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日本

  • 天皇:Akihito
  • 首相:Shinzō Abe
  • 首都:Tokyo
  • 言語:Japanese
  • 政府
  • 統計局
  • 人口、人:126,785,797 (2017)
  • 面積、平方キロメートル:364,560 (2017)
  • 1人当たりGDP、US $:38,428 (2017)
  • GDP、現在の10億米ドル:4,872.1 (2017)
  • GINI指数:32.1 (2008)
  • ビジネスのしやすさランク:34 (2017)
すべてのデータセット:  2 3 B C D E F G H I K L M O P Q R S T W
  • 2
    • 6月 2016
      ソース: Deloitte
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2016
      データセットを選択
      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.
  • 3
    • 10月 2016
      ソース: Philipps-University of Marburg, Empirical Institutional Economics
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2016
      データセットを選択
      The 3P Anti-trafficking Policy Index evaluates governmental anti-trafficking efforts in the three main policy dimensions (3Ps), based on the requirements prescribed by the United Nations Protocol to Prevent, Suppress and Punish Trafficking in Persons, especially Women and Children (2000).   The three main policy dimensions (3Ps) are:Prosecution of perpetrators of human traffickingPrevention of human traffickingProtection of the victims of human trafficking Each of the 3P areas is evaluated on a 5-point scale and each index is aggregated to the overall 3P Anti-trafficking Index as the  sum (score 3-15).Prosecution Index Score: 1 (no compliance) - 5 (full compliance)Prevention Index Score: 1 (no compliance) - 5 (full compliance)Protection Index Score: 1 (no compliance) - 5 (full compliance)3P Anti-trafficking Policy Index Score: 3 (no compliance for any of the three areas) - 15 (full compliance for all of the three areas) The 3P Anti-trafficking Policy Index is available for each country and each year and currently includes up to 189 countries for the preiod from 2000 to 2015.
  • B
    • 12月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2017
      データセットを選択
      Better Life Index aims to involve citizens in the debate on measuring the well-being of societies, and to empower them to become more informed and engaged in the policy-making process that shapes all our lives. Each of the 11 topics of the Index is currently based on one to three indicators. Within each topic, the indicators are averaged with equal weights. The indicators have been chosen on the basis of a number of statistical criteria such as relevance (face-validity, depth, policy relevance) and data quality (predictive validity, coverage, timeliness, cross-country comparability etc.) and in consultation with OECD member countries. These indicators are good measures of the concepts of well-being, in particular in the context of a country comparative exercise. Other indicators will gradually be added to each topic.
    • 4月 2017
      ソース: Bloom Consulting
      アップロード者: Knoema
      以下でアクセス: 24 5月, 2017
      データセットを選択
      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.
  • C
    • 12月 2016
      ソース: Concordia
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2017
      データセットを選択
      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.
    • 1月 2019
      ソース: Transparency International
      アップロード者: Pallavi S
      以下でアクセス: 01 2月, 2019
      データセットを選択
      Data cited at CORRUPTION PERCEPTIONS INDEX 2018 by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/cpi2018 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.
    • 6月 2018
      ソース: Reputation Institute
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2018
      データセットを選択
      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   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
    • 1月 2019
      ソース: Numbeo
      アップロード者: Knoema
      以下でアクセス: 15 2月, 2019
      データセットを選択
      Data cited at: Numbeo 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.  
  • D
    • 5月 2007
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2015
      データセットを選択
      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.
  • E
    • 9月 2018
      ソース: Fraser Institute
      アップロード者: Knoema
      以下でアクセス: 02 11月, 2018
      データセットを選択
      Data cited at: "Economic Freedom of the World: 2018 Annual Report"@Fraser Institute   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.
    • 1月 2018
      ソース: Edelman
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2018
      データセットを選択
      Edelman 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.
    • 12月 2015
      ソース: United Nations Development Programme
      アップロード者: Misha Gusev
      データセットを選択
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • 7月 2018
      ソース: InterNations
      アップロード者: Knoema
      以下でアクセス: 02 11月, 2018
      データセットを選択
      In 2018, Expat Insider, one of the world’s largest and most comprehensive surveys on life abroad, achieved a major milestone for its fifth anniversary: the number of respondents reached a new record high. In total, 18,135 expats from across the globe took part in the survey. They represent 178 nationalities and are living in 187 countries or territories, from over 1,600 participants in Germany to one each in Greenland and Equatorial Guinea, providing a unique insight into life abroad in 2018.
  • F
    • 5月 2018
      ソース: Fund for Peace
      アップロード者: Knoema
      以下でアクセス: 15 5月, 2018
      データセットを選択
      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.
  • G
    • 4月 2019
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 16 4月, 2019
      データセットを選択
      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.
    • 10月 2015
      ソース: HelpAge International
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2015
      データセットを選択
      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.
    • 2月 2019
      ソース: DHL
      アップロード者: Knoema
      以下でアクセス: 02 4月, 2019
      データセットを選択
      DHL released the fifth edition of the DHL Global Connectedness Index (GCI) – a detailed analysis of globalization, measured by international flows of trade, capital, information and people. The new GCI report represents the first comprehensive assessment of developments in globalization across 169 countries and territories since the Brexit referendum in the United Kingdom and the 2016 presidential election in the United States. In spite of growing anti-globalization tensions in many countries, connectedness reached an all-time high in 2017, as the flows of trade, capital, information and people across national borders all intensified significantly for the first time since 2007. Strong economic growth boosted international flows while key policy changes such as US tariff increases had not yet been implemented.
    • 7月 2017
      ソース: International Telecommunication Union
      アップロード者: Shakthi Krishnan
      以下でアクセス: 13 9月, 2017
      データセットを選択
        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.
