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  • 大統領:Denis Sassou Nguesso
  • 首相:Anatole Collinet Makosso
  • 首都:Brazzaville
  • 言語:French (official), Lingala and Monokutuba (lingua franca trade languages), many local languages and dialects (of which Kikongo is the most widespread)
  • 政府
  • 統計局
  • 人口、人:6,408,294 (2025)
  • 面積、平方キロメートル:341,500
  • 1人当たりGDP、US $:2,482 (2024)
  • GDP、現在の10億米ドル:15.7 (2024)
  • GINI指数:48.9 (2011)
  • ビジネスのしやすさランク:180

すべてのデータセット: A B C E F G H I L M O P Q R S T U W
  • 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
    • 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
    • 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
    • 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.
    • 6月 2025
      ソース: Bank of Central African States
      アップロード者: Knoema
      以下でアクセス: 25 6月, 2025
      データセットを選択
      Consumer Price Inflation of CEMAC (Economic and Monetary Community of Central Africa)  countries
    • 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
  • E
  • F
  • G
    • 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.
    • 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
    • 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. 
    • 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.
    • 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
    • 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.  
  • H
  • 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
  • L
  • M
  • 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
    • 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
    • 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.
  • 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
    • 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
    • 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
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  • T
    • 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 2025
      ソース: Ministry of Tourism, Government of India
      アップロード者: Alex Kulikov
      以下でアクセス: 14 3月, 2025
      データセットを選択
  • 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
    • 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 2020
      ソース: Ministry of Statistics and Programme Implementation, India
      アップロード者: Knoema
      以下でアクセス: 29 5月, 2020
      データセットを選択
    • 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.
    • 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).