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China

  • President:Xi Jinping
  • Premier:Li Keqiang
  • Capital city:Beijing
  • Languages:Standard Chinese or Mandarin (official; Putonghua, based on the Beijing dialect), Yue (Cantonese), Wu (Shanghainese), Minbei (Fuzhou), Minnan (Hokkien-Taiwanese), Xiang, Gan, Hakka dialects, minority languages (see Ethnic groups entry) note: Zhuang is official in Guangxi Zhuang, Yue is official in Guangdong, Mongolian is official in Nei Mongol, Uighur is official in Xinjiang Uygur, Kyrgyz is official in Xinjiang Uygur, and Tibetan is official in Xizang (Tibet)
  • Government
  • National statistics office
  • Population:1,378,665,000 (2016)
  • Area:9,388,211 (2016)
  • GDP per capita:8,123 (2016)
  • GDP, billion current US$:11,199.1 (2016)
  • GINI index:42.16 (2012)
  • Ease of Doing Business rank:78 (2016)
All datasets:  3 A B C D E F G H I J K L M N O P Q R S T U V W Y
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    • July 2016
      Source: Knoema
      Uploaded by: Knoema
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      Accuracy of annual economic forecasts of international organizations - European Commission, IMF, OECD, World Bank, UN LINK
    • February 2017
      Source: Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 13 February, 2017
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      Activities of U.S. MNEs: Majority-Owned Foreign Affiliates, Selected Indicators, 2014.
    • December 2016
      Source: FDI Intelligence
      Uploaded by: Knoema
      Accessed On: 08 March, 2017
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      Africa Investment and Global Greenfield Investment Report, 2016.
    • July 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 03 December, 2015
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    • April 2017
      Source: Agricultural Market Information System
      Uploaded by: Knoema
      Accessed On: 29 May, 2017
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    • April 2017
      Source: Agricultural Market Information System
      Uploaded by: Knoema
      Accessed On: 29 May, 2017
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      Data Source - IGS
    • April 2017
      Source: Agricultural Market Information System
      Uploaded by: Knoema
      Accessed On: 29 May, 2017
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      Data Source - PSD
    • June 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 February, 2017
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      Agriculture Total contains all the emissions produced in the different agricultural emissions sub-domains (enteric fermentation, manure management, rice cultivation, synthetic fertilizers, manure applied to soils, manure left on pastures, crop residues, cultivation of organic soils, burning of crop residues, burning of savanna, energy use), providing a picture of the contribution to the total amount of GHG emissions from agriculture. GHG emissions from agriculture consist of non-CO2 gases, namely methane (CH4) and nitrous oxide (N2O), produced by crop and livestock production and management activities. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg CO2 and CO2eq (from CH4 and N2O), by underlying agricultural emission sub-domain and by aggregate (agriculture total, agriculture total plus energy, agricultural soils).
    • May 2013
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 29 July, 2015
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    • July 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 17 August, 2017
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      The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2014
    • July 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 17 August, 2017
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      The Agri-environmental Indicators—Land domain provides information on the annual evolution of the distribution of agricultural and forest areas, and their sub-components, including irrigated areas, at national, regional and global levels.
    • July 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 18 September, 2017
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      Agri-Environmental Indicators - Livestock (1961-2014)
    • July 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 16 August, 2017
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      The data describe the average use of pesticides per area of cropland (arable land and permanent crops) at national level in a time series from 1990 to 2014. 
    • May 2013
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 29 July, 2015
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    • May 2013
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 29 July, 2015
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    • June 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 28 June, 2017
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      commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use. -- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment. -- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire. -- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.
    • April 2017
      Source: Akamai
      Uploaded by: Knoema
      Accessed On: 07 June, 2017
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    • June 2013
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 21 November, 2014
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      This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 14 August, 2017
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      Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers that measure the prices of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. They can help, for example, to monitor potential macroeconomic imbalances and the risk exposure of the household and financial sectors. This dataset covers the 34 OECD member countries and some non-member countries. In addition to the nominal RPPIs it contains information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. This dataset contains quarterly statistics for each country. House prices differ widely across OECD countries, both with respect to recent changes and to valuation levels. The OECD has identified one main nominal index for each country that covers the prices for the sale of newly-built and existing dwellings. The datasets “Analytical house price indicators” and “Residential Property Price Indices (RPPIs) – Headline Indicators” refer to the same price indices for all countries apart from Brazil, Canada, China, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “Residential Property Price Indices (RPPIs) – Complete database”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap. This research dataset provides extended time series coverage for many countries. The objective is to provide information on the long term trend of house prices and develop indicators which can be used to help track and analyse macroeconomic developments and risks. The extended data supplement the OECD RPPI data with historical data from a variety of sources, including other international organisations, central banks and national statistical offices. The methodological basis on the historical data and the types of geographical areas and dwellings they cover can differ from those used in the OECD RPPI data. The database contains a number of additional series. Real house prices are given by the ratio of seasonally adjusted nominal house prices to the seasonally adjusted consumers’ expenditure deflator in each country, from the OECD national accounts database. This provides information on how nominal house prices have changed over time relative to prices in the general economy. The rental prices come from the OECD Main Economic Indicators database and refer to Consumer Price Indices (CPIs) for Actual rentals for housing (COICOP 04.1). If this indicator is missing for a country, another indicator is chosen. The chosen indicator are usually those corresponding to the CPI aggregate for Housing including Actual rentals for housing (COICOP 04.1), imputed rentals for housing (COICOP 04.2) and Maintenance and repair of the dwelling (COICOP 04.3). The disposable income indicators come from the OECD national accounts database. Net household disposable income is used. The population data come from the OECD national accounts database. The price-to-rent ratio is given by the ratio of nominal house prices to rental prices. This is a measure of the profitability of owning a house. The price-to-income ratio is given by the ratio of nominal house prices to nominal household disposable income per capita. This is a measure of the affordability of purchasing a house. An indication that house prices may be overvalued is provided if either of these ratios is above their long-term averages. The standardised price-rent and price-income ratios show the current price-rent and price-income ratios relative to their respective long-term averages. The long-term average, which is used as a reference value, is calculated over the whole period available when the indicator begins after 1980 or 1980 if the indicator is available over a longer time period. The standardised ratio is indexed to a reference value equal to 100 over the full sample period. Values over 100 indicate that the present price-rent ratio, or price-income ratio, is above its long-run norms. This provides an indication of possible housing market pressures.
    • April 2014
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 16 April, 2014
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      Angola trade with selected countries by commodity 04 HS, 2013
    • June 2017
      Source: International Tropical Timber Organization
      Uploaded by: Knoema
      Accessed On: 24 July, 2017
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      ITTO's Annual Review and Assessment of the World Timber Situation compiles the most up-to-date and reliable international statistics available on global production and trade of timber, with an emphasis on the tropics. It also provides information on trends in forest area, forest management and the economies of ITTO member countries.
    • June 1999
      Source: National Oceanic and Atmospheric Administration
      Uploaded by: Knoema
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      Annual Temperature Anomaly timeseries for China, India, and the United States.
    • October 2010
      Source: Japan Apparel Technology and Research Association
      Uploaded by: Knoema
      Accessed On: 30 August, 2016
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      The Japan Apparel Industrial Association
    • January 2014
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 07 December, 2015
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      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin.
    • October 2014
      Source: Actionable Governance Indicators Data Portal
      Uploaded by: Knoema
      Accessed On: 13 October, 2015
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    • March 2015
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 12 August, 2015
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    • March 2015
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 12 August, 2015
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    • February 2016
      Source: Auto Care Association
      Uploaded by: Knoema
      Accessed On: 17 February, 2016
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      U.S. Commercial Service Automotive Resource Guide, 2014 - Export.gov - Helping U.S. Companies Export Source: United States Department of Commerce, Bureau of the Census, Foreign Trade Division. TPIS Database: USHS EXPORTS, Revised Statistics for 1989–2012.
    • October 2014
      Source: LMC Automotive
      Uploaded by: Knoema
      Accessed On: 09 January, 2015
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      Automative Industry, 2014
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    • October 2017
      Source: Baker Hughes
      Uploaded by: Knoema
      Accessed On: 16 October, 2017
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    • October 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 13 October, 2017
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      The balance of payments is a statistical statement that provides a systematic summary of economic transactions of an economy with the rest of the world, for a specific time period. The transactions are for the most part between residents and non-residents of the economy. A transaction is defined as an economic flow that reflects the creation, transformation, exchange, transfer, or extinction of economic value and involves changes in ownership, of goods or assets, the provision of services, labour or capital.  This dataset presents countries compiling balance of payments statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6). Transactions include: the goods and services accounts, the primary income account (income account in BPM5), the secondary income account (transfers in BPM5), the capital account, and the financial account. Changes in BPM6 compared to BPM5 are often a consequence of a stricter application of the change of ownership principle in particular in the goods and services accounts. They relate to transactions on goods and services (merchanting, goods for processing, Insurance), income (investment income), and financial operations (direct investment) .
    • July 2016
      Source: Central Bank of Sao Tome and Principe
      Uploaded by: Knoema
      Accessed On: 03 August, 2016
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      Balance of Payments of Sao Tome & Principe, 2013
    • June 2015
      Source: Barro-Lee
      Uploaded by: Knoema
      Accessed On: 12 October, 2015
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    • August 2015
      Source: Barro-Lee
      Uploaded by: Knoema
      Accessed On: 12 October, 2015
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    • December 2012
      Source: PoachingFacts.com
      Uploaded by: Knoema
      Accessed On: 16 June, 2016
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    • January 2016
      Source: Bertelsmann Stiftung
      Uploaded by: Knoema
      Accessed On: 21 September, 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.
    • September 2016
      Source: National Statistics Bureau, Bhutan
      Uploaded by: Knoema
      Accessed On: 12 January, 2017
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      Bhutan : Tourism Statistics, 2015
    • April 2014
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 08 February, 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.
    • October 2016
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 11 November, 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
    • July 2017
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 01 September, 2017
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      Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".
    • September 2017
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 20 September, 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
    • October 2017
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 16 October, 2017
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    • August 2017
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 01 September, 2017
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      The residential property price statistics collect data from different countries. The BIS has obtained permission from various national data providers, with the assistance of its member central banks, to disseminate these statistics. The topic ‘Property prices: Selected series,’ contains nominal and real quarterly values for 58 countries, both in levels and in growth rates (ie four series per country). Real series are the nominal price series deflated by the consumer price index. The BIS has made the selection based on the Handbook on Residential Property Prices and the experience and metadata of central banks.
    • September 2017
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 19 September, 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.
    • September 2017
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 20 September, 2017
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    • April 2017
      Source: Bloom Consulting
      Uploaded by: Knoema
      Accessed On: 24 May, 2017
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      Bloom Consulting was founded in 2003 as a Nation Branding consultancy. Our Headquarters are located in Madrid, with offices in Lisbon and São Paulo. Bloom Consulting has been interviewed by The Economist, Forbes and CNN . According to Country Branding Central www.countrybrandingwiki.org, our CEO José Filipe Torres, a recurrent lecturer in Universities such as Harvard, is considered one of the top 3 international experts in the field of Nation Branding, Region and City Branding, providing advisory for the OECD. In addition, Bloom Consulting publishes the Bloom Consulting Country Brand Ranking © annually for both Trade and Tourism, to extensively analyze the brand performance of 193 countries and territories worldwide and the Digital Country Index - Measuring the Brand appeal of countries and territories in the Digital World.
    • January 2017
      Source: Bloomberg
      Uploaded by: Knoema
      Accessed On: 23 January, 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 GDP 2. Manufacturing: Manufacturing value-added per capita 3. 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 companies 5. 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 graduates 6. Researcher concentration: Professionals, including Ph.D. students, engaged in R&D per 1 million population 7. 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 total Bloomberg 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.
    • February 2017
      Source: BP
      Uploaded by: Knoema
      Accessed On: 17 February, 2017
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      BP Energy outlook to 2035, indices of consumption and production of different energy sources   Grouping include following countries and territories and  the groupings are made purely for statistical purposes. North America: US (excluding US territories), Canada and Mexico.  South and Central America (S & C America): Caribbean (including Puerto Rico and US Virgin Islands), Central and South America. Europe: European members of the OECD plus Albania, Bosnia-Herzegovina, Bulgaria, Croatia, Cyprus, The former Yugoslav Republic of Macedonia, Georgia, Gibraltar, Latvia, Lithuania, Malta, Montenegro, Romania and Serbia. Commonwealth of Independent States (CIS): Armenia, Azerbaijan, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Russian Federation, Tajikistan, Turkmenistan, Ukraine, Uzbekistan.  Middle East: Arabian Peninsula, Iran, Iraq, Israel, Jordan, Lebanon, Syria. Africa: a). Territories on the north coast of Africa from Egypt to Western Sahara. Territories on the west coast of Africa from Mauritania to Angola, including Cape Verde, Chad.  b). Territories on the east coast of Africa from Sudan to Republic of South Africa. Also Botswana, Madagascar, Malawi, Namibia, Uganda, Zambia, Zimbabwe.  Asia Pacific: Brunei, Cambodia, China, China Hong Kong SAR* (*Special Administrative Region) , China Macau SAR* (*Special Administrative Region), Indonesia, Japan, Laos, Malaysia, Mongolia, North Korea, Philippines, Singapore, South Asia (Afghanistan, Bangladesh, India, Myanmar, Nepal, Pakistan and Sri Lanka), South Korea, Taiwan, Thailand, Vietnam, Australia, New Zealand, Papua New Guinea and Oceania Other Emerging Asia: Non-OECD Asia excluding China and India OECD members (Organization For Economic Co-operation and Development): Europe: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Luxembourg, Netherlands, Norway, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom. Other member countries: Australia, Canada, Chile, Israel, Japan, Mexico, New Zealand, South Korea, US.  Non-OECD: All countries that are not members of the OECD European Union members : Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece,  Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, UK.  
    • May 2017
      Source: BP
      Uploaded by: Knoema
      Accessed On: 22 June, 2017
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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.
    • June 2017
      Source: BP
      Uploaded by: Knoema
      Accessed On: 02 August, 2017
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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.
    • December 2016
      Source: Times Higher Education
      Uploaded by: Knoema
      Accessed On: 05 January, 2017
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      The Times Higher Education BRICS & Emerging Economies Rankings 2017, provides institutions ranking and Score (performance indicators). The rankings use 13 performance indicators to provide the most comprehensive and balanced comparisons, trusted by students, academics, university leaders, industry and even governments – but the weightings are specially recalibrated to reflect the characteristics of emerging economy universities. The performance indicators are grouped into five areas: 1. Teaching (the learning environment) 2. Research (volume, income and reputation) 3. Citations (research influence) 4. International outlook (staff, students and research) 5. Industry income (knowledge transfer) Note: The ranking of institutions, after 200, have been given in range like 201-250 and 251-300. The rank has been taken as 201, 202, 203……..250 as the same order as they appear in the source.