    • 2月 2017
      ソース: Global Democracy Ranking
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2017
      データセットを選択
      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
    • 8月 2015
      ソース: Grant Thornton
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2015
      データセットを選択
      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.
    • 3月 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2017
      データセットを選択
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: Global Energy Architecture Performance Index Report 2017 Publication URL: https://www.weforum.org/reports/global-energy-architecture-performance-index-report-2017 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   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"
    • 12月 2018
      ソース: Global Entrepreneurship Monitor
      アップロード者: Knoema
      以下でアクセス: 05 3月, 2019
      データセットを選択
      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.
    • 11月 2017
      ソース: Global Entrepreneurship and Development Institute
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2018
      データセットを選択
      Global Entrepreneurship Index provides information about global entrepreneurship sub Index ranks and scoring of all countries.It also provides information about certain indicators like attitudes,abilities and aspirations with their ranks and scores
    • 4月 2019
      ソース: Global Entrepreneurship Monitor
      アップロード者: Knoema
      以下でアクセス: 04 4月, 2019
      データセットを選択
      Data cited at: GEM National Expert Survey 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.
    • 12月 2018
      ソース: World Economic Forum
      アップロード者: Shakthi Krishnan
      以下でアクセス: 03 1月, 2019
      データセットを選択
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic:  The Global Gender Gap Report 2018 Publication URL: https://www.weforum.org/reports/the-global-gender-gap-report-2018 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   Gender parity is fundamental to whether and how economies and societies thrive. Ensuring the full development and appropriate deployment of half of the world’s total talent pool has a vast bearing on the growth, competitiveness and future-readiness of economies and businesses worldwide. The Global Gender Gap Report benchmarks 149 countries on their progress towards gender parity across four thematic dimensions: Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment. In addition, this year’s edition studies skills gender gaps related to Artificial Intelligence (AI)
    • 9月 2018
      ソース: Dual Citizen LLC
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2018
      データセットを選択
      The performance index of the 2018 GGEI is defined by 20 underlying indicators, each contained within one of the four main dimensions of leadership & climate change, efficiency sectors, markets & investment and the environment.   For more detail on our approach to aggregating these diverse data sources to define the composite indicators in the GGEI and its four main dimensions, as well as our approach to data selection, weighting and other issues associated with creating an index, please visit the Methodology section.
    • 10月 2018
      ソース: International Food Policy Research Institute
      アップロード者: Knoema
      以下でアクセス: 29 10月, 2018
      データセットを選択
      Global Hunger Index, 2018   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 under-nutrition, with two indicators of child under-nutrition—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. GHI scores are calculated using a three-step process that draws on available data from various sources to capture the multidimensional nature of hunger: 1. Undernourishment: The share of the population that is undernourished (that is, whose caloric intake is insufficient). 2. Child wasting and stunting: The share of children under the age of five who are wasted (that is, who have low weight for their height, reflecting acute under-nutrition). 3.Child Stunting: The share of children under the age of five who are stunted (that is, who have low height for their age, reflecting chronic under-nutrition). 4. Child Mortality: The mortality rate of children under the age of five (in part, a reflection of the fatal mix of inadequate nutrition and unhealthy environments).   Note: Values for the years are taken as per below table.1Global Hunger Index Scores2Proportion of Undernourished in the Population (%)3Prevalence of Wasting in Children Under Five Years(%)4Prevalence of Stunting in Children Under Five Years (%)5Prevalence of underweight in children under five years (%)   Date for above indicators are taken as per below year ranges. 1   2   3   4   5   Date Range Date Range Date Range Date Range Date Range 2018 2013-2017 2018 2015-2017 2018 2013-2017 2018 2013-2017 2012 2009-2013 2017 2012-2016 2017 2014-2016 2017 2012-2016 2017 2012-2016 2011 2008-2012 2015 2010-2016 2015 2014-2016 2015 2012-2016 2015 2012-2016 2010 2005-2010 2014 2009-2013 2013 2014-2016 2013 2010-2014 2013 2010-2014 2009 2004-2009 2013 2008-2012 2012 2011-2013 2010 2008-2012 2010 2008-2012 2008 2003-2008 2012 2005-2010 2011 2010-2012 2008 2006-2010 2008 2006-2010 2007 2002-2007 2011 2004-2009 2010 2009-2011 2005 2003-2007 2005 2003-2007 2006 2001-2006 2010 2008-2012 2009 2005-2007 2000 1998-2002 2000 1998-2002 2005 2003-2007 2009 2002-2007 2008 2007-2009 1995 1993-1997 1995 1993-1997 2004 2000-2005 2008 2006-2010 2007 2003-2005 1992 1990-1994 1992 1990-1994 2003 1999-2003 2005 2003-2007 2006 2002-2004 1990 1988-1992 1990 1988-1992 2000 1998-2002 2001 1994-1998 2005 2004-2006         1997 1993-1998 2000 1998-2002 2004 2001-2003         1995 1993-1997 1996 1988-1992 2003 2000-2002         1990 1988-1992 1995 1993-1997 2000 1999-2001         1980 1977-1982 1992 1990-1994 1997 1995-1997             1990 1988-1992 1995 1994-1996                 1992 1991-1993                 1990 1990-1992                 1980 1979-1981               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
    • 7月 2016
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 13 1月, 2017
      データセットを選択
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Information Technology Report 2016 Publication URL: https://www.weforum.org/reports/the-global-information-technology-report-2016 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   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.
