Источник: Global Innovation Index
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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      The Global Innovation Index (GII) 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.
    • 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).
    • Июнь 2015
      Источник: Milken Institute
      Загружен: Knoema
      Дата обращения к источнику: 08 сентября, 2015
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      The Global Opportunity Index answers a pressing need for information that's vital to a thriving global economy. What policies can governments pursue to attract foreign direct investment (FDI), expand their economies, and accelerate job creation? What do multinational companies, other investors, and development agencies need to know before making large-scale, long-term capital commitments?
    • Май 2015
      Источник: Institute for Economics and Peace
      Загружен: Knoema
      Дата обращения к источнику: 22 июля, 2015
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      The Global Peace Index (GPI) is an attemt to measure the relative position of nations and regions peacefulness.For 2014 and 2015, five out of the nine geographical regions experienced an improvement in peace and, among those that became less peaceful, substantial changes in the Index were only seen in two: sub-Saharan Africa and the Middle East and North Africa (MENA), which continues to suffer from the political aftermath of the Arab Spring.
    • Май 2016
      Источник: GlobalPetrolPrices.com
      Загружен: Knoema
      Дата обращения к источнику: 24 мая, 2016
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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
    • Июнь 2013
      Источник: Pew Research Center
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2013
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      Global Restrictions on Religion, 2013
    • Январь 2016
      Источник: A. T. Kearney
      Загружен: Knoema
      Дата обращения к источнику: 18 марта, 2016
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      The Global Retail Development Index™ is an annual study that ranks the top 30 developing countries for retail expansion worldwide. The Index analyzes 25 macroeconomic and retail-specific variables to help retailers devise successful global strategies and to identify developing market investment opportunities. The GRDI is unique because it identifies today's most successful markets and those that offer the most potential for the future.
    • Ноябрь 2014
      Источник: Walk Free Foundation
      Загружен: Knoema
      Дата обращения к источнику: 26 ноября, 2014
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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?
    • 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
    • Апрель 2015
      Источник: INSEAD
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2015
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      This 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.
    • Август 2015
      Источник: KPMG
      Загружен: Knoema
      Дата обращения к источнику: 27 августа, 2015
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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 2015. Provided by KPMG.
    • Ноябрь 2015
      Источник: Institute for Economics and Peace
      Загружен: Knoema
      Дата обращения к источнику: 12 апреля, 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 162 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.
    • Октябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 мая, 2016
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics
    • 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.
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 30 марта, 2016
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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.
    • Май 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Январь 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2015
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      The data originate from the education goals of developing-country partners of the Global Partnership for Education (GPE). Indicators compare actual values observed against targets, as set in education sector plans, joint sector reviews, and GPE grant applications. Indicators present key education outcomes and service delivery data; domestic, external, and GPE financing; learning outcomes; the composition of the Local Education Groups; and aid effectiveness in the education sector.
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 08 октября, 2015
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    • Сентябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 17 декабря, 2015
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      Eurostat Dataset Id:educ_grad2 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
    • Сентябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 декабря, 2015
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      Eurostat Dataset Id:educ_grad4 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
    • Сентябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 10 декабря, 2015
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      Eurostat Dataset Id:educ_grad5 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
    • Март 2015
      Источник: COCERAL
      Загружен: Knoema
      Дата обращения к источнику: 25 марта, 2015
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      COCERAL is the acronym for "Comité du Commerce des céréales, aliments du bétail, oléagineux, huile d'olive, huiles et graisses et agrofournitures" and is considered as the voice representing the European cereals, rice, feedstuffs, oilseeds, olive oil, oils and fats and agrosupply trade.
    • 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.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 мая, 2016
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      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associatedtransmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections:
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 мая, 2016
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      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      20.1. Source data
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 мая, 2016
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      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associatedtransmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 мая, 2016
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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:
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 мая, 2016
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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:
  • H
    • Май 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • 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
    • Апрель 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 03 мая, 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.
    • Декабрь 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 17 августа, 2015
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      This dataset provides HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 80 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).
    • Ноябрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2016
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    • Август 2015
      Источник: ClinicalTrials.gov
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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      ClinicalTrials.gov currently lists 193,756 studies with locations in all 50 States and in 190 countries. As of May 2015, ClinicalTrials.gov receives an average of more than 179 million page views per month and 61,000 unique visitors daily
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 24 апреля, 2016
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      We know people are living longer. However, do we live longer and better or do we gain only years of life in bad health? The indicator of healthy life years (HLY) measures the number of remaining years that a person of specific age is expected to live without any severe or moderate health problems. The notion of health problem for Eurostat's HLY is reflecting a disability dimension and is based on a self-perceived question which aims to measure the extent of any limitations, for at least six months, because of a health problem that may have affected respondents as regards activities they usually do (the so-called GALI - Global Activity Limitation Instrument foreseen in the annual EU-SILC survey). The indicator is therefor also called disability-free life expectancy (DFLE). So, HLY is a composite indicator that combines mortality data with health status data. HLY also monitor health as a productive or economic factor. An increase in healthy life years is one of the main goals for European health policy. And it would not only improve the situation of individuals but also result in lower levels of public health care expenditure. If healthy life years are increasing more rapidly than life expectancy, it means that people are living more years in better health. Please note that a revision took place in March 2012: the whole series 2004-2010 were recalculated taking into account: the use of the age at interview for the GALI prevalences instead of the age of the income period (as it is traditionally done for many income and living indicators); differences with the previous calculations on outcomes and trends are minimalthe latest versions of the EU-SILC and Mortality data
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 24 апреля, 2016
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      20.1. Source data
    • Сентябрь 2015
      Источник: World Organisation for Animal Health
      Загружен: Kirill Kosenkov
      Дата обращения к источнику: 24 сентября, 2015
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      The World Organisation for Animal Health (OIE) data on Highly Pathogenic Avian Influenza in Animals (HPAI, informally known as bird flu). Number of outbreaks, total susceptible animals & animals destroyed and other stats by country.
    • Декабрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 18 апреля, 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.
    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Июль 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 июля, 2015
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      Eurostat Dataset Id:hlth_rs_bds Data descriptionNon-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision.Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data.The resource-related data refer to both human and technical resources, i.e. they relate to:- 'Health care staff': 'manpower' active in the health care sector (doctors, dentists, nurses, etc.);- 'Health care facilities': technical capacity dimensions (hospital beds, beds in nursing and residential care facilities, etc.).Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants).Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used.Health care data on resources are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.
    • Июль 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 ноября, 2015
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      Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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      Labour cost statistics provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCS), which provides details on the level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004, 2008 and 2012. All EU Member States together with Norway and Iceland (2004 onwards), Turkey and Macedonia (2008), as well as Serbia (2012) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (for larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (for non-euro-area countries) and Purchasing Power Standards (PPS). Labour costs are quoted in total per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees.
    • Сентябрь 2013
      Источник: Institute of Statistics, Albania
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2014
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      Households Characteristics of Albania, 2014
    • Декабрь 2015
      Источник: United Nations Development Programme
      Загружен: Knoema
      Дата обращения к источнику: 22 декабря, 2015
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      The Human Development Report presents a wealth of statistical information on different aspects of human development
  • I
    • Август 2015
      Источник: International Centre for Tax and Development
      Загружен: Knoema
      Дата обращения к источнику: 09 сентября, 2015
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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.
    • Июнь 2016
      Источник: International Development Association
      Загружен: Knoema
      Дата обращения к источнику: 06 июня, 2016
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      The World Bank’s IDA Resource Allocation Index (IRAI) is based on the results of the annual CPIA exercise that covers the IDA eligible countries. The CPIA rates countries against a set of 16 criteria grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The criteria are focused on balancing the capture of the key factors that foster growth and poverty reduction, with the need to avoid undue burden on the assessment process. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IRAI.
    • 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.
    • 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.
    • Декабрь 2014
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 01 июня, 2016
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      The Government Finance Statistics  http://www.imf.org/external/pubs/ft/gfs/manual/aboutgfs.htm
    • Апрель 2016
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 14 апреля, 2016
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    • Декабрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 11 февраля, 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.
    • 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
      Выбрать
      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.
    • Октябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 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.
    • Август 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 сентября, 2014
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    • Апрель 2012
      Источник: Public Accountability Mechanisms
      Загружен: Knoema
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      Financial declarations or income and asset disclosures (IADs) are quickly becoming an important tool for anticorruption agencies and governments to fight corruption. IAD systems can play two important roles within a broader framework of good governance: prevention and enforcement. In an effort to discover how best to design and implement an IAD system, the analysis conducted suggests that countries ultimately must design a system that best complements the environment in which it will function. However, there are several key principles that policy makers and practitioners need to consider: limit the number of filers to improve the odds of success, set modest and achievable expectations, provide resources commensurate with the mandate, prioritize verification procedures to align with available resources, and balance privacy concerns with public access to declaration.
    • Январь 2016
      Источник: Heritage Foundation
      Загружен: Knoema
      Дата обращения к источнику: 01 февраля, 2016
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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.
    • Октябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 02 ноября, 2015
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    • Ноябрь 2015
      Источник: United Nations Industrial Development Organization
      Загружен: Knoema
      Дата обращения к источнику: 14 декабря, 2015
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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.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 марта, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 апреля, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Апрель 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2015
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    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 17 апреля, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Февраль 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 июня, 2015
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      Eurostat Dataset Id: nrg_114a
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 февраля, 2016
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      These are data collected via the annual electricity and heat questionnaire. The variables are: Total capacity (MWe)Capacity by source of electricity production (MWe)Capacity by type of generation in power plants using combustible fuels (MWe)Capacity by type of firing and by type of fuel used in power plants using combustible fuels (MWe) All reported capacities are broken down by type of supplier (main activity producer or auto-producer).  For plants based on combustion of fuels the capacity is further divided by type of technology of the generating plant (steam, internal combustion….), by type of firing and by type of fuels.   Further variables are: Peak load (MWe) the maximum load on an electrical power-supply systemCapacity at peak (MWe)Date and time of peak load occurrence The peak load is the highest simultaneous demand for electricity satisfied during the year. The capacity at time of peak load is the total available net capacity at that time.   Data collection covers the full spectrum of the 28 Member States of the European Union.
