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Йемен

  • Президент:Abd Rabbuh Mansur Hadi
  • Премьер-министр:Ahmed Obeid bin Daghr
  • Столица:Sanaa
  • Языки:Arabic (official) note: a distinct Socotri language is widely used on Socotra Island and Archipelago; Mahri is still fairly widely spoken in eastern Yemen
  • Правительство
  • Статистическое агентство
  • Население:26 832 215 (2015)
  • Площадь:527 970 (2015)
  • ВВП на душу населения:1 408 (2013)
  • GDP, billion current US$:36,0 (2013)
  • Индекс Джини:35,91 (2005)
  • Рейтинг Ease of Doing Business:179 (2017)
Все наборы данных:  3 A B C D E F G H I J K L M N O P Q R S T U V W
  • 3
  • A
    • Июль 2016
      Источник: Knoema
      Загружен: Knoema
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      Accuracy of annual economic forecasts of international organizations - European Commission, IMF, OECD, World Bank, UN LINK
    • Июнь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      Agriculture Total contains all the emissions produced in the different agricultural emissions sub-domains (enteric fermentation, manure management, rice cultivation, synthetic fertilizers, manure applied to soils, manure left on pastures, crop residues, cultivation of organic soils, burning of crop residues, burning of savanna, energy use), providing a picture of the contribution to the total amount of GHG emissions from agriculture. GHG emissions from agriculture consist of non-CO2 gases, namely methane (CH4) and nitrous oxide (N2O), produced by crop and livestock production and management activities. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg CO2 and CO2eq (from CH4 and N2O), by underlying agricultural emission sub-domain and by aggregate (agriculture total, agriculture total plus energy, agricultural soils).
    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 25 августа, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Май 2013
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2015
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    • Декабрь 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 12 января, 2017
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      A commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use. -- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment. -- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire. -- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.
    • Январь 2015
      Источник: Ministry of Tourism, Government of India
      Загружен: Knoema
      Дата обращения к источнику: 18 мая, 2016
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    • Июнь 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2014
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      This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • Январь 2014
      Источник: World Resources Institute
      Загружен: Knoema
      Дата обращения к источнику: 07 декабря, 2015
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      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area.Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin.
    • Ноябрь 2014
      Источник: Actionable Governance Indicators Data Portal
      Загружен: Knoema
      Дата обращения к источнику: 13 октября, 2015
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    • Апрель 2010
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 18 марта, 2015
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      The Arab World Education Performance Indicators compiles data on education outcomes in 22 Arab States member countries in an aggregated and standardized manner. It allows users to compare the performance of each country along the following 6 important dimensions of education performance: access, equity, quality, efficiency, relevance, and Knowledge Economy readiness.
    • Февраль 2016
      Источник: Auto Care Association
      Загружен: Knoema
      Дата обращения к источнику: 17 февраля, 2016
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      U.S. Commercial Service Automotive Resource Guide, 2014 - Export.gov - Helping U.S. Companies Export Source: United States Department of Commerce, Bureau of the Census, Foreign Trade Division. TPIS Database: USHS EXPORTS, Revised Statistics for 1989–2012.
  • B
    • Май 2017
      Источник: Baker Hughes
      Загружен: Knoema
      Дата обращения к источнику: 10 мая, 2017
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    • Июнь 2015
      Источник: Barro-Lee
      Загружен: Knoema
      Дата обращения к источнику: 12 октября, 2015
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    • Январь 2016
      Источник: Bertelsmann Stiftung
      Загружен: Knoema
      Дата обращения к источнику: 21 сентября, 2016
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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. Countries are further categorized on the basis of these status index and management rankings/scores. For instance, countries are categorized in to 5 groups – viz; 5 or failed, 4 or very limited, 3 or limited, 2 or advanced, and 1 or highly advanced—based on their status index score of 1 to 10. A country with a high score, 8.5 and above, is categorized as highly advanced. A country with a low score, below 4, is categorized as failed. A country is categorized as ‘very limited’ if it has a status index score between 4 and 5.5. A score between 5.5 and 7 means the country is categorized as ‘limited’ and a country is categorized as ‘advanced’ for a score between 7.1 and 8.5.On the basis of the democratic status ranking, countries are further categorized as 5 or ‘hard - line autocracies,’ 4 or ‘moderate autocracies,’ 3 or ‘highly defective democracies,’ 2 or ‘defective democracies,’ and 1 or ‘democracies in consolidation.’ A country with a democratic status ranking below 4 is categorized as a hard line autocracy. A democratic status score between 4 and 5 means that the country is part of the ‘moderate autocracy’ group. A country is grouped as a ‘highly defective democracy’ for a score between 5 and 6. A country is recognized as a ‘defective democracy’ for a score between 6 and 8, and a score of 8 and above earns a country the status of a ‘democracy in consolidation.’Countries are also categorized in to 5 groups based on their market economy status ranking. The countries are categorized as ‘rudimentary’ or group 5, ‘poorly functioning’ or group 4, ‘functional flaws’ or group 3, ‘functioning’ or group 2, and ‘developed’ or group 1. A country is recognized as a member of the ‘developed’ group with a market economy status ranking/score of 8 and above. A country is grouped as ‘functioning’ if it has a score between 7 and 8. A market economy status ranking between 5 and 7 means the country is categorized to group 3 or the ‘functional flaws’ group. A score between 3 and 5 means that the country is ‘poorly functioning’ and a score below 3 means the country enjoys a ‘rudimentary’ status.Based on the management index ranking, countries are categorized as 5 or failed, 4 or weak, 3 or moderate, 2 or good, and1 or very good. A country is categorized as ‘very good’ for a score of 7 and above. It is categorized as ‘good’ for a score between 5.6 and 7, and as ‘moderate’ for a score between 4.4 and 5.5. A score between 3 and 4.3 means a country is categorized as ‘weak,’ and a score below 3 means the categorization of a country as ‘failed.’Countries are ranked between 1 and 10 on the basis of the level of difficulty they face. The level of difficulty is further categorized as 5 or negligible, 4 or minor, 3 or moderate, 2 or substantial, and 1 or massive. A score of 8.5 and above means the categorization of the country’s level of difficulty as ‘massive, and a score below 2.5 means the categorization of the level of difficulty faced by the country as ‘negligible.’ The level of difficulty score of 2.5 to 4.4 means a country faces a ‘minor’ level of difficulty and a score between 4.5 and 6.4 means the level of difficulty faced by a country is ‘moderate.’ A country with a score of 6.5 to 8.4 faces a ‘substantial’ level of difficulty.
    • Май 2016
      Источник: Federal Institute for Geosciences and Natural Resources
      Загружен: Knoema
      Дата обращения к источнику: 21 апреля, 2017
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    • Сентябрь 2016
      Источник: National Statistics Bureau, Bhutan
      Загружен: Knoema
      Дата обращения к источнику: 12 января, 2017
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      Bhutan : Tourism Statistics, 2015
    • Апрель 2014
      Источник: United Nations Conference on Trade and Development
      Загружен: Knoema
      Дата обращения к источнику: 08 февраля, 2016
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      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • Октябрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 11 ноября, 2016
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      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
    • Март 2017
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 24 марта, 2017
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      Measure for all Combinations - Amounts Outstanding / Stocks
    • Январь 2017
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 13 февраля, 2017
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      Below Parameters are common for all combinations : Frequency - Quarterly Measure - Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors
    • Июнь 2016
      Источник: BP
      Загружен: Knoema
      Дата обращения к источнику: 21 июня, 2016
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      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • Июнь 2016
      Источник: BP
      Загружен: Knoema
      Дата обращения к источнику: 27 июня, 2016
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      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the 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.
    • Январь 2016
      Источник: Multiple Sources
      Загружен: Knoema
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      Sources: IMF (Regional Economic Reports, January 2015 and November 2015), http://www.imf.org/external/pubs/ft/reo/reorepts.aspx?ddlYear=-1&ddlRegions=9The Wall Street Journal, http://graphics.wsj.com/lists/opec-meeting  
    • Июнь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      Greenhouse Gas (GHG) emissions from burning crop residues consist of methane (CH4) and nitrous oxide (N2O) gases produced by the combustion of a percentage of crop residues burnt on-site. The mass of fuel available for burning should be estimated taking into account the fractions removed before burning due to animal consumption, decay in the field, and use in other sectors (e.g., biofuel, domestic livestock feed, building materials, etc.). FAOSTAT emission estimates are computed at Tier 1 following the IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, reguions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O, Gg CO2eq and CO2eq from CH4 and N2O, by crop (maize, rice, sugarcane and wheat) and by aggregates. Implied emission factors for N2O and CH4 as well activity data (biomass burned) are also provided.
  • C
    • Декабрь 2015
      Источник: World Resources Institute
      Загружен: Knoema
      Дата обращения к источнику: 26 февраля, 2016
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      CAIT Historic allows for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 186 countries, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2012 and multi-sector greenhouse gas emission for 1990-2012.
    • Декабрь 2014
      Источник: DHS Program
      Загружен: Knoema
      Дата обращения к источнику: 02 июня, 2016
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      Demographic and Health Surveys 1996-2002
    • Июль 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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    • Январь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 22 сентября, 2016
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    • Декабрь 2012
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 сентября, 2016
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    • Февраль 2017
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2017
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • Март 2016
      Источник: UNESCO Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2016
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    • Декабрь 2016
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 13 февраля, 2017
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      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • Декабрь 2016
      Источник: Transparency International
      Загружен: Knoema
      Дата обращения к источнику: 30 января, 2017
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      Transparency International(TI) defines corruption as the abuse of entrusted power for private gain. This definition encompasses corrupt practices in both the public and private sectors. The Corruption Perceptions Index (CPI) ranks countries according to the perception of corruption in the public sector. The CPI is an aggregate indicator that combines different sources of information about corruption, making it possible to compare countries. The CPI ranks almost 200 countries by their perceived levels of corruption, as determined by expert assessments and opinion surveys.
    • 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.
    • Ноябрь 2015
      Источник: Bloom Consulting
      Загружен: Knoema
      Дата обращения к источнику: 02 мая, 2016
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      The United States of America remains number one in both the region and the world, challenged distantly by its ever-growing neighbors, Canada and Mexico, ranking second and third respectively within the Americas. Its incredible economic performance in terms of tourism receipts, almost 10 times larger than its main competitor Canada, makes the USA the absolute leader in the region despite its poorer online performance, especially in social media.
    • Июль 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 09 августа, 2016
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      The Country Policy and Institutional Assessment (CPIA) is an annual assessment of the quality of a country's present policy and institutional framework. "Quality" means how conducive that framework is to fostering sustainable, poverty-reducing growth and the effective use of development assistance. Gender equality, one of the sixteen criteria included in the CPIA process, is the extent to which the country has enacted and put in place institutions and programs to enforce laws and policies that: (a) promote equal access for men and women to human capital development opportunities; (b) promote equal access for men and women to productive and economic resources; and (c) give men and women equal status and protection under the law.
    • Июль 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 02 ноября, 2016
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      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • Июль 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 29 июля, 2016
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      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • Апрель 2016
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 18 апреля, 2016
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      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
    • Декабрь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three subsectors of agriculture, forestry, and fishing are completely specified. In other cases, complete disaggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
    • Июнь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      Greenhouse gas (GHG) emissions from crop residues consist of direct and indirect nitrous oxide (N2O) emissions from nitrogen (N) in crop residues and forage/pasture renewal left on agricultural fields by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories, Vol. 4, Ch. 2 and 11(http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by crop and N content in residues.
    • Декабрь 2016
      Источник: European Commission
      Загружен: Knoema
      Дата обращения к источнику: 25 апреля, 2017
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      Monthly and Cumulative Crude Oil Imports in Intra EU, December 2016 Note: (1) Source: Council Regulation (EC) n°2964/95 of 20 December 1995. (2) The cif price includes the fob price (the price actually invoiced at the port of loading), the cost of transport, insurance and certain charges linked to crude oil transfer operations. (3) Due to confidentiality Czech Republic is excluded from EU(28). (4) For Romania November-2016 and December-2016 are estimations derived from Eurostat data
    • Июнь 2016
      Источник: Food and Agriculture Organization
      Загружен: Knoema
      Дата обращения к источнику: 10 февраля, 2017
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      GHG emissions data from cultivation of organic soils are those associated with nitrous oxide gas from cultivated organic soils under cropland (item: cropland organic soils) and grassland (item: grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by the two aggregated. Implied emission factor for N2O as well activity data (areas) are also provided.
  • D
    • Март 2015
      Источник: Bank of Canada
      Загружен: Kirill Kosenkov
      Дата обращения к источнику: 27 июля, 2015
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      The Bank of Canada’s Credit Rating Assessment Group (CRAG) comprehensive database of sovereign defaults draws on previously published data sets compiled by various official and private sector sources. It combines elements of these, together with new information, to develop estimates of stocks of government obligations in default, including bonds and other marketable securities, bank loans, and official loans in default, valued in U.S. dollars, for the years 1975 to 2014 on both a country-by-country and a global basis. This update of CRAG’s database, and subsequent updates, will be useful to researchers analyzing the economic and financial effects of individual sovereign defaults and, importantly, the impact on global financial stability of episodes involving multiple sovereign defaults.
    • Март 2014
      Источник: Center for Systemic Peace
      Загружен: Knoema
      Дата обращения к источнику: 08 августа, 2014
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      The following table lists 328 episodes of armed conflict (including 30 ongoing cases) that comprise a comprehensive accounting of all forms of major armed conflicts in the world over the contemporary period: 1946-2013
    • Май 2016
      Источник: Economist Intelligence Unit
      Загружен: Knoema
      Дата обращения к источнику: 23 июня, 2016
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      1. The Democracy Index is based on five categories: electoral process and pluralism; civil liberties; the functioning of government; political participation; and political culture. Based on their scores on a range of indicators within these categories, each country is then itself categorized as one of four types of regime: “full democracies”; “flawed democracies”; “hybrid regimes”; and “authoritarian regimes”.2. Categorization of country based on overall score (on scale of 0 to 10)10≤Full Democracies≤88
    • Апрель 2016
      Источник: Islamic Development Bank
      Загружен: Knoema
      Дата обращения к источнику: 28 сентября, 2016
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    • Июль 2014
      Источник: Central Statistical Organisation Yemen
      Загружен: Knoema
      Дата обращения к источнику: 06 октября, 2015
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    • Март 2016
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Knoema
      Дата обращения к источнику: 24 августа, 2016
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      Financing Global Health 2015 is the seventh edition of IHME’s annual series on global health financing. This report captures trends in development assistance for health (DAH) and government health expenditure as source (GHE-S) in low- and middle-income countries. Annually updated GHE-S and DAH estimates are produced to aid decision-makers and other global health stakeholders in identifying funding gaps and investment opportunities vital to improving population health. This year, IHME made a number of improvements to the data collection and methods implemented to generate Financing Global Health estimates.
    • Май 2007
      Источник: International Telecommunication Union
      Загружен: Knoema
      Дата обращения к источнику: 28 мая, 2015
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      The Digital Opportunity Index (DOI) is the only index that includes price data for 181 economies, which is vital in assessing effective market demand. The Digital Opportunity Index (DOI) has been designed to as a tool for tracking progress in bridging the digital divide and the implementa- tion of the outcomes of the World Summit on the Information Society (WSIS). As such, it provides a powerful policy tool for exploring the global and regional trends in infrastructure, opportu- nity and usage that are shaping the Information Society.
    • Июль 2016
      Источник: Bureau of Economic Analysis
      Загружен: Knoema
      Дата обращения к источнику: 26 декабря, 2016
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      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States 2015
    • Декабрь 2008
      Источник: Institute for Health Metrics and Evaluation
      Загружен: Peter Speyer
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      IHME research, published in the Lancet in 2008. The study, Tracking progress towards universal childhood immunizations and the impact of global initiatives, provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination. The estimates take into account all publicly available data, including data from routine reporting systems and nationally representative surveys.
    • E
      • Июль 2013
        Источник: Earth Policy Institute
        Загружен: Knoema
        Дата обращения к источнику: 08 июля, 2013
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        Contains annual data series on water consumption, irrigated area, solar water and space heating area, countries overpumping aquifers and water deficits for the countries and regions through the time period from 1961 to 2013.
      • Октябрь 2016
        Источник: Fraser Institute
        Загружен: Knoema
        Дата обращения к источнику: 07 декабря, 2016
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        The economic freedom index measures the degree of economic freedom present in five major areas: [1] Size of Government; [2] Legal System and Security of Property Rights; [3] Sound Money; [4] Freedom to Trade Internationally; [5] Regulation. Within the five major areas, there are 24 components (area) in economic freedom index. Each component and sub-component is placed on a scale from 0 to 10.
      • Декабрь 2012
        Источник: Liberia Institute of Statistics & Geo-Information Services
        Загружен: Knoema
        Дата обращения к источнику: 21 мая, 2013
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      • Декабрь 2015
        Источник: United Nations Development Programme
        Загружен: Misha Gusev
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        Calculated using Mean Years of Schooling and Expected Years of Schooling.
      • Июль 2014
        Источник: Central Statistical Organisation Yemen
        Загружен: Knoema
        Дата обращения к источнику: 08 октября, 2015
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      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 13 января, 2017
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      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 февраля, 2017
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        Greenhouse Gas (GHG) emissions from burning of savanna consist of methane (CH4) and nitrous oxide (N2O) gases produced from the burning of vegetation biomass in the following five land cover types: Savanna, Woody Savanna, Open Shrublands, Closed Shrublands, and Grasslands. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (savanna, woody savanna, closed shrubland, open shrubland, grassland) and by aggregates (all categories, savanna and woody savanna, closed and open shrubland). Implied emission factors for N2O and CH4 as well activity data (burned area and biomass burned) are also provided.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        Manure ManagementGreenhouse gas (GHG) emissions from manure management consist of methane and nitrous oxide gases from aerobic and anaerobic manure decomposition processes. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factors, direct and indirect emissions (for both N2O and CO2eq) as well as N content in manure are also provided.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Greenhouse gas (GHG) emissions data from cropland are currently limited to emissions from cropland organic soils. They are those associated with carbon losses from drained histosols under cropland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol5.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Greenhouse gas (GHG) emissions data from grassland are currently limited to emissions from grassland organic soils. They are those associated with carbon losses from drained histosols under grassland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol6.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Land Use Total contains all GHG emissions and removals produced in the different Land Use sub-domains, representing the three IPCC Land Use categories: cropland, forest land, and grassland, collectively called emissions/removals from the Forestry and Other Land Use (FOLU) sector. FOLU emissions consist of CO2 (carbon dioxide), CH4 (methane) and N2O (nitrous oxide) associated with land management activities. CO2 emissions/removals are derived from estimated net carbon stock changes in above and below-ground biomass pools of forest land, including forest land converted to other land uses. CH4 and N2O, and additional CO2 emissions are estimated for fires and drainage of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided as by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CO2eq from CH4 and N2O, net emissions/removals as GG CO2 and Gg CO2eq, by underlying land use emission sub-domain and by aggregate (land use total).
      • Май 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 26 мая, 2017
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        National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
      • Апрель 2012
        Источник: Ministry of Statistics and Programme Implementation, Government of India
        Загружен: Knoema
        Дата обращения к источнику: 25 декабря, 2013
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        Source: Ministry of Petroleum & Natural Gas. Note: Annual changes and shares of total are calculated using million tonnes per annum figures.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 февраля, 2017
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        Greenhouse gas (GHG) emissions from enteric fermentation consist of methane gas produced in digestive systems of ruminants and to a lesser extent of non-ruminants. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), goats, horses, llamas, mules, sheep, swine (breeding and market)) and by species aggregates (all animals, camels and llamas, cattle, mules and asses, sheep and goats, swine). Implied emission factor for CH4 and activity data are also provided
      • Март 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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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.
      • Октябрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2015
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        1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2015, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
      • Январь 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 19 января, 2017
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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.