    • 7月 2018
      ソース: Global Innovation Index
      アップロード者: Knoema
      以下でアクセス: 02 8月, 2018
      データセットを選択
      The Global Innovation Index (GII) provides detailed metrics about the innovation performance of 126 countries which represent 90.8% of the world’s population and 96.3% of global GDP. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication.   The GII 2018 marks the 11th edition of the GII, and the beginning of its second decade providing data and insights gathered from tracking innovation across the globe. This year’s edition, is dedicated to the theme of Energizing the World with Innovation. It analyses the energy innovation landscape of the next decade and identifies possible breakthroughs in fields such as energy production, storage, distribution, and consumption. It also looks at how breakthrough innovation occurs at the grassroots level and describes how small-scale renewable systems are on the rise.
    • 12月 2018
      ソース: Knowledge4All
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      Data cited at: Knowledge4All,United Nations Development Programme & Mohammed Bin Rashid Al Maktoum Knowledge Foundation.   Note-Full Version can be checked here: https://knoema.com/WLDKALLGKI2018Dec/global-knowledge-index The GKI is a partnership initiative between the United Nations Development Programme (UNDP) and Mohammed Bin Rashid Al Maktoum Knowledge Foundation (MBRF), it was first announced during the Knowledge Summit in 2016. The Global Knowledge Index (GKI) is the index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The Global Knowledge Index (GKI) is the only index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The GKI is composed of six sectoral indices: 1) Pre - university education 2) Technical vocational education and training(TVET) 3) Higher education 4) Research, development and innovation(RDI) 5) Information and communications technology (ICT) 6) Economy in addition to a seventh supporting index on the General Enabling Environment. All values are normalized to a scale from 0 (worst) to 100 (best).
    • 12月 2018
      ソース: Knowledge4All
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      Data cited at: Knowledge4All,United Nations Development Programme & Mohammed Bin Rashid Al Maktoum Knowledge Foundation. The GKI is a partnership initiative between the United Nations Development Programme (UNDP) and Mohammed Bin Rashid Al Maktoum Knowledge Foundation (MBRF), it was first announced during the Knowledge Summit in 2016. The Global Knowledge Index (GKI) is the index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The Global Knowledge Index (GKI) is the only index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The GKI is composed of six sectoral indices: 1) Pre - university education 2) Technical vocational education and training(TVET) 3) Higher education 4) Research, development and innovation(RDI) 5) Information and communications technology (ICT) 6) Economy in addition to a seventh supporting index on the General Enabling Environment. All values are normalized to a scale from 0 (worst) to 100 (best).   The Pre-University Education sector plays a central role in building the knowledge capital that represents the first input in preparing young people to acquire and produce knowledge. Pre-university education equips youth with scientific knowledge, as well as creative skills and capacities, to access lifelong learning opportunities. This sector is therefore key, as it constitutes the first basis for other sectors to build upon. It is composed of two pillars: knowledge capital and educational enabling environment. The Technical Vocational Education and Training (TVET) sector represents the main connection between education and the labour market and provides educated young people with opportunities for professional integration. It contributes to the provision of high-skilled labour and the development of conducive working environments. It is composed of two pillars: formation and professional training and features of the labour market. The Higher Education sector is of high importance, as it is an active component in educating youth, developing their qualifications, and expanding their knowledge and skills, which results in the improvement of a country’s productivity and competitiveness in global markets. It is also considered among the most important factors that directly contribute to the advancement of scientific research and technological development. It is composed of two pillars: higher education inputs and higher education outputs and quality. Research, Development, and Innovation (RDI) contribute to increasing knowledge at the national and regional levels. RDI, which serves as a driver for economic growth and sustainable development in both developed and developing countries, is mainly based on the production of new or improved goods, services, production processes, and organizational models. RDI is closely linked to other sectors as it provides essential inputs to the entire system. It is composed of three pillars: research and development, innovation in production, and social innovation. Information and Communications Technology (ICT) plays an essential role in supporting the advancement of knowledge across all sectors. Advancements in knowledge-intensive production have become closely linked to the provision of advanced technology, especially as the Internet has increased the opportunities available to acquire knowledge. Therefore, it is essential for countries to employ indicators that quantify their levels of ICT development for the benefit of stakeholders in their societies. It is composed of two pillars: ICT inputs and ICT outputs. Information and Communications Technology (ICT) plays an essential role in supporting the advancement of knowledge across all sectors. Advancements in knowledge-intensive production have become closely linked to the provision of advanced technology, especially as the Internet has increased the opportunities available to acquire knowledge. Therefore, it is essential for countries to employ indicators that quantify their levels of ICT development for the benefit of stakeholders in their societies. It is composed of two pillars: ICT inputs and ICT outputs. The Knowledge Economy is the main driver of sustainable development, wealth creation, and job creation in various economic fields, across the industrial, agricultural, and service sectors. Unlike the traditional concept of economic resource analysis and availability, a knowledge economy is primarily based on providing economic resources, particularly human resources, with knowledge tools, including digital and technological knowledge assets, as well as innovative and creative skills. It is composed of three pillars: knowledge competitiveness, economic openness, and financing and value added. The General Enabling Environment was added to support the 6 sectoral indices, as these sectors do not operate in isolation from their surroundings, but rather in a space governed by a range of contextual factors – political, socioeconomic, health-related, and environmental. It is composed of three pillars: political and institutional, socio-economic, and health and environment.
    • 6月 2018
      ソース: Open Knowledge International
      アップロード者: Knoema
      以下でアクセス: 13 6月, 2018
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    • 1月 2019
      ソース: Milken Institute
      アップロード者: Knoema
      以下でアクセス: 11 2月, 2019
      データセットを選択
      he Global Opportunity Index answers a pressing need for information that's vital to a thriving global economy like what policies can governments pursue to attract foreign direct investment (FDI), expand their economies, and accelerate job creation, what do multinational companies, other investors, and development agencies need to know before making large-scale, long-term capital commitments.   Methodology:  The GOI considers economic and financial factors that influence investment activities as well as key business, legal and regulatory policies that governments can modify to support and often drive investments. Overall, the GOI tracks countries’ performance on 51 variables aggregated in five categories, each measuring an aspect of the country’s attractiveness for investors.   The assigned composite index value is the average score of the five categories (called component scores). Each variable is normalized from 0 to 10. Within each category, the normalized variables are given equal weight and aggregated, resulting in a normalized category score between 0, indicating the least favorable conditions for investment, and 10, signaling the most favorable. The index covers 133 countries. The index methodology is reviewed for each publication to reflect changes in data sources or other relevant adjustments.