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 января, 2016
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      These are statistics concerning the civil use of nuclear energy by Member States of the EU. The variables are:enrichment capacity,production capacity of fresh fuel elements,production capacity of MOX fuel fabrication plants, production of fresh fuel elements,production of MOX fuel elements, production of nuclear heat,annual average burnup of definitively discharged irradiated fuel elements,production of Uranium and Plutonium in reprocessing plants and capacity (Uranium and Plutonium) of reprocessing plants. Data collection covers in principle Member States of the European Union, Iceland and Norway. However, only 14 EU Member States (Belgium, Bulgaria, Czech Republic, Germany, Spain, France, Hungary, The Netherlands, Romania, Slovenia, Slovakia, Finland, Sweden and UK) operate nuclear reactors. EU-28 aggregate is shown for all variables (except for annual average burnup or those with confidential data).
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 февраля, 2016
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      Data on solar collector's surface displays information on the area of solar thermal collectors in thousand square metres.  Data collection covers the full spectrum of the 28 Member States of the European Union.
    • 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.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • 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
    • 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
    • Декабрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2015
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      Focuses on financial flows, trends in external debt, and other major financial indicators for developing and advanced economies (data from Quarterly External Debt Statistics and Quarterly Public Sector Debt databases). Includes over 200 time series indicators from 1970 to 2014, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2024.
    • Май 2016
      Источник: U.S. Energy Information Administration
      Загружен: Knoema
      Дата обращения к источнику: 09 мая, 2016
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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
    • Июль 2012
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 17 июля, 2012
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      Notes: Eurostat Hierarchy: Economy and finance > Balance of payments - International transactions (bop) > Balance of payments of the EU institutions (bop_euins).
    • Сентябрь 2015
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 24 сентября, 2015
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      The data presented here are a key component of the USDA Baseline projections process, and can be used as a benchmark for analyzing the impacts of U.S. and global macroeconomic shocks. The data for the Baseline projections are updated once a year to reflect the assumptions used for the Baseline. The historical data will be revised several times a year as the underlying data evolve.
    • Март 2014
      Источник: United Nations Development Programme
      Загружен: Knoema
      Дата обращения к источнику: 07 марта, 2014
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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.
    • Декабрь 2015
      Источник: Property Rights Alliance
      Загружен: Knoema
      Дата обращения к источнику: 24 декабря, 2015
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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 policimakers 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.
    • 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).
    • Июнь 2015
      Источник: International Telecommunication Union
      Загружен: Knoema
      Дата обращения к источнику: 01 июля, 2015
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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.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 апреля, 2016
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      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Апрель 2014
      Источник: Federal Communications Commission
      Загружен: Knoema
      Дата обращения к источнику: 11 апреля, 2016
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    • Май 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 мая, 2016
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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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    • Июль 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 17 августа, 2015
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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.
    • Апрель 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 05 апреля, 2016
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    • Февраль 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 сентября, 2015
      Выбрать
    • Декабрь 2011
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2015
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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.
    • Октябрь 2012
      Источник: International Transport Forum
      Загружен: Knoema
      Дата обращения к источнику: 05 октября, 2012
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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.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2014
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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.
    • Октябрь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 25 февраля, 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.
    • Январь 2010
      Источник: International Transport Forum
      Загружен: Knoema
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      These tables contain detailed data on Greenhouse Gas (GHG) emissions and carbon dioxide (CO2) emissions from fossil fuel combustion in member countries of the International Transport Forum and member countries of OECD. Data on greenhouse gas emissions (and CO2 emissions in particular) come from national reports to the United Nations Framework Convention on Climate Change (UNFCCC) and from the International Energy Agency (IEA). UNFCCC and IEA emissions data are based on the default methods and emissions factors from the Revised 1996 IPCC (Intergovernmental Panel on Climate Change) Guidelines for National Greenhouse Gas Inventories. CO2 emissions from international aviation and international maritime transport are included in national totals allocated on the basis of fuel sales. There is, however, no internationally agreed allocation methodology for these sectors as of yet.
  • J
    • Август 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 03 марта, 2015
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      External debt data and selected foreign assets from international creditor/market sources
    • Июнь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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  • 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: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 19 декабря, 2015
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      Labour cost statistics provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCS), which provides details on the level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004, 2008 and 2012. All EU Member States together with Norway and Iceland (2004 onwards), Turkey and Macedonia (2008), as well as Serbia (2012) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (for larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (for non-euro-area countries) and Purchasing Power Standards (PPS). Labour costs are quoted in total per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees.
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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      Labour cost statistics provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCS), which provides details on the level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004, 2008 and 2012. All EU Member States together with Norway and Iceland (2004 onwards), Turkey and Macedonia (2008), as well as Serbia (2012) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (for larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (for non-euro-area countries) and Purchasing Power Standards (PPS). Labour costs are quoted in total per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 ноября, 2015
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      Crop statistics refer to the following types of annual data:area, production harvested and yield for cereals and for other main field crops (mainly dried pulses, root crops, fodder and industrial crops);area, production harvested and yield for a large number of fruits and vegetableshumidity of the harvested crop (humidity content in %)agricultural land use. The statistics provide, for a given product, the area, the yield and the production harvested during the crop year at national level. For some products regional figures (NUTS 1 or 2) are available too. The data refer to areas under cultivation (expressed in 1 000 hectares), the quantity harvested (expressed in 1 000 tonnes) and the yield (expressed in 100kg/ha). The information concerns more than 100 crop products. The earliest data are available from 1955 for cereals and from the early 1960's for fruits and vegetables. However most Member States have started to send in data in the 1970's and 1980's. The statistical system has progressively improved and enlarged. The current Regulation (EC) No 543/2009 entered into force in January 2010. It simplified the data collection and reduced the number of crop sub-classes. At present Eurostat receives and publishes harmonised statistical data from 28 Member States broken down in:17 categories and subcategories for cereals;30 categories and  subcategories for other main crops (mainly Dried pulses, Root crops and Industrial crops);40 categories and subcategories for vegetables;41 categories and subcategories for fruits;18 categories and subcategories for UAA (Utilised Agricultural Area).For the full list of crops, please consult Annex 1 . Some data are available also for Iceland, Norway, Switzerland, Albania, Montenegro. Former Yugoslav Republic of Macedonia, Serbia, Kosovo (under United Nations Security Council Resolution 1244/99), Bosnia Herzegovina and Turkey as well. Some additional crops are covered bya Gentlemen's agreement. These data is provided on voluntary basis by the Member States. The list of crops collected under the gentlemen's agreements is included in Annex 1. The main data sources are administrative records, surveys and expert estimates. National Statistical Institutes or Ministries of Agriculture are responsible for the national data collection in accordance with EC Regulations. Eurostat is responsible for drawing the EU aggregations. Regional metadata Please note that for paragraphs where no metadata for regional data has been specified the regional metadata is identical to the metadata for the national data.
    • Ноябрь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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      Eurostat Dataset Id:educ_ilang 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
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 09 марта, 2016
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      The Fertility data at national level are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year and the population on 1 January of the current year are collected from the national statistical institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year T are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on fertility field: - Total live births in year (T-1) - Live births by month in year T - Live births by mother's age, year of birth and legal marital status in year T-1 - Live births by mother's age, year of birth and birth order in year T-1 - Live births by mother's age and educational attainment (ISCED 1997) in year T-1 - Declared legal abortions by age in year T-1 Based on this information, Eurostat computes and disseminates the following fertility indicators: Total fertility rate, Fertility rates by mother's age (Age specific fertility rates) and Mean age of women at childbirth. The most recent (aggregated) data on live births can be found under the 'Total population and demographic events - Annual balance (demo_gen)'. This includes also the most recent Eurostat now casts on the demographic indicators (published in December of each year). In principle, the demographic balance is updated three times per year, after each of the national data collections. Detailed information on fertility (by age, sex and marital status, birth order, educational attainment) can be found under the section Fertility (demo_fer). This disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 09 марта, 2016
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      Not applicable
    • Ноябрь 2015
      Источник: Legatum Institute
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2016
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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.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Апрель 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 14 марта, 2016
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      Not applicable
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 10 марта, 2016
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      Not applicable
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 февраля, 2016
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      Not applicable
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 апреля, 2016
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      Not applicable
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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      Not applicable
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 марта, 2016
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      Not applicable
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 апреля, 2016
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      Not applicable
    • Апрель 2016
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 01 июня, 2016
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    • Март 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 24 ноября, 2014
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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).
    • Март 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 22 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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    • Июнь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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  • M
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 марта, 2016
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      The focus of this domain is on enlargement countries, in other words the following country groups:candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • Май 2015
      Источник: Islamic Development Bank
      Загружен: Knoema
      Дата обращения к источнику: 09 сентября, 2015
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    • Ноябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 12 ноября, 2015
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    • Июнь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
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      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
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      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 марта, 2016
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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.
    • 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.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 мая, 2016
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation. These data collected are available upon request.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 мая, 2016
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 мая, 2016
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Eurostat Dataset Id:educ_thflds 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
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2015
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    • Декабрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 13 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      The mean age of women when their children are born.
    • Декабрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 08 декабря, 2015
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    • Декабрь 2015
      Источник: International Telecommunication Union
      Загружен: Knoema
      Дата обращения к источнику: 22 января, 2016
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      This annual 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. One of the key findings of this year’s MIS Report is that the least developed countries (LDCs) are making progress with their connectivity initiatives. However, in 2015, only 6.7 per cent of households in LDCs had Internet access compared with 46 per cent of households worldwide and more than 80 per cent of households in developed countries. The report also reveals that, globally, 46 per cent of men and 41 per cent of women are Internet users.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 мая, 2016
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements.Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics <
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      The median age of a given population is the age separating the group into two halves of equal size. In the case of this indicator it means that half of the student population, i.e. persons enrolled in tertiary education (ISCED levels 5 and 6), is younger than the median age and the other half is older.
    • Май 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Сентябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Декабрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 марта, 2016
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      This dataset presents members' total use of the multilateral system i.e. both their multilateral aid ("Core contributions to") and bilateral aid channelled through ("Contributions through") multilateral organisations. These data originate from members' reporting at item-level in the CRS and are published here starting with 2011 data (item-level data for multilateral aid is not complete in CRS for earlier years). Note that the Secretariat has in the context of the Multilateral Aid Report published excel files with data on core contributions and non-core bilateral aid channelled through multilateral organisations covering the period. These files are available on our website (see link below).
    • Июнь 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2015
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      This table presents merchandise trade complementarity index which assesses the suitability of preferential trade agreement between two economies given the structure of one potential partners’ exports match the imports of the other potential partner. Changes over time may indicate whether the trade profiles are becoming more or less compatible.
    • Ноябрь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 января, 2016
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      This table presents merchandise trade by product based on SITC, Rev.3 commodity classification (the most detailed level is three digit), expressed in thousands of dollars
    • Ноябрь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 13 января, 2016
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      This table presents merchandise trade by product based on SITC, Rev.3 commodity classification (the most detailed level is three digit), expressed in thousands of dollars
    • Ноябрь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 февраля, 2016
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      This table presents merchandise trade by trading partner expressed in thousands of dollars
    • Июль 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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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.
    • Май 2016
      Источник: National Institute of Statistics and Geography of Mexico
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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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 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 22 декабря, 2015
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      This table presents two different series on remittances expressed in millions of dollars: (1) Total remittances, which cover workers' remittances, compensation of employees and migrants' transfers; and (2) Workers' remittances plus compensation of employees (3) Personal remittances. It also shows remittances as percentage of exports and imports of goods and services, and as percentage of GDP. Aggregated figures for country groups are calculated only for the series Total Migrants' remittances, annual, 1980-2011, July 2012
    • Май 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 мая, 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, 2012 for INWARD is an estimate.
    • Ноябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 24 февраля, 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.
    • 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 2016
      Источник: numbeo
      Загружен: Knoema
      Дата обращения к источнику: 28 января, 2016
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      Minimum wage statistics refer to national minimum wages. The following data are available: Monthly minimum wages in euro, national currencies and Purchasing Power Standards (PPS). The data are bi-annual and refer to 1 January (S1) and 1 July (S2) from 1999 onwards.Monthly minimum wage as a proportion of average monthly earnings in the business economy and in industry, construction and services (except activities of households as employers and extra-territorial organisations and bodies) (Nace Rev. 2). The data are annual from 2008 onwards.Monthly minimum wage as a proportion of average monthly earnings in industry and services (NACE Rev. 1.1). The data are annual from 1999 to 2009. Data are released in January and July on the basis of information from national authorities such as national statistical institutes and ministries of labour and social affairs.
    • Март 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2015
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      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 02 февраля, 2016
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      Eurostat Dataset Id:earn_mw_cur   The basic national minimum wage is fixed at an hourly, weekly or monthly rate, and this minimum wage is enforced by law (the government), often after consultation with the social partners, or directly by national intersectoral agreement. The national minimum wage usually applies to all employees, or at least to a large majority of employees in the country. Gross wages are reported. Information is available on:Monthly minimum wages in euro, Purchasing Power Standards (PPS) and, for non euro area countries, national currencies.Monthly minimum wage as a proportion of average monthly earnings in the business economy and in industry, construction and services (except activities of households as employers and extra-territorial organisations and bodies) (Nace Rev. 2, data from 2008 onwards).Monthly minimum wage as a proportion of average monthly earnings in industry and services (NACE Rev. 1.1, data 1999-2009). Minimum wage statistics published by Eurostat refer to monthly national minimum wages. For countries where the national minimum wage is not set monthly (e.g. hourly or weekly) the rates are converted into monthly rates (see also 20.6). The data collection excludes countries which do not have a national minimum wage (see 3.7 for details).
    • Октябрь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 февраля, 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.
    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2015
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    • 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
    • Декабрь 2015
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 22 января, 2016
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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.
    • Октябрь 2015
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 14 апреля, 2016
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      The Economic Statistics Branch of the United Nations Statistics Division (UNSD) maintains and annually updates the National Accounts Official Country Data database. This work is carried out in accordance with the recommendation of the Statistical Commission at its first session that the Statistics Division of the United Nations should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database contains detailed official national accounts statistics in national currencies as provided by the National Statistical Offices.Data are available for most of the countries or areas of the world and form a valuable source of information on their economies. The database contains data as far back as 1946, up to the year t-1, with data for most countries available from the 1970s. The database covers not only national accounts main aggregates such as gross domestic product, national income, saving, value added by industry and household and government consumption expenditure and its relationships; but also detailed statistics for institutional sectors (including the rest of the world), comprising the production account, the generation of income account, the allocation of primary income account, the secondary distribution of income account, the use of disposable income account, the capital account and the financial account, if they are compiled by countries.The statistics for each country or area are presented according to the uniform table headings and classifications as recommended in the United Nations System of National Accounts 1993 (1993 SNA).Different series numbers (dimension “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 1968 SNA national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the 1993 SNA national accounts methodology, and series numbers with four digits (1000, 1100, etc) refer to data compiled using the 2008 SNA 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.
    • Апрель 2015
      Источник: World Health Organization
      Загружен: Knoema
      Дата обращения к источнику: 11 мая, 2015
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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 national strategies for effective health financing and in raising additional funds for health. Information can be used to make financial projections of a country’s health system requirements and compare their own experiences with the past or with those of other countries.
    • Октябрь 2015
      Источник: Water FootPrint Network
      Загружен: Knoema
      Дата обращения к источнику: 26 октября, 2015
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    • Июнь 2015
      Источник: Freedom House
      Загружен: Knoema
      Дата обращения к источнику: 30 июня, 2015
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      Note: The ratings are based on a scale of 1 to 7, with 1 representing the highest level of democratic progress and 7 the lowest. The 2013 ratings reflect the period January 1 through December 31, 2012. Nations in Transit is Freedom House’s comprehensive, comparative study of democratic development in 29 countries from Central Europe to Eurasia. Nations in Transit 2013 suggest that the countries that have achieved the greatest democratic success since the Cold War’s end are now displaying serious vulnerabilities in their young democratic systems. Over the past five years, stagnation and backsliding is evident in key governance indicators across the new EU member states and countries of the Balkans. Hungary, a powerful example of this trend, continued on a negative trajectory that was propelled by the current government’s drive to concentrate power. Ukraine’s scores similarly continued to worsen, with declines in five of the seven Nations in Transit categories, as authorities undertook a broad assault on institutional accountability and transparency. Difficult economic conditions and harsh austerity measures posed challenges to democratic development in the region. In the Balkans, critical reforms stalled in nearly all countries in 2012.
    • Июнь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2015
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      Eurostat Dataset Id:educ_entr2tl 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
    • 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 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      Number of animals from the November/December survey
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      Number of animals from the November/December survey
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 24 декабря, 2015
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      Labour cost statistics provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCS), which provides details on the level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004, 2008 and 2012. All EU Member States together with Norway and Iceland (2004 onwards), Turkey and Macedonia (2008), as well as Serbia (2012) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (for larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (for non-euro-area countries) and Purchasing Power Standards (PPS). Labour costs are quoted in total per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees.
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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      Labour cost statistics provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCS), which provides details on the level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004, 2008 and 2012. All EU Member States together with Norway and Iceland (2004 onwards), Turkey and Macedonia (2008), as well as Serbia (2012) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (for larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (for non-euro-area countries) and Purchasing Power Standards (PPS). Labour costs are quoted in total per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      Live births are the births of children that showed any sign of life.
    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2015
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    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      Number of animals from the November/December survey
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      Number of sheep (over 500,000) from the November/December survey
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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      Labour cost statistics provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCS), which provides details on the level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004, 2008 and 2012. All EU Member States together with Norway and Iceland (2004 onwards), Turkey and Macedonia (2008), as well as Serbia (2012) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (for larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (for non-euro-area countries) and Purchasing Power Standards (PPS). Labour costs are quoted in total per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees.
    • Сентябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2015
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  • O
    • Ноябрь 2015
      Источник: Ocean Health Index
      Загружен: Knoema
      Дата обращения к источнику: 26 ноября, 2015
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      Ocean Health Index, 2015
    • 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.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 15 января, 2015
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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 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Октябрь 2013
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 октября, 2013
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      This table gives information on official financial flows by type and sources. It is further broken down by individual country, geographical region and economic grouping (as recipients); and expressed in millions of dollars, as percentage of total flows and as percentage of region.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      20.1. Source data
    • Июль 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 13 октября, 2015
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    • Июль 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 13 октября, 2015
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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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    • Октябрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2015
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      Commodity prices have declined sharply over the past three years, and output growth has slowed considerably among those emerging market and developing economies that are net exporters of commodities. A critical question for policymakers in these countries is whether commodity windfall gains and losses influence potential output or merely trigger transient fluctuations of actual output around an unchanged trend for potential output. The analysis in this chapter suggests that both actual and potential output move together with the commodity terms of trade but that actual output commoves twice as strongly as potential output. The weak commodity price outlook is estimated to subtract almost 1 percentage point annually from the average rate of economic growth in commodity exporters over 2015–17 as compared with 2012–14. In exporters of energy commodities, the drag is estimated to be larger: about 2¼ percentage points on average over the same period. The projected drag on the growth of potential output is about one-third of that for actual output.
    • Октябрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2015
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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.
    • 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
    • Июнь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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      Eurostat Dataset Id:educ_thpar 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
    • Сентябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 02 декабря, 2015
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      Eurostat Dataset Id:educ_ipart 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
    • Октябрь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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      Eurostat Dataset Id:educ_ipart_s 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
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 28 августа, 2015
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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. Click to collapse Aggregation and consolidation OECD: 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. Click to collapse Transformations In 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.
    • 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.
    • 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.
    • Апрель 2015
      Источник: University of Groningen
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2015
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      Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2013) PWT version 8.1 is a database with information on relative levels of income, output, inputs and productivity, covering 167 countries between 1950 and 2011.
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 08 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics
    • Март 2016
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 31 марта, 2016
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      1. Media include Radio, TV and Newspapers2. Total number of domestic Radio and TV channels, by technical penetration3. Print media covers newspaper-public and Private by ownership
    • Июнь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Август 2015
      Источник: Political Terror Scale
      Загружен: Knoema
      Дата обращения к источнику: 27 ноября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 мая, 2016
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      National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information on the transition from ESA 95 to ESA 2010 is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <
    • Октябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • Июнь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Июль 2013
      Источник: United Nations Department of Economic and Social Affairs
      Загружен: Knoema
      Дата обращения к источнику: 29 декабря, 2014
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    • Март 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2015
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    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      These summary metadata refer to the first results on the main demographic developments in the year of reference.  The first results on the main demographic developments in the year of reference (T) contain the total population figure on 31 December of year T (further published by Eurostat as Population on 1 Janaury of year T+1), and total births and total deaths during year. While submitting this data is a legal requirement from EU Member States (EU Regulation No 1260/2013 on European Demographic Statistics, which entered into force on 1 January 2014), countries submit on voluntary basis also data on immigration and emigration that occurred during the course of the year (T). Eurostat's data collection on the above figures is called DEMOBAL and it is carried out in June of each year. Eurostat publishes these first demographic estimates in July of each year in the online database, in the table Demographic balance and crude rates (demo_gind). These first demographic estimates may either be confirmed or updated by the Eurostat demographic data collection taking place in December each year (called Unidemo), whereby countries submit detailed breakdowns (e.g. by age and sex) of their yearly population data, including data on migration, both at national and at regional level. The online table Demographic balance and crude rates (demo-gind) will be accordingly updated. Moreover, this table always includes the latest updates on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Eurostat database (Demography domain and Migration, e.g. in the Population by citizenship and by country of birth table) may be transmitted to Eurostat at a subsequent date. Please note that the time series before 2013 available in the online table Demographic balance and crude rates (demo-gind) were collected by Eurostat from the national statistical offices in the past, on voluntary basis. The individual metadata files reported by the countries are also attached.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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      The regional demographic statistics provides annual data on population, vital events (live births and deaths), total and land areas of the regions and demographic indicators for regions and statistical regions at NUTS-2 and NUTS-3 levels for 35 countries: each EU-28 Member State, Candidate and EFTA countries. The completeness of the tables depends on the availability of data received from the responsible national statistical institutes (NSIs).  The label of each table indicates the highest NUTS level for which data are available; for the upper NUTS levels data are included as well. Starting with March 2013, demographic statistics at regional level reflect the NUTS-2010 classification and the new statistical regions for Croatia. Most of the countries affected by the NUTS-2010 changes sent to Eurostat back time series for the new regional breakdown. As a general approach, the regions with no data available are not listed in the tables. Until 2012 as reference year, regional demographic data collection had deadline 15 December. For each reporting year T the data breakdown for regions at NUTS-2 and NUTS-3 levels was as follows : NUTS-2 level - high level of data breakdown:Population by sex and single year of age at 1st January: years T, T-1Live births by single year of age and year of birth of the mother: year T-1 Deaths by sex and single years of age and year of birth: year T-1  NUTS-3 level - low level of data breakdown:Surface area in km2 at 1st January (total area including inland waters and land area): year TPopulation by sex and broad age groups at 1st January, namely for 0-14 (0 up to 14 years), 15-64 (15 up to 64 years) and 65+ (persons of 65 years and older): years T, T-1Live births and deaths (only total number of the demographic events): year T-1  Tables were updated mainly during March of the next year (T+1), but also along the year whenever revised data are sent by the official data providers. Demographic statistics and indicators at regional level are computed by Eurostat using a harmonised methodology and common concepts for all regions of all countries, namely:population density;demographic balance and crude rates (population change, natural change, net migration including statistical adjustments, crude birth rate, crude death rate, crude rate of population change, crude rate of natural change, crude rate of net migration (including statistical adjustments));age-specific-fertility rates and Total Fertility Rates;life tables that include age-specific-mortality-rates and life expectancy at given exact age;infant mortality and crude rate of infant mortality. Based on the 2011 census results the following countries sent to Eurostat revised data at regional level covering different time periods, as detailed:Bulgaria (BG) - population data 2002-2011;Czech Republic (CZ) - population data 2001-2010;Estonia (EE) - population data 2000-2011;Ireland (IE) - population and vital events data 2007-2011;Greece (EL) - population data 2001-2011;Spain (ES) - population data 2002-2012;Croatia (HR) - population data 2002-2011;Italy (IT) - population and vital events data 2001-2011;Latvia (LV) - population data 2001-2010; live births data 2000-2011;Lithuania (LT)- population data 2002-2010; live births data 2001-2011;Malta (MT) - population and vital events data 2006-2011;Austria (AT) - population data 2008-2011;Portugal (PT) - population data 1992-2011; vital events data 1991-2010;Romania (RO) - population data year 2012; at national level the population data were revised for the time period 2002-2012;Slovakia (SK) - population data 2002-2012;United Kingdom (UK) - population data 2002-2013; vital events data 2000-2012; Starting with 2013 as reference year, the regional demographic data have an increased data breakdown for NUTS-3 regions subsequent to entering into force of the Regulation (EU) 1260/2013 on demographic statistics and Regulation (EU) No 205/2014, while at NUTS-2 level the data have the same high level of breakdown.  The new data breakdown at NUTS-3 level is available as follows:Population by sex and five-year age group;Live births by five-year age group of the mothers;Deaths by sex and five-year age groups; At national level a larger number of demographic indicators are computed, as various and more detailed demographic data are collected only at this level.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      20.1. Source data
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 апреля, 2016
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    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 апреля, 2016
      Выбрать
      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Январь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 14 апреля, 2016
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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.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
      Выбрать
      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 14 мая, 2016
      Выбрать
      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 24 апреля, 2016
      Выбрать
      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 09 марта, 2016
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    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 февраля, 2016
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    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 08 марта, 2016
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    • Март 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 марта, 2016
      Выбрать
      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.
    • Октябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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    • 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).
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 мая, 2016
      Выбрать
      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • Декабрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 24 февраля, 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
    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Май 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Октябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • Декабрь 2015
      Источник: International Telecommunication Union
      Загружен: Knoema
      Дата обращения к источнику: 18 января, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      This dataset covers the indicator for monitoring progress towards energy efficiency targets of Europe 2020 strategy implemented by Directive 2012/27/EU on energy efficiency. Annual data collection cover in principle the 28 Member States of the European Union. Time series starts in year 1990.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      Any kind of extraction of energy products from natural sources to a usable form is called primary production. Primary production takes place when the natural sources are exploited, for example in coal mines, crude oil fields, hydro power plants or fabrication of biofuels. Transformation of energy from one form to another, like electricity or heat generation in thermal power plants or coke production in coke ovens is not primary production.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      Primary production of biomass, hydropower, geothermal energy, wind and solar energy are included in renewable energies.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Октябрь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 ноября, 2015
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      Private transactions are those undertaken by firms and individuals resident in the reporting country.
    • Июль 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2015
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    • Июль 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 26 ноября, 2014
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      Privatization Database provides information on privatization transactions of at least US$1 million in developing countries from 2000 to 2008.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 14 мая, 2016
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      This indicator covers the carcass weight of bovine animals (calves, bullocks, bulls, heifers and cows) slaughtered in slaughterhouses and on the farm, whose meat is declared fit for human consumption.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      This indicator expresses the total carcass weight of pigs slaughtered in slaughterhouses and on the farm, whose meat is declared fit for human consumption.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      Total carcass weight of poultry slaughtered whose meat is declared fit for human consumption. The following poultry is included: hens, chicken, ducks, turkey, guinea fowls, geese. This indicator covers mainly the production of gallinaceae including broilers.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 мая, 2016
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      This indicator covers the carcass weight of sheep, including lambs, and goats slaughtered in slaughterhouses or elsewhere whose meat is declared fit for human consumption.
    • Декабрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 02 марта, 2016
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      The Agricultural Production domain covers: Quantity produced, Producer price, Value at farmgate, Area harvested, Yield per hectare.
    • Май 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 15 июня, 2015
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      The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • 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)
    • Апрель 2012
      Источник: Actionable Governance Indicators Data Portal
      Загружен: Knoema
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      The Public Investment Management index captures different ex ante and ex post dimensions of various stages of the investment process. It is a composite index of the efficiency of the public investment management process for 71 countries. It records the quality and efficiency of the investment process across four consecutive stages: project appraisal, selection, implementation and evaluation. The index allows for benchmarking against the performance of different country groups and across regions, and provides a new dataset that could be utilized for cross-country analysis.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 февраля, 2016
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      Eurostat Dataset Id:educ_iste 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
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      The pupil-teacher ratio is calculated by dividing the number of full-time equivalent pupils by the number of full-time equivalent teachers teaching at ISCED level 1. Only teachers in service (including special education teachers) are taken into account. The pupil-teacher ratio should not be confused with average class size as it does not take into account special cases, like the small size of groups of special needs pupils or specialised/minority subject areas, or the difference between the number of hours of teaching provided by teachers and the number of hours of instruction prescribed for pupils for example in the case a teacher is working in a shift system.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      This table includes the total number of persons who are enrolled in the regular education system in each country. It covers all levels of education from primary education to postgraduate studies (excluding pre-primary education). It corresponds to the target population for education policy.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      This indicator provides information on the percentage of boys and girls in upper secondary education who are enrolled in the vocational stream. It is indicative in the importance of initial vocational education and training in a country, taking into account also the gender dimension.
    • 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:
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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      Purchasing power parities (PPPs) are indicators of price level differences across countries. PPPs tell us how many currency units a given quantity of goods and services costs in different countries. PPPs can thus be used as currency conversion rates to convert expenditures expressed in national currencies into an artificial common currency (the Purchasing Power Standard, PPS), eliminating the effect of price level differences across countries. The main use of PPPs is to convert national accounts aggregates, like the Gross Domestic Product (GDP) of different countries, into comparable volume aggregates. Applying nominal exchange rates in this process would overestimate the GDP of countries with high price levels relative to countries with low price levels. The use of PPPs ensures that the GDP of all countries is valued at a uniform price level and thus reflects only differences in the actual volume of the economy. PPPs are also applied in analyses of relative price levels across countries. For this purpose, the PPPs are divided by the current nominal exchange rate to obtain a price level index (PLI) which expresses the price level of a given country relative to another, or relative to a group of countries like the EU28. The production of PPPs is a multilateral exercise involving the National Statistical Institutes of the participating countries, Eurostat and the OECD. Indicators in Eurostat's dissemination database The indicators published in the price domain on Eurostat's website are the following: Purchasing power parities (PPPs) scaled to the sum of expenditures of the EU Member States expressed in euro. This means that the PPP of one particular country indicates how many units of national currency one would need in that country in order to maintain the purchasing power of one euro in the EUPrice level indices (PLIs) as defined aboveNominal expenditure in national currency, as extracted from each country's national accountsNominal expenditure as percentage of GDPNominal expenditure in euroNominal expenditure per inhabitant in euroReal expenditure, defined as nominal expenditure divided by the PPPReal expenditure per inhabitantVolume indices of real expenditure per inhabitantThe price convergence indicator, defined as the coefficient of variation of the PLIs of household final consumption expenditure (HFCE). It provides an estimate of the price convergence within a group of countries. For example, if the price convergence indicator for EU28 decreases over time, the national price levels in the Member States are converging. In addition, PPPs and real expenditures are available from the national accounts domain of the database. For further details, cf. 17.1.