      • Январь 2016
        Источник: Environmental Performance Index
        Загружен: Knoema
        Дата обращения к источнику: 09 марта, 2016
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      • Январь 2016
        Источник: Environmental Performance Index
        Загружен: Knoema
        Дата обращения к источнику: 08 марта, 2016
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        A “proximity-to-target methodology” is used to assess how close each country is to an identified policy target. Country scores are determined by how close or far countries are to targets. Scores are standardized (i.e., on a scale of 0 to 100) for comparability, weighting, and aggregation. The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
      • Сентябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 04 октября, 2016
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      • Сентябрь 2015
        Источник: Multiple Sources
        Загружен: Knoema
        Дата обращения к источнику: 10 сентября, 2015
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      • Май 2017
        Источник: XE
        Загружен: Knoema
        Дата обращения к источнику: 29 мая, 2017
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        This dataset contains the exchange rate of 1USD to their country local currency.
      • Октябрь 2015
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 22 октября, 2015
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        Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
      • Март 2015
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 29 апреля, 2016
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        This table shows exchange rates for currencies used in over 190 world economies presented in a crossrates layout where countries are presented in both rows and columns. National currency per US dollars exchange rates are used to derive explicit exchange rates for each of the countries presented with regard to any other country. Country series are consistent over time: for example, a conversion was made from national currency to Euro for the Euro Zone economies for all years prior to the adoption of Euro.
      • Сентябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 06 октября, 2016
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        This table presents trade in services by service category for individual countries, expressed in millions of dollars and as percentages of a country's total trade in services. The commercial services, which exclude government services and follow the GATS definition, are included as well.
      • Июль 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 16 июля, 2014
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        This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
      • Февраль 2016
        Источник: Coffee Board of India
        Загружен: Knoema
        Дата обращения к источнику: 22 июня, 2016
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      • 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).
      • Апрель 2016
        Источник: Islamic Development Bank
        Загружен: Knoema
        Дата обращения к источнику: 28 сентября, 2016
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      • Март 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 01 апреля, 2017
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        International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.
    • F
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
      • Июль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 03 августа, 2016
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        AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the programme is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 12 января, 2017
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        Consumer price indices (CPIs) measure changes over time in the general level of prices of consumer goods and services that households acquire, use or pay for consumption. This is done by measuring the cost of purchasing a fixed basket of consumer goods and services of constant quality and similar characteristics, with the products in the basket being selected to be representative of households’ expenditure during a year or other specified period.   Note: For some countries quarterly data is mentioned as monthly data because of quarter (Time period of quarter) differs across countries. Please go to the link: "http://fenixservices.fao.org/faostat/static/documents/CP/CPI_e.pdf" for detail about countries' National index reference period, definition, data details.    
      • Июнь 2012
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2012
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        This dataset represents Food Consumption, Food Production and Trade by various Food items. Note: data represent values for time periods (1990-1992, 1995-97, 2000-02, 2005-07) and is shown as data for the last year of time period (1992, 1997, 2002, 2007).
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 12 января, 2017
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        Note: Data represent values for time periods (1990-1992,1995-97,2000-02,2005-07) and is shown as data for the last year of time period(1992,1997,2002,2007).
      • Август 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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        The Price domain of FAOSTAT contains annual data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 130 countries and for some 200 commodities, representing over 97 percent of the world’s value of gross agricultural production (at 1999-2001 International Dollar Prices). PriceSTAT contains data from 1991 onwards. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
      • Октябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 03 января, 2017
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        Producer Price Indices - AnnualIndices of agricultural producer prices measure the average annual change over time in the selling prices received by farmers (prices at the farm-gate or at the first point of sale). Annual data are provided for over 80 countries. The three categories of producer price indices available in FAOSTAT comprise: Single-item price indices, Commodity group indices and the Agriculture producer price index.
      • Ноябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 27 декабря, 2016
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        Farmers produce food and fiber using a wide variety of farm practices and management systems that differ by commodity, region, and farm and operator characteristics. The mix of inputs, practices, and technologies used by farmers, when combined with land, labor, and water resources, affects production costs; farm income; and soil, water and air quality.
      • Февраль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 26 февраля, 2016
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        Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of production measures production in monetary terms at the farm gate level. Since intermediate uses within the agricultural sector (seed and feed) have not been subtracted from production data, this value of production aggregate refers to the notion of "gross production". Value of gross production is provided in both current and constant terms and is expressed in US dollars and Standard Local Currency (SLC). The current value of production measures value in the prices relating to the period being measured. Thus, it represents the market value of food and agricultural products at the time they were produced. Knowing this figure is helpful in understanding exactly what was happening within a given economy at that point in time. Often, this information can help explain economic trends that emerged in later periods and why they took place. Value of production in constant terms is derived using the average prices of a selected year or years, known as the base period. Constant price series can be used to show how the quantity or volume of products has changed, and are often referred to as volume measures. The ratio of the current and constant price series gives a measure of price movements. US dollar figures for value of gross production are converted from local currencies using official exchange rates as prevailing in the respective years. The SLC of a country is the local currency prevailing in the latest year. Expressing data series in one uniform currency is useful because it avoids the influence of revaluation in local currency, if any, on value of production
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2017
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        FDI data are based on statistics provided by 35 OECD member countries.
      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 мая, 2016
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      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 мая, 2016
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      • Май 2017
        Источник: International Federation of Association Football
        Загружен: Knoema
        Дата обращения к источнику: 13 мая, 2017
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        Monthly updates of FIFA World Football Men's Ranking 
      • Октябрь 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 07 октября, 2016
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        The FAS is the sole source of global supply-side data on financial inclusion, encompassing internationally-comparable basic indicators of financial access and usage. From 2014, FAS also includes indicators for mobile money. In addition to providing policy makers and researchers with annual geographic and demographic data on access to basic consumer financial services worldwide, the FAS is the data source for the G-20 Basic Set of Financial Inclusion Indicators endorsed by the G-20 at the Los Cabos Summit in 2012.  The FAS database currently contains 152 time series and 47 key indicators which are grouped into two dimensions: (i) geographic outreach of financial services; and (ii) use of financial services. The database includes annual data from 2004 and metadata for the reporting jurisdictions.
      • Май 2016
        Источник: Statistics Finland
        Загружен: Knoema
        Дата обращения к источнику: 05 июля, 2016
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        Statistics on international trade in services describe Finnish enterprises’ international sales and imports of services by service type and target country.
      • Апрель 2016
        Источник: Statistics Finland
        Загружен: Knoema
        Дата обращения к источнику: 13 июля, 2016
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        These statistics on the structure of the population describe Finnish and foreign citizens permanently resident in Finland at the turn of the year.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 20 февраля, 2017
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        Commodity balances show balances of food and agricultural commodities in a standardized form. The scope of standardization is to present these data in a less detailed form for a selected number of commodities without causing any significant loss of the basic variables monitoring the agricultural sector. The selected commodities include the equivalents of their derived products falling in the same commodity group, but exclude the equivalents of by-products and derived commodities, which through processing, change their nature and become part of different commodity groups. A number of commodity/item aggregates have been included to offer synthetic information. Some of these are included with the aim of simplifying the extraction of all component commodities. Data shown in the item aggregates represent the sum of the component commodities as presented in this domain (standardized form). Commodity coverage: The commodity list in this domain has been generally confined to primary commodities - except for sugar, oils and fats and beverages. Whenever possible trade in processed commodities is expressed in the originating primary commodity equivalent. Rice is expressed in milled equivalent.
      • Апрель 2017
        Источник: Knoema
        Загружен: Knoema
        Дата обращения к источнику: 10 апреля, 2017
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        Collect food prices data in your country and earn up to $120 every month.We are looking for data collectors who will go to the specific markets weekly, collect data on food prices for about 25 items and submit them into our system.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 17 февраля, 2017
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        Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
      • Сентябрь 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 октября, 2014
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        The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 30 декабря, 2016
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      • Июнь 2014
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 11 декабря, 2015
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        Eurostat Dataset Id:educ_enrl8 The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes by pupils and students, personnel in education and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the UOE data collection:the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered:Context - School-aged population, overall participation rates in educationDistribution of pupils/students by levelParticipation/enrolment in education (ISCED 0-4)Tertiary education participationTertiary education graduatesTeaching staff (ISCED 1-3)Pupil/students-teacher ratio and average class size (ISCED 1-3)Language learning (ISCED 1-3)Regional enrolmentsExpenditure on education in current pricesExpenditure on education in constant pricesExpenditure on education as % of GDP or public expenditureExpenditure on public and private educational institutionsFinancial aid to studentsFunding of education Other tables, used to measure progress towards the Lisbon objectives in education and training, are gathered in the Thematic indicators tables. They contain the following indicators: - Teachers and trainers - Mathematics, science and technology enrolments and graduates - Investments in education and training - Participation rates in education by age and sex - Foreign language learning - Student mobility
      • Май 2017
        Источник: U.S. Census Bureau
        Загружен: Knoema
        Дата обращения к источнику: 08 мая, 2017
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      • Июнь 2016
        Источник: Saudi Arabian Monetary Agency
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2016
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      • Июль 2015
        Источник: United Nations Economic Commission for Europe
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2015
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      • Июнь 2015
        Источник: United Nations Economic Commission for Europe
        Загружен: Knoema
        Дата обращения к источнику: 26 мая, 2016
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      • Март 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 04 января, 2017
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        The database contains data on the production and trade in round wood and primary wood and paper products for all countries and territories in the world. The main types of primary forest products included in are: round wood, sawn wood, wood-based panels, pulp, and paper and paperboard. These products are detailed further. The definitions are available. The database contains details of the following topics: - Round wood removals (production) by type of wood and assortment - Production and trade in round wood, wood fuel and other basic products - Industrial round wood by assortment and species - Sawn wood, panels and other primary products - Pulp and paper & paperboard. More detailed information on wood products, including definitions, can be found at http://www.fao.org/forestry/statistics/80572/en/
      • Декабрь 2016
        Источник: Carbon Dioxide Information Analysis Center
        Загружен: Knoema
        Дата обращения к источнику: 17 мая, 2017
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        World and National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Source: Tom Boden, Gregg Marland and Bob Andres (Oak Ridge National Laboratory)
      • Июнь 2016
        Источник: Fund for Peace
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        The FSI focuses on the indicators of risk and is based on thousands of articles and reports that are processed by our CAST Software from electronically available sources. Measures of fragility, like Demographic Pressures,Refugees and IDPs and etc., have been scaled on 0 to 10 where 10 is highest fragility and 0 no fragility.
      • Январь 2017
        Источник: Freedom House
        Загружен: Knoema
        Дата обращения к источнику: 03 января, 2017
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        Freedom in the World is Freedom House’s flagship annual report, assessing the condition of political rights and civil liberties around the world. It is composed of numerical ratings and supporting descriptive texts for 195 countries and 15 territories. Freedom in the World has been published since 1973, allowing Freedom House to track global trends in freedom over more than 40 years. It has become the most widely read and cited report of its kind, used on a regular basis by policymakers, journalists, academics, activists, and many others.
    • G
      • Март 2017
        Источник: Global Database of Events, Language, and Tone
        Загружен: Knoema
        Дата обращения к источнику: 10 марта, 2017
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        The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes.Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA).Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."
      • Май 2017
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 26 мая, 2017
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        National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset includes gender inequality and development indices.
      • Апрель 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 03 мая, 2017
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        Gender Stats is... A one stop source of information on gender at the country level. A compilation of data on key gender topics from national statistics agencies, United Nations databases, and World Bank-conducted or funded surveys. A work-in-progress because the database is continuously updated as new information becomes available.
      • Февраль 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.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 января, 2017
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        This table provides information on the main relevant indicators. The data have mainly been supplied by the World Bank, and cover, where available: -Current Gross National Income (GNI) in US $ millions; -GNI per capita (US $); -Population; -Energy use as kilogram of oil per capita; -Average Life Expectancy of Adults; and -Adult Literacy Rate as a percentage of the country population. Data for Sudan include South Sudan, with the exception of total population, which is reported separately.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 08 июля, 2016
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        Bilateral ODA commitments by purpose. Data cover the years 2005 to 2009. Amounts are expressed in USD million. The sectoral distribution of bilateral ODA commitments refers to the economic sector of destination (i.e. the specific area of the recipient's economic or social structure whose development is, or is intended to be fostered by the aid), rather than to the type of goods or services provided. These are aggregates of individual projects notified under the Creditor Reporting System, supplemented by reporting on the sectoral distribution of technical co-operation, and on actual disbursements of food and emergency aid.
      • Декабрь 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 02 декабря, 2016
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      • Ноябрь 2016
        Источник: Emission Database for Global Atmospheric Research
        Загружен: Knoema
        Дата обращения к источнику: 24 марта, 2017
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        Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.
      • Октябрь 2015
        Источник: HelpAge International
        Загружен: Knoema
        Дата обращения к источнику: 16 октября, 2015
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        The aim of the Index is both to capture the multidimensional nature of the quality of life and wellbeing of older people, and to provide a means by which to measure performance and promote improvements. We have chosen 13 different indicators for the four key domains of Income security, Health status, Capability, and Enabling environment. Domain 1: Income security The income security domain assesses people's access to a sufficient amount of income, and the capacity to use it independently, in order to meet basic needs in older age. Domain 2: Health status The three indicators used for the health domain provide information about physical and psychological wellbeing. Domain 3: Capability The employment and education indicators in this domain look at different aspects of the empowerment of older people. Domain 4: Enabling environment This domain uses data from Gallup World View to assess older people's perception of social connectedness, safety, civic freedom and access to public transport - issues older people have singled out as particularly important.
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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        This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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        Contains the volume of fish catches landed by country or territory of capture, by species or a higher taxonomic level, by FAO major fishing areas, and year for all commercial, industrial, recreational and subsistence purpose
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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        This database contains statistics on the annual production of fishery commodities and imports and exports of fishery commodities by country and commodities in terms of volume and value from 1976.
      • Ноябрь 2016
        Источник: DHL
        Загружен: Knoema
        Дата обращения к источнику: 07 декабря, 2016
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        DHL released the third edition of its Global Connectedness Index (GCI), a detailed analysis of the state of globalization around the world. The latest report, authored by internationally acclaimed globalization expert Professor Pankaj Ghemawat together with Steven A. Altman, shows that global connectedness, measured by cross-border flows of trade, capital, information and people, has recovered most of its losses incurred during the financial crisis. Especially the depth of international interactions – the proportion of interactions that cross national borders – gained momentum in 2013 after its recovery had stalled in the previous year. Nonetheless, trade depth, as a distinct dimension of globalization, continues to stagnate and the overall level of global connectedness remains quite limited, implying that there could be gains of trillions of US dollars if boosted in future years.
      • Февраль 2015
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 15 июля, 2015
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        The aim of this data set is to provide a snapshot of where countries stand in their cybersecurity engagement at the national level. The visions as seen by ABI Research and ITU is to promote cybersecurity awareness and the important role governments have to play in integrating appropriate mechanisms to both support and promote this crucial discipline. Safeguarding the integrity of cyberspace must involve the development of cybersecurity.
      • Декабрь 2015
        Источник: Global Democracy Ranking
        Загружен: Knoema
        Дата обращения к источнику: 06 января, 2016
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        The Democracy Ranking is an annual ranking of all democracies (country-based democracies) in the world by focusing on the Quality of Democracy in an international perspective. The Democracy Ranking publishes the ranking scores and displays ranking score increases or decreases over time. The Democracy Ranking is a ranking of the Quality of Democracy in the sense that the ranking scores should reflect a ranking of democracies according to their differing qualities; and the Democracy Ranking is a ranking for the Quality of Democracy, because it wants to contribute conceptually to how democracy quality may be measured as well as wants to support the awareness how important democracy quality is for the further development, reform and enhancement of democracies.
      • Декабрь 2011
        Источник: Global Facility for Disaster Reduction and Recovery
        Загружен: Knoema
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        Contains outcomes of post-disaster damage, loss, and needs assessments carried out by various international organizations following the Damage and Loss Assessment (DaLA) and/or Post-Disaster Needs Assessment (PDNA) methodologies.
      • Декабрь 2016
        Источник: Emission Database for Global Atmospheric Research
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        Emissions are calculated for the following substances: 1) Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2); 2) Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). 3) Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2). 4) Primary particulates: Fine Particulate Matter (PM10) - Carbonaceous speciation (BC , OC) is under progress. 5) Stratospheric Ozone Depleting Substances: Chlorofluorocarbons (CFC-11, 12, 113, 114, 115), Halons (1211, 1301, 2402), Hydrochlorofluorocarbons (HCFC-22, 124, 141b, 142b), Carbon Tetrachloride (CCl4), Methyl Bromide (CH3Br) and Methyl Chloroform (CH3CCl2). Emissions (EM) for a country C are calculated for each compound x on an annual basis (y) and sector wise (for i sectors, multiplying on the one hand the country-specific activity data (AD), quantifying the human activity for each of the i sectors, with the mix of j technologies (TECH) for each sector i, and with their abatement percentage by one of the k end-of-pipe (EOP) measures for each technology j, and on the other hand the country-specific emission factor (EF) for each sector i and technology j with relative reduction (RED) of the uncontrolled emission by installed abatement measure k. Emissions in are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics.
      • Март 2017
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2017
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        The Energy Architecture Performance Index (EAPI) uses a set of indicators to highlight the performance of various countries across each facet of their energy architecture, determining to what extent nations have been able to create affordable, sustainable and secure energy systems   1)Economic growth and development: The extent to which energy architecture supports, rather than detracts from, economic growth and development2) Environmental sustainability: The extent to which energy architecture has been constructed to minimize negative environmental externalities3) Energy access and security: The extent to which energy architecture is at risk of an energy security impact, and whether adequate access to energy is provided to all parts of the population   Note: For detail methodology please visit:"http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2017.pdf"
      • Март 2016
        Источник: Global Entrepreneurship Monitor
        Загружен: Knoema
        Дата обращения к источнику: 23 марта, 2016
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        The GEM Adult Population Survey (APS) measures the level and nature of entrepreneurial activity around the world. It is administered to a representative national sample of at least 2000 respondents.The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.  
      • Июнь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 18 января, 2017
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        The Global Financial Development Database is an extensive dataset of financial system characteristics for countries and group-wise economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability). For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihák, Asli Demirgüç-Kunt, Erik Feyen, and Ross Levine, 2012. Benchmarking Financial Systems Around the World.World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C. Concepts: The Kruskal-Wallis H test (sometimes also called the "one-way ANOVA on ranks") is a rank-based nonparametric test that can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable. The Z score method examines liquidity, profitability, reinvested earnings and leverage which are integrated into a single composite score. It can be used with past, current or projected data as it requires no external inputs such as GDP or Market Price. Z-Score Ratings cutoff scores used in classifications: AAA 8.15, AA 7.30, A 6.65 , BBB 5.85, BB 4.95, B 4.15, CCC 3.20, D 3.19
      • Апрель 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 18 июня, 2015
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        The Global Financial Inclusion Database provides 800 country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics-gender, age, education, income, and rural residence. Covering more than 140 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk. The reference citation for the data is: Demirguc-Kunt, Asli, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden. 2015. “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, DC. Note: 1: Variable [w1] refers to 2011 variables 2: Variable [w2] refers to 2014 variables 3: Variable [ts] refers to Time Series variables (2011, 2014)
      • Апрель 2016
        Источник: GFP
        Загружен: Knoema
        Дата обращения к источнику: 20 мая, 2016
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        Global Firepower (GFP) provides a unique analytical display of data concerning today's world military powers. Over 1000 world powers are considering in the ranking which allows for a broad spectrum of comparisons to be achieved concerning relative military strengths. The user should note that nuclear capability is not taken into account as that would defeat the purpose of such comparisons. Instead, the GFP ranking is based strictly on each nations potential conventional war-making capabilities across land, sea and air. The final ranking also incorporates values related to resources, finances and geography. Some statistics have been estimated where official numbers are not publicly available. The GFP ranking is based on a formula utilizing over fifty different factors, compiled and measured against each nation. Bonuses (ex: low oil consumption) and penalties (ex: high oil consumption) are applied to further refine the list. The finalized GFP value is recognized as the "Power Index" (PwrIndx) which supplies a nation its respective positioning in the rankings. Note : • Nuclear capability is NOT taken into account • Geographical factors influence every country's ranking • Ranking does not solely rely on total number of weapons available • Natural resource reliance (use/production) is taken into account • Land-locked nations are NOT penalized for lack of a standing navy • Naval powers ARE penalized for limited naval capabilities • Current political/military leadership is NOT taken into account
      • Июнь 2016
        Источник: Economist Intelligence Unit
        Загружен: Knoema
        Дата обращения к источнику: 18 августа, 2016
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        The Global Food Security Index 2016: An annual measure of the state of global food security, is the second edition of an Economist Intelligence Unit study, commissioned by DuPont.