    • 9月 2018
      ソース: Natixis
      アップロード者: Knoema
      以下でアクセス: 12 10月, 2018
      データセットを選択
      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.
    • 12月 2014
      ソース: World Wide Web Foundation
      アップロード者: Knoema
      以下でアクセス: 04 4月, 2016
      データセットを選択
      Data cited at: World Wide Web Foundation https://thewebindex.org/ Topic: Data, Web Index 2014 data Publication: https://thewebindex.org/data/?indicator=INDEX&country=ALL License: http://creativecommons.org/licenses/by/4.0/   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.
  • H
    • 8月 2018
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 20 12月, 2018
      データセットを選択
      The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
  • I
    • 11月 2018
      ソース: IMD World Competitiveness Center
      アップロード者: Knoema
      以下でアクセス: 06 12月, 2018
      データセットを選択
      The IMD World Talent Ranking is based on countries’ performance in three main categories — investment and development, appeal and readiness. The three categories assess how countries perform in a wide range of areas. These include education, apprenticeships, workplace training, language skills, cost of living, quality of life, remuneration and tax rates. 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.
    • 1月 2018
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 07 3月, 2019
      データセットを選択
      Data cited at: World Economic Forum The Inclusive Development Index (IDI) is an annual assessment of 103 countries’ economic performance that measures how countries perform on eleven dimensions of economic progress in addition to GDP. It has 3 pillars; growth and development; inclusion and; intergenerational equity – sustainable stewardship of natural and financial resources. The IDI is a project of the World Economic Forum’s System Initiative on the Future of Economic Progress, which aims to inform and enable sustained and inclusive economic progress through deepened public-private cooperation through thought leadership and analysis, strategic dialogue and concrete cooperation, including by accelerating social impact through corporate action.
    • 9月 2015
      ソース: Pearson
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2015
      データセットを選択
      The Global Index of Cognitive Skills and Educational Attainment compares the performance of 39 countries and one region (Hong Kong) on two categories of education: Cognitive Skills and Educational Attainment. The Index provides a snapshot of the relative performance of countries based on their education outputs.List of indicators   Main sourceMain year1. Cognitive Skills  1.1  Grade 8  1.1.1  Reading Literacy - PISAOECD - PISA report20091.1.2  Mathematics Literacy - PISA and TIMSSEIU based on IEA and OECD data 1.1.2.1  PISA - Mathematics LiteracyOECD - PISA report20091.1.2.2  TIMSS - Mathematics AchievementIEA - TIMSS and PIRLS International Study Center20071.1.3  Science Literacy - PISA and TIMSSEIU based on IEA and OECD data 1.1.3.1  PISA - Science LiteracyOECD - PISA report20091.1.3.2  TIMSS - Science  AchievementIEA - TIMSS and PIRLS International Study Center20071.2  Grade 4  1.2.1  PIRLS - Reading Literacy AchievementIEA - TIMSS and PIRLS International Study Center20061.2.2  TIMSS - Mathematics  AchievementIEA - TIMSS and PIRLS International Study Center20071.2.3  TIMSS - Science  AchievementIEA - TIMSS and PIRLS International Study Center20072. Educational Attainment  2.1  Literacy rate  2.1.1  Literacy rate (15 and over), %UNESCO Institute for Statistics (UIS)20102.2  Graduation rate  2.2.1  Graduation rate at upper secondary level OECD 20102.2.2  Graduation rate at tertiary level OECD 2010
    • 2月 2019
      ソース: Heritage Foundation
      アップロード者: Knoema
      以下でアクセス: 04 2月, 2019
      データセットを選択
      Data cited at: Heritage Foundation   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. Economic Freedom Scores: Range and level of freedom 80–100:- Free 70–79.9:- Mostly Free 60–69.9:- Moderately Free 50–59.9:- Mostly Unfree 0–49.9:- Repressed
    • 1月 2006
      ソース: American University
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2016
      データセットを選択
      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
    • 10月 2017
      ソース: U.S. Federal Bureau of Investigation
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2018
      データセットを選択
      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.
  • K
    • 1月 2012
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 26 8月, 2013
      データセットを選択
      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
    • 6月 2018
      ソース: Legatum Institute
      アップロード者: Knoema
      以下でアクセス: 11 12月, 2018
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    • 5月 2018
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 03 8月, 2018
      データセットを選択
      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).
  • M
    • 5月 2018
      ソース: globalEDGE
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2018
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      Global marketing has become more and more important over the years with the increasing trend of internationalization. Faced with too many choices, marketers have the challenge of determining which international markets to enter and the appropriate marketing strategies for those countries. The purpose of this study is to rank, with a U.S. focus, the market potential of the largest economies and to provide guidance to the U.S. companies that plan to expand their markets internationally. While the U.S. is not included in the rankings, the insights provided by the index are still applicable to companies located in other international markets. This indexing study is conducted by the Michigan State University — International Business Center to help companies compare prospect markets on several dimensions. Eight dimensions are chosen to represent the market potential of a country on a scale of 1 to 100. The dimensions are measured using various indicators and are weighted in determining their contribution to the overall Market Potential Index(MPI). Between years 1996 and 2014, the MPI has been calculated for 26 countries identified as "Emerging Markets" by The Economist magazine. However, in order to cover a wider range of markets, a decision has been made in 2014 to increase the number of countries according to the criteria explained below.
