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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.

Все наборы данных:  A B C E F G H I J K L M P Q S T W
  • A
    • Февраль 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 25 февраля, 2013
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      Africa Development Indicators (ADI) provides the most detailed collection of development data on Africa, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.
    • Сентябрь 2012
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2014
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      The data contained in this general study of 31 African cities has to be considered with a degree of caution due to inconsistencies in definitions, measurements, and data collection methodologies. The inherent complexities of the sector, the difficulties in measuring institutional arrangements, and the validation of the data found added limitations to the data set.
    • Ноябрь 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2014
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      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.
    • Ноябрь 2009
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2014
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      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
    • Ноябрь 2009
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2014
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      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.
    • Ноябрь 2009
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2014
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      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.
    • Ноябрь 2009
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2014
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      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.
    • Ноябрь 2009
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 декабря, 2014
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      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.
    • Октябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 07 октября, 2015
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      Africa's Power Infrastructure: Investment, Integration, Efficiency by Anton Eberhard, Orvika Rosnes, Maria Shkaratan, Haakon Vennemo and Published by the World Bank.
    • Сентябрь 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 08 апреля, 2015
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      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 estimation and Data presented here include measures of agricultural inputs, outputs, and productivity compiled by the UN's Food and Agriculture Organization.
    • Июнь 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2014
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      This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • Апрель 2010
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 18 марта, 2015
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      The Arab World Education Performance Indicators compiles data on education outcomes in 22 Arab States member countries in an aggregated and standardized manner. It allows users to compare the performance of each country along the following 6 important dimensions of education performance: access, equity, quality, efficiency, relevance, and Knowledge Economy readiness.
  • B
    • Октябрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 11 ноября, 2016
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      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
  • C
    • Январь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 22 сентября, 2016
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    • Декабрь 2012
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 сентября, 2016
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    • Апрель 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 12 июля, 2017
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      Financial Intermediary Funds (FIFs) are multilateral financing arrangements for which the World Bank provides Trustee services that include committing and transferring funds to project implementers (generally international organizations such as multilateral development banks or UN agencies). In all cases the World Bank as Trustee is required to act in accordance with instructions of independent governing bodies. In fulfilling its responsibilities, the World Bank as Trustee complies with all sanctions applicable to World Bank transactions. The innovative financing and governance arrangements of FIFs enable funds to be raised from multiple sources, including from sovereign and private sources. FIF structures are customizable. For instance FIFs have been customized to receive contributions in the form of concessional loans in addition to traditional grant funds, and can provide funding to recipients using customized financial products.
    • Июль 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 18 августа, 2017
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      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)
    • Август 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 ноября, 2014
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      The World Bank Pilot Study for Crowd-Sourced Price Data Collection through Mobile Phones combined the need for high-frequency data, recent developments in information and communication technologies, and power of crowd. Crowd-sourced data are data collected and reported by the user community using information and communication technologies.The objective of the pilot was to study the feasibility of crowd-sourced price data collection. Non-professional price collectors used personal computers and mobile phones for collecting data and entering it in a multilingual web microsite developed for the pilot. Price data was collected for thirty tightly specified food commodity items on a monthly basis for approximately six months in eight pