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Азербайджан

  • Президент:Ilham Heydar oglu Aliyev
  • Премьер-министр:Artur Tahir oglu Rasizade
  • Столица:Baku (Baki, Baky)
  • Языки:Azerbaijani (Azeri) (official) 90.3%, Lezgi 2.2%, Russian 1.8%, Armenian 1.5%, other 3.3%, unspecified 1% (1999 census)
  • Правительство
  • Статистическое агентство
  • Население:9 537 823 (2014)
  • Площадь:82 658 (2014)
  • ВВП на душу населения:7 884 (2014)
  • ВВП, млрд. долл. США:75 (2014)
  • Индекс Джини:33,03 (2008)
  • Рейтинг Ease of Doing Business:80 (2015)
Все наборы данных:  2 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
  • 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.
    • Март 2013
      Источник: United Nations Office on Drugs and Crime
      Загружен: Knoema
      Дата обращения к источнику: 04 марта, 2013
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      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
  • 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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    • Август 2015
      Источник: The State Statistical Committee of the Republic of Azerbaijan
      Загружен: Knoema
      Дата обращения к источнику: 26 октября, 2015
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      Agriculture Statistics of Azerbaijan, 2014.
    • 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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    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2014
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      This dataset contains commitment data (since 2002) and disbursement data (since 2009) on aid in support of gender equality from the CRS database. In their reporting to the Development Assistance Committee (DAC) Creditor Reporting System (CRS), donors are requested to indicate for each activity whether or not it targets gender equality as one of its policy objectives. To qualify as “gender equality focussed,” an activity must explicitly promote gender equality and women’s empowerment. An activity can either target gender equality as its “principal objective” or as a “significant objective”. A “principal” score (2) is assigned if gender equality was an explicit objective of the activity and fundamental to its design - i.e. the activity would not have been undertaken without this objective. A “significant” score (1) is assigned if gender equality was an important, but secondary, objective of the activity - i.e. it was not the principal reason for undertaking the activity. A “not targeted” score (0) is assigned if, after being screened against the gender equality policy marker, an activity is not found to target gender equality. Activities assigned a “principal objective” score should not be considered better than activities assigned a “significant objective” score, as donors that mainstream gender equality - and thus integrate it into their projects across a range of sectors - are more likely to allocate the marker score “significant” to their aid activities. The gender equality marker allows an approximate quantification of aid flows that target gender equality as a policy objective. In marker data presentations the figures for principal and significant objectives should be shown separately and the sum referred to as the “estimate” or “upper bound” of gender equality-focussed aid. An activity can have more than one principal or significant objective. Therefore, total amounts targeting the different objectives should not be added-up to avoid double-counting. Policy markers seek information on the donor’s policy objectives which can be best assessed at the design stage of projects. This is why policy markers are applied to commitments. Policy marker data on a disbursement basis can also be compiled, but it is important to note that this does not mean the policy objectives of projects under implementation would have been re-assessed. Rather, the disbursements are linked to the qualitative information on the original commitment through project identifiers. Consequently, a project marked as gender equality focussed at the commitment stage will be flagged as gender equality focussed throughout its lifetime, unless the qualitative information was changed. Activity-level gender equality marker data that underlie the aggregate figures presented in this dataset are available for consultation and download: see “Export”, “Related files”.
    • Июнь 2013
      Источник: The 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).
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2013
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      Eurostat Dataset Id:migr_asyctz Data series on asylum applications contain statistical information based on Article 4 of the Council Regulation (EC) No 862/2007 with reference to: Asylum and new asylum applicants by age, sex and citizenshipPersons subject to applications pending at the end of reference period by age, sex and citizenshipApplications for asylum withdrawn by age, sex and citizenshipAsylum applicants considered to be unaccompanied minors by age, sex and citizenship Data is presented country by country and for groups of countries: the European Union (EU27) and the European Economic Area (EEA).Data has been rounded to the nearest 5.
    • Май 2015
      Источник: Eurostat
      Загружен: Kirill Kosenkov
      Дата обращения к источнику: 12 мая, 2015
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      Dataset contains statistical information about annual number of asylum applicants in the EU Member States by the citizenship (country of origin). These data are supplied to Eurostat by the national Ministries of Interior and related official agencies. Data is presented by country and for groups of countries: the European Union (EU28, EU27) and the European Free Trade Association (EFTA). Data has been rounded to the nearest 5 (Eurostat) 'Asylum applicant' means a person having submitted an application for international protection or having been included in such application as a family member during the reference period. 'Application for international protection' means an application for international protection as defined in Art.2(h) of Directive 2011/95/EU, i.e. a request made by a third-country national or a stateless person for protection from a Member State, who can be understood to seek refugee status or subsidiary protection status, and who does not explicitly request another kind of protection, outside the scope of this Directive, that can be applied for separately. This definition is intended to refer to all who apply for protection on an individual basis, irrespective of whether they lodge their application on arrival at the airport or land border, or from inside the country, and irrespective of whether they entered the territory legally (e.g. as a tourist) or illegally (see Art4.1 (a) of the Regulation).Applications submitted by persons who are subsequently found to be a subject of a Dublin procedure (Regulation (EU) No 604/2013) are included in the number of asylum applications.Persons who are transferred to another Member State in application of the Dublin Regulation are reported as asylum applicants also in the Menber State where they are transferred to.Within the same reference period every person being a subject of asylum application is counted only once, therefore repeat applications are not recorded if the first application has been lodged in the same reference period. However, such a repeat application will be recorded if lodged in a different reference month. It means that the aggregation of the monthly figures may overestimate the number of persons applying for international protection within the aggregated period (year).
  • B
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 09 ноября, 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.
    • Апрель 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 19 июня, 2015
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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
    • Апрель 2015
      Источник: UN Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 20 апреля, 2015
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      The dataset describes the Foreign trade statistics of bolivia from the year 1995 to 2014
    • Август 2014
      Источник: Knoema
      Загружен: Knoema
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    • Июнь 2015
      Источник: BP
      Загружен: Knoema
      Дата обращения к источнику: 16 июня, 2015
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      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the fi eld of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • Июнь 2015
      Источник: BP
      Загружен: Knoema
      Дата обращения к источнику: 12 июня, 2015
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      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • Февраль 2012
      Источник: Федеральная Служба Государственной Статистики Российской Федерации
      Загружен: Knoema
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      Внешняя торговля товарами Российской Федерации по странам партнерам, 1995-2011
  • C
    • Июль 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 октября, 2015
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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.
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 14 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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    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 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: UN 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.
    • Январь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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    • 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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    • Декабрь 2014
      Источник: Transparency International
      Загружен: Knoema
      Дата обращения к источнику: 04 декабря, 2014
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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.
    • Ноябрь 2012
      Источник: Freedom House
      Загружен: Knoema
      Дата обращения к источнику: 12 декабря, 2012
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      Countries at the Crossroads is an annual analysis of government performance in 70 strategically important countries worldwide that are at a critical crossroads in determining their political future. The in-depth comparative assessments and quantitative ratings – examining government accountability, civil liberties, rule of law, and anticorruption and transparency efforts – are intended to help international policymakers identify areas of progress, as well as to highlight areas of concern that could be addressed in diplomatic efforts and reform assistance.The Crossroads project has generated far-reaching interest since its inception in 2004. Increased attention to the relationship between competent governance and respect for civil and political rights means that scholars and policymakers require sophisticated tools to help place the performance of various governments in perspective. Crossroads helps ground this analysis by providing indispensable quantitative assessment that allows for comparison over time, as well as detailed narrative reports that provide real-world context.A new edition of Crossroads is published each year, with half the set of countries analyzed in odd years and the other half in even years. Crossroads reports are written and evaluated by some of the most prominent independent experts available for each country.
    • 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.
    • 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
    • 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.
    • Июль 2014
      Источник: The State Statistical Committee of the Republic of Azerbaijan
      Загружен: Knoema
      Дата обращения к источнику: 23 сентября, 2015
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      Crime Statistics of Azerbaijan, 2013
  • D
    • Декабрь 2013
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 сентября, 2014
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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.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 августа, 2014
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      Abstract Total Receipts, Net: in addition to Official Development Assistance, this heading includes in particular: other official bilateral transactions which are not concessional or which, even though they have concessional elements, are primarily trade facilitating in character (i.e., "Other Official Flows''); changes in bilateral long-term assets of the private non-monetary and monetary sectors, in particular guaranteed export credits, private direct investment, portfolio investment and, to the extent they are not covered in the preceding headings, loans by private banks. Flows from the multilateral sector which are not classified as concessional are also included here. Note on Slovenia: Slovenia became the 29th DAC member on 3 December 2013. Because its accession to the DAC was so late in the calendar year, the Secretariat was not able to include its data in the 2012 figures for DAC members published in December 2013. Therefore it still appears as a non-DAC donor in this release of the data. Figures for Slovenia will be incorporated in the DAC total as of reporting in 2014 on flows in 2013. For reference, in 2012, Slovenia’s ODA was USD 58 million, or 0.13 per cent of its gross national income.
    • 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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    • Февраль 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
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      Eurostat Dataset Id:demo_marstac 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).
    • Сентябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 ноября, 2015
      Выбрать
      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).
    • Август 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 ноября, 2015
      Выбрать
      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).
    • Август 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
      Выбрать
      Eurostat Dataset Id:demo_mmonth 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: The 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
    • Март 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2013
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      Eurostat Dataset Id:migr_asydctzy Data series on asylum applications contain statistical information based on Article 4 of the Council Regulation (EC) no 862/2007 with reference to: First instance decisions by age, sex and citizenshipFinal decisions by age, sex and citizenshipDecisions withdrawing status granted at first instance by type of status withdrawn and by citizenshipDecisions withdrawing status granted as final decisions by type of status withdrawn and by citizenshipResettled persons by age, sex and citizenship Data is presented country by country and for groups of countries: the European Union (EU27 and the European Economic Area (EEA).According to confidentiality policies, figures have been rounded to the nearest 5.
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 26 ноября, 2013
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      Eurostat Dataset Id:migr_asywitfsta Data series on asylum applications contain statistical information based on Article 4 of the Council Regulation (EC) no 862/2007 with reference to: First instance decisions by age, sex and citizenshipFinal decisions by age, sex and citizenshipDecisions withdrawing status granted at first instance by type of status withdrawn and by citizenshipDecisions withdrawing status granted as final decisions by type of status withdrawn and by citizenshipResettled persons by age, sex and citizenship Data is presented country by country and for groups of countries: the European Union (EU27 and the European Economic Area (EEA).According to confidentiality policies, figures have been rounded to the nearest 5.
    • 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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    • Март 2012
      Источник: Institute for Health Metrics and Evaluation (IHME)
      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.
    • Март 2015
      Источник: United Nations Conference on Trade and Development
      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.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 ноября, 2015
      Выбрать
      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
      Выбрать
      Divorce Indicators across countries
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 октября, 2015
      Выбрать
      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.
    • Декабрь 2008
      Источник: Institute for Health Metrics and Evaluation (IHME)
      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 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 сентября, 2014
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      There has been a growing interest in monitoring patterns of trade in services around the world, which is partly associated with ongoing trade negotiations and partly due to the increasing importance of services in OECD economies. It has been developed to supplement other OECD publications on trade in services to address the data needs of trade analysts. It is also an important part of OECD's programme to facilitate the implementation of the recommendations of the revised Manual on Statistics of International Trade in Services.The Task Force on Statistics of International Trade in services maintains a matrix summarizing the status of the trade in services data collection performed by International organizations. The table displays links to the databases as well as update timetables, availability of metadata, availability of bilateral data, and other important characteristics.