    • 12月 2018
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2018
      データセットを選択
      This Dataset contains Indicators related to IC Development Index and Tables from "Measuring the Information Society Report 2018, Volume 1" For Indicators for other ICT Development data please refer: https://knoema.com/ITUKIICT2019/global-ict-developments
    • 10月 2018
      ソース: Melbourne Mercer
      アップロード者: Knoema
      以下でアクセス: 25 10月, 2018
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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. 
    • 6月 2018
      ソース: Nestpick
      アップロード者: Knoema
      以下でアクセス: 01 10月, 2018
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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
  • O
    • 11月 2018
      ソース: Ocean Health Index
      アップロード者: Shakthi Krishnan
      以下でアクセス: 23 11月, 2018
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      Ocean Health Index
    • 6月 2018
      ソース: Open Data Research Network
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2018
      データセットを選択
      Produced by the World Wide Web Foundation as a collaborative work of the Open Data for Development (OD4D) network and with the support of the Omidyar Network, the Open Data Barometer (ODB) aims to uncover the true prevalence and impact of open data initiatives around the world. It analyses global trends, and provides comparative data on countries and regions using an in-depth methodology that combines contextual data, technical assessments and secondary indicators. Covering 115 jurisdictions in the fourth edition, the Barometer ranks governments on:Readinessfor open data initiatives.Implementationof open data programmes.Impactthat open data is having on business, politics and civil society. After three successful editions, the fourth marks another step towards becoming a global policymaking tool with a participatory and inclusive process and a strong regional focus. This year’s Barometer includes an assessment of government performance in fulfilling the Open Data Charter principles. The Barometer is a truly global and collaborative effort, with input from more than 100 researchers and government representatives. It takes over six months and more than 10,000 hours of research work to compile. During this process, we address more than 20,000 questions and respond to more than 5,000 comments and suggestions.  
    • 6月 2016
      ソース: Open Data Research Network
      アップロード者: Knoema
      以下でアクセス: 25 9月, 2018
      データセットを選択
      Peer-reviewed numerical scores assigned to each primary data variable collected for the Open Data Barometer.
    • 12月 2018
      ソース: Open Data Watch
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2019
      データセットを選択
      Data cited at: Open Data Watch https://opendatawatch.com/ Topic: Open Data Inventory (ODIN) data Publication: http://odin.opendatawatch.com/data/download License: https://creativecommons.org/licenses/by/4.0/   Score Type Options: Three sets of scores are available: raw, weighted, or standardized. Raw scores have values between 0 and 1 as recorded in the original assessment; subscores are simple totals. Weighted scores use a predefined weighting matrix; subscores are simple totals. Standardized scores are scaled from 0 to 100; subscores are weighted averages.
  • P
    • 12月 2018
      ソース: Passport Index
      アップロード者: Knoema
      以下でアクセス: 17 12月, 2018
      データセットを選択
      Passport Index is an interactive tool, which collects, displays and ranks the passports of the world. You can discover the world’s passports on a map, by country name, by Passport Power Rank and even by the color of their cover. Visa Free Score Passports accumulate points for each visa free country that their holders can visit without a visa, or they can obtain a visa on arrival. Passport Power Rank Passports are ranked based on their Visa Free Score. The higher the Visa Free Score, the better the Passport Power Rank. Methodology The country list is based on the 193 UN member countries and 6 territories (Macao, Kosovo, etc.) for a total of 199. Territories annexed to other countries such as Norfolk Island, French Polynesia, etc. are excluded. Data is based on research from publicly available sources, as well as information shared by government agencies.
    • 12月 2018
      ソース: Political Terror Scale
      アップロード者: Knoema
      以下でアクセス: 30 1月, 2019
      データセットを選択
      citation: Gib­ney, Mark, Linda Cor­nett, Reed Wood, Peter Hasch­ke, and Daniel Arnon. 2016. The Polit­ic­al Ter­ror Scale 1976-2015. Date Re­trieved, from the Polit­ic­al Ter­ror Scale website: ht­tp://www.polit­ic­al­ter­rorscale.org.   Political Terror Scale Levels 1 - Coun­tries un­der a se­cure rule of law, people are not im­prisoned for their views, and tor­ture is rare or ex­cep­tion­al. Polit­ic­al murders are ex­tremely rare. 2 - There is a lim­ited amount of im­pris­on­ment for non­vi­ol­ent polit­ic­al activ­ity. However, few per­sons are af­fected, tor­ture and beat­ings are ex­cep­tion­al. Polit­ic­al murder is rare. 3 - There is ex­tens­ive polit­ic­al im­pris­on­ment, or a re­cent his­tory of such im­pris­on­ment. Ex­e­cu­tion or oth­er polit­ic­al murders and bru­tal­ity may be com­mon. Un­lim­ited de­ten­tion, with or without a tri­al, for polit­ic­al views is ac­cep­ted. 4 - Civil and polit­ic­al rights vi­ol­a­tions have ex­pan­ded to large num­bers of the pop­u­la­tion. Murders, dis­ap­pear­ances, and tor­ture are a com­mon part of life. In spite of its gen­er­al­ity, on this level ter­ror af­fects those who in­terest them­selves in polit­ics or ideas. 5 - Ter­ror has ex­pan­ded to the whole pop­u­la­tion. The lead­ers of these so­ci­et­ies place no lim­its on the means or thor­ough­ness with which they pur­sue per­son­al or ideo­lo­gic­al goals.
  • Q
    • 1月 2019
      ソース: Quality of Government Institute
      アップロード者: Knoema
      以下でアクセス: 01 2月, 2019
      データセットを選択
      Data cited at: The Quality of Government Institute; Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon & Richard Svensson. 2018. The Quality of Government Standard Dataset, version Jan18. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se doi:10.18157/QoGStdJan18   In the QoG Standard TS dataset, data from 1946 to 2018 is included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on).    
  • R
    • 6月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 28 10月, 2016
      データセットを選択
      The Regional well-being dataset presents eleven dimensions central for well-being at local level and for 395 OECD regions, covering material conditions (income, jobs and housing), quality of life (education, health, environment, safety and access to services) and subjective well-being (social network support and life satisfaction). The set of indicators selected to measure these dimensions is a combination of people's individual attributes and their local conditions, and in most cases, are available over two different years (2000 and 2014). Regions can be easily visualised and compared to other regions through the interactive website [www.oecdregionalwellbeing.org]. The dataset, the website and the publications "Regions at a Glance" and "How’s life in your region?" are outputs designed from the framework for regional and local well-being. The Regional income distribution dataset presents comparable data on sub-national differences in income inequality and poverty for OECD countries. The data by region provide information on income distribution within regions (Gini coefficients and income quintiles), and relative income poverty (with poverty thresholds set in respect of the national population) for 2013. These new data complement international assessments of differences across regions in living conditions by documenting how household income is distributed within regions and how many people are poor relatively to the typical citizen of their country. For analytical purposes, the OECD classifies regions as the first administrative tier of sub-national government, so called Territorial Level 2 or TL2 in the OECD classification. This classification is used by National Statistical Offices to collect information and it represents in many countries the framework for implementing regional policies. Well-being indicators are shown for the 395 TL2 OECD regions, equivalent of the NUTS2 for European countries, with the exception for Estonian where well-being data are presented at a smaller (TL3) level and for the Regional Income dataset, where Greece, Hungary and Poland data are presented at a more aggregated (NUTS1) level.
    • 2月 2019
      ソース: Global Finance Magazine
      アップロード者: Knoema
      以下でアクセス: 02 4月, 2019
      データセットを選択
  • S
    • 6月 2014
      ソース: Scimago Lab
      アップロード者: Knoema
      以下でアクセス: 04 6月, 2014
      データセットを選択
      The SIR reports are not league tables. The ranking parameter –the scientific output of institutions- should be understood as a default rank, not our ranking proposal. The only goal of this report is to characterize research outcomes of organizations so as to provide useful scientometric information to institutions, policymakers and research manager so they are able to analyze, evaluate and improve their research results. If someone uses this report to rank institutions or to build a league table with any purpose, he/she will do it under his/her own responsibility. Output - Total number of documents published in scholarly journals indexed in Scopus (Romo-Fernández, et al., 2011). International Collaboration - Institution's output ratio produced in collaboration with foreign institutions. The values are computed by analyzing an institution's output whose affiliations include more than one country address (Guerrero-Bote, Olmeda-Gómez and Moya-Anegón, 2013; Lancho-Barrantes, Guerrero-Bote and Moya-Anegón, 2013; Lancho-Barrantes, et al., 2013; Chinchilla-Rodríguez, et al., 2012) Normalized Impact - Normalized Impact is computed using the methodology established by the Karolinska Intitutet in Sweden where it is named "Item oriented field normalized citation score average". The normalization of the citation values is done on an individual article level. The values (in %) show the relationship between an institution's average scientific impact and the world average set to a score of 1, --i.e. a NI score of 0.8 means the institution is cited 20% below world average and 1.3 means the institution is cited 30% above average (Rehn and Kronman, 2008; González-Pereira, Guerrero-Bote and Moya- Anegón, 2011). High Quality Publications - Ratio of publications that an institution publishes in the most influential scholarly journals of the world, those ranked in the first quartile (25%) in their categories as ordered by SCImago Journal Rank (SJRII) indicator (Miguel, Chinchilla-Rodríguez and Moya-Anegón, 2011). Specialization Index - The Specialization Index indicates the extent of thematic concentration /dispersion of an institution’s scientific output. Values range between 0 and 1, indicating generalist vs. specialized institutions respectively. This indicator is computed according to the Gini Index used in Economy (Moed, et. al., 2011; López-Illescas, Moya-Anegón and Moed, 2011; Arencibia-Jorge et al., 2012). In this indicator, when the value is 0 it means that the data are not sufficient to calculate. Excellence Rate - Excellence rate indicates the amount (in %) of an institution’s scientific output that is included into the set of the 10% of the most cited papers in their respective scientific fields. It is a measure of high quality output of research institutions (SCImago Lab, 2011; Bornmann, Moya-Anegón and Leydesdorff, 2012; Guerrero-Bote and Moya-Anegón, 2012). Scientific Leadership - Leadership indicates an institution’s “output as main contributor”, that is the number of papers in which the corresponding author belongs to the institution (Moya-Anegón, 2012; Moya-Anegón et. al, 2013; Moya-Anegón, et al., forthcoming) Excellence with Leadership - Excellence with Leadership indicates the amount of documents in the Excellence rate in which the institution is the main contributor (Moya-Anegón, et al., 2013).
    • 8月 2018
      ソース: Social Progress Imperative
      アップロード者: Knoema
      以下でアクセス: 21 11月, 2018
      データセットを選択
      The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2018 Social Progress Index. Therefore, using the 2018 Social Progress Index framework and methodology, we provide comparable historical data for four additional years of the Social Progress Index, from 2014 to 2017. To read more about our methodology, please see the 2018 Methodology here https://www.socialprogress.org/index/methodology
    • 10月 2018
      ソース: Sustainable Governance Indicators
      アップロード者: Knoema
      以下でアクセス: 05 11月, 2018
      データセットを選択
      The SGI is a platform built on a cross-national survey of governance that identifies reform needs in 41 EU and OECD countries. The SGI brings together a broad network of experts and practitioners aiming to understand what works best in sustainable governance. Advocating the exchange of best practices, we offer full access to our data set and enable the comparisons that generate innovation in governance.
  • T
    • 11月 2015
      ソース: Save the Children Federation
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2015
      データセットを選択
    • 10月 2018
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 04 12月, 2018
      データセットを選択
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Competitiveness Report Publication URL: http://www3.weforum.org/docs/GCR2018/GCI_4.0_2018_Dataset.xlsx License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • 3月 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2017
      データセットを選択
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Enabling Trade Report 2016 Publication URL: http://reports.weforum.org/global-enabling-trade-report-2016/ License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   The Enabling Trade Index (ETI) was developed within the context of the World Economic Forum’s Transportation Industry Partnership program, and was first published in The Global Enabling Trade Report 2008. The ETI measures the extent to which individual economies have developed institutions, policies, and services facilitating the free flow of goods over borders and to destination. The structure of the Index reflects the main enablers of trade, breaking them into four overall issue areas, captured in the subindexes: 1) The market access subindex measures the extent to which the policy framework of the country welcomes foreign goods into the economy and enables access to foreign markets for its exporters. 2) The border administration subindex assesses the extent to which the administration at the border facilitates the entry and exit of goods. 3) Infrastructure subindex takes into account whether the country has in place the transport and communications infrastructure necessary to facilitate the movement of goods within the country and across the border. 4) The business environment subindex looks at the quality of governance as well as at the overarching regulatory and security environment impacting the business of importers and exporters active in the country. Each of these four subindexes is composed in turn of a number of pillars of enabling trade, of which there are seven in all. These are: 1) Domestic market access; 2) Foreign market access; 3) Efficiency and transparency of border administration; 4) Availability and quality of transport infrastructure; 5) Availability and quality of transport services; 6) Availability and use of ICTs; 7) Operating environment. Each indicator and sub-indicator is given a score on a scale of 1 to 7 that corresponds to the worst and best possible outcome, respectively.
    • 9月 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2017
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      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Human Capital Report 2017 Publication URL: https://www.weforum.org/reports/the-global-human-capital-report-2017 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • 2月 2015
      ソース: University of Keele
      アップロード者: Knoema
      以下でアクセス: 24 4月, 2015
      データセットを選択
      This water poverty index is a first pass at trying to establish an international measure comparing performance in the water sector across countries in a holistic way that brings in the diverse aspects and issues that are relevant. It does seem to give some sensible results but it does not pretend to be definitive nor offer a totally accurate measure of the situation.
    • 7月 2013
      ソース: Ipsos
      アップロード者: Knoema
      以下でアクセス: 16 9月, 2013
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    • 3月 2017
      ソース: Bloomberg
      アップロード者: Knoema
      以下でアクセス: 27 11月, 2017
      データセットを選択
      To identify the healthiest countries in the world, Bloomberg Rankings created health scores and health-risk scores for countries with populations of at least 1 million. The risk score was subtracted from the health score to determine the country''s rank. Five-year averages, when available, were used to mitigate some of the short-term year-over-year swings.
    • 12月 2013
      ソース: Strategy&amp;
      アップロード者: Knoema
      以下でアクセス: 24 12月, 2013
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    • 4月 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 21 4月, 2017
      データセットを選択
      The rise of travel and tourism has shown significant resilience globally. Despite slow economic growth in advanced economies and geopolitical tensions in some regions, the T&T sector still accounts for a large part of the global economy (estimated to be approximately 9% of global GDP or US$ 7 trillion) and employment,while the number of international travellers continues to increase. According to the World Travel & Tourism Council (WTTC), the T&T sector is forecast to continue growing at 4% annually—faster than financial services,transport and manufacturing
    • 6月 2018
      ソース: Pew Research Center
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2018
      データセットを選択
      Levels of restrictions on religion Government Restrictions Index Very high- 6.6 to 10.0 High- 4.5 to 6.5 Moderate - 2.4 to 4.4 Low- 0.0 to 2.3 Social Hostilities Index Very high- 7.2 to 10.0 High- 3.6 to 7.1 Moderate- 1.5 to 3.5 Low- 0.0 to 1.4
  • W
    • 8月 2018
      ソース: Scimago Lab
      アップロード者: Knoema
      以下でアクセス: 16 8月, 2018
      データセットを選択
      SCImago Journal Rank: It expresses the average number of weighted citations received in the selected year by the documents published in the selected journal in the three previous years, --i.e. weighted citations received in year X to documents published in the journal in years X-1, X-2 and X-3. H Index: The h index expresses the journal's number of articles (h) that have received at least h citations. It quantifies both journal scientific productivity and scientific impact and it is also applicable to scientists, countries, etc. Total Documents: Output of the selected period. All types of documents are considered, including citable and non citable documents. Total Cites (3years): Number of citations received in the seleted year by a journal to the documents published in the three previous years, --i.e. citations received in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Self Cites: Number of journal's self-citations in the selected year to its own documents published in the three previous years, --i.e. self-citations in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Cited Documents: Number of documents cited at least once in the three previous years, --i.e. years X-1, X-2 and X-3 Cites per Document (2 years): Average citations per document in a 2 year period. It is computed considering the number of citations received by a journal in the current year to the documents published in the two previous years, --i.e. citations received in year X to documents published in years X-1 and X-2.