      • Сентябрь 2015
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 05 октября, 2015
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        DescriptionThe Global Forest Resources Assessment 2015 (FRA 2015) is the most comprehensive assessment of forests and forestry to date - not only in terms of the number of countries and people involved - but also in terms of scope. It examines the current status and recent trends for about 90 variables covering the extent, condition, uses and values of forests and other wooded land, with the aim of assessing all benefits from forest resources. Information has been collated from 233 countries and territories for four points in time: 1990, 2000, 2005 and 2010. The results are presented according to the seven thematic elements of sustainable forest management. FAO worked closely with countries and specialists in the design and implementation of FRA 2010 - through regular contact, expert consultations, training for national correspondents and ten regional and subregional workshops. More than 900 contributors were involved, including 178 officially nominated national correspondents and their teams. The outcome is better data, a transparent reporting process and enhanced national capacity in developing countries for data analysis and reporting. The final report of FRA 2010 was published at the start of the latest biennial meeting of the FAO' Committee on Forestry and World Forest Week, in Rome.
      • Ноябрь 2016
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 02 декабря, 2016
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        This data set provides the Index benchmarks national gender gaps on economic, political, education and health criteria, and provides country rankings that allow for effective comparisons across regions and income groups. The rankings are designed to create greater awareness among a global audience of the challenges posed by gender gaps and the opportunities created by reducing them. The methodology and quantitative analysis behind the rankings are intended to serve as a basis for designing effective measures for reducing gender gaps. Score,1=No inequality, 0=Maximum inequality. Rank,1=Minimum inequality
      • Сентябрь 2016
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 14 декабря, 2016
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        The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others
      • Октябрь 2016
        Источник: International Food Policy Research Institute
        Загружен: Knoema
        Дата обращения к источнику: 10 января, 2017
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        The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally, regionally, and by country. Each year, the International Food Policy Research Institute (IFPRI) calculates GHI scores in order to assess progress, or the lack thereof, in decreasing hunger. The GHI is designed to raise awareness and understanding of regional and country differences in the struggle against hunger. Since 2015, GHI scores have been calculated using a revised and improved formula. The revision replaces child underweight, previously the sole indicator of child undernutrition, with two indicators of child undernutrition—child wasting and child stunting—which are equally weighted in the GHI calculation. The revised formula also standardizes each of the component indicators to balance their contribution to the overall index and to changes in the GHI scores over time. The 2016 GHI has been calculated for 118 countries for which data on the four component indicators are available and where measuring hunger is considered most relevant. GHI scores are not calculated for some higher income countries where the prevalence of hunger is very low. The GHI is only as current as the data for its four component indicators. This year's GHI reflects the most recent available country-level data and projections available between 2011 and 2016. It therefore reflects the hunger levels during this period rather than solely capturing conditions in 2016. The 1992, 2000, 2008, and 2016 GHI scores reflect the latest revised data for the four component indicators of the GHI. Where original source data were not available, the estimates of the GHI component indicators were based on the most recent data available. The four component indicators used to calculate the GHI scores draw upon data from the following sources: 1. Undernourishment: Updated data from the Food and Agriculture Organization of the United Nations (FAO) were used for the 1992, 2000, 2008, and 2016 GHI scores. Undernourishment data and projections for the 2016 GHI are for. 2. Child wasting and stunting: The child undernutrition indicators of the GHI—child wasting and child stunting—include data from the joint database of United Nations Children's Fund (UNICEF), the World Health Organization (WHO), and the World Bank, and additional data from WHO's continuously updated Global Database on Child Growth and Malnutrition; the most recent Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) reports; and statistical tables from UNICEF. For the 2016 GHI, data on child wasting and child stunting are for the latest year for which data are available in the period. 3. Child mortality: Updated data from the UN Inter-agency Group for Child Mortality Estimation were used for the 1992, 2000, 2008, and 2016 GHI scores. For the 2016 GHI, data on child mortality are from 2015.   Note: Values for the years are taken as per below table.1Global Hunger Index Scores2Proportion of Undernourished in the Population (%)3Prevalence of Stunting in Children Under Five Years (%)4Prevalence of Wasting in Children Under Five Years(%)5Prevalence of underweight in children under five years (%)6Under-five Mortality  Rate(%)                                                                                    Indicators12345DateRangeDateRangeDateRangeDateRangeDateRange19941990-199419931991-199319941990-199419941990-199419921988-199219981994-199819921990-199219921988-199219921988-199219971993-199720021998-200219961994-199619971993-199719971993-199719981994-199820031999-200319971995-199720021998-200220021998-200220021998-200220072002-200720011999-200120072003-200720072003-200720031999-200320082003-200820022000-200220102006-201020102006-201020052000-200520092004-200920032001-200320142010-201420142010-201420062001-200620102006-201020042002-200420152011-201520152011-201520072003-200720132009-201320052003-2005    20082003-200820162011-201620062004-2006    20102005-2010  20082006-2008    20132009-2013  20092007-2009        20132011-2013        20162014-2016       * 6. "Under-five Mortality  Rate(%)" year range has not been specified in source. GHI Severity Scale≤ 9.9 low10.0–19.9 moderate20.0–34.9 serious35.0–49.9 alarming50.0 ≤ extremely alarming
      • Июль 2016
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 13 января, 2017
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        This Dataset contains proprietary and non-proprietary data used in the computation of the World Economic's Forum Networked Readiness Index. By making this data available, the Forum aims to inform multi-stakeholder dialogue, foster evidence-based, data-driven decisions, allow measuring progress, and support research by academia, journalists and others.
      • Сентябрь 2016
        Источник: Global Innovation Index
        Загружен: Knoema
        Дата обращения к источнику: 12 января, 2017
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        The Global Innovation Index (The overall GII score is the simple average of the Input and Output Sub-Index scores) aims to capture the multi-dimensional facets of innovation and provide the tools that can assist in tailoring policies to promote long-term output growth, improved productivity, and job growth. The GII helps to create an environment in which innovation factors are continually evaluated. It provides a key tool and a rich database of detailed metrics for 141 economies this year, which represent 95.1% of the world’s population and 98.6% of global GDP. The Innovation Efficiency Ratio is calculated as the ratio of the Output Sub-Index score over the Input Sub-Index score. It is designed to assess the effectiveness of innovation systems and policies. The countries with the highest Innovation Efficiency Ratios are countries that combine certain levels of innovation inputs with more robust output.
      • Май 2016
        Источник: Internal Displacement Monitoring Centre
        Загружен: Knoema
        Дата обращения к источнику: 18 мая, 2016
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        Global Internal Displacement Database (GIDD) aims to provide comprehensive information on internal displacement worldwide. It covers all countries and territories for which IDMC has obtained data on situations of internal displacement, and provides data on situations of internal displacement associated with conflict and generalized violence (2014-2015), displacement associated with sudden-onset natural hazard-related disasters (2008-2015).
      • Февраль 2016
        Источник: Material Flows
        Загружен: Knoema
        Дата обращения к источнику: 14 июня, 2016
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      • Декабрь 2015
        Источник: Global Open Data Index
        Загружен: Knoema
        Дата обращения к источнику: 20 июля, 2016
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      • Декабрь 2016
        Источник: Milken Institute
        Загружен: Knoema
        Дата обращения к источнику: 06 января, 2017
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        Global Opportunity Index provides information that is vital to investors and policymakers. It helps government to pursue policies which can be helpful to attract foreign direct investment (FDI), expand their economies and accelerate job creation. It also help companies to explore FDI opportunities. Moreover, the index provides a baseline assessment for countries seeking to improve their business environments and attract foreign investors, the kind that commit capital to strategic projects rather than move it around as a fleeting portfolio tactic. Note: Composite Score (CS) is an average score of following indicators:a). Economic Fundamentals (EF)b). Ease of Doing Business (ED)c). Quality of Regulations (QR)d). Rule of Law (RL)Calculation of CS=( EF+ ED+ QR+ RL)/4Countries are ranked on basis of composite score (CS). For 2015, countries are also ranked on the basis of scores of individual indicators (EF, ED, QR and RL).Weighted Rank (WR) is average rank of following indicators:a). Financial Services (FS)b). Institutional Framework (IF)c). Economic Fundamental (EF)d). International Standard and Policy (IS)e). Business Perception (BP)Calculation of WR=( FS+ IF+ EF+ IS+ BP)/5
      • Июнь 2016
        Источник: Institute for Economics and Peace
        Загружен: Knoema
        Дата обращения к источнику: 25 июля, 2016
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        The 2016 Global Peace Index overall score deteriorated slightly compared with 2015, and at a faster rate than the previous year. Once again, the Middle East and North Africa (MENA) was the region that saw its levels of peace deteriorate the most. Four regions scored worse than the previous year, while three other regions improved and two remained the same.
      • Май 2017
        Источник: GlobalPetrolPrices.com
        Загружен: Knoema
        Дата обращения к источнику: 16 мая, 2017
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        Data is getting collected Every Tuesday evening from the Global Petrol Prices website. Weekly Average data is available from 28-Dec-2015 onward. Monthly average price is available for the period of January, 2013 - July, 2013   Data cited at: Global Petrol Prices web site
      • Май 2014
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Kirill Kosenkov
        Дата обращения к источнику: 27 августа, 2015
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        Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013. Comparable estimates based on systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports, using mixed effects linear regression to correct for bias in self-reports. Data for prevalence of obesity and overweight by age, sex, country, and year (n=19 244) obtained with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Research by the staff of the Institute for Health Metrics and Evalutaion with co-authors. Published online 28 May 2014, "The Lancet" Volume 384, No. 9945, p766–781. DOI: http://dx.doi.org/10.1016/S0140-6736(14)60460-8
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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        Contains global production statistics (capture and aquaculture). This database contains the volume of aquatic species caught by country or area, by species items, by FAO major fishing areas, and year, for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included
      • Апрель 2014
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 20 мая, 2016
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        Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
      • Декабрь 2015
        Источник: INSEAD
        Загружен: Knoema
        Дата обращения к источнику: 24 октября, 2016
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        55This data presents high-level way of mapping individual countries in terms of talent competitiveness consists of comparing their GTCI scores to their GDP per capita for the selected indicators.In its first year, the GTCI model covers 103 countries,representing 86.3% of the world’s population and 96.7% of the world’s GDP (in current US dollars).It is a simplified manner of acquiring a first assessment about the ways in which competitiveness relates to overall level of economic development of a nation.
      • Июнь 2016
        Источник: KPMG
        Загружен: Knoema
        Дата обращения к источнику: 26 сентября, 2016
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        Covers data on corporate, indirect and individual income tax rates throughout 163 countries across the world during the period from 2006 to 2016. Provided by KPMG.
      • Ноябрь 2016
        Источник: Institute for Economics and Peace
        Загружен: Knoema
        Дата обращения к источнику: 29 ноября, 2016
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        The Global Terrorism Index (GTI) is a comprehensive study which accounts for the direct and indirect impact of terrorism in 163 countries in terms of its effect on lives lost, injuries, property damage and the psychological aftereffects of terrorism. This study covers 99.6 per cent of the world’s population. It aggregates the most authoritative data source on terrorism today, the Global Terrorism Database (GTD) collated by the National Consortium for the Study of Terrorism and Responses to Terrorism (START) into a composite score in order to provide an ordinal ranking of nations on the negative impact of terrorism. The GTD is unique in that it consists of systematically and comprehensively coded data on domestic as well as international terrorist incidents and now includes more than 140,000 cases. Note: "Change in score values" have been calculated for 2015 by score in 2015 minus score in 2014 (Score_2015-Score_2014). For rest of the years according to source.
      • Январь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 21 июля, 2016
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      • Декабрь 2014
        Источник: World Wide Web Foundation
        Загружен: Knoema
        Дата обращения к источнику: 04 апреля, 2016
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        The Web has changed our lives. But to harness its full benefit, we need to understand how countries and people use it, and its impact on on development and human rights. The Web Index, by the World Wide Web Foundation, tracks the Web’s contribution to social, economic and political progress across 86 countries. It ranks these nations across four pillars: Universal Access, Freedom and Openness, Empowerment and Relevant Content.
      • Июль 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 сентября, 2016
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        This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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        This table shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP). Normalized trade balance of goods and services is defined as the trade balance (total exports less total imports) divided by the total trade (exports plus imports).  
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 01 декабря, 2016
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        This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
      • Август 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 августа, 2014
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        This table shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP).
      • Август 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 28 августа, 2014
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        This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
      • Апрель 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 12 июля, 2016
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        This dataset contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicator bring together the OECD's statistics, indicators and measures of progress. The dataset covers OECD countries as well as BRIICS economies (Brazil, Russian Federation, India, Indonesia, China and South Africa), and selected countries when possible. The indicators are selected according to well specified criteria and embedded in a conceptual framework, which is structured around four groups to capture the main features of green growth: Environmental and resource productivity, to indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks; The natural asset base, to indicate the risks to growth from a declining natural asset base; Environmental quality of life, to indicate how environmental conditions affect the quality of life and wellbeing of people; Economic opportunities and policy responses, to indicate the effectiveness ofpolicies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.
      • 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.
      • Октябрь 2015
        Источник: bq magazine
        Загружен: Knoema
        Дата обращения к источнику: 11 апреля, 2016
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        Gulf Dataset 2015 includes below Topics. 1. The Arab World Online 2014: Trends in Internet and Mobile Usage in the Arab Region http://img.b8cdn.com/images/uploads/article_docs/en_gip-mbrsg_bayt_internet_final_20422_EN.pdf 2. Just Falafel Index 2015: Given the popularity and convenience of the Big Mac Index by The Economist, bqdoha.com devised a similar, but more local, solution/version for currency valuation. http://www.bq-magazine.com/magazine-content/2015/01/just-falafel-index 3. CO2 emissions in GCC countries 2014 http://www.bq-magazine.com/gcc-illustrated/2014/08/co2-emissions-gcc-countries 4. Satisfaction with access to quality healthcare in the GCC http://www.bq-magazine.com/gcc-illustrated/2014/07/healthcare-access-gcc
    • 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 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 24 мая, 2017
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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 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 30 декабря, 2016
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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 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).
      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 10 января, 2017
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        This dataset provides population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and gender and cover approximately 200 economies.
      • Июль 2014
        Источник: Central Statistical Organisation Yemen
        Загружен: Knoema
        Дата обращения к источнику: 13 октября, 2015
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      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 08 ноября, 2016
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      • Май 2017
        Источник: ClinicalTrials.gov
        Загружен: Knoema
        Дата обращения к источнику: 03 мая, 2017
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        ClinicalTrials.gov currently lists 243,354 studies with locations in all 50 States and in 200 countries. As of February 2017, ClinicalTrials.gov receives an average of more than 199 million page views per month and 76,000 unique visitors daily.
      • Май 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 07 октября, 2016
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        The Historical Public Debt Database contains unbalanced panel data on Gross Domestic Product Gross Government Debt and Gross Government Debt-to-GDP Ratio for 187 countries. The series spans the years 1800 through 2015 although each country’s data depends on its date of independence and data availability. The database was constructed by bringing together a number of other datasets and information from original sources. For the most recent years the data are linked to the IMF World Economic Outlook (WEO) database to facilitate regular updates.
      • Декабрь 2010
        Источник: Maddison Project
        Загружен: Knoema
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        Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
      • Февраль 2017
        Источник: United Nations Development Programme
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
    • I
      • Сентябрь 2016
        Источник: International Centre for Tax and Development
        Загружен: Knoema
        Дата обращения к источнику: 21 сентября, 2016
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        A major obstacle to cross-country research on the role of revenue and taxation in development has been the weakness of available data. Government Revenue Dataset (GRD), developed through the International Centre for Tax and Development (ICTD), is aimed at overcoming this obstacle. It meticulously combines data from several major international databases, as well as drawing on data compiled from all available International Monetary Fund (IMF) Article IV reports. It achieves marked improvements in data coverage and accuracy, including a standardized approach to revenue from natural resources, and holds the promise of significant improvement in the credibility and robustness of research in this area. Dataset contains Central, General and merged government revenue data reported as % of GDP.
      • Июнь 2016
        Источник: International Development Association
        Загружен: Knoema
        Дата обращения к источнику: 06 июня, 2016
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        The World Bank’s IDA Resource Allocation Index (IRAI) is based on the results of the annual CPIA exercise that covers the IDA eligible countries. The CPIA rates countries against a set of 16 criteria grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The criteria are focused on balancing the capture of the key factors that foster growth and poverty reduction, with the need to avoid undue burden on the assessment process. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IRAI.
      • Апрель 2017
        Источник: International Energy Agency
        Загружен: Knoema
        Дата обращения к источнику: 10 мая, 2017
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      • Февраль 2011
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Knoema
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        IHME results from paper, Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis, published online in The Lancet on April 30 2010. This dataset provides global estimates of adult mortality risk, 45q15 (probability of death between the ages of 15 years and 60 years), between 1970 and 2010.
      • Февраль 2011
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Knoema
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        IHME results from paper, Neonatal, post neonatal, childhood, and under-5 mortality for 187 countries, 1970-2010: a systematic analysis of progress towards Millennium Development Goal 4, published online in The Lancet on May 24 2010. This dataset provides estimates of neonatal, post neonatal, childhood, and under-5 mortality for 187 countries between 1970 and 2010.
      • Декабрь 2010
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Knoema
        Дата обращения к источнику: 31 июля, 2013
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        IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
      • Сентябрь 2011
        Источник: Institute for Health Metrics and Evaluation
        Загружен: Knoema
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        IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
      • Декабрь 2010
        Источник: Institute for Health Metrics and Evaluation
        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.
      • Апрель 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 мая, 2017
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        The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year. Use this database to find data on national accounts, inflation, unemployment rates, balance of payments, fiscal indicators, trade for countries and country groups (aggregates), and commodity prices whose data are reported by the IMF. Data are available from 1980 to the present, and projections are given for the next two years. Additionally, medium-term projections are available for selected indicators. For some countries, data are incomplete or unavailable for certain years.   Changes to the April 2017 DatabaseFrom December 2016 to January 2017, the Economic and Social Research Institute (ESRI) of Japan’s Cabinet Office released the results of the latest quinquennial benchmark year revision for the Japanese National Accounts. This comprehensive revision consisted of (i) incorporating large-scale, detailed source statistics, including the compilation of the 2011 Input-Output Tables; (ii) updating the reference year from 2005 to 2011; (iii) improving several estimation methodologies, including for measuring construction output; and (iv) updating definitions and classifications, in particular, implementing the 2008 System of National Accounts (2008 SNA). With this revision, the Japanese national accounts describe more accurately the evolution of the economy. The most significant change resulted from the implementation of the 2008 SNA. For instance, for the past three years (2013-15), the level of nominal GDP was revised upward by 5.0–6.3 percent, of which 4.3–4.8 percent was accounted for by the implementation of the 2008 SNA, including capitalization of research and development. The increase in GDP for the most recent year (2015) resulted not only from the benchmark year revision, but also from the incorporation of more detailed source statistics. Real GDP growth rates were also revised retrospectively. The mean absolute revision for the past 21 years (1995–2015) was relatively modest (0.4 percentage point), while the growth rates for the past three years were revised upward by 0.4–0.6 percentage point. The revisions of the annual rate of change of the GDP deflator were relatively limited, with a mean absolute revision of 0.1 percentage point, and do not change significantly the evolution of prices previously published for Japan.Nauru is the latest country added to the WEO data-base, expanding it to a total of 192 countries.Belarus redenominated its currency by replacing 10,000 old Belarusian rubles with 1 new Belarusian ruble. Local currency data for Belarus are expressed in the new currency starting with the April 2017 WEO database.
      • 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 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 23 мая, 2017
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        The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing. The global economy is undergoing major transformations,including a productivity slowdown, technological change, and global economic integration. This creates new demands for public policies to facilitate these transformations, while cushioning the effect on those negatively affected. Fiscal policy has a greater role to play in fostering sustainable and inclusive growth. At the same time, the high degree of uncertainty surrounding the outlook as well as stretched government balance sheets require a better understanding and management of risks. Fiscal policy therefore has the difficult task of achieving more and better in a more constrained environment.