    • Сентябрь 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 30 сентября, 2015
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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.
    • Август 2014
      Источник: The State Statistical Committee of the Republic of Azerbaijan
      Загружен: Knoema
      Дата обращения к источнику: 29 октября, 2015
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      Education Statistics of Azerbaijan, 2014
    • Июнь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 12 августа, 2015
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    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 26 ноября, 2013
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      Eurostat Dataset Id:migr_emi2 This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available.The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied.Data are presented country by country and for groups of countries.The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes.For details on data sources used for compilation of statistics on immigration and emigration and for more country-specific data descriptions see Annexes attached.
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2013
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      Eurostat Dataset Id:migr_emi1ctz This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes.
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2013
      Выбрать
      Eurostat Dataset Id:migr_emi3nxt This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes.
    • 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
      Выбрать
    • 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
      Выбрать
    • 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
      Выбрать
    • Декабрь 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
      Выбрать
    • 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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    • Ноябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 ноября, 2015
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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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    • 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
    • Апрель 2012
      Источник: Ministry of Statistics and Programme Implementation of India
      Загружен: Knoema
      Дата обращения к источнику: 25 декабря, 2013
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      Source: Ministry of Petroleum & Natural Gas. Note: Annual changes and shares of total are calculated using million tonnes per annum figures.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_agmain The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_ecnabrk The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_ecnacoi The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_ecbop The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 мая, 2014
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      Eurostat Dataset Id:enpr_pseduc The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Сентябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 сентября, 2015
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      Eurostat Dataset Id:enpr_energy The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_ecexint The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_agfish The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_agfor The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_ecnagdp The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_ecgov The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_inisoc The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_etmain The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 мая, 2014
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      Eurostat Dataset Id:enpr_pslm The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 мая, 2014
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      Eurostat Dataset Id:enpr_psilc The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_ecmain The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_ecmny The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 12 мая, 2014
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      Eurostat Dataset Id:enpr_psdemo The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_ecprice The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_scienc The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_insts The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_siecr The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_siemp The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_sienv The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_sigeb The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_siinr The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2014
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      Eurostat Dataset Id:enpr_sisoc The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_ettot The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_intour The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_etsitc The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_etbal The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_etflow The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • Март 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 мая, 2014
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      Eurostat Dataset Id:enpr_transp The domain focuses on the Eastern European Neighbourhood Policy countries (ENP): Armenia (AM), Azerbaijan (AZ), Belarus (BY), Georgia (GE), Moldova (MD) and the Ukraine (UA). Data are provided for 200 to 300 indicators.
    • 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 Group
      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: Enterprise Surveys
      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: The 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.
    • Октябрь 2011
      Источник: UN 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.
    • Апрель 2014
      Источник: Environmental Performance Index
      Загружен: Knoema
      Дата обращения к источнику: 09 апреля, 2014
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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.
    • Сентябрь 2014
      Источник: The 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.
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2013
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      Eurostat Dataset Id:migr_resbc1 Residence permits data contain statistical information based on Article 6 of Council Regulation (CE) No 862 of 11 July 2007 with reference to: first permits granted to third-country nationals during the reference year, disaggregated by citizenship, reason for the permit being issued and by the length of validity of the permit; permits granted during the reference period on the occasion of person changing immigration status or reason to stay, disaggregated by citizenship, reason for the permit being issued and by the length of validity; permits valid at the end of the reference period, disaggregated by citizenship, reasons for the permit being issued and by the length of validity; number of long-term residents at the end of reference period. Statistics on EU Blue Cards contain information based on the Article 20 of the Council Directive 2009/50/EC of 25 May 2009 on: EU Blue Cards granted, renewed and withdrawn;Admitted family members of EU Blue Cards holders; EU Blue Cards holders and family members by Member State of previous residence
    • Май 2012
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2012
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      This dataset contains; EU direct investment flows, breakdown by partner country and economic activity (NACE Rev.2) (bop_fdi_flow_r2); EU direct investment income, breakdown by partner country and economic activity (NACE Rev.2) (bop_fdi_inc_r2). Notes: i) For the Flows, it represents ''Net''. ii) Eurostat Hierarchy: Economy and finance > Balance of payments - International transactions > European Union direct investments (bop_fdi).
    • Июнь 2012
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2012
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      Notes: Eurostat Hierarchy: Economy and finance > Balance of payments - International transactions (bop) > European Union direct investments (bop_fdi).
    • 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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    • Ноябрь 2015
      Источник: XE
      Загружен: Knoema
      Дата обращения к источнику: 16 ноября, 2015
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      This dataset contains the exchange rate of 1USD to their country local currency.
    • Октябрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
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      Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
    • Май 2015
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 мая, 2015
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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.
    • Июль 2012
      Источник: Knoema
      Загружен: Knoema
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      Source : United States Department of Agriculture; International Monetary Fund; UN Department of Economic and Social Affairs; Food and Agriculture Organization, The World Bank
    • Июль 2015
      Источник: United States Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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      Percent of household final consumption expenditures spent on food, alcoholic beverages, and tobacco that were consumed at home,. The data are computed by Birgit Meade (202-694-5159), ERS/USDA, EUROMONITOR data, June 2014.
    • Февраль 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 июня, 2015
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      Eurostat Dataset Id: nrg_136a
    • Апрель 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 июня, 2015
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      Eurostat Dataset Id:nrg_131a
    • Апрель 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 19 июня, 2015
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      Eurostat Dataset Id:nrg_135a
    • Апрель 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 мая, 2015
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      Eurostat dataset id:nrg_133a
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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      Eurostat Dataset Id:nrg_133m   Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not. The concept of the physical movement of flows applies. The monthly imports and exports data collections cover following energy commodities: solid fuels (hard coal only) oil and petroleum products gas electricity For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates.
    • Июнь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 06 июля, 2015
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      Dataset Id: nrg_132a Environment and energy > Energy > Energy statistics - exports (by country of destination) > Exports (by country of destination) - solid fuels - annual data
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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      Eurostat Dataset Id:nrg_132m Monthly imports and exports: Quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not. The concept of the physical movement of flows applies. In general imports are recorded by country of origin, exports by country of destination and covering the most importing energy commodities: solid fuels (hard coal only) oil and petroleum products gas electricity For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set. Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013). For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions. Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA candidate countries and potential candidate countries.
    • 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).
    • 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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    • Июль 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 сентября, 2013
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      Eurostat Dataset Id:ext_lt_mainmine 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: 30 октября, 2015
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      Note: Data represent values for time periods (1990-1992,1995-97,2000-02,2005-07, etc.) and is shown as data for the last year of time period(1992,1997,2002,2007, etc.).
    • 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 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 09 июня, 2015
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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.
    • Август 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: 09 сентября, 2015
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    • Январь 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 13 февраля, 2015
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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
    • Декабрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 марта, 2014
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      Eurostat Dataset Id:demo_find 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-1Based 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).
    • Ноябрь 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 ноября, 2014
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      This database of indicators of financial development and structure across countries and over time includes a range of indicators (31 indicators in total), starting from 1960, that measure the size, activity, and efficiency of financial intermediaries and markets. The compiled data permits the construction of financial structure indicators to measure whether, for example, a country's banks are larger, more active, and more efficient than its stock markets. These indicators can then be used to investigate the empirical link between the legal, regulatory, and policy environment and indicators of financial structure. They can also be used to analyze the implications of financial structure for economic growth.
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2015
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    • Февраль 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 ноября, 2013
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      Eurostat Dataset Id:demo_nsinrt 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-1Data 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 divorcesStatistics 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 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2013
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      Eurostat Dataset Id:migr_resfam Residence permits data contain statistical information based on Article 6 of Council Regulation (CE) No 862 of 11 July 2007 with reference to: first permits granted to third-country nationals during the reference year, disaggregated by citizenship, reason for the permit being issued and by the length of validity of the permit; permits granted during the reference period on the occasion of person changing immigration status or reason to stay, disaggregated by citizenship, reason for the permit being issued and by the length of validity; permits valid at the end of the reference period, disaggregated by citizenship, reasons for the permit being issued and by the length of validity; number of long-term residents at the end of reference period. Statistics on EU Blue Cards contain information based on the Article 20 of the Council Directive 2009/50/EC of 25 May 2009 on: EU Blue Cards granted, renewed and withdrawn;Admitted family members of EU Blue Cards holders; EU Blue Cards holders and family members by Member State of previous residence
    • Май 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2013
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      Eurostat Dataset Id:migr_resoth Residence permits data contain statistical information based on Article 6 of Council Regulation (CE) No 862 of 11 July 2007 with reference to: first permits granted to third-country nationals during the reference year, disaggregated by citizenship, reason for the permit being issued and by the length of validity of the permit; permits granted during the reference period on the occasion of person changing immigration status or reason to stay, disaggregated by citizenship, reason for the permit being issued and by the length of validity; permits valid at the end of the reference period, disaggregated by citizenship, reasons for the permit being issued and by the length of validity; number of long-term residents at the end of reference period. Statistics on EU Blue Cards contain information based on the Article 20 of the Council Directive 2009/50/EC of 25 May 2009 on: EU Blue Cards granted, renewed and withdrawn;Admitted family members of EU Blue Cards holders; EU Blue Cards holders and family members by Member State of previous residence
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2013
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      Eurostat Dataset Id:migr_resocc Residence permits data contain statistical information based on Article 6 of Council Regulation (CE) No 862 of 11 July 2007 with reference to: first permits granted to third-country nationals during the reference year, disaggregated by citizenship, reason for the permit being issued and by the length of validity of the permit; permits granted during the reference period on the occasion of person changing immigration status or reason to stay, disaggregated by citizenship, reason for the permit being issued and by the length of validity; permits valid at the end of the reference period, disaggregated by citizenship, reasons for the permit being issued and by the length of validity; number of long-term residents at the end of reference period. Statistics on EU Blue Cards contain information based on the Article 20 of the Council Directive 2009/50/EC of 25 May 2009 on: EU Blue Cards granted, renewed and withdrawn;Admitted family members of EU Blue Cards holders; EU Blue Cards holders and family members by Member State of previous residence
    • Февраль 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
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      Eurostat Dataset Id:demo_nsinagec 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-1Data 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 divorcesStatistics 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.
    • Апрель 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 04 мая, 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
    • 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.
    • 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)
    • Апрель 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 26 мая, 2014
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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
    • Июль 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 26 августа, 2015
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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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    • 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: The 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.
    • Февраль 2015
      Источник: Freedom House
      Загружен: Knoema
      Дата обращения к источнику: 18 февраля, 2015
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      Freedom in the World, Freedom House’s flagship publication, is the standard-setting comparative assessment of global political rights and civil liberties. Published annually since 1972, the survey ratings and narrative reports on 193 countries and 15 related and disputed territories are used by policymakers, the media, international corporations, civic activists, and human rights defenders to monitor trends in democracy and track improvements and setbacks in freedom worldwide.
    • Апрель 2012
      Источник: Public Accountability Mechanisms
      Загружен: Knoema
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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
  • G
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 октября, 2015
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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: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 26 октября, 2015
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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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    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 16 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.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2014
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      Official and Private Flows - Disbursements and Commitments. Aggregate data (no breakdown by recipient) on ODA, OOF, private and NGO data by donor, type of aid and flow. The data cover flows from all bilateral and multilateral donors except for Tables DAC1, DAC4, DAC5 and DAC7b which focus on flows from DAC member countries and the EU Institutions.