    • June 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 23 March, 2016
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      The OECD broadband portal provides access to a range of broadband-related statistics gathered by the OECD. Policy makers must examine a range of indicators which reflect the status of individual broadband markets. The OECD broadband speed tests by country show the official measurements of actual access network broadband speed. The OECD broadband map shows national broadband statistics in OECD countries. Mobile broadband penetration has risen to 85.4% in the OECD area, meaning more than four wireless subscriptions for every five inhabitants, according to data for June 2015 released by the OECD . Note: unit of measure of indicators related to Internet selling and purchasing by industry is percentage of businesses with 10 or more employees in each industry group.
    • June 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 February, 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.
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 20 June, 2017
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    • April 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 21 August, 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.
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 09 June, 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.
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 12 June, 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.
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 21 June, 2017
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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.
    • August 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 22 September, 2017
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      The business tendency survey indicators cover a standard set of indicators for four economic sectors: manufacturing, construction, retail trade and other services. This includes an indicator of overall business conditions or business confidence in each sector. The consumer opinion survey indicators cover a restricted set of indicators on consumer confidence, expected economic situation and price expectations. Business and consumer opinion (tendency) surveys provide qualitative information that has proved useful for monitoring the current economic situation. Typically they are based on a sample of enterprises or households and respondents are asked about their assessments of the current situation and expectations for the immediate future. For enterprise surveys this concerns topics such as production, orders, stocks etc. and in the case of consumer surveys their intentions concerning major purposes, economic situation now compared with the recent past and expectations for the immediate future. Many survey series provide advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. Such series are known as leading indicators in cyclical analysis. These types of survey series are widely used as component series in composite leading indicators. The main characteristic of these types of surveys is that instead of asking for exact figures, they usually ask for the direction of change e.g. a question on tendency by reference to a “normal” state, e.g. of production level. Possible answers are generally of the three point scale type e.g. up/same/down or above normal/normal/below normal for enterprise surveys and of the five point scale type e.g. increase sharply/increase slightly/remain the same/fall slightly/fall sharply for consumer surveys. In presenting the results as a time series, only the balance is shown. That is “same” or “normal” answers are ignored and the balance is obtained by taking the difference between percentages of respondents giving favourable and unfavourable answers. Virtually all business tendency and consumer opinion survey data are presented as time series of balances in this dataset, either in raw or seasonally adjusted form. Very few series are presented as indices, and where these exist they have generally been converted from underlying balances by countries before submitting the data to the OECD.  
    • February 2012
      Source: Federal State Statistics Service, Russia
      Uploaded by: Knoema
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      Внешняя торговля товарами Российской Федерации по странам партнерам, 1995-2011
  • C
    • February 2017
      Source: World Resources Institute
      Uploaded by: Knoema
      Accessed On: 26 June, 2017
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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.
    • March 2016
      Source: International Organization of Motor Vehicle Manufacturers
      Uploaded by: Knoema
      Accessed On: 11 April, 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.
    • August 2013
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 24 September, 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.
    • January 2008
      Source: Carbon Dioxide Information Analysis Center
      Uploaded by: Knoema
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      In summary, this database provides estimates of regional and global net carbon fluxes, on a year-by-year basis from 1850 through 2005, resulting from changes in land use (such as harvesting of forest products and clearing for agriculture), taking into account not only the initial removal and oxidation of the carbon in the vegetation, but also subsequent regrowth and changes in soil carbon. The net flux of carbon to the atmosphere from changes in land use from 1850 to 2005 was modeled as a function of documented land-use change and changes in aboveground and belowground carbon following changes in land use.
    • November 2015
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 12 December, 2015
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      Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings).
    • November 2015
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 September, 2016
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      Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings).
    • December 2013
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 20 January, 2014
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      Eurostat Dataset Id:fish_ca_00 Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings). The concepts and definitions used in the compilation of catch statistics are those laid down by the Coordinating Working Party on Fishery Statistics (CWP), of which Eurostat is one of the member organizations. These concepts and definitions have been in force since the late 1950's and are applied uniformly worldwide by the CWP and by the national authorities reporting to its member organizations. Therefore, though the quality of the data varies from country to country (being in many cases a function of the general characteristics of the national fishing industry), there is a high degree of comparability between countries and over time.  Nominal catch  The data refer to the catch of freshwater, brackish water and marine species of fish, crustaceans, molluscs and other aquatic animals and plants, killed, caught, trapped or collected for all commercial, industrial, recreational and subsistence purposes. In view of the importance of recreational fishing regarding some stocks and for certain countries, as well as the difficulty of distinguishing between recreational and subsistence fishing, the data should include the catches from recreational fisheries as well. However, it is recognised that certain countries are unable to supply the data for recreational fisheries. The catches are expressed in the live weight equivalent of the landings. As such they exclude all quantities caught but not landed (for example: discarded fish, fish consumed on board). The unit used is generally the metric ton. Data for marine mammals (e.g. whales) and certain other animals (e.g. crocodiles) are expressed in the number caught. The nominal catch data are normally derived from the landed quantities of the fishery products. For this purpose, the landed weight is converted to the live weight equivalent (nominal catch) by the application of factors. Species: All species for which catches are reported to international organizations are included in the Eurostat's database. They are identified by the internationally assigned three letter identifier (e.g. COD = Atlantic cod, PLE = European plaice) according to the FAO ASFIS (Aquatic Sciences and Fishery Information System) list of Species for Fishery Statistics Purposes. Fishing areas/regions: The catches are sub-divided by the area in which they occur. The methodologies vary from country to country depending on the nature of their fishing industries. Basic documentation used in collecting the data from EU fisheries are fishing log-books, landings declarations and sales notes used in the management of catch quota and market management systems within the Common Fisheries Policy. The methodologies used by EEA member countries have been described in the Eurostat publication "Fisheries: The collection and compilation of fish catch and landing statistics in member countries of the European Economic Area". Those used by the New Member States are described in a working document "Fisheries: The collection and compilation of fishery statistics in European Union Candidate Countries"
    • September 2015
      Source: ScienceDirect
      Uploaded by: Knoema
      Accessed On: 15 May, 2017
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      China : Natural Gas Price
    • June 2017
      Source: China Internet Network Information Center (CNNIC)
      Uploaded by: Knoema
      Accessed On: 14 September, 2017
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      China: Internet Penetration Statistics by Province Note :- From 1997 to 2014 Data cited at China Power Project - https://chinapower.csis.org/data/internet-penetration-statistics-province/   From 2015 to 2016 collected from https://cnnic.com.cn/IDR/ReportDownloads/
    • November 2016
      Source: PK Thinker
      Uploaded by: Knoema
      Accessed On: 17 November, 2016
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      Note: Data cited at,China Power Plants Investment by Region and Power Source 2007-2016 - https://kapsarc.opendatasoft.com/explore/dataset/investment-data-of-power-plant2007-12-2016-4/tableChina Electricity Production by Region and Source 2006-2016 - https://kapsarc.opendatasoft.com/explore/dataset/production-data2006-2-2016-4/tableChina Electricity Line Loss by Region 2006-2016 - https://kapsarc.opendatasoft.com/explore/dataset/no-name1/table/China Electricity Incremental Capacity by Region and Source 2008-2016 - https://kapsarc.opendatasoft.com/explore/dataset/incremental-capacity-data2008-3-2016-4/table/China Electricity Capacity by Power Source 2002-2016 - https://kapsarc.opendatasoft.com/explore/dataset/capacity-data2002-12-2016-4/tableChina Coal Production by Province 2011-2015 - https://kapsarc.opendatasoft.com/explore/dataset/china-coal-production-by-provinces-2011-2015/table
    • September 2017
      Source: National Bureau of Statistics, China
      Uploaded by: Knoema
      Accessed On: 15 September, 2017
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      China Regional Dataset
    • June 2017
      Source: China Internet Network Information Center (CNNIC)
      Uploaded by: Knoema
      Accessed On: 18 September, 2017
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      In 1997 China’s competent departments authorized China Internet Network Information Center (CNNIC) to organize relevant Internet entities to jointly carry out an Internet development survey. Ever since then, CNNIC has published 38 statistical reports on Internet development in China, and this report is the 39th report. All the reports of CNNIC have witnessed the whole development process of China’s soaring Internet industry. With precise and objective data, the reports provide a significant basis for government departments and companies to master the development of Internet in China and make relevant decisions. Since 1998 CNNIC has been issuing the Statistical Report on Internet Development in China at the beginning and middle of every year by convention. The Internet has growing influence on the overall social stability, economic development and cultural development, and the national strategy of cyber development has been moved forward. As a witness to Internet development, CNNIC correspondingly expanded and deepened its survey on the whole society’s application of Internet. The main body of this report consists of five chapters: Basic Resources, Enterprise Application, Personal Application, Government Application and Cyber Security. The chapter of Basic Resources introduces the development of basic resources for Internet in China; that of Enterprise Application conducts surveys on Chinese companies to have an understanding of application of the Internet in the operation of these enterprises; that of Personal Application is dedicated to the size and structure of Internet users, the environment for Internet access and the development of personal application of Internet; that of Government Application focuses on the overview of e-government services, and development of Zhengwutoutiao (headlines of government affairs based on the App Top News) and official Weibo of government affairs; and that of Cyber Security concentrates on the basic situation of domestic cyber security. The report aims to accurately and objectively reflect the development of the Internet and IT application in China in 2016 through the aforesaid five aspects.
    • July 2015
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 20 October, 2015
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    • January 2016
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 22 September, 2016
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    • December 2012
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 05 September, 2016
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    • July 2017
      Source: End Coal
      Uploaded by: Knoema
      Accessed On: 30 August, 2017
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    • March 2016
      Source: UNESCO Institute for Statistics
      Uploaded by: Knoema
      Accessed On: 22 March, 2016
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    • June 2012
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 11 September, 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.   
    • October 2017
      Source: Organisation for Economic Co-operation and Development
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      Accessed On: 11 October, 2017
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      CLIs are calculated for 33 OECD countries (Iceland is not included), 6 non-member economies and 8 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators. CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms. For further information on interpretation and comparability of various form please refer to the presentation section of the OECD CLI methodology document: http://www.oecd.org/std/leading-indicators/41629509.pdf. The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI. The full list of component series used in the calculation of each country's CLI is available on the OECD website at: http://www.oecd.org/std/leading-indicators/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm . Detailed information on the OECD methodology for CLIs can be found on the OECD website at http://stats.oecd.org/mei/default.asp?rev=2 .
    • December 2016
      Source: Concordia
      Uploaded by: Knoema
      Accessed On: 28 July, 2017
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      THE CONCORDIA PARTNERSHIP Index (the Index) was developed as a tool for public, private, and nonprofit organizations to identify opportunities to form strategic partnerships and pool resources for the implementation of innovative ideas. The Index ranks countries based on their readiness and need to engage in public-private partnerships (P3s). The inclu- sion of the need indicators sets the Index apart from other indices that measure P3 environ- ments. While the success of a P3 depends on a country’s political and market structures, the Index recognizes that for a P3 to be truly impactful it must address a large-scale need.
    • October 2017
      Source: International Monetary Fund
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      Accessed On: 17 October, 2017
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      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • September 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 25 September, 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.
    • December 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 13 February, 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).
    • December 2016
      Source: Transparency International
      Uploaded by: Knoema
      Accessed On: 30 January, 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.
    • February 2017
      Source: Numbeo
      Uploaded by: Knoema
      Accessed On: 07 March, 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.
    • November 2014
      Source: Central Agency for Public Mobilization and Statistics of Egypt
      Uploaded by: Knoema
      Accessed On: 10 December, 2014
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    • November 2012
      Source: Freedom House
      Uploaded by: Knoema
      Accessed On: 12 December, 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.
    • April 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 20 August, 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.
    • July 2017
      Source: Federal Financial Institutions Examination Council
      Uploaded by: Knoema
      Accessed On: 14 August, 2017
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      Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report
    • April 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 21 June, 2017
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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
    • July 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 29 July, 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
    • June 2017
      Source: Reputation Institute
      Uploaded by: Knoema
      Accessed On: 18 July, 2017
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      Country RepTrak | Top Countries by ReputationThe Global RepTrak® 100 is a study that Reputation Institute conducts annually to measure the reputation of the world’s 100 most highly-regarded and familiar global companies in 15 countries. Included firms must meet the following qualifications: 1) Have a significant economic presence in the 15 largest economies 2) Have an above average reputation in its home country 3) Have global familiarity over 40% It is the largest Global reputation study, with ~170,000 ratings collected in Q1 2017.   Normative Scale for Reputation track pulse score Excellent/Top Tier: 80+ Strong/Robust: 70-79 Avg./Moderate: 60-69 Weak/Vulnerable: 40-59 Poor/Lowest: <40
    • March 2012
      Source: Knoema
      Uploaded by: Knoema
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      Country Risk Assessment Database, 2012. Source: Multiple Sources - EuroStat, WB, IMF, OECD, UNCTAD
    • January 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 17 February, 2017
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      The country statistical profiles provide a broad selection of indicators, illustrating the demographic, economic, environmental and social developments, for all OECD members. The dataset also covers the five key partner economies with which the OECD has developed an enhanced engagement program with (Brazil, China, India, Indonesia and South Africa) ,accession countries (Colombia, Costa Rica and Lithuania) , Peru and the Russian Federation. The user can easily compare indicators across all countries. Total fertility rates - Unit of measure used: Number of children born to women aged 15 to 49
    • April 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 18 April, 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.
    • February 2017
      Source: Numbeo
      Uploaded by: Knoema
      Accessed On: 27 April, 2017
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      Crime Index is an estimation of overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite opposite of crime index. If the city has a high safety index, it is considered very safe.
    • February 2013
      Source: RAND Corporation
      Uploaded by: Knoema
      Accessed On: 18 November, 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
    • June 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 February, 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.
    • December 2016
      Source: European Commission
      Uploaded by: Knoema
      Accessed On: 25 April, 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
    • June 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 February, 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.
    • May 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 18 July, 2017
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      This table shows exchange rates for currencies used in over 190 world economies presented in a cross rates 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.
  • D
    • March 2014
      Source: Center for Systemic Peace
      Uploaded by: Knoema
      Accessed On: 08 August, 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
    • April 2017
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 20 July, 2017
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      Financing Global Health 2016 is the eighth edition of IHME’s annual series on global health spending and health financing. In addition to describing the trends in development assistance for health (DAH), this year’s report features an expanded discussion of domestic spending across low-, middle-, and high-income countries to describe the context in which DAH operates, identify health financing gaps, and support the pursuit of universal health coverage. Also new in Financing Global Health this year are detailed data for the funding of specific program areas within DAH for malaria and more thorough analysis of DAH for health system strengthening. This adds to the existing detailed tracking of DAH by program area for HIV/AIDS, maternal, newborn, and child health, and non-communicable diseases (NCDs). The coverage of domestic health spending builds on data and analyses presented in two papers published this year: “Global Burden of Disease Financing Global Health Collaborator Network. Evolution and patterns of global health financing 1995–2014: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries,” and “Global Burden of Disease Financing Global Health Collaborator Network. Future and potential spending on health 2015–2040 by government, prepaid private, out-of-pocket, and donor financing for 184 countries.” Both analyses were published in The Lancet in April 2017. More information about these data and methods are found in the online methods annex.