      • Декабрь 2014
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 12 апреля, 2017
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        The Government Finance Statistics  http://www.imf.org/external/pubs/ft/gfs/manual/aboutgfs.htm
      • Ноябрь 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        BOPSY Global Tables aggregates country data by major balance of payments components and by international invetment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides a comprehensive view of government expense, including detailed classifications of compensation of employees, use of goods and services, consumption of fixed capital, interest payable, subsidies payable, grants payable, social benefits, and other expense.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterparty claim belongs. The counterpart sectors include nonfinancial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in nonfinancial assets – a component of total expenditure – on its components and related stock positions are provided.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
      • Январь 2017
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        This dataset provides an overview of government’s cash flows, as summarized in the Statement of Sources and Uses of Cash, for those countries compiling GFS on a noncash basis (for example, an accrual basis) and are also including a cash flow statement.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 27 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
      • Август 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 августа, 2014
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        This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
      • Июнь 2016
        Источник: U.S. Department of Homeland Security
        Загружен: Knoema
        Дата обращения к источнику: 10 сентября, 2016
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      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The allocation of bilateral intermediate imports across using industries assumes that import coefficients are the same for all trade partners, i.e. SHAREipkt is identical across exporter countries. Hence, the bilateral pattern of imported intermediates from industry p is the same across all using industries k. However, it is different from the bilateral pattern of total imports from industry p because trade data (measured by VALUEijpt) allows distinguishing bilateral imports of intermediates from final good imports in industry p. While the BEC classification enables the identification of intermediate goods, no similar classification is available for trade in services, due to the high level of aggregation in services trade data. While goods trade data are based on customs declarations allowing the identification of goods at a highly disaggregated level, services trade data are based on a variety of information such as business accounts, administrative sources, surveys, and estimation techniques (Manual on Statistics of International Trade in Services, 2002). Hence, in the case of trade in services, VALUEijpt is the total value of imports of service p, i.e. both final and intermediate (and not only services that are used in the production of other goods and services, as in the case of goods data). By making an additional assumption and adjusting SHAREipkt, it is however possible to calculate trade in intermediate services. In the case of services imports, SHAREipkt is the share of imported service inputs p used by industry k in total imports of p of country i. In the case of services, besides the assumption that all trading partners have the same distribution of intermediate imports p across using industries k, it is furthermore required that the share of intermediate services in overall bilateral services imports of country i is the same across all partner countries j. Finally, it should be mentioned that trade data reported in the trade statistics do not fully match imports as reported in I-O tables. One main reason is that while trade data is recorded at consumer prices, I-O tables are evaluated at producer prices. There are also other differences such as the treatment of re-exports, scrap metal, waste products and second hand goods or unallocated trade data.
      • Декабрь 2016
        Источник: Heritage Foundation
        Загружен: Knoema
        Дата обращения к источнику: 14 марта, 2017
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        Economic freedom is the fundamental right of every human to control his or her own labor and property. In an economically free society, individuals are free to work, produce, consume, and invest in any way they please, with that freedom both protected by the state and unconstrained by the state. In economically free societies, governments allow labor, capital and goods to move freely, and refrain from coercion or constraint of liberty beyond the extent necessary to protect and maintain liberty itself.
      • Июль 2016
        Источник: United Nations Industrial Development Organization
        Загружен: Knoema
        Дата обращения к источнику: 22 августа, 2016
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        The UNIDO Industrial Statistics Database at the 4-digit level of ISIC (INDSTAT4) contains highly disaggregated data on the manufacturing sector for the period 1990 onwards. Comparability of data over time and across the countries has been the main priority of developing and updating this database. INDSTAT4 offers a unique possibility of in-depth analysis of the structural transformation of economies over time. The database contains seven principle indicators of industrial statistics. The data are arranged at the 3- and 4-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3 and 4 pertaining to the manufacturing, which comprises more than 150 manufacturing sectors and sub-sectors.   Note: Value added and Employnment indicators were extracted from   http://www.unido.org/Data1/IndStatBrief/E_Employement_Wages_and_Employment_Share_per_Sector.cfm?print=no&ttype=C4&Country=ALB&sortBy=&sortDir=&Group=
      • Июль 2016
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 10 ноября, 2016
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      • Март 2016
        Источник: UNESCO Institute for Statistics
        Загружен: Knoema
        Дата обращения к источнику: 30 марта, 2016
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      • Октябрь 2010
        Источник: Japan Apparel Technology and Research Association
        Загружен: Knoema
        Дата обращения к источнику: 31 августа, 2016
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        The Japan Apparel Industrial Association
      • Декабрь 2014
        Источник: 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.
      • Декабрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 05 марта, 2016
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        Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
      • Июнь 2015
        Источник: Barro-Lee
        Загружен: Knoema
        Дата обращения к источнику: 29 сентября, 2015
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        The Barro-Lee Data set (2010) extends their previous estimates from 1950 to 2010, and provide more, improved data disaggregated by sex and and by 5-year age intervals. It provides educational attainment data for 146 countries in 5-year intervals from 1950 to 2010 as well as information about the distribution of educational attainment of the adult population over age 15 and over age 25 by sex at seven levels of schooling. Average years of schooling at all levels are also measured for each country and for regions in the world. Note: Cited at Barro, Robert and Jong-Wha Lee, April 2010, "A New Data Set of Educational Attainment in the World, 1950-2010." NBER Working Paper No. 15902
      • Декабрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 28 декабря, 2016
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        Focuses on financial flows, trends in external debt, and other major financial indicators for developing and advanced economies (data from Quarterly External Debt Statistics and Quarterly Public Sector Debt databases). Includes over 200 time series indicators from 1970 to 2015, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2023. Note: Total reserves in months of imports=(Total reserves/Total Imports)*12
      • Апрель 2017
        Источник: U.S. Energy Information Administration
        Загружен: Knoema
        Дата обращения к источнику: 03 мая, 2017
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      • Апрель 2017
        Источник: U.S. Energy Information Administration
        Загружен: Knoema
        Дата обращения к источнику: 05 апреля, 2017
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        Data by country, region, for 217 countries including total and crude oil production, oil consumption, natural gas production and consumption, coal production and consumption, electricity generation and consumption, primary energy, energy intensity, CO2 emissions and imports and exports for all fuels.
      • Август 2014
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 02 сентября, 2015
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        This data set contains estimates of total and marginal budget shares and income and price elasticities for nine broad consumption groups and eight food subgroups across 144 countries. Total and marginal budget shares and income and price elasticities are estimated using 2005 International Comparison Program (ICP) data, which is maintained by the ICP Development Data Group of the World Bank
      • Июль 2016
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 13 июля, 2016
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        This dataset is the basis for the International Food Security Assessment 2016-2026 released in June 2016. 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.
      • 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).
      • Декабрь 2016
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        This data set includes historical and projected annual data for real gross domestic product (GDP), population, real exchange rates, consumer price indices (CPIs) and GDP deflators for 189 countries, 37 regional aggregates, and 12 income-based aggregates of the world economy. The data are all measured in or centered on real 2010 dollar values. The data are organized by region in spreadsheets that are identical except for the variable name. The historical data and projections are updated annually.
      • Декабрь 2015
        Источник: United Nations Development Programme
        Загружен: Knoema
        Дата обращения к источнику: 30 августа, 2016
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        The estimates are based on official statistics on the foreign-born or the foreign population, classified by sex, and age. Most of the statistics utilised to estimate the international migrant stock were obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants.
      • Апрель 2014
        Источник: United Nations Development Programme
        Загружен: Knoema
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        The estimates are based on official statistics on the foreign-born or the foreign population, classified by sex, and age. Most of the statistics utilised to estimate the international migrant stock were obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants.
      • Январь 2017
        Источник: Property Rights Alliance
        Загружен: Knoema
        Дата обращения к источнику: 04 января, 2017
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        In order to make it possible to defend both physical and intellectual property rights of people, the Property Rights Alliance developed an instrument allowing comparison between the nations by relative strengths of property rights they provide for their citizens. This instrument, the International Property Rights Index, is published since 2007 helping policymakers to make better decisions. The Index comprises 130 countries, comparing them by three core variables, that affect the resulting index, namely country's legal and political environment, recognition and enforcement of physical and intellectual property rights.The overall grading scale of the IPRI ranges from 0 to 10, where 10 is the highest value for a property rights system and 0 is the lowest value (i.e. most negative) for a property rights system within a country..
      • 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.
      • Декабрь 2016
        Источник: Federal Communications Commission
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2017
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      • Ноябрь 2016
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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        As a United Nations agency, the ITU has an obligation to identify, define, and produce statistics covering its sector - the telecommunication/ICT sector. This is in line with other specialized agencies that publish statistics covering their respective field of operations and forms part of the global statistical system of the UN. The collection of over 100 telecommunication/ICT indicators is one of the main activities of the unit. The ITU's Market Information and Statistics (STAT) Division collects its Telecommunication/ICT data directly form governments by means of an annual questionnaire that is sent to the government agency in charge of telecommunications/ICT. This is usually the Ministry or the regulatory agency. The STAT Division verifies and harmonizes data, carries out research, and collects missing values from government web sites and operators' annual reports, particularly for countries that do not reply to the questionnaire. Market research data are also used to cross-check and complement missing values.
      • Октябрь 2015
        Источник: Water FootPrint Network
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2015
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      • Ноябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 24 ноября, 2016
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        Internet users are individuals who have used the Internet (from any location) in the last 12 months. Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
      • Декабрь 2012
        Источник: Internet World Stats
        Загружен: Knoema
        Дата обращения к источнику: 11 сентября, 2013
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        Internet World Stats is an International website that features up to date world Internet Usage, Population Statistics, Travel Stats and Internet Market Research Data, for over 233 individual countries and world regions.
      • Июнь 2012
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 28 июля, 2015
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        The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
      • Ноябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        Data are collected directly from countries using a FAO questionnaire, which was developed in partnership with the International Monetary Fund, as the IMF collects global data on government expenditures and is the international organization responsible for developing guidelines on the Classification of Functions of Government (COFOG). The FAO questionnaire obtains additional detail relevant to Agriculture and Rural Development not available from the IMF questionnaire. The FAO dataset consists of a time series, from 2000 onwards, of government expenditures in terms of expenditures in: (1) Total; (2) Economic affairs; (3) Agriculture, Forestry, Fishing and Hunting, along with its three dis aggregated sub sectors of Agriculture, Forestry and Fishing; and 4) Environmental Protection. In addition, expenditures in each detailed function are further disaggregated into recurrent and capital expenditures, the latter of which serves as a proxy for expenditures in investment goods. Additional indicators include the total share of government expenditures allocated to agriculture, and an agriculture orientation index (ratio of the total share of government expenditures to agriculture, over the total share of GDP from agricultural value-added). Though the goal is to have complete and consistent coverage for all countries, relatively low response rates for this new domain and country level differences in data collection and reporting creates some challenges in providing a complete and consistent global dataset.
      • Август 2014
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        FAOSTAT database on Agriculture Machinery provides statistical series on Agricultural Machinery and Equipment statistical series referring to the following items: tractors, harvesters and threshers, irrigation pumps, milking machines, hand tools, and soil machines. The database includes estimates of agriculture machinery in use and value of import and export of agriculture machinery.
      • Декабрь 2006
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 декабря, 2016
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      • Декабрь 2015
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 25 марта, 2016
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        This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 15 июля, 2016
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        This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 ноября, 2016
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        This table contains information on foreign direct investment (FDI) inflows and outflows by individual country, geographical region and economic grouping, expressed in millions of dollars. Additional calculations present: FDI world shares, FDI values per capita, and FDI percentage ratios with respect to GDP, gross fixed capital formation (GFCF), and total exports and imports of merchandise and services. This table also contains information on foreign direct investment (FDI) inward and outward stock by individual country, geographical region and economic grouping, expressed in millions of dollars, as FDI world shares, as FDI values per capita, and as FDI percentage ratios with respect to GDP
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2014
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        The IPP.Stat is the statistics portal of the Innovation Policy Platform containing the main available indicators relevant to a country’s innovation performance. In addition to the traditional indicators used to monitor innovation, the range of the coverage to be found in the IPP.Stat calls for the inclusion of indicators from other domains that describe the broader national and international context in which innovation occurs. Indicators are sourced primarily from the OECD and the World Bank, as well as from other sources of comparable quality. The statistics portal is still under development.
    • J
      • Сентябрь 2016
        Источник: Ministry of Economy, Trade and Industry of Japan
        Загружен: Knoema
        Дата обращения к источнику: 20 сентября, 2016
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        Annual Report 2014 Petroleum Data in Japan. Natural Gas and Crude Oil (Annual Comodities: Production, Shipment and Inventory).
      • Апрель 2017
        Источник: Petroleum Association of Japan
        Загружен: Knoema
        Дата обращения к источнику: 11 апреля, 2017
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        Monthly data on crude oil imports by country and by oil type in Japan. Jan 2015 to October 2016.
      • Май 2017
        Источник: Petroleum Association of Japan
        Загружен: Knoema
        Дата обращения к источнику: 18 мая, 2017
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        Monthly data on Oil Products Imports (by country) in Japan. January 2015 to February 2017.
      • Февраль 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 20 марта, 2017
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        The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
    • K
      • Январь 2011
        Источник: United Nations Office on Drugs and Crime
        Загружен: Karolina Kalkowska
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      • Январь 2011
        Источник: United Nations Office on Drugs and Crime
        Загружен: Karolina Kalkowska
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      • Январь 2012
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 26 августа, 2013
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        The World Bank’s Knowledge Assessment Methodology (KAM: www.worldbank.org/kam) is an online interactive tool that produces the Knowledge Economy Index (KEI)–an aggregate index representing a country’s or region’s overall preparedness to compete in the Knowledge Economy (KE). The KEI is based on a simple average of four subindexes, which represent the four pillars of the knowledge economy:  Economic Incentive and Institutional Regime (EIR)  Innovation and Technological Adoption  Education and Training  Information and Communications Technologies (ICT) Infrastructure The EIR comprises incentives that promote the efficient use of existing and new knowledge and the flourishing of entrepreneurship. An efficient innovation system made up of firms, research centers, universities, think tanks, consultants, and other organizations can tap into the growing stock of global knowledge, adapt it to local needs, and create new technological solutions. An educated and appropriately trained population is capable of creating, sharing, and using knowledge. A modern and accessible ICT infrastructure serves to facilitate the effective communication, dissemination, and processing of information.
    • L
      • Июль 2014
        Источник: Central Statistical Organisation Yemen
        Загружен: Knoema
        Дата обращения к источнику: 09 октября, 2015
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      • Декабрь 2016
        Источник: Legatum Institute
        Загружен: Knoema
        Дата обращения к источнику: 06 февраля, 2017
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        The Prosperity Index is the only global measurement of national success based on both income and wellbeing. Our econometric analysis has identified 89 variables, which are spread across eight sub-indices. By measuring prosperity holistically we are able to identify and analyse the specific factors that contribute to the success of a country.
      • Апрель 2017
        Источник: Bank for International Settlements
        Загружен: Knoema
        Дата обращения к источнику: 26 апреля, 2017
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        Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty
      • Март 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 13 октября, 2016
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        The Logistics Performance Index overall score reflects assessments of a country's logistics based on efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2011 round of surveys covered more than 6,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluated eight markets on six core dimensions using a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Connecting to Compete 2012: Trade Logistics in the Global Economy (2012).
      • Июнь 2015
        Источник: United Nations Economic Commission for Europe
        Загружен: Knoema
        Дата обращения к источнику: 20 октября, 2015
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      • Июнь 2015
        Источник: United Nations Economic Commission for Europe
        Загружен: Knoema
        Дата обращения к источнику: 20 октября, 2015
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    • M
      • Апрель 2016
        Источник: Islamic Development Bank
        Загружен: Knoema
        Дата обращения к источнику: 28 сентября, 2016
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      • Август 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 09 февраля, 2017
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        The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 30 декабря, 2016
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        GHG emissions from manure applied to soils consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) added to agricultural soils by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the application site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding and market) and turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and activity data (N content in manure) are also provided.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 февраля, 2017
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        GHG emissions from manure left on pastures consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) left on pastures by grazing livestock. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as direct, indirect and total Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and N content in manure are also provided.
      • Июль 2014
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2014
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        The Maritime Transport Costs (MTC)database contains data from 1991 to the most recent available year of bilateral maritime transport costs. Transport costs are available for 43 importing countries (including EU15 countries as a custom union) from 218 countries of origin at the detailed commodity (6 digit) level of the Harmonized System 1988. This dataset should only be used in conjunction with the paper Clarifying Trade Costs in Maritime Transport which outlines methodology, data coverage and caveats to its use. Key Statistical Concept Import charges represent the aggregate cost of all freight, insurance and other charges (excluding import duties) incurred in bringing the merchandise from alongside the carrier at the port of export and placing it alongside the carrier at the first port of entry in the importing country. Insurance charges are therefore included in the transport cost variables and are estimated to be approximately 1.5% of the import value of the merchandise.
      • Декабрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 08 декабря, 2015
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      • Декабрь 2016
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 09 января, 2017
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        Measuring the information society report presents a global overview of the latest developments in information and communication technologies (ICTs), based on internationally comparable data and agreed methodologies. It aims to stimulate the ICT policy debate in ITU Member States by providing an objective assessment of countries’ performance in the field of ICT and by highlighting areas that need further improvement. The ICT Development Index (IDI) is a composite index that combines 11 indicators into one benchmark measure. It is used to monitor and compare developments in information and communication technology (ICT) between countries and over time. The IDI is divided into the following three sub-indices, and a total of 11 indicators: Access sub-index: This sub-index captures ICT readiness, and includes five infrastructure and access indicators (fixed-telephone subscriptions, mobile-cellular telephone subscriptions, international Internet bandwidth per Internet user, households with a computer, and households with Internet access). Use sub-index: This sub-index captures ICT intensity, and includes three intensity and usage indicators (individuals using the Internet, fixed broadband subscriptions, and mobile-broadband subscriptions). Skills sub-index: This sub-index seeks to capture capabilities or skills which are important for ICTs. It includes three proxy indicators (mean years of schooling, gross secondary enrolment, and gross tertiary enrolment). As these are proxy indicators, rather than indicators directly measuring ICT-related skills, the skills sub-index is given less weight in the computation of the IDI than the other two sub-indices. The data has been normalized to ensure that the data set uses the same unit of measurement. The values for the indicators selected to construct the IDI are converted into the same unit of measurement, since some indicators have maximum value as 100 whereas for other indicators the maximum value exceeds 100 After normalizing the data, the individual series were all rescaled to identical ranges, from 1 to 10.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 07 марта, 2017
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        This Dataset provides information on number of exported/imported products, concentration and diversification indices by country. The concentration index shows how exports and imports of individual countries or group of countries are concentrated on several products or otherwise distributed in a more homogeneous manner among a series of products. The diversification index signals whether the structure of exports or imports by product of a given country or group of countries differ from the structure of product of the world.1. Concentration index:Concentration index, also knows as Herfindahl-Hirschmann Index (Product HHI), is a measure of the degree of product concentration. An index value closer to 1 indicates a country's exports or imports are highly concentrated on a few products. On the contrary, values closer to 0 reflect exports or imports are more homogeneously distributed among a series of products.2. Diversification index:The diversification index is computed by measuring the absolute deviation of the trade structure of a country from world structure. The diversification index takes values between 0 and 1. A value closer to 1 indicates greater divergence of export and import from the world pattern. On the contrary closer to 0 indicates no divergence from the world pattern.
      • Сентябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 11 апреля, 2017
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        This table shows the value of total merchandise exports and imports by individual country, geographical region, economic grouping and trade group, expressed in millions of dollars and as a percentage of the world total.
      • Январь 2015
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 23 апреля, 2015
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        This table presents merchandise trade complementarity index which assesses the suitability of preferential trade agreement between two economies given the structure of one potential partners’ exports match the imports of the other potential partner. Changes over time may indicate whether the trade profiles are becoming more or less compatible.
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 29 декабря, 2016
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        This table presents merchandise trade by product based on SITC, Rev.3 commodity classification (the most detailed level is three digit), expressed in thousands of dollars
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        This table presents merchandise trade by product based on SITC, Rev.3 commodity classification (the most detailed level is three digit), expressed in thousands of dollars
      • Ноябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 09 декабря, 2016
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        This table presents merchandise trade by trading partner expressed in thousands of dollars
      • Сентябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 02 ноября, 2016
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        Data on the world merchant fleet by flag of registration and by type of ship, highlighting the group of major open-registry countries. Data are presented in thousands of dead-weight tons (DWT), as world shares, and as percentages of a ship-type in an economy's fleet. Dead weight tonnage is a measure of how much vessels can transport.
