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Argentine

  • Président :Mauricio Macri
  • Vice-président:Gabriela Michetti
  • Capitale:Buenos Aires
  • Langues:Spanish (official), Italian, English, German, French, indigenous (Mapudungun, Quechua)
  • Gouvernement
  • Bureau de statistique national
  • Population:43 416 755 (2015)
  • Superficie:2 736 690 (2015)
  • PIB par habitant:13 432 (2015)
  • GDP, billion current US$:583,2 (2015)
  • Indice de GINI:42,67 (2014)
  • Classement Facilité à faire des affaires:116 (2017)
Tous les ensembles de données:  2 3 A B C D E F G H I J K L M N O P Q R S T U V W
  • 2
    • février 2013
      Source : United Nations Office on Drugs and Crime
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      Percentage of homicides by firearm, number of homicides by firearm and homicide by firearm rate per 100,000 population.Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person.
  • 3
  • A
  • B
    • mai 2017
      Source : Baker Hughes
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      Accès le : 10 mai, 2017
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    • février 2017
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 15 février, 2017
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      Since the collection of 2009 data, the scope of the OECD Global Insurance Statistics questionnaire has been expanded. These changes led to the collection of key balance sheet and income statement items for direct insurance and reinsurance sectors, such as: gross claims paid, outstanding claims provision (changes), gross operating expenses, commissions, total assets, gross technical provisions (of which: unit-linked), shareholder equity, net income.
    • juin 2015
      Source : Barro-Lee
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      Accès le : 12 octobre, 2015
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    • août 2015
      Source : Barro-Lee
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      Accès le : 12 octobre, 2015
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    • janvier 2016
      Source : Bertelsmann Stiftung
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      Accès le : 21 septembre, 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.
    • mai 2016
      Source : Federal Institute for Geosciences and Natural Resources
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      Accès le : 21 avril, 2017
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    • septembre 2016
      Source : National Statistics Bureau, Bhutan
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      Accès le : 12 janvier, 2017
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      Bhutan : Tourism Statistics, 2015
    • avril 2014
      Source : United Nations Conference on Trade and Development
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      Accès le : 08 février, 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.
    • octobre 2016
      Source : World Bank
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      Accès le : 11 novembre, 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
    • mars 2017
      Source : Bank for International Settlements
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      Accès le : 24 avril, 2017
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      >All series on credit to the non-financial sector cover 44 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits.   >All series are published in local currency, in US dollars and as percentages of nominal GDP. The regional aggregates as percentages of GDP are calculated based on conversion to the US dollar at market and at purchasing power parity (PPP) exchange rates.
    • mars 2017
      Source : Bank for International Settlements
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      Accès le : 24 mars, 2017
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      Measure for all Combinations - Amounts Outstanding / Stocks
    • janvier 2017
      Source : Bank for International Settlements
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      Accès le : 13 février, 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
    • mai 2017
      Source : Bank for International Settlements
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      Accès le : 16 mai, 2017
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    • janvier 2017
      Source : Bloomberg
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      Accès le : 23 janvier, 2017
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      Bloomberg innovation index ranks countries and sovereigns based on their overall ability to innovate. It considers six equally weighted metrics, and their scores are combined to provide an overall score for each country from zero to 100.1. Research & Development: Research and development expenditure as a percentage of GDP2. Manufacturing: Manufacturing value-added per capita3. Productivity: GDP and GNI per employed person age 15+4. High-tech companies: Number of domestically domiciled high-tech public companies—such as aerospace and defense, biotechnology, hardware, software, semiconductors, Internet software and services, and renewable energy companies – as a share of world's total high-tech public companies5. Tertiary efficiency: Total enrolment in tertiary education, regardless of age, as a percentage of postsecondary cohort; minimum share of labor force with at least tertiary degrees; annual new science and engineering graduates as a percentage of the labor force and as a percentage of total tertiary graduates6. Researcher concentration: Professionals, including Ph.D. students, engaged in R&D per 1 million population7. Patents: Resident utility patent filings per 1 million population and per $1 million of R&D spent; utility patents granted as a percentage of world totalBloomberg innovation index evaluated more than 200 countries of which only 78 had data for at least six of the seven factors. Postsecondary education and patent activity consisted of multiple factors that were weighted equally. Weights were rescaled for countries with some but not all of the factors in those two metrics. The ranking shows only those countries included in the top 50.
    • juin 2016
      Source : BP
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      Accès le : 21 juin, 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.
    • juin 2016
      Source : BP
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      Accès le : 27 juin, 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.
    • juin 2016
      Source : Food and Agriculture Organization
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      Accès le : 10 février, 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.
    • avril 2015
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 21 août, 2015
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in this view of “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria)). The two tables that follow, “BERD by industry and source of funds” and “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 24 mars, 2017
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by source of funds (business enterprise, government, other national funds, and funds from abroad). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and source of funds” and the one that follows, “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 24 mars, 2017
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2000 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by type of costs (current expenditure, capital expenditure). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and type of costs” and the preceding one “BERD by industry and source of funds” present data for only one of the criteria, depending on the country.
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 18 mai, 2016
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      This table presents research and development (R&D) statistics on personnel in the business enterprise sector. Measured in full-time equivalent are the number of total R&D personnel and researchers in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification.
    • juin 2014
      Source : Economist Intelligence Unit
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      Accès le : 12 janvier, 2015
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      The business rankings model measures the quality or attractiveness of the business environment in the 82 countries covered by The Economist Intelligence Unit’s Country Forecast reports. It is designed to reflect the main criteria used by companies to formulate their global business strategies, and is based not only on historical conditions but also on expectations about conditions prevailing over the next five years. This allows the Economist Intelligence Unit to utilise the regularity, depth and detail of its forecasting work to generate a unique set of forward-looking business environment rankings on a regional and global basis.
    • décembre 2014
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 09 septembre, 2016
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      Institutional coverage As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Business written in the reporting country on a gross and net premium basis. It contains a breakdown between domestic companies, foreign-controlled companies and branches and agencies or foreign companies.
    • février 2012
      Source : Federal State Statistics Service, Russia
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      Внешняя торговля товарами Российской Федерации по странам партнерам, 1995-2011
  • C
    • décembre 2015
      Source : World Resources Institute
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      Accès le : 26 février, 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.
    • mars 2016
      Source : International Organization of Motor Vehicle Manufacturers
      Téléchargé par : Knoema
      Accès le : 11 avril, 2017
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      OICA Car Production Statistics 1999-2016 contains world motor vehicle production statistics, obtained from national trade organisations, OICA members or correspondents. Passenger cars are motor vehicles with at least four wheels, used for the transport of passengers, and comprising no more than eight seats in addition to the driver's seat. Commercial vehicles include light commercial vehicles, heavy trucks, coaches and buses.
    • août 2013
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 24 septembre, 2014
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      Transactions within the international production network and imports and exports of final goods and services can be estimated by using an inter-country economic model based on multi-regional input-output (MRIO) modelling techniques. In order to achieve this, national Input-Output tables are first converted to a common currency (nominal USD) and the import matrices are disaggregated to separate bilateral flows of goods and services. A range of adjustments to deal with measurement issues such as re-exports; unspecified partners and commodities; and missing data, particularly for trade in services, are necessary before the analysis.
    • juillet 2015
      Source : United Nations Economic Commission for Europe
      Téléchargé par : Knoema
      Accès le : 20 octobre, 2015
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    • janvier 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 22 septembre, 2016
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    • décembre 2012
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 05 septembre, 2016
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    • août 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 08 août, 2016
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      Institutional coverage As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Commissions in the reporting country, containing a breakdown between domestic companies, foreign-controlled companies and branches and agences of foreign companies.
    • février 2017
      Source : Food and Agriculture Organization
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      Accès le : 01 mars, 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.
    • mars 2016
      Source : UNESCO Institute for Statistics
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      Accès le : 22 mars, 2016
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    • juin 2012
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 11 septembre, 2014
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      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.   
    • mars 2017
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 19 avril, 2017
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      The 'Consumer Prices (MEI)' dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 35 OECD member countries and for some non-member countries. The 'Consumer Prices (MEI)' dataset itself contains statistics on Consumer Price Indices. The data series presented have been chosen as the most relevant prices statistics in the MEI database for which comparable data across countries is available. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data), and are presented as an index where the year 2010 is the base year.
    • décembre 2016
      Source : International Monetary Fund
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      Accès le : 13 février, 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).
    • décembre 2016
      Source : Transparency International
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      Accès le : 30 janvier, 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.
    • février 2017
      Source : Numbeo
      Téléchargé par : Knoema
      Accès le : 07 mars, 2017
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      These indices are relative to New York City (NYC). Which means that for New York City, each index should be 100(%). If another city has, for example, rent index of 120, it means rents in average in that city are 20% more expensive than in New York City. If a city has rent index of 70, that means in the average in that city rents are 30% less expensive than in New York City. Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods price, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent). Rent Index is estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price for renting in that city is 80% of price in New York. Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses "Markets"section of each city. Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC. Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent in the city comparing to New York City. Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy 60% less typical goods and services than New York City residents with an average salary.
    • novembre 2012
      Source : Freedom House
      Téléchargé par : Knoema
      Accès le : 12 décembre, 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.
    • avril 2015
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 20 août, 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.
    • novembre 2015
      Source : Bloom Consulting
      Téléchargé par : Knoema
      Accès le : 02 mai, 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.
    • décembre 2016
      Source : Federal Financial Institutions Examination Council
      Téléchargé par : Knoema
      Accès le : 03 avril, 2017
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      Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report
    • juillet 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 02 novembre, 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
    • juillet 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 29 juillet, 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
    • avril 2016
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 18 avril, 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.
    • décembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 10 février, 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).
    • février 2013
      Source : RAND Corporation
      Téléchargé par : Knoema
      Accès le : 18 novembre, 2015
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      This report describes the results of a study of the sources and reliability of the supply of imported materials on which United States manufacturers are dependent. It should be of interest to a broad spectrum of individuals and organizations in the materials and manufacturing sectors as well as government, private sector, and non-profit organizations involved with or concerned about those sectors. This research was sponsored by the National Intelligence Council and conducted within the Intelligence Policy Center of the RAND National Defense Research Institute, a federally funded research and development center sponsored by the Office of the Secretary of Defense, the Joint Staff, the Unified Combatant Commands, the Navy, the Marine Corps, the defense agencies, and the defense Intelligence Community
    • juin 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 10 février, 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.
    • décembre 2016
      Source : European Commission
      Téléchargé par : Knoema
      Accès le : 25 avril, 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
    • juin 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 10 février, 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.
    • mai 2017
      Source : Pan American Health Organization
      Téléchargé par : Knoema
      Accès le : 19 mai, 2017
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      1. Incidence rate (autochthonous suspected + autochthonous confirmed) / 100,000 population.2. Deaths among Zika cases do not include deaths related to Guillain-Barré syndrome (GBS) or congenital malformations associated with Zika virus infection. As of 12 May 2016, previously reported deaths related to GBS were removed from this total.3. Confirmed congenital syndrome associated with Zika virus infection case definition: Live newborn who meets the criteria for a suspected case of congenital syndrome associated with Zika virus AND Zika virus infection was detected in specimens of the newborn, regardless of detection of other pathogens
  • D
    • mars 2015
      Source : Bank of Canada
      Téléchargé par : Kirill Kosenkov
      Accès le : 27 juillet, 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.
    • mars 2014
      Source : Center for Systemic Peace
      Téléchargé par : Knoema
      Accès le : 08 août, 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
    • mai 2016
      Source : Economist Intelligence Unit
      Téléchargé par : Knoema
      Accès le : 23 juin, 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
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 21 février, 2017
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      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business datawhere composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Click to collapse Item coverage Outstanding investment by direct insurance companies, classified by investment category, by the companies' nationality and by its destination (domestic or foreign). As of 2009, investment data exclude assets linked to unit-linked products sold to policyholders.
    • mars 2016
      Source : Institute for Health Metrics and Evaluation
      Téléchargé par : Knoema
      Accès le : 24 août, 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.
    • décembre 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 10 mars, 2017
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      Notes: 1. Korea’s actual number of hosts may be underestimated as the ISC survey methodology relies on ARPA zone information which is not reported by Korean network Tables used in this dataset are: 1. Table 2.55. Internet hosts by domain, 1998-2014 2. Table 2.56. Web servers by domain, 2000-14 3. Table 2.50. Domain name registrations under top level domains, 2000-2014
    • décembre 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 01 mars, 2017
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      Note: 1. The IPv6 user ratio record the percentage of users within each country who are capable of using IPv6. The value is derived from an experimental process that involves testing a randomly selected set of end users on a daily basis. The country codes reflect the location of the recipient of the address allocation and not necessarily that of the location of deployment of the addresses. 2. The data point is end of Ocotber for 2014. 3. Average of daily numbers collected throughout September and October 2014.   Tables that are included to this dataset. Table 2.44. Routed autonomous systems by country, 1997-2014Table 2.45. IPv6 cumulative allocations by RIRTable 2.46. IPv6 allocations by RIR, yearly basisTable 2.47. IPv4 and IPv6 enabled autonomous systems per country, 2014Table 2.48. IPv6 user penetration ratesTable 2.49. Percentage of Content (Web page) available over IPv6 Table 2.51. Cumulative total of IPv4 address allocations by country, 1997-2014Table 2.52. Routed IPv4 addresses by country, 1997-2014Table 2.53. Routed autonomous systems by country and type, 2014Table 2.54. Average routed IPv4 addresses per AS by country, 1997-2014
    • mai 2007
      Source : International Telecommunication Union
      Téléchargé par : Knoema
      Accès le : 28 mai, 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.
    • juillet 2016
      Source : Bureau of Economic Analysis
      Téléchargé par : Knoema
      Accès le : 27 décembre, 2016
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      Direct Investment Abroad: Financial Transactions without Current-Cost Adjustment, United States 2015
    • juillet 2016
      Source : Bureau of Economic Analysis
      Téléchargé par : Knoema
      Accès le : 27 décembre, 2016
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      Direct Investment Abroad: Reinvestment of Earnings Without Current Cost Adjustment, United States 2015
    • juillet 2016
      Source : Bureau of Economic Analysis
      Téléchargé par : Knoema
      Accès le : 26 décembre, 2016
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      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States 2015
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 25 novembre, 2016
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      It presents the different transactions and balances to get from the GDP to the net lending/net borrowing. Therefore, it includes, in particular, national disposable income (gross and net), consumption of fixed capital as well as net saving.
    • mars 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 20 avril, 2016
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      1. ccTLDs stands for country code Top Level Domains.2. gTLDs - stands for generic top-level domains.
    • janvier 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 18 mars, 2016
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    • décembre 2008
      Source : Institute for Health Metrics and Evaluation
      Téléchargé par : 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
    • octobre 2016
      Source : Fraser Institute
      Téléchargé par : Knoema
      Accès le : 07 décembre, 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.
    • novembre 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 17 février, 2017
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      The OECD Economic Outlook analyses the major economic trends over the coming 2 to 3 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual for the projection period. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Quarterly National Accounts, the Annual National Accounts, the Labour Force Statistics and the Main Economic Indicators. The cut-off date for information used in the compilation of the projections was the 16 November 2016. Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for the major non-OECD economies. Thus, besides OECD and the OECD euro area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.
    • décembre 2012
      Source : Liberia Institute of Statistics & Geo-Information Services
      Téléchargé par : Knoema
      Accès le : 21 mai, 2013
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    • janvier 2016
      Source : Ministry of Finance, Government of India
      Téléchargé par : Knoema
      Accès le : 17 mars, 2016
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      Source: Department of Commerce based on DGCI&S data. The dataset provides the data on the direction of imports and exports by regions and Countries in rupee crores and U.S. dollar, million.
    • septembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 23 novembre, 2015
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      Countries report expenditures by public institutions, government-dependent private institutions, and independent private institutions. These expenditure figures are intended to represent the total cost of services provided by each type of institution, without regard to sources of funds (whether they are public or private). Expenditure is classified into current and capital expenditure. Current expenditure is then broken down, into expenditure on compensation of personnel, and expenditure on other (non-personnel) resources.
    • décembre 2015
      Source : United Nations Development Programme
      Téléchargé par : Misha Gusev
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      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 09 juin, 2016
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      The classification of personnel is based on functions and organises staff into four main functional categories: 1) Instructional Personnel; including two sub-groups: A. Classroom Teachers (ISCED 0-4) and Academic Staff (ISCED 5-6); and B. Teacher Aides (ISCED 0-4) and Teaching / Research Assistants (ISCED 5-6); 2) Professional Support for Students; including two sub-groups: A. Pedagogical Support (ISCED 0-4) and Academic Support (ISCED 5-6); B. Health and Social Support (ISCED 0-6); 3) Management/Quality Control/Administration; including four subgroups: A. School Level Management (ISCED 0-6); B. Higher Level Management (ISCED 0-6); C. School Level Administrative Personnel (ISCED 0-6); and D. Higher Level Administrative Personnel (ISCED 0-6); 4) Maintenance and Operations Personnel.
    • décembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 13 janvier, 2017
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    • juin 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 10 février, 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.
    • juin 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 26 décembre, 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.
    • février 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • février 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • février 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • février 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • février 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 09 février, 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).
    • mai 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 18 mai, 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:
    • mars 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 31 mars, 2016
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      The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source. Concepts Classifications Data are collected by the OECD using the methodologies established by the Coordinating Working Party on Fishery Statistics (CWP) (www.fao.org/fishery/cwp/search/en). This inter-agency body, created in 1960 to develop common procedures and standards for the collation of fisheries statistics, provides technical advice on fishery statistical matters. Its handbook of Fishery Statistical Standards comprises definitions of the various concepts used in fishery statistics, with the exception of Government Financial Transfers which is unique to the OECD. All other statistics are based on the CWP definitions. The OECD, a partner with the CWP, additionally collects information on values for its landings and records the breakdown between the types of landings (i.e. landings in domestic ports, landings in foreign ports) data series which are not collected by the FAO. While a number of countries cover landings in a similar fashion, the same does not hold true for capacity (feet/meters, GRT/engine powers), or for employment for which both Full-time equivalents or numbers of people are used. The OECD therefore does not duplicate FAO statistics but requests complementary information to feed its analytical work.
    • avril 2012
      Source : Ministry of Statistics and Programme Implementation, Government of India
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      Accès le : 25 décembre, 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.
    • septembre 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 avril, 2017
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      Enrollment rate per age is the percentage of students enrolled in each type of institution over the total of students.
    • juin 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 10 février, 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
    • mars 2017
      Source : World Bank
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      Accès le : 13 avril, 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.
    • octobre 2015
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 27 octobre, 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.
    • janvier 2017
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 19 janvier, 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.
    • janvier 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 26 octobre, 2016
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    • août 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 08 septembre, 2014
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    • janvier 2016
      Source : Environmental Performance Index
      Téléchargé par : Knoema
      Accès le : 09 mars, 2016
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    • janvier 2016
      Source : Environmental Performance Index
      Téléchargé par : Knoema
      Accès le : 08 mars, 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.
    • août 2011
      Source : Multiple Sources
      Téléchargé par : Knoema
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      A compilation of monthly closing stock indices for major stock exchanges across the World. This dataset is updated on a monthly basis.
    • septembre 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 04 octobre, 2016
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    • septembre 2015
      Source : Multiple Sources
      Téléchargé par : Knoema
      Accès le : 10 septembre, 2015
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    • décembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 13 mars, 2017
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      Monthly prices for about 600 fish products and an overview of the major trends on the European market, reported by an extensive correspondent network. Abstract: May is the generally the time of the year when traders are restocking for the summer sales. This year, the relatively higher value of the euro has made European importers competitive again on the world market, and sales are quite strong at the moment.With 30 Members having formally deposited their instruments of adherence, the Port State Measures Agreement (PSMA), an international accord intended to combat Illegal, Unregulated and Unreported (IUU) fishing, is set to become international law on 5 June 2016,. The PSMA, whose development through international dialogue and expert consultation has been driven and coordinated by FAO, focuses on preventing IUU fishing by requiring that parties designate specific ports for use by foreign vessels and introducing controls and procedures to make it more difficult for IUU fish to enter national or international markets.
    • mai 2017
      Source : XE
      Téléchargé par : Knoema
      Accès le : 23 mai, 2017
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      This dataset contains the exchange rate of 1USD to their country local currency.
    • octobre 2015
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 22 octobre, 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.
    • mars 2015
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 29 avril, 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.
    • octobre 2016
      Source : InterNations
      Téléchargé par : Knoema
      Accès le : 11 novembre, 2016
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    • septembre 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 octobre, 2014
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      Countries report expenditures by sources of funds: Governement (central, regional, local); International agencies and other foreign sources; Households and Other private entities (including firms and religious institutions and other non-profit organisations). Three types of financial transactions can be distinguished: -direct expenditure/payments on educational institutions -Intergovernmental transfers for education -Transfers to students or households and to other private entities.
    • juillet 2012
      Source : Knoema
      Téléchargé par : Knoema
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      Source : United States Department of Agriculture; International Monetary Fund; UN Department of Economic and Social Affairs; Food and Agriculture Organization, The World Bank
    • août 2016
      Source : U.S. Department of Agriculture
      Téléchargé par : Knoema
      Accès le : 01 septembre, 2016
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      Percent of household final consumption expenditures spent on food, alcoholic beverages, and tobacco that were consumed at home, 2009-2012. The data are computed by Birgit Meade (202-694-5159), ERS/USDA, EUROMONITOR data, June 2015.
    • septembre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 06 octobre, 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.
    • juillet 2014
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 16 juillet, 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).
    • février 2016
      Source : Coffee Board of India
      Téléchargé par : Knoema
      Accès le : 22 juin, 2016
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    • septembre 2013
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 10 octobre, 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).
    • mars 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 01 avril, 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
    • février 2017
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 01 mars, 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.
    • juillet 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 03 août, 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.
    • décembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 12 janvier, 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.    
    • juin 2012
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 18 juillet, 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).
    • décembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 12 janvier, 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).
    • août 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 21 décembre, 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.
    • octobre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 03 janvier, 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.
    • novembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 27 décembre, 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.
    • février 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 26 février, 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
    • octobre 2011
      Source : Food and Agricultural Policy Research Institute
      Téléchargé par : Knoema
      Accès le : 25 décembre, 2012
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      FAPRI U.S. and World Outlook presents multi-year projections for the United States and world agricultural sectors. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. These reports have been produced annually and used by congressional and agricultural leaders since 1985.
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 05 avril, 2017
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      FDI data are based on statistics provided by 35 OECD member countries.
    • mai 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 17 mai, 2016
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    • mai 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 12 mai, 2016
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    • mai 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 12 mai, 2016
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    • avril 2017
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 12 mai, 2017
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    • juin 2010
      Source : International Federation of Association Football
      Téléchargé par : Knoema
      Accès le : 20 juin, 2014
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      FIFA is the international governing body of association football, futsal and beach soccer. Its membership comprises 209 national associations. Its headquarters are in Zurich, Switzerland, and its president is Sepp Blatter. FIFA is responsible for the organisation of football's major international tournaments, notably the World Cup.
    • août 2013
      Source : International Fertilizer Industry Association
      Téléchargé par : Knoema
      Accès le : 30 octobre, 2013
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      Assessment of Fertilizer Use by Crop at the Global Level 2011. Fully understanding the contribution of the different crop types to fertilizer use at national, regional and global levels is a prerequisite to the development of sound fertilizer demand forecasts. IFA gathers information on fertilizer use by crop in the main fertilizer-consuming countries. IFA's Assessment currently covers 23 countries (considering the EU-27 as a single country), which account together for more than 90% of world fertilizer consumption, making it possible to analyze fertilizer use by crop type at the global level.
    • mai 2017
      Source : International Federation of Association Football
      Téléchargé par : Knoema
      Accès le : 13 mai, 2017
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      Monthly updates of FIFA World Football Men's Ranking 
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 18 novembre, 2016
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      It presents the final consumption expenditure of households broken down by the COICOP (Classification of Individual Consumption According to Purpose) classification and by durability.  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • octobre 2016
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 07 octobre, 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.
    • mai 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 15 mai, 2017
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      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • mars 2017
      Source : Statistics Finland
      Téléchargé par : Knoema
      Accès le : 10 avril, 2017
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      The statistics present information about total consumption of energy, electricity production and total consumption and imports and exports of energy.
    • octobre 2016
      Source : Statistics Finland
      Téléchargé par : Knoema
      Accès le : 04 novembre, 2016
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      Direct investments to Finland describe the capital that a foreign investor has invested directly in a unit located in Finland under the investors' control or influence.
    • mai 2016
      Source : Statistics Finland
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      Accès le : 05 juillet, 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.
    • avril 2016
      Source : Statistics Finland
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      Accès le : 13 juillet, 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.
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 04 avril, 2017
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      The OECD FSE database is intended to be the best source of information on fisheries policies in OECD members and participating non-OECD economies. It is designed to monitor and quantify developments in fisheries policy, to establish a common basis for policy dialogue among countries, and to provide economic data to assess the effectiveness and efficiency of policies. The FSE data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies.Data on landings, aquaculture production, fleet, employment in the fisheries sector, and fishery support estimate are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The survey used for this exercise is the OECD Fisheries data questionnaire.   The annual time unit normally used in fishery statistics is the calendar or civil year, i.e., the period between 1 January and 31 December.
    • mai 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 27 juin, 2016
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      Fisheries fleet: The FAO has a two dimensional definition, of which the OECD only uses the concept of fishing vessel. Fishery Fleet: The term "fishery fleet" or "fishery vessels" refers to mobile floating objects of any kind and size, operating in freshwater, brackishwater and marine waters which are used for catching, harvesting, searching, transporting, landing, preserving and/or processing fish, shellfish and other aquatic organisms, residues and plants.Fishing vessel: The term "fishing vessel" is used instead when the vessel is engaged only in catching operations. Gross Register Tonnage: The Gross Register Tonnage represents the total measured cubic content of the permanently enclosed spaces of a vessel, with some allowances or deductions for exempt spaces such as living quarters (1 gross register ton = 100 cubic feet = 2.83 cubic metres).
    • février 2017
      Source : Food and Agriculture Organization
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      Accès le : 01 mars, 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.
    • février 2017
      Source : Food and Agriculture Organization
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      Accès le : 20 février, 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.
    • février 2017
      Source : Food and Agriculture Organization
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      Accès le : 17 février, 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.
    • février 2017
      Source : Food and Agriculture Organization
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      Accès le : 01 mars, 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.
    • septembre 2014
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 04 octobre, 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.
    • octobre 2016
      Source : United Nations Conference on Trade and Development
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      Accès le : 30 décembre, 2016
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    • juin 2014
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 11 décembre, 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
    • mai 2017
      Source : U.S. Census Bureau
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      Accès le : 08 mai, 2017
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    • juin 2016
      Source : Saudi Arabian Monetary Agency
      Téléchargé par : Knoema
      Accès le : 18 juillet, 2016
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    • juillet 2015
      Source : United Nations Economic Commission for Europe
      Téléchargé par : Knoema
      Accès le : 21 décembre, 2015
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    • juin 2015
      Source : United Nations Economic Commission for Europe
      Téléchargé par : Knoema
      Accès le : 26 mai, 2016
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    • mars 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 21 décembre, 2016
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    • décembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 04 janvier, 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/
    • décembre 2016
      Source : Carbon Dioxide Information Analysis Center
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      Accès le : 17 mai, 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)
    • juin 2016
      Source : Fund for Peace
      Téléchargé par : Knoema
      Accès le : 30 novembre, 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.
    • janvier 2017
      Source : Freedom House
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      Accès le : 03 janvier, 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.
    • avril 2012
      Source : Public Accountability Mechanisms
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      Experts commonly support the notion that access to information is integral to the promotion of participation, transparency and accountability in any given society. A freedom of information framework aims at improving the efficiency of the government and increasing the transparency of its functioning by: 1. Regularly and reliably providing government documents to the public; 2. Educating the public on the significance of transparent government;3. Facilitating appropriate and relevant use of information in the lives of individuals
    • novembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 22 février, 2016
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      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at:http://www.oecd.org/dataoecd/0/49/38356329.pdf. Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
    • octobre 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 01 mars, 2017
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      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at: http://www.oecd.org/dataoecd/0/49/38356329.pdf. Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
  • G
    • mars 2017
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 21 avril, 2017
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      The G20 CPI has been calculated for the headline indicators only (CPI All items / HICP Total). It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year's relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs). Other Aspects Recommended uses and limitations The G20 consists of the following economies: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Korea, Mexico, the Russian Federation, Saudi Arabia, South Africa, Turkey, the United Kingdom, the United States, and the European Union. The G20 aggregate is calculated taking the fifteen individual country members of the G20 (other than France, Germany, Italy and the United Kingdom) plus the European Union as an aggregate. In calculating the monthly percentage change of the CPI G20 aggregate, the officially reported data for Argentina have been used. Data from January 2014 onwards exclude Argentina during 2014 for annual inflation rates and index series (2010=100).
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 14 avril, 2017
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      Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries (with the exception of Turkey) that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey. It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year’s relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs). The table presents the data for all non-EU countries. The HICP tables for France, Germany, Italy, the United Kingdom, and the euro area and European Union can be found under the HICP tables.
    • mars 2017
      Source : Global Database of Events, Language, and Tone
      Téléchargé par : Knoema
      Accès le : 10 mars, 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."
    • mai 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 20 mai, 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:
    • mai 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 21 mai, 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:
    • janvier 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 février, 2017
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      This dataset includes gender inequality and development indices.
    • avril 2017
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 03 mai, 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.
    • février 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 17 février, 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.
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 12 juillet, 2016
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      It provides a faithful image, to the greatest extent possible, of the aggregates and balances of the general government sector in the SNA 1993 conceptual framework. In addition, it brings to light two relevant aggregates that do not belong to this conceptual frame work: the Total Revenue and the Total Expenditure of the general government sector.Unit of measure used - National currency; current prices. Expressed in millions.
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 21 février, 2017
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      This part contains general information on number of insurance companies and employees within the sector.
    • décembre 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 janvier, 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.
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 08 juillet, 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.
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 02 décembre, 2016
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    • août 2016
      Source : German Chemicals Industry Association
      Téléchargé par : Knoema
      Accès le : 05 mai, 2017
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      Facts and figures for chemistry (2016), Foreign Trade
    • novembre 2016
      Source : Emission Database for Global Atmospheric Research
      Téléchargé par : Knoema
      Accès le : 24 mars, 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.
    • octobre 2015
      Source : HelpAge International
      Téléchargé par : Knoema
      Accès le : 16 octobre, 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.
    • janvier 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 21 juillet, 2016
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      This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
    • janvier 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 21 juillet, 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
    • juin 2016
      Source : Deloitte
      Téléchargé par : Knoema
      Accès le : 02 juin, 2016
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      With the release of the 2016 Global Manufacturing Competitiveness Index (GMCI), Deloitte Touche Tohmatsu Limited (Deloitte Global) and the Council on Competitiveness (the Council) in the US build upon the GMCI research, with prior studies published in 2010 and 2013. The results of the 2016 study clearly show the ongoing influence manufacturing has on driving global economies. From its influence on infrastructure development, job creation, and contribution to gross domestic product (GDP) on both an overall and per capita basis, a strong manufacturing sector creates a clear path toward economic prosperity.
    • janvier 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 21 juillet, 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.
    • novembre 2016
      Source : DHL
      Téléchargé par : Knoema
      Accès le : 07 décembre, 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.
    • février 2015
      Source : International Telecommunication Union
      Téléchargé par : Knoema
      Accès le : 15 juillet, 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.
    • décembre 2015
      Source : Global Democracy Ranking
      Téléchargé par : Knoema
      Accès le : 06 janvier, 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.
    • juillet 2013
      Source : ONE
      Téléchargé par : Knoema
      Accès le : 10 juillet, 2013
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      Dataset represents the results of the survey, conducted in order to reveal people's expectations about the improvments that they think are of primary importance when determining Global Development Goals on post-2015 period.
    • décembre 2011
      Source : Global Facility for Disaster Reduction and Recovery
      Téléchargé par : 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.
    • août 2015
      Source : Grant Thornton
      Téléchargé par : Knoema
      Accès le : 16 octobre, 2015
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      The Grant Thornton Global Dynamism Index (GDI) ranks 60 leading economies on their dynamism in five key areas – business operating environment, economics & growth, science & technology, labour & human capital and financing environment. The GDI analyses 22 indicators across these five categories to assess the dynamism of business growth environments around the world, where dynamism refers to the changes in an economy over the past 12 months which are likely to lead to a faster future rate of growth.
    • décembre 2016
      Source : Emission Database for Global Atmospheric Research
      Téléchargé par : Knoema
      Accès le : 20 avril, 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.
    • mars 2017
      Source : World Economic Forum
      Téléchargé par : Knoema
      Accès le : 19 avril, 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"
    • décembre 2015
      Source : Global Energy Network Institute
      Téléchargé par : Knoema
      Accès le : 21 juillet, 2016
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      Data for 2005 but still gives a general idea as to the status of Japan compared to other developed countries.
    • juin 2016
      Source : Enerdata
      Téléchargé par : Knoema
      Accès le : 02 août, 2016
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      Enerdata is an independent Research & Consulting firm on the global oil, gas, coal, power, renewable and carbon markets established in 1991. Total energy consumption - for each energy product it is the sum of primary production, external trade, marine bunkers (fuel used by boats and aircraft for international transport) and stock variations. For the world, marine bunkers are included. This induces a gap with the sum of regions. Total primary production evaluates the quantity of natural energy resources. Total balance of trade is the difference between exports and imports. The balance of a net exporter appears as a negative value (-). The balance of geographic and geopolitical zones is simply the sum of the trade balance of all the countries. The energy intensity is calculated by dividing the total energy consumption of a country by its Gross Domestic Product (GDP). It measures the total amount of energy necessary to generate one unit of GDP. GDP is expressed at constant exchange rate and purchasing power parity to remove the impact of inflation and reflect differences in general price levels and relate energy consumption to the real level of economic activity. Using purchasing power parity rates for GDP instead of exchange rates increases the value of GDP in regions with a low cost of living, and therefore decreases their energy intensities. Total energy includes coal, gas, oil, electricity, heat and biomass.
    • janvier 2017
      Source : Global Entrepreneurship and Development Institute
      Téléchargé par : Knoema
      Accès le : 01 février, 2017
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      Global Entrepreneurship Index provides information about global entrepreneurship subIndex ranks and scoring of all countries.It also provides information about certain indicators like attitudes,abilities and aspirations with their ranks and scores
    • mars 2016
      Source : Global Entrepreneurship Monitor
      Téléchargé par : Knoema
      Accès le : 23 mars, 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.  
    • mars 2017
      Source : Global Entrepreneurship Monitor
      Téléchargé par : Knoema
      Accès le : 12 avril, 2017
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      The GEM National Expert Survey (NES) monitors the factors that are believed to have a significant impact on entrepreneurship, known as the Entrepreneurial Framework Conditions (EFCs). It is administered to a minimum of 36 carefully chosen 'experts' in each country. 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.
    • juin 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 18 janvier, 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
    • avril 2015
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 18 juin, 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)
    • octobre 2014
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 12 février, 2016
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      Global Financial Stability Report (GFSR) finds that six years after the start of the crisis, the global economic recovery continues to rely heavily on accommodative monetary policies in advanced economies. Monetary accommodation remains critical in supporting the economy by encouraging economic risk taking in the form of increased real spending by households and greater willingness to invest and hire by businesses. However, prolonged monetary ease may also encourage excessive financial risk taking.
    • avril 2016
      Source : GFP
      Téléchargé par : Knoema
      Accès le : 20 mai, 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
    • juin 2016
      Source : Economist Intelligence Unit
      Téléchargé par : Knoema
      Accès le : 18 août, 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.
    • septembre 2015
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 05 octobre, 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.
    • novembre 2016
      Source : World Economic Forum
      Téléchargé par : Knoema
      Accès le : 02 décembre, 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
    • septembre 2016
      Source : Dual Citizen LLC
      Téléchargé par : Knoema
      Accès le : 09 décembre, 2016
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      This 5th edition of the Global Green Economy Index (GGEI) is a data-driven analysis of how 80 countries perform in the global green economy, as well as how expert practitioners rank this performance. Since its launch in 2010, the GGEI has signaled which countries are making progress towards greener economies, and which ones are not. The comparison of national green performance and perceptions of it revealed through the GGEI framework is more important than ever today. This is because while there is far greater public and political focus on climate change and green growth now than when the GGEI was first published, often the commitments and targets communicated by leaders do not match the reality. This report will provide an overview of the newest GGEI results from the 5th edition, as well as more detail on how our research and data can enrich the work of others in this space.
    • septembre 2016
      Source : World Health Organization
      Téléchargé par : Knoema
      Accès le : 14 décembre, 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
    • octobre 2016
      Source : International Food Policy Research Institute
      Téléchargé par : Knoema
      Accès le : 10 janvier, 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 2014-2016. 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 2011-2015. 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
    • juillet 2016
      Source : World Economic Forum
      Téléchargé par : Knoema
      Accès le : 13 janvier, 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.
    • septembre 2016
      Source : Global Innovation Index
      Téléchargé par : Knoema
      Accès le : 12 janvier, 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.
    • mai 2016
      Source : Internal Displacement Monitoring Centre
      Téléchargé par : Knoema
      Accès le : 18 mai, 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).
    • février 2016
      Source : Material Flows
      Téléchargé par : Knoema
      Accès le : 14 juin, 2016
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    • décembre 2015
      Source : Global Open Data Index
      Téléchargé par : Knoema
      Accès le : 20 juillet, 2016
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    • décembre 2016
      Source : Milken Institute
      Téléchargé par : Knoema
      Accès le : 06 janvier, 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
    • juin 2016
      Source : Institute for Economics and Peace
      Téléchargé par : Knoema
      Accès le : 25 juillet, 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.
    • mai 2017
      Source : GlobalPetrolPrices.com
      Téléchargé par : Knoema
      Accès le : 16 mai, 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
    • mai 2014
      Source : Institute for Health Metrics and Evaluation
      Téléchargé par : Kirill Kosenkov
      Accès le : 27 août, 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
    • janvier 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 21 juillet, 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
    • janvier 2017
      Source : Jones Lang LaSalle
      Téléchargé par : Knoema
      Accès le : 20 avril, 2017
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      JLL’s Global Real Estate Transparency Index is a unique survey that quantifies real estate market transparency across 102 markets worldwide.The Index aims to help real estate investors, corporate occupiers, retailers and hotel operators understand important differences when transacting, owning and operating in foreign markets.
    • mars 2017
      Source : A. T. Kearney
      Téléchargé par : Knoema
      Accès le : 25 avril, 2017
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      The Global Retail Development Index™ is an annual study that ranks the top 30 developing countries for retail expansion worldwide. The Index analyzes 25 macroeconomic and retail-specific variables to help retailers devise successful global strategies and to identify developing market investment opportunities. The GRDI is unique because it identifies today's most successful markets and those that offer the most potential for the future.
    • avril 2014
      Source : United Nations Office on Drugs and Crime
      Téléchargé par : Knoema
      Accès le : 20 mai, 2016
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      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • décembre 2015
      Source : INSEAD
      Téléchargé par : Knoema
      Accès le : 24 octobre, 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.
    • mai 2011
      Source : Economist Intelligence Unit
      Téléchargé par : Knoema
      Accès le : 07 janvier, 2015
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      The Global Talen Index Report: The Outlook to 2015
    • juin 2016
      Source : KPMG
      Téléchargé par : Knoema
      Accès le : 26 septembre, 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.
    • novembre 2016
      Source : Institute for Economics and Peace
      Téléchargé par : Knoema
      Accès le : 29 novembre, 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.
    • janvier 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 21 juillet, 2016
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    • décembre 2014
      Source : World Wide Web Foundation
      Téléchargé par : Knoema
      Accès le : 04 avril, 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.
    • juillet 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 14 septembre, 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).
    • novembre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 21 décembre, 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).  
    • novembre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 01 décembre, 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.
    • août 2014
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 28 août, 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).
    • août 2014
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 28 août, 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.
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 13 octobre, 2016
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      This table presents data on Government appropriations or outlays for RD (GBAORD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge: RD financed from General University Funds (GUF), General advancement of knowledge: RD financed from sources other than GUF, Defence. Please note that in this new NABS 2007 classification, the three socio-economic objectives -- Education, Culture, recreation, religion and mass media, and Political and social systems, structures and processes -- were previously grouped under a single objective: Social structures and relationships. At the time of this publication there is no breakdown of historical data into the three new SEOs. Another issue relating to the transition from NABS 1993 to NABS 2007 is that what was formerly Other civil research is now to be distributed among the other chapters. This distribution has not yet been done in this database. Therefore, until the countries are in a position to provide breakdown according to the NABS 2007 classification, in some cases GBAORD by SEO is greater than the sum of its chapters.
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 juillet, 2016
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      The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source.
    • février 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 18 mars, 2016
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      Graduates are those who successfully complete an educational programme during the reference year of the data collection. One condition of a successful completion is that students should have enrolled in, and successfully completed, the final year of the corresponding educational programme, although not necessarily in the year of reference. Students who do not complete the final year of an educational programme, but later successfully complete a recognised "equivalency" examination based on knowledge learned outside of the education system, should not be counted as graduates. Successful completion is defined according to the graduation requirements established by each country: in some countries, completion occurs as a result of passing a final, curriculum-based examination or series of examinations. In other countries, completion occurs after a specific number of teaching hours has been accumulated (although completion of some or all of the course hours may also involve examinations).
    • septembre 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 octobre, 2014
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      Graduates are those who successfully complete an educational programme during the reference year of the data collection. One condition of a successful completion is that students should have enrolled in, and successfully completed, the final year of the corresponding educational programme, although not necessarily in the year of reference. Students who do not complete the final year of an educational programme, but later successfully complete a recognised "equivalency" examination based on knowledge learned outside of the education system, should not be counted as graduates. Successful completion is defined according to the graduation requirements established by each country: in some countries, completion occurs as a result of passing a final, curriculum-based examination or series of examinations. In other countries, completion occurs after a specific number of teaching hours has been accumulated (although completion of some or all of the course hours may also involve examinations).
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 12 juillet, 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.
    • septembre 2014
      Source : United Nations Framework Convention on Climate Change
      Téléchargé par : Knoema
      Accès le : 10 septembre, 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.
    • janvier 2015
      Source : University of Groningen
      Téléchargé par : Knoema
      Accès le : 25 février, 2016
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      The GGDC 10-Sector Database provides a long-run internationally comparable dataset on sectoral productivity performance in Asia, Europe, Latin America and the US. Variables covered in the data set are annual series of value added, output deflators, and persons employed for 10 broad sectors. It gives sectoral detail to the historical macro data in Maddison (2003) from 1950 onwards. It consists of series for 10 countries in Asia, 9 in Latin-America and 9 in Europe and the US. The data for Asia and Latin-America are based on Marcel P. Timmer and Gaaitzen J. de Vries (2007), 'A Cross-Country Database For Sectoral Employment And Productivity In Asia And Latin America, 1950-2005', GGDC Research memorandum GD-98, Groningen Growth and Development Centre, August 2007. Data for Europe and the US is based on an update of Bart van Ark (1996), Sectoral Growth Accounting and Structural Change in Post-War Europe, in B. van Ark and N.F.R. Crafts, eds., Quantitative Aspects of Post-War European Economic Growth, CEPR/Cambridge University Press, pp. 84-164. All series derived from this database need to be referred to as: "Timmer, Marcel P. and Gaaitzen J. de Vries (2009), "Structural Change and Growth Accelerations in Asia and Latin America: A New Sectoral Data Set" Cliometrica, vol 3 (issue 2) pp. 165-190."