    • December 2013
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 01 March, 2017
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      Table used in this dataset.   Table 2.20. Communications data for key partners and partners countries
    • December 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 10 March, 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
    • December 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 01 March, 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, 1997-2014 Table 2.45. IPv6 cumulative allocations by RIR Table 2.46. IPv6 allocations by RIR, yearly basis Table 2.47. IPv4 and IPv6 enabled autonomous systems per country, 2014 Table 2.48. IPv6 user penetration rates Table 2.49. Percentage of Content (Web page) available over IPv6 Table 2.51. Cumulative total of IPv4 address allocations by country, 1997-2014 Table 2.52. Routed IPv4 addresses by country, 1997-2014 Table 2.53. Routed autonomous systems by country and type, 2014 Table 2.54. Average routed IPv4 addresses per AS by country, 1997-2014
    • December 2013
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 01 March, 2017
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      Luxembourg is included in Belgium prior to 1999. Trade data for China are estimates corrected for re-exports/re-imports from Hong Kong SAR of China. Tables included to this dataset. Table 2.35. Total staff in telecommunications services Table 2.36. Communication equipment exports, USD millions Table 2.37. Communication equipment imports, USD millions a.
    • May 2007
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 28 May, 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.
    • July 2017
      Source: Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 11 August, 2017
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      Direct Investment Abroad: Reinvestment of Earnings Without Current Cost Adjustment, United States
    • July 2017
      Source: Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 11 August, 2017
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      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 25 November, 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.
    • September 2012
      Source: Americans for Divorce Reform
      Uploaded by: Knoema
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      Divorce Indicators across countries
    • March 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 20 April, 2016
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      1. ccTLDs stands for country code Top Level Domains. 2. gTLDs - stands for generic top-level domains.
    • January 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 18 March, 2016
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    • December 2008
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: 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
    • July 2013
      Source: Earth Policy Institute
      Uploaded by: Knoema
      Accessed On: 08 July, 2013
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      Contains annual data series on water consumption, irrigated area, solar water and space heating area, countries overpumping aquifers and water deficits for the countries and regions through the time period from 1961 to 2013.
    • February 2015
      Source: U.S. Geological Survey
      Uploaded by: Knoema
      Accessed On: 28 April, 2015
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    • April 2014
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 26 May, 2016
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      The East Asia and Pacific Economic Update is the comprehensive, twice-yearly review of the region’s economies prepared by the East Asia and Pacific region of the World Bank. The report provides forward-looking analysis of the region's economic and social well-being, and includes data on key indicators for output, employment, prices, public sector, foreign trade, BOP, external debt and financial markets.
    • October 2016
      Source: Fraser Institute
      Uploaded by: Knoema
      Accessed On: 07 December, 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.
    • May 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 22 May, 2014
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      The OECD Long Term Baseline analyzes the major economic trends beyond the OECD short-term projections. For all OECD economies, and the major non-OECD economies, it provides coverage of components of potential growth, fiscal balances and debt accumulation, domestic saving and investment balances, and external balances (through the current account). It also includes interest rates consistent with those projections. The database contains annual data to 2060. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Annual National Accounts, the International Monetary Fund, the United Nations, and Eurostat.
    • December 2012
      Source: Liberia Institute of Statistics & Geo-Information Services
      Uploaded by: Knoema
      Accessed On: 21 May, 2013
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    • January 2016
      Source: Edelman
      Uploaded by: Knoema
      Accessed On: 24 May, 2017
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      6Edelman Trust Barometer reveals that trust is in crisis around the world. The general population’s trust in all four key institutions — business, government, NGOs, and media — has declined broadly, a phenomenon not reported since Edelman began tracking trust among this segment in 2012. With the fall of trust, the majority of respondents now lack full belief that the overall system is working for them. In this climate, people’s societal and economic concerns, including globalization, the pace of innovation and eroding social values, turn into fears, spurring the rise of populist actions now playing out in several Western-style democracies. To rebuild trust and restore faith in the system, institutions must step outside of their traditional roles and work toward a new, more integrated operating model that puts people — and the addressing of their fears — at the center of everything they do.
    • December 2015
      Source: United Nations Development Programme
      Uploaded by: Misha Gusev
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      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • November 2016
      Source: Institute of Statistics and Economic Studies, Burundi
      Uploaded by: Knoema
      Accessed On: 28 June, 2017
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    • October 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 14 October, 2017
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      The present data collection consists of the following indicators:Interest rates : Day-to-day money market interest rates, 3-month interest rates, Euro yields and Long term government bond yields - Maastricht definitionEuro/Ecu exchange rates: Exchange rates against the ECU/euroEffective exchange rates indices : Nominal Effective Exchange Rate, Real Effective Exchange Rate Â
    • December 2012
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 17 November, 2016
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      These tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2012 : OECD COUNTRIES. They comprise the summary of agricultural support estimates for OECD countries.
    • June 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 February, 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.
    • June 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 26 December, 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.
    • February 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • February 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • February 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • February 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • February 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 09 February, 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).
    • October 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 October, 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:
    • April 2012
      Source: Ministry of Statistics and Programme Implementation, Government of India
      Uploaded by: Knoema
      Accessed On: 25 December, 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.
    • May 2017
      Source: Federal Institute for Geosciences and Natural Resources
      Uploaded by: Knoema
      Accessed On: 08 June, 2017
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    • September 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 04 April, 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.
    • June 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 February, 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
    • March 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 06 September, 2017
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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.
    • August 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 08 September, 2014
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    • January 2016
      Source: Environmental Performance Index
      Uploaded by: Knoema
      Accessed On: 09 March, 2016
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    • January 2016
      Source: Environmental Performance Index
      Uploaded by: Knoema
      Accessed On: 08 March, 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.
    • January 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 29 August, 2017
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      The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally-comparable measure of the stringency of environmental policy. Stringency is defined as the degree to which environmental policies put an explicit or implicit price on polluting or environmentally harmful behaviour. The index ranges from 0 (not stringent) to 6 (highest degree of stringency). The index covers 28 OECD and 6 BRIICS countries for the period 1990-2012. The index is based on the degree of stringency of 14 environmental policy instruments, primarily related to climate and air pollution.
    • July 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 29 August, 2017
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      EAMFP growth measures the residual growth in the joint production of both the desirable and the undesirable outputs that cannot be explained by changes in the consumption of factor inputs (including labour, produced capital and natural capital). Therefore, for a given growth of input use, EAMFP increases when GDP increases or when pollution decreases. As part of the growth accounting framework underlying the EAMFP indicator, the growth contribution of natural capital and growth adjustment for pollution abatement indicators are derived: Growth contribution of natural capital - measures to what extent a country's growth in output is attributable to natural resource use; Growth adjustment for pollution abatement - measures to what extent a country's GDP growth should be corrected for pollution abatement efforts - adding what has been undervalued due to resources being diverted to pollution abatement, or deducing the ‘excess' growth which is generated at the expense of environmental quality.
    • August 2011
      Source: Multiple Sources
      Uploaded by: 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.
    • January 2010
      Source: European Commission
      Uploaded by: Knoema
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      This dataset provides an overview of the most recent and pertinent annual energy related statistics in Europe. The data is drawn from several sources: the European Commission’s services; international organisations, such as the European Environment Agency and the International Energy Agency and, where no data is currently available, from the European Commission’s estimations. The indicator calculations follow the methodology established by the European Commission - DG Energy.
    • May 2012
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 28 November, 2015
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      The Scoreboard has been prepared from companies' annual reports and accounts received by an independent data provider.
    • September 2015
      Source: Multiple Sources
      Uploaded by: Knoema
      Accessed On: 10 September, 2015
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    • October 2017
      Source: XE
      Uploaded by: Knoema
      Accessed On: 21 October, 2017
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      This dataset contains the exchange rate of 1USD to their country local currency.
    • October 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 22 October, 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.
    • October 2016
      Source: InterNations
      Uploaded by: Knoema
      Accessed On: 11 November, 2016
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    • July 2012
      Source: Knoema
      Uploaded by: 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
    • August 2016
      Source: U.S. Department of Agriculture
      Uploaded by: Knoema
      Accessed On: 01 September, 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.
    • September 2016
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 06 October, 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.
    • July 2014
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 16 July, 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).
    • March 2017
      Source: Coffee Board of India
      Uploaded by: Knoema
      Accessed On: 12 June, 2017
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    • September 2013
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 10 October, 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).
    • September 2005
      Source: National Institute of Statistics, Guinea Bissau
      Uploaded by: Knoema
      Accessed On: 05 June, 2013
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      External Trade of Guinea-Bissau, 2006
    • September 2017
      Source: Ministry of Finance, Republic of China (Taiwan)
      Uploaded by: Knoema
      Accessed On: 22 September, 2017
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  • F
    • June 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 24 June, 2016
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      OECD Factbook provides a global overview of today's major economic, social and environmental indicators which cover a wide range of areas: agriculture, economic production, education, energy, environment, foreign aid, health, industry, information and communications, international trade, labor force, population, taxation, public expenditure and R&D. More countries than ever are covered in greater detail, enabling direct comparisons for many indicators between OECD Members and Brazil, China, India, Indonesia, Russian Federation and South Africa.
    • May 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 16 June, 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.
    • July 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 03 August, 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.
    • June 2012
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 18 July, 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).
    • December 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 12 January, 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).
    • September 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 03 October, 2017
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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.
    • November 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 27 December, 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.
    • May 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 16 June, 2017
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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
    • July 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 04 October, 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.
    • October 2011
      Source: Food and Agricultural Policy Research Institute
      Uploaded by: Knoema
      Accessed On: 25 December, 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.
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 05 April, 2017
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      FDI data are based on statistics provided by 35 OECD member countries.
    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 18 September, 2017
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      FDI statistics cover all entities in an FDI relationship. An FDI relationship is established when an investor in one country acquires 10% or more of the voting power in a business enterprise in another country. The investor is also called a direct investor or a parent and the business enterprise is called a direct investment enterprise or an affiliate. The 10 percent criteria is used to establish that the direct investor has a significant degree of influence over the operations of the direct investment enterprise. The FDI population includes affiliates that are directly and indirectly owned by the parent. In direct ownership, the parent owns the 10% or more voting power itself. In indirect ownership, the parent controls an affiliate that in turn owns 10 percent or more of the voting power in another enterprise. The FDI population also includes enterprises that are not in a direct investment relationship themselves but have a direct investor in common. Called fellow enterprises, they are included because, even though there is no direct investment relationship between the two, any transactions between them likely resulted from the influence that their common direct investor has on both of their operations.
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 05 July, 2017
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    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 03 July, 2017
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    • April 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 07 May, 2014
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      Source: OECD International direct investment database, IMF Reference:Benchmark Definition of Foreign Direct Investment, 3rd edition   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.
    • June 2010
      Source: International Federation of Association Football
      Uploaded by: Knoema
      Accessed On: 20 June, 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.
    • August 2013
      Source: International Fertilizer Industry Association
      Uploaded by: Knoema
      Accessed On: 30 October, 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.
    • September 2017
      Source: International Federation of Association Football
      Uploaded by: Knoema
      Accessed On: 14 October, 2017
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      Monthly updates of FIFA World Football Men's Ranking 
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 18 November, 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.
    • October 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 04 October, 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.
    • September 2017
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 26 September, 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.
    • February 2017
      Source: Finnish Customs
      Uploaded by: Knoema
      Accessed On: 02 March, 2017
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      Foreign trade statistics provide information on the goods trade between Finland and the other EU member states and third countries. Customs compiles statistics on the value and transports of foreign trade and on border traffic.
    • November 2016
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 11 July, 2017
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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.
    • February 2017
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 28 February, 2017
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      Employment statistics are annual statistics providing data by region on the population’s economic activity and employment. From 2005, the employment pension insurance includes those aged 18 to 68, while previously the obligation to take out pension insurance for employees already started from the age of 14. This is visible in the employment statistics from 2005 onwards as a fall in employment by young people and a rise in the number of students. Statistics cannot be compiled reliably on employment by under-age people on the basis of register data. Citizenships are specified in the dataset if the number of people in the citizenship group exceeds 299.
    • March 2017
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 28 July, 2017
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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.
    • September 2017
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 22 September, 2017
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      Accommodation statistics describe the supply and use of hotel services, and provide data on the numbers of users of these services and on overnight stays. Arrivals, Nights spend, Change of nights spend, %, (3). Note: 2016 Annual data is sum of January to May and for rest of the years from January to December
    • September 2017
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 21 September, 2017
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      The statistics on balance of payments describes the external balance of the national economy from the perspectives of both real and financial economy.
    • October 2016
      Source: Statistics Finland
      Uploaded by: Knoema
      Accessed On: 04 November, 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.
    • December 2015
      Source: Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 26 December, 2016
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      First Year Expenditures and Planned Total Expenditures for Investments Initiated in 2015, Country of UBO by Type of Investment
    • April 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 11 August, 2017
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • April 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 11 August, 2017
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • April 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 11 August, 2017
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • April 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 11 August, 2017
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 07 July, 2017
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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.. It has been prepared from statistics reported to the OECD by Member countries in their answers to the new version of the annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
    • February 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 01 March, 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.
    • February 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 20 February, 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.
    • September 2017
      Source: Knoema
      Uploaded by: Knoema
      Accessed On: 11 September, 2017
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      Collect food prices data in your country and earn up to $120 every month.We are looking for data collectors who will go to the specific markets weekly, collect data on food prices for about 25 items and submit them into our system.
    • February 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 17 February, 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.
    • February 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 01 March, 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.
    • July 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 30 August, 2017
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      The OECD food waste dataset is a compilation of available data related to food loss and food waste for 32 countries. The period covered may vary across different countries depending on data availability (globally ranging from 1993 to 2013). Several types of sources have been used: international organisations, government and national statistic institutes, OECD delegations, academic studies and private sector or>>/governmental analytical reports. When available, detailed information on sources is provided in the "variable def. and sources" (eg. references to an academic article or a government website).
    • December 2016
      Source: Forbes
      Uploaded by: Knoema
      Accessed On: 06 July, 2017
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      Most innovation rankings are popularity contests based on past performance or editorial whims. We set out to create something very different with the World’s Most Innovative Companies list, using the wisdom of the crowd. Our method relies on investors’ ability to identify firms they expect to be innovative now and in the future.
    • September 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 04 October, 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.
    • October 2016
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 30 December, 2016
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    • December 2016
      Source: Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 23 December, 2016
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      The activities of multinational enterprises statistics available here provide a picture of the overall activities of U.S. affiliates of foreign parents and contain a wide variety of indicators of their financial structure and operations. These statistics cover items that are needed in analyzing the characteristics, performance, and economic impact of MNEs, and are obtained from mandatory surveys of U.S. affiliates of foreign parents conducted by BEA.
    • April 2017
      Source: Statistics Centre of Abu Dhabi
      Uploaded by: Knoema
      Accessed On: 28 July, 2017
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    • June 2012
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 16 July, 2012
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      This Dataset contains 5 Tables. Foreign official reserves - Annual data (mny_for_a); Foreign official reserves - Quarterly data (mny_for_q); Foreign official reserves - Monthly data (mny_for_m); Monetary gold in fine troy ounces - Yearly data (mny_for_gold_a); Monetary gold in fine troy ounces - Monthly data (mny_for_gold_m). Note: i) All data in the datasets represents 'Value at the end of the period (END)'. ii): Eurostat Hierarchy: Economy and finance > Monetary and other financial statistics (mny) > Foreign official reserves (mny_for).
    • October 2017
      Source: U.S. Census Bureau
      Uploaded by: Knoema
      Accessed On: 08 October, 2017
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    • June 2017
      Source: Saudi Arabian Monetary Agency
      Uploaded by: Knoema
      Accessed On: 23 August, 2017
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    • July 2015
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 21 December, 2015
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    • June 2015
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 26 May, 2016
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    • December 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 04 January, 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/
    • May 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 15 June, 2017
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    • December 2016
      Source: Carbon Dioxide Information Analysis Center
      Uploaded by: Knoema
      Accessed On: 17 May, 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)
    • May 2017
      Source: Fund for Peace
      Uploaded by: Knoema
      Accessed On: 31 July, 2017
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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.
    • January 2017
      Source: Freedom House
      Uploaded by: Knoema
      Accessed On: 03 January, 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.
    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 12 October, 2017
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      This dataset shows the state and changes over time in the abstractions of freshwater resources in OECD countries. Water abstractions are a major pressure on freshwater resources, particularly from public water supplies, irrigation, industrial processes and cooling of electric power plants. It has significant implications for issues of quantity and quality of water resources. This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total withdrawal. When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by Member countries may vary considerably among countries.
    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 29 August, 2017
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      Austria: Long-term annual average 1961-90 Belgium: Data exclude underground flows and include estimates Canada: Long-term annual average 1971-2004 Chile: Long-term annual average 2000-2014 Colombia: Long-term annual average 1974-2012 Czech Republic: The long-term annual average refers to the latest 20 years Estonia: Long-term annual average refers to the latest 30 years and includes only data about fresh surface water France: Long-term annual average : 1981-2010. Inflow and outflow: outflow is computed using the throughput of rivers having their source in France but the mouth outside France; measures are taken at the French border using the daily throughputs. Germany: Long-term annual average 1993-2013 Hungary: Long-term annual average 1971-2000 Israel: Long-term annual average 2000-2013 Japan: Long-term annual average 1971-2006 Korea: Long-term annual average 1974-2003 Latvia: Long-term annual average 2005-2013 Lithuania: Long-term annual average 2000-2014 Netherlands: Long-term annual average 1981-2010 Norway: The data for precipitation and evotranspiration refer to the period LTAA (long-term annual average) 1961-90 whereas the others to the period LTAA 1981-2010, that is why precipitation minus evotranspiration is different from internal resources. Poland: Long-term annual average 1951-2014. Estimates on the base of mean annual flow. For more information, see: http://www.kzgw.gov.pl/ , http://www.pgi.gov.pl/ , http://www.psh.gov.pl/ , http://www.imgw.pl/ Slovak Republic: Long-term annual average is 1961-1990 for internal resources, 1961-2000 for external inflow Slovenia: Long-term annual average is 1971-2000 Sweden: Long-term annual average : 1990-2009. The difference between precipitation and evapotranspiration refers to storage Switzerland: Long-term annual average : 1981-2010 Turkey: Long-term annual average: data for internal flow refers to the period 1980-2011 Costa Rica: The long-term annual average refers to 1990-2014
    • November 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 22 February, 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.
    • October 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 01 March, 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
    • October 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 03 October, 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).
    • August 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 24 August, 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.
    • October 2017
      Source: Global Database of Events, Language, and Tone
      Uploaded by: Knoema
      Accessed On: 19 October, 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."
    • October 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 October, 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:
    • October 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 October, 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:
    • January 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 February, 2017
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      This dataset includes gender inequality and development indices.
    • July 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 05 September, 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.
    • February 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 17 February, 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.
    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 26 July, 2017
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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.
    • December 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 04 January, 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.
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 02 December, 2016
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    • August 2016
      Source: German Chemicals Industry Association
      Uploaded by: Knoema
      Accessed On: 05 May, 2017
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      Facts and figures for chemistry (2016), Foreign Trade
    • December 2015
      Source: German Chemicals Industry Association
      Uploaded by: Knoema
      Accessed On: 26 April, 2017
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      Chemistry facts and figures 2016: Investments
    • July 2017
      Source: German Electrical and Electronic Manufacturers' Association
      Uploaded by: Knoema
      Accessed On: 11 September, 2017
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      Facts and figures on the Electrical & Electronic industry
    • November 2016
      Source: Emission Database for Global Atmospheric Research
      Uploaded by: Knoema
      Accessed On: 24 March, 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.
    • July 2017
      Source: Knight Frank
      Uploaded by: Knoema
      Accessed On: 10 October, 2017
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      Note: Countries are ranked according to 12-month price growth. The Knight Frank Global House Price Index established in 2006 allows investors and developers to monitor and compare the performance of mainstream residential markets across the world. The index is compiled on a quarterly basis using official government statistics or central bank data where available. The index’s overall performance is weighted by GDP and the latest quarter’s data is provisional pending the release of all the countries’ results.
    • October 2015
      Source: HelpAge International
      Uploaded by: Knoema
      Accessed On: 16 October, 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.
    • March 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 21 July, 2017
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      This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
    • July 2011
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 21 September, 2017
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      Global Bilateral Migration Database: Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.
    • March 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 21 July, 2017
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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
    • June 2016
      Source: Deloitte
      Uploaded by: Knoema
      Accessed On: 02 June, 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.
    • October 2013
      Source: Netherlands Environmental Assessment Agency
      Uploaded by: Knoema
      Accessed On: 04 November, 2013
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      PBL Netherlands Environmental Assessment Agency is the national institute for strategic policy analyses in the fields of the environment, nature and spatial planning. For global CO2 emissions from 1970 to 2008 it is used the EDGAR 4.2 data set for greenhouse gases, the results from a joint project of the European Commission’s Joint Research Centre (JRC) and the PBL Netherlands Environmental Assessment Agency, published in November 2011. This data set provides greenhouse gas emissions per country and on a 0.1 x 0.1 degree grid for all anthropogenic sources identified by the IPCC (JRC/PBL, 2011) for the period 1970-2008. Although the data set distinguishes about 25 sources categories, emissions are estimated for well over 100 detailed categories as identified in the Revised 1996 IPCC guidelines for compilation of emission inventories (IPCC, 1996). The core EDGAR 4.2 dataset was extended to 2010 using a fast-track approach based on IEA (2012) fuel-use trends for 2009-2010, for the greenhouse gas section in last year’s CO2 report of IEA (Olivier and Janssens-Maenhout, 2012) and it is this extended EDGAR 4.2 FT2010 data set that is used for this assessment.
    • January 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 21 July, 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.
    • November 2016
      Source: DHL
      Uploaded by: Knoema
      Accessed On: 07 December, 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.
    • July 2017
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 13 September, 2017
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      Global Cybersecurity Index, 2017 Source: DOWNLOAD Note: The Global Cybersecurity Index (GCI) is a survey that measures the commitment of Member States to cybersecurity in order to raise awareness. The GCI revolves around the ITU Global Cybersecurity Agenda (GCA) and its five pillars (legal, technical, organizational, capacity building and cooperation). For each of these pillars, questions were developed to assess commitment. Through consultation with a group of experts, these questions were weighted in order to arrive at an overall GCI score. The survey was administered through an online platform through which supporting evidence was also collected. One-hundred and thirty-four Member States responded to the survey throughout 2016. Member States who did not respond were invited to validate responses determined from open-source research. As such, the GCI results reported herein cover all 193 ITU Member States. The 2017 publication of the GCI continues to show the commitment to cybersecurity of countries around the world. The overall picture shows improvement and strengthening of all five elements of the cybersecurity agenda in various countries in all regions. However, there is space for further improvement in cooperation at all levels, capacity building and organizational measures. As well, the gap in the level of cybersecurity engagement between different regions is still present and visible. The level of development of the different pillars varies from country to country in the regions, and while commitment in Europe remains very high in the legal and technical fields in particular, the challenging situation in the Africa and Americas regions shows the need for continued engagement and support. In addition to providing the GCI score, this report also provides a set of illustrative practices that give insight into the achievements of certain countries.
    • February 2017
      Source: Global Democracy Ranking
      Uploaded by: Knoema
      Accessed On: 21 September, 2017
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      The Democracy Ranking 2016 compares the development of quality of democracy in 112 countries during the years 2011-2012 with 2014-2015. It is based on the following dimensions: politics (weighted with 50%), economy (10%), ecology and environment (10%), gender equality (10%), health and health status (10%), and knowledge (10%). The possible values that a country can achieve go from 1 (minimum) to 100 (maximum) (the entire scale is thus 1-100). Rank change: + sign shows improvement in rank and - sign shows deterioration in rank
    • July 2013
      Source: ONE
      Uploaded by: Knoema
      Accessed On: 10 July, 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.
    • August 2015
      Source: Grant Thornton
      Uploaded by: Knoema
      Accessed On: 16 October, 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.
    • January 2016
      Source: International Energy Agency
      Uploaded by: Olga Bikeeva
      Accessed On: 13 June, 2017
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      Electric Vehicles (EVs), primarily Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs), have the capacity to increase energy efficiency, diversify transport energy carriers, and reduce their carbon intensity, supporting the integration of variable renewable energy in the power generation mix and transferring to the transport sector GHG emissions mitigations occurring in power generation. BEVs and PHEVs are also well equipped to reduce emissions of local pollutants in high-exposure areas such as urban environments, where they would also reduce noise levels. This report aims to provide an update on recent EV developments, providing detailed information on the recent evolution of EV registrations (vehicle sales), the number of EVs on the road, their modal coverage across the most relevant global vehicle markets. The analysis also looks at the availability and characteristics of Electric Vehicle Supply Equipment (EVSE), reporting on the evolution of deployment rates. The report includes a review and a discussion of key elements on policy support, both for EVs and EVSE. The analysis is also providing insights on the encouraging signs that characterized the recent evolution of battery costs and energy density.
    • December 2016
      Source: Emission Database for Global Atmospheric Research
      Uploaded by: Knoema
      Accessed On: 20 April, 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.
    • March 2017
      Source: World Economic Forum
      Uploaded by: Knoema
      Accessed On: 19 April, 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 development 2) Environmental sustainability: The extent to which energy architecture has been constructed to minimize negative environmental externalities 3) 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"
    • December 2015
      Source: Global Energy Network Institute
      Uploaded by: Knoema
      Accessed On: 21 July, 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.
    • June 2017
      Source: Enerdata
      Uploaded by: Knoema
      Accessed On: 16 August, 2017
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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.   There are 43 Annex I countries including the European Union.
    • January 2017
      Source: Global Entrepreneurship and Development Institute
      Uploaded by: Knoema
      Accessed On: 01 February, 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
    • March 2016
      Source: Global Entrepreneurship Monitor
      Uploaded by: Knoema
      Accessed On: 23 March, 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.  
    • March 2017
      Source: Global Entrepreneurship Monitor
      Uploaded by: Knoema
      Accessed On: 12 April, 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.
    • June 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 28 June, 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
    • April 2015
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 18 June, 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)
    • May 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 19 June, 2017
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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.
    • March 2017
      Source: GFP
      Uploaded by: Knoema
      Accessed On: 21 July, 2017
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      Global Firepower, 2017   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
    • March 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 24 July, 2017
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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
    • September 2015
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 05 October, 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.
    • November 2016
      Source: World Economic Forum
      Uploaded by: Knoema
      Accessed On: 02 December, 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
    • September 2016
      Source: Dual Citizen LLC
      Uploaded by: Knoema
      Accessed On: 09 December, 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.
    • September 2016
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 14 December, 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
    • October 2017
      Source: International Food Policy Research Institute
      Uploaded by: Knoema
      Accessed On: 18 October, 2017
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      Global Hunger Index, 2017   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 (%)    Date for above indicators are taken as per below year ranges.Indicators12345DateRangeDateRangeDateRangeDateRangeDateRange19921990-199420152014-201620152012-201620152012-201619901988-199220001998-200220082007-200920082006-201020082006-201019951993-199720082006-201020001999-200120001998-200220001998-200220001998-200220172012-201619921991-199319921990-199419921990-199420052003-200719901988-199219901990-199219901988-199219901988-199220122009-201319951993-199719951994-199619951993-199719951993-199720112008-201220052003-200720052004-200620052003-200720052003-200720102005-201020152010-201620132014-201620132010-201420132010-201420092004-200920142009-201320122011-2013    20082003-200820132008-201220112010-2012    20072002-200719961988-199220102006-2008    20062001-200620011994-199820092005-2007    20042000-200520122005-201020082004-2006    19801977-198220112004-200920072003-2005    19971993-199820102003-200820062002-2004    20031999-200320092002-200720042001-2003        19801979-1981        19971995-1997        20032000-2002                 * 6. "Under-five Mortality  Rate(%)" year range has not been specified in source. GHI Severity Scale ≤ 9.9 low 10.0–19.9 moderate 20.0–34.9 serious 35.0–49.9 alarming 50.0 ≤ extremely alarming
    • July 2016
      Source: World Economic Forum
      Uploaded by: Knoema
      Accessed On: 13 January, 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.
    • May 2017
      Source: Global Innovation Index
      Uploaded by: Knoema
      Accessed On: 20 June, 2017
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      The Global Innovation Index (GII) aims to capture the multi-dimensional facets of innovation and provide the tools that can assist in tailoring policies to promote long-term output growth, improved productivity, and job growth. The GII helps to create an environment in which innovation factors are continually evaluated. It provides a key tool and a rich database of detailed metrics for 141 economies this year, which represent 95.1% of the world’s population and 98.6% of global GDP.
    • May 2016
      Source: Internal Displacement Monitoring Centre
      Uploaded by: Knoema
      Accessed On: 18 May, 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).
    • February 2016
      Source: Material Flows
      Uploaded by: Knoema
      Accessed On: 14 June, 2016
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    • June 2017
      Source: Global Open Data Index
      Uploaded by: Knoema
      Accessed On: 28 June, 2017
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    • December 2016
      Source: Milken Institute
      Uploaded by: Knoema
      Accessed On: 06 January, 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)/4 Countries 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
    • June 2017
      Source: Institute for Economics and Peace
      Uploaded by: Knoema
      Accessed On: 09 June, 2017
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      The GPI covers 99.7 per cent of the world’s population, using 23 qualitative and quantitative indicators from highly respected sources and measures the state of peace using three thematic domains: the level of Societal Safety and Security; the extent of Ongoing Domestic and International Conflict; and the degree of Militarization. In addition to presenting the findings from the 2017 GPI, this report includes analysis of the Positive Peace factors that are most important for transitioning to higher levels of peace and how deterioration in Positive Peace are linked to the rise of populism in Europe. The report also assesses the trends in peacekeeping and militarization, including a cost/benefit analysis highlighting the positive economic benefits from early peace building interventions.
    • October 2017
      Source: GlobalPetrolPrices.com
      Uploaded by: Knoema
      Accessed On: 17 October, 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
    • May 2014
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Kirill Kosenkov
      Accessed On: 27 August, 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
    • March 2017
      Source: A. T. Kearney
      Uploaded by: Knoema
      Accessed On: 25 April, 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.
    • July 2017
      Source: Natixis
      Uploaded by: Olga Bikeeva
      Accessed On: 27 July, 2017
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      The Global Retirement Index (GRI) is a multi-dimensional index developed by Natixis Global Asset Management and CoreData Research to examine the factors that drive retirement security and to provide a comparison tool for best practices in retirement policy. The index incorporates 18 performance indicators, grouped into four thematic sub-indices, which have been calculated on the basis of reliable data from a range of international organizations and academic sources. It takes into account the particular characteristics of the older demographic retiree group in order to assess and compare the level of retirement security in different countries around the world. The four thematic indices cover key aspects for welfare in retirement: the material means to live comfortably in retirement; access to quality financial services to help preserve savings value and maximize income; access to quality health services; and a clean and safe environment. The sub-indices provide insight into which particular characteristics are driving an improvement or worsening each country’s position. Data has been tracked consistently to provide a basis for year-over-year comparison. This is the fifth year Natixis Global Asset Management and CoreData have produced the GRI as a guide to the changing decisions facing retirees as they focus on their needs and goals for the future, and where and how to most efficiently preserve wealth while enjoying retirement. As the GRI continues to run each year, it is our hope it will be possible to discern ongoing trends in, for instance, the quality of a nation’s financial services sector, thereby identifying those variables that can be best managed to ensure a more secure retirement. The index includes International Monetary Fund (IMF) advanced economies, members of the Organization for Economic Co-operation and Development (OECD) and the BRIC countries (Brazil, Russia, India, and China). The researchers calculated a mean score in each category and combined the category scores for a final overall ranking of the 43 nations studied. The index is calculated as a percentage from 0% to 100% where 100% represents the most favorable environment to retirement security.
    • December 2016
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 11 October, 2017
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      The Global status report on road safety 2015, reflecting information from 180 countries, indicates that worldwide the total number of road traffic deaths has plateaued at 1.25 million per year, with the highest road traffic fatality rates in low-income countries. In the last three years, 17 countries have aligned at least one of their laws with best practice on seat-belts, drink–driving, speed, motorcycle helmets or child restraints. While there has been progress towards improving road safety legislation and in making vehicles safer, the report shows that the pace of change is too slow. Urgent action is needed to achieve the ambitious target for road safety reflected in the newly adopted 2030 Agenda for Sustainable Development: halving the global number of deaths and injuries from road traffic crashes by 2020. Made possible through funding from Bloomberg Philanthropies, this report is the third in the series, and provides a snapshot of the road safety situation globally, highlighting the gaps and the measures needed to best drive progress.
    • October 2017
      Source: countryeconomy.com
      Uploaded by: Knoema
      Accessed On: 21 October, 2017
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      Global Stock Market Indexes, Daily Update
    • April 2014
      Source: United Nations Office on Drugs and Crime
      Uploaded by: Knoema
      Accessed On: 20 May, 2016
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      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • December 2016
      Source: INSEAD
      Uploaded by: Knoema
      Accessed On: 20 June, 2017
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      This data presents high-level way of mapping individual countries in terms of talent competitiveness consists of comparing their GTCI scores to their GDP per capita for the selected indicators.In its first year, the GTCI model covers 103 countries,representing 86.3% of the world’s population and 96.7% of the world’s GDP (in current US dollars).It is a simplified manner of acquiring a first assessment about the ways in which competitiveness relates to overall level of economic development of a nation.
    • June 2017
      Source: KPMG
      Uploaded by: Knoema
      Accessed On: 05 July, 2017
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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 2017. Provided by KPMG.
    • November 2016
      Source: Institute for Economics and Peace
      Uploaded by: Knoema
      Accessed On: 29 November, 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.
    • January 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 21 July, 2016
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    • December 2014
      Source: World Wide Web Foundation
      Uploaded by: Knoema
      Accessed On: 04 April, 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.
    • April 2014
      Source: Center for Strategic and International Studies
      Uploaded by: Knoema
      Accessed On: 06 February, 2015
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      The Global Youth Wellbeing Index details the performance and provides comparative analysis of 30 countries in terms of overall youth wellbeing and within six domains. The Index is designed to facilitate both thought and action by elevating youth needs and opportunities and young people’s participation on national and global agendas. It also provides public and private sector decision-makers an easier way to understand the big picture, guide actions and investments, and drive progress over time.
    • June 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 21 July, 2017
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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).
    • November 2016
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 21 December, 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).  
    • November 2016
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 01 December, 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.
    • August 2014
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 28 August, 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).
    • August 2014
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 28 August, 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.
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 31 March, 2017
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      Key statistical concept Although there are clear definitions for all the terms used in this survey, countries might have different methodologies to calculate tonne-kilometer and passenger-kilometers. Methods could be based on traffic or mobility surveys, use very different sampling methods and estimating techniques which could affect the comparability of their statistics. Also, if the definition on road fatalities is very clear and well applied by most coutries, this is not the case for road injuies. Indeed, not only countries might have different definitions but the important underreporting of road injuries in most countries can distort analysis based on these data.
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 09 August, 2017
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      Most of the data in Government at a Glance have been compiled by the OECD. However, data are also drawn from the International Monetary Fund (IMF), the International Labour Organization (ILO) and Eurostat. More information can be found in the in the Introduction and in the Readers's guide of the Government at a Glance publication.
    • October 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 12 October, 2017
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      This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas. Data refer to total emissions of CO2 (emissions from energy use and industrial processes, e.g. cement production), CH4 (methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF6) and nitrogen trifluoride (NF3). Data exclude indirect CO2. For UNCCCC Annex I countries, data follow the IPCC 2006 guideline. Territories' coverage are as those defined in the Kyoto Protocol. When interpreting these data it should be kept in mind that they refer to gross direct emissions excluding emissions or removals from land-use, land-use change and forestry (LULUCF). The GDP used to calculate intensities is expressed in USD at 2010 prices and PPPs.
    • September 2014
      Source: United Nations Framework Convention on Climate Change
      Uploaded by: Knoema
      Accessed On: 10 September, 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.
    • January 2015
      Source: University of Groningen
      Uploaded by: Knoema
      Accessed On: 25 February, 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."
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 19 June, 2017
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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).
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 21 June, 2017
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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.
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 30 May, 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 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).
    • May 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 07 June, 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).
    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 06 July, 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.
    • January 2016
      Source: National Science Foundation
      Uploaded by: Knoema
      Accessed On: 13 April, 2016
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      Data collected from table 4-12,4-15
    • October 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 October, 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:
    • October 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 October, 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:
    • October 2015
      Source: bq magazine
      Uploaded by: Knoema
      Accessed On: 11 April, 2016
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      Gulf Dataset 2015 includes below Topics. 1. The Arab World Online 2014: Trends in Internet and Mobile Usage in the Arab Region http://img.b8cdn.com/images/uploads/article_docs/en_gip-mbrsg_bayt_internet_final_20422_EN.pdf 2. Just Falafel Index 2015: Given the popularity and convenience of the Big Mac Index by The Economist, bqdoha.com devised a similar, but more local, solution/version for currency valuation. http://www.bq-magazine.com/magazine-content/2015/01/just-falafel-index 3. CO2 emissions in GCC countries 2014 http://www.bq-magazine.com/gcc-illustrated/2014/08/co2-emissions-gcc-countries 4. Satisfaction with access to quality healthcare in the GCC http://www.bq-magazine.com/gcc-illustrated/2014/07/healthcare-access-gcc
  • H
    • September 2017
      Source: Department of Business, Economic Development & Tourism, State of Hawaii
      Uploaded by: Knoema
      Accessed On: 12 October, 2017
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    • October 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 02 November, 2016
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      OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 14 November, 2016
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      OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.B1:B4
    • October 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 25 November, 2016
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      OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • October 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 15 November, 2016
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      OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • July 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 02 August, 2017
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      The World Bank Health Nutrition and Population Statistics Provides key health, nutrition and population statistics gathered from a variety of international sources. Themes include population dynamics, nutrition, reproductive health, health financing, medical resources and usage, immunization, infectious diseases, HIV/AIDS, DALY, population projections and lending. HNPStats also includes health, nutrition and population statistics by wealth quintiles.
    • June 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 01 August, 2017
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      OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • June 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 08 November, 2016
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    • October 2017
      Source: ClinicalTrials.gov
      Uploaded by: Knoema
      Accessed On: 10 October, 2017
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      ClinicalTrials.gov currently lists 256,210 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.
    • September 2015
      Source: World Organisation for Animal Health
      Uploaded by: Kirill Kosenkov
      Accessed On: 24 September, 2015
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      The World Organisation for Animal Health (OIE) data on Highly Pathogenic Avian Influenza in Animals (HPAI, informally known as bird flu). Number of outbreaks, total susceptible animals & animals destroyed and other stats by country.
    • November 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 26 May, 2017
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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.
    • December 2010
      Source: Maddison Project
      Uploaded by: Knoema
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      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • March 2017
      Source: Ministry of Statistics and Programme Implementation, Government of India
      Uploaded by: Knoema
      Accessed On: 11 September, 2017
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      Horticulture - Area, Production and Productivity Statistics, 2016 Note : This dataset covers the Area, Production and Productivity Statistics of Crops. Data refers to market year, for example data for 2001-02 market year is uploaded as data for 2002
    • February 2017
      Source: United Nations Development Programme
      Uploaded by: Knoema
      Accessed On: 13 April, 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.
    • August 2017
      Source: Financial Tracking Service
      Uploaded by: Knoema
      Accessed On: 23 August, 2017
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  • I
    • January 2008
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 22 September, 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.
    • July 2017
      Source: International Centre for Tax and Development
      Uploaded by: Knoema
      Accessed On: 11 October, 2017
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      ICTD Government Revenue Dataset, 2017 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.
    • November 2016
      Source: International Energy Agency
      Uploaded by: Knoema
      Accessed On: 30 March, 2017
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      The annual World Energy Outlook (WEO) is the world’s most authoritative source of energy market analysis and projections, providing critical analytical insights into trends in energy demand and supply and what they mean for energy security, environmental protection and economic development. The WEO projections are used by the public and private sector as a framework on which they can base their policy-making, planning and investment decisions and to identify what needs to be done to arrive at a supportable and sustainable energy future.
    • September 2017
      Source: International Energy Agency
      Uploaded by: Knoema
      Accessed On: 03 October, 2017
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      Under region dimension "Total"is consist of following areas: 1. US50 2. Europe (France, Germany, Italy, Spain and UK). 3. China 4. Japan 5. India 6. Russia 7. Brazil 8. Saudi Arabia 9. Canada 10. Korea 11. Mexico 12. Iran.
    • February 2011
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
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      IHME results from paper, Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis, published online in The Lancet on April 30 2010. This dataset provides global estimates of adult mortality risk, 45q15 (probability of death between the ages of 15 years and 60 years), between 1970 and 2010.
    • February 2011
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
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      IHME results from paper, Neonatal, post neonatal, childhood, and under-5 mortality for 187 countries, 1970-2010: a systematic analysis of progress towards Millennium Development Goal 4, published online in The Lancet on May 24 2010. This dataset provides estimates of neonatal, post neonatal, childhood, and under-5 mortality for 187 countries between 1970 and 2010.
    • December 2010
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 31 July, 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.
    • September 2011
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
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      IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
    • December 2010
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
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      IHME results from paper, Public financing of health in developing countries: a cross-national systematic analysis published in The Lancet in April 2010. This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.
    • November 2016
      Source: India Meteorological Department
      Uploaded by: Knoema
      Accessed On: 19 January, 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.
    • July 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 10 October, 2017
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      Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010. The measures in this toolkit are based on an updated version of the UN–NBER dataset, which harmonizes COMTRADE bilateral trade flow data at the 4-digit SITC (Rev. 1) level. The export diversification and quality database was developed by IMF staff under an IMF-DFID research collaboration. The Export Diversification Database has three main indicators: the Export Diversification Index, the Extensive Margin, and the Intensive Margin. Higher values for the all three indices indicate lower diversification. The Export Quality Database contains export quality measures across different aggregation levels of export products. Higher values for the quality indices indicate higher quality levels.
    • December 2014
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 13 June, 2017
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      The Government Finance Statistics  http://www.imf.org/external/pubs/ft/gfs/manual/aboutgfs.htm
    • October 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 17 October, 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 October 2017 DatabaseData for Somalia have been added to the database—enlarging the database to a total of 193 countries—and are included in the emerging market and developing economies group composites. Somalia is classified as a member of the Middle East and North Africa region.Data for Gross Domestic Product per Capita, constant prices (purchasing power parity; 2011 international dollars) have been added to the online database.The October 2017 WEO database includes revisions to net and gross debt series for a number of countries. The revisions result from work to better align assets and liabilities included in calculations of net debt to be better aligned with the definition of net debt in the IMF GFS Manual 2014 (GFSM 2014). In particular, for a number of countries, there are changes to the financial assets included in the calculation. For countries where net debt has increased, this has typically been due to the previous inclusion of equity assets in net debt, (e.g. Norway, Finland, Netherlands and Sweden) which have now been excluded. In some cases insufficient assets were being included (e.g. Korea), and once additional financial assets were included this reduced net debt.
    • November 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • January 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • January 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • January 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • January 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • January 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • January 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • August 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 27 August, 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.
    • August 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 26 August, 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.
    • August 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 26 August, 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.
    • August 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 25 August, 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.
    • August 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 25 August, 2014
      Select Dataset
      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.