  • Q
    • Январь 2016
      Источник: University of Gothenburg
      Загружен: Knoema
      Дата обращения к источнику: 02 февраля, 2016
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      It has been one year since we last launched an updated version of the QoG Standard dataset. We have made some changes to the datasets, the method used for updating it, and to the actual codebook, but if you have used the datasets before they will probably feel familiar. The codebook is now created automatically on the basis of meta-data that we extract from the QoG-Datasets. On this basis, we run mata-code in Stata and create the Latex-code, which we compile to the PDF that you can download. Most importantly though is the fact that we in the current version not only have updated old data sources but we have also include many new ones as well. This means that the new QoG Standard approximately includes over 2000 variables, which is a lot more compared to older versions. For this reason, we have also abandoned the old heuristic in dividing the variables into the three categories of “what it is”, “how to get it”, and “what you get”. Instead the variables in the current version are divided into sixteen thematic categories such as Quality of Government, Economy, Media, Environment, and Political System etc. You will find more information about this under the section of Variable Categories in the Codebook. We hope that this new division will facilitate your search for variables. Since the launch of the QoG Standard Dataset it has received the Lijphart, Przeworski, Verba Award for Best Dataset by the APSA Comparative Politics Section in 2009. In 2013, the QoG Standard Dataset had 18,000 page views.
    • Апрель 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 17 мая, 2016
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      The World Bank launched the new Quarterly External Debt Statistics (QEDS) GDDS 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 GDDS database provides external debt data, starting from 2002Q4, for an extension of countries that participate in the IMF's General Data Dissemination System (GDDS).
    • Январь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 02 февраля, 2016
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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.
  • R
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      20.1. Source data
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Август 2012
      Источник: Multiple Sources
      Загружен: Carpe Facto
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      Spread of religions across the World, by country
    • Ноябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 02 декабря, 2015
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Апрель 2016
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 01 апреля, 2016
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    • Декабрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 20 января, 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.
    • Июль 2012
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 23 августа, 2012
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      UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labour, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labour, land and capital. Qualitative differences are important for each but are particularly difficult to summarise in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
    • Декабрь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 января, 2016
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      UN FAO Resource Statistics - Pesticides Consumption
    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 21 апреля, 2015
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      Resource Statistics - Pesticides Trade, 2015
    • Ноябрь 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 21 октября, 2014
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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.
    • Июнь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 января, 2014
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      Eurostat Dataset Id:apro_cpb_rice
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 02 декабря, 2015
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    • Август 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 03 сентября, 2015
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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
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Февраль 2014
      Источник: General Authority for Statistics, Kingdom of Saudi Arabia
      Загружен: Knoema
      Дата обращения к источнику: 14 февраля, 2014
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      Detail on Foreign Trade
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      School expectancy corresponds to the expected years of education over a lifetime and has been calculated adding the single-year enrolment rates for all ages. This type of estimate will be accurate if current patterns of enrolment continue in the future. Estimates are based on headcount data. To illustrate the meaning of school expectancy, let us take an example: school expectancy for the age of 10 would be one year if all 10-year-old students (in the year of the data collection) were enrolled. If only 50 % of 10-year-olds were enrolled, school expectancy for the age of 10 would be half a year.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      The indicator "Tertiary graduates in science and technology" includes new tertiary graduates in a calendar year from both public and private institutions completing graduate and post graduate studies compared to an age group that corresponds to the typical graduation age in most countries. It does not correspond to the number of graduates in these fields who are available in the labour market in this specific year. The levels and fields of education and training used follow the 1997 version of the International Standard Classification of Education (ISCED97) and the Eurostat Manual of fields of education and training (1999).
    • Ноябрь 2015
      Источник: Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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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
    • Ноябрь 2015
      Источник: Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 17 декабря, 2015
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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
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 мая, 2016
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      Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      This indicator presents the percentage of women among all students in tertiary education irrespective of field of education and among all students in the fields of mathematics, science and computing and in the fields of engineering, manufacturing and construction. The levels and fields of education and training used, follow the 1997 version of the International Standard Classification of Education (ISCED97) and the Eurostat manual of fields of education and training (1999).
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 мая, 2016
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 февраля, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Ноябрь 2015
      Источник: Stockholm International Peace Research Institute
      Загружен: Knoema
      Дата обращения к источнику: 30 марта, 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 (2011) 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: SIR
      Загружен: Knoema
      Дата обращения к источнику: 26 августа, 2015
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    • Апрель 2012
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 мая, 2016
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements.Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics <
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements.Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics <
    • Июнь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Апрель 2015
      Источник: Social Progress Imperative
      Загружен: Knoema
      Дата обращения к источнику: 03 сентября, 2015
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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.
    • Июнь 2015
      Источник: Actionable Governance Indicators Data Portal
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2015
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      Statistical Capacity
    • Ноябрь 2015
      Источник: World Steel Association
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2015
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      Worldsteel’s Steel Statistical Yearbook presents a cross-section of steel industry statistics. It contains comprehensive statistics from (1991 - 2014) 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.
    • Декабрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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      Labour cost statistics provide a comprehensive and detailed picture of the level, structure and short-term development of labour costs in the different sectors of economic activity in the European Union and certain other countries. All statistics are based on a harmonised definition of labour costs. Structural information on labour costs is collected through four-yearly Labour Cost Surveys (LCS), which provides details on the level and structure of labour cost data, hours worked and hours paid. LCS results are available for the reference years 2000, 2004, 2008 and 2012. All EU Member States together with Norway and Iceland (2004 onwards), Turkey and Macedonia (2008), as well as Serbia (2012) participated in the LCS. As far as available data and confidentiality rules permit, all variables and proportions are further broken down by enterprise size category, economic activity and region (for larger countries only). The data are collected by the National Statistical Institutes in most cases on the basis of stratified random samples of enterprises or local units, restricted in most countries to units with at least 10 employees. The stratification is based on economic activity, size category and region (where appropriate). Regional metadata is identical to the metadata provided for national data. Some countries also complement the survey results with administrative data. Monetary variables are expressed in EUR, national currencies (for non-euro-area countries) and Purchasing Power Standards (PPS). Labour costs are quoted in total per year, per month and per hour, as well as per capita and per full-time equivalents (FTE). Information on staff, hours worked and hours paid is quoted in aggregate and separately for full- and part-time employees.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 марта, 2016
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      This table includes the total number of persons who are enrolled in tertiary education (including university and non-university studies) in the regular education system in each country. It corresponds to the target population for policy in higher education. It provides an indication of the number of persons who had access to tertiary education and are expected to complete their studies, contributing to an increase of the educational attainment level of the population in the country in case they continue to live and work in the country at the end of their studies.
    • 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)
    • Июнь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 декабря, 2015
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      Eurostat Dataset Id:educ_enrl1tl 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
    • Август 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
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      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
    • Август 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
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      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
    • Ноябрь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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      Eurostat Dataset Id:educ_momo_dst Statistics on student/graduate mobility and foreigners in tertiary education collected through the UOE data collection on education and training systems. Data concerning mobility and foreigners are collected as follows:Number of mobile and foreign enrolled students by level of education, programme destination and field of education.Number of mobile and foreign enrolled students by level of education, programme destination, EU/non EU/unknown membership and gender.Number of foreign enrolled students by level of education, programme destination and country of citizenship.Number of mobile enrolled students by level of education, programme destination, and country of origin (usual residence and/or country of prior education).Number of mobile and foreign graduates by level of education, programme destination, cumulative duration and gender. Data by both country of origin and country of destination of the students are disseminated. The absolute figures along with indicators are published.
    • Сентябрь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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      Eurostat Dataset Id:educ_enrllng1 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
    • Сентябрь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
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      Eurostat Dataset Id:educ_enrllng2 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
    • Сентябрь 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
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      Eurostat Dataset Id:educ_enrl6 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
    • Февраль 2015
      Источник: World Life Expectancy
      Загружен: Knoema
      Дата обращения к источнику: 07 мая, 2015
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    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 февраля, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Eurostat's database covers 1) Production and trade in roundwood and wood products, including primary and secondary products 2) Economic data on forestry and logging, including employment data 3) Sustainable forest management, comprising forest resources (assets) and environmental data. The main types of primary forest products included in (1) are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. Secondary products include further processed wood and paper products. These products are presented in greater detail; definitions are available. All of the data are compiled from the Joint Forest Sector Questionnaire (JFSQ), except for table (e), which is directly extracted from Eurostat's international trade database COMEXT (HS/CN Chapter 44). The tables in (1) cover details of the following topics: - Roundwood removals and production by type of wood and assortment (a) - Roundwood production by type of ownership (b) - Production and trade in roundwood, fuelwood and other basic products (c) - Trade in industrial roundwood by assortment and species (d) - Tropical wood imports to the EU from Chapter 44 of the Harmonised System (e) - Production and trade in sawnwood, panels and other primary products (f) - Sawnwood trade by species (g) - Production and trade in pulp and paper & paperboard (h) - Trade in secondary wood and paper products (i) Data in (2) include the output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging.  The data are in current basic prices and are compatible with National Accounts. They are collected as part of Intergrated environmental and economic accounting for forests (IEEAF), which also covers labour input in annual work units (AWU).  Under (2), two separate tables cover the number of employees of forestry and logging, the manufacture of wood and products of wood and cork, and the manufacture of paper and paper products, as estimated from the Labour Force Survey results. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. More detailed information on wood products and accounting, including definitions and questionnaires, can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.  Data in (3) are not collected by Eurostat, but by the FAO, UNECE, Forest Euope, the European Commission's departments for Environment and the Joint Research Centre. They include forest area, wood volume, defoliation on sample plots, fires and areas with protective functions.
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 февраля, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 февраля, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 февраля, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 февраля, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 февраля, 2016
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      Annual data on quantities for crude oil, oil products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels,  renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final energy consumption by sector and fuel type. Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. Annual data collection cover in principle the EU Member States, EFTA, EU candidate countries, and potential candidate countries. Time series starts mostly in year 1990. All data are presented in the form of energy balances.
    • Май 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 10 мая, 2016
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    • 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.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
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      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2016
      Выбрать
      The figures on crime and criminal justice are collected through a joint Eurostat-UNODC data collection. This new joint data collection replaces earlier series published by Eurostat and refers to the period. It is available at country level for European Union Member States, EFTA countries, EU Candidate countries, and EU Potential Candidates.   Data on offences recorded by the police –  intentional homicide, assault, rape, other sexual assault, kidnapping,  theft, motor vehicle theft, burglary/breaking and entering, domestic burglary/housebreaking, drug trafficking. Data on intentional homicide are also available by largest cities in these countries. Number of Victims of intentional homicide by age categories (0-14; 15-29; 30-44; 45-59; >60) and gender. Suspects, Convicted and Persons Held in Prison by age (adult/juvenile) and gender. Suspects and Persons Held in Prisons for the offences of Intentional Homicide, Rape and Other Sexual Assault by gender. Criminal Justice Personnel – Police, Professional Judges and Magistrates, Prison Staff by gender. Court Input / Output Statistics – Persons brought before the courts, persons convicted, persons acquitted. Prisons - Prison Capacity.   Data for the United Kingdom (England & Wales, Scotland and Northern Ireland) appears separately owing to the existence of three separate jurisdictions. The data is reported by 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.   Historical regional data, based on a different earlier Eurostat data collection covering 2008, 2009 and 2010, are available in crim_gen_reg (in crim_h) on domestic burglary, homicide, robbery and theft of a motor vehicle.