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 07 juin, 2016
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      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Gross claims payments in the reporting country, containing a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies.
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 05 juillet, 2016
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      This table contains research and development (R&D) expenditure statistics on gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities). Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 prices and PPPs).
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 21 avril, 2016
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      Unit of measure used Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents data on Gross domestic expenditure on R&D (GERD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge, and Defence. Please note that in this new NABS 2007 classification, the three socio-economic objectives -- Education, Culture, recreation, religion and mass media, and Political and social systems, structures and processes -- were previously grouped under a single objective: Social structures and relationships. At the time of this publication there is no breakdown of historical data into the three new SEOs. Another issue relating to the transition from NABS 1993 to NABS 2007 is that what was formerly Other civil research is now to be distributed among the other chapters. This distribution has not yet been done in this database. Therefore, until the countries are in a position to provide breakdown according to the NABS 2007 classification, in some cases GERD by SEO is greater than the sum of its chapters.
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 27 juin, 2016
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table contains research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by source of funds (business enterprise, government - including public general university funds -, higher education, private non-profit and funds from abroad - including funds from enterprises and other funds from abroad).
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 24 mars, 2017
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of costs (current expenditures: labour costs, other current costs; and capital expenditures: land and buildings, and instruments and equipment).
    • mai 2017
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 03 mai, 2017
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      It presents the three approaches of the GDP: expenditure based, output based and income based. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 07 juin, 2016
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      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. This part contains gross operating expenses in the reporting country, with a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies.
    • mai 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 03 mai, 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:
    • mai 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 22 mai, 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:
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 14 avril, 2017
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      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 14 avril, 2017
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      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 14 avril, 2017
      Sélectionner ensemble de données
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 15 avril, 2017
      Sélectionner ensemble de données
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 15 avril, 2017
      Sélectionner ensemble de données
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 15 avril, 2017
      Sélectionner ensemble de données
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 15 avril, 2017
      Sélectionner ensemble de données
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 14 avril, 2017
      Sélectionner ensemble de données
      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
  • H
    • mars 2017
      Source : Department of Business, Economic Development & Tourism, State of Hawaii
      Téléchargé par : Knoema
      Accès le : 12 avril, 2017
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    • décembre 2014
      Source : Economist Intelligence Unit
      Téléchargé par : Knoema
      Accès le : 08 janvier, 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
    • décembre 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 22 décembre, 2016
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      The World Bank Health Nutrition and Population Statistics Provides key health, nutrition and population statistics gathered from a variety of international sources. Themes include population dynamics, nutrition, reproductive health, health financing, medical resources and usage, immunization, infectious diseases, HIV/AIDS, DALY, population projections and lending. HNPStats also includes health, nutrition and population statistics by wealth quintiles.
    • décembre 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 30 décembre, 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).
    • octobre 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 10 janvier, 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.
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 08 novembre, 2016
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    • mai 2017
      Source : ClinicalTrials.gov
      Téléchargé par : Knoema
      Accès le : 03 mai, 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.
    • mai 2016
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 07 octobre, 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.
    • décembre 2010
      Source : Maddison Project
      Téléchargé par : Knoema
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      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • février 2017
      Source : United Nations Development Programme
      Téléchargé par : Knoema
      Accès le : 13 avril, 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
    • avril 2017
      Source : Inter-American Development Bank
      Téléchargé par : Knoema
      Accès le : 19 mai, 2017
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      Inter American Development Bank Statistics
    • janvier 2008
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 22 septembre, 2014
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      ICT goods are those that are either intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR which use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process. ICT goods are defined by the OECD in terms of the Harmonised System.The guiding principle for the delineation of ICT goods is that such goods must either be intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process.Another guiding principle was to use existing classification systems in order to take advantage of existing data sets and therefore ensure the immediate use of the proposed standard. In this case, the underlying system is the Harmonized System (HS). The HS is the only commodity classification system used on a sufficiently wide basis to support international data comparison. A large number of countries use it to classify export and import of goods, and many countries use it (or a classification derived from or linked to it) to categorise domestic outputs.The application of the ICT product definition to selection of in-scope HS categories is a somewhat subjective exercise. The fact that the HS is not built on the basis of the functionality of products makes it much more difficult. The distinction between products which fulfil those functions and products that simply embody electronics but fundamentally fulfil other functions is not always obvious.It is possible to adopt a narrow or broad interpretation of the guideline, though the OECD chose a broader interpretation, an approach which is consistent with that adopted to develop the ICT sector definition.
    • septembre 2016
      Source : International Centre for Tax and Development
      Téléchargé par : Knoema
      Accès le : 21 septembre, 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.
    • avril 2017
      Source : International Energy Agency
      Téléchargé par : Knoema
      Accès le : 10 mai, 2017
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    • février 2011
      Source : Institute for Health Metrics and Evaluation
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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.
    • février 2011
      Source : Institute for Health Metrics and Evaluation
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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.
    • décembre 2010
      Source : Institute for Health Metrics and Evaluation
      Téléchargé par : Knoema
      Accès le : 31 juillet, 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.
    • septembre 2011
      Source : Institute for Health Metrics and Evaluation
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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.
    • décembre 2010
      Source : Institute for Health Metrics and Evaluation
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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.
    • novembre 2016
      Source : India Meteorological Department
      Téléchargé par : Knoema
      Accès le : 19 janvier, 2017
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      The IMD World Competitiveness Center is delighted to present its IMD World Talent Report 2016, which includes a talent ranking for all countries that are part of the IMD World Competitiveness Yearbook (61 countries as of 2016). The data are gathered from the Center’s extensive database, which encompasses 20 years of competitiveness-related data. In some sections of this report, we present a detailed discussion of the data (at the indicator level) from 2005 to 2016. In the indicator tables, however, we only present the 2016 data. All criteria employed in the development of this report can be accessed through the World Competitiveness Online website. The objective of the IMD World Talent Ranking is to assess the extent to which countries develop, attract and retain talent to sustain the talent pool available for enterprises operating in those economies. While the hard data used in this report have been gathered from various sources (see Appendix), the survey data were obtained from the Center’s executive opinion survey, designed for the World Competitiveness Yearbook.
    • avril 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 mai, 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.
    • mai 2014
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 26 août, 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.
    • mai 2016
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 06 février, 2017
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      Debt: Use It Wisely Drawing on an expanded data set covering emerging markets and low-income countries as well as advanced economies, this Fiscal Monitor examines the extent and makeup of global debt and asks what role fiscal policy can play in facilitating the adjustment. The analytical framework explicitly models the interlinkages between private and public debt in analyzing the role of fiscal policy in the deleveraging process. Country case studies provide useful insights on what fiscal policy should and should not do to facilitate deleveraging while minimizing the drag on the economy. Examines the extent and makeup of global debt and asks what role fiscal policy can play in facilitating the adjustment.
    • décembre 2014
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 12 avril, 2017
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      The Government Finance Statistics  http://www.imf.org/external/pubs/ft/gfs/manual/aboutgfs.htm
    • novembre 2016
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • janvier 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • janvier 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • janvier 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • janvier 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • janvier 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • janvier 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • janvier 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • août 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 27 août, 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.
    • août 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 26 août, 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.
    • août 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 26 août, 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.
    • août 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 25 août, 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.
    • août 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 25 août, 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.
    • juillet 2015
      Source : General Directorate of Statistics, Honduras
      Téléchargé par : Knoema
      Accès le : 17 juin, 2016
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    • juin 2016
      Source : U.S. Department of Homeland Security
      Téléchargé par : Knoema
      Accès le : 10 septembre, 2016
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    • février 2004
      Source : General Directorate of Statistics and National Accounts, Equatorial Guinea
      Téléchargé par : Knoema
      Accès le : 02 juin, 2013
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    • juillet 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 août, 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.
    • janvier 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 26 octobre, 2016
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    • avril 2012
      Source : Public Accountability Mechanisms
      Téléchargé par : Knoema
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      Financial declarations or income and asset disclosures (IADs) are quickly becoming an important tool for anticorruption agencies and governments to fight corruption. IAD systems can play two important roles within a broader framework of good governance: prevention and enforcement. In an effort to discover how best to design and implement an IAD system, the analysis conducted suggests that countries ultimately must design a system that best complements the environment in which it will function. However, there are several key principles that policy makers and practitioners need to consider: limit the number of filers to improve the odds of success, set modest and achievable expectations, provide resources commensurate with the mandate, prioritize verification procedures to align with available resources, and balance privacy concerns with public access to declaration.
    • septembre 2015
      Source : Pearson
      Téléchargé par : Knoema
      Accès le : 15 octobre, 2015
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      The Global Index of Cognitive Skills and Educational Attainment compares the performance of 39 countries and one region (Hong Kong) on two categories of education: Cognitive Skills and Educational Attainment. The Index provides a snapshot of the relative performance of countries based on their education outputs.List of indicators   Main sourceMain year1. Cognitive Skills  1.1  Grade 8  1.1.1  Reading Literacy - PISAOECD - PISA report20091.1.2  Mathematics Literacy - PISA and TIMSSEIU based on IEA and OECD data 1.1.2.1  PISA - Mathematics LiteracyOECD - PISA report20091.1.2.2  TIMSS - Mathematics AchievementIEA - TIMSS and PIRLS International Study Center20071.1.3  Science Literacy - PISA and TIMSSEIU based on IEA and OECD data 1.1.3.1  PISA - Science LiteracyOECD - PISA report20091.1.3.2  TIMSS - Science  AchievementIEA - TIMSS and PIRLS International Study Center20071.2  Grade 4  1.2.1  PIRLS - Reading Literacy AchievementIEA - TIMSS and PIRLS International Study Center20061.2.2  TIMSS - Mathematics  AchievementIEA - TIMSS and PIRLS International Study Center20071.2.3  TIMSS - Science  AchievementIEA - TIMSS and PIRLS International Study Center20072. Educational Attainment  2.1  Literacy rate  2.1.1  Literacy rate (15 and over), %UNESCO Institute for Statistics (UIS)20102.2  Graduation rate  2.2.1  Graduation rate at upper secondary level OECD 20102.2.2  Graduation rate at tertiary level OECD 2010
    • décembre 2016
      Source : Heritage Foundation
      Téléchargé par : Knoema
      Accès le : 14 mars, 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.
    • décembre 2016
      Source : Ministry of Statistics and Programme Implementation, Government of India
      Téléchargé par : Knoema
      Accès le : 04 avril, 2017
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      This dataset covers Value of Imports of Merchandise Into India By Principal Countries of Consignment and Value of Exports of Merchandise (Indian Produce And Manufactures) From India by Principal Countries of Destination. In addition, it has Summary Merchandise Trade By Revised Economic Regions. Note: FY2000-01 refered as 2001. Total Imports/exports includes other countries also.
    • juillet 2016
      Source : United Nations Industrial Development Organization
      Téléchargé par : Knoema
      Accès le : 22 août, 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=
    • juillet 2016
      Source : International Telecommunication Union
      Téléchargé par : Knoema
      Accès le : 10 novembre, 2016
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    • mars 2016
      Source : UNESCO Institute for Statistics
      Téléchargé par : Knoema
      Accès le : 30 mars, 2016
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    • octobre 2010
      Source : Japan Apparel Technology and Research Association
      Téléchargé par : Knoema
      Accès le : 31 août, 2016
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      The Japan Apparel Industrial Association
    • décembre 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 28 novembre, 2016
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      The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source.