    • May 2017
      Source: U.S. Department of Homeland Security
      Uploaded by: Knoema
      Accessed On: 21 August, 2017
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    • July 2015
      Source: General Directorate of Statistics, Honduras
      Uploaded by: Knoema
      Accessed On: 17 June, 2016
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    • February 2004
      Source: General Directorate of Statistics and National Accounts, Equatorial Guinea
      Uploaded by: Knoema
      Accessed On: 02 June, 2013
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    • January 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 26 October, 2016
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    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 25 July, 2017
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      http://www.oecd.org/els/soc/IDD-Metadata.pdf
    • December 2016
      Source: Heritage Foundation
      Uploaded by: Knoema
      Accessed On: 14 March, 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.
    • June 2017
      Source: Ministry of Statistics and Programme Implementation, Government of India
      Uploaded by: Knoema
      Accessed On: 14 July, 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.
    • March 2017
      Source: Ministry of Statistics and Programme Implementation, Government of India
      Uploaded by: Knoema
      Accessed On: 13 September, 2017
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      Indian Tourism Data, 2015 Source Details: India Tourism Statistics 2015 (12.27 MB)
    • May 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 June, 2017
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      Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises the series 'Industrial countries' effective exchange rates including New Member States'. The series 'Industrial countries' effective exchange rates excluding New Member States' is no longer updated and may be found in the collection 'Exchange rates: historical data'.
    • May 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 03 June, 2017
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      Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises the series 'Industrial countries' effective exchange rates including New Member States'. The series 'Industrial countries' effective exchange rates excluding New Member States' is no longer updated and may be found in the collection 'Exchange rates: historical data'.
    • June 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 08 June, 2017
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      Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises the series 'Industrial countries' effective exchange rates including New Member States'. The series 'Industrial countries' effective exchange rates excluding New Member States' is no longer updated and may be found in the collection 'Exchange rates: historical data'.
    • July 2017
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 06 August, 2017
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      Eurostat's database covers 1) Production and trade in roundwood and wood products, including primary and secondary products 2) Economic data on forestry and logging, including employment data 3) Sustainable forest management, comprising forest resources (assets) and environmental data. The main types of primary forest products included in (1) are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. Secondary products include further processed wood and paper products. These products are presented in greater detail; definitions are available. All of the data are compiled from the Joint Forest Sector Questionnaire (JFSQ), except for table (e), which is directly extracted from Eurostat's international trade database COMEXT (HS/CN Chapter 44). The tables in (1) cover details of the following topics: - Roundwood removals and production by type of wood and assortment (a) - Roundwood production by type of ownership (b) - Production and trade in roundwood, fuelwood and other basic products (c) - Trade in industrial roundwood by assortment and species (d) - Tropical wood imports to the EU from Chapter 44 of the Harmonised System (e) - Production and trade in sawnwood, panels and other primary products (f) - Sawnwood trade by species (g) - Production and trade in pulp and paper & paperboard (h) - Trade in secondary wood and paper products (i) Data in (2) include the output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging.  The data are in current basic prices and are compatible with National Accounts. They are collected as part of Intergrated environmental and economic accounting for forests (IEEAF), which also covers labour input in annual work units (AWU).  Under (2), two separate tables cover the number of employees of forestry and logging, the manufacture of wood and products of wood and cork, and the manufacture of paper and paper products, as estimated from the Labour Force Survey results. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. More detailed information on wood products and accounting, including definitions and questionnaires, can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.  Data in (3) are not collected by Eurostat, but by the FAO, UNECE, Forest Euope, the European Commission's departments for Environment and the Joint Research Centre. They include forest area, wood volume, defoliation on sample plots, fires and areas with protective functions.
    • July 2016
      Source: United Nations Industrial Development Organization
      Uploaded by: Knoema
      Accessed On: 22 August, 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=
    • January 2014
      Source: Ministry of Commerce and Industry, Saudi Arabia
      Uploaded by: Knoema
      Accessed On: 16 January, 2014
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      Industry and Trade Statistics of Saudi Arabia, 2011
    • July 2017
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 14 September, 2017
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    • March 2016
      Source: UNESCO Institute for Statistics
      Uploaded by: Knoema
      Accessed On: 30 March, 2016
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    • October 2010
      Source: Japan Apparel Technology and Research Association
      Uploaded by: Knoema
      Accessed On: 31 August, 2016
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      The Japan Apparel Industrial Association
    • December 2014
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 04 September, 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.
    • October 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 06 April, 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.
    • September 2017
      Source: International Aluminium Institute
      Uploaded by: Knoema
      Accessed On: 22 September, 2017
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      Definitions: Primary aluminium is aluminium tapped from electrolytic cells or pots during the electrolytic reduction of metallurgical alumina (aluminium oxide). It thus excludes alloying additives and recycled aluminium. Primary aluminium production is defined as the quantity of primary aluminium produced in a defined period. It is the quantity of molten or liquid metal tapped from the pots and that is weighed before transfer to a holding furnace or before further processing. Source of Data: The data included in this IAI Statistical Report have been derived from voluntary reports of IAI Member and non-Member companies. Sources outside the industry or estimates are used for "Estimated Unreported" and "China" regions only. Data Aggregation: The IAI Statistical System is designed to meet the requirement that, in general, individual company data be included only within appropriately aggregated totals by declared geographical areas and not be reported separately. The declared geographical areas and the primary aluminium producing countries which fall in those areas are as follows: Africa: Cameroon, Egypt (12/1975-Present), Ghana, Mozambique (7/2000-Present), Nigeria (10/1997-Present), South Africa Asia (ex China): Azerbaijan*, Bahrain (1/1973-12/2009), India, Indonesia* (1/1973-12/1978), Indonesia (1/1979-Present), Iran (1/1973-6/1987), Iran*, Iran* (7/1987-12/1991), Iran (1/1992-12/1996), Japan, Kazakhstan (10/2007-Present), Malaysia*, North Korea*, Oman (6/2008-12/2009), Qatar (11/2009-12/2009), South Korea (1/1973-12/1992), Tadzhikistan* (1/1973-12/1996), Tadzhikistan (1/1997-Present), Taiwan (1/1973-4/1982), Turkey* (1/1975-2/1976), Turkey (3/1976-Present), United Arab Emirates (11/1979-12/2009) China: China (01/1999-present) Gulf Cooperation Council (GCC): Bahrain (1/2010-Present), Oman (1/2010-Present), Qatar (1/2010-Present), Saudi Arabia (1/2013), United Arab Emirates (1/2010-Present) North America: Canada, United States of America South America: Argentina, Brazil, Mexico (1/1973-12/2003), Suriname (1/1973-7/2001), Venezuela West Europe: Austria (1/1973-10/1992), France, Germany, Greece, Iceland, Italy, Netherlands, Norway, Spain, Sweden, Switzerland (1/1973-4/2006), United Kingdom East & Central Europe: Bosnia and Herzegovina* (1/1981-Present), Croatia*, German Democratic Republic* (1/1973-8/1990), Hungary* (1/1973-6/1991), Hungary (7/1991-1/2006), Hungary (7/1991-1/2006), Montenegro (6/2006-Present), Poland*, Romania*, Russian Federation* (1/1973-8/1994), Russian Federation (9/1994-Present), Serbia and Montenegro* (1/1973-12/1996), Serbia and Montenegro (1/1997-5/2006), Slovakia* (1/1975-12/1995), Slovakia (1/1996-Present), Slovenia* (1/1973-12/1995), Slovenia (1/1996-Present), Ukraine* (1/1973-12/1995), Ukraine (1/1996-Present) Oceania: Australia, New Zealand An asterisk indicates that primary aluminium production data were not reported to the IAI by the company or companies producing primary aluminium solely within that country; these constitute "Estimated Unreported", where data is available.
    • July 2014
      Source: Lesotho Tourism Development Corporation
      Uploaded by: Knoema
      Accessed On: 19 April, 2016
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      This report is a regular publication of the Lesotho Tourism Development Corporation that aims to provide trends for international arrivals to Lesotho and presents the analysis of international tourists’ arrivals to Lesotho.The analysis of International visitor arrivals to Lesotho includes; total number of arrivals to Lesotho recorded from 10 ports in a year and month, purpose of visit, mode of transport to Lesotho, how long visitors stay and country of residence. The data presented in this report was gathered from 10 ports of entry namely, Caledon’spoort, Moshoeshoe I International Airport, Vanroyeen’s Gate, Maputsoe Bridge, Sani Pass Border Post, Peka Bridge, Tele Bridge, Makhaleng Bridge, Qacha’s Nek Bridge and Maseru Bridge.
    • December 2015
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 05 March, 2016
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      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • September 2017
      Source: Federal Reserve Bank of St. Louis
      Uploaded by: Knoema
      Accessed On: 04 October, 2017
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      This dataset contains forecast data from the dataset: https://knoema.com/FREDID2017Aug/international-data-from-fred-monthly-update
    • June 2015
      Source: Barro-Lee
      Uploaded by: Knoema
      Accessed On: 29 September, 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
    • December 2016
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 28 December, 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
    • September 2017
      Source: U.S. Energy Information Administration
      Uploaded by: Knoema
      Accessed On: 05 October, 2017
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    • September 2017
      Source: U.S. Energy Information Administration
      Uploaded by: Knoema
      Accessed On: 21 September, 2017
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      The International Outlook presents an assessment by the U.S. Energy Information Administration of the outlook for international energy markets through 2050. In the International Energy Outlook 2017 (IEO2017) Reference case, total world energy consumption rises from 575 quadrillion British thermal units (Btu) in 2015 to 736 quadrillion Btu in 2040, an increase of 28%. Most of the world’s energy growth will occur in countries outside of the Organization for Economic Cooperation and Development (OECD), where strong, long-term economic growth drives increasing demand for energy. Non-OECD Asia (including China and India) alone accounts for more than half of the world’s total increase in energy consumption over the 2015 to 2040 projection period. By 2040, energy use in non-OECD Asia exceeds that of the entire OECD by 41 quadrillion Btu in the IEO2017 Reference case.
    • October 2017
      Source: U.S. Energy Information Administration
      Uploaded by: Knoema
      Accessed On: 06 October, 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.
    • August 2014
      Source: U.S. Department of Agriculture
      Uploaded by: Knoema
      Accessed On: 02 September, 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
    • July 2012
      Source: Eurostat
      Uploaded by: Knoema
      Accessed On: 17 July, 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).
    • December 2016
      Source: U.S. Department of Agriculture
      Uploaded by: Knoema
      Accessed On: 26 December, 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.
    • December 2015
      Source: United Nations Development Programme
      Uploaded by: Knoema
      Accessed On: 30 August, 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.
    • March 2017
      Source: United Nations Development Programme
      Uploaded by: Knoema
      Accessed On: 27 July, 2017
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    • August 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 10 August, 2017
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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.
    • January 2006
      Source: Walter G. Park
      Uploaded by: Knoema
      Accessed On: 12 July, 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
    • January 2017
      Source: Property Rights Alliance
      Uploaded by: Knoema
      Accessed On: 04 January, 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..
    • September 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 26 September, 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.
    • June 2013
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 22 July, 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.
    • March 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 25 March, 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).
    • March 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 18 April, 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).
    • December 2016
      Source: Federal Communications Commission
      Uploaded by: Knoema
      Accessed On: 14 April, 2017
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    • July 2016
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 07 August, 2017
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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.
    • September 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 25 September, 2017
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      The International Trade (MEI) dataset contains predominantly monthly merchandise trade statistics, and associated statistical methodological information, for the 34 OECD member countries and for all non-OECD G20 economies and the EU. The dataset itself contains international trade statistics measured in billions of United States dollars (USD) for: Exports, Imports, Balance. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis.
    • April 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 12 August, 2017
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      This dataset presents official international trade statistics in fisheries products, directly sourced from the UN Comtrade Database.
    • August 2017
      Source: German Chemicals Industry Association
      Uploaded by: Knoema
      Accessed On: 15 September, 2017
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      Report: International Trade, Germany, 2017 Source Table Details: Page : From 119 to 172 Table : From 60a to 70
    • September 2017
      Source: Bureau of Economic Analysis
      Uploaded by: Knoema
      Accessed On: 25 September, 2017
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    • October 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 October, 2015
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    • March 2016
      Source: U.S. Federal Bureau of Investigation
      Uploaded by: Knoema
      Accessed On: 27 September, 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.
    • June 2017
      Source: Symantec
      Uploaded by: Knoema
      Accessed On: 31 August, 2017
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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 Deep Sight Intelligence, Symantec™ Managed Security Services, Norton™ consumer products, and other third-party data sources.
    • November 2016
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 24 November, 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.
    • December 2012
      Source: Internet World Stats
      Uploaded by: Knoema
      Accessed On: 11 September, 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.
    • February 2016
      Source: Convention on International Trade in Endangered Species
      Uploaded by: Knoema
      Accessed On: 18 February, 2016
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      The investigation was conducted using a series of six one-week “snapshot” surveys from 12 May to 29 June 2008, in each country.
    • June 2012
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 28 July, 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.
    • November 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 09 February, 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.
    • August 2014
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 13 April, 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.
    • December 2006
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 09 December, 2016
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    • December 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 25 March, 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.
    • November 2016
      Source: Investment Company Institute
      Uploaded by: Knoema
      Accessed On: 21 December, 2016
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    • June 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 15 July, 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.
    • August 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 18 July, 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.
    • October 2016
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 11 November, 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
    • December 2015
      Source: Ipsos Mori
      Uploaded by: Knoema
      Accessed On: 08 August, 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/
    • November 2016
      Source: Economic Research and Policy Department, Islamic Republic of Iran
      Uploaded by: Knoema
      Accessed On: 09 January, 2017
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      Iran : Foreign trade, 2014
  • J
    • August 2017
      Source: Statistical Institute of Jamaica
      Uploaded by: Knoema
      Accessed On: 22 September, 2017
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      JamStats is a database that captures information on some of Jamaica's most critical social and economic indicators. Data collected by below mentioned source: http://www.devinfo.org/jamstats/libraries/aspx/Home.aspx  
    • October 2017
      Source: Japan HAM&SAUSAGE Processors Cooperative Association
      Uploaded by: Knoema
      Accessed On: 05 October, 2017
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      Statistics about processed meat products in Japan. The data includes production volume, imports, delivered volume, etc. (Japanese only)
    • December 2016
      Source: Agriculture & Livestock Industries Corporation
      Uploaded by: Knoema
      Accessed On: 13 January, 2017
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      Japan : Livestock and Livestock Products, October 2016
    • December 2016
      Source: Japan Department Stores Association
      Uploaded by: Knoema
      Accessed On: 11 January, 2017
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      Shows sales Statistics for department stores (Available only in Japanese only)
    • September 2016
      Source: Semiconductor Equipment Association of Japan
      Uploaded by: Knoema
      Accessed On: 20 September, 2016
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      Quarterly amount of orders received and sales Jan 2009 to present
    • January 2017
      Source: Agriculture & Livestock Industries Corporation
      Uploaded by: Knoema
      Accessed On: 24 January, 2017
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      Japan : Starch Supply and Demand, 2017
    • October 2016
      Source: Agriculture & Livestock Industries Corporation
      Uploaded by: Knoema
      Accessed On: 18 October, 2016
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      Japan : Sugar Supply and Demand Balance, September 2016
    • September 2016
      Source: Ministry of Economy, Trade and Industry of Japan
      Uploaded by: Knoema
      Accessed On: 20 September, 2016
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      Annual Report 2014 Petroleum Data in Japan. Natural Gas and Crude Oil (Annual Comodities: Production, Shipment and Inventory).
