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  • 大統領:John Mahama
  • 副大統領:Jane Naana Opoku-Agyemang
  • 首都:Accra
  • 言語:Asante 16%, Ewe 14%, Fante 11.6%, Boron (Brong) 4.9%, Dagomba 4.4%, Dangme 4.2%, Dagarte (Dagaba) 3.9%, Kokomba 3.5%, Akyem 3.2%, Ga 3.1%, other 31.2% note: English is the official language (2010 est.)
  • 政府
  • 統計局
  • 人口、人:34,746,370 (2025)
  • 面積、平方キロメートル:227,533
  • 1人当たりGDP、US $:2,406 (2024)
  • GDP、現在の10億米ドル:82.8 (2024)
  • GINI指数:43.5 (2016)
  • ビジネスのしやすさランク:118
すべてのデータセット: 3 A B C D E F G H I K L M N O P Q R S T U W
  • 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.
  • A
    • 2月 2024
      ソース: African Development Bank Group
      アップロード者: Knoema
      以下でアクセス: 19 2月, 2024
      データセットを選択
      This dataset contains data for the African countries and aggregate countries such as crude oil producers ; Sub-Saharan Africa. Data is organized under sixteen socio-economic chapters such as prices, energy, agriculture, social and AFDB aggregates which covers country scores in regional integration, social protection among others.
    • 7月 2025
      ソース: World Bank
      アップロード者: Alex Kulikov
      以下でアクセス: 10 8月, 2025
      データセットを選択
      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
    • 1月 2025
      ソース: The Africa Information Highway
      アップロード者: Knoema
      以下でアクセス: 16 5月, 2025
      データセットを選択
      Data cited at: The African Development Bank: The Africa Infrastructure Development Index (AIDI): https://infrastructureafrica.opendataforafrica.org/pbuerhd https://dataportal.opendataforafrica.org/AIDI The Africa Infrastructure Development Index (AIDI) is produced by the African Development Bank. The AIDI serves a number of key objectives, principally: (i) to monitor and evaluate the status and progress of infrastructure development across the continent; (ii) to assist in resource allocation within the framework of ADF replenishments; and (iii) to contribute to policy dialogue within the Bank and between the Bank, RMCs and other development organizations.
    • 11月 2020
      ソース: African Child Policy Forum
      アップロード者: Knoema
      以下でアクセス: 07 1月, 2021
      データセットを選択
      Africa Report on Child Wellbeing - Government expenditure
    • 10月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 28 10月, 2024
      データセットを選択
      The global growth is projected at 3.6 percent in 2022 and 2023—0.8 and 0.2 percentage points lower than in the January forecast, respectively. The downgrade largely reflects the war's direct impacts on Russia and Ukraine and global spillovers. North Africa, and sub-Saharan Africa are most affected. The food and fuel price increases will hurt lower-income households globally
    • 3月 2020
      ソース: British Geological Survey
      アップロード者: Knoema
      以下でアクセス: 20 3月, 2020
      データセットを選択
    • 10月 2024
      ソース: Mo Ibrahim Foundation
      アップロード者: Knoema
      以下でアクセス: 29 10月, 2024
      データセットを選択
    • 4月 2018
      ソース: PricewaterhouseCoopers
      アップロード者: Knoema
      以下でアクセス: 01 6月, 2020
      データセットを選択
      Rotterdam International  Benchmark:  Hub Attractiveness Score:  421 Port Performance Rating: 129
    • 8月 2024
      ソース: Africa Energy Portal
      アップロード者: Akshata Biradarpatil Venkappa B Patil
      以下でアクセス: 22 8月, 2024
      データセットを選択
    • 5月 2022
      ソース: African Tax administration Forum
      アップロード者: Shylesh Naik
      以下でアクセス: 25 8月, 2022
      データセットを選択
      Data cited at: ATAF Databank, the African Tax Administration Forum
    • 10月 2010
      ソース: World Bank
      アップロード者: Alex Kulikov
      以下でアクセス: 01 12月, 2014
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Africa's Infrastructure: Airports Publication: https://datacatalog.worldbank.org/dataset/africas-infrastructure-airports License: http://creativecommons.org/licenses/by/4.0/   The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation.
    • 10月 2010
      ソース: World Bank
      アップロード者: Alex Kulikov
      以下でアクセス: 01 12月, 2014
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Africa's Infrastructure: Ports Publication: https://datacatalog.worldbank.org/dataset/africas-infrastructure-ports License: http://creativecommons.org/licenses/by/4.0/   The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation. The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.
    • 3月 2016
      ソース: The Africa Infrastructure Knowledge Program
      アップロード者: Knoema
      以下でアクセス: 24 11月, 2020
      データセットを選択
      Data cited at: The African Development Bank: Rail Database: http://infrastructureafrica.opendataforafrica.org/wtkpuqe/rail-database-2014
    • 10月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 07 10月, 2015
      データセットを選択
      Africa's Power Infrastructure: Investment, Integration, Efficiency by Anton Eberhard, Orvika Rosnes, Maria Shkaratan, Haakon Vennemo and Published by the World Bank.