    • décembre 2014
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 04 septembre, 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.
    • octobre 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 06 avril, 2017
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      These data are part of a larger database, hosted on a different website, which includes both quantitative and qualitative data, as well as graphs.
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 07 juin, 2016
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      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Breakdown of net premiums written in the reporting country in terms of domestic risks and foreign risks, thus providing an indicator of direct cross-border operations of insurance business.
    • août 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 09 septembre, 2016
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      This data deals with premiums written by classes of non-life insurance for the business written in the reporting country.
    • décembre 2015
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 05 mars, 2016
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      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • mai 2017
      Source : Federal Reserve Bank of St. Louis
      Téléchargé par : Knoema
      Accès le : 17 mai, 2017
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      This dataset contains forecast data from the dataset: https://knoema.com/FREDID2017May/international-data-from-fred-monthly-update-fred
    • juin 2015
      Source : Barro-Lee
      Téléchargé par : Knoema
      Accès le : 29 septembre, 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
    • décembre 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 28 décembre, 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
    • avril 2017
      Source : U.S. Energy Information Administration
      Téléchargé par : Knoema
      Accès le : 03 mai, 2017
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    • avril 2017
      Source : U.S. Energy Information Administration
      Téléchargé par : Knoema
      Accès le : 05 avril, 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.
    • août 2014
      Source : U.S. Department of Agriculture
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      Accès le : 02 septembre, 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
    • juillet 2012
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 17 juillet, 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).
    • décembre 2016
      Source : U.S. Department of Agriculture
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      Accès le : 26 décembre, 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.
    • décembre 2015
      Source : United Nations Development Programme
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      Accès le : 30 août, 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.
    • avril 2014
      Source : United Nations Development Programme
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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.
    • janvier 2006
      Source : Walter G. Park
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      Accès le : 12 juillet, 2016
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      International patent protection: 1960–2005 Walter G. Park ∗ Department of Economics, American University, 4400 Massachusetts Avenue NW, Washington, DC 20016, USA Received 24 October 2007; received in revised form 14 December 2007; accepted 29 January 2008 Available online 10 March 2008 http://fs2.american.edu/wgp/www/res_policy08.pdf
    • janvier 2017
      Source : Property Rights Alliance
      Téléchargé par : Knoema
      Accès le : 04 janvier, 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..
    • avril 2017
      Source : International Monetary Fund
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      Accès le : 17 avril, 2017
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      The Data Template on International Reserves and Foreign Currency Liquidity is an innovative single framework that integrates the concept of international reserves and foreign currency liquidity by covering data on on-balance-sheet and off-balance-sheet international financial activities of country authorities as well as supplementary information. It aims to provide a comprehensive account of official foreign currency assets and drains on such resources arising from various foreign/domestic currency liabilities and commitments of the authorities.
    • juin 2013
      Source : United Nations Conference on Trade and Development
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      Accès le : 22 juillet, 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.
    • mars 2016
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 25 mars, 2016
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      Re-dissemination of IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar).
    • mars 2016
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 18 avril, 2016
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      Re-dissemination of IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar).
    • décembre 2016
      Source : Federal Communications Commission
      Téléchargé par : Knoema
      Accès le : 14 avril, 2017
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    • novembre 2016
      Source : International Telecommunication Union
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      Accès le : 21 décembre, 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.
    • août 2016
      Source : German Chemicals Industry Association
      Téléchargé par : Knoema
      Accès le : 26 janvier, 2017
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      Source: From PDF Page No: 120 to 173
    • juillet 2016
      Source : International Transport Forum
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      Accès le : 29 novembre, 2016
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      The International Traffic Safety Data and Analysis Group (IRTAD) is a permanent working group of the Joint Transport Research Centre of the OECD and the International Transport Forum. It is composed of road safety experts and statisticians from renowned safety research institutes, national road and transport administrations, international organisations, universities, automobilist associations, car automobile industry, and others from OECD and non OECD countries. Its main objectives are to contribute to international co‐operation on road accident data and its analysis.
    • mars 2017
      Source : Bureau of Economic Analysis
      Téléchargé par : Knoema
      Accès le : 14 mars, 2017
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    • octobre 2015
      Source : Water FootPrint Network
      Téléchargé par : Knoema
      Accès le : 27 octobre, 2015
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    • mars 2016
      Source : U.S. Federal Bureau of Investigation
      Téléchargé par : Knoema
      Accès le : 27 septembre, 2016
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      The mission of the Internet Crime Complaint Center (IC3) is to provide the public with a reliable and convenient reporting mechanism to submit information to the FBI concerning suspected Internet-facilitated criminal activity and to develop effective alliances with industry partners. Information is processed for investigative and intelligence purposes for law enforcement and public awareness.
    • avril 2016
      Source : Symantec
      Téléchargé par : Knoema
      Accès le : 21 septembre, 2016
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      Symantec has established the most comprehensive source of Internet threat data in the world through the Symantec™ Global Intelligence Network, which is made up of more than 57.6 million attack sensors and records thousands of events per second. This network monitors threat activity in over 157 countries and territories through a combination of Symantec products and services such as Symantec DeepSight™ Intelligence, Symantec™ Managed Security Services, Norton™ consumer products, and other third-party data sources.
    • novembre 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 24 novembre, 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.
    • décembre 2012
      Source : Internet World Stats
      Téléchargé par : Knoema
      Accès le : 11 septembre, 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.
    • juin 2012
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 28 juillet, 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.
    • novembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • août 2014
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 13 avril, 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.
    • décembre 2006
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 09 décembre, 2016
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    • décembre 2015
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 25 mars, 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.
    • novembre 2016
      Source : Investment Company Institute
      Téléchargé par : Knoema
      Accès le : 21 décembre, 2016
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    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 15 juillet, 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.
    • août 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 18 juillet, 2016
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      The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • octobre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 11 novembre, 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
    • juillet 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 août, 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.
    • décembre 2015
      Source : Ipsos Mori
      Téléchargé par : Knoema
      Accès le : 08 août, 2016
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      • These are the findings of the Ipsos Perils of Perception Survey. 25,556 interviews were conducted between October 1st – October 16th 2015.• The survey was conducted in 33 countries around the world. The following countries used the Ipsos Online Panel system: Argentina, Australia, Belgium, Brazil, Canada, Chile, China, Colombia, France, Germany, Hungary, India, Israel, Italy, Japan, Mexico, Netherlands, New Zealand, Norway, Peru, Poland, Russia, Saudi Arabia, South Africa, South Korea, Spain, Sweden, Great Britain, Turkey and the United States of America. In Ireland a telephone (CATI) methodology was used. In Serbia and Montenegro a face-to-face (CAPI) methodology was used.• Approximately 1000+ individuals were surveyed in Australia, Brazil, Canada, China, France, Germany, Ireland, Italy, Japan, Serbia, Spain, Great Britain Montenegro, the Netherlands, Sweden, Norway and the United States of America. Approximately 500+ individuals were surveyed in the remaining countries.• Where results do not sum to 100, this may be due to computer rounding, multiple responses or the exclusion of don't knows or not stated responses.• Data are weighted to match the profile of the population.• For a full list of sources of actual data, please see - https://www.ipsos-mori.com/_assets/sri/perils/
  • J
    • janvier 2017
      Source : Agriculture & Livestock Industries Corporation
      Téléchargé par : Knoema
      Accès le : 24 janvier, 2017
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      Japan : Starch Supply and Demand, 2017
    • octobre 2016
      Source : Agriculture & Livestock Industries Corporation
      Téléchargé par : Knoema
      Accès le : 18 octobre, 2016
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      Japan : Sugar Supply and Demand Balance, September 2016
    • septembre 2016
      Source : Ministry of Economy, Trade and Industry of Japan
      Téléchargé par : Knoema
      Accès le : 20 septembre, 2016
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      Annual Report 2014 Petroleum Data in Japan. Natural Gas and Crude Oil (Annual Comodities: Production, Shipment and Inventory).
    • décembre 2015
      Source : Japanese Shipowners' Association
      Téléchargé par : Knoema
      Accès le : 27 juillet, 2016
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      Yearly directory of statistics published by Japanese Shipowners' Association (JSA) with a variety of shipping facts in Japan.
    • mars 2017
      Source : Joint Organisations Data Initiative
      Téléchargé par : Knoema
      Accès le : 05 avril, 2017
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      The JODI-Gas World Database is a platform that provides access to all data reported through monthly submissions of the JODI-Gas Questionnaire by all participating countries and economies. The database is updated on a monthly basis around the 20th of each month, though there are possibilities for additional updates. Registered users are notified by e-mail alert each time the database is updated. Modelled after JODI-Oil, which features monthly oil production, consumption, stocks and trade data from over 90 countries, JODI-Gas embodies the same objective of enhancing energy data transparency, with the ultimate goal of ensuring global energy security for producers and consumers alike. JODI-Gas World Database covers: Three product categories: Natural gas in million m3 Natural gas in TJ LNG in 1000 tons Twelve flows: Production Receipts from Other Sources Total Imports LNG Total Exports LNG Total Imports through Pipeline Total Exports through Pipeline Stock Change Gross Inland Deliveries (Calculated) Statistical Difference (Calculated) Gross Inland Deliveries (Observed) Of which: Electricity and Heat Generation Closing Stocks; Data for around 80 participating countries. Historical data from January 2009: target is to release one month old data (M-1) every month for all participating countries.
    • février 2017
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 20 mars, 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
    • août 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 09 septembre, 2014
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    • janvier 2012
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 26 août, 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
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 20 décembre, 2016
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    • décembre 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 24 mars, 2017
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      Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both: a physical "milieu" necessary for the development of natural vegetation as well as cultivated vegetation; a resource for human activities. The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land). Land area excludes area under inland water bodies (i.e. major rivers and lakes). Arable refers to all lan generally under rotation, whether for temporary crops (double-cropped areas are counted only once) or meadows, or left fallow (less than five years). These data are not meant to indicate the amount of land that is potentially cultivable. Permanent crops are those that occupy land for a long period and do not have to be planted for several years after each harvest (e.g. cocoa, coffee, rubber). Land under vines and trees and shrubs producing fruits, nuts and flowers, such as roses and jasmine, is so classified, as are nurseries (except those for forest trees, which should be classified under "forests and other wooded land"). Arable and permanent crop land is defined as the sum of arable area and land under permanent crops. Permanent meadows and pastures refer to land used for five years or more to grow herbaceous forage crops, either cultivated or growing wild (wild prairie or grazing land). Forest refers to land spanning more than 0.5 hectare (0.005 km2) and a canopy cover of more than 10 percent, or trees able to reach these thresholds in situ. This includes land from which forests have been cleared but that will be reforested in the foreseeable future. This excludes woodland or forest predominantly under agricultural or urban land use and used only for recreation purposes. Other areas include built-up and related land, wet open land, and dry open land, with or without vegetation cover. Areas under inland water bodies (rivers and lakes) are excluded. The definitions used in different countries may show variations.