    • October 2009
      Source: Japan Apparel Technology and Research Association
      Uploaded by: Knoema
      Accessed On: 25 August, 2016
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      The Japan Apparel Industrial Association
    • January 2017
      Source: Bearing Industry Association, Japan
      Uploaded by: Knoema
      Accessed On: 06 February, 2017
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      Yearly and Monthly production, shipment value, and import/export of Bearing(Ball, Roller, Bearing unit).
    • June 2017
      Source: Japan LP Gas Association
      Uploaded by: Knoema
      Accessed On: 23 August, 2017
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      Consumption of petroleum gas for household, industrial, automotive and electricity generation use by prefecture.
    • March 2011
      Source: Japan External Trade Organization
      Uploaded by: Knoema
      Accessed On: 22 August, 2016
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      Market Reports Analytical reports on Japanese sectors categorized by industries and report titles. Section covers a wide range of products, services, business and industrial environments, regional enterprises, current market trends and more, with case studies and advice on market entry.
    • February 2017
      Source: Machine Tool Builders’ Association, Japan
      Uploaded by: Knoema
      Accessed On: 27 February, 2017
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      Monthly amount of orders received of Machine Tools Jan 2009 to present.
    • September 2017
      Source: Petroleum Association of Japan
      Uploaded by: Knoema
      Accessed On: 07 September, 2017
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      Monthly data on Oil Sales Performance (by Prefecture) in Japan Jan 2015 - December 2016. Calendar Year includes data from January to December. Fiscal Year includes data from  April to March.
    • September 2017
      Source: Petroleum Association of Japan
      Uploaded by: Knoema
      Accessed On: 06 October, 2017
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      Monthly data on Oil Products Imports (by country) in Japan. 
    • December 2016
      Source: Japanese Shipowners' Association
      Uploaded by: Knoema
      Accessed On: 17 August, 2017
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      Yearly directory of statistics published by Japanese Shipowners' Association (JSA) with a variety of shipping facts in Japan.
    • December 2015
      Source: Japanese Shipowners' Association
      Uploaded by: Knoema
      Accessed On: 28 July, 2016
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      Yearly directory of statistics published by Japanese Shipowners' Association (JSA) with a variety of shipping facts in Japan.
    • December 2016
      Source: Japanese Shipowners' Association
      Uploaded by: Knoema
      Accessed On: 25 January, 2017
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    • December 2015
      Source: Japanese Shipowners' Association
      Uploaded by: Knoema
      Accessed On: 27 July, 2016
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      Yearly directory of statistics published by Japanese Shipowners' Association (JSA) with a variety of shipping facts in Japan.
    • July 2017
      Source: Joint Organisations Data Initiative
      Uploaded by: Knoema
      Accessed On: 22 September, 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.
    • August 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 14 September, 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
    • January 2012
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 26 August, 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
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 20 December, 2016
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    • December 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 24 March, 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.
    • November 2013
      Source: Lao Statistics Bureau
      Uploaded by: Knoema
      Accessed On: 13 December, 2013
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      Lao PDR Regional Statistics, 2013
    • May 2016
      Source: Global CCS Institute
      Uploaded by: Knoema
      Accessed On: 19 July, 2016
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      Globally, there are 15 large-scale CCS projects in operation, with a further seven under construction. The 22 projects in operation or under construction represents a doubling since the start of this decade. The total CO2 capture capacity of these 22 projects is around 40 million tonnes per annum (Mtpa). There are another 10 large-scale CCS projects at the most advanced stage of development planning, the Concept Definition (or Define) stage, with a total CO2 capture capacity of around 14 Mtpa. A further 12 large-scale CCS projects are in earlier stages of development planning (the Evaluate and Identify stages) and have a total CO2 capture capacity of around 25 Mtpa. Two large-scale CCS projects became operational in 2015:The Quest project, located in Alberta, Canada (CO2 capture capacity of approximately 1 Mtpa) was launched in November 2015. The project, involving the manufacture of hydrogen for upgrading bitumen into synthetic crude oil, is North America’s first large-scale CCS project to store CO2 exclusively in a deep saline formation.The Uthmaniyah CO2-EOR Demonstration Project, located in the Kingdom of Saudi Arabia was launched in July 2015. The project is capable of capturing around 0.8 Mtpa of CO2 from the Hayiwah NGL (natural gas liquids) Recovery Plant. Two more industrial CCS projects are expected to become operational in early 2016:The Illinois Industrial CCS Project (CO2 capture capacity of 1 Mtpa) is located at the Archer Daniel Midlands corn-to-ethanol production facility in Decatur, Illinois (United States). The project, the world’s first bio-CCS project at large scale, will be the first integrated CCS project in the United States to inject CO2 into a deep saline formation at a scale of 1 Mtpa.The Abu Dhabi CCS Project (CO2 capture capacity of 0.8 Mtpa), the world’s first iron and steel project to apply CCS at large scale, will involve CO2capture from the direct reduced iron process used at the Emirates Steel plant in Abu Dhabi. Large-scale CCS projects in the power sector are now a reality, demonstrated by:The world’s first large-scale power sector CCS project – the Boundary Dam Carbon Capture and Storage Project in Canada (CO2 capture capacity of 1 Mtpa) – becoming operational in October 2014.Commissioning activities on a new-build 582 megawatt (MW) power plant beginning at the Kemper County Energy Facility in Mississippi (United States, CO2 capture capacity of 3 Mtpa) with CO2 capture expected to commence around the middle of 2016.The Petra Nova Carbon Capture Project at the W.A. Parish power plant near Houston, Texas (US, CO2 capture capacity of 1.4 Mtpa) entering construction in July 2014, with CO2 capture anticipated by the end of 2016.
    • December 2016
      Source: Legatum Institute
      Uploaded by: Knoema
      Accessed On: 06 February, 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.
    • September 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 06 October, 2017
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      The productivity and income estimates presented in this dataset are mainly based on GDP, population and employment data from the OECD Annual National Accounts. Hours worked are sourced from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, timely data issues may arise and affect individual series and/or individual countries. In particular, annual hours worked estimates from the OECD Employment Outlook are typically updated less frequently (once a year, in the summer) than series of hours worked from the OECD Annual National Accounts.
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 14 November, 2016
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      This table contains labour force data on labour market status - population, labour force, unemployment and employment - by sex and by detailed age groups and standard age groups (15-24, 25-54, 55-64, 65+, total). Note: Population figures reported in table LFS by sex are Census-based, while the data for this table are taken from labour force surveys. Population for total age group refers to working age population (15 to 64 years).
    • June 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 10 October, 2017
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      This dataset contains the age composition (as a percentage of all ages) of the population for each labour force status - labour force, employment, unemployment - by sex.
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 17 November, 2016
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        This table contains data on labour force participation rates, employment/population ratios and unemployment rates for both the total labour force and civilian labour force by sex. There are data for both the total age group and the working age population (ages 15 to 64). This table also contains data on the share of civilian employment by sex.
    • September 2017
      Source: LMC Automotive
      Uploaded by: Knoema
      Accessed On: 09 October, 2017
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      Light Vehicle Sales & Production
    • October 2017
      Source: LMC Automotive
      Uploaded by: Knoema
      Accessed On: 16 October, 2017
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      Note: Values for the variables under the parent "LMCA European Monthly Sales Report" and "LMCA Global Monthly Sales Report" are getting updated every month.
    • July 2017
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 21 July, 2017
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    • September 2017
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 08 September, 2017
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      Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty
    • September 2017
      Source: Bank for International Settlements
      Uploaded by: Knoema
      Accessed On: 04 October, 2017
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      Locational banking statistics: Cross-border positions, by nationality of reporting bank and sector of counterparty
    • March 2016
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 13 October, 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).
    • June 2015
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 20 October, 2015
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    • June 2015
      Source: United Nations Economic Commission for Europe
      Uploaded by: Knoema
      Accessed On: 20 October, 2015
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  • M
    • September 2017
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 11 October, 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.
    • October 2017
      Source: U.S. Department of the Treasury
      Uploaded by: Knoema
      Accessed On: 16 October, 2017
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      The data in this table include foreign holdings of U.S. Treasury marketable and non-marketable bills, bonds, and notes reported monthly under the Treasury International Capital (TIC) reporting system. The data are collected primarily from U.S.-based custodians. Since U.S. securities held in overseas custody accounts may not be attributed to the actual owners, the data may not provide a precise accounting of individual country ownership of Treasury securities (see TIC FAQ #7 at: http://www.treasury.gov/resource-center/data-chart-center/tic/Pages/ticfaq1.aspx). -- Data for December 2011 and later include holdings of U.S. Treasury bonds and notes as reported on TIC Form SLT, "Aggregate Holdings of Long-Term Securities by U.S. and Foreign Residents.", including preliminary SLT data for the most recent month on the MFH table. -- The data before December 2011 were collected primarily from U.S.-based custodians and broker-dealers. Those data includes estimated foreign holdings of U.S. Treasury bonds and notes based on adding monthly net transactions from the TIC S Form to the holdings in the most recent annual Survey of Foreign Holdings of U.S. Securities. See footnotes 16 and 17 for details about the transition period during the 3rd and 4th quarter of 2011.
    • August 2017
      Source: National Horticulture Board, India
      Uploaded by: Knoema
      Accessed On: 26 September, 2017
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      Major Fruit Producing Countries in The World, 2016-2017 (3rd Advance Estimates)
    • May 2016
      Source: Department of Statistics, Malaysia
      Uploaded by: Knoema
      Accessed On: 30 May, 2016
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      Annual statistics of Malaysia's balance of payment as time series 1955 - 2014.
    • May 2016
      Source: Department of Statistics, Malaysia
      Uploaded by: Knoema
      Accessed On: 16 May, 2016
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      Annual rubber statistics. (Estates, planted area, production, exports, imports, employment, domestic consumption, stocks) 2005 & 2010.
    • August 2017
      Source: Department of Statistics, Malaysia
      Uploaded by: Knoema
      Accessed On: 14 September, 2017
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    • August 2017
      Source: Ministry of Finance, Malaysia
      Uploaded by: Knoema
      Accessed On: 29 August, 2017
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      Quarterly report on the Malaysian Economy.   For 2017, data is for the period of January to June 2017.
    • February 2017
      Source: Economic Planning Unit, Malaysia
      Uploaded by: Knoema
      Accessed On: 13 April, 2017
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      Selected World Indicators - Gross Domestic Products (1980 - 2017) - Inflation (1980 - 2017) - World Trade (1980 - 2017) 2017 values are forecast data.
    • June 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 30 December, 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.
    • June 2016
      Source: Food and Agriculture Organization
      Uploaded by: Knoema
      Accessed On: 10 February, 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.
    • July 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 05 August, 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.
    • August 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 13 March, 2017
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      The data presented come from the OECD pilot database on material flows, and from other national and international sources. The definitions used are based on the OECD Guide «Measuring material flows and resource productivity» and on ongoing international work on material flow accounting and analysis (MFA). It should be born in mind that the data should be interpreted with caution and that the time series presented here may change in future as work on methodologies for MF accounting progresses. Furthermore, data contain rough estimates for OECD and BRIICS aggregates. These data refer to material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers. The use of materials in production and consumption processes has many economic, social and environmental consequences. These consequences often extend beyond the borders of countries or regions, notably when materials are traded internationally, either in the form of raw materials or as products embodying them. They differ among the various materials and among the various stages of the resource life cycle (extraction, processing, use, transport, end-of-life management). From an environmental point of view these consequences depend on:the rate of extraction and depletion of renewable and non-renewable resource stocksthe extent of harvest and the reproductive capacity and natural productivity of renewable resourcesthe associated environmental burden (e.g. pollution, waste, habitat disruption), and its effects on environmental quality (e.g. air, water, soil, biodiversity, landscape) and on related environmental services These data inform about physical flows of material resources at various levels of detail and at various stages of the flow chain. The information shows: a) the material basis of economies and its composition by major material groups, considering:the extraction of raw materials;the trade balance in physical terms;the consumption of materials;the material inputs b) the consumption of selected materials that are of environmental and economic significance. c) in-use stocks of selected products that are of environmental and economic significance. Domestic extraction used (DEU) refers to the flows of raw materials extracted or harvested from the environment and that physically enter the economic system for further processing or direct consumption (they are used by the economy as material factor inputs). Unused domestic extraction (UDE) exclude excavated soil for construction purposes and soil erosion from agricultural land. The main reason is that excavated soil is commonly not reported in statistics, and estimation methods are not well developed. Imports (IMP) and exports (EXP) are major components of the direct material flow indicators DMI (domestic material input) and DMC (domestic material consumption). They cannot be taken as indication of domestic resource requirements. Indirect flows of imports and exports (IFIMP and IFEXP) indicate the magnitude of global primary materials resource requirements associated with these flows. They thus indicate a generic environmental pressure caused by foreign resource requirements The physical trade balance (PTB) refers to the trade surplus or deficit of an economy, which is defined as imports minus exports of raw materials and manufactured products. Domestic material consumption (DMC) refers to the amount of materials directly used in an economy, which refers to the apparent consumption of materials. DMC is computed as DEU minus exports plus imports. Domestic material input (DMI) is computed as DEU plus imports. Total material requirements (TMR) is computed as DMI plus indirect flows of imports (IFIMP) plus UDE Total material consumption (TMC) is computed as DMC plus UDE plus physical trade balance of indirect flows (IFPTB) Total Material Requirement (TMR) and Total Material Consumption (TMC) exclude the components of (domestic) earth/soil excavation and dredging, and the (domestic) soil erosion from agricultural land. The material groups are: Food: food crops (e.g. cereals, roots, sugar and oil bearing crops, fruits, vegetables), fodder crops (including grazing), wild animals (essentially marine catches), small amounts of non-edible biomass (e.g. fibres, rubber), and related products including livestock. Wood: harvested wood and traded products essentially made of wood (paper, furniture, etc.). Construction minerals: non-metallic construction minerals whether primary (e.g. sand, gravel, stones, limestone, excavated soil if used) or processed (e.g. glass, cement, concrete). Industrial minerals: non-metallic industrial minerals whether primary or processed (e.g. salts, arsenic, potash, phosphate rocks, sulphates, asbestos). Metals: metal ores, metals and products mainly made of metals. Fossil fuel: coal, crude oil, natural gas a,d peat, as well as manufactured products predominantly made of fossil fuels (e.g. plastics, synthetic rubber).