    • 3月 2023
      ソース: Ghana Statistical Service
      アップロード者: Alex Kulikov
      以下でアクセス: 07 4月, 2023
      データセットを選択
    • 11月 2020
      ソース: Health Effects Institute
      アップロード者: Alex Kulikov
      以下でアクセス: 17 12月, 2020
      データセットを選択
  • B
    • 8月 2025
      ソース: Bertelsmann Stiftung
      アップロード者: Knoema
      以下でアクセス: 15 8月, 2025
      データセットを選択
      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.
  • C
    • 8月 2025
      ソース: National Bureau of Statistics, Nigeria
      アップロード者: Knoema
      以下でアクセス: 25 8月, 2025
      データセットを選択
    • 3月 2022
      ソース: The Africa Information Highway
      アップロード者: Knoema
      以下でアクセス: 11 7月, 2022
      データセットを選択
      Data cited at: https://dataportal.opendataforafrica.org/rtufdnc/social This Dataset describes the list of common indicators from census datasets of African countries.
    • 8月 2025
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 29 8月, 2025
      データセットを選択
      Data cited at: Consumer price indexes, The International Monetary Fund 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.
    • 8月 2025
      ソース: Ghana Statistical Service
      アップロード者: Knoema
      以下でアクセス: 29 8月, 2025
      データセットを選択
    • 8月 2025
      ソース: World Bank
      アップロード者: Alex Kulikov
      以下でアクセス: 03 8月, 2025
      データセットを選択
      The World Bank's Country Policy and Institutional Assessment is done annually for all its borrowing countries. It has evolved into a set of criteria, which are grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The number of criteria, currently sixteen, reflect a balance between ensuring that all key factors that foster pro-poor growth and poverty alleviation are captured, without overly burdening the evaluation process. Ratings for each of the criteria reflect a variety of indicators, observations, and judgments. They focus on the quality of each country's current policies and institutions - which are the main determinant of present aid effectiveness prospects. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IDA Resource Allocation Index (IRAI)
    • 3月 2022
      ソース: The Country Policy and Institutional Assessment, African Development Bank
      アップロード者: Alex Kulikov
      以下でアクセス: 22 3月, 2022
      データセットを選択
      Data cited at:  The African Development Bank: Dataset name: Country Policy and Institutional Assessment (CPIA) - https://cpia.afdb.org/?page=data
    • 7月 2025
      ソース: Numbeo
      アップロード者: Alex Kulikov
      以下でアクセス: 15 7月, 2025
      データセットを選択
      Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering the latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of the 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 the opposite of crime index. If the city has a high safety index, it is considered very safe.
    • 12月 2020
      ソース: International Lesbian, Gay, Bisexual, Trans and Intersex Association
      アップロード者: Knoema
      以下でアクセス: 07 1月, 2021
      データセットを選択
      Data cited at: International Lesbian, Gay, Trans and Intersex Association-ILGA World 
  • D
    • 3月 2025
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 3月, 2025
      データセットを選択
      Days not worked as a result of strikes and lockouts represent the total number of working days not worked as a result of strikes and lockouts in progress during the year. It is measured in terms of the sum of the actual working days during which work would normally have been carried out by each worker involved had there been no stoppage. Data disaggregated by economic activity are provided according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Data may have been regrouped from national classifications, which may not be strictly compatible with ISIC. For more information, refer to the Industrial Relations data (IRdata) database description.
    • 2月 2021
      ソース: National Institute of Statistics, Cameroon
      アップロード者: Knoema
      以下でアクセス: 02 3月, 2021
      データセットを選択
      Data cited at: https://cameroon.opendataforafrica.org/vszafdc Demographic Statistics of African countries  
  • E
  • F
    • 5月 2022
      ソース: Tax Justice Network
      アップロード者: Knoema
      以下でアクセス: 31 5月, 2022
      データセットを選択
      Data cited at: tax justice network - https://fsi.taxjustice.net/en/introduction/fsi-results;  License term - https://fsi.taxjustice.net/en/introduction/copyright-license     Jurisdiction Note for Year 2020: Footnote 1: The territories marked in dark color are Overseas Territories (OTs) and Crown Dependencies (CDs) where the Queen is head of state; powers to appoint key government officials rest with the British Crown; laws must be approved in London; and the UK government holds various other powers (see here for more details: www.financialsecrecyindex.com/PDF/UnitedKingdom.pdf). Territories marked in light color are British Commonwealth territories which are not OTs or CDs but whose final court of appeal is the Judicial Committee of the Privy Council in London (see here for more details: http://www.taxjustice.net/cms/upload/pdf/Privy_Council_and_Secrecy_Scores.pdf). Footnote 6: For jurisdictions marked with 2, we provide special narrative reports exploring the history and politics of their offshore sectors. You can read and download these reports by clicking on the country name.
    • 3月 2025
      ソース: Department for Promotion of Industry and Internal Trade, India
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2025
      データセットを選択
      Foreign Direct Investment, Sector Wise in India
    • 1月 2025
      ソース: National Institute of Statistics of Rwanda
      アップロード者: Alex Kulikov
      以下でアクセス: 19 3月, 2025
      データセットを選択
    • 4月 2025
      ソース: National Institute of Statistics and Economic Analysis, Benin
      アップロード者: Knoema
      以下でアクセス: 07 5月, 2025
      データセットを選択
      Note: " Degree of openness (in%) value for 2019 has been modified from 13 to 0.13 as it looks printing mistake at the source. There is no evidence to shoot up in 2019.