    • 10月 2018
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 31 10月, 2018
      データセットを選択
      Note: In recent years, Doing Business introduced improvements to all of its indicator sets. In Doing Business 2015, Resolving Insolvency introduced new measures of quality, while Getting Credit and Protecting Minority Investors broadened their existing measures. In Doing Business 2016, Dealing with Construction Permits, Getting Electricity, Registering Property and Enforcing Contracts also introduced new measures of quality, and Trading across Borders introduced a new case scenario to increase the economic relevance. In Doing Business 2017, Paying Taxes introduced new measures of post-filing processes and Starting a Business, Registering Property and Enforcing Contracts added gender components. For the details on the Doing Business methodology changes, please view the Ease of Doing Business metrics. Each methodology expansion was recalculated for one year to provide comparable indicator values and scores for the previous year. Rankings are calculated for Doing Business 2019 only. Year-to-year changes in the number of economies, number of indicators and methodology affect the comparability of prior years.
    • 5月 2018
      ソース: IMD World Competitiveness Center
      アップロード者: Knoema
      以下でアクセス: 01 6月, 2018
      データセットを選択
      The IMD World Competitiveness Yearbook analyzes and ranks the ability of a country to facilitate an environment in which enterprises can generate sustainable value.
    • 2月 2019
      ソース: World Energy Council
      アップロード者: Knoema
      以下でアクセス: 13 2月, 2019
      データセットを選択
      The World Energy Council’s Energy Trilemma Index tool, produced in partnership with Oliver Wyman, ranks countries on their ability to provide sustainable energy through 3 dimensions: Energy security, Energy equity (accessibility and affordability), Environmental sustainability. The ranking measures overall performance in achieving a sustainable mix of policies and the balance score highlights how well a country manages the trade-offs of the Trilemma with "A" being the best.
    • 10月 2018
      ソース: Charities Aid Foundation
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2018
      データセットを選択
      Data cited at: Charities Aid Foundation CAF World Giving Index 2018 : This ninth edition of the CAF World Giving Index presents giving data from across the globe over a five year period (2013-2017). The CAF World Giving Index 2018 includes data from 146 countries that was collected throughout 2017. A full explanation of the methodology used is included in the appendices. CAF World Giving Index ranking and scores: The method used to calculate CAF World Giving Index scores remains identical to previous years. In order to establish a rounded measure of giving behavior across the world, the CAF World Giving Index relies on a simple averaging of the responses from the three key questions asked in each country. Each country is given a percentage score and countries are ranked on the basis of these scores.
    • 3月 2019
      ソース: Sustainable Development Solutions Network
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      Full version of the Index is available at: https://knoema.com/SDSNWHP2019/world-happiness-index-2019-full-version The World Happiness Report is a landmark survey of the state of global happiness that ranks 156 countries by how happy their citizens perceive themselves to be. In 2019,  World Happiness Report focuses on happiness and the community: how happiness has evolved over the past dozen years, with a focus on the technologies, social norms, conflicts and government policies that have driven those changes.  
    • 3月 2019
      ソース: Sustainable Development Solutions Network
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      Note: https://knoema.com/SDSNWHP2016/world-happiness-index-2019 The World Happiness Report is a landmark survey of the state of global happiness that ranks 156 countries by how happy their citizens perceive themselves to be. In 2019, World Happiness Report focuses on happiness and the community: how happiness has evolved over the past dozen years, with a focus on the technologies, social norms, conflicts and government policies that have driven those changes.
    • 4月 2014
      ソース: The Earth Institute, Columbia University
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2014
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      The World Happiness Report 2013 is a study conducted by Columbia University's Earth Institute and published in September 2013 by the Sustainable Development Solutions Network (SDSN). It reveals trends in the data judging just how happy countries really are on a scale running from 0 to 10. The report uses data from people in over 150 countries, surveyed by Gallup over the period 2010-12. Six key variables explain three-quarters of the variation in annual national average scores over time and among countries. These six factors include: real GDP per capita, healthy life expectancy, having someone to count on, perceived freedom to make life choices, freedom from corruption, and generosity. Note: datapoints for 2012 and 2007 refer to national averages in 2010-12 and 2005-07 correspondingly; changes from 2005-07 to 2010-12 are presented for the 130 countries with data in both periods; positive affect in 2005-07 does not include happiness (yesterday) since happiness data were not collected in the period. Reference: World Happiness Report 2013, Appendix material for Chapter 2 "World Happiness:  Trends, Explanations and Distribution", John F. Helliwell & Shun Wang.
    • 5月 2018
      ソース: Reporters Without Borders
      アップロード者: Knoema
      以下でアクセス: 18 5月, 2018
      データセットを選択
      The press freedom index that Reporters Without Borders publishes every year measures the level of freedom of information in nearly 180 countries. It reflects the degree of freedom that journalists, news organizations and netizens enjoy in each country, and the efforts made by the authorities to respect and ensure respect for this freedom. It is based partly on a questionnaire that is sent to our partner organizations (18 freedom of expression NGOs located in all five continents), to our network of 150 correspondents, and to journalists, researchers, jurists and human rights activists. The 179 countries ranked in this year’s index are those for which Reporters Without Borders received completed questionnaires from various sources. Some countries were not included because of a lack of reliable, confirmed data. A score and a position are assigned to each country in the final ranking. They are complementary indicators that together assess the state of press freedom. In order to make the index more informative and make it easier to compare different years, scores will henceforth range from 0 to 100, with 0 being the best possible score and 100 the worst. The index reflects the situation during a specific period. This year’s index is based solely on events between the start of December 2012 and the end of November 2013. It does not look at human rights violations in general, just violations of freedom of information. The index should in no way be taken as an indication of the quality of the media in the countries concerned. The range of score to access the press freedom.  From 0 to 15 points: Good From 15.01 to 25 points: Fairly good From 25.01 to 35 points: Problematic From 35.01 to 55 points: Bad From 55.01 to 100 points: Very bad  
    • 4月 2019
      ソース: Economic Policy Uncertainty
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2019
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      Data cited at: World Uncertainty Index (WUI), developed by Hites Ahir (International Monetary Fund), Nicholas Bloom (Stanford University) and Davide Furceri (International Monetary Fund).