    • 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: EDGAR
      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.
    • Январь 2013
      Источник: EDGAR
      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.
    • Сентябрь 2015
      Источник: The 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: The 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)
    • Апрель 2015
      Источник: GFP
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2015
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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
    • Май 2015
      Источник: Economist Intelligence Unit
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2015
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      The Global Food Security Index 2015: An annual measure of the state of global food security, is the second edition of an Economist Intelligence Unit study, commissioned by DuPont.
    • Октябрь 2010
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 24 мая, 2011
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      The Global Forest Resources Assessment 2010 (FRA 2010) 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.
    • Октябрь 2010
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 24 апреля, 2011
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      The Global Forest Resources Assessment 2010 (FRA 2010) 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.
    • Октябрь 2011
      Источник: Food and Agriculture Organization
      Загружен: Knoema
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      The Global Forest Resources Assessment 2010 (FRA 2010) 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.
    • 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 2014
      Источник: International Food Policy Research Institute
      Загружен: Knoema
      Дата обращения к источнику: 20 мая, 2015
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      The Global Hunger Index (GHI) is designed to comprehensively measure and track hunger globally and by country and region. Calculated each year by the International Food Policy Research Institute (IFPRI), the GHI highlights successes and failures in hunger reduction and provides insights into the drivers of hunger. By raising awareness and understanding of regional and country differences in hunger, the GHI aims to trigger actions to reduce hunger. To reflect the multidimensional nature of hunger, the GHI combines three equally weighted indicators in one index number: Undernourishment: the proportion of undernourished as a percentage of the population (reflecting the share of the population with insufficient calorie intake); Child underweight: the proportion of children younger than the age of five who are underweight (low weight for age reflecting wasting, stunted growth, or both), which is one indicator of child undernutrition; and Child mortality: the mortality rate of children younger than the age of five (partially reflecting the fatal synergy of inadequate dietary intake and unhealthy environments). The GHI ranks countries on a 100-point scale. Zero is the best score (no hunger), and 100 is the worst, although neither of these extremes is reached in practice.
    • 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: GII
      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.
    • 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: Vision of Humanity
      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 2014
      Источник: Institute for Health Metrics and Evaluation (IHME)
      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
    • Февраль 2015
      Источник: Atkearney
      Загружен: Knoema
      Дата обращения к источнику: 02 марта, 2015
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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 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.
    • Май 2011
      Источник: Economist Intelligence Unit
      Загружен: Knoema
      Дата обращения к источнику: 07 января, 2015
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      The Global Talen Index Report: The Outlook to 2015
    • Октябрь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2015
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    • 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.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 28 августа, 2015
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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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    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 08 октября, 2015
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    • 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.
  • H
    • 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 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 07 июля, 2015
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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: The 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).
    • Август 2015
      Источник: The State Statistical Committee of the Republic of Azerbaijan
      Загружен: Knoema
      Дата обращения к источнику: 26 октября, 2015
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      Health Statistics of Azerbaijan, 2015.
    • 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
    • Сентябрь 2015
      Источник: The World Organisation for Animal Health (OIE)
      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 2010
      Источник: Angus Maddison
      Загружен: Knoema
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      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • Июль 2014
      Источник: United Nations Development Programme
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2014
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      The Human Development Report presents a wealth of statistical information on different aspects of human development
  • I
    • Август 2015
      Источник: ICTD
      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.
    • Июль 2014
      Источник: International Development Association (IDA)
      Загружен: Knoema
      Дата обращения к источнику: 06 августа, 2014
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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 (IHME)
      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 (IHME)
      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 (IHME)
      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 (IHME)
      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.
    • Декабрь 2010
      Источник: Institute for Health Metrics and Evaluation (IHME)
      Загружен: Knoema
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      IHME results from paper, Public financing of health in developing countries: a cross-national systematic analysis published in The Lancet in April 2010. This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.
    • Июль 2009
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 сентября, 2014
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      The central issue of trade by enterprise characteristics is to try to classify trade operators according to enterprise characteristics and the feasibility of doing so largely depends on the possibility of using or developing common identifiers between the trade register and the business register. Countries are different in their ability to perform such a linking, and matching ratios (between business and trade registers) vary between countries, thus the degree of representativeness of the results varies between countries.
    • Октябрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 06 ноября, 2015
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      Balance of Payments and International Investment Position Definition: Contains balance of payments and intemational investment position (IIP) data of individual countries, jurisdictions, and other reporting entities, and regional and world totals for major components of the balance of payments. Both balance of payments and IIP data are presented in accordance with the standard components of the sixth edition of the Balance of Payments and International Investment Position Manual, BPM6.   Geographic Coverage: Balance of payments data are available for approximately 204 economies and intemational investment position data are available for approximately 143 economies. Temporal Coverage: Data available starting in the 2005 for many IMF members. Varies by economy.Methodology: Sixth edition of the IMF's Balance of Payments and International investment Postion Manual
    • Февраль 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 20 апреля, 2015
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      The Direction of Trade Statistics (DOTS) presents current figures on the value of merchandise exports and imports disaggregated according to a country's primary trading partners. Area and world aggregates are included in the display of trade flows between major areas of the world. Reported data is supplemented by estimates whenever such data is not available or current. Imports are reported on a cost insurance and freight (CIF) basis and exports are reported on a free on board (FOB) basis with the exception of a few countries for which imports are also available FOB. Time series data includes estimates derived from reports of partner countries for non-reporting and slow-reporting countries. Topics covered include: commodity trade direction of trade exports by commodities exports by countries imports by commodities imports by countries international trade and trade flows.
    • 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.
    • Апрель 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 04 июня, 2015
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      Despite progress in addressing key fiscal weaknesses in many countries, significant policy challenges remain in advanced, emerging, and low-income economies, and must be faced in an environment where downside risks to growth have increased. Many advanced economies face very large adjustment needs to reduce risks related to high debt ratios. The appropriate pace of adjustment in the short run will depend, for each country, on the intensity of the market pressure it confronts, the magnitude of the risks to growth it faces, and the credibility of its medium-term program. The euro area needs to sustain fiscal consolidation, minimize its growth fallout, and address concerns about the adequacy of crisis resolution mechanisms. In Japan and the United States, sufficiently detailed and ambitious plans to reduce deficits and debts are needed to prevent credibility from weakening. Meanwhile, many emerging economies need to make faster progress in strengthening fiscal fundamentals before cyclical factors or spillovers from advanced economies turn against them. Low-income countries also need to rebuild fiscal buffers, while addressing spending needs.
    • Февраль 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2015
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      The Government Finance Statistics  http://www.imf.org/external/pubs/ft/gfs/manual/aboutgfs.htm
    • Октябрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2015
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    • Август 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 27 августа, 2014
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Август 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 26 августа, 2014
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Август 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 26 августа, 2014
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
    • Август 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 25 августа, 2014
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Август 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 25 августа, 2014
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • Август 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 07 ноября, 2015
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      This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes. For details on data sources used for compilation of statistics on immigration and emigration and for more country-specific data descriptions see Annexes attached.
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2013
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      Eurostat Dataset Id:migr_imm1ctz This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes.
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 26 ноября, 2013
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      Eurostat Dataset Id:migr_imm6ctz This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available.The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied.Data are presented country by country and for groups of countries.The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes.For details on data sources used for compilation of statistics on immigration and emigration and for more country-specific data descriptions see Annexes attached.
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 26 ноября, 2013
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      Eurostat Dataset Id:migr_imm7ctb This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available.The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied.Data are presented country by country and for groups of countries.The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes.For details on data sources used for compilation of statistics on immigration and emigration and for more country-specific data descriptions see Annexes attached.
    • Февраль 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 июня, 2015
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      Eurostat Dataset Id: nrg_126a
    • Апрель 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 июня, 2015
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      Eurostat Dataset Id:nrg_121a
    • Апрель 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 19 июня, 2015
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      Eurostat Dataset Id:nrg_125a Annual data on crude oil, oil products, natural gas, electricity, solid fuels and renewable covering the full spectrum of the energy balances positions from supply through transformation to final energy consumption by sector and fuel type. Monthly data on crude oil, oil products, natural gas, electricity and solid fuels, covering mainly the supply side. Also, annual and monthly imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information. All the above is measured in physical units (t, TJ, kWh, toe, etc.). In general, annual data collections cover the full spectrum of the 27 Member States of the European Union, the European Economic Area countries Iceland and Norway, and the Candidate Countries FYROM, Croatia and Turkey, with time-series reaching back to 1990 (for some new Member States selected energy indicators belonging to the major collections "Structural Indicators" and "Euro indicators" are included).
    • Апрель 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 18 июня, 2015
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      Eurostat Dataset Id:nrg_124a Monthly imports and exports:Quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not. The concept of the physical movement of flows applies. In general imports are recorded by country of origin, exports by country of destination and covering the most importing energy commodities:solid fuels (hard coal only)oil and petroleum productsgaselectricity For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set.Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013).For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions.Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA candidate countries and potential candidate countries.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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      Eurostat Dataset Id:nrg_124m Monthly imports and exports:Quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not. The concept of the physical movement of flows applies. In general imports are recorded by country of origin, exports by country of destination and covering the most importing energy commodities:solid fuels (hard coal only)oil and petroleum productsgaselectricity For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set.Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013).For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions.Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA candidate countries and potential candidate countries.
    • Апрель 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 04 мая, 2015
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      Eurostat Dataset Id:nrg_pc_203NEW METHODOLOGY (from 2007 onwards) Average half-yearly natural gas 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
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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      Eurostat Dataset Id:nrg_123m Data descriptionImports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not. The concept of the physical movement of flows applies.The monthly imports and exports data collections cover following energy commodities:solid fuels (hard coal only)oil and petroleum productsgaselectricity For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set.Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013).For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions.Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates.
    • Июнь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 июня, 2015
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      Eurostat Dataset Id:nrg_122a  Environment and energy > Energy > Energy statistics - quantities > Energy statistics - imports (by country of origin) > Imports (by country of origin) - solid fuels - annual data  
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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      Eurostat Dataset Id:nrg_122m Imports are recorded by country of origin, exports by country of destination; quantities are regarded as imported or exported when they have crossed the political boundaries of the country, whether customs clearance has taken place or not. The concept of the physical movement of flows applies.The monthly imports and exports data collections cover following energy commodities:solid fuels (hard coal only)oil and petroleum productsgaselectricity For solid fuels, crude oil and NGLs, imports and exports are reported by country of ultimate origin, respectively destination, while natural gas, refinery products and feedstocks as well as electricity are reported as coming from the country of last consignment. Quantities of crude oil and petroleum products imported or exported under processing agreements (i.e. refining on account) should be included. However, transit trade, international marine and aviation bunkers are excluded from this data set.Please note that this is different from the definition of natural gas trade in the annual gas questionnaire and from the definition in the previous monthly oil and gas questionnaire (before January 2013).For further information, please consult the Energy Statistics Regulation (Regulation (EC) 1099/2008 on energy statistics) and the reporting instructions.Monthly imports and exports of energy commodities cover the full spectrum of the 28 Member States of the European Union, EFTA States, candidate countries and potential candidates.   Environment and energy > Energy > Energy statistics - quantities > Energy statistics - imports (by country of origin) > Imports (by country of origin) - solid fuels - monthly data.
    • 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.
    • 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 2015
      Источник: The Heritage Foundation & The Wallstreet Journal
      Загружен: Knoema
      Дата обращения к источнику: 02 февраля, 2015
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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.
    • Август 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
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      Eurostat Dataset Id:demo_minf 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).
    • Август 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
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      Eurostat Dataset Id:demo_minfs 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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    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 01 ноября, 2015
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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).
    • 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.
    • Январь 2011
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 ноября, 2013
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      Eurostat Dataset Id:road_go_ia7lgtt Eurostat collects road transport statistics by two means: 1. Data on infrastructure, transport equipment, enterprises, economic performance, employment, traffic, aggregated data on transport of passengers and goods as well as data on accidents are collected using the Common Questionnaire of the United Nations Economic Commission for Europe (UNECE), Eurostat and the International Transport Forum (ITF, in the framework of OECD). The method of the Common Questionnaire data collection is presented in a separate document. 2. Data on carriage of goods by road, using heavy goods vehicles, are based on a continuum of legal acts: 2.1 Data collection on carriage of goods by road until 1998 (included) was based on Directives 78/546/EEC and 89/462/EEC and covered tonnes and tonne-kilometres only. 2.2 Data since the reference period 1999 are derived from micro-data collected in the framework of Regulation (EU) No 70/2012 of the European parliament and of the council on statistical returns in respect of the carriage of goods by road, a recast ofCouncil Regulation (EC) 1172/98 which has replaced the previous Directives. The figures are aggregated on the basis of sample surveys carried out by the reporting countries. The data cover tonnes, tonne-kilometres, vehicle-kilometres and numbers of journeys.
    • Март 2011
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 10 октября, 2013
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      Eurostat Dataset Id:road_go_ia_tctg Eurostat collects road transport statistics by two means: 1. Data on infrastructure, transport equipment, enterprises, economic performance, employment, traffic, aggregated data on transport of passengers and goods as well as data on accidents are collected using the Common Questionnaire of the United Nations Economic Commission for Europe (UNECE), Eurostat and the International Transport Forum (ITF, in the framework of OECD). The method of the Common Questionnaire data collection is presented in a separate document. 2. Data on carriage of goods by road, using heavy goods vehicles, are based on a continuum of legal acts: 2.1 Data collection on carriage of goods by road until 1998 (included) was based on Directives 78/546/EEC and 89/462/EEC and covered tonnes and tonne-kilometres only. 2.2 Data since the reference period 1999 are derived from micro-data collected in the framework of Regulation (EU) No 70/2012 of the European parliament and of the council on statistical returns in respect of the carriage of goods by road, a recast ofCouncil Regulation (EC) 1172/98 which has replaced the previous Directives. The figures are aggregated on the basis of sample surveys carried out by the reporting countries. The data cover tonnes, tonne-kilometres, vehicle-kilometres and numbers of journeys.
    • Март 2011
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 14 ноября, 2013
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      Eurostat Dataset Id:road_go_ia_rctg Eurostat collects road transport statistics by two means: 1. Data on infrastructure, transport equipment, enterprises, economic performance, employment, traffic, aggregated data on transport of passengers and goods as well as data on accidents are collected using the Common Questionnaire of the United Nations Economic Commission for Europe (UNECE), Eurostat and the International Transport Forum (ITF, in the framework of OECD). The method of the Common Questionnaire data collection is presented in a separate document. 2. Data on carriage of goods by road, using heavy goods vehicles, are based on a continuum of legal acts: 2.1 Data collection on carriage of goods by road until 1998 (included) was based on Directives 78/546/EEC and 89/462/EEC and covered tonnes and tonne-kilometres only. 2.2 Data since the reference period 1999 are derived from micro-data collected in the framework of Regulation (EU) No 70/2012 of the European parliament and of the council on statistical returns in respect of the carriage of goods by road, a recast ofCouncil Regulation (EC) 1172/98 which has replaced the previous Directives. The figures are aggregated on the basis of sample surveys carried out by the reporting countries. The data cover tonnes, tonne-kilometres, vehicle-kilometres and numbers of journeys.
    • Июль 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 ноября, 2013
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      Eurostat Dataset Id:road_go_ia_tc Eurostat collects road transport statistics by two means: 1. Data on infrastructure, transport equipment, enterprises, economic performance, employment, traffic, aggregated data on transport of passengers and goods as well as data on accidents are collected using the Common Questionnaire of the United Nations Economic Commission for Europe (UNECE), Eurostat and the International Transport Forum (ITF, in the framework of OECD). The method of the Common Questionnaire data collection is presented in a separate document. 2. Data on carriage of goods by road, using heavy goods vehicles, are based on a continuum of legal acts: 2.1 Data collection on carriage of goods by road until 1998 (included) was based on Directives 78/546/EEC and 89/462/EEC and covered tonnes and tonne-kilometres only. 2.2 Data since the reference period 1999 are derived from micro-data collected in the framework of Regulation (EU) No 70/2012 of the European parliament and of the council on statistical returns in respect of the carriage of goods by road, a recast ofCouncil Regulation (EC) 1172/98 which has replaced the previous Directives. The figures are aggregated on the basis of sample surveys carried out by the reporting countries. The data cover tonnes, tonne-kilometres, vehicle-kilometres and numbers of journeys.
    • Февраль 2008
      Источник: The World Bank
      Загружен: Knoema
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      Database provides a collection of comparative price data and detailed expenditure values of countries’ gross domestic products (GDP), and purchasing power parities (PPPs) estimates of the world’s economies.
    • Ноябрь 2015
      Источник: FRED, Federal Reserve Economic Data, from the Federal Reserve Bank of St. Louis
      Загружен: Knoema
      Дата обращения к источнику: 11 ноября, 2015
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      FRED Economic Research Division "International Data" dataset contains series for the following categories: money, banking & finance; national accounts; population, employment & labor markets; production & business activity; prices; work started; consumer opinion surveys; business tendency surveys (construction); business tendency surveys (services); business tendency surveys (manufacturing); business tendency surveys (non-manufacturing); leading indicators OECD; business tendency surveys (retail trade).
    • Декабрь 2014
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 30 декабря, 2014
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      Focuses on financial flows, trends in external debt, and other major financial indicators for developing and advanced economies. Includes over 200 time series indicators from 1970 to 2011, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2019.
    • Июль 2015
      Источник: Energy Information Administration
      Загружен: Knoema
      Дата обращения к источнику: 17 августа, 2015
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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.
    • Октябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 14 ноября, 2013
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      Eurostat Dataset Id:avia_paexac The Air transport domain contains national and international intra and extra-EU data. This provides air transport data for passengers (in number of passengers) and for freight and mail (in 1 000 tonnes) as well as air traffic data by airports, airlines and aircrafts. Data are transmitted to Eurostat by the Member States of the European Union as well as the Candidate Countries, Norway, Iceland and Switzerland. The air transport data have been calculated using data collected at airport level. The data are presented in four sub-domains:Air Transport measurement - PassengersAir Transport measurement - Freight and mailAir Transport measurement - Traffic data by airports, aircraft and airlinesAir Transport measurement - Data aggregated at standard regional levels (NUTS). The two first domains contain several data collections:Overview of the air transport by country and airport,National air transport by country and airport,International intra-EU air transport by country and airport,International extra-EU air transport by country and airport,Detailed air transport by reporting country and routes. In the tables of the sub-domain "Transport measurement - Passengers", data are broken down by passengers on board (arrivals, departures and total), passengers carried (arrivals, departures and total) and passenger commercial air flights (arrival, departures and total). Additionally, the tables of collection "Detailed air transport by reporting country and routes" provide data on seats available (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Freight and mail", data are broken down by freight and mail on board (arrival, departures and total), freight and mail loaded/unloaded (loaded, unloaded and total) and all-freight and mail commercial air flights (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Traffic by airports, aircrafts and airlines": - Data by type of aircraft are broken down by total passengers on board, total freight and mail on board in tonnes, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by type of airline are broken down by total passengers on board, total passengers carried, total freight and mail on board, total freight and mail loaded/unloaded, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by airport are broken down by total passengers carried, total transit passengers, total freight and mail loaded/unloaded, total commercial aircraft movements, total aircraft movements. The data is presented at monthly, quarterly and annual level. The sub-domain "Transport measurement - Data aggregated at standard regional levels (NUTS)", contains two tables:Air transport of passengers at regional levelAir transport of freight at regional level The tables present the evolution of the number of passengers carried (if not available passengers on board) and the volume of freight and mail loaded or unloaded (if not available freight and mail on board) to/from the NUTS regions (level 2, 1 and 0) since 1999. The data is presented at annual level. The air transport regional data have been calculated using data collected at the airport level in the frame of draft Council and Parliament Regulation (95/C 325/08).
    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 ноября, 2013
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      Eurostat Dataset Id:avia_goexcc The Air transport domain contains national and international intra and extra-EU data. This provides air transport data for passengers (in number of passengers) and for freight and mail (in 1 000 tonnes) as well as air traffic data by airports, airlines and aircrafts. Data are transmitted to Eurostat by the Member States of the European Union as well as the Candidate Countries, Norway, Iceland and Switzerland. The air transport data have been calculated using data collected at airport level. The data are presented in four sub-domains:Air Transport measurement - PassengersAir Transport measurement - Freight and mailAir Transport measurement - Traffic data by airports, aircraft and airlinesAir Transport measurement - Data aggregated at standard regional levels (NUTS). The two first domains contain several data collections:Overview of the air transport by country and airport,National air transport by country and airport,International intra-EU air transport by country and airport,International extra-EU air transport by country and airport,Detailed air transport by reporting country and routes. In the tables of the sub-domain "Transport measurement - Passengers", data are broken down by passengers on board (arrivals, departures and total), passengers carried (arrivals, departures and total) and passenger commercial air flights (arrival, departures and total). Additionally, the tables of collection "Detailed air transport by reporting country and routes" provide data on seats available (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Freight and mail", data are broken down by freight and mail on board (arrival, departures and total), freight and mail loaded/unloaded (loaded, unloaded and total) and all-freight and mail commercial air flights (arrival, departures and total). The data is presented at monthly, quarterly and annual level. In the tables of the sub-domain "Transport measurement - Traffic by airports, aircrafts and airlines": - Data by type of aircraft are broken down by total passengers on board, total freight and mail on board in tonnes, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by type of airline are broken down by total passengers on board, total passengers carried, total freight and mail on board, total freight and mail loaded/unloaded, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003. - Data by airport are broken down by total passengers carried, total transit passengers, total freight and mail loaded/unloaded, total commercial aircraft movements, total aircraft movements. The data is presented at monthly, quarterly and annual level. The sub-domain "Transport measurement - Data aggregated at standard regional levels (NUTS)", contains two tables:Air transport of passengers at regional levelAir transport of freight at regional level The tables present the evolution of the number of passengers carried (if not available passengers on board) and the volume of freight and mail loaded or unloaded (if not available freight and mail on board) to/from the NUTS regions (level 2, 1 and 0) since 1999. The data is presented at annual level. The air transport regional data have been calculated using data collected at the airport level in the frame of draft Council and Parliament Regulation (95/C 325/08).
    • Ноябрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 17 ноября, 2015
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      The International Financial Statistics database contains approximately 32,000 time-series covering more than 194 countries and areas. It Includes all series appearing on the IFS country pages, exchange rates series for all Fund member countries plus Anguilla, Aruba, China, P.R.: Hong Kong, China, P.R.: Macao, Montserrat, and the Netherlands Antilles; major Fund accounts series, real effectiveexchange rates, and other world, area, and country series from the world tables. Data are available for most IMF member countries with some aggregates calculated for select regions, plus some world totals. Topics covered include balance of payments, banking, banks, commodity prices, exchange rates, exports by commodities, exports by countries, financial statistics fund accounts, fund credits, government finance, imports by commodities, imports by countries, industrial production, interest rates, international trade, international transactions, investment, labor, monetary authorities, money and banking, national accounts, national income, outstanding obligations to the Fund, population, prices, and real effective exchange ratesGeographic Coverage: IFS covers 194 countries and areas.Temporal Coverage: Data available starting in the 1948 for many IMF member countries. Varies by country.Methodology: The International Financial Statistics is based on various IMF data collections. It includes exchange rates series for all Fund member countries plus Anguilla, Aruba, China, PR.: Hong Kong, China, P.R.: Macao, Montserrat, and the Netherlands Antilles. It also includes major Fund accounts series, real effective exchange rates, and other world, area, and country series. Data are available for most IMF member countries with some aggregates calculated for select regions, plus some world totals.Sectoral Coverage: National Accounts, Indicators of Economic Activity Labor Markets, Prices, Government and Public Sector Finance, Financial Indicators, Balance of Payments, International Investment Position, International Reserves, Fund Accounts, External Trade, Exchange Rates, and Population.
    • Август 2014
      Источник: United States 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 2015
      Источник: United States Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 02 сентября, 2015
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      This dataset is the basis for the International Food Security Assessment 2015-2025 released in June 2015. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources.
    • Сентябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 февраля, 2014
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      Eurostat Dataset Id:bop_euins_iip Balance of Payments data for the European Institutions (BoP EUI) are a complete data-set of Balance of Payments data where the European Institutions are the reporter and the partners are all the Member States and all the other countries in the world. In more concrete terms, BoP of the EU Institutions (EUI) provides information on money received (credits) and money spent (debits) by the EU Institutions. In the compilation of BoP EUI, Eurostat follows the methodology defined in the fifth IMF Balance of Payments Manual (BPM5) and the prescriptions provided by the European System of Accounts (ESA95).  The balance of payments (BoP) is a statistical statement that systematically summarizes, over a given period of time, all the transactions of an economy (the EU institutions) with the rest of the world (each of the EU Member States and each of the countries with whom the EU institutions have economic transactions). The balance of payments provides information on the total value of credits (flow 2, exports/money received) and debits (flow 3, imports/money spent) for each BoP item and on the net result or "balance" (flow 4, credits minus debits) of the transactions with each partner. Credits and debits are expressed in Euro. The BoP EUI is complemented by the statistics related to the International Investment Position (IIP) of the EUI that provides information on the stocks (flow 8) of assets and liabilities at the end of each year. The position (or stocks) at the end of each specific period reflects financial transactions (flow 2, 3 and 4), valuation changes and other adjustments (flows 5, 6 and 7) that occurred during the period and affected the level of assets or liabilities. The Balance of Payments accounts are constructed on a double-entry accounting system. When the EU Institutions buy a service (e.g. rent a building) from a Member State, they will pay via a credit transfer from a bank account. BoP EUI will record this transaction twice, once as a service import/Debit in the Current Account, once as a decrease (Flow 2/credits) in Assets, Currency and Deposits, Financial Account.
    • 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: United States 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.
    • Ноябрь 2014
      Источник: International Property Rights Index
      Загружен: Knoema
      Дата обращения к источнику: 17 декабря, 2014
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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.
    • 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.
    • Май 2012
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2012
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      This dataset contains: International trade in services (since 2004) (bop_its_det); International trade in services (from 1985 to 2003) (bop_its_deth); Total services, detailed geographical breakdown by EU Member States (since 2002) (bop_its_tot). Notes: Eurostat Hierarchy: Economy and finance > Balance of payments - International transactions (bop) > International trade in services, geographical breakdown (bop_its)
    • Июнь 2015
      Источник: International Transport Forum
      Загружен: Knoema
      Дата обращения к источнику: 09 июля, 2015
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      The International Transport Forum carries out a quarterly exercise collecting data on the short term evolution of the transport sector in the 51 member countries so as to foresee trends shifts in the sector as a result of economic down or upturn. The data covers 3 modes of inland transport (rail, road and inland waterways) together with some economic indicators. Series are available since 1995 and they are published with a 3 month lag.
    • Октябрь 2015
      Источник: Water FootPrint Network
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2015
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    • Январь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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    • Июль 2015
      Источник: The 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 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2015
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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
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    • Декабрь 2011
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2015
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    • 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.
    • Август 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 23 сентября, 2014
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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.
    • Март 2013
      Источник: International Transport Forum
      Загружен: Knoema
      Дата обращения к источнику: 01 октября, 2013
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      International comparisons of taxes and charges on road haulage require a framework that can relate all the various taxes and charges levied on transport activities to marginal costs, if they are to provide satisfactory answers to the following types of question. -- Do hauliers in one country pay more than in the other, and what impact does this have on the profitability of haulage in each country? -- Is the impact of an increase in tax on diesel the same in each country or are differences in the taxation of labour more significant? -- Do these differences distort the international haulage market?
    • 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
    • Январь 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2015
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      Global data on individuals, firms, and the business environments.
    • Сентябрь 2015
      Источник: Joint Organisations Data Initiative
      Загружен: Knoema
      Дата обращения к источнику: 01 октября, 2015
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      The JODI-Gas World Database is a platform that provides access to all data reported through monthly submissions of the JODI-Gas Questionnaire by all participating countries and economies. The database is updated on a monthly basis around the 20th of each month, though there are possibilities for additional updates. Registered users are notified by e-mail alert each time the database is updated.Modelled after JODI-Oil, which features monthly oil production, consumption, stocks and trade data from over 90 countries, JODI-Gas embodies the same objective of enhancing energy data transparency, with the ultimate goal of ensuring global energy security for producers and consumers alike.   JODI-Gas World Database covers: Three product categories:Natural gas in million m3Natural gas in TJLNG in 1000 tons Twelve flows:ProductionReceipts from Other SourcesTotal Imports LNGTotal Exports LNGTotal Imports through PipelineTotal Exports through PipelineStock ChangeGross Inland Deliveries (Calculated)Statistical Difference (Calculated)Gross Inland Deliveries (Observed)Of which: Electricity and Heat GenerationClosing Stocks;Data for around 80 participating countries. Historical data from January 2009: target is to release one month old data (M-1) every month for all participating countries.
    • Ноябрь 2015
      Источник: Joint Organisations Data Initiative
      Загружен: Knoema
      Дата обращения к источнику: 11 ноября, 2015
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      The Joint Organisations Data Initiative is a concrete outcome of the producer-consumer energy dialogue. The initiative relies on the combined efforts of producing and consuming countries and the seven JODI partner organisations to build the timely, comprehensive, and sustainable energy data provision architecture which is a prerequisite for stable energy commodity markets. More than 90 countries/economies, Members of the six pioneer organisations (APEC, EUROSTAT, IEA, OLADE, OPEC and UNSD) participate in JODI Oil, representing around 90% of global oil supply and demand. When the Joint Organisations Data Initiative Oil (JODI Oil) was first launched in 2001, the primary goal was not to build a database but to raise the awareness of all oil market players to the need for more transparency in oil market data. The database consists of: seven product categories: crude oil, LPG, gasoline, kerosene, diesel oil, fuel oil and total oil products; eight flows: production, demand, refinery intake and output, imports, exports, closing stock levels and stock change; data in three different units: barrels, tons and litres; data for more than 90 participating countries; data from January 2002 to one month-old.
    • Август 2014
      Источник: The 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: http://www.unodc.org/unodc/en/data-and-analysis/statistics/data.html
      Загружен: Karolina Kalkowska
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    • Январь 2012
      Источник: The 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
    • Август 2013
      Источник: The State Statistical Committee of the Republic of Azerbaijan
      Загружен: Knoema
      Дата обращения к источнику: 13 октября, 2015
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      Labour Statistics of Azerbaijan, 2014.
    • 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: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
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      Eurostat Dataset Id:demo_fabort 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-1Based 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).
    • Май 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
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      Eurostat Dataset Id:demo_fabortord 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-1Based 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). 
    • Ноябрь 2014
      Источник: Legatum Institute
      Загружен: Knoema
      Дата обращения к источнику: 13 ноября, 2014
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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.
    • Апрель 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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    • Август 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
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      Eurostat Dataset Id:demo_mlexpec 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).
    • Август 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2013
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      Eurostat Dataset Id:demo_mlifetable 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).
    • Июнь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
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      Eurostat Dataset Id:demo_fmonth 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-1Based 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).
    • Сентябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 ноября, 2015
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      Not applicable
    • Август 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 05 ноября, 2015
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      Not applicable
    • Сентябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 ноября, 2015
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      Not applicable
    • Август 2015
      Источник: The State Statistical Committee of the Republic of Azerbaijan
      Загружен: Knoema
      Дата обращения к источнику: 23 сентября, 2015
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      Live Stock of Azerbaijan, 2014
    • Март 2014
      Источник: The 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: 19 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: 19 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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    • Февраль 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2013
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      Eurostat Dataset Id:migr_lct Grants of citizenship awarded by the reporting country to persons who were previously citizens of another country or stateless.Losses of the citizenship of the reporting country.The disseminated series comprise: Total number of acquisitions of citizenship and since 2008 the number of losses of citizenship.The data sources are administrative records in the reporting countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes and other responsible bodies in the countries. However, not all countries are always able to provide data.Countries differ in terms of the conditions that must be fulfilled to acquire citizenship or to lose the citizenship. Generally, to acquire citizenship a period of (legally registered) residence is required, combined with other factors such as evidence of social and economic integration and knowledge of national languages. Different conditions may apply for persons who were born or educated in the country concerned, or who have parents or other relatives with that country's citizenship.For country-specific information see the Annexes of this document.
  • M
    • Май 2015
      Источник: Islamic Development Bank
      Загружен: Knoema
      Дата обращения к источнику: 09 сентября, 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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    • Март 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 октября, 2013
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      Eurostat Dataset Id:mar_go_am_be 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 in containers are also expressed in volume terms (TEUs = 20 ft equivalent unit). Data at regional level (NUTS 2, 1 and 0) are also available. The data collection is based on the terms of Directive 2009/42/EC of the European Parliament and of the Council on statistical returns in respect of carriage of goods and passengers by sea. 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, Vessels traffic and Regional information.
    • Март 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2013
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      Eurostat Dataset Id:mar_go_am_hr 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 in containers are also expressed in volume terms (TEUs = 20 ft equivalent unit). Data at regional level (NUTS 2, 1 and 0) are also available. The data collection is based on the terms of Directive 2009/42/EC of the European Parliament and of the Council on statistical returns in respect of carriage of goods and passengers by sea. 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, Vessels traffic and Regional information.
    • Март 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2013
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      Eurostat Dataset Id:mar_go_am_mt 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 in containers are also expressed in volume terms (TEUs = 20 ft equivalent unit). Data at regional level (NUTS 2, 1 and 0) are also available. The data collection is based on the terms of Directive 2009/42/EC of the European Parliament and of the Council on statistical returns in respect of carriage of goods and passengers by sea. 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, Vessels traffic and Regional information.