    • 8月 2025
      ソース: Statistics Botswana
      アップロード者: Alex Kulikov
      以下でアクセス: 28 8月, 2025
      データセットを選択
    • 8月 2025
      ソース: National Statistics Institute, Cabo Verde
      アップロード者: Alex Kulikov
      以下でアクセス: 07 8月, 2025
      データセットを選択
    • 11月 2024
      ソース: National Institute of Statistics of Djibouti
      アップロード者: Knoema
      以下でアクセス: 04 3月, 2025
      データセットを選択
      Foreign Trade of Djibouti
    • 1月 2025
      ソース: National Bank of Ethiopia
      アップロード者: Alex Kulikov
      以下でアクセス: 13 2月, 2025
      データセットを選択
      Direction of Trade of Ethiopia. Note: Date 2018/19 took as 2019 while considering quarterly dates. 
    • 6月 2025
      ソース: Gambia Bureau of Statistics
      アップロード者: Knoema
      以下でアクセス: 01 7月, 2025
      データセットを選択
      International Merchandise Trade Statistics
    • 1月 2025
      ソース: Ministry of Commerce and Industry, India
      アップロード者: Alex Kulikov
      以下でアクセス: 05 1月, 2025
      データセットを選択
      Note: For latest Year, 2022 value is April to October.
    • 6月 2025
      ソース: Lesotho Bureau of Statistics
      アップロード者: Jonathan Kilach
      以下でアクセス: 03 7月, 2025
      データセットを選択
      Foreign Trade Statistics of Lesotho
    • 6月 2025
      ソース: Central Bank of Libya
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2025
      データセットを選択
    • 7月 2025
      ソース: National Institute of Statistics, Mali
      アップロード者: Alex Kulikov
      以下でアクセス: 11 7月, 2025
      データセットを選択
    • 8月 2025
      ソース: Office of National Statistics, Mauritania
      アップロード者: Alex Kulikov
      以下でアクセス: 20 8月, 2025
      データセットを選択
         
    • 8月 2025
      ソース: Namibia Statistics Agency
      アップロード者: Knoema
      以下でアクセス: 26 8月, 2025
      データセットを選択
      Foreign Trade Statistics of Namibia
    • 7月 2025
      ソース: Uganda Bureau of Statistics
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2025
      データセットを選択
    • 8月 2025
      ソース: Fund for Peace
      アップロード者: Knoema
      以下でアクセス: 05 8月, 2025
      データセットを選択
      Data cited at: Fragile States Index - https://fragilestatesindex.org/ 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.
    • 8月 2025
      ソース: Freedom House
      アップロード者: Alex Kulikov
      以下でアクセス: 21 8月, 2025
      データセットを選択
      Freedom Status obtained by Combined Average of the Political Rights and Civil Liberties Ratings (Freedom Rating) Range 1-7; 1-2.5 Free; 3-5: Partly Free and 5.5-7: Not Free The score for the A. Electoral Process subcategory The score for the B. Political Pluralism and Participation subcategory The score for the C. Functioning of Government subcategory The score for the Political Rights category The score for the D. Freedom of Expression and Belief subcategory The score for the E. Associational and Organizational Rights subcategory The score for the F. Rule of Law subcategory The score for the G. Personal Autonomy and Individual Rights subcategory The score for the Civil Liberties category Total aggregate Score for all categories  
  • G
    • 2月 2021
      ソース: Collaborative Africa Budget Reform Initiative
      アップロード者: Knoema
      以下でアクセス: 02 3月, 2021
      データセットを選択
      African Country Budgets, Key Indicators CABRI provides up-to-date and regular information and analysis on African national budgets.
    • 9月 2023
      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: 06 9月, 2023
      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 empowerment and understand gender gaps in other key areas of development.Covering 180 countries and territories, the GID-DB contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls.
    • 1月 2025
      ソース: Ministry of Health, Ghana
      アップロード者: Felix Maru
      以下でアクセス: 18 2月, 2025
      データセットを選択
      Health Sector Facts and Figures of Ghana
    • 1月 2021
      ソース: Germanwatch
      アップロード者: Knoema
      以下でアクセス: 25 1月, 2021
      データセットを選択
      Data cited at: Germanwatch-https://www.germanwatch.org/en/cri 
    • 12月 2020
      ソース: World Economic Forum
      アップロード者: Alex Kulikov
      以下でアクセス: 28 12月, 2020
      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: https://www.weforum.org/reports/the-global-competitiveness-report-2020 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • 4月 2024
      ソース: DHL
      アップロード者: Alex Kulikov
      以下でアクセス: 03 5月, 2024
      データセットを選択
      DHL Global Connectedness Report, released in partnership with New York University’s Stern School of Business, unveils a remarkable finding: Globalization reached a record high in 2022 and has remained near that level in 2023
    • 3月 2020
      ソース: Knoema
      アップロード者: Alex Kulikov
      データセットを選択
    • 2月 2025
      ソース: Global Democracy Ranking
      アップロード者: Alex Kulikov
      以下でアクセス: 04 3月, 2025
      データセットを選択
      The average global index score stagnated in 2022. Despite expectations of a rebound after the lifting of pandemic-related restrictions, the score was almost unchanged, at 5.29 (on a 0-10 scale), compared with 5.28 in 2021. The positive effect of the restoration of individual freedoms was cancelled out by negative developments globally. The scores of more than half of the countries measured by the index either stagnated or declined. Western Europe was a positive outlier, being the only region whose score returned to pre-pandemic levels. 
    • 12月 2019
      ソース: Global Entrepreneurship and Development Institute
      アップロード者: Knoema
      以下でアクセス: 20 1月, 2020
      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
    • 8月 2025
      ソース: Global Entrepreneurship Monitor
      アップロード者: Alex Kulikov
      以下でアクセス: 10 8月, 2025
      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.
    • 4月 2025
      ソース: Global Entrepreneurship Monitor
      アップロード者: Jonathan Kilach
      以下でアクセス: 04 8月, 2025
      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.
    • 6月 2025
      ソース: World Economic Forum
      アップロード者: Alex Kulikov
      以下でアクセス: 29 7月, 2025
      データセットを選択
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: Global Gender Gap Report 2023 Publication URL: https://www.weforum.org/reports/global-gender-gap-report-2023 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   The Global Gender Gap Index annually benchmarks the current state and evolution of gender parity across four key dimensions (Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment). It is the longest-standing index tracking the progress of numerous countries’ efforts towards closing these gaps over time since its inception in 2006. This year, the 17th edition of the Global Gender Gap Index benchmarks gender parity across 146 countries, providing a basis for robust cross country analysis.
    • 5月 2024
      ソース: Dual Citizen LLC
      アップロード者: Akshata Biradarpatil Venkappa B Patil
      以下でアクセス: 31 5月, 2024
      データセットを選択
    • 9月 2024
      ソース: Global Hunger Index
      アップロード者: Knoema
      以下でアクセス: 11 10月, 2024
      データセットを選択
      Global Hunger Index, 2024 The 2024 Global Hunger Index (GHI) score for the world is 18.3, considered moderate, down only slightly from the 2016 score of 18.8. This global score obscures wide variations in hunger by region. The situation is most severe in Africa South of the Sahara and South Asia, where hunger remains serious. Africa South of the Sahara’s high GHI score is driven by the highest undernourishment and child mortality rates of any region by far. In South Asia, serious hunger reflects rising undernourishment and persistently high child undernutrition, driven by poor diet quality, economic challenges, and the increasing impact of natural disasters.
    • 9月 2024
      ソース: Global Innovation Index
      アップロード者: Knoema
      以下でアクセス: 07 10月, 2024
      データセットを選択
      The Global Innovation Index 2024 captures the innovation ecosystem performance of 133 economies and tracks the most recent global innovation trends. The Global Innovation Tracker 2024 provides a comprehensive analysis of the current state of global innovation. Findings highlight progress as well as challenges across four key stages of the innovation cycle: science and innovation investment, technological progress, technology adoption, and the socioeconomic impact of innovation.
    • 11月 2024
      ソース: Knowledge4All
      アップロード者: Knoema
      以下でアクセス: 04 12月, 2024
      データセットを選択
      Data cited at:  Knowledge4All, United Nations Development Program & Mohammed Bin Rashid Al Maktoum Knowledge Foundation.
    • 6月 2018
      ソース: Open Knowledge International
      アップロード者: Alex Kulikov
      以下でアクセス: 13 6月, 2018
      データセットを選択
    • 3月 2025
      ソース: International Finance and Macroeconomics (IFM) Milken Institute
      アップロード者: Alex Kulikov
      以下でアクセス: 18 4月, 2025
      データセットを選択
      The Global Opportunity Index (GOI) 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, everything 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, it tracks countries’ performance on more than 50 variables aggregated in five categories, each measuring an aspect of a country’s attractiveness for investors: (1) its economic performance; (2) the ability for investors to access financial services; (3) the cost of doing business; (4) the level of support its institutions provide to businesses; and (5) the extent to which its institutions, policies, and legal system facilitate international integration.
    • 6月 2024
      ソース: Institute for Economics and Peace
      アップロード者: Alex Kulikov
      以下でアクセス: 20 6月, 2024
      データセットを選択
      Data cited at: Institute for Economics and Peace retrieved from Vision of Humanity  The Global Peace Index 2022
    • 8月 2024
      ソース: Jones Lang LaSalle
      アップロード者: Knoema
      以下でアクセス: 10 9月, 2024
      データセットを選択
      The Global Real Estate Transparency Index covers 100 markets and is based on 186 indicators. These variables are divided into six areas –performance measurement, market fundamentals, governance of listed vehicles, regulatory & legal frameworks, transaction process and environmental sustainability
    • 12月 2024
      ソース: SolAbility
      アップロード者: Knoema
      以下でアクセス: 24 12月, 2024
      データセットを選択
      Highlights of the  Global Sustainable Competitiveness Report 2024:The GSCI is now based on a new calculation methodology incorporating 216 quantitative indicators that uses (but is not based upon) AI tools to clean data, and analyse trends and correlations • Scandinavia continues to make its mark on the Sustainable Competitiveness Index: of the top 5 spots, 4 are Scandinavian. Sweden keeps topping the Index, followed by Finland and Denmark; • Northern European countries dominate the top 20 rankings; • Only two countries in the Top 20 are not European: Japan on 10, and South on 16; • China is ranked 28, exceling in Intellectual Capital but lags in Natural Capital and Resource Efficiency, albeit with encouraging signs of efficiency improvements; • The USA is ranked 35, performing comparatively poor in resource efficiency and social capital, reflecting a decline that could potentially undermine the global status of the US in the future; • Germany ranks 9, France 8, and the UK 14; • Brazil ranks 52, India 90, and Nigeria – Africa’s most populous nation – 145; • Some of the least developed nations have a considerable higher GSCI ranking than their GDP would suggest (e.g. Vietnam, Colombia, Peu, Nepal, Bhutan, Bolivia, …) • Asian nations (South Korea, Japan, Singapore, and China) lead the Intellectual Capital Index – the basis of innovation. • The Social Capital Index ranking is headed by Northern European (Scandinavian) countries, the result of economic growth combined with a commonly accepted social consensus • Countries savaged by violent conflicts (Sudan, Yemen, Eritrea, Libya, Somalia, Afghanistan) are at the bottom of the GSCI
    • 2月 2025
      ソース: Institute for Economics and Peace
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2025
      データセットを選択
      Data cited at:  Institute for Economics & Peace and available from http://visionofhumanity.org/reports Note: The Year of data has been considered as year of publication, for example 2020 report is considered as year 2020.   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.  
    • 12月 2014
      ソース: World Wide Web Foundation
      アップロード者: Alex Kulikov
      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.
    • 3月 2017
      ソース: International Youth Foundation
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2017
      データセットを選択
      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.   Wellbeing is a multidimensional concept that includes a person’s physical and mental health, educational status, economic position, physical safety, access to freedoms, and ability to participate in civic life, all components have again multiple aspects. It is, in a sense, the abundance or scarcity of opportunities available to an individual. The definition of wellbeing and the indicators selected to create a picture of wellbeing draw upon the body of work measuring quality of life and economic and social progress as well as the discipline of positive youth development, which is a framework that builds on young people’s assets while still addressing their deficits. Scores for countries are on a scale of 0 to 1, and ranks are assigned based on the numeric scores from highest to lowest.
  • H
    • 3月 2024
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 10 4月, 2024
      データセットを選択
      Data Cited at: UNITED NATIONS DEVELOPMENT PROGRAMME, Human Development Data Center 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.
    • 12月 2024
      ソース: Cato Institute
      アップロード者: Akshata Biradarpatil Venkappa B Patil
      以下でアクセス: 19 12月, 2024
      データセットを選択
      Data Cited at: Cato Institute-https://www.cato.org/human-freedom-index-new Note:- Each indicator is rated on a 0–10 scale, with 10-representing the most freedom.
    • 4月 2025
      ソース: Our World in Data
      アップロード者: Alex Kulikov
      以下でアクセス: 05 8月, 2025
      データセットを選択
  • I
    • 8月 2025
      ソース: Heritage Foundation
      アップロード者: Knoema
      以下でアクセス: 29 8月, 2025
      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
    • 10月 2023
      ソース: Coffee Board of India
      アップロード者: Knoema
      以下でアクセス: 19 1月, 2024
      データセットを選択
    • 10月 2024
      ソース: Property Rights Alliance
      アップロード者: Knoema
      以下でアクセス: 24 10月, 2024
      データセットを選択
      The 2022 IPRI classifies 129 countries, representing 93.91% of the world population and 97.73% of the global GDP. The selection of countries was determined solely by the availability of sufficient data. The results continue to suggest that countries with high scores on the IPRI and its components also show high levels of income and development, indicating the positive relationship between a property rights regime and quality of life. The average score of the IPRI for 2022 is  5.19, where the Legal and Political Environment (LP) was the weakest component with a score of 5.06, followed by the Intellectual Property Rights (IPR) component with a score of 5.24; and quite close, the Physical Property Rights (PPR) was the strongest component with a score of 5.27  For the fourth consecutive year, we found a decrease in the overall score of the IPRI and this year, also for all of its components. Finland leads the IPRI (8.17) as well as its PPR component (8.53), while New Zealand leads the LP (8.76) and the USA the IPR component (8.73). Singapore ranks 2nd in its IPRI score (7.97) followed by Switzerland (7.94) and New Zealand (7.93).  
    • 8月 2025
      ソース: Statistics Mauritius
      アップロード者: Knoema
      以下でアクセス: 11 8月, 2025
      データセットを選択
      International Travel and Tourism of Mauritius, by Age Group
    • 4月 2025
      ソース: U.S. Federal Bureau of Investigation
      アップロード者: Alex Kulikov
      以下でアクセス: 05 6月, 2025
      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
    • 5月 2023
      ソース: The Africa Report
      アップロード者: Alex Kulikov
      以下でアクセス: 07 8月, 2023
      データセットを選択
    • 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
    • 11月 2024
      ソース: National Bureau of Statistics, Nigeria
      アップロード者: Knoema
      以下でアクセス: 29 11月, 2024
      データセットを選択
      Abridged Labor Force Survey Under Covid-19 
    • 2月 2023
      ソース: Legatum Institute
      アップロード者: Knoema
      以下でアクセス: 27 3月, 2023
      データセットを選択
    • 4月 2023
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 22 5月, 2023
      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
  • N
    • 3月 2025
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 03 3月, 2025
      データセットを選択
      A strike is a temporary work stoppage carried out by one or more groups of workers with a view to enforcing or resisting demands or expressing grievances, or supporting other workers in their demands or grievances. A lockout is a total or partial temporary closure of one or more places of employment, or the hindering of the normal work activities of employees, by one or more employers with a view to enforcing or resisting demands or expressing grievances, or supporting other employers in their demands or grievances. Data disaggregated by economic activity are provided according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Data may have been regrouped from national classifications, which may not be strictly compatible with ISIC. For more information, refer to the Industrial Relations data (IRdata) database description.
  • O
    • 7月 2024
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Alex Kulikov
      以下でアクセス: 02 7月, 2024
      データセットを選択
    • 6月 2019
      ソース: Open Data Research Network
      アップロード者: Knoema
      以下でアクセス: 22 10月, 2023
      データセットを選択
      Data cited at: Open data research Network  Lisence: http://creativecommons.org/licenses/by/4.0/
    • 6月 2016
      ソース: Open Data Research Network
      アップロード者: Alex Kulikov
      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.
    • 3月 2023
      ソース: Open Data Watch
      アップロード者: Knoema
      以下でアクセス: 06 3月, 2023
      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
    • 8月 2025
      ソース: Political Terror Scale
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2025
      データセットを選択
        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.   Note- NA_Status_A, NA_Status_H, and NA_Status_S corresponds to  PTS_A, PTS_H, and PTS_S respectively0= The value ‘0’ is assigned where the respective human rights report was available and has been coded66= The value ‘66’ is reserved for missing PTS scores due to missing reports 77=The value ‘77’ is assigned where reports no-longer exist, or do not exist yet88=The value ‘88’ is assigned for units that exist  but no report was published and thus no PTS score is assigned99= The value ‘99’ is assigned where human rights report was published but no PTS score was assigned  
    • 8月 2023
      ソース: General Authority for Statistics, Kingdom of Saudi Arabia
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2023
      データセットを選択
    • 7月 2025
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2025
      データセットを選択
      The World Bank updated the global poverty lines in September 2022. The Poverty data are now expressed in 2017 Purchasing Power Parity (PPP) prices, versus 2011 PPP in previous editions. The new global poverty lines of $2.15, $3.65, and $6.85 reflect the typical national poverty lines of low-income, lower-middle-income, and upper-middle-income countries in 2017 prices.
    • 5月 2019
      ソース: The Africa Information Highway
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2019
      データセットを選択
      Data cited at: The African Development Bank: Producer food prices in African countries: https://dataportal.opendataforafrica.org/syyplpc
  • Q
    • 1月 2025
      ソース: Quality of Government Institute
      アップロード者: Knoema
      以下でアクセス: 03 2月, 2025
      データセットを選択
      The main objective of the research is to address the theoretical and empirical problems of how political institutions of high quality can be created and maintained. The second objective is to study the effects of Quality of Government on a number of policy areas, such as health, environment, social policy, and poverty. While Quality of Government is the common intellectual focal point of the research institute, a variety of theoretical and methodological perspectives are applied. Data citation:  Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli, Rafael Lopez Valverde, Victor Saidi Phiri & Lauren Gerber. 2025. The Quality of Government Standard Dataset, version Jan25. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government doi:10.18157/qogstdjan25
  • R
    • 5月 2024
      ソース: Global Finance Magazine
      アップロード者: Alex Kulikov
      以下でアクセス: 10 2月, 2025
      データセットを選択
    • 8月 2025
      ソース: World Justice Project
      アップロード者: Knoema
      以下でアクセス: 24 8月, 2025
      データセットを選択
      Data cited at:  The World Justice Project (WJP) The World Justice Project (WJP) Rule of Law Index® is a quantitative assessment tool designed by the World Justice Project to offer a detailed and comprehensive picture of the extent to which countries adhere to the rule of law in practice. Factors of the WJP Rule of Law Index include: 1. Constraints on Government Powers 2. Absence of Corruption 3. Open Government 4. Fundamental Rights 5. Order and Security 6. Regulatory Enforcement 7. Civil Justice 8. Criminal Justice (Data is collected for a 9th factor, Informal Justice, but it is not included in aggregated scores and rankings. This is due to the complexities of these systems and the difficulties in measuring their fairness and effectiveness in a matter that is both systematic and comparable across countries.) Every year WJP collects data from representative samples of the general public and legal professionals to compute the index scores. The data, once collected, are carefully processed to arrive at country-level scores. The respondent level data is first edited to exclude partially-completed surveys, suspicious data, and outliers. Individual answers are then mapped on to the 44 sub-factors of the index. Answers are coded so that all values ​​fall between 0 (least rule of law) and 1 (most rule of law), and aggregated at country level using the simple, or unweighted, average of all respondents. Note: 2012-2013 values ​​given for year 2013 and 2017-2018 given for year 2018.
  • S
    • 8月 2025
      ソース: Scimago Institutions Rankings
      アップロード者: Knoema
      以下でアクセス: 15 8月, 2025
      データセットを選択
      The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators.  
