Ocorreu um erro. Detalhes Ocultar
Você tem páginas não gravadas. Restaurar Cancelar

World Bank

The World Bank is an international financial institution that provides loans to developing countries for capital programs. The World Bank Group has set two goals for the world to achieve by 2030: end extreme poverty by decreasing the percentage of people living on less than $1.25 a day to no more than 3%; promote shared prosperity by fostering the income growth of the bottom 40% for every country. According to its Articles of Agreement all its decisions must be guided by a commitment to the promotion of foreign investment and international trade and to the facilitation of capital investment.

Todos os conjuntos de dados:  B C E G H I J M P Q R W
  • B
    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
  • C
  • E
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 02 agosto, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.
    • julho 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 16 julho, 2019
      Selecionar Conjunto de dados
      1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2017, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
  • G
    • novembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 06 novembro, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/
    • julho 2011
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 21 setembro, 2017
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Bilateral Migration Database Publication: https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database License: http://creativecommons.org/licenses/by/4.0/   Global Bilateral Migration Database: Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.
    • outubro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 23 outubro, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Development Publication: https://datacatalog.worldbank.org/dataset/global-financial-development License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.
    • dezembro 2016
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 09 outubro, 2018
      Selecionar Conjunto de dados
      GPSS data (Accounts & Access, retail payment transactions and RTGS transactions – volumes and values). The World Bank’s Global Payment Systems Survey (GPSS) surveys national and regional central banks and monetary authorities on the status of payment systems. The GPSS is the only global survey that combines quantitative and qualitative measures of payment system development and covers all aspects of national payment systems – from infrastructure and the legal and regulatory environment to technological and business model innovations, international remittances, and oversight framework. The GPSS aims to take an accurate snapshot of payment systems worldwide to obtain information on payment system reforms and the factors which hinder and/or facilitate them in order to help guide policy-dialogue at the international and national levels, and World Bank Group technical assistance. In April 2007, the World Bank launched the first Global Payment Systems Survey among national central banks to collect information on the situation of national payment and securities settlement systems worldwide and provide a payment systems snapshot of both advanced and emerging economies in order to identify main issues that should guide the agenda of authorities, multilateral and market players in the field over the next few years.
  • H
    • setembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
      Selecionar Conjunto de dados
      Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.
    • março 2019
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 20 março, 2019
      Selecionar Conjunto de dados
      This dataset presents HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).
  • I
  • J
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 18 outubro, 2019
      Selecionar Conjunto de dados
      The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
  • M
    • dezembro 2015
      Fonte: World Bank
      Carregamento por: Mikhail Zhukovskii
      Acesso em 08 dezembro, 2015
      Selecionar Conjunto de dados
    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
  • P
    • setembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Population Estimates And Projections Publication: https://datacatalog.worldbank.org/dataset/population-estimates-and-projections License: http://creativecommons.org/licenses/by/4.0/   This database presents population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and sex and covers more than 200 economies.
    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 25 abril, 2019
      Selecionar Conjunto de dados
      The World Bank periodically prepares poverty assessments of countries in which it has an active program, in close collaboration with national institutions, other development agencies, and civil society, including poor people's organizations. Assessments report the extent and causes of poverty and propose strategies to reduce it. Countries have varying definitions of poverty, and comparisons can be difficult. National poverty lines tend to have higher purchasing power in rich countries, where standards used are more generous than in poor countries. Poverty measures based on an international poverty line attempt to hold the real value of the poverty line constant across countries, including when making comparisons over time. Data here includes measures of population living below the national poverty line as well as the international poverty line. Also included are income distributions and urban and rural poverty
  • Q
    • novembro 2019
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 06 novembro, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly External Debt Statistics SDDS Publication: https://datacatalog.worldbank.org/dataset/quarterly-external-debt-statistics-sdds License: http://creativecommons.org/licenses/by/4.0/   In October 2014, the World Bank launched the new Quarterly External Debt Statistics (QEDS) SDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS SDDS database provides detailed external debt data starting from 1998Q1. Data are published individually by countries that subscribe to the IMF’s Special Data Dissemination Standard (SDDS), as well as, GDDS participating countries that are in a position to produce the external debt data prescribed by the SDDS.
    • novembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 06 novembro, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly Public Sector Debt Publication: https://datacatalog.worldbank.org/dataset/quarterly-public-sector-debt License: http://creativecommons.org/licenses/by/4.0/   Quarterly Public Sector Debt (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected countries. The QPSD database includes country and cross-country tables, and specific public debt components. The data represent the following sectors on an as-available basis: General government; otherwise Central government; otherwise Budgetary central government; Non Financial public corporations and Financial public corporations and a table presenting the total public sector debt.
  • R
    • janeiro 2018
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 28 fevereiro, 2018
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Remittance Prices Worldwide Publication: https://datacatalog.worldbank.org/dataset/remittance-prices-worldwide License: http://creativecommons.org/licenses/by/4.0/   Provides data on the cost of sending and receiving relatively small amounts of money from one country to another. Data cover 365 "country corridors" worldwide, from 48 remittance sending countries to 105 receiving countries.
  • W
    • julho 2019
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 22 agosto, 2019
      Selecionar Conjunto de dados
      Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
    • junho 2016
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 31 agosto, 2017
      Selecionar Conjunto de dados
      The G20 Basic Set of Financial Inclusion data repository includes detailed data from users and providers of financial services. The Basic Set measures both access to financial services (“supply-side” data) and usage of services (“demand-side” data). The Basic Set covers both individuals and small and medium sized enterprises (SME’s) and includes data from three sources and 192 countries. The five basic set indicators are as follows: 1.The percentage of adults with a formal account; 2. The percentage of adults that use formal credit; 3. The percentage of SME’s with a formal account; 4. The percentage of SME’s that use formal credit; and 5. Bank branch penetration.
    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Sustainable Energy For All Publication: https://datacatalog.worldbank.org/dataset/sustainable-energy-all License: http://creativecommons.org/licenses/by/4.0/   The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.
    • outubro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 06 novembro, 2019
      Selecionar Conjunto de dados
      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
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 07 outubro, 2019
      Selecionar Conjunto de dados
      The Worldwide Governance Indicators (WGI) project reports aggregate and individual governance indicators for over 200 countries and territories over the period 1996–2018, for six dimensions of governance:Voice and AccountabilityPolitical Stability and Absence of ViolenceGovernment EffectivenessRegulatory QualityRule of LawControl of Corruption The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources. Measure description: Estimate:-Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance) Standard error (StdErr):-Standard error reflects variability around the point estimate of governance. Number of sources (NumSrc):-Number of data sources on which estimate is based Rank:-Percentile rank among all countries (ranges from 0 (lowest) to 100 (highest) rank) Lower:-Lower bound of 90% confidence interval for governance, in percentile rank terms Upper:-Upper bound of 90% confidence interval for governance, in percentile rank terms

Nossa declaração de privacidade e política de cookies

O nosso website utiliza cookies para facilitar a sua experiência online. Eles foram salvos no seu computador quando você lançou este site. Você pode modificar suas configurações pessoais para cookies através das configurações do seu navegador de Internet.

Política de Privacidade