    • Март 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2013
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      Eurostat Dataset Id:mar_go_am_pt 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 in containers are also expressed in volume terms (TEUs = 20 ft equivalent unit). Data at regional level (NUTS 2, 1 and 0) are also available. The data collection is based on the terms of Directive 2009/42/EC of the European Parliament and of the Council on statistical returns in respect of carriage of goods and passengers by sea. 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, Vessels traffic and Regional information.
    • Март 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 октября, 2013
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      Eurostat Dataset Id:mar_go_am_tr 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 in containers are also expressed in volume terms (TEUs = 20 ft equivalent unit). Data at regional level (NUTS 2, 1 and 0) are also available. The data collection is based on the terms of Directive 2009/42/EC of the European Parliament and of the Council on statistical returns in respect of carriage of goods and passengers by sea. 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, Vessels traffic and Regional information.
    • Сентябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 октября, 2013
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      Eurostat Dataset Id:mar_go_qm_fi 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 in containers are also expressed in volume terms (TEUs = 20 ft equivalent unit). Data at regional level (NUTS 2, 1 and 0) are also available. The data collection is based on the terms of Directive 2009/42/EC of the European Parliament and of the Council on statistical returns in respect of carriage of goods and passengers by sea. 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, Vessels traffic and Regional information.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 августа, 2014
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      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.
    • Февраль 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 ноября, 2013
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      Eurostat Dataset Id:demo_nmsta 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-1Data 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 divorcesStatistics 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: 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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    • Сентябрь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 октября, 2015
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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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      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.
    • 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.
    • Июль 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 10 сентября, 2014
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      This table presents merchandise trade by trading partner and product based on three digit level SITC, Rev.3 commodity classification, expressed in thousands of dollars. In addition, data are also summarized by geographical region and economic grouping, for both reporting country and its trading partner, and by product grouping. Source:UNCTAD secretariat calculations, based on UN DESA Statistics Division, UN COMTRADE; IMF, Direction of Trade Statistics; UNCTAD, UNCTADstat Merchandise Trade Indices; and UNCTAD, UNCTADstat Total Merchandise Trade Notes:The principal data source is UN DESA Statistics Division, UN COMTRADE which provides detailed raw trade data by partner and product. The source figures may be adjusted or complemented, when considered necessary.  Figures are estimated whenever possible to fill in the gaps in the absence of official data. The adjusted data or estimates are marked to differentiate them from the original data. To the extent possible, the attempt was made to distribute the reported figures for unknown partners or products to estimated partners or products. As a consequence, this matrix does not include unknown partners or products (SITC, Rev.3 code 931). In addition, the sum of individual partners and the sum of individual products for a reporter may not add-up to its (total) trade to the world and its (total) trade of all products, respectively. Due to limitation of data availability and/or low trade values, the following SITC, Rev.3 codes are not shown separately: code 244 (Cork, natural, raw & waste), code 264 (Jute & bast fibre nes, raw & retted), code 345 (Coal gas, water gas & similar gases), code 911 (Postal packages not classified according to kind), and code 961 (Coin (other than gold coin), not being legal tender). Total trade figures in UNCTADstat Merchandise Trade Matrix may differ from UNCTADstat Total Merchandise Trade due to data discrepancies between their principal data sources.
    • Июль 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2014
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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
    • Июль 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2014
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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.
    • Декабрь 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 января, 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
    • Апрель 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 17 июня, 2015
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      Migration and Remittances Factbook 2014 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.
    • Июль 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 15 июля, 2015
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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.
    • Август 2014
      Источник: numbeo
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2014
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    • Июнь 2015
      Источник: European Commission
      Загружен: Knoema
      Дата обращения к источнику: 02 июля, 2015
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      The European Commission provides statistics on EU crude oil imports and crude oil supply costs.
    • Май 2015
      Источник: European Commission
      Загружен: Knoema
      Дата обращения к источнику: 07 июня, 2015
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    • Сентябрь 2013
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 24 сентября, 2014
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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.
  • N
    • Февраль 2014
      Источник: INEC
      Загружен: Knoema
      Дата обращения к источнику: 10 марта, 2014
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      Naional Accounts of Costa Rica, 2014
    • Декабрь 2014
      Источник: UN Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 05 февраля, 2015
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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.
    • Ноябрь 2014
      Источник: UN Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 23 июля, 2015
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      Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology. 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.
    • Март 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2013
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      Eurostat Dataset Id:migr_asyctzm Data series on asylum applications contain statistical information based on Article 4 of the Council Regulation (EC) No 862/2007 with reference to: Asylum and new asylum applicants by age, sex and citizenshipPersons subject to applications pending at the end of reference period by age, sex and citizenshipApplications for asylum withdrawn by age, sex and citizenshipAsylum applicants considered to be unaccompanied minors by age, sex and citizenship Data is presented country by country and for groups of countries: the European Union (EU27) and the European Economic Area (EEA).Data has been rounded to the nearest 5.
    • 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.
  • O
    • Март 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 31 марта, 2015
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      Foreign direct investment reflects the objective of obtaining a lasting interest by a resident entity in one economy (‘‘direct investor'') in anentity resident in an economy other than that of the investor (‘‘direct investment enterprise''). The lasting interest implies the existence of a long-term relationship between the direct investor and the enterprise and a significant degree of influence on the management of the enterprise. Direct investment involves both the initial transaction between the two entities and all subsequent capital transactions between them and among affiliated enterprises, both incorporated and unincorporated.
    • 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 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.
    • Октябрь 2015
      Источник: OPEC
      Загружен: Kirill Kosenkov
      Дата обращения к источнику: 14 октября, 2015
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      Global oil demand, supply, oil market balance and required amounts of OPEC crude.
    • 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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    • Июнь 2015
      Источник: OPEC
      Загружен: Knoema
      Дата обращения к источнику: 15 июля, 2015
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      The OPEC Annual Statistical Bulletin (ASB) provides detailed and comprehensive time-series data on many different aspects of the global petroleum industry, including production, demand, imports and exports, as well as exploration, production and transportation activities. The publication contains, in particular, key statistical data on oil and natural gas activities in each of OPEC’s 12 Member Countries: Algeria, Angola, Ecuador, Islamic Republic of Iran, Iraq, Kuwait, Libya, Nigeria, Qatar, Saudi Arabia, the United Arab Emirates and Venezuela. Additionally, it provides valuable industry data for various countries with detailed classifications mainly by geographical region, and covers the major economic areas around the world. This year’s 2015 ASB, which comprises data up to the end of 2014, includes the following important highlights:In 2014, world crude oil production averaged at 73.4 million barrels/day, increasing by 0.7 per cent, over 2013. Noticeable increases originated in North America, particularly the US, as well as in Western Europe, more specifically Norway. Crude oil production declined year-on-year in Africa and the Middle East, and remained relatively flat in other regions. Crude oil production in OPEC Member Countries reached 30.7m b/d during 2014, down 2.9 per cent from 2013, year-on-year. The overall OPEC share to the world crude production total in 2014 was at 41.8 per cent, lower than in 2013, when it was 43.3 per cent. Non-OPEC oil supply and OPEC NGLs, as well as non-conventional oil production inched to 62.3m b/d, increasing by 3.9 per cent as compared to the 2013 levels.World oil demand averaged at 91.3m b/d in 2014, up by 1.1 per cent year-on-year, with the largest increases taking place in China, the Middle East — particularly in Saudi Arabia, Islamic Republic of Iran, Qatar and the United Arab Emirates, — and in non-OECD Asia. The 2014 oil demand in Africa and Latin America continued its upward trend, while oil demand declined for another year in Western Europe. Total OECD oil demand fell slightly during 2014, while oil demand in OPEC Member Countries increased strongly for another year by 2.9 per cent, as compared to 2013. Distillates and gasoline account for around 55 per cent of total world oil demand and are on increasing trend, while residual fuel oil requirements declined for another year.In 2014, the majority of crude oil from OPEC Member Countries was exported to Asian and Pacific countries (13.7m b/d or 60.4 per cent). Substantial volumes of crude oil from OPEC Member Countries were also exported to Europe (3.8m b/d or 16.7 per cent) and North America (3.1m b/d or 13.9 per cent). Asian and Pacific countries were the largest importers of OPEC Member Countries petroleum products (2.7m b/d or 60.8 per cent). North America was the region in 2014 that recorded the largest yearly increase in oil exports (0.7 m b/d or 11.7 per cent) with the bulk of these volumes being petroleum products. OPEC Member Countries petroleum products exports in 2014 stood at 4.5m b/d, while during the same year the imports were at 1.6m b/d, up 1.4 per cent year-on-year.World proven crude oil reserves stood at 1,492.9 billion barrels at the end of 2014, 0.2 per cent higher as compared to the end of 2013. The largest non-OPEC additions originated in North America, particularly the US, as well as Asia and Pacific predominantly China and India. Proven crude oil reserves in OPEC Member Countries remained largely unchanged at the end of 2014, as compared to 2013 and reached a level of 1,206bn b. The overall OPEC percentage share of world proven crude oil reserved at the end of 2014 stood at 80.8 per cent. OPEC Member Countries remained important players in the natural gas market during 2014, with proven natural gas reserves of 95,129bn standard cubic metres. This marked a slight increase of 0.1 per cent from 2013, with a total world share of 47.3 per cent.The refinery capacity of OPEC Member Countries increased by 0.6m b/cd or 5.4 per cent during 2014 compared to 2013, with the bulk of increases originating in the Middle East. In 2014, OPEC Member Countries held 11.6 per cent of total world refinery capacity in 2014. World refinery capacity rose by 0.9m b/d in 2014. Gains in Asia Pacific, as well as North and Latin America have been partly offset by losses in Western Europe. The 2014 world refinery capacity inched to 95.7m b/cd during 2014.The OPEC Reference Basket averaged at $96.29/b in 2014, down from $105.87/b in 2013 and following a steep decline in the second half of 2014. This represented a decrease of $9.58/b or 9.0 per cent with a volatility of $14.56/b or, equivalently, 15.1 per cent relative to the yearly average. The minimum monthly average crude price was $59.46/b in December 2014 and the maximum was $107.89/b in June 2014.
    • 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.
    • Декабрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 марта, 2014
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      Eurostat Dataset Id:fats_out3_r2 Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Outward FATS describes the activities of foreign affiliates abroad controlled by residents of the compiling country. The countries collect and deliver on a mandatory basis the following characteristics:Number of enterprises (ENT)Turnover (TUR)Number of persons employed (EMP) For a few countries, data collected on a voluntary basis are available for some other characteristics:Value added at factor costs (VAC)Gross investments in tangible goods (GIT)Personnel costs (PEC) The outward FATS data are disseminated with annual frequency, with a detail by country of location (partner country) and economic activity of the foreign affiliate. Data are expressed in millions of EUR (Turnover, Value added at factor costs, Gross investments in tangible goods and Personnel costs) or in units (Number of persons employed and Number of enterprises).
    • Декабрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 марта, 2014
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      Eurostat Dataset Id:fats_out2_r2 Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets. Outward FATS describes the activities of foreign affiliates abroad controlled by residents of the compiling country. The countries collect and deliver on a mandatory basis the following characteristics:Number of enterprises (ENT)Turnover (TUR)Number of persons employed (EMP) For a few countries, data collected on a voluntary basis are available for some other characteristics:Value added at factor costs (VAC)Gross investments in tangible goods (GIT)Personnel costs (PEC) The outward FATS data are disseminated with annual frequency, with a detail by country of location (partner country) and economic activity of the foreign affiliate. Data are expressed in millions of EUR (Turnover, Value added at factor costs, Gross investments in tangible goods and Personnel costs) or in units (Number of persons employed and Number of enterprises).