      • Январь 2017
        Источник: Gobierno
        Загружен: Knoema
        Дата обращения к источнику: 04 января, 2017
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        Foreign Direct Investment (FDI) flows to Mexico, by country of origin, type of investment, economic sector and by state, by economic activity destination. FDI as a percentage of gross fixed capital formation. Unit: USD millions. Frequency: Quarterly. 1999-2016.
      • Январь 2015
        Источник: Right Diagnosis
        Загружен: Knoema
        Дата обращения к источнику: 04 февраля, 2016
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      • Октябрь 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 25 апреля, 2017
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        Economic developments in the Middle East, North Africa, Afghanistan, and Pakistan (MENAP) continue to reflect the diversity of conditions prevailing across the region. Most high-income oil exporters, primarily in the GCC, continue to record steady growth and solid economic and financial fundamentals, albeit with medium-term challenges that need to be addressed. In contrast, other countries --Iraq, Libya, Syria -- mired in conflicts with not just humanitarian but also economic consequences. And yet other countries, mostly oil importers, are making continued but uneven progress in advancing their economic agenda, often in tandem with political transitions and amidst difficult social conditions. In most of these countries, without extensive economic and structural reforms, economic prospects for the medium term remain insufficient to reduce high unemployment and improve living standards. Economic activity in the Caucasus and Central Asia (CCA) region is weakening, mainly because of the near-term slowdown and rising regional tensions affecting Russia, a key trading partner and sources of remittance and investment inflows, as well as weaker domestic demand in a number of CCA countries. Near-term risks are to the downside and tied to the fortunes of large trading partners. Policies need to focus on bolstering economic stability and, where needed, short-term support to ailing economic growth. In addition, a new model for high, sustained, diversified, and inclusive growth is needed to set the direction for economic policies for the next decade.
      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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        Migration and Remittances Factbook 2015 provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources. Please note, 2016 for INWARD is an estimate.
      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 17 ноября, 2016
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        Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.  
      • Июль 2013
        Источник: U.S. Geological Survey
        Загружен: Knoema
        Дата обращения к источнику: 21 августа, 2013
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        The USGS Mineral Resources Program (MRP) provides scientific information for objective resource assessments and unbiased research results on mineral potential, production, consumption, and environmental effects. The MRP is the sole Federal source for this information.
      • 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.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 14 ноября, 2016
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        This table presents most favoured nation (MFN) and effectively applied import tariff rates for major categories of non-agricultural and non-fuel products by individual country (as market economies) and economic grouping (as origins), expressed in various aggregation measures: simple average, weighted average, minimum and maximum rate, etc.
      • Февраль 2016
        Источник: Pew Research Center
        Загружен: Knoema
        Дата обращения к источнику: 05 февраля, 2016
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        Notes : 2010 is Estimated Population, 2030 is Projected Population.
    • N
      • Февраль 2014
        Источник: National Institute of Statistics and Censuses, Costa Rica
        Загружен: Knoema
        Дата обращения к источнику: 10 марта, 2014
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        Naional Accounts of Costa Rica, 2014
      • Декабрь 2016
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 10 февраля, 2017
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        The Economic Statistics Branch of the United Nations Statistics Division maintains this National Accounts Statistics database of main national accounts aggregates. It is the product of a global cooperation effort between the United Nations Statistics Division, international statistical agencies and the national statistical services of more than 200 countries and is in accordance with the request of the Statistical Commission that the most recent available data on national accounts of as many countries and areas as possible be published and disseminated regularly. This National Accounts Statistics database contains a complete and consistent set of time series from 1970 onwards of main national accounts aggregates for allUN Members States and all other countries and areas in the world. It is maintained and updated on the basis of annual collections of the official annual national accounts statistics supplemented by estimates of national accounts statistics for those years and countries for which the official statistics has incomplete or inconsistent information. In addition, to the values of national accounts statistics, it contains analytical indicators and ratios derived from the main national accounts aggregates related to economic structure and development.
      • Декабрь 2015
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 16 июня, 2016
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        National Health Accounts (NHA) provides evidence to monitor trends in health spending for all sectors- public and private, different health care activities, providers, diseases, population groups and regions in a country. It helps in developing nationals
      • Октябрь 2015
        Источник: Water FootPrint Network
        Загружен: Knoema
        Дата обращения к источнику: 26 октября, 2015
        Выбрать
      • 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
      • Ноябрь 2016
        Источник: Ocean Health Index
        Загружен: Knoema
        Дата обращения к источнику: 03 января, 2017
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        Ocean Health Index, 2016
      • Июль 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 25 июля, 2016
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        Most of the data published in this database are taken from the individual contributions of national correspondents appointed by the OECD Secretariat with the approval of the authorities of Member countries. Consequently, these data have not necessarily been harmonised at international level. This network of correspondents, constituting the Continuous Reporting System on Migration (SOPEMI), covers most OECD Member countries as well as the Baltic States, Bulgaria and Romania. SOPEMI has no authority to impose changes in data collection procedures. It is an observatory which, by its very nature, has to use existing statistics. However, it does play an active role in suggesting what it considers to be essential improvements in data collection and makes every effort to present consistent and well-documented statistics.
      • Октябрь 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.
      • Декабрь 2014
        Источник: Multiple Sources
        Загружен: Knoema
        Дата обращения к источнику: 23 декабря, 2014
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        Oil Prices have decreased significantly since Summer 2014. This affected everyone from producers to consumers. The dataset contains Oil prices needed to meet expenditure, Marginal cost of producing one more barrel of oil and Transportation costs. The data comes from IMF, Deutsche Bank, Citi Research and Reuters 
      • Ноябрь 2016
        Источник: Organization of Petroleum Exporting Countries
        Загружен: Knoema
        Дата обращения к источнику: 23 декабря, 2016
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        The OPEC Annual Statistical Bulletin (ASB) provides detailed and comprehensive time-series data on many different aspects of the global petroleum industry, including production, demand, imports and exports, as well as exploration, production and transportation activities. The publication contains, in particular, key statistical data on oil and natural gas activities in each of OPEC’s 12 Member Countries: Algeria, Angola, Ecuador, Islamic Republic of Iran, Iraq, Kuwait, Libya, Nigeria, Qatar, Saudi Arabia, the United Arab Emirates and Venezuela. Additionally, it provides valuable industry data for various countries with detailed classifications mainly by geographical region, and covers the major economic areas around the world. This year’s 2015 ASB, which comprises data up to the end of 2015, includes the following important highlights:In 2015, world crude oil production increased by 1.75 million barrels/day (b/d), or 2.4 per cent, as compared to 2014, marking the second highest increase within the last ten years. Among non-OPEC Countries, the biggest yearly increase was for the United States, which grew by 0.72m b/d, or 8.3 per cent, leading to the highest production level since the early 1970s. Crude production during 2015 also increased in the United Kingdom, which saw growth of 0.10m b/d, or 13.4 per cent, for the first time since 1999. Similarly, Norway, which had already reversed its downward trend in 2014, continued to increase in 2015 by 0.06m b/d, or 3.7 per cent. OPEC crude oil production averaged 32.32m b/d during 2015, increasing by 0.93m b/d, or 3.0 per cent, over 2014, the first surge in production after two years of decline. In 2015, the top three crude oil producing countries were Saudi Arabia (10.19m b/d), Russia (10.11m b/d) and the United States (9.43m b/d). Saudi Arabia displaced Russia from first place for the first time since 2005.In 2015, OPEC petroleum export revenues fell by 45.8 per cent from 2014 to $518.2 billion, marking the lowest level seen since 2005. Total OPEC posted a current account deficit of $99.6bn in 2015 compared with a surplus of $238.1bn in 2014. Notably, the last time OPEC recorded a current account deficit was in 1998. In value, total OPEC exports declined by 29.1 per cent year-on-year (y-o-y) while total imports fell 8.7 per cent y-o-y.World oil demand averaged 93.0m b/d in 2015, up by 1.7 per cent y-o-y, with the largest increases taking place in Asia Pacific, particularly India and China, North America, Western Europe, the Middle East and Africa. Total OECD oil demand grew soundly during 2015, while it declined in Latin America for the first time since 2003. OPEC oil demand remained robust during 2015 in the Middle East, Africa and Asia Pacific, while it declined in Latin America — gasoline, kerosene and distillates accounted for the bulk of growth. Distillates and gasoline account for around 56 per cent of total world oil demand and were on increasing trends, while residual fuel oil requirements declined for another year. Gasoline dominated 2015 oil demand growth in Asia Pacific and North America, while distillates appeared robust in Western and Eastern Europe.Total OPEC crude oil exports stood at 23.6m b/d in 2015, up slightly from 23.2m b/d in 2014. This increase represents 1.7 per cent growth y-o-y. The bulk of OPEC crude oil was exported to the Asia Pacific region at a volume of 14.5m b/d or 61.5 per cent. Significant volumes were also exported to Europe, which increased its imports from OPEC MCs to 4.2m b/d in 2015, from 4.0m b/d in 2014. North America imported 2.8m b/d of crude oil from OPEC MCs, 10.6 per cent less than during 2014.Total world proven crude oil reserves stood at 1,493 billion barrels in 2015, increasing slightly by 0.1 per cent from the previous year’s level of 1,490bn b. The largest additions came from Angola, Venezuela and IR Iran, while declines were seen in Norway, the UK and Colombia. OPEC increased its proven crude oil reserves by 0.1 per cent to 1,211bn b in 2015, maintaining their share of 81.2 per cent of total world crude oil reserves.In 2015, proven natural gas reserves declined by 0.3 per cent to approximately 202.0 trillion standard cu m. This decrease came on the back of high natural gas production and lower expenditures on exploration and development, mainly as a result of lower gas prices. Total world natural gas marketed production increased by 1.9 per cent in 2015 to reach 3.6 trillion standard cu m; increases occurred mainly in North America and the Middle East.World refinery capacity expanded by 0.8m b/cd to stand at 96.6m b/cd during 2015, mainly supported by additions in the Middle East and Asia Pacific regions. In the Middle East, expansions came largely from OPEC MCs, while in the Asia Pacific region growth came predominantly from India and China. Refinery capacity in the OECD region continued to decline despite small gains seen in the United States. Global refinery throughput ramped up by 2.4 per cent to reach 80.5m b/d in 2015, with the largest gains seen in the Middle East and Asia Pacific regions. In the Middle East, gains in refinery throughput originated in OPEC MCs, while India and China dominated the increases seen in the Asia and Pacific region.The OPEC Reference Basket averaged $49.49/b in 2015, down from $96.29/b in 2014 and dropping to the lowest yearly average observed since 2004. The yearly decline was valued at $46.80/b, or 48.6 per cent, as compared to 2014. Volatility in 2015 stood at $8.50/b, or 17.2 per cent, relative to the yearly average. The oil market has remained in contango since 2H14 and throughout 2015.
      • Апрель 2016
        Источник: Organization of Petroleum Exporting Countries
        Загружен: Knoema
        Дата обращения к источнику: 28 апреля, 2016
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        Notes: 1. Stock change assumptions reflect the development of Strategic Petroleum Reserves (SPR) in some non-OECD countries, and the rising need for stocks as refinery capacity expands. These rates of rise in stocks will eventually slow, as growth in SPR slows as does refinery expansion. The medium-term pattern eventually reverts, in the long-term, to historical average behavior. 2. For Indicators, like Long term real GP growth rates  the date has been considered the highest number although it has a range which are as. 2014- 2020 for 2020, 2020-2030 for 2030, 2030-2040 for 2040
      • Январь 2015
        Источник: Open Data Research Network
        Загружен: Knoema
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        This dataset shows the sub-index and overall rankings given to countries in the Open Data Barometer Study, a multi-dimensional measure of open data context, implementation and impacts across 77 countries. More information on the study methodology and variable definitions can be found in the Open Data Barometer 2013 Global Report
      • Июль 2014
        Источник: Open Data Research Network
        Загружен: Knoema
        Дата обращения к источнику: 05 ноября, 2014
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        Peer-reviewed numerical scores assigned to each primary data variable collected for the Open Data Barometer.
      • Октябрь 2016
        Источник: Open Data Watch
        Загружен: Knoema
        Дата обращения к источнику: 14 октября, 2016
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        Score Type Options: Three sets of scores are available: raw, weighted, or standardized. Raw scores have values between 0 and 1 as recorded in the original assessment; subscores are simple totals. Weighted scores use a predefined weighting matrix; subscores are simple totals. Standardized scores are scaled from 0 to 100; subscores are weighted averages.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 февраля, 2017
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        Other official flows are official sector transactions which do not meet the ODA criteria, e.g.: i.) Grants to developing countries for representational or essentially commercial purposes; ii.) Official bilateral transactions intended to promote development but having a grant element of less than 25 per cent; iii.) Official bilateral transactions, whatever their grant element, that are primarily export-facilitating in purpose. This category includes by definition export credits extended directly to an aid recipient by an official agency or institution ("official direct export credits"); iv.) The net acquisition by governments and central monetary institutions of securities issued by multilateral development banks at market terms; v.) Subsidies (grants) to the private sector to soften its credits to developing countries [see Annex 3, paragraph A3.5.iv)b)]; vi.) Funds in support of private investment.
      • Январь 2015
        Источник: Ministry of Tourism, Government of India
        Загружен: Knoema
        Дата обращения к источнику: 20 мая, 2016
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      • Октябрь 2015
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2015
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        Commodity prices have declined sharply over the past three years, and output growth has slowed considerably among those emerging market and developing economies that are net exporters of commodities. A critical question for policymakers in these countries is whether commodity windfall gains and losses influence potential output or merely trigger transient fluctuations of actual output around an unchanged trend for potential output. The analysis in this chapter suggests that both actual and potential output move together with the commodity terms of trade but that actual output commoves twice as strongly as potential output. The weak commodity price outlook is estimated to subtract almost 1 percentage point annually from the average rate of economic growth in commodity exporters over 2015–17 as compared with 2012–14. In exporters of energy commodities, the drag is estimated to be larger: about 2¼ percentage points on average over the same period. The projected drag on the growth of potential output is about one-third of that for actual output.
      • Июнь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 23 ноября, 2016
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        This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing, total services and total business enterprise sectors. The units used to present data in AMNE are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
      • 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
      • Февраль 2016
        Источник: Passport Index
        Загружен: Alina Buzanakova
        Дата обращения к источнику: 12 февраля, 2016
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        Passport Index is an interactive tool, which collects, displays and ranks the passports of the world.You can discover the world’s passports on a map, by country name, by Passport Power Rank and even by the color of their cover.Visa Free ScorePassports accumulate points for each visa free country that their holders can visit without a visa, or they can obtain a visa on arrival.Passport Power RankPassports are ranked based on their Visa Free Score. The higher the Visa Free Score, the better the Passport Power Rank.MethodologyThe country list is based on the 193 UN member countries and 6 territories (Macao, Kosovo, etc.) for a total of 199. Territories annexed to other countries such as Norfolk Island, French Polynesia, etc. are excluded. Data is based on research from publicly available sources, as well as information shared by government agencies.
      • Ноябрь 2012
        Источник: Center for International Comparisons at the University of Pennsylvania
        Загружен: Knoema
        Дата обращения к источнику: 10 декабря, 2012
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        The Penn World Table provides purchasing power parity and national income accounts converted to international prices for 189 countries/territories for some or all of the years 1950-2010. Its expenditure entries are denominated in a common set of prices in a common currency so that real quantity comparisons can be made, both between countries and over time. It also provides information about relative prices within and between countries, as well as demographic data and capital stock estimates. The Penn World Table grew out of the United Nations International Comparison Programme (ICP) that was jointly directed by Irving Kravis at Penn through the first three phases ending with 1975 comparison (Kravis, Heston and Summers, 1982). PWT 7.1 Alan Heston, Robert Summers and Bettina Aten, Penn World Table Version 7.1, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania, Nov 2012.
      • Февраль 2012
        Источник: Center for International Comparisons at the University of Pennsylvania
        Загружен: Knoema
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        Benchmark data used in the component price level estimates for past PWTs. The published record of benchmark comparisons includes regional and world comparisons. These are described through 1985 in publications of the World Bank, including the published comparisons of the Penn group. The Penn World Table provides purchasing power parity and national income accounts converted to international prices for 189 countries/territories for some or all of the years 1950-2010.  Its expenditure entries are denominated in a common set of prices in a common currency so that real quantity comparisons can be made, both between countries and over time. It also provides information about relative prices within and between countries, as well as demographic data and capital stock estimates. The Penn World Table grew out of the United Nations International Comparison Programme (ICP) that was jointly directed by Irving Kravis at Penn through the first three phases ending with 1975 comparison (Kravis, Heston and Summers, 1982). PWT 7.1 Alan Heston, Robert Summers and Bettina Aten, Penn World Table Version 7.1, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania, Nov 2012.
      • Июнь 2016
        Источник: University of Groningen
        Загружен: Knoema
        Дата обращения к источнику: 09 августа, 2016
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        PWT version 9.0 is a database with information on relative levels of income, output, inputs and productivity, covering 182 countries between 1950 and 2014.
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 13 декабря, 2016
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        The data presents time series on receipts and payments of personal remittances in millions of dollars. The data is also shown as percentage of exports (receipts) and imports (payments) of goods and services, and as percentage of GDP.Personal remittances is defined as the sum of two items: (1) compensation of employees, defined as the income of non-resident workers employed in an economy and of residents employed by nonresident employers; (2) personal (current) transfers, defined as current transfers in kind or in cash, between resident and nonresident households. These are the two items in the balance of payments framework that substantially relate to remittances. Both are standard components in the current account. A broader definition of personal remittances would also include capital transfers between resident and nonresident households. However, capital transfers is a supplementary component in the capital account. As a result data coverage on capital transfers is much sparse than the other two items.The data on compensation of employees, personal transfers and capital transfers between households have been collected by the IMF from national agencies or, in cases of non-availability, estimated by the IMF.
      • Сентябрь 2016
        Источник: Political Terror Scale
        Загружен: Knoema
        Дата обращения к источнику: 30 ноября, 2016
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        Political Terror Scale Levels 1 - Coun­tries un­der a se­cure rule of law, people are not im­prisoned for their views, and tor­ture is rare or ex­cep­tion­al. Polit­ic­al murders are ex­tremely rare.2 - There is a lim­ited amount of im­pris­on­ment for non­vi­ol­ent polit­ic­al activ­ity. However, few per­sons are af­fected, tor­ture and beat­ings are ex­cep­tion­al. Polit­ic­al murder is rare.3 - There is ex­tens­ive polit­ic­al im­pris­on­ment, or a re­cent his­tory of such im­pris­on­ment. Ex­e­cu­tion or oth­er polit­ic­al murders and bru­tal­ity may be com­mon. Un­lim­ited de­ten­tion, with or without a tri­al, for polit­ic­al views is ac­cep­ted.4 - Civil and polit­ic­al rights vi­ol­a­tions have ex­pan­ded to large num­bers of the pop­u­la­tion. Murders, dis­ap­pear­ances, and tor­ture are a com­mon part of life. In spite of its gen­er­al­ity, on this level ter­ror af­fects those who in­terest them­selves in polit­ics or ideas.5 - Ter­ror has ex­pan­ded to the whole pop­u­la­tion. The lead­ers of these so­ci­et­ies place no lim­its on the means or thor­ough­ness with which they pur­sue per­son­al or ideo­lo­gic­al goals.
      • Июль 2013
        Источник: United Nations Department of Economic and Social Affairs
        Загружен: Knoema
        Дата обращения к источнику: 29 декабря, 2014
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      • Март 2009
        Источник: Eurostat
        Загружен: Knoema
        Дата обращения к источнику: 29 ноября, 2015
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      • Апрель 2016
        Источник: United Nations Resettlement Programme
        Загружен: Knoema
        Дата обращения к источнику: 16 июня, 2016
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        This dataset covers the topics of Urban population and proportion of urban population living in slum area across countries & regions for the year of 1990-2012
      • Март 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 марта, 2016
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        The FAOSTAT PopSTAT module contains timeseries on population and economically active population. The series consist of both estimates and projections for different periods as available from the original sources, namely: Population data from the UN Population Division and the data refers to the UN Revision 2012. Long term series estimates and projects from 1961 to 2050. Economically active population from the ILO and the data refers to the 5th edition, revision 2009. Long term series estimates and projects from 1980 to 2020.