    • 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.
  • T
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      Eurostat Dataset Id:spr_exp_fto Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categoriesof pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functionsof the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 апреля, 2016
      Выбрать
      Eurostat Dataset Id:spr_exp_fdi Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categoriesof pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functionsof the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 апреля, 2016
      Выбрать
      Eurostat Dataset Id:spr_exp_ffa Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categoriesof pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functionsof the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 апреля, 2016
      Выбрать
      Eurostat Dataset Id:spr_exp_fho Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categoriesof pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functionsof the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 мая, 2016
      Выбрать
      Eurostat Dataset Id:spr_exp_fol Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categoriesof pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functionsof the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 апреля, 2016
      Выбрать
      Eurostat Dataset Id:spr_exp_fsi Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categoriesof pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functionsof the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 апреля, 2016
      Выбрать
      Eurostat Dataset Id:spr_exp_fex Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categoriesof pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functionsof the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 апреля, 2016
      Выбрать
      Eurostat Dataset Id:spr_exp_fun Data on expenditure and receipts of social protection, on net social protection benefits as well as on pension beneficiaries contained in the ESSPROS domain are drawn up according to the ESSPROS (European System of integrated Social Protection Statistics) domain. Detailed information on the ESSPROS 'Concepts and Definitions' is available in Section 3.4 below. The ESSPROS domain  In Eurostat database, ESSPROS domain, ESSPROS data on expenditure and receipts, data on net social protection benefits as well as data on Pension beneficiaries for the total of schemes are currently disseminated. The qualitative information is available in the dedicated section "Social protection" of the Eurostat website.   Data on expenditure and receipts correspond to two collections "EXPEND" (Social protection expenditure) and "RECEIPTS" (Social protection receipts). The collection "EXPEND" is composed by three groups: 1. expsum (Expenditure - Summary tables); it contains two summary tables:e sum Expenditure: main results. The data include the expenditure broken down in social benefits, administration cost and other expenditure. In addition, social benefits are classified by functions of social protection (see ESSPROS Manual-The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 110).e pens Pensions. The data include the social benefits relating to pensions (old age, disability, survivors and unemployment pensions). In addition the data are split between means-tested and non means-tested benefits. 2. expcur (Expenditure - Tables by functions and aggregated benefits); it contains five tables corresponding to different "currencies": national currencies (e nac), euros (e eur), Purchasing Power Standards (e pps), Purchasing Power Standards per head (e ppsh) and % of the GDP (e gdp). For each table data (social protection benefits) are published:according to the classification by function of social protection: eight functions (Sickness /Health care; Disability; Old age; Survivors; Family/children; Unemployment; Housing; Social exclusion not elsewhere classified) and the total of social benefits;according to the detailed classification of benefits by type - cash benefits and benefits in kind- and by characteristic -split between means-tested and non means-tested benefits-(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - §111 and following). 3. expfunc (Expenditure - Tables by benefits and currency); it contains nine tables corresponding to the eight different functions of social protection and one for the total of social benefits. In each table data are published according to the detailed classification of benefits by function,type and characteristic(see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part II). The collection "RECEIPTS"is composed by two groups: 1. recsum (Receipts - Summary tables); it contains two tables:r sumt Receipts by type. The data include the receipts of social protection broken down in the different types of receipts - social contributions, general government contributions and other receipts- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS),Part I - § 70 and following).r sums Receipts by sector of origin. The data include the receipts of social protection broken down by the different sectors of origin -corporations, general government, households, non-profit institutions serving households, rest of the world- (see ESSPROS Manual - The European System of integrated Social PROtection Statistics (ESSPROS), Part I - § 87 and following). 2. reccur (Receipts by different "currencies"); it contains three tables: national currencies (r nac), euros (r eur) and % of the GDP (r gdp). For each table data (receipts) are published:according to the classification by types of receipts;according to the classification by sectors of origin.   Data on net social protection benefits correspond to the table " spr_net_ben" (Net social protection benefits) in the collection "NET". Net social protection benefits are defined as the value of social protection benefits excluding taxes and social contributions paid by the benefits recipients. They are complemented by the value of “Fiscal benefits” provided in the form of tax breaks that would be defined as social protection benefits, if they were provided in cash. Tax breaks promoting the provision of social protection or promoting private insurance plans are excluded. The objective of the ESSPROS net social protection benefits (SPB) module is to show the real impact of social transfers on the income of beneficiaries .The net methodology adopted – available in the ESSPROS Manual - The European System of integrated Social PROtection Statistics (Appendix IV) - follows the “restricted approach” to measure net benefits, which means that it maintains the scope of the Core system and is limited to measuring the impact of the fiscal system on the value of gross (cash) benefits recorded there and it cannot take into account the value of fiscal benefits provided to people who do not receive such cash benefits. Full coverage of such fiscal benefits for social protection purposes is only provided under the “enlarged approach” to measuring net social protection benefits but the development of this approach is still on-going.    Data on pension beneficiaries correspond to the collection "PENS" that contains the table "spr_pns_ben" (Pension Beneficiaries at 31 December of each year). The data include the number of recipients of one or more periodic cash benefits under a social protection scheme falling within seven pension categories grouped into four basic functions. The seven categoriesof pensions in this module are:Disability pension;Early retirement benefit due to reduced capacity to work;Old-age pension;Anticipated old-age pension;Partial pension;Survivor's pension;Early retirement benefit due to labour market reasons. The four functionsof the module are:Disability (grouping the first two categories of pensions above);Old age (grouping the next three);Survivors (the sixth category);Unemployment (the last category). The data, available by gender for the total of schemes, are expressed in "units".
    • Апрель 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
      Выбрать
      Eurostat Dataset Id:educ_pers1d 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
    • Июнь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2015
      Выбрать
      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
    • Июнь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
      Выбрать
      Eurostat Dataset Id:educ_thpertch 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
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2015
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    • Июнь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
      Выбрать
      Eurostat Dataset Id:educ_iteach 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
    • Сентябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 декабря, 2015
      Выбрать
      Eurostat Dataset Id:educ_itertc 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
    • Ноябрь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2015
      Выбрать
      Eurostat Dataset Id:educ_itertp 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
    • Июнь 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 декабря, 2015
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      Eurostat Dataset Id:educ_enrl5 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
    • Июнь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2015
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    • 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
      Загружен: Knoema
      Дата обращения к источнику: 07 декабря, 2015
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    • Июль 2012
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 16 ноября, 2012
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      The Exporter Dynamics Database is the first database providing measures of exporter characteristics and dynamics in 45 countries across all geographic regions and income levels. The Database contains close to 100 measures covering the basic characteristics of exporters, their distribution by size, the diversification in their products and markets, their dynamics in terms of entry, exit and survival, and the average unit prices of the goods they trade. The Exporter Dynamics Database Country-Year-Product HS4 provides these measures at the exporting country-year-HS 4-digit product level (based on a consolidated HS 4-digit classification). 
    • Июль 2012
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 26 ноября, 2012
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      The Exporter Dynamics Database is the first database providing measures of exporter characteristics and dynamics in 45 countries across all geographic regions and income levels. The Database contains close to 100 measures covering the basic characteristics of exporters, their distribution by size, the diversification in their products and markets, their dynamics in terms of entry, exit and survival, and the average unit prices of the goods they trade. The Exporter Dynamics Database Country-Year-Product HS6 provides these measures at the exporting country-year-HS 6-digit product level (based on a consolidated HS 6-digit classification).
    • Сентябрь 2015
      Источник: World Economic Forum
      Загружен: Knoema
      Дата обращения к источнику: 07 октября, 2015
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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
    • Апрель 2014
      Источник: World Economic Forum
      Загружен: Knoema
      Дата обращения к источнику: 22 апреля, 2014
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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) The transport and communications 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 nine in all. These are: 1) Domestic and foreign market access; 2) Efficiency of customs administration; 3) Efficiency of import-export procedures; 4) Transparency of border administration; 5) Availability and quality of transport infrastructure; 6) Availability and quality of transport services; 7) Availability and use of ICTs; 8) Regulatory environment; 9) Physical security.
    • Июнь 2015
      Источник: Oxford Poverty & Human Development Initiative
      Загружен: Knoema
      Дата обращения к источнику: 13 августа, 2015
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      The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards. The MPI assesses poverty at the individual level. If someone is deprived in a third or more of ten (weighted) indicators (see left), the global index identifies them as ‘MPI poor’, and the extent – or intensity – of their poverty is measured by the number of deprivations they are experiencing. The MPI can be used to create a comprehensive picture of people living in poverty, and permits comparisons both across countries, regions and the world and within countries by ethnic group, urban/rural location, as well as other key household and community characteristics. This makes it invaluable as an analytical tool to identify the most vulnerable people – the poorest among the poor, revealing poverty patterns within countries and over time, enabling policy makers to target resources and design policies more effectively. The global MPI was developed by OPHI with the UN Development Programme (UNDP) for inclusion in UNDP’s flagship Human Development Report in 2010. It has been published in the HDR ever since.
    • Май 2015
      Источник: World Economic Forum
      Загружен: Knoema
      Дата обращения к источнику: 18 мая, 2015
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    • 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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    • Декабрь 2010
      Источник: International Budget Partnership
      Загружен: Knoema
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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.
    • Ноябрь 2015
      Источник: Global Finance Magazine
      Загружен: Knoema
      Дата обращения к источнику: 21 марта, 2016
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    • Июнь 2015
      Источник: World Justice Project
      Загружен: Knoema
      Дата обращения к источнику: 08 июля, 2015
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      The WJP Rule of Law Index® is an innovative quantitative assessment tool designed by the World Justice Project offering a detailed and comprehensive picture of the extent to which countries adhere to the rule of law in practice. It provides original data regarding a variety of dimensions of the rule of law, enabling the assessment of a nation’s adherence to the rule of law in practice, identify a nation’s strengths and weaknesses in comparison to similarly situated countries, and track changes over time. The dataset presents the factor and sub-factor scores for the 99 countries and one jurisdiction included in the 2013-2014 administration of the Index, where 1 signifies the highest score and 0 signifies the lowest score. Note: The WJP Rule of Law Index 2012 does not include scores for "Factor 9: Informal Justice" or the following or sub-factor 1.1 "Government powers are defined in the fundamental law".