    • December 2015
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 08 December, 2015
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    • December 2016
      Source: International Telecommunication Union
      Uploaded by: Knoema
      Accessed On: 09 January, 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.
    • October 2016
      Source: Melbourne Mercer
      Uploaded by: Knoema
      Accessed On: 12 December, 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.
    • October 2016
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 07 March, 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.
    • April 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 05 September, 2017
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      This dataset shows the value of total exports (free on board - FOB) and imports (cost, insurance and freight - CIF), expressed in millions of dollars and percentages of the world total, of individual countries, geographical regions and selected economic groupings.
    • January 2015
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 23 April, 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.
    • June 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 24 July, 2017
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      This dataset presents merchandise trade by trading partner and product based on three digit level SITC Revision 3 commodity classification, expressed in thousands of dollars. In addition, data are also summarized by geographical region, economic and trade grouping, for both reporting country and its trading partner, and by product grouping.
    • June 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 27 July, 2017
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      This dataset presents merchandise trade by trading partner and product based on SITC, Rev.3 commodity classification (the most detailed level is two digit), expressed in thousands of dollars. In addition, data are also summarized by geographical region and economic grouping, for both reporting country and its trading partner, and by product grouping.
    • November 2016
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 09 December, 2016
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      This table presents merchandise trade by trading partner expressed in thousands of dollars
    • June 2017
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 27 September, 2017
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      This dataset shows statistics on the international maritime transport. It contains data on the size of the world merchant fleet by flag of registration and by type of ship. Data are presented in thousands of dead-weight tons (DWT). The dataset presents also, for each region or country 1) its share in the world fleet, and 2) the share of a ship-type in its fleet. From 2011 onwards, the figures on numbers of ships are also available, as well as the data in gross tonnage (GT).
    • January 2017
      Source: Gobierno
      Uploaded by: Knoema
      Accessed On: 04 January, 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.
    • January 2015
      Source: Right Diagnosis
      Uploaded by: Knoema
      Accessed On: 04 February, 2016
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    • February 2015
      Source: U.S. Census Bureau
      Uploaded by: Knoema
      Accessed On: 20 September, 2015
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    • April 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 22 June, 2017
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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.
    • June 2017
      Source: Nestpick
      Uploaded by: Olga Porozova
      Accessed On: 30 June, 2017
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      Nestpick studied thousands of cities to hand-pick 100 places considered to be millennial dream destinations. It ranked cities by relevant factors to compile the ultimate Millennial City Ranking. These factors include Employment, Startup, Tourism, Housing, Transport, Health, Food, Internet Speed, Apple Store, Access to Contraception, Gender Equality, Immigration Tolerance, LGBT Friendly, Nightscene, Beer, and Festival
    • July 2017
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 17 August, 2017
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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.
    • October 2017
      Source: Saudi Arabian Monetary Agency
      Uploaded by: Knoema
      Accessed On: 19 October, 2017
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    • June 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 07 August, 2017
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      This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2017, which monitors agricultural policy developments in 35 OECD member countries, 6 non-OECD EU member states and 11 emerging economies: Brazil, China, Colombia, Costa Rica, Indonesia, Kazakhstan, Russia, the Philippines, South Africa, Ukraine and Viet Nam. The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s work on agricultural policies. 
    • September 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 13 October, 2017
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      The [Monthly Monetary and Financial Statistics (MEI)] dataset is a subset of the [Main Economic Indicators] (MEI) database which contains predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and the non-member countries: Brazil, China, India, Indonesia, Russian Federation, and South Africa. The MEI database contains a wide variety statistics that can be classified as Short-Term Economic Statistics. The [Financial Indicators (MEI)] dataset itself contains financial statistics on five separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, and Share Prices. The data series presented within these subjects have been chosen as the most relevant financial statistics in the MEI database for which comparable data across countries is available. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. All data are available monthly, and are presented as either an index (where the year 2010 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context.
    • June 1999
      Source: National Oceanic and Atmospheric Administration
      Uploaded by: Knoema
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      Monthly Temperature Anomaly time series for China, India, and the United States.
    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 29 August, 2017
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      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) and ground-level ozone (O3) have potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. Exposure to ground-level ozone (O3) has serious consequences for human health, contributing to, or triggering, respiratory diseases. These include breathing problems, asthma and reduced lung function (WHO, 2016; Brauer et al., 2016). Ozone exposure is highest in emission-dense countries with warm and sunny summers. The most important determinants are background atmospheric chemistry, climate, anthropogenic and biogenic emissions of ozone precursors such as volatile organic compounds, and the ratios between different emitted chemicals.
    • October 2016
      Source: United Nations Conference on Trade and Development
      Uploaded by: Knoema
      Accessed On: 14 November, 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.
    • August 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 28 August, 2017
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      This dataset shows data provided by Member countries' authorities through the questionnaire on the state of the environment (OECD/Eurostat). They were updated or revised on the basis of data from other national and international sources available to the OECD Secretariat, and on the basis of comments received from national Delegates. Selected updates were also done in the context of the OECD Environmental Performance Reviews. The data are harmonised through the work of the OECD Working Party on Environmental Information (WPEI) and benefit from continued data quality efforts in OECD member countries, the OECD itself and other international organisations. In many countries systematic collection of environmental data has a short history; sources are typically spread across a range of agencies and levels of government, and information is often collected for other purposes. When interpreting these data, one should keep in mind that definitions and measurement methods vary among countries, and that inter-country comparisons require careful interpretation. One should also note that data presented here refer to national level and may conceal major subnational differences. This dataset presents trends in amounts of municipal (including household waste), and the treatment and disposal method used. The amount of waste generated in each country is related to the rate of urbanisation, the types and pattern of consumption, household revenue and lifestyles.
    • February 2016
      Source: Pew Research Center
      Uploaded by: Knoema
      Accessed On: 05 February, 2016
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      Notes : 2010 is Estimated Population, 2030 is Projected Population.
  • N
    • October 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 17 October, 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. 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.
    • December 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 28 February, 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.
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 17 November, 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.
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 16 November, 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.
    • August 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 01 August, 2017
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      This dataset presents information using an "indicator" approach, focusing on cross-country comparisons. The aim is to make the accounts more accessible and informative, whilst taking the opportunity to present the conceptual underpinning  and comparability issues of each of the indicators presented. The range of indicators is set deliberately wide to reflect the richness of the national accounts dataset and to encourage users of economic statistics to refocus some of the spotlight that is often placed on GDP to other important economic indicators, which may better respond to their needs. Indeed many users themselves have been instrumental in this regard. The report of the Commission on the Measurement of Economic Performance and Social Progress (Stiglitz-Sen-Fitoussi Commission) is but one notable example. That is not to undermine the importance of GDP, which arguably remains the most important measure of total economic activity, but other measures may better reflect other aspects of the economy. For example, net national income may be a more appropriate measure of income available to citizens in countries with large outflows of property income, and household adjusted disposable income per capita may be a better indicator of the material well-being of citizens. But certainly from a data perspective more can and remains to be done. The Stiglitz-Sen-Fitoussi Commission for example highlights the pressing need for the provision, by official statistics institutes, of more detailed information that better describes the distributional aspects of activity, especially income, and the need to build on the national accounts framework to address issues such as non-market services produced by households or leisure. It is hoped that by producing a publication such as this and thereby raising awareness, the momentum from this and other initiatives will be accelerated. The publication itself will pick up new indicators in the future as they become available at the OECD.
    • December 2016
      Source: United Nations Statistics Division
      Uploaded by: Knoema
      Accessed On: 10 February, 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.
    • February 2017
      Source: National Institute of Statistics and Censuses, Costa Rica
      Uploaded by: Knoema
      Accessed On: 30 May, 2017
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    • October 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 18 October, 2017
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      The 'National Consumer Price Indices (CPIs) by COICOP Divisions' dataset contains national CPIs, national CPI weights and associated statistical methodological information. The aim is to progressively expand it in order to eventually cover all OECD countries. This dataset is the result of a joint OECD-IMF data collection of National CPIs at a detailed level according to the COICOP classification.
    • September 2015
      Source: Institute of Statistics and Economic Studies, Burundi
      Uploaded by: Knoema
      Accessed On: 28 September, 2015
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    • December 2015
      Source: World Health Organization
      Uploaded by: Knoema
      Accessed On: 16 June, 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
    • May 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 29 June, 2016
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      National landings in domestic ports
    • December 2016
      Source: National Venture Capital Association
      Uploaded by: Knoema
      Accessed On: 05 February, 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.
    • October 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 26 October, 2015
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    • December 2016
      Source: Multiple Sources
      Uploaded by: Knoema
      Accessed On: 31 March, 2017
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    • June 2015
      Source: McAfee
      Uploaded by: Knoema
      Accessed On: 18 September, 2015
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      Cybercrime is a growth industry. The returns are great, and the risks are low. We estimate that the likely annual cost to the global economy from cybercrime is more than $400 billion.1 A conservative estimate would be $375 billion in losses, while the maximum could be as much as $575 billion. Even the smallest of these figures is more than the national income of most countries and governments and companies underestimate how much risk they face from cybercrime and how quickly this risk can grow.
    • August 2017
      Source: CBS StatLine databank
      Uploaded by: Knoema
      Accessed On: 19 September, 2017
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      This dataset includes information on the size of the Dutch population, as well as births, deaths, international migration, persons who moved within or between municipalities, marriages, registered partnerships, marriage dissolutions and requests for asylum, per month, quarter and year. Since January 2010, a new production system has become operational to process municipal population data. As from 2010 onwards, with the introduction of the new system the following changes were implemented: - Provisional figures on live births by rank number and marital status of the mother will no longer be available. Definite figures will be added to the table on an annual basis; - Marriages will include registered partnerships; - Data on registered partnerships will be discontinued; - Married persons will include persons who have signed partnership contracts. An extra preceding marital status (married) has been added; - Marriage dissolutions will be presented including registered partnership dissolutions; - Divorced persons will be presented including legally terminated partnerships; - Data on persons who have moved house within the Netherlands will no longer be broken down by place in the household.
    • March 2011
      Source: CBS StatLine databank
      Uploaded by: Knoema
      Accessed On: 06 October, 2017
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      This Dataset shows basic figures on population and economic development for sixty countries. It concerns the following elementary indicators: - Gross Domestic Product; - Gross Domestic Product per capita; - Exports of goods and services; - Exports of high-tech goods; - Incoming Foreign Direct Investments; - Value added in services; - Population size. These indicators give an overall picture of the economic size and trade position of a country. The national economic development defines the basic climate within which companies develop their activities. A good economic development ensures a favorable investment climate in which enterprises can function well. Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands.  
    • October 2016
      Source: CBS StatLine databank
      Uploaded by: Knoema
      Accessed On: 19 October, 2017
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      This Dataset contains information on Dutch imports and exports of services broken down by various service types and countries (groups). From 2006 onwards more detailed information is available than the years before. In addition, the annual figures show more detailed information than the quarterly figures.
    • June 2017
      Source: CBS StatLine databank
      Uploaded by: Knoema
      Accessed On: 09 October, 2017
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      This Dataset contains information on Dutch imports, exports and net balance of services broken down by various service types and countries (groups) provided or purchased by companies and persons domiciled in the Netherlands. An entirely renewed classification of services which are used by all EU countries from 2014 on wards is based on the “Balance of Payments Manual 6” (BPM6).      
    • October 2017
      Source: CBS StatLine databank
      Uploaded by: Knoema
      Accessed On: 09 October, 2017
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      This Dataset presents an overview of the number of guests and their overnight stays in the Netherlands in all hotels, motels, boarding houses, apartments with hotel services, youth accommodation and bed & breakfasts with at least 5 sleeping places. The figures can be broken down by country of origin of the guests (country of residence), parts of the country, provinces, tourist parts of the country and 5 major cities.      
    • September 2006
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 24 September, 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.
    • December 2010
      Source: Friedrich Schneider
      Uploaded by: Knoema
      Accessed On: 13 July, 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.
    • January 2013
      Source: Maddison Project
      Uploaded by: Knoema
      Accessed On: 20 October, 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.
    • September 2017
      Source: National Bureau of Statistics, Nigeria
      Uploaded by: Knoema
      Accessed On: 28 September, 2017
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      Nigeria Trade Statistics by Region and Major Trading Partners, June 2017 (Q2) Source: PDF Download Report  Excel Download Tables Table 4 and Table 5 are considered from the above source excel file. * 2017 annual value is up to 2017 Jan to 2017 Jun
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 21 November, 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..
    • December 2016
      Source: The National Committee on North Korea (NCNK)
      Uploaded by: Knoema
      Accessed On: 20 September, 2017
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    • September 2017
      Source: Comprehensive Nuclear-Test-Ban Treaty
      Uploaded by: Polina Alova
      Accessed On: 27 September, 2017
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      A numeric breakdown of the number of atmospheric and underground nuclear tests conducted by each testing country for each year from 1945 to 2017.
    • August 2017
      Source: Retail-Index
      Uploaded by: Alexey Lopatin
      Accessed On: 14 August, 2017
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      Numbers of retailers (national head offices) in the online database "Retail-Index". The Retail-Index database contains data on the latest number of national and international retailers (chains) having minimal 5 stores or minimal €3 mln turnover in all major retail-sectors: food, fashion, consumer electronics, DIY & gardening and 14 other retail sectors. The total database contains over 8900 retail chains. Retail operations with several different formats and banners in one country are counted as one retailer. Some retailers are active in several sectors in which case there is some duplication in the numbers. The same goes for retailers active in several countries.
  • O
    • November 2016
      Source: Ocean Health Index
      Uploaded by: Knoema
      Accessed On: 03 January, 2017
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      Ocean Health Index, 2016
    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 27 July, 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) The OECD reference year has changed from 2005 to 2010
    • March 2014
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 13 March, 2014
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      In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2005) - and for comparative purposes in US $ current prices and constant prices (using exchange rate and PPPs). Expressed in millions and in indices. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • March 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 20 April, 2016
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    • June 2016
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 28 October, 2016
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      These tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2016 monitors agricultural policy developments in OECD member countries, and nine emerging economies: Brazil, China, Colombia, Indonesia, Kazakhstan, Russia, South Africa, Ukraine and Viet Nam. The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s agricultural policy monitoring and evaluation.
    • February 2012
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
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      This dataset covers the uses of wildlife resources and related pressures from human activities: fish production; catches of fish and other aquatic animals and products and the management of wildlife resources: biosphere reserves and wetlands of international importance; major protected areas.
    • July 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 09 August, 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.
    • December 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 19 May, 2017
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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.
    • May 2013
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 15 September, 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/.
    • October 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 06 October, 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.
    • August 2017
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 20 September, 2017
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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.
    • June 2012
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 04 August, 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.