    • 10月 2024
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 30 10月, 2024
      データセットを選択
    • 5月 2024
      ソース: Fraser Institute
      アップロード者: Knoema
      以下でアクセス: 24 12月, 2024
      データセットを選択
      Data cited at:  "Annual Survey of Mining Companies: 2021"@ Fraser Institute   The Fraser Institute Annual Survey of Mining Companies was sent to approximately 4,100 exploration, development, and other mining-related companies around the world. Several mining publications and associations also helped publicize the survey. The survey, conducted from October 9, 2012, to January 6, 2013, represents responses from 742 of those companies. The companies participating in the survey reported exploration spending of US$6.2 billion in 2012 and US$ 5.4 billion in 2011.
    • 6月 2024
      ソース: Sustainable Development Solutions Network
      アップロード者: Knoema
      以下でアクセス: 19 6月, 2024
      データセットを選択
      Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The Sustainable Development Report 2020 presents the SDG Index and Dashboards for all UN member states and frames the implementation of the Sustainable Development Goals (SDGs) in terms of six broad transformations. It was prepared by teams of independent experts at the Sustainable Development Solutions Network (SDSN) and the Bertelsmann Stiftung.
    • 4月 2025
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 22 7月, 2025
      データセットを選択
  • T
    • 11月 2023
      ソース: Chinn-Ito Index
      アップロード者: Knoema
      以下でアクセス: 24 1月, 2024
      データセットを選択
      The Chinn-Ito index (KAOPEN) is an index measuring a country's degree of capital account openness. The index was initially introduced in Chinn and Ito (Journal of Development Economics, 2006). KAOPEN is based on the binary dummy variables that codify the tabulation of restrictions on cross-border financial transactions reported in the IMF's Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER).   Chinn, Menzie D. and Hiro Ito (2008). "A New Measure of Financial Openness". Journal of Comparative Policy Analysis, Volume 10, Issue 3, p. 309 – 322 (September). Ito, Hiro (2006). "Financial Development in Asia: Thresholds, Institutions, and the Sequence of Liberalization". North American Journal of Economics and Finance, issue 17(3) (December). Chinn, Menzie D. and Hiro Ito (2006)."What Matters for Financial Development? Capital Controls, Institutions, and Interactions," Journal of Development Economics, Volume 81, Issue 1, Pages 163-192 (October). The longer version is available as NBER Working Paper No. 11370 (May 2005). The previous version is "Capital Account Liberalization, Institutions and Financial Development: Cross Country Evidence," (with Menzie Chinn) NBER Working Paper Series, #8967 (June 2002).  
    • 5月 2023
      ソース: Walk Free Foundation
      アップロード者: Knoema
      以下でアクセス: 29 5月, 2023
      データセットを選択
      The Global Slavery Index, the flagship report of the Walk Free Foundation. The Global Slavery Index estimates the number of people in modern slavery in 167 countries. It is a tool for citizens, non government organisations, businesses and public officials to understand the size of the problem, existing responses and contributing factors, so they can build sound policies that will end modern slavery. The Global Slavery Index answers the following questions: What is the estimated prevalence of modern slavery country by country, and what is the absolute number by population? How are governments tackling modern slavery? What factors explain or predict the prevalence of modern slavery? Government Response Rating by Country A - 70 to 79.9 BBB - 60 to 69.9 BB - 50 to 59.9 B - 40 to 49.9 CCC - 30 to 39.9 DC - 20 to 29.9 C - 10 to 19.9 D - <0 to 9.9
    • 2月 2015
      ソース: University of Keele
      アップロード者: Alex Kulikov
      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.
    • 10月 2012
      ソース: Strategy&
      アップロード者: Alex Kulikov
      以下でアクセス: 24 12月, 2013
      データセットを選択
      PwC’s Strategy& created the Third Billion index, a ranking of 128 countries worldwide that is based on how effectively leaders are empowering women as economic agents in the marketplace.