    • Январь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2015
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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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    • 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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    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 15 октября, 2015
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    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 15 октября, 2015
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    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 15 октября, 2015
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    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 15 октября, 2015
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    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      20.1. Source data
    • Ноябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 21 декабря, 2015
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    • Декабрь 2011
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 20 января, 2014
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      Eurostat Dataset Id:fish_pr_inw09 Total production from capture fisheries and aquaculture  (excluding hatcheries and nurseries) production by species and major fishing area covered by the catch regulations for EU. Total production is the sum of the total catches and aquaculture (excluding hatcheries and nurseries) production.  The concepts, definitions and classifications used in this database are those developed by the Coordinating Working Party on Fishery Statistics (CWP) and published in the "Handbook of Fishery Statistical Standards". This database is a combination of the databases on catch statistics and on aquaculture production. The metadata files on these databases should be consulted for further information on the concepts, definitions and classifications used in this database.  These concepts, definitions and classifications have been in force since the late 1950's and are applied uniformly worldwide by the CWP and by the national authorities reporting to its member organisations. Therefore, though the quality of the data varies from country to country (being in many cases a function of the general characteristics of the national fishing industry), there is a high degree of comparability between countries and over time. The data are reported in the live weight equivalent of the landings (for the catch component) and of the products (for the aquaculture production component).
    • Декабрь 2011
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 17 января, 2014
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      Eurostat Dataset Id:fish_pr_atl37 Total production from capture fisheries and aquaculture  (excluding hatcheries and nurseries) production by species and major fishing area covered by the catch regulations for EU. Total production is the sum of the total catches and aquaculture (excluding hatcheries and nurseries) production.  The concepts, definitions and classifications used in this database are those developed by the Coordinating Working Party on Fishery Statistics (CWP) and published in the "Handbook of Fishery Statistical Standards". This database is a combination of the databases on catch statistics and on aquaculture production. The metadata files on these databases should be consulted for further information on the concepts, definitions and classifications used in this database.  These concepts, definitions and classifications have been in force since the late 1950's and are applied uniformly worldwide by the CWP and by the national authorities reporting to its member organisations. Therefore, though the quality of the data varies from country to country (being in many cases a function of the general characteristics of the national fishing industry), there is a high degree of comparability between countries and over time. The data are reported in the live weight equivalent of the landings (for the catch component) and of the products (for the aquaculture production component).
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 мая, 2016
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      Total gross electricity generation covers gross electricity generation in all types of power plants. The gross electricity generation at the plant level is defined as the electricity measured at the outlet of the main transformers, i.e. the consumption of electricity in the plant auxiliaries and in transformers are included.
    • 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.
    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 02 декабря, 2015
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    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 02 декабря, 2015
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    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 02 декабря, 2015
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    • Апрель 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 мая, 2016
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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.
    • Октябрь 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 30 октября, 2014
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      Estimates and forecasts on population: total population and urban population, expressed in thousands and as a percentage of total population, respectively.
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 марта, 2016
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      The focus of this domain is on enlargement countries, in other words the following country groups: candidate countries — Albania (AL), the former Yugoslav Republic of Macedonia (MK), Montenegro (ME), Iceland (IS), Serbia (RS) and Turkey (TR)potential candidates — Bosnia and Herzegovina (BA), as well as Kosovo (XK) (*) An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. (*) This designation is without prejudice to positions on status and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo declaration of independence.
    • 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
    • Ноябрь 2014
      Источник: TRACE International
      Загружен: Knoema
      Дата обращения к источнику: 14 ноября, 2014
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      The TRACE Matrix measures business bribery risk in all countries. 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. Developed in collaboration with RAND Corporation, the TRACE Matrix provides the business community with a powerful new tool for anti-bribery risk assessment.
    • 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 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 ноября, 2015
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    • Июнь 2015
      Источник: TransMonEE Database
      Загружен: Knoema
      Дата обращения к источнику: 04 сентября, 2015
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      TransMonEE Database, 1989-2014
    • Август 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 17 сентября, 2015
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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.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Сентябрь 2011
      Источник: International Transport Forum
      Загружен: Knoema
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      The International Transport Forum publication 'Trends in the Transport Sector' analyses global statistical data on passenger and freight movements for all modes. The statistics in the detailed tables refer to the last year for which comprehensive data is available. Data is mainly collected through a targeted survey. Data is available week 48 each year. The publication is published in May each year.
  • 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
    • Октябрь 2015
      Источник: Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 18 декабря, 2015
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      U.S. Direct Investment Abroad: Country and Industry Detail for Selected Items, 2014
    • Май 2016
      Источник: U.S. Department of the Treasury
      Загружен: Knoema
      Дата обращения к источнику: 20 мая, 2016
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      U.S. Financial Firms Liabilities: Data by Type, Country and Region
    • 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)
    • Май 2016
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 24 мая, 2016
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    • Февраль 2015
      Источник: United Nations Public Administration Country Studies
      Загружен: Knoema
      Дата обращения к источнику: 30 марта, 2015
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      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.
    • Май 2014
      Источник: United Nations Environment Programme
      Загружен: Knoema
      Дата обращения к источнику: 19 июня, 2014
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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.
    • 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.
    • Январь 2016
      Источник: United Nations Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2016
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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.
    • Июль 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 14 сентября, 2011
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      UNECE Economic indicators. Comparable data for 52 countries and 7 groups of countries.
    • Сентябрь 2010
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) forestry statistics
    • Ноябрь 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      Biological Diversity statistics from United Nations Economic Commission for Europe (UNECE)
    • Ноябрь 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      Forest Health and Vitality statistics from United Nations Economic Commission for Europe (UNECE)
    • Ноябрь 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      Forest resource statistics from United Nations Economic Commission for Europe (UNECE)
    • Ноябрь 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      Productive function statistics from United Nations Economic Commission for Europe (UNECE)
    • Декабрь 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      Protective Function statistics from United Nations Economic Commission for Europe (UNECE)
    • Ноябрь 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      Socio-Economic Function statistics from United Nations Economic Commission for Europe (UNECE)
    • Январь 2012
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 08 февраля, 2012
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Июль 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Май 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Май 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Май 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Май 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Май 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Май 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Май 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 15 сентября, 2011
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Май 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. It is the forum where the countries of western, central and eastern Europe, central Asia and North America – 56 countries in all – come together to forge the tools of their economic cooperation. That cooperation concerns such areas as economic cooperation and integration, energy, environment, human settlements, population, statistics, timber, trade, and transport.
    • Октябрь 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      Road Accidents by Country, Accident Type
    • Май 2011
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
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      The United Nations Economic Commission for Europe (UNECE) is one of the five regional commissions of the United Nations. Dataset contains statistics for employment by level of education, occupation and sex
    • Август 2015
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2015
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      Indicators of Regional education Survey,Global Education Digest - WEI and UOE countries - Organization of teachers’ instructional time, Global Education Digest - WEI and UOE countries - Distribution of teachers by age, Global Education Digest - WEI and UOE countries - Teachers’ average annual salaries, Global Education Digest - Special tables for WEI and UOE countries.Note : Source for OECD countries and OECD Partner countries: OECD, 2009.
    • Август 2014
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 01 сентября, 2014
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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.
    • 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.
    • Январь 2016
      Источник: United Nations Department of Economic and Social Affairs
      Загружен: Knoema
      Дата обращения к источнику: 21 января, 2016
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      This dataset contains short-term prospects for the global economy in 2016-2017   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.
    • Июнь 2010
      Источник: United Nations Office on Drugs and Crime
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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.
    • Июнь 2015
      Источник: United Nations Office on Drugs and Crime
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2015
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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.
    • Июнь 2015
      Источник: United Nations Office on Drugs and Crime
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2015
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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.
    • Июнь 2015
      Источник: United Nations Office on Drugs and Crime
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2015
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      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2015
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    • 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.
    • Сентябрь 2013
      Источник: U.S. Census Bureau
      Загружен: Knoema
      Дата обращения к источнику: 10 октября, 2014
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      US Stats Indicators, 2014
    • Июнь 2014
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 04 сентября, 2015
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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 2016
      Источник: U.S. Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 27 апреля, 2016
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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. Note that values are given for Marketing Years, e.g. 2016 corresponds to 2015/2016 marketing year, 2015 refers to 2014/2015 marketing year, etc.
  • V
    • Август 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 августа, 2014
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      This table provides information on trade indices of value, volume, and unit value which are calculated at the level of individual countries, geographical regions, and economic groupings. See notes below for explanations of each indicator.
    • Январь 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 25 февраля, 2015
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      The table presents the latest quarterly statistics for total services exports and imports, in millions of dollars, for individual countries, for which the data are available. Quarterly figures for commercial services, which exclude government services, are included as a memo item. Also shown are the year-on-year percentage changes. The data presented are the result of the common work of World Trade Organization (WTO) and UNCTAD, and are published simultaneously by both organizations. (WTO statistics database)
    • 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.
    • Апрель 2016
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 19 апреля, 2016
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      This table shows the value of total merchandise exports and imports by individual country, geographical region, economic grouping and trade group, expressed in millions of dollars and as a percentage of the world total.
    • Май 2016
      Источник: International Organization of Motor Vehicle Manufacturers
      Загружен: Knoema
      Дата обращения к источнику: 02 мая, 2016
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    • Апрель 2016
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 мая, 2016
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  • W
    • Май 2012
      Источник: International Labour Organization
      Загружен: Knoema
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      Wages and Employment
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 09 апреля, 2016
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    • 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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    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
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      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      20.1. Source data
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
      Выбрать
      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Февраль 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 февраля, 2016
      Выбрать
      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 мая, 2016
      Выбрать
      Yearly data on freshwater resources, water abstraction and use, wastewater treatment (connection rates of resident population to wastewater treatment and treatment capacities of wastewater treatment plants), sewage sludge production and disposal, generation and discharge of wastewater collected biennially by means of the OECD/Eurostat Joint Questionnaire - Inland Waters. Data aggregation: national territories.
    • Апрель 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 15 июля, 2015
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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.
    • Июнь 2015
      Источник: World Economic Forum
      Загружен: Knoema
      Дата обращения к источнику: 24 июня, 2015
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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.
    • 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.