      • Май 2015
        Источник: Earth Policy Institute
        Загружен: Knoema
        Дата обращения к источнику: 26 июня, 2015
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        This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).
      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 22 декабря, 2016
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        The World Bank periodically prepares poverty assessments of countries in which it has an active program, in close collaboration with national institutions, other development agencies, and civil society, including poor people's organizations. Assessments report the extent and causes of poverty and propose strategies to reduce it. Countries have varying definitions of poverty, and comparisons can be difficult. National poverty lines tend to have higher purchasing power in rich countries, where standards used are more generous than in poor countries. Poverty measures based on an international poverty line attempt to hold the real value of the poverty line constant across countries, including when making comparisons over time. Data here includes measures of population living below the national poverty line as well as the international poverty line. Also included are income distributions and urban and rural poverty
      • Декабрь 2016
        Источник: International Telecommunication Union
        Загружен: Knoema
        Дата обращения к источнику: 02 марта, 2017
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      • Апрель 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 10 мая, 2017
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        Private transactions are those undertaken by firms and individuals resident in the reporting country.
      • Июнь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 25 января, 2017
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        Privatization Database provides information on privatization transactions of at least US$1 million in developing countries from 2000 to 2008. Prior to this effort the most comprehensive information could be found in the World Bank’s Privatization Transactions database, which covered the years 1988 through 1999.
      • Февраль 2017
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        CropsCrop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Crop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Primary, Cereals, Coarse Grain, Citrus Fruit, Fruit, Jute & Jute-like Fibres, Oilcakes Equivalent, Oil crops Primary, Pulses, Roots and Tubers, Treenuts and Vegetables and Melons. Data are expressed in terms of area harvested, production quantity, yield and seed quantity. The objective is to comprehensively cover production of all primary crops for all countries and regions in the world. Cereals: Area and production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed or silage or used for grazing are therefore excluded. Area data relate to harvested area. Some countries report sown or cultivated area only; however, in these countries the sown or cultivated area does not differ significantly in normal years from the area actually harvested, either because practically the whole area sown is harvested or because the area surveys are conducted around the harvest period.  Vegetables, total (including melons): Data relate to vegetable crops grown mainly for human consumption. Crops such as cabbages, pumpkins and carrots, when explicitly cultivated for animal feed, are therefore excluded. Statistics on vegetables are not available in many countries, and the coverage of the reported data differs from country to country. In general, it appears that the estimates refer to crops grown in field and market gardens mainly for sale, thus excluding crops cultivated in kitchen gardens or small family gardens mainly for household consumption. Fruit, total (excluding melons): Data refer to total production of fresh fruit, whether finally used for direct consumption for food or feed, or processed into different products: dry fruit, juice, jam, alcohol, etc. Generally, production data relate to plantation crops or orchard crops grown mainly for sale. Data on production from scattered trees used mainly for home consumption are not usually collected. Production from wild plants, particularly berries, which is of some importance in certain countries, is generally disregarded by national statistical services. Therefore, the data for the various fruits and berries are rather incomplete. Bananas and plantains: Figures on bananas refer, as far as possible, to all edible fruit-bearing species of the genus Musa except Musa paradisiaca, commonly known as plantain. Unfortunately, several countries make no distinction in their statistics between bananas and plantains and publish only overall estimates. When this occurs and there is some indication or assumption that the data reported refer mainly to bananas, the data are included. The production data on bananas and plantains reported by the various countries are also difficult to compare because a number of countries report in terms of bunches, which generally means that the stalk is included in the weight. Dates, plantains and total grapes are included in the “total fruit” aggregated figures, while olives are excluded. Treenuts: Production of nuts (including chestnuts) relates to nuts in the shell or in the husk. Statistics are very scanty and generally refer only to crops for sale. In addition to the kind of nuts shown separately, production data include all other treenuts mainly used as dessert or table nuts, such as pecan nuts, pili nuts, sapucaia nuts and macadamia nuts. Nuts mainly used for flavouring beverages are excluded as are masticatory and stimulant nuts and nuts used mainly for the extraction of oil or butter, including areca/betel nuts, cola nuts, illipe nuts, karite nuts, coconuts, tung nuts, oilpalm nuts etc. http://www.fao.org/faostat/en/#data/QCCrops processedThe dataset covers the following commodities: Beer of barley; Cotton lint; Cottonseed; Margarine, short; Molasses; Oil, coconut (copra); Oil, cottonseed; Oil, groundnut; Oil, linseed; Oil, maize; Oil, olive, virgin; Oil, palm; Oil, palm kernel; Oil, rapeseed; Oil, safflower; Oil, sesame; Oil, soybean; Oil, sunflower; Palm kernels; Sugar Raw Centrifugal; Wine.  http://www.fao.org/faostat/en/#data/QD
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 27 декабря, 2016
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        The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare   Data Files: http://www.fao.org/faostat/en/#data/QAhttp://www.fao.org/faostat/en/#data/QLhttp://www.fao.org/faostat/en/#data/QP
      • Февраль 2012
        Источник: Inter-American Development Bank
        Загружен: Knoema
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        Public Debt around the World: A New Dataset of Central Government Debt by Dany Jaimovich, Ugo Panizza. Inter-American Development Bank, Research Department, Working Paper 561, March 2006. Brief Description: Commonly used datasets on the level of public debt provide incomplete country and period coverage. It includes complete series of central government debt for 89 countries over the 1991-2005 period and for seven other countries for the 1993-2005 period. Years covered: 1991-2005.
      • 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 2017
        Источник: University of Gothenburg
        Загружен: Knoema
        Дата обращения к источнику: 20 апреля, 2017
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        In the QoG Standard CS dataset, data from and around 2013 is included. Data from 2013 is prioritized, however, if no data is available for a country for 2013, data for 2014 is included. If no data exists for 2014, data for 2012 is included, and so on up to a maximum of +/- 3 years.
      • Апрель 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 26 апреля, 2017
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        The World Bank launched the new Quarterly External Debt Statistics (QEDS) GDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS GDDS database provides external debt data, starting from 2002Q4, for an extension of countries that participate in the IMF's General Data Dissemination System (GDDS).
      • Январь 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 06 февраля, 2017
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        The World Bank launched the new Quarterly External Debt Statistics (QEDS) SDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS SDDS database provides detailed external debt data starting from 1998Q1. Data are published individually by countries that subscribe to the IMF’s Special Data Dissemination Standard (SDDS), as well as, GDDS participating countries that are in a position to produce the external debt data prescribed by the SDDS.
    • R
      • Август 2012
        Источник: Multiple Sources
        Загружен: Carpe Facto
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        Spread of religions across the World, by country
      • Апрель 2017
        Источник: Reserve Bank of Australia
        Загружен: Knoema
        Дата обращения к источнику: 13 апреля, 2017
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        Reserve Bank of Australia Assets and Liabilities
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 27 декабря, 2016
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        Data on agricultural land-use are valuable for conducting studies on a various perspectives concerning agricultural production, food security and for deriving cropping intensity among others uses. Indicators derived from the land-use categories can also elucidate the environmental sustainability of countries’ agricultural practices. FAOSTAT Land-use statistics contain a wide range of information on variables that are significant for: understanding the structure of a country’s agricultural sector; making economic plans and policies for food security; deriving environmental indicators, including those related to investment in agriculture and data on gross crop area and net crop area which are useful for policy formulation and monitoring. Land-use resources sub-domain covers: Country area (including area under inland water bodies), Land area (excluding area under inland water bodies), Agricultural area, Arable land and Permanent crops, Arable land, Permanent crops, Permanent meadows and pastures, Forest area, Other land and Area equipped for irrigation. Detailed information on sub-categories: Temporary crops, Temporary meadows and pastures, Fallow land (temporary: less than 5 years), Permanent meadows and pastures cultivated and naturally grown and Organic land. Data are available from 1961 to 2009 for more than 200 countries and areas. Forest area: Global Forest Resource Assessment 2010 (FRA 2010) is the main source of forest area data in FAOSTAT. Data were provided by countries for years 1990, 2000, 2005 and 2010. Data for intermediate years were estimated for FAO using linear interpolation and tabulation. Some of the most interesting data for economists is found in this domain. The national distribution of land, among arable land, pastures and other lands, as well as the importance of irrigation are just some of the interesting data sets.
      • Октябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 25 ноября, 2016
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        UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labour, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labour, land and capital. Qualitative differences are important for each but are particularly difficult to summarise in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
      • Декабрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 30 декабря, 2016
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        UN FAO Resource Statistics - Pesticides Consumption The Pesticides (use) database includes data on the use of major pesticide groups (Insecticides, Herbicides, Fungicides, Plant growth regulators and Rodenticides) and of relevant chemical families. Data report the quantities (in tonnes of active ingredients) of pesticides used in or sold to the agricultural sector for crops and seeds. Information on quantities applied to single crops is not available
      • Июль 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 14 декабря, 2016
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      • Ноябрь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 23 ноября, 2016
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        Farmers produce food and fiber using a wide variety of farm practices and management systems that differ by commodity, region, and farm and operator characteristics. The mix of inputs, practices, and technologies used by farmers, when combined with land, labor, and water resources, affects production costs; farm income; and soil, water and air quality.
      • Апрель 2017
        Источник: Global Finance Magazine
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2017
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    • S
      • Июнь 2016
        Источник: General Authority for Statistics, Kingdom of Saudi Arabia
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2016
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        Saudi Arabia Driving Licenses Issued By Administritive Area, 1993-2015
      • Июнь 2016
        Источник: General Authority for Statistics, Kingdom of Saudi Arabia
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2016
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        Saudi Arabia Foreigners Granted Residence Permits by Administrative Area 2006-2015
      • Апрель 2016
        Источник: General Authority for Statistics, Kingdom of Saudi Arabia
        Загружен: Knoema
        Дата обращения к источнику: 02 августа, 2016
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        Data cited at, 1. https://kapsarc.opendatasoft.com/explore/dataset/postal-services-network-in-the-kingdom-by-postal-regions-2008-ad  
      • Март 2017
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 03 апреля, 2017
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        Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Foreign Affiliates in All Countries in Which Investment Was Reported
      • Февраль 2017
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 15 февраля, 2017
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        Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in Which Investment Was Reported.
      • Июнь 2016
        Источник: Stockholm International Peace Research Institute
        Загружен: Knoema
        Дата обращения к источнику: 22 июня, 2016
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        Military expenditure in local currency at current prices is presented according to the financial year of each country. Figures in constant (2014) US$ and as a share of GDP are present according to calendar year, calculated on the assumption that, where financial years do not correspond to calendar years, spending is distributed evenly through the year. SIPRI military expenditure data is based on open sources only, including a SIPRI questionnaire which is sent out annually to all countries included in the database. The collected data is processed to achieve consistent time series which are, as far as possible, in accordance with the SIPRI definition of military expenditure, detailed in the sources and methods.
      • Август 2015
        Источник: Scimago Lab
        Загружен: Knoema
        Дата обращения к источнику: 26 августа, 2015
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      • Июнь 2014
        Источник: Scimago Lab
        Загружен: Knoema
        Дата обращения к источнику: 04 июня, 2014
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        The SIR reports are not league tables. The ranking parameter –the scientific output of institutions- should be understood as a default rank, not our ranking proposal. The only goal of this report is to characterize research outcomes of organizations so as to provide useful scientometric information to institutions, policymakers and research manager so they are able to analyze, evaluate and improve their research results. If someone uses this report to rank institutions or to build a league table with any purpose, he/she will do it under his/her own responsibility. Output - Total number of documents published in scholarly journals indexed in Scopus (Romo-Fernández, et al., 2011). International Collaboration - Institution's output ratio produced in collaboration with foreign institutions. The values are computed by analyzing an institution's output whose affiliations include more than one country address (Guerrero-Bote, Olmeda-Gómez and Moya-Anegón, 2013; Lancho-Barrantes, Guerrero-Bote and Moya-Anegón, 2013; Lancho-Barrantes, et al., 2013; Chinchilla-Rodríguez, et al., 2012) Normalized Impact - Normalized Impact is computed using the methodology established by the Karolinska Intitutet in Sweden where it is named "Item oriented field normalized citation score average". The normalization of the citation values is done on an individual article level. The values (in %) show the relationship between an institution's average scientific impact and the world average set to a score of 1, --i.e. a NI score of 0.8 means the institution is cited 20% below world average and 1.3 means the institution is cited 30% above average (Rehn and Kronman, 2008; González-Pereira, Guerrero-Bote and Moya- Anegón, 2011). High Quality Publications - Ratio of publications that an institution publishes in the most influential scholarly journals of the world, those ranked in the first quartile (25%) in their categories as ordered by SCImago Journal Rank (SJRII) indicator (Miguel, Chinchilla-Rodríguez and Moya-Anegón, 2011). Specialization Index - The Specialization Index indicates the extent of thematic concentration /dispersion of an institution’s scientific output. Values range between 0 and 1, indicating generalist vs. specialized institutions respectively. This indicator is computed according to the Gini Index used in Economy (Moed, et. al., 2011; López-Illescas, Moya-Anegón and Moed, 2011; Arencibia-Jorge et al., 2012). In this indicator, when the value is 0 it means that the data are not sufficient to calculate. Excellence Rate - Excellence rate indicates the amount (in %) of an institution’s scientific output that is included into the set of the 10% of the most cited papers in their respective scientific fields. It is a measure of high quality output of research institutions (SCImago Lab, 2011; Bornmann, Moya-Anegón and Leydesdorff, 2012; Guerrero-Bote and Moya-Anegón, 2012). Scientific Leadership - Leadership indicates an institution’s “output as main contributor”, that is the number of papers in which the corresponding author belongs to the institution (Moya-Anegón, 2012; Moya-Anegón et. al, 2013; Moya-Anegón, et al., forthcoming) Excellence with Leadership - Excellence with Leadership indicates the amount of documents in the Excellence rate in which the institution is the main contributor (Moya-Anegón, et al., 2013).
      • Февраль 2016
        Источник: Social Progress Imperative
        Загружен: Knoema
        Дата обращения к источнику: 27 сентября, 2016
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        The Social Progress Index is the result of a two-year process guided by a team of scholars and policy experts. It synthesizes a huge body of research to identify the dimensions of social and environmental performance of societies. The Index incorporates four key design principles: 1. Exclusively social and environmental indicators: our aim is to measure social progress directly, rather than utilize economic proxies. By excluding economic indicators, we can, for the first time, analyze the relationship between economic development (measured for example by GDP per capita) and social development rigorously and systematically. Prior efforts to move “beyond GDP” have commingled social and economic indicators, making it more difficult to disentangle cause and effect. 2. Outcomes not inputs: our aim is to measure the outcomes that matter to the lives of real people. For example, we want to measure the health and wellness achieved by a country, not how much effort is expended nor how much the country spends on healthcare. 3. Actionability: the Index aims to be a practical tool that will help leaders and practitioners in government, business and civil society to implement policies and programs that will drive faster social progress. To achieve that goal, we measure outcomes in a granular way that links to practice. The Index has been structured around 12 components and 54 distinct indicators. The framework allows us to not only provide an aggregate country score and ranking, but also supports granular analyses of specific areas of strength and weakness. Transparency of measurement using a comprehensive framework helps change-makers identify and act upon the most pressing issues in their societies. 4. Relevance to all countries: our aim is to create a holistic measure of social progress that encompasses the health of societies. Most previous efforts have focused on the poorest countries, for understandable reasons. But knowing what constitutes a healthy society for higher-income countries is indispensable in charting a course to get there. These design principles are the foundation for our conceptual framework that defines social progress in an inclusive and comprehensive way. We define social progress as the capacity of a society to meet the basic human needs of its citizens, establish the building blocks that allow citizens and communities to enhance and sustain the quality of their lives, and create the conditions for all individuals to reach their full potential. This definition reflects an extensive and critical review and synthesis of both academic and practitioner literature in a wide range of development topics.
      • Август 2016
        Источник: Actionable Governance Indicators Data Portal
        Загружен: Knoema
        Дата обращения к источнику: 30 августа, 2016
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        Statistical Capacity Indicator has three dimensions:a). Statistical Methodology b). Source data and c). Periodicity and timeliness. For each dimension, a country is scored against specific criteria, using information available from the World Bank, IMF, UN, UNESCO, and WHO. A composite score for each dimension is calculated by adding criteria scores, ranges from 0 to 1, and multiplying by 10. And an overall score combining all three dimensions are derived for each country on a scale of 0-100 by taking average of these three dimensions. A score of 100 indicates that the country meets all the criteria.The first dimension, statistical methodology, Countries are evaluated against a set of criteria such as use of an updated national accounts base year, use of the latest BOP manual, external debt reporting status, subscription to IMF’s Special Data Dissemination Standard, and enrolment data reporting to UNESCO.The second dimension, source data, reflects whether a country conducts data collection activities in line with internationally recommended periodicity, and whether data from administrative systems are available and reliable for statistical estimation purposes. Specifically, the criteria used are the periodicity of population and agricultural censuses, the periodicity of poverty and health related surveys, and completeness of vital registration system coverage.The third dimension, periodicity and timeliness, looks at the availability and periodicity of key socioeconomic indicators, of which nine are MDG indicators. This dimension attempts to measure the extent to which data are made accessible to users through transformation of source data into timely statistical outputs. Criteria used include indicators on income poverty, child and maternal health, HIV/AIDS, primary completion, gender equality, access to water and GDP growth.
      • Ноябрь 2016
        Источник: World Steel Association
        Загружен: Knoema
        Дата обращения к источнику: 13 декабря, 2016
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        Worldsteel’s Steel Statistical Yearbook presents a cross-section of steel industry statistics. It contains comprehensive statistics from (1991 - 2015) on crude steel production by process, steel production by product, steel trade by product, apparent steel use, and production of pig iron and directly reduced iron. It also includes data on production and trade of iron ore and trade of scrap as well as data on indirect exports and imports of steel and true steel use. The statistics were collected from members of worldsteel and various international organisations.
      • Февраль 2015
        Источник: World Life Expectancy
        Загружен: Knoema
        Дата обращения к источнику: 07 мая, 2015
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      • Май 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 10 мая, 2016
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      • Август 2011
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 18 сентября, 2014
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        Survey on Monitoring the Paris Declaration. The dataset contains data as reported by donors and national co-ordinators in participating partner countries. The dataset includes all quantitative data collected through the 2006, 2008 and 2011 Surveys.
      • Сентябрь 2016
        Источник: Sustainable Development Solutions Network
        Загружен: Knoema
        Дата обращения к источнику: 02 декабря, 2016
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      • Сентябрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 23 марта, 2016
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        The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.
      • Июнь 2016
        Источник: Food and Agriculture Organization
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        Synthetic FertilizersGreenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided
      • Февраль 2012
        Источник: International Monetary Fund
        Загружен: Knoema
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        This database covers the universe of systemic banking crises for the period 1970-2009, and also includes data on the resolution and fiscal and economic costs of banking crises. Note: Laeven, Luc and Fabian Valencia, 2010, Resolution of Banking Crises: The Good, the Bad, and the Ugly, IMF working paper 10/146.
    • T
      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 02 декабря, 2016
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        This table provides information on terms of trade and purchasing power indices which are calculated at the level of individual countries, geographical regions, and economic groupings. See notes below for explanations of each indicator.
      • Апрель 2013
        Источник: Chinn-Ito Index
        Загружен: Knoema
        Дата обращения к источнику: 04 августа, 2013
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        The Chinn-Ito index (KAOPEN) is an index measuring a country's degree of capital account openness. The index wasinitially introduced in Chinn and Ito (Journal of Development Economics, 2006). KAOPEN is based on the binary dummy variables that codify the tabulation of restrictions on cross-border financial transactions reported in the IMF's Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER).   Chinn, Menzie D. and Hiro Ito (2008). "A New Measure of Financial Openness". Journal of Comparative Policy Analysis, Volume 10, Issue 3, p. 309 – 322 (September). Ito, Hiro (2006). "Financial Development in Asia: Thresholds, Institutions, and the Sequence of Liberalization". North American Journal of Economics and Finance, issue 17(3) (December). Chinn, Menzie D. and Hiro Ito (2006)."What Matters for Financial Development? Capital Controls, Institutions, and Interactions," Journal of Development Economics, Volume 81, Issue 1, Pages 163-192 (October). The longer version is available as NBER Working Paper No. 11370 (May 2005). The previous version is "Capital Account Liberalization, Institutions and Financial Development: Cross Country Evidence," (with Menzie Chinn) NBER Working Paper Series, #8967 (June 2002).  
      • Ноябрь 2015
        Источник: Save the Children Federation
        Загружен: Knoema
        Дата обращения к источнику: 07 декабря, 2015
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      • Сентябрь 2016
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 19 октября, 2016
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        The World Economic Forum’s Centre for Global Competitiveness and Performance through its Global Competitiveness Report and report series, aims to mirror the business operating environment and competitiveness of over 140 economies worldwide. The report series identify advantages as well as impediments to national growth thereby offering a unique benchmarking tool to the public and private sectors as well as academia and civil society.The Centre works with a network of Partner Institutes as well as leading academics worldwide to ensure the latest thinking and research on global competitiveness are incorporated into its reports.
      • Декабрь 2013
        Источник: Transparency International
        Загружен: Knoema
        Дата обращения к источнику: 20 февраля, 2014
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        Global Corruption Barometer is the largest world-wide public opinion survey on corruption - See more at: http://www.transparency.org/gcb2013/in_detail#sthash.hey9okGH.dpuf
      • Март 2017
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 01 марта, 2017
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        The Enabling Trade Index (ETI) was developed within the context of the World Economic Forum’s Transportation Industry Partnership program, and was first published in The Global Enabling Trade Report 2008. The ETI measures the extent to which individual economies have developed institutions, policies, and services facilitating the free flow of goods over borders and to destination. The structure of the Index reflects the main enablers of trade, breaking them into four overall issue areas, captured in the subindexes: 1) The market access subindex measures the extent to which the policy framework of the country welcomes foreign goods into the economy and enables access to foreign markets for its exporters. 2) The border administration subindex assesses the extent to which the administration at the border facilitates the entry and exit of goods. 3) Infrastructure subindex takes into account whether the country has in place the transport and communications infrastructure necessary to facilitate the movement of goods within the country and across the border. 4) The business environment subindex looks at the quality of governance as well as at the overarching regulatory and security environment impacting the business of importers and exporters active in the country. Each of these four subindexes is composed in turn of a number of pillars of enabling trade, of which there are seven in all. These are: 1) Domestic market access; 2) Foreign market access; 3) Efficiency and transparency of border administration; 4) Availability and quality of transport infrastructure; 5) Availability and quality of transport services; 6) Availability and use of ICTs; 7) Operating environment. Each indicator and sub-indicator is given a score on a scale of 1 to 7 that corresponds to the worst and best possible outcome, respectively.
      • Июнь 2016
        Источник: Oxford Poverty & Human Development Initiative
        Загружен: Knoema
        Дата обращения к источнику: 08 июля, 2016
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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.
      • Декабрь 2016
        Источник: Walk Free Foundation
        Загружен: Knoema
        Дата обращения к источнику: 09 января, 2017
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        This is the second edition of the Global Slavery Index, the flagship report of the Walk Free Foundation. The Global Slavery Index estimates the number of people in modern slavery in 167 countries. It is a tool for citizens, non government organisations, businesses and public officials to understand the size of the problem, existing responses and contributing factors, so they can build sound policies that will end modern slavery. The Global Slavery Index answers the following questions: What is the estimated prevalence of modern slavery country by country, and what is the absolute number by population? How are governments tackling modern slavery? What factors explain or predict the prevalence of modern slavery?
      • Июнь 2016
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 12 июля, 2016
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        The Human Capital Index seeks to serve as a tool for capturing the complexity of education, employment and workforce dynamics so that various stakeholders are able to make better-informed decisions. Last year’s edition of the World Economic Forum’s Human Capital Report explored the factors contributing to the development of an educated, productive and healthy workforce. This year’s edition deepens the analysis by focusing on a number of key issues that can support better design of education policy and future workforce planning.
      • Март 2013
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 03 марта, 2014
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        The CDS (the Common Data Set) is a joint effort by Eurostat, OECD, UNSD, UNCTAD and WTO to reconcile their time series on merchandise trade statistics, using international standards as a benchmark. Each agency is in charge of supplying figures for a predefined set of reporting economies (see Data Providing Agencies and Sources). Reconciliations, co-ordinated by WTO, consist of scrutinising significant differences between the agencies' data to determine the best value. In many instances, this results in finding an agreement on substitution values and estimates. Thus, the CDS database gives access to statistics and documentation of both officially reported and reconciled series. It covers annual total merchandise export and import values of over 200 economies for the period 1995 to 2011.
      • Декабрь 2015
        Источник: International Benchmarking Network for Water and Sanitation Utilities
        Загружен: Knoema
        Дата обращения к источнику: 12 января, 2016
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      • Сентябрь 2015
        Источник: International Budget Partnership
        Загружен: Knoema
        Дата обращения к источнику: 09 июня, 2016
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        The Open Budget Index assigns countries covered by the Survey a transparency score on a 100-point scale using 92 questions from the Survey — these questions focus specifically on whether the government provides the public with timely access to comprehensive information contained in eight key budget documents. The Open Budget Index measures the overall commitment of countries to transparency and allows for comparisons among countries.
      • Февраль 2015
        Источник: Keele University
        Загружен: Knoema
        Дата обращения к источнику: 24 апреля, 2015
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        This water poverty index is a first pass at trying to establish an international measure comparing performance in the water sector across countries in a holistic way that brings in the diverse aspects and issues that are relevant. It does seem to give some sensible results but it does not pretend to be definitive nor offer a totally accurate measure of the situation.
      • Октябрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 28 июля, 2016
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        Global data on individuals, firms, and the business environments.
      • Июнь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 03 июля, 2015
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      • Август 2012
        Источник: Bloomberg
        Загружен: Knoema
        Дата обращения к источнику: 16 августа, 2012
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        To identify the healthiest countries in the world, Bloomberg Rankings created health scores and health-risk scores for countries with populations of at least 1 million. The risk score was subtracted from the health score to determine the country''s rank. Five-year averages, when available, were used to mitigate some of the short-term year-over-year swings.
      • Октябрь 2011
        Источник: Pacific Institute
        Загружен: Knoema
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        Water is one of our most critical resources, but around the world it is under threat. Worldwater.org is dedicated to providing information and resources to help protect and preserve fresh water around the globe.
      • Декабрь 2013
        Источник: Strategy&
        Загружен: Knoema
        Дата обращения к источнику: 24 декабря, 2013
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      • Октябрь 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 20 октября, 2016
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        This table provides estimates from 1950 to 2015 and projections from 2016 to 2050 (Medium Variant), of total population and urban population, expressed in thousands and as a percentage of total population, respectively.
      • Октябрь 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 03 ноября, 2014
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        Estimates and forecasts on labour force data: (1) Total labour force and female labour force, expressed in thousands (2) Total agriculture labour force and female labour force, expressed in thousands.
      • Декабрь 2016
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 04 января, 2017
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        Total Official Flows: the sum of Official Development Assistance (ODA) and Other Official Flows (OOF) represents the total (gross or net) disbursements by the official sector at large to the recipient country shown.
      • Декабрь 2015
        Источник: World Intellectual Property Organization
        Загружен: Knoema
        Дата обращения к источнику: 22 августа, 2016
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        Data cited at, 1. https://kapsarc.opendatasoft.com/explore/dataset/total-patent-applications-total-count-by-applicants-origin-2010_2014  
      • Апрель 2017
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2017
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        Total Receipts, Net: in addition to Official Development Assistance, this heading includes in particular: other official bilateral transactions which are not concessional or which, even though they have concessional elements, are primarily trade facilitating in character (i.e., "Other Official Flows''); changes in bilateral long-term assets of the private non-monetary and monetary sectors, in particular guaranteed export credits, private direct investment, portfolio investment and, to the extent they are not covered in the preceding headings, loans by private banks. Flows from the multilateral sector which are not classified as concessional are also included here.
      • Март 2017
        Источник: National Bureau of Statistics of the Republic of Moldova
        Загружен: Knoema
        Дата обращения к источнику: 25 мая, 2017
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        Tourism & Transport Statistics of Moldova, 2015
      • Январь 2017
        Источник: TRACE International
        Загружен: Knoema
        Дата обращения к источнику: 23 января, 2017
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        'The TRACE Matrix measures business bribery risk in all countries. Developed in collaboration with RAND Corporation, the TRACE Matrix provides the business community with a powerful new tool for anti-bribery risk assessment. It assesses countries across four domains – Business Interactions with Government, Anti-bribery Laws and Enforcement, Government and Civil Service Transparency, and the Capacity for Civil Society Oversight, including the role of the media – as well as nine sub-domains. Business interactions with government includes the sub-domains of “contact with government,” “expectation of paying bribes” and “regulatory burden.” These indicators capture aspects of the “touches with government” that TRACE identified as very important for business bribery through regulatory and business interviews they conducted.Anti-corruption laws enacted by a country and information about enforcement of those laws.Government and civil service transparency, which includes indicators concerning whether government budgets are publicly available and whether there are regulations addressing conflicts of interest for civil servants.Information concerning the extent of press freedom and social development, both of which serve as indicators of a robust civil society that can provide government oversight. The overall country risk score is a combined and weighted score of four domains.For each of these four "domains" (and related sub-domains), the TRACE Matrix aggregates relevant data obtained from leading public interest and international organizations, including the United Nations, the World Bank and the World Economic Forum. Based on statistical analysis of this information, each country is assigned not only an overall score between 1 and 100—with 100 representing the greatest risk—but also scores for each of the four domains and nine sub-domains.'
      • Декабрь 2009
        Источник: Liberia Institute of Statistics & Geo-Information Services
        Загружен: Knoema
        Дата обращения к источнику: 15 мая, 2013
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        Trade Data of Liberia, 2010
      • Апрель 2014
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 03 июня, 2014
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        This table presents trade in services by service category for individual countries, expressed in millions of dollars and as percentages of a country's total trade in services. The commercial services, which exclude government services and follow the GATS definition, are included as well.
      • Август 2015
        Источник: Organisation for Economic Co-operation and Development
        Загружен: Knoema
        Дата обращения к источнику: 10 сентября, 2015
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        The database on statistics of international trade in services broken down by partner country provides statistics on international trade in services by partner country for 29 OECD countries plus EU, Euro Area, European Union Institutions, Hong Kong (SAR China) and the Russian Federation as well as definitions and methodological notes. The data concern trade between residents and non-residents of countries and are reported within the framework of the Manual on Statistics of International Trade in Services.  Sector coverage The aim of the publication is to assemble and disseminate balance of payments data on trade in services at the most detailed partner-country level available. To the extent that countries report them, data are also broken down by type of service according to the EBOPS classification.  
      • Июль 2014
        Источник: Central Statistical Organisation Yemen
        Загружен: Knoema
        Дата обращения к источнику: 12 октября, 2015
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      • Июнь 2016
        Источник: Pew Research Center
        Загружен: Knoema
        Дата обращения к источнику: 29 июня, 2016
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        Levels of restrictions on religionGovernment Restrictions IndexVery high- 6.6 to 10.0High- 4.5 to 6.5Moderate - 2.4 to 4.4Low- 0.0 to 2.3Social Hostilities IndexVery high- 7.2 to 10.0High- 3.6 to 7.1Moderate- 1.5 to 3.5Low- 0.0 to 1.4
    • U
      • Январь 2016
        Источник: National Science Foundation
        Загружен: Knoema
        Дата обращения к источнику: 31 марта, 2016
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        Data collected from table 5-25 to 5-54, 5-58
      • Октябрь 2016
        Источник: Bureau of Economic Analysis
        Загружен: Knoema
        Дата обращения к источнику: 18 ноября, 2016
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        U.S. Direct Investment Abroad: Country and Industry Detail for Selected Items, 2015
      • Май 2017
        Источник: U.S. Department of the Treasury
        Загружен: Knoema
        Дата обращения к источнику: 26 мая, 2017
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        U.S. Financial Firms Liabilities: Data by Type, Country and Region
      • Май 2017
        Источник: U.S. Energy Information Administration
        Загружен: Knoema
        Дата обращения к источнику: 24 мая, 2017
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      • Март 2017
        Источник: Federal Competitiveness and Statistics Authority, United Arab Emirates
        Загружен: Knoema
        Дата обращения к источнику: 30 марта, 2017
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      • Январь 2012
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 04 мая, 2015
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        Both ethanol and biodiesel are classified under the HS-6 digit categories that also contain other products. Biodiesel is an industrial product (as it is produced through a chemical process called transsesterification) and classified under HS code 382490 - products, preparations and residual products of the chemical or allied industries not elsewhere specified. Ethanol is classified as an agriculture product under HS code 2207, which covers un-denatured (HS 2207 10) and denatured alcohol (HS 2207 20).
      • Декабрь 2011
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 19 декабря, 2011
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        The global database for merchandise trade statistics: groups 01-24 (4 digit level of HS Classification)
      • Апрель 2017
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 26 апреля, 2017
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      • Октябрь 2016
        Источник: United Nations Public Administration Country Studies
        Загружен: Knoema
        Дата обращения к источнику: 17 октября, 2016
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        1. The EGDI is based on a comprehensive Survey of the online presence of all 193 United Nations Member States, which assesses national websites and how e-government policies and strategies are applied in general and in specific sectors for delivery of essential services. The assessment rates the e-government performance of countries relative to one another as opposed to being an absolute measurement. The results are tabulated and combined with a set of indicators embodying a country’s capacity to participate in the information society, without which e-government development efforts are of limited immediate use. Although the basic model has remained consistent, the precise meaning of these values varies from one edition of the Survey to the next as understanding of the potential of e-government changes and the underlying technology evolves. This is an important distinction because it also implies that it is a comparative framework that seeks to encompass various approaches that may evolve over time instead of advocating a linear path with an absolute goal. 2. E-Government Development Index-EGDI Very High-EGDI (Greater than 0.75)High-EGDI (Between 0.50 and 0.75)Middle-EGDI (Between 0.25 and 0.50)Low-EGDI (Less than 0.25)
      • Январь 2016
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 10 мая, 2016
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        The United Nations Industrial Commodity Statistics Database provides annual statistics on the production of major industrial commodities by country. Data are provided in terms of physical quantities as well as monetary value. The online database covers the years 1995 to 2013. Additional historical data is available on request, based on a different product list, for the years 1950-2003.
      • Декабрь 2016
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 07 февраля, 2017
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        The Energy Statistics Database contains basic statistics for more than 215 countries/territories. Currently, the database provides time series for the period 1950-2009 and is updated annually during the period October-November.The Energy Statistics Database provides statistics on production, trade, transformation and consumption (end-use) for primary and secondary, conventional, non-conventional and new and renewable sources of energy, as well as population estimates to enable the calculation of per capita indicators. The database contains data in their original units (e.g. metric tonnes, GWh) and also calorific values to allow interfuel comparison in a common energy unit (terajoules). The main source of information for the Energy Statistics Database is the UNSD Annual Questionnaire on Energy Statistics. Additional sources of information for the database include national, regional and international statistical publications (including, but not limited to publications from: the International Energy Agency (OECD/IEA), the Statistical Office of the European Communities (Eurostat), the International Atomic Energy Agency (IAEA), the Organization of the Petroleum Exporting Countries (OPEC), the Organización Latinoamericana de Energía (OLADE), etc.). The Statistics Division prepares estimates where official data are incomplete or inconsistent.
      • Ноябрь 2014
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 13 ноября, 2014
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        World Health Statistics presents the most recent health statistics for WHO’s 193 Member States.
      • Май 2016
        Источник: United Nations Environment Programme
        Загружен: Knoema
        Дата обращения к источнику: 09 июня, 2016
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      • Июнь 2015
        Источник: United Nations Environment Programme
        Загружен: Knoema
        Дата обращения к источнику: 30 июня, 2016
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        The GEO Data Portal is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. The GEO Data Portal gives access to a broad socio-economic data sets from authoritative sources at global, regional, sub-regional and national levels. The contents of the Data Portal cover environmental themes such as climate, forests and freshwater and many others, as well as socioeconomic categories, including education, health, economy, population and environmental policies.
      • Июль 2016
        Источник: UNESCO Institute for Statistics
        Загружен: Knoema
        Дата обращения к источнику: 27 октября, 2016
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        The UNESCO Institute for Statistics (UIS) is the statistical office of UNESCO and is the UN depository for global statistics in the fields of education, science and technology, culture and communication. The UIS was established in 1999. It was created to improve UNESCO’s statistical programme and to develop and deliver the timely, accurate and policy-relevant statistics needed in today’s increasingly complex and rapidly changing social, political and economic environments. The UIS is based in Montreal, Canada. The dataset contains over 1,000 types of indicators and raw data on education, literacy, science and technology, culture and communication. The UIS collects the data for more than 200 countries and territories from Member States and international organizations.
      • Октябрь 2015
        Источник: Joint United Nations Programme on HIV/AIDS
        Загружен: Knoema
        Дата обращения к источнику: 26 февраля, 2016
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        UNAIDS was mandated by the UN General Assembly to monitor progress on global AIDS response in the 2001 General Assembly Special Session on HIV and AIDS, and reaffirmed in the 2011 High Level Meeting. The Global AIDS Response Progress Reporting data consists of 30 indicators, divided by 10 global targets, which are reported by participating countries on their national response to HIV/AIDS. Data used to be reported every second year from 2004 until 2012, However, starting 2013, data are collected every year to enable effective monitoring towards Millennium Development Goals of 2015. Collected data are published as part of the Global Report on AIDS. In 2014, 180 out of 193 UN member states (171 in 2013) submitted their reports.
      • Ноябрь 2016
        Источник: DevInfo
        Загружен: Knoema
        Дата обращения к источнику: 15 декабря, 2016
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        This database contains country-reported GARPR data and Spectrum estimates (unrounded version for graphing purposes)
      • Ноябрь 2016
        Источник: Joint United Nations Programme on HIV/AIDS
        Загружен: Knoema
        Дата обращения к источнику: 16 декабря, 2016
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      • Октябрь 2016
        Источник: United Nations Department of Economic and Social Affairs
        Загружен: Knoema
        Дата обращения к источнику: 17 февраля, 2017
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        This dataset contains short-term prospects for the global economy in 2017-2018   Project LINK is an international collaborative research group for econometric modelling, coordinated jointly by the Development Policy and Analysis Division of UN/DESA and the University of Toronto. Each year, a UN/DESA Expert Group Meeting on the World Economy, also known as the Project LINK Meeting, is held in October to discuss the world economic outlook. The meeting is participated in by a wide range of experts from academia, economic research institutions and international economic organizations as well as United Nations colleagues from the regional commissions of ECA, ECE, ECLAC, ESCAP and ESCWA. Global Economic Outlook presents the short-term prospects for the global economy in 2016 and 2017, including major risks and policy challenges. The report draws on inputs from the experts of Project LINK, as well as analysis of staff in the Global Economic Monitoring Unit of the Development Policy and Analysis Division (DPAD) of UN/DESA.
      • Март 2017
        Источник: International Trade Administration, U.S. Department of Commerce
        Загружен: Knoema
        Дата обращения к источнику: 17 апреля, 2017
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        United States : Used Passenger Vehicle Exports and Imports Data
      • Май 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 29 июня, 2016
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        Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
      • Май 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 29 июня, 2016
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        Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
      • Май 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 29 июня, 2016
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        Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
      • Январь 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 05 августа, 2016
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        The latest information on drug production and prices from United Nations Office on Drugs & Crime (UNODC)
      • Январь 2017
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 21 февраля, 2017
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        UNSD Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Indicator tables, charts and maps with relatively good quality and coverage across countries, as well as links to other international sources, are provided under each theme. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aqua stat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.
      • Октябрь 2016
        Источник: United Nations Statistics Division
        Загружен: Knoema
        Дата обращения к источнику: 15 марта, 2017
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        Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology whereas series number with four digits (1000, 1100) refer to data compiled using the SNA 2008 national accounts methodology. In addition to different methodologies, different series numbers are used when data are reported in different currencies, fiscal years, or by different sources. Furthermore, data are stored under a new series number whenever there are significant changes in compilation practices which make the time series no longer comparable.