    • 10月 2024
      ソース: Statistics Botswana
      アップロード者: Knoema
      以下でアクセス: 15 11月, 2024
      データセットを選択
      Data cited at: https://botswana.opendataforafrica.org/stuwedg Tourism Statistics by country of origin, Botswana
    • 4月 2025
      ソース: National Statistics Agency, Zimbabwe
      アップロード者: Felix Maru
      以下でアクセス: 23 5月, 2025
      データセットを選択
    • 8月 2025
      ソース: National Bureau of Statistics, Seychelles
      アップロード者: Sandeep Reddy
      以下でアクセス: 15 8月, 2025
      データセットを選択
      Seychelles Tourist Arrivals by Country of Residence, Mode of Transport and Purpose of Visit
  • U
    • 9月 2024
      ソース: United Nations Public Administration Country Studies
      アップロード者: Knoema
      以下でアクセス: 04 10月, 2024
      データセットを選択
      Data cited at: UN E-Government Knowledgebase - https://publicadministration.un.org/egovkb/en-us/ 1. The EGDI is based on a comprehensive Survey of the online presence of all 193 United Nations Member States, which assesses national websites and how e-government policies and strategies are applied in general and in specific sectors for delivery of essential services. The assessment rates the e-government performance of countries relative to one another as opposed to being an absolute measurement. The results are tabulated and combined with a set of indicators embodying a country’s capacity to participate in the information society, without which e-government development efforts are of limited immediate use. Although the basic model has remained consistent, the precise meaning of these values varies from one edition of the Survey to the next as understanding of the potential of e-government changes and the underlying technology evolves. This is an important distinction because it also implies that it is a comparative framework that seeks to encompass various approaches that may evolve over time instead of advocating a linear path with an absolute goal. 2. E-Government Development Index-EGDI Very High-EGDI (Greater than 0.75) High-EGDI (Between 0.50 and 0.75) Middle-EGDI (Between 0.25 and 0.50) Low-EGDI (Less than 0.25)
    • 4月 2025
      ソース: UNESCO Institute for Statistics
      アップロード者: Knoema
      以下でアクセス: 25 4月, 2025
      データセットを選択
      National Monitoring : School life expectancy by level of education
  • W
    • 8月 2024
      ソース: World Economics and Politics (WEP) Dataverse
      アップロード者: Alex Kulikov
      以下でアクセス: 04 9月, 2024
      データセットを選択
    • 10月 2012
      ソース: World Wide Fund for Nature
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2016
      データセットを選択
      Domestic ivory market score: Scores range from –4, indicating no or very small, highly-regulated domestic ivory markets and carving industries, to 20, indicating extremely large, completely unregulated domestic ivory markets and carving industries. As described in CoP13 Doc.29,2 Annex, this component is based upon a cumulative scoring system which tracks the relative scale of the retail-level trade, the degree of control over such trade, and the status of ivory carving. Law enforcement effort ratio: Number of in-country seizures divided by total number of seizures linked to that country 1999-2010. Total weight of recent ivory seizures: Total weight of ivory seizures linked to that country 1999-2010. Organized crime indicator: Percentage of seizure cases linked to that country 1999-2010 of more than 1,000 kg in weight, indicative of involvement of organized crime in the movement of ivory.
    • 10月 2024
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 14 10月, 2024
      データセットを選択
    • 7月 2025
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 27 8月, 2025
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Economic Monitor Publication: https://datacatalog.worldbank.org/dataset/global-economic-monitor License: http://creativecommons.org/licenses/by/4.0/   The dataset Provides daily updates of global economic developments, with coverage of high income- as well as developing countries. Average period data updates are provided for exchange rates, equity markets, interest rates, stripped bond spreads, and emerging market bond indices. Monthly data coverage (updated daily and populated upon availability) is provided for consumer prices, high-tech market indicators, industrial production and merchandise trade.
    • 6月 2025
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 13 6月, 2025
      データセットを選択
      Global growth is expected to hold steady at 2.7 percent in 2025-26. However, the global economy appears to be settling at a low growth rate that will be insufficient to foster sustained economic development. Emerging market and developing economies are set to enter the second quarter of the 21st century with per capita incomes on a trajectory that implies feeble catch-up toward those of advanced economies. Most low-income countries are not on course to graduate to middle-income status by 2050. Policy action at the global and national levels is needed to foster a more favorable external environment, enhance macroeconomic stability, reduce structural constraints, address the effects of climate change, and thus accelerate long-term growth and development.
    • 8月 2025
      ソース: World Bank
      アップロード者: Alex Kulikov
      以下でアクセス: 03 8月, 2025
      データセットを選択
      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates
    • 1月 2025
      ソース: United Nations Department of Economic and Social Affairs
      アップロード者: Knoema
      以下でアクセス: 27 1月, 2025
      データセットを選択
      Note: World Economic Situation and Prospects, 2021 update available here: https://knoema.com/WESP2021/  
    • 4月 2024
      ソース: World Energy Council
      アップロード者: Alex Kulikov
      以下でアクセス: 10 5月, 2024
      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.
    • 8月 2024
      ソース: Charities Aid Foundation
      アップロード者: Alex Kulikov
      以下でアクセス: 09 10月, 2024
      データセットを選択
      Data cited at: Charities Aid Foundation   CAF World Giving Index 2019: For the 2019 edition, CAF included aggregate data for each country across the 10 years interview was conducted, namely 2009-2018. This data corresponds to the reports issued the year after interviewing took place (i.e. CAF World Giving Index 2010 refers to data collected in 2009). Due to the small variation in countries Gallup interview in each year, CAF has only included countries in this edition for which data was available for at least eight of the last 10 years. This means that this edition is based on 128 countries.   CAF World Giving Index ranking and scores: 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. For this 10th edition, CAF has averaged the scores across the 10 years to give aggregate numbers.
    • 3月 2025
      ソース: Sustainable Development Solutions Network
      アップロード者: Alex Kulikov
      以下でアクセス: 08 4月, 2025
      データセットを選択
      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. The World Happiness Report 2020 for the first time ranks cities around the world by their subjective well-being and digs more deeply into how the social, urban and natural environments combine to affect our happiness.
    • 7月 2025
      ソース: Economic Policy Uncertainty
      アップロード者: Alex Kulikov
      以下でアクセス: 28 7月, 2025
      データセットを選択
      Data cited at: World Uncertainty Index (WUI), developed by Hites Ahir (International Monetary Fund), Nicholas Bloom (Stanford University) and Davide Furceri (International Monetary Fund).