    • 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
    • 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.
    • Ноябрь 2012
      Источник: Center of 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.
    • Октябрь 2015
      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: 19 октября, 2015
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    • Июнь 2014
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 19 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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    • Июль 2013
      Источник: UN Department of Economic and Social Affairs
      Загружен: Knoema
      Дата обращения к источнику: 29 декабря, 2014
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    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 ноября, 2013
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      Eurostat Dataset Id:migr_pop1ctz Usually resident population by sex, age group, citizenship or country of birth. Since 2008 migration data by single age are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied, mostly based on census, migration and vital statistics data. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes. For country-specific information see the Annexes of this document.
    • Март 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2013
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      Eurostat Dataset Id:cens_01nscbirth
    • Октябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 27 ноября, 2013
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      Eurostat Dataset Id:migr_pop3ctb Usually resident population by sex, age group, citizenship or country of birth. Since 2008 migration data by single age are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied, mostly based on census, migration and vital statistics data. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes.
    • Март 2009
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 29 ноября, 2013
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      Eurostat Dataset Id:cens_01nsctz
    • Октябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2013
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      Eurostat Dataset Id:migr_pop5ctz Usually resident population by sex, age group, citizenship or country of birth. Since 2008 migration data by single age are also available.The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied, mostly based on census, migration and vital statistics data.Data are presented country by country and for groups of countries.The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes.For country-specific information see the Annexes of this document.
    • Октябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2013
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      Eurostat Dataset Id:migr_pop6ctb Usually resident population by sex, age group, citizenship or country of birth. Since 2008 migration data by single age are also available.The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied, mostly based on census, migration and vital statistics data.Data are presented country by country and for groups of countries.The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes.For country-specific information see the Annexes of this document.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 31 октября, 2015
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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.
    • Июль 2014
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 15 июля, 2015
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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.
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 30 октября, 2015
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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.
    • Август 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 07 ноября, 2015
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      Usually resident population by sex, age group, citizenship or country of birth. Since 2008 migration data by single age are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied, mostly based on census, migration and vital statistics data. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes. For country-specific information see the Annexes of this document.
    • Август 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 07 ноября, 2015
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      Usually resident population by sex, age group, citizenship or country of birth. Since 2008 migration data by single age are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied, mostly based on census, migration and vital statistics data. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes. For country-specific information see the Annexes of this document.
    • Апрель 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2013
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      Eurostat Dataset Id:demo_pjanmarsta 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 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 октября, 2015
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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 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 18 февраля, 2014
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      The FAOSTAT Population module contains time series data on population, including urban/rural, labour force, agricultural and economically active population. The series consist of both estimates and projections for different periods as available from the original sources, namely: 1) population data refers to the World Population Prospects: The 2012 Revision from the UN Population Division; 2) urban/rural population data refers to the World Urbanization Prospects: The 2011 Revision from the UN Population Division. Long term series estimates and projections from 1961 to 2050; 3) economically active population from the ILO and the data refers to the 5th edition, revision 2009. Long term series estimates and projections from 1980 to 2020.
    • Май 2015
      Источник: Earth Policy Institute
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2015
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      This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).
    • Октябрь 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 октября, 2015
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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 2015
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 октября, 2015
      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.
    • Июль 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 июля, 2015
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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
    • Июль 2013
      Источник: The 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.
    • Февраль 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 27 февраля, 2015
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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.
    • 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.
  • Q
    • Январь 2015
      Источник: Quality of Government Institute
      Загружен: Knoema
      Дата обращения к источнику: 02 сентября, 2015
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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.
  • R
    • Август 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 ноября, 2013
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      Eurostat Dataset Id:rail_go_trsorde Eurostat collects rail transport statistics by two means:1. Voluntary data collection. Data are collected using the Common Questionnaire of the United Nations Economic Commission for Europe (UNECE), Eurostat and the International by NUTS 2 regions.2. Mandatory data collection based on the legal act. Data collection on goods and passenger transport, and on rail accidents is based on Regulation EC 91/2003 from the beginning of 2003. The freight data from 1982 until 2002 are based on Directive 80/1177/EEC. Compared to the Directive, Regulation 91/2003 covers the transport of passengers and statistics on accidents in addition to the transport of goods.
    • Октябрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 29 октября, 2015
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      Global growth in 2014 was a modest 3.4 percent, reflecting a pickup in growth in advanced economies relative to the previous year and a slowdown in emerging market and developing economies. Complex forces that affected global activity in 2014 are still shaping the outlook: medium- and long-term trends, global shocks, and many country- or region-specific factors. Growth is projected to be stronger in 2015 relative to 2014 in advanced economies, but weaker in emerging markets, reflecting more subdued prospects for some large emerging market economies and oil exporters. The chapter discusses recent developments in and prospects for the world economy, explores potential risks (both downside and upside), and makes policy recommendations. A special feature looks at developments in commodity markets, focusing specifically on investment in an era of low oil prices.
    • Август 2012
      Источник: Multiple Sources
      Загружен: Carpe Facto
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      Spread of religions across the World, by country
    • Январь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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    • Ноябрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 26 ноября, 2013
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      Eurostat Dataset Id:migr_asyresa Data series on asylum applications contain statistical information based on Article 4 of the Council Regulation (EC) no 862/2007 with reference to: First instance decisions by age, sex and citizenshipFinal decisions by age, sex and citizenshipDecisions withdrawing status granted at first instance by type of status withdrawn and by citizenshipDecisions withdrawing status granted as final decisions by type of status withdrawn and by citizenshipResettled persons by age, sex and citizenship Data is presented country by country and for groups of countries: the European Union (EU27 and the European Economic Area (EEA).According to confidentiality policies, figures have been rounded to the nearest 5.
    • Апрель 2015
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 19 мая, 2015
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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 2014
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 23 декабря, 2014
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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.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2014
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      International comparisons of taxes and charges on road haulage require a framework that can relate all the various taxes and charges levied on transport activities to marginal costs, if they are to provide satisfactory answers to the following types of question: -Do hauliers in one country pay more than in the other, and what impact does this have on the profitability of haulage in each country? -Is the impact of an increase in tax on diesel the same in each country or are differences in the taxation of labour more significant? -Do these differences distort the international haulage market? The 2003 ECMT Report 'Reforming Transport Taxes' developed a methodology for making such comparisons. The database presents information on vehicle taxes, fuel excise duties and user charges and takes also into account any possible refunds, rebates and exemptions. These data allow for comparison of road freight transport fiscal regimes in different countries in quantitative terms. In order to allow for comparisons of road freight taxation regimes in different countries, net taxation levels are calculated for a standard domestic haul (400-km domestic hauls with 40 tonne trucks). These results are then assessed per vehicle-km and per tonne-kilometre.
    • 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
    • Февраль 2014
      Источник: Central Department of Statistics & Information, Saudi Arabia
      Загружен: Knoema
      Дата обращения к источнику: 14 февраля, 2014
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      Detail on Foreign Trade
    • Март 2015
      Источник: Stockholm International Peace Research Institute (SIPRI)
      Загружен: Knoema
      Дата обращения к источнику: 17 апреля, 2015
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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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    • Июнь 2014
      Источник: SIR
      Загружен: Knoema
      Дата обращения к источнику: 04 июня, 2014
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      The SIR reports are not league tables. The ranking parameter –the scientific output of institutions- should be understood as a default rank, not our ranking proposal. The only goal of this report is to characterize research outcomes of organizations so as to provide useful scientometric information to institutions, policymakers and research manager so they are able to analyze, evaluate and improve their research results. If someone uses this report to rank institutions or to build a league table with any purpose, he/she will do it under his/her own responsibility. Output - Total number of documents published in scholarly journals indexed in Scopus (Romo-Fernández, et al., 2011). International Collaboration - Institution's output ratio produced in collaboration with foreign institutions. The values are computed by analyzing an institution's output whose affiliations include more than one country address (Guerrero-Bote, Olmeda-Gómez and Moya-Anegón, 2013; Lancho-Barrantes, Guerrero-Bote and Moya-Anegón, 2013; Lancho-Barrantes, et al., 2013; Chinchilla-Rodríguez, et al., 2012) Normalized Impact - Normalized Impact is computed using the methodology established by the Karolinska Intitutet in Sweden where it is named "Item oriented field normalized citation score average". The normalization of the citation values is done on an individual article level. The values (in %) show the relationship between an institution's average scientific impact and the world average set to a score of 1, --i.e. a NI score of 0.8 means the institution is cited 20% below world average and 1.3 means the institution is cited 30% above average (Rehn and Kronman, 2008; González-Pereira, Guerrero-Bote and Moya- Anegón, 2011). High Quality Publications - Ratio of publications that an institution publishes in the most influential scholarly journals of the world, those ranked in the first quartile (25%) in their categories as ordered by SCImago Journal Rank (SJRII) indicator (Miguel, Chinchilla-Rodríguez and Moya-Anegón, 2011). Specialization Index - The Specialization Index indicates the extent of thematic concentration /dispersion of an institution’s scientific output. Values range between 0 and 1, indicating generalist vs. specialized institutions respectively. This indicator is computed according to the Gini Index used in Economy (Moed, et. al., 2011; López-Illescas, Moya-Anegón and Moed, 2011; Arencibia-Jorge et al., 2012). In this indicator, when the value is 0 it means that the data are not sufficient to calculate. Excellence Rate - Excellence rate indicates the amount (in %) of an institution’s scientific output that is included into the set of the 10% of the most cited papers in their respective scientific fields. It is a measure of high quality output of research institutions (SCImago Lab, 2011; Bornmann, Moya-Anegón and Leydesdorff, 2012; Guerrero-Bote and Moya-Anegón, 2012). Scientific Leadership - Leadership indicates an institution’s “output as main contributor”, that is the number of papers in which the corresponding author belongs to the institution (Moya-Anegón, 2012; Moya-Anegón et. al, 2013; Moya-Anegón, et al., forthcoming) Excellence with Leadership - Excellence with Leadership indicates the amount of documents in the Excellence rate in which the institution is the main contributor (Moya-Anegón, et al., 2013).
    • 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: The 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.
    • Июль 2013
      Источник: Asian Development Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 июля, 2013
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      Social Protection Index, 2013
    • Июнь 2015
      Источник: Actionable Governance Indicators Data Portal
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2015
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      Statistical Capacity
    • Ноябрь 2014
      Источник: World Steel Association
      Загружен: Knoema
      Дата обращения к источнику: 11 ноября, 2014
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      Worldsteel’s Steel Statistical Yearbook presents a cross-section of steel industry statistics. It contains comprehensive statistics from (1991 - 2013) 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 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)
    • Февраль 2015
      Источник: World life Expectancy
      Загружен: Knoema
      Дата обращения к источнику: 07 мая, 2015
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    • Июнь 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 октября, 2015
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    • Март 2014
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 18 марта, 2015
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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
    • Август 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 09 октября, 2015
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    • Апрель 2013
      Источник: The 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).  
    • 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.
    • 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.