      • 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.
      • Январь 2017
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 14 марта, 2017
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        Improving agricultural productivity has been the world's primary means of assuring that the needs of a growing population don't outstrip the ability of humanity to supply food. Over the past 50 years, productivity growth in agriculture has allowed food to become more abundant and cheaper (see Growth in Global Agricultural Productivity: An Update, Amber Waves, November 2013, and New Evidence Points to Robust But Uneven Productivity Growth in Global Agriculture, Amber Waves, September 2012). A broad concept of agricultural productivity is total factor productivity (TFP). TFP takes into account all of the land, labor, capital, and material resources employed in farm production and compares them with the total amount of crop and livestock output. If total output is growing faster than total inputs, we call this an improvement in total factor productivity ("factor" = input). TFP differs from measures like crop yield per acre or agricultural value-added per worker because it takes into account a broader set of inputs used in production. TFP encompasses the average productivity of all of these inputs employed in the production of all crop and livestock commodities. "Growth accounting" provides a practicable way of measuring changes in agricultural TFP across a broad set of countries and regions, and for the world as a whole, given limited international data on production outputs, inputs, and their economic values. The approach (described in detail in Documentation and Methods) gives agricultural TFP growth rates, but not TFP levels, across the countries and regions of the world in a consistent, comparable way. Most of the data for the analysis comes from FAOSTAT. In some cases Food and Agriculture Organization (FAO) input and output data are supplemented with data from national statistical sources. Note: To facilitate international comparisons, certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the U.S. data product.
      • Май 2017
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 16 мая, 2017
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        USDA Production, Supply and Distribution dataset contains current and historical official USDA data on production, supply and distribution of agricultural commodities for the United States and key producing and consuming countries.
    • V
    • W
      • Май 2012
        Источник: International Labour Organization
        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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      • Июнь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 03 августа, 2016
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        Wealth Accounting supplements macroeconomic indicators, such as Gross Domestic Product (GDP), by measuring the comprehensive wealth of a country. While changes in GDP tell us if growth is occurring, changes in wealth (i.e., saving rate) tell us if growth is sustainable-that is, whether it is long-term. So, just as private companies are assessed by looking at both income and balance sheets, countries need to start accounting for wealth and not just income. For the past 15 years, the World Bank’s Environment and Natural Resources Global Practice has implemented a program to systematically measure comprehensive wealth, to include natural resources, human, and social capital, along with physical capital. This work program provides indicators that measure the sustainability of a country’s growth path: some indicators are published annually, such as Adjusted Net Saving (ANS) and adjusted Net National Income (aNNI), while the comprehensive wealth accounts were published in 2011. Related annual indicators also include natural resource rents, which underlie the wealth accounting data.
      • Апрель 2017
        Источник: World Economic Forum
        Загружен: Knoema
        Дата обращения к источнику: 21 апреля, 2017
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        The rise of travel and tourism has shown significant resilience globally. Despite slow economic growth in advanced economies and geopolitical tensions in some regions, the T&T sector still accounts for a large part of the global economy (estimated to be approximately 9% of global GDP or US$ 7 trillion) and employment,while the number of international travellers continues to increase. According to the World Travel & Tourism Council (WTTC), the T&T sector is forecast to continue growing at 4% annually—faster than financial services,transport and manufacturing
      • Май 2012
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 01 июня, 2012
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        Body mass index (BMI) is a simple index of weight-for-height that is commonly used to classify overweight and obesity in adults. It is defined as a person's weight in kilograms divided by the square of his height in meters (kg/m2). The WHO definition is: a BMI greater than or equal to 25 is overweight a BMI greater than or equal to 30 is obesity. BMI provides the most useful population-level measure of overweight and obesity as it is the same for both sexes and for all ages of adults. However, it should be considered a rough guide because it may not correspond to the same degree of fatness in different individuals.
      • Октябрь 2015
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 08 декабря, 2015
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      • Март 2012
        Источник: World Health Organization
        Загружен: Knoema
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        The WHO Statistical Information System is the guide to health and health-related epidemiological and statistical information available from the World Health Organization.
      • Декабрь 2015
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 19 апреля, 2016
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        The World Malaria Report 2015 summarizes information received from malaria-endemic countries and other sources, and updates the analyses presented in the 2014 report.  The World Malaria Report is WHO’s flagship malaria publication, released each year in December. It assesses global and regional malaria trends, highlights progress towards global targets, and describes opportunities and challenges in controlling and eliminating the disease. Most of the data presented in this report is for 2014.
      • Июль 2015
        Источник: World Health Organization
        Загружен: Knoema
        Дата обращения к источнику: 10 июля, 2015
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        The WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation is the official United Nations mechanism tasked with monitoring progress towards the Millennium Development Goal (MDG) relating to drinking-water and sanitation (MDG 7, Target 7c), which is to: "Halve, by 2015, the proportion of people without sustainable access to safe drinking-water and basic sanitation".
      • Август 2016
        Источник: Scimago Lab
        Загружен: Knoema
        Дата обращения к источнику: 22 августа, 2016
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      • Март 2012
        Источник: World Bank
        Загружен: Knoema
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        The Investing Across Borders (IAB) indicators assess laws, regulations, and practices that affect foreign direct investment (FDI). The project’s methodology is based on that of the World Bank Group’s Doing Business project. The indicators highlight differences among countries in their regulatory treatment of FDI to identify good practices, facilitate learning opportunities, stimulate reforms, and provide annual cross-country data for research and analysis. The indicators are based on a survey of lawyers, professional service providers (mainly accounting and consulting firms), investment promotion institutions, chambers of commerce, law professors, and other expert respondents in the countries covered. For the IAB 2010 report, more than 2,350 respondents were surveyed in 87 economies (27 per country, on average) between April and December 2009. List of all respondents is available under the local partners.
      • Март 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 10 марта, 2017
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        World Bank Annual Report https://finances.worldbank.org/browse?tags=balance+sheet&q=IBRd&sortBy=relevance&utf8=%E2%9C%93
      • Ноябрь 2011
        Источник: World Bank
        Загружен: Knoema
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        Data from World Development Indicators and Climate Change Knowledge Portal on climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use.
      • Декабрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 11 января, 2017
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        Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
      • Октябрь 2016
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 26 октября, 2016
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        Doing Business 2017: Equal Opportunity for All, a World Bank Group flagship publication, is the 14th in a series of annual reports measuring the regulations that enhance business activity and those that constrain it. Doing Business presents quantitative indicators on business regulations and the protection of property rights that can be compared across 190 economies—from Afghanistan to Zimbabwe—and over time. Doing Business measures regulations affecting 11 areas of the life of a business. Ten of these areas are included in this year’s ranking on the ease of doing business: starting a business, dealing with construction permits, getting electricity, registering property, getting credit, protecting minority investors, paying taxes, trading across borders, enforcing contracts and resolving insolvency. Doing Business also measures labor market regulation, which is not included in this year’s ranking. Data in Doing Business 2017 are current as of June 1, 2016. The indicators are used to analyze economic outcomes and identify what reforms of business regulation have worked, where and why.
      • Май 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 22 мая, 2017
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        The dataset Provides daily updates of global economic developments, with coverage of high income- as well as developing countries. Average period data updates are provided for exchange rates, equity markets, interest rates, stripped bond spreads, and emerging market bond indices. Monthly data coverage (updated daily and populated upon availability) is provided for consumer prices, high-tech market indicators, industrial production and merchandise trade.
      • Февраль 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 05 ноября, 2015
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        The Trade in Services Database provides information on annual bilateral services trade flows in Mode 1 (cross-border trade) and Mode 2 (consumption abroad) for 199 countries across a multitude of sectors and years spanning 1985 and 2011. The collection of data on cross-border trade in services is notoriously difficult, in large part due to the intangible nature of services but also the high capacity needed to record such data. This is particularly true for developing countries. This database tries to fill this gap by consolidating multiple sources of bilateral trade data in services using mirror techniques, including the OECD, Eurostat, UN and IMF, as to provide a broader coverage of developed and developing countries over time. Mirror-technique is a method to retrieve export trade flows of a reporter by using information on imports of the partner country.
      • Февраль 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 14 марта, 2017
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        Education Statistics provides data on over 1,000 internationally comparable indicators for access, progression, completion, learning outcomes, literacy, teachers, expenditure, and background indicators. The indicators cover the educational cycle from pre-primary to tertiary education.
      • Октябрь 2013
        Источник: World Chess Federation
        Загружен: Knoema
        Дата обращения к источнику: 07 октября, 2013
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        Country rank by average rating of top 10 players
      • Август 2012
        Источник: Multiple Sources
        Загружен: Carpe Facto
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        Coffee consumption by country.
      • Декабрь 2016
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 20 марта, 2017
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        The World Commodity Exporters Database is a collection of key macro-fiscal  indicators covering 52 countries that are exporters of oil, gas, and metals (such as copper, gold, iron, and silver), where these commodities represent a large share of exports (20 percent or more of total exports) or fiscal revenues. The dataset was compiled from the following sources:  International Financial Statistics (IFS), Balance of Payments Statistics, Direction of Trade Statistics, World Economic Outlook, and FAD’s fiscal rules. Data for all variables of interest are collected on an annual basis from 1970 to 2014, where available.
      • Январь 2016
        Источник: China Association of Automobile Manufacturers
        Загружен: Knoema
        Дата обращения к источнику: 19 мая, 2016
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        Car Sales by Country 2014
      • Апрель 2017
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 18 мая, 2017
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        The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
      • Октябрь 2016
        Источник: International Federation of Red Cross and Red Crescent Societies
        Загружен: Knoema
        Дата обращения к источнику: 22 ноября, 2016
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      • Декабрь 2016
        Источник: United Nations Office on Drugs and Crime
        Загружен: Knoema
        Дата обращения к источнику: 21 декабря, 2016
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      • Январь 2017
        Источник: United Nations Department of Economic and Social Affairs
        Загружен: Knoema
        Дата обращения к источнику: 23 февраля, 2017
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        The report is a joint product of the United Nations Department of Economic and Social Affairs (UN/DESA), the United Nations Conference on Trade and Development (UNCTAD) and the five United Nations regional commissions (Economic Commission for Africa (ECA), Economic Commission for Europe (ECE), Economic Commission for Latin America and the Caribbean (ECLAC), Economic and Social Commission for Asia and the Pacific (ESCAP) and Economic and Social Commission for Western Asia (ESCWA)). For further information, see http://www.un.org/en/development/desa/policy/wesp/index.shtml
      • Декабрь 2016
        Источник: International Energy Agency
        Загружен: Knoema
        Дата обращения к источнику: 17 января, 2017
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        World wide 1.3 billion people – a population equivalent to that of the entire OECD – continue to live without access to electricity. This is equivalent to 18% of the global population and 22% of those living in developing countries. Nearly 97% of those without access to electricity live in sub-Saharan Africa and developing Asia. The latest estimate for sub-Saharan Africa has been revised up by 22 million, illustrating how rapid population growth can continue to outpace the rate of electrification in many countries and conceal the progress that has been made. In developing Asia, the general trend shows an improving picture, but the pace varies. The largest populations without electricity are in India, Nigeria, Ethiopia, Bangladesh, Democratic Republic of Congo (DR Congo) and Indonesia.
      • Март 2017
        Источник: United Nations World Food Programme
        Загружен: Knoema
        Дата обращения к источнику: 09 мая, 2017
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        The World Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in.
      • Май 2016
        Источник: Charities Aid Foundation
        Загружен: Knoema
        Дата обращения к источнику: 26 мая, 2016
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      • Апрель 2014
        Источник: The Earth Institute, Columbia University
        Загружен: Knoema
        Дата обращения к источнику: 03 апреля, 2014
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        The World Happiness Report 2013 is a study conducted by Columbia University's Earth Institute and published in September 2013 by the Sustainable Development Solutions Network (SDSN). It reveals trends in the data judging just how happy countries really are on a scale running from 0 to 10. The report uses data from people in over 150 countries, surveyed by Gallup over the period 2010-12. Six key variables explain three-quarters of the variation in annual national average scores over time and among countries. These six factors include: real GDP per capita, healthy life expectancy, having someone to count on, perceived freedom to make life choices, freedom from corruption, and generosity. Note: datapoints for 2012 and 2007 refer to national averages in 2010-12 and 2005-07 correspondingly; changes from 2005-07 to 2010-12 are presented for the 130 countries with data in both periods; positive affect in 2005-07 does not include happiness (yesterday) since happiness data were not collected in the period. Reference: World Happiness Report 2013, Appendix material for Chapter 2 "World Happiness:  Trends, Explanations and Distribution", John F. Helliwell & Shun Wang.
      • Май 2017
        Источник: Sustainable Development Solutions Network
        Загружен: Knoema
        Дата обращения к источнику: 18 мая, 2017
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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 2016
        Источник: United Nations Conference on Trade and Development
        Загружен: Knoema
        Дата обращения к источнику: 24 октября, 2016
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        The World Investment Report focuses on trends in foreign direct investment (FDI) worldwide, at the regional and country levels and emerging measures to improve its contribution to development. Click on the "Reports" tab below to download a free copy of this report. Overviews of the report are also available in all official UN languages. Every issue of the Report has: Analysis of the trends in FDI during the previous year, with especial emphasis on the development implications. Ranking of the largest transnational corporations in the world. In-depth analysis of a selected topic related to FDI. Policy analysis and recommendations. Statistical annex with data on FDI flows and stocks for 196 economies.
      • Декабрь 2015
        Источник: Ethnologue: Languages of the World
        Загружен: Knoema
        Дата обращения к источнику: 26 декабря, 2016
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        The World Languages section of this site provides country summaries and language-by-language information. This section steps above that detail to offer a summary view of the world language situation. Specifically, it offers numerical tabulations of languages and number of speakers by world area, by language size, by language status, by language family, and by country.
      • Февраль 2016
        Источник: British Geological Survey
        Загружен: Knoema
        Дата обращения к источнику: 11 июля, 2016
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        World Mineral Production covers the majority of economically important mineral commodities. For each commodity constant efforts are made to ensure that as many producing countries as possible are reported. For some commodities, where statistics on production are not publicly available, estimates are made.
      • Октябрь 2016
        Источник: International Organization of Motor Vehicle Manufacturers
        Загружен: Knoema
        Дата обращения к источнику: 18 ноября, 2016
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        World Motor Vehicle Sales by Country and Type, 2005-2015
      • Апрель 2017
        Источник: Reporters Without Borders
        Загружен: Knoema
        Дата обращения к источнику: 02 мая, 2017
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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. The range of score to access the press freedom.  From 0 to 15 points: Good From 15.01 to 25 points: Fairly good From 25.01 to 35 points: ProblematicFrom 35.01 to 55 points: BadFrom 55.01 to 100 points: Very bad  
      • Октябрь 2013
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 24 ноября, 2014
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        This dataset provides the World report on disability, Technical appendix A: Estimates of disability prevalence (%) and of years of health lost due to disability (YLD), by country
      • Декабрь 2011
        Источник: World Resources Institute
        Загружен: Knoema
        Дата обращения к источнику: 15 декабря, 2011
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        Water Resources and Freshwater Ecosystems
      • Июль 2015
        Источник: International Monetary Fund
        Загружен: Knoema
        Дата обращения к источнику: 18 июля, 2016
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        The IMF’s World Revenue Longitudinal Data set (WoRLD) is a compilation of government tax and non-tax revenues from the IMF’s Government Finance Statistics and World Economic Outlook, and drawing on the OECD Revenue Statistics and Revenue Statistics in Latin American and the Caribbean.
      • Январь 2016
        Источник: World Tourism Organization
        Загружен: Knoema
        Дата обращения к источнику: 14 апреля, 2016
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        The World Tourism Organization's Compendium of Tourism Statistics and Yearbook of Tourism Statistics provide comprehensive information on international tourism worldwide and offer a selection of the latest available statistics on "arrivals of non-resident tourists/visitors" and "tourism expenditure".
      • Март 2017
        Источник: World Travel and Tourism Council
        Загружен: Knoema
        Дата обращения к источнику: 23 марта, 2017
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        Travel & Tourism is a truly global economic activity – one which takes place in destinations across the world, from leading capital cities and smaller towns and villages in rural and coastal areas, to some of the remotest points on the planet. It is one of the world’s largest industries, or economic sectors, contributing trillions of dollars annually to the global economy, creating jobs and wealth, generating exports, boosting taxes and stimulating capital investment
      • Июнь 2015
        Источник: United Nations Department of Economic and Social Affairs
        Загружен: Knoema
        Дата обращения к источнику: 01 августа, 2015
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        The Population Division of the Department of Economic and Social Affairs of the United Nations has been issuing, since 1988, every two years revised estimates and projections of the urban and rural populations of all countries in the world and of their major urban agglomerations. This web site presents the main findings of the 2014 Revision of World Urbanization Prospects which are consistent with the size of the total population of each country as estimated or projected in the 2012 Revision of World Population Prospects(United Nations, 2013). The World Urbanization Prospects are used widely throughout the United Nations and by many international organizations, research centers, academic researchers and the media.
      • Май 2016
        Источник: International Organization of Motor Vehicle Manufacturers
        Загружен: Knoema
        Дата обращения к источнику: 02 мая, 2016
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      • Май 2017
        Источник: U.S. Department of Agriculture
        Загружен: Knoema
        Дата обращения к источнику: 12 мая, 2017
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        This dataset covers the following public data available at US Dept. of Agriculture website. 1. Wheat: Supply and disappearance 2. Hard red winter wheat: Supply and disappearance 3. Hard red spring wheat: Supply and disappearance 4. Soft red winter wheat: Supply and disappearance 5. White wheat: Supply and disappearance Reference Market year (start from Jun-May)Q 1 in Market year: Jun-AugustQ 2 in Market year: Sep-NovQ 3 in Market year: Dec-FebQ 4 in Market year: March-May
      • Сентябрь 2015
        Источник: World Bank
        Загружен: Knoema
        Дата обращения к источнику: 06 октября, 2016
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        Worldwide Governance indicators reports aggregate and individual governance indicators for 215 economies over the period 1996–2015. The governance indicators presented here reflect the statistical compilation of responses on the quality of governance given by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries, as reported by a number of survey institutes, think tanks, non-governmental organizations, and international organizations. The aggregate indicators do not reflect the official views of the World Bank, its Executive Directors, or the countries they represent. Measure description:Estimate:-Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance)*Standard error (StdErr):-*Standard error reflects variability around the point estimate of governance.Number of sources (NumSrc):-Number of data sources on which estimate is based*Rank:- *Percentile rank among all countries (ranges from 0 (lowest) to 100 (highest) rank)Lower:- Lower bound of 90% confidence interval for governance, in percentile rank terms*Upper:- *Upper bound of 90% confidence interval for governance, in percentile rank terms
      • Ноябрь 2015
        Источник: Wine Institute
        Загружен: Knoema
        Дата обращения к источнику: 15 сентября, 2016
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        Vineyard acreage is based on United Nations Food & Agriculture Organization (FAO) data, Eurostat data and estimates and reports from individual countries. It includes vineyards used for the production of wine variety grapes, raisin variety grapes, table grapes (for the fresh market) and juice grapes (for the production of grape juice and grape juice concentrate). Wine consumption includes data for 225 countries during the period. Consumption has been estimated by TDA by aggregating the exports of the major wine producing countries to each individual country. The aggregation includes 41 countries including the EU 28, Argentina, Australia, Canada, China, Chile, Hong Kong, New Zealand, Singapore, South Africa, South Korea, Ukraine, United States, and Uruguay. The November 2015 revision pertains to Sweden. Wine production quantity indicated for China does not include the production of Chinese yellow wine; quantity indicated for Japan does not include the production of Sake; quantity indicated for Korea does not include the production of fruit wine and rice wine.
      • Май 2017
        Источник: World Trade Organization
        Загружен: Knoema
        Дата обращения к источнику: 18 мая, 2017
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        Note: Merchandise Exports data for Hong Kong, China covers re-exports only.
      • Июль 2016
        Источник: World Trade Organization
        Загружен: Knoema
        Дата обращения к источнику: 16 августа, 2016
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        WTO statistical data sets: Total merchandise trade, Merchandise trade by commodity, Network of world merchandise trade, Selected regional integration agreements, Trade in commercial services, Merchandise trade indices.