    • Декабрь 2015
      Источник: World Health Organization
      Загружен: Knoema
      Дата обращения к источнику: 19 апреля, 2016
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      The World Malaria Report 2015 summarizes information received from malaria-endemic countries and other sources, and updates the analyses presented in the 2014 report.  The World Malaria Report is WHO’s flagship malaria publication, released each year in December. It assesses global and regional malaria trends, highlights progress towards global targets, and describes opportunities and challenges in controlling and eliminating the disease. Most of the data presented in this report is for 2014.
    • 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".
    • Октябрь 2015
      Источник: Inter-Parliamentary Union
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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      Data from: all parliamentary structures, IPU: PARLINE database on national parliaments, 28 October 2015
    • Май 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2016
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • Февраль 2016
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 03 июня, 2016
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    • Март 2012
      Источник: World Bank
      Загружен: Knoema
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      The Investing Across Borders (IAB) indicators assess laws, regulations, and practices that affect foreign direct investment (FDI). The project’s methodology is based on that of the World Bank Group’s Doing Business project. The indicators highlight differences among countries in their regulatory treatment of FDI to identify good practices, facilitate learning opportunities, stimulate reforms, and provide annual cross-country data for research and analysis. The indicators are based on a survey of lawyers, professional service providers (mainly accounting and consulting firms), investment promotion institutions, chambers of commerce, law professors, and other expert respondents in the countries covered. For the IAB 2010 report, more than 2,350 respondents were surveyed in 87 economies (27 per country, on average) between April and December 2009. List of all respondents is available under the local partners.
    • Декабрь 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 06 декабря, 2013
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      World Bank Annual Report
    • 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 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 08 января, 2016
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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 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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      Doing Business 2016: Measuring Regulatory Quality and Efficiency, a World Bank Group flagship publication, is the 13th in a series of annual reports measuring the regulations that enhance business activity and those that constrain it. Doing Businesspresents quantitative indicators on business regulations and the protection of property rights that can be compared across 189 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 2016 are current as of June 1, 2015. The indicators are used to analyze economic outcomes and identify what reforms of business regulation have worked, where and why. This year’s Doing Business report continues a two-year process of introducing improvements in 8 of 10 Doing Business indicator sets—to complement the emphasis on the efficiency of regulation with a greater focus on its quality.  Main Findings  Doing Business 2016: Measuring Regulatory Quality and Efficiency finds that entrepreneurs in 122 economies saw improvements in their local regulatory framework last year. Between June 2014 and June 2015, the report, which measures 189 economies worldwide, documented 231 business reforms. Among reforms to reduce the complexity and cost of regulatory processes, those in the area of starting a business were the most common in 2014/15, as in the previous year. The next most common were reforms in the areas of paying taxes, getting electricity and registering property. Read about business reforms. Costa Rica, Uganda, Kenya, Cyprus, Mauritania, Uzbekistan, Kazakhstan, Jamaica, Senegal and Benin are among the economies that improved the most in 2014/2015 in areas tracked by Doing Business. Together, these 10 top improvers implemented 39 regulatory reforms making it easier to do business. Sub-Saharan Africa alone accounted for about 30% of the regulatory reforms making it easier to do business in 2014/15, followed closely by Europe and Central Asia. Members of the Organization for the Harmonization of Business Law in Africa were particularly active: 14 of the 17 economies implemented business regulation reforms in the past year—29 in total. Twenty-four of these reforms reduced the complexity and cost of regulatory processes, while the other five strengthened legal institutions. This year’s report adds indicators of quality to four indicator sets: registering property, dealing with construction permits, getting electricity and enforcing contracts. In addition, the trading across borders indicators have been revised to increase their relevance. The underlying case study now focuses on the top export product for each economy, on a very common manufactured product (auto parts) as its import product and on its largest trading partner for the export and import products. Seven case studies featured in the report: Five focus on legal and regulatory features covered by new or expanded indicators being introduced this year—in the areas of dealing with construction permits, getting electricity, registering property, trading across borders and enforcing contracts. The other two analyze other areas of interest in the historical data set. See all case studies.
    • Сентябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 октября, 2015
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      GenderStats is... A one stop source of information on gender at the country level. 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 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 25 февраля, 2016
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      Providing daily updates of global economic developments, with coverage of high income- as well as developing countries. Daily 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.
    • Декабрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 января, 2016
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      The World Bank's twice-yearly Global Economic Prospects examines growth trends for the global economy and how they affect developing countries. The reports include three-year forecasts for the global economy and long-term global scenarios which look ten years into the future.
    • Апрель 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 10 мая, 2016
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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; Nonfinancial public corporations and Financial public corporations and a table presenting the total public sector debt.
    • 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.
    • 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.
    • 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
    • Май 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 23 мая, 2016
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      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
    • Октябрь 2014
      Источник: International Federation of Red Cross and Red Crescent Societies
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2014
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      World Disasters Report, 2014
    • Февраль 2016
      Источник: World Energy Council
      Загружен: Knoema
      Дата обращения к источнику: 18 февраля, 2016
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      The Energy Trilemma Index, produced in partnership with global management consultancy Oliver Wyman, along with the Global Risk Centre of its parent Marsh & McLennan Companies, is a comparative ranking of 130 countries, benchmarking the sustainability of energy systems and awarding countries with a balance score, highlighting how well countries manage the trade-offs between the three trilemma goals. Together with its companion, the World Energy Trilemma report, the Index proves an effective tool to assist policymakers as they set climate and development goals, businesses as they set their medium and long-term strategies and investors. The Index also includes a ‘watch list’, highlighting countries that are expected to display significant changes in trilemma performance over the next few years, in light of recent policy changes, unscheduled incidents or undealt with structural issues. In 2015, South Africa and the US join Germany, Italy, Japan and the UK on negative watch, whilst the Philippines and Serbia are put on positive watch, alongside Mexico and the United Arab Emirates. Now in its fifth edition, the 2015 Index shows signs of progress for all dimensions of the energy trilemma, although it remains a struggle for most countries to develop a balanced approach, with only two countries out of 130 obtaining a ‘AAA’ balance score. While the transition towards sustainable, balanced energy systems is slowly occurring, progress can be sped up by creating robust and stable policy frameworks. In the run-up to the 21st Conference of the Parties (COP21), the Index supports the messages from the World Energy Council welcoming the bottom-up ‘Intended Nationally Determined Contributions’ process and emphasising the need for strong national energy policy frameworks based on a trilemma approach to effectively implement international objectives. The 2015 World Energy Trilemma: priority actions on climate change and how to balance the trilemma report  recommends a meaningful agreement supported by a focus on clearly identified action areas that enable and  accelerate the transition towards low-carbon energy systems.   1. The Energy Trilemma Index ranks countries in terms of their likely ability to provide sustainable energy policies through the three dimensions of the energy trilemma:a) Energy security: The effective management of primary energy supply from domestic and external sources, the reliability of energy infrastructure, and the ability of participating energy companies to meet current and future demand.b) Energy equity: The accessibility and affordability of energy supply across the population.c) Environmental sustainability: The achievement of supply and demand-side energy efficiencies and the development of energy supply from renewable and other low-carbon sources 2. The Index rank measures overall performance and the balance score highlights how well a country manages the trade-offs between the above mentioned three competing dimensions3. There is positive correlation between Score and Rank, as score is high rank will be high ( (0≤score≤10, Best rank is 1)
    • 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.
    • Январь 2016
      Источник: Sustainable Development Solutions Network
      Загружен: Knoema
      Дата обращения к источнику: 17 марта, 2016
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      The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, and the third on April 23, 2015. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness. They reflect a new worldwide demand for more attention to happiness as a criteria for government policy.The report is published by the Sustainable Development Solutions Network (SDSN). It is edited by Professor John F. Helliwell, of the University of British Columbia and the Canadian Institute for Advanced Research; Lord Richard Layard, Director of the Well-Being Programme at LSE’s Centre for Economic Performance; and Professor Jeffrey D. Sachs, Director of the Earth Institute at Columbia University, Director of the SDSN, and Special Advisor to UN Secretary General Ban ki-Moon.
    • Октябрь 2015
      Источник: World Health Organization
      Загружен: Knoema
      Дата обращения к источнику: 08 декабря, 2015
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    • 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 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 30 июля, 2015
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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.
    • Май 2016
      Источник: World Steel Association
      Загружен: Knoema
      Дата обращения к источнику: 02 июня, 2016
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      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.
    • Ноябрь 2015
      Источник: Ethnologue Languages of the World
      Загружен: Knoema
      Дата обращения к источнику: 02 декабря, 2015
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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 2015
      Источник: British Geological Survey
      Загружен: Knoema
      Дата обращения к источнику: 20 ноября, 2015
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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.
    • Август 2015
      Источник: International Organization of Motor Vehicle Manufacturers
      Загружен: Knoema
      Дата обращения к источнику: 07 сентября, 2015
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      World Motor Vehicle Sales by Country and Type, 2005-2014
    • Июль 2015
      Источник: United Nations Department of Economic and Social Affairs
      Загружен: Knoema
      Дата обращения к источнику: 07 августа, 2015
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      The 2015 Revision of World Population Prospects is the twenty-fourth round of official United Nations population estimates and projections that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat. The main results are presented in a series of Excel files displaying key demographic indicators for each development group, income group, major area, region and country for selected periods or dates within 1950-2100. A publication labelled Key findings and advance tables, which provide insights on the results of this latest revision, is also made available here.
    • 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: 25 марта, 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.
    • Май 2016
      Источник: World Steel Association
      Загружен: Knoema
      Дата обращения к источнику: 11 мая, 2016
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    • 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 2016
      Источник: World Travel and Tourism Council
      Загружен: Knoema
      Дата обращения к источнику: 28 марта, 2016
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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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    • Сентябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 06 октября, 2015
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      Worldwide Governance indicators reports aggregate and individual governance indicators for 215 economies over the period 1996–2013. 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.
    • Апрель 2016
      Источник: World Trade Organization
      Загружен: Knoema
      Дата обращения к источнику: 27 апреля, 2016
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      Note that Merchandise Exports data for Hong Kong, China covers re-exports only.
    • Июль 2015
      Источник: World Trade Organization
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2015
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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.
  • Y
    • Март 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
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  • Т
    • Май 2016
      Источник: Federal Customs Service of Russia
      Загружен: Knoema
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      Экспорт и импорт товаров по 2,4 и 6 значной номенклатуре ТН ВЭД по странам торговым партнерам РФ. * название единиц измерения для индикатора "Количество" доступно для 6 значных кодов ТН ВЭД напротив имени товарара при нажатии на знак метаданных "i".