    • Март 2012
      Источник: Global Integrity
      Загружен: Knoema
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      The Global Integrity Report is an essential guide to anti-corruption institutions and mechanisms around the world, intended to help policymakers, advocates, journalists and citizens identify and anticipate the areas where corruption is more likely to occur. The Report evaluates both anti-corruption legal frameworks and the practical implementation and enforcement of those frameworks, and takes a close look at whether citizen can effectively access and use anti-corruption safeguards. The Report is prepared by local researchers, journalists and academics using a double-blind peer review process. More than 1,000 local contributors have participated in preparing the Report since 2004. The Global Integrity Report 2011 covers 31 countries examining transparency of the public procurement process, media freedom, asset disclosure requirements, conflicts of interest regulations, and more.
    • 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: IMTS
      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.
    • Сентябрь 2013
      Источник: International Benchmarking Network for Water and Sanitation Utilities
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      Дата обращения к источнику: 23 сентября, 2013
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      The International Benchmarking Network for Water and Sanitation Utilities (IBNET) is an initiative to encourage water and sanitation utilities to compile and share a set of core cost and performance indicators, and thus meet the needs of the various stakeholders. It sets forth a common set of data definitions; a minimum set of core indicators, and provides software to allow easy data collection and calculation of the indicators, while it also provides resources to analyze data and present results. Sharing of results is critical to successful performance comparisons (benchmarking).
    • Декабрь 2010
      Источник: International Budget Partnership
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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.
    • Июнь 2015
      Источник: The World Bank
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      Дата обращения к источнику: 03 июля, 2015
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    • Август 2012
      Источник: Bloomberg
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      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
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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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    • Сентябрь 2013
      Источник: Eurostat
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      Дата обращения к источнику: 26 ноября, 2013
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      Eurostat Dataset Id:migr_eipre Enforcement of immigration legislation data contain statistical information based on Article 5 and 7 of the Council Regulation (EC) no 862/2007 with reference to:  Third country nationals refused entry at the external border by type of border, ground for refusal and citizenship;Third country nationals found to be illegally present by age, sex and citizenship;Third country nationals ordered to leave by citizenship;Third country nationals returned following an order to leave by citizenship. Data are presented country by country.
    • Август 2013
      Источник: Eurostat
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      Дата обращения к источнику: 26 ноября, 2013
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      Eurostat Dataset Id:migr_eirfs Enforcement of immigration legislation data contain statistical information based on Article 5 and 7 of the Council Regulation (EC) no 862/2007 with reference to:  Third country nationals refused entry at the external border by type of border, ground for refusal and citizenship;Third country nationals found to be illegally present by age, sex and citizenship;Third country nationals ordered to leave by citizenship;Third country nationals returned following an order to leave by citizenship. Data are presented country by country.
    • Октябрь 2013
      Источник: World Chess Federation
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      Дата обращения к источнику: 08 октября, 2013
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      This Dataset consists of top 100 chess players for the period of starting from 2001 January.
    • Октябрь 2014
      Источник: United Nations Conference on Trade and Development
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      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.
    • Октябрь 2014
      Источник: United Nations Conference on Trade and Development
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      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.
    • Декабрь 2013
      Источник: National Bureau of Statistics of the Republic of Moldova
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      Дата обращения к источнику: 11 апреля, 2014
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      Tourism & Transport Statistics of Moldova, 2014
    • Ноябрь 2014
      Источник: TRACE Anti-Bribery Compliance Solutions
      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.
    • Август 2015
      Источник: Food and Agriculture Organization
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      Дата обращения к источнику: 26 августа, 2015
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    • Апрель 2014
      Источник: United Nations Conference on Trade and Development
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      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
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      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.  
    • Февраль 2015
      Источник: Food and Agriculture Organization
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      Дата обращения к источнику: 12 июня, 2015
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      The TradeSTAT module provides comprehensive, comparable and up-to-date annual trade statistics by country, region and economic country groups for about 600 individual food and agriculture commodities since 1961. The detailed food and agriculture trade data collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics Methodology is mainly provided by the national authorities and other international organizations. The total merchandise trade value by country is annually updated according to the national publications on Balance of Payment and trade statistics and harmonised with the consolidated figures disseminated by the Inter-Agency Common Data Set (CDS) on Total Merchandise Trade Statistics by countries.
    • Июль 2015
      Источник: The State Statistical Committee of the Republic of Azerbaijan
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      Дата обращения к источнику: 13 октября, 2015
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      Trade Statistics of Azerbaijan, 2014
    • Июнь 2015
      Источник: UNICEF Regional Office for CEE/CIS (TransMonEE)
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      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.
    • Август 2015
      Источник: The State Statistical Committee of the Republic of Azerbaijan
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      Дата обращения к источнику: 28 сентября, 2015
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      Transport Statistics of Azerbaijan, 2014
    • Сентябрь 2011
      Источник: International Transport Forum
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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 2012
      Источник: UN Statistics Division
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      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).
    • Июль 2011
      Источник: UN Statistics Division
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      The global database for merchandise trade statistics (HS Classification)
    • Декабрь 2011
      Источник: UN Statistics Division
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      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)
    • Июнь 2012
      Источник: UN Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 26 июня, 2012
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      The global database for merchandise trade statistics
    • Февраль 2015
      Источник: UNPACS
      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
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      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.
    • Апрель 2015
      Источник: UN Statistics Division
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      Дата обращения к источнику: 11 июня, 2015
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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 2015
    • 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: UN Statistics Division
      Загружен: Knoema
      Дата обращения к источнику: 07 июля, 2015
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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
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      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
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      Дата обращения к источнику: 14 сентября, 2011
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      UNECE Economic indicators. Comparable data for 52 countries and 7 groups of countries.
    • Январь 2012
      Источник: United Nations Economic Commission for Europe
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      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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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      Road Accidents by Country, Accident Type
    • Май 2011
      Источник: United Nations Economic Commission for Europe
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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.
    • Январь 2015
      Источник: Joint United Nations Programme on HIV/AIDS
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      Дата обращения к источнику: 06 мая, 2015
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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.
    • Июль 2015
      Источник: UN Department of Economic and Social Affairs
      Загружен: Knoema
      Дата обращения к источнику: 26 августа, 2015
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      This dataset contains short-term prospects for the global economy in 2015-2016
    • 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.
    • 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.
    • Июнь 2014
      Источник: United States 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.
    • Сентябрь 2015
      Источник: United States Department of Agriculture
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2015
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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.
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  • W
    • Май 2012
      Источник: International Labor Organization Department of Statistics
      Загружен: Knoema
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      Wages and Employment
    • 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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    • Апрель 2015
      Источник: The 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
    • Август 2015
      Источник: World Food Programme
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2015
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    • 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 2014
      Источник: World Health Organization
      Загружен: Knoema
      Дата обращения к источнику: 21 января, 2015
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      The World Malaria Report 2013 summarizes information received from malaria-endemic countries and other sources, and updates the analyses presented in the 2012 report. It highlights the progress made towards global malaria targets set for 2015, and describes current challenges for global malaria control and elimination.
    • 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
    • Декабрь 2013
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 февраля, 2014
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      Eurostat Dataset Id:bop_remit The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a geographical region during a given period.The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account.BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services, a component of BoP current account, and data on Foreign Direct Investment, a component of BoP financial account, are used to monitor the external commercial performance of different economies. Outward Foreign Affiliates Statistics (FATS) measure the commercial presence, as defined by the General Agreement on Trade in Services (GATS), through affiliates in foreign markets.Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived.Data are in millions of Euro/ECU or in millions of national currency.Balance of Payments data coverage varies according to the collection. Some collections refer only to Euro area or EU countries, while some others' coverage includes also EU partner countries.  Several statistical adjustments are applied to the original data provided by the Member States.The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP.The BoP data are collected through national surveys and administrative sources.   More information on BoP is available for each specific collection: Quarterly BoP, ITS, FDI, Outward FATS, BoP of EU Institutions.
    • Апрель 2012
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2012
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      Note: Eurostat Hierarchy: Economy and finance > Balance of payments - International transactions
    • Март 2012
      Источник: The 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.
    • Ноябрь 2013
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 28 декабря, 2013
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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.
    • Ноябрь 2011
      Источник: The 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.
    • Октябрь 2015
      Источник: The 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: The 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.
    • Сентябрь 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 октября, 2015
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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.
    • Июнь 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 10 июля, 2015
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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.
    • 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.
    • Октябрь 2015
      Источник: The World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 октября, 2015
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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. Note: Even though Global Development Finance (GDF) is no longer listed in the WDI database name and bulk download file names, all external debt and financial flows data continue to be included in WDI. The GDF publication has been renamed International Debt Statistics (IDS), and has its own separate database, as well.
    • Октябрь 2014
      Источник: International Federation of Red Cross & Red Creacent Societies
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2014
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      World Disasters Report, 2014
    • Апрель 2015
      Источник: World Energy Council
      Загружен: Knoema
      Дата обращения к источнику: 25 мая, 2015
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      This data presents the country rankings to acess individual country profiles and gain a better understanding of the aggregate effect of energy policies
    • Апрель 2014
      Источник: Columbia University's Earth Institute
      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.
    • Апрель 2015
      Источник: Sustainable Development Solutions Network (SDSN)
      Загружен: Knoema
      Дата обращения к источнику: 29 апреля, 2015
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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.
    • 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.
    • Август 2015
      Источник: Organisation Internationale des Constructeurs d’Automobiles
      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: UN 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.
    • Февраль 2015
      Источник: Reporters Without Borders
      Загружен: Knoema
      Дата обращения к источнику: 20 февраля, 2015
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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: The 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
    • Октябрь 2015
      Источник: World Steel Association
      Загружен: Knoema
      Дата обращения к источнику: 12 октября, 2015
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      Crude steel production statistics for 65 countries are published in the ‘Steel in Figures’ section of worldsteel.org on the 20th of every month. World steel has several sources for the data, including world steel member companies, national statistics offices and regional steel industry associations. The Economics department at world steel collects and compiles the data.
    • Апрель 2015
      Источник: World Tourism Organization
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2015
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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 2015
      Источник: World Travel and Tourism Council
      Загружен: Knoema
      Дата обращения к источнику: 19 марта, 2015
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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: UN 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.
    • Сентябрь 2015
      Источник: The 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.
    • 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
    • Май 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 июня, 2014
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      Eurostat Dataset Id:yth_demo_080 This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes. For details on data sources used for compilation of statistics on immigration and emigration and for more country-specific data descriptions see Annexes attached.
    • Май 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 июня, 2014
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      Eurostat Dataset Id:yth_demo_070 This domain comprises series of long-term international immigration and emigration during the reference year. Immigrants and emigrants are disaggregated by age group, sex, citizenship or country of previous/next residence. Since 2008 migration data by single age and immigration data by country of birth are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes. For details on data sources used for compilation of statistics on immigration and emigration and for more country-specific data descriptions see Annexes attached.
    • Май 2014
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 15 июня, 2014
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      Eurostat Dataset Id:yth_demo_060 Usually resident population by sex, age group, citizenship or country of birth. Since 2008 migration data by single age are also available. The data sources are administrative records or national surveys. For some datasets statistical estimation methods are applied, mostly based on census, migration and vital statistics data. Data are presented country by country and for groups of countries. The completeness of the tables depends largely on the availability of data from the relevant national statistical institutes. For country-specific information see the Annexes of this document.
    • Март 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 22 октября, 2015
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  • Т
    • Август 2015
      Источник: Федеральная Таможенная Служба, РФ
      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".