    • décembre 2016
      Source : Legatum Institute
      Téléchargé par : Knoema
      Accès le : 06 février, 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.
    • avril 2017
      Source : Bank for International Settlements
      Téléchargé par : Knoema
      Accès le : 26 avril, 2017
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      Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty
    • mars 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 13 octobre, 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).
    • juin 2015
      Source : United Nations Economic Commission for Europe
      Téléchargé par : Knoema
      Accès le : 20 octobre, 2015
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    • juin 2015
      Source : United Nations Economic Commission for Europe
      Téléchargé par : Knoema
      Accès le : 20 octobre, 2015
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  • M
    • août 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 09 février, 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.
    • février 2015
      Source : National Horticulture Board, India
      Téléchargé par : Knoema
      Accès le : 11 novembre, 2015
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    • juin 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 30 décembre, 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.
    • juin 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 10 février, 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.
    • juillet 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 05 août, 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.
    • décembre 2015
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 08 décembre, 2015
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    • décembre 2016
      Source : International Telecommunication Union
      Téléchargé par : Knoema
      Accès le : 09 janvier, 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.
    • octobre 2016
      Source : Melbourne Mercer
      Téléchargé par : Knoema
      Accès le : 12 décembre, 2016
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      Melbourne Mercer Global Pension index has become an important reference point in the debate about the adequacy, sustainability and integrity of retirement systems around the world. While some countries have well-established retirement systems that have stood the test of time, others are just developing, especially those within the Asian region. Regardless, as nations and policy makers struggle with the competing needs of an ageing population and achieving an appropriate fiscal balance, our hope is that this report will provide an opportunity for debate and discussion about possible alternative strategies. The Index uses three sub-indices —adequacy, sustainability and integrity — to measure each country's retirement income system. The overall index value for each country's system represents the weighted average of the three sub-indices. The weightings used are 40 percent for the adequacy sub-index, 35 percent for the sustainability sub-index and 25 percent for the integrity sub-index. The different weightings are used to reflect the primary importance of the adequacy sub-index which represents the benefits that are currently being provided together with some important benefit design features. The integrity sub-index considers several items that influence the overall governance and operations of the system which affects the level of confidence that the citizens of each country have in their system. The data shows there is great diversity in the pension system around the world. The overall index value for Argentina is 37.7 whereas for 80.5 for Denmark in 2016.
    • octobre 2016
      Source : United Nations Conference on Trade and Development
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      Accès le : 07 mars, 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.
    • septembre 2016
      Source : United Nations Conference on Trade and Development
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      Accès le : 11 avril, 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.
    • janvier 2015
      Source : United Nations Conference on Trade and Development
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      Accès le : 23 avril, 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.
    • novembre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 29 décembre, 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
    • novembre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 26 décembre, 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
    • novembre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 09 décembre, 2016
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      This table presents merchandise trade by trading partner expressed in thousands of dollars
    • septembre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 02 novembre, 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.
    • janvier 2017
      Source : Gobierno
      Téléchargé par : Knoema
      Accès le : 04 janvier, 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.
    • octobre 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 21 décembre, 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.
    • octobre 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 17 novembre, 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.  
    • juillet 2013
      Source : U.S. Geological Survey
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      Accès le : 21 août, 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.
    • juin 2015
      Source : European Commission
      Téléchargé par : Knoema
      Accès le : 02 juillet, 2015
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      The European Commission provides statistics on EU crude oil imports and crude oil supply costs.
    • octobre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 14 novembre, 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.
    • février 2016
      Source : Pew Research Center
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      Accès le : 05 février, 2016
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      Notes : 2010 is Estimated Population, 2030 is Projected Population.
  • N
    • février 2014
      Source : National Institute of Statistics and Censuses, Costa Rica
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      Accès le : 10 mars, 2014
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      Naional Accounts of Costa Rica, 2014
    • octobre 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 25 octobre, 2016
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      It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries. Gross fixed capital formation is also available broken down by type of assets. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • décembre 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 28 février, 2017
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      It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries according to the classification ISIC rev.4. Gross fixed capital formation is also available broken down by type of assets. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2005). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 17 novembre, 2016
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      It presents fixed assets by activity according to the classification ISIC rev.3 and by type of product and by type of assets.  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 16 novembre, 2016
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      It presents the balance sheets for non financial assets by institutional sectors, for both produced assets (fixed assets, inventories, valuables) and non-produced assets (tangible and intangible).  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • décembre 2016
      Source : United Nations Statistics Division
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      Accès le : 10 février, 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.
    • décembre 2015
      Source : World Health Organization
      Téléchargé par : Knoema
      Accès le : 16 juin, 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
    • mai 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 29 juin, 2016
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      National landings in domestic ports
    • décembre 2016
      Source : National Venture Capital Association
      Téléchargé par : Knoema
      Accès le : 05 février, 2017
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      The NVCA Yearbook is an annual comprehensive analysis of U.S. venture capital industry statistics. The publication includes metrics regarding commitments made to venture capital funds, venture capital investments into entrepreneurial companies and venture-backed exits (mergers and acquisitions as well as IPOs). It also includes appendices regarding portfolio company valuation guidelines, international accounting convergence and venture capital activity outside the United States.
    • octobre 2015
      Source : Water FootPrint Network
      Téléchargé par : Knoema
      Accès le : 26 octobre, 2015
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    • décembre 2016
      Source : Multiple Sources
      Téléchargé par : Knoema
      Accès le : 31 mars, 2017
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    • septembre 2006
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 24 septembre, 2014
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      New entrants to a level of education are students who are entering any programme leading to a recognised qualification at this level of education for the first time, irrespective of whether the students enter the programme at the beginning or at an advanced stage of the programme. Individuals who are returning to study at a level following a period of absence from studying at that same level are not considered to be new entrants. Foreign students who are enrolling for the first time in the country for which the data are reported are counted as new entrants, regardless of their previous education in other countries.
    • décembre 2010
      Source : Friedrich Schneider
      Téléchargé par : Knoema
      Accès le : 13 juillet, 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.
    • janvier 2013
      Source : Maddison Project
      Téléchargé par : Knoema
      Accès le : 20 octobre, 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.
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 21 novembre, 2016
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      It presents the whole set of non financial accounts, from the production account to the acquisitions of non-financial assets accounts.For general government sector, property income, other current transfers and capital transfers are consolidated..
  • O
    • novembre 2016
      Source : Ocean Health Index
      Téléchargé par : Knoema
      Accès le : 03 janvier, 2017
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      Ocean Health Index, 2016
    • avril 2017
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 02 mai, 2017
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      The OECD's quarterly national accounts (QNA) dataset presents data collected from all the OECD member countries and some other major economies on the basis of a standardised questionnaire as well as countries' own definitions and classifications. It contains a wide selection of generally seasonally adjusted quarterly series most widely used for economic analysis from 1960 or whenever available.   Note: The base year for some indicators, which are associated with reference year, have been kept constant because the base year changes country wise in source.(Base year ranges from 1995-2013) Reference year has changed for OECD from 2005 to 2010
    • mars 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 20 avril, 2016
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    • avril 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 07 mai, 2014
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      Foreign direct investment reflects the objective of obtaining a lasting interest by a resident entity in one economy (‘‘direct investor'') in anentity resident in an economy other than that of the investor (‘‘direct investment enterprise''). The lasting interest implies the existence of a long-term relationship between the direct investor and the enterprise and a significant degree of influence on the management of the enterprise. Direct investment involves both the initial transaction between the two entities and all subsequent capital transactions between them and among affiliated enterprises, both incorporated and unincorporated.
    • janvier 2017
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 20 mars, 2017
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       Foreign Direct Investment (FDI) is a category of investment that reflects the objective of establishing a lasting interest by a resident enterprise in one economy (direct investor) in an enterprise (direct investment enterprise) that is resident in an economy other than that of the direct investor. The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence (not necessarily control) on the management of the enterprise. The direct or indirect ownership of 10% or more of the voting power of an enterprise resident in one economy by an investor resident in another economy is the statistical evidence of such a relationship. FDI statistics are on a directional basis (inward or outward) and relate to FDI flows, FDI positions (stocks) and FDI income. Outward investments are cross-border investments by direct investors resident in the reporting country while inward investments are investments by non-resident investors in the reporting country. FDI flows are cross-border financial transactions within a given period (e.g. year, quarter) between affiliated enterprises that are in a direct investment relationship. FDI positions relate to the stock of investments at a given point in time (e.g. end of year, end of quarter). FDI flows and positions include equity (10% or more voting shares), reinvestment of earnings and inter-company debt. FDI income is the return on direct investment positions of equity (dividends and reinvested earnings) and debt (interest).   Special Purpose Entities (SPEs):Information on resident SPEs for Estonia and Sweden (FDI flows only) is confidential. This information is not yet available separately for Canada, Ireland and Mexico. The information is available separately for Austria, Chile, Denmark, Hungary, Iceland, Korea, Luxembourg, the Netherlands, Norway, Poland, Portugal, Spain, Sweden, Switzerland and the United Kingdom. However, the information is not displayed in the tables for all countries, due to limited availability of historical data or to differences in data vintages. Resident SPEs are not present or not significant in Australia, the Czech Republic, Finland, France, Germany, Greece, Israel, Italy, Japan, New Zealand, the Slovak Republic, Slovenia, Turkey, and the United States.
    • novembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 07 décembre, 2015
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      Pension fund assets in OECD countries hit a record USD 20.1 trillion in 2011 but return on investment fell below zero, with an average negative return of -1.7%, according to the OECD’s latest Pension Markets in Focus. The report says that weak equity markets and low interest rates drove the poor performance.
    • mai 2013
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 15 septembre, 2014
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      In this version, seven GVCs indicators are presented for 59 economies (34 OECD and 23 non-OECD economies, plus the "rest of the world" and the European Union) for 18 industries in the years 1995, 2000, 2005, 2008 and 2009. The indicators are calculated based on the five global input-output matrices of the TiVA database. More details on the aggregation and specific country notes can be downloaded at http://www.oecd.org/sti/ind/input-outputtables.htm and http://oe.cd/gvc/.
    • juillet 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 25 juillet, 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.
    • avril 2017
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 02 mai, 2017
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      The Key Economic Indicators (KEI) database contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member countries and for a selection of non-member countries on a wide variety of economic indicators, namely: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.
    • janvier 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 21 mars, 2016
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      This database, published twice a year, provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD Member countries and selected non-member economies in the field of Science and Technology as available from 1981 onwards. It includes final or provisional results as well as forecasts established by government authorities. Indicators cover resources devoted to research and development, patent families, technology balance of payments and international trade in highly R&D-intensive industries. Also presented are the underlying economic series used to calculate these indicators. Indicators on R&D expenditures, budgets and personnel are derived from the OECD's Research and Development Statistics (RDS) database, which is based on the data reported to OECD and Eurostat in the framework of the joint OECD/Eurostat international data collection on resources devoted to R&D. The sources for the other indicators include the OECD databases on Activities of Foreign Affiliates (AFA), on Bilateral Trade in Goods by Industry and End-use Category database (BTDIxE), on Patents and on Technological Balance of Payments (TBP). YEARS COVERED: 1981 onward. COUNTRIES COVERED: Australia, Austria, Belgium, Canada, Chile, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom, and United States. NON-MEMBER ECONOMIES: Argentina, China, Romania, Russian Federation, Singapore, South Africa and Chinese Taipei.
    • juin 2012
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 août, 2014
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      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
    • juin 2012
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 août, 2014
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      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
    • mars 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 22 mars, 2016
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      The OECD Science, Technology and Industry Outlook reviews key trends in STI policies and performance in OECD countries and major emerging economies. It is published every two years and draws on a unique international policy survey conducted by the OECD - with more than 45 countries involved in 2014 - and the latest OECD work on STI policy analysis and measurement. Following an overview of the recent STI global landscape, key current policy issues are discussed across a series of thematic policy profiles. Country profiles report the STI performance of individual countries and the most recent national policy developments.
    • juillet 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 18 janvier, 2017
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      This tool provides an access to a limited version of the database presented in the OECD-FAO Agricultural Outlook 2016-2025. For most of the commodity markets analysed in the Outlook, detailed supply and use balances are available, as well as domestic and international commodity prices. For OECD countries, the data is accompanied by detailed meta-data. In most cases the data is going back to 1970 and extended to the latest year in the projections (currently 2025). For Indicator- Producer Price- Units have been considered as National currency/t whereas the countries like Japan, Korea and Turkey have '000 National currency/t'
    • octobre 2013
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 29 octobre, 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.
    • août 2016
      Source : Wikipedia
      Téléchargé par : Knoema
      Accès le : 16 septembre, 2016
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    • novembre 2016
      Source : Organization of Petroleum Exporting Countries
      Téléchargé par : Knoema
      Accès le : 23 décembre, 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.
    • avril 2016
      Source : Organization of Petroleum Exporting Countries
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      Accès le : 28 avril, 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
    • janvier 2015
      Source : Open Data Research Network
      Téléchargé par : 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
    • juillet 2014
      Source : Open Data Research Network
      Téléchargé par : Knoema
      Accès le : 05 novembre, 2014
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      Peer-reviewed numerical scores assigned to each primary data variable collected for the Open Data Barometer.
    • octobre 2016
      Source : Open Data Watch
      Téléchargé par : Knoema
      Accès le : 14 octobre, 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.
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 28 octobre, 2016
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      This table contains statistics on research and development (R&D) expenditure performed in the higher education and private non-profit sectors by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities) and type of costs (current expenditures, capital expenditures).
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 19 avril, 2016
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      This table contains statistics on research and development ( R&D) expenditure performed in the higher education and private non-profit sectors by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities) and source of funds (direct government, public general university funds, higher education, private non-profit, business enterprise, and funds from abroad). Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs).
    • décembre 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 24 février, 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.
    • janvier 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 28 octobre, 2016
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    • octobre 2015
      Source : International Monetary Fund
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      Accès le : 27 octobre, 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.
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 23 novembre, 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.
    • juin 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 09 décembre, 2016
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      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing sector or in the total business sector.The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • janvier 2014
      Source : Oxfam
      Téléchargé par : Knoema
      Accès le : 30 mai, 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
    • décembre 2016
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 30 décembre, 2016
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      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • avril 2017
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 14 avril, 2017
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      The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 18.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.
    • février 2016
      Source : Passport Index
      Téléchargé par : Alina Buzanakova
      Accès le : 12 février, 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.
    • novembre 2012
      Source : Center for International Comparisons at the University of Pennsylvania
      Téléchargé par : Knoema
      Accès le : 10 décembre, 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.
    • février 2012
      Source : Center for International Comparisons at the University of Pennsylvania
      Téléchargé par : 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.
    • juin 2016
      Source : University of Groningen
      Téléchargé par : Knoema
      Accès le : 09 août, 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.
    • octobre 2016
      Source : United Nations Conference on Trade and Development
      Téléchargé par : Knoema
      Accès le : 13 décembre, 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.
    • septembre 2016
      Source : Political Terror Scale
      Téléchargé par : Knoema
      Accès le : 30 novembre, 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.
    • décembre 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 23 novembre, 2016
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      It presents population data and employment by main activity. It includes national concept data for economically active population, unemployed persons, total employment, employees and self-employed, as well as domestic concept data for total employment, employees and self-employed. The domestic concept data are available broken down by main activity.It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire.
    • mars 2009
      Source : Eurostat
      Téléchargé par : Knoema
      Accès le : 29 novembre, 2015
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    • avril 2016
      Source : United Nations Resettlement Programme
      Téléchargé par : Knoema
      Accès le : 16 juin, 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
    • mars 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 10 mars, 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.
    • mai 2015
      Source : Earth Policy Institute
      Téléchargé par : Knoema
      Accès le : 26 juin, 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).
    • octobre 2016
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 22 décembre, 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
    • juin 2016
      Source : International Atomic Energy Agency
      Téléchargé par : Knoema
      Accès le : 09 juin, 2016
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      PRIS covers two kinds of data: general and design information on power reactors, and information about operating experience with nuclear power plants. General and design information covers all reactors that are in operation, under construction, or shut-down in IAEA Member States, and in Taiwan, China. Data on operating experience cover operational reactors, and historical data cover shutdown reactors, in IAEA Member States and in Taiwan, China. In these areas PRIS is considered the most complete and authoritative source of statistical data
    • décembre 2016
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 17 mars, 2017
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    • décembre 2016
      Source : International Telecommunication Union
      Téléchargé par : Knoema
      Accès le : 02 mars, 2017
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    • avril 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 28 avril, 2017
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      This dataset covers only Cross-Country-Concepts - Portfolio Investment related indicators. Please visit Principal Global Indicators - Data by Indicator for other set of Principal Global Indicators. 
    • mai 2017
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 17 mai, 2017
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      The Principal Global Indicators (PGI) dataset provides internationally comparable data for the Group of 20 economies (G-20) and economies with systemically important financial sectors that are not members of the G-20. The PGI facilitates the monitoring of economic and financial developments for these jurisdictions. Launched in 2009, the PGI website is hosted by the IMF and is a joint undertaking of the Inter-Agency Group of Economic and Financial Statistics (IAG).
    • avril 2017
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 10 mai, 2017
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      Private transactions are those undertaken by firms and individuals resident in the reporting country.
    • juin 2015
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 25 janvier, 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.
    • décembre 2014
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 14 novembre, 2016
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    • février 2017
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 01 mars, 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
    • décembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 27 décembre, 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
    • février 2012
      Source : Inter-American Development Bank
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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.
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    • janvier 2017
      Source : University of Gothenburg
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      Accès le : 20 avril, 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.
    • janvier 2017
      Source : World Bank
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      Accès le : 06 février, 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.
    • avril 2017
      Source : World Bank
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      Accès le : 13 avril, 2017
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      Public Sector Debt Statistics (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected developing /emerging market countries (Czech Republic is an advanced economy; the rest of the advanced economies will be invited to participate in this initiative in 2012)The QPSD database includes country and cross-country tables, and enables users to query and extract data, by country, group of countries, and specific public debt components. The data represent the following sectors on an as-available basis: General government; o/w Central government; o/w Budgetary central government; Non financial public corporations and Financial public corporations and a table presenting the total public sector debt.
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    • janvier 2016
      Source : National Science Foundation
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      Accès le : 14 avril, 2016
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      Data collected from table 4-16,4-18
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 20 avril, 2016
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      This table contains research and development (R&D) expenditure statistics on current domestic R&D and gross domestic R&D expenditures by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of R&D within each sector (basic research, applied research, experimental development, non-specified, and total activity).Unit of measure used - Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs).
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 20 avril, 2016
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      These tables present research and development (R&D) personnel statistics for :- Total R&D personnel by sector of employment and field of science, in full-time equivalent on R&D;- Researchers by sex, sector of employment and field of science, in full-time equivant on R&D;- Researchers by sex, sector of employment and field of science, in headcounts.Sectors of employment are business enterprise, government, higher education, private non-profit and total.Breakdown by field of science includes natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities.
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 21 avril, 2016
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      These tables contain research and development (RD) personnel statistics. Number of RD personnel is provided in both headcounts and full-time equivalent on RD by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by occupation (researchers, technicians and other support staff).
    • avril 2016
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 21 avril, 2016
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      This table presents research and development (R&D) personnel statistics. Number of R&D personnel is provided in headcounts and/or full-time equivalent on R&D by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by formal qualification (university and other diplomas by ISCED classification). Unit of measure used - Headcounts and/or Full-time equivalent on R&D (FTE)
    • mars 2010
      Source : International Institute for Applied Systems Analysis
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      Accès le : 31 octobre, 2013
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      Using demographic multi-state, cohort-component methods, projections for 120 countries (covering 93% of the world population in 2005) by five-year age groups, sex, and four levels of educational attainment for the years 2005-2050 are produced. Taking into account differentials in fertility and mortality by education level, the first systematic global educational attainment projections according to four widely differing education scenarios are presented. The results show the possible range of future educational attainment trends around the world, thereby contributing to long-term economic and social planning at the national and international levels, and to the assessment of the feasibility of international education goals. Samir KC et al., Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005-2050, Demographic Research, 22(15), P. 383-472, 16 March 2010: http://www.demographic-research.org/Volumes/Vol22/15/.
    • juillet 2015
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 21 juin, 2016
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    • août 2012
      Source : Multiple Sources
      Téléchargé par : Carpe Facto
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      Spread of religions across the World, by country
    • avril 2017
      Source : UNESCO Institute for Statistics
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      Accès le : 05 avril, 2017
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    • avril 2017
      Source : Reserve Bank of Australia
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      Accès le : 13 avril, 2017
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      Reserve Bank of Australia Assets and Liabilities
    • décembre 2016
      Source : Food and Agriculture Organization
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      Accès le : 27 décembre, 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.
    • octobre 2016
      Source : Food and Agriculture Organization
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      Accès le : 25 novembre, 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.
    • décembre 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 30 décembre, 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
    • juillet 2016
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 14 décembre, 2016
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    • novembre 2016
      Source : Food and Agriculture Organization
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      Accès le : 23 novembre, 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.
    • décembre 2014
      Source : Organisation for Economic Co-operation and Development
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      Accès le : 25 octobre, 2016
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      Data on government sector receipts, and on taxes in particular, are basic inputs to most structural economic descriptions and economic analyses and are increasingly used in international comparisons. This annual database presents a unique set of detailed and internationally comparable tax data in a common format for all Latin American countries.
    • juin 2016
      Source : Food and Agriculture Organization
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      Accès le : 10 février, 2017
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      Greenhouse gas (GHG) emissions from rice cultivation consist of methane gas from the anaerobic decomposition of organic matter in paddy fields. 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) and the IPCC 2000 Good Practice Guidance and Uncertainty Management in National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/gp/english/). 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. Implied emission factor for CH4 and activity data are also provided.
    • avril 2017
      Source : Global Finance Magazine
      Téléchargé par : Knoema
      Accès le : 19 avril, 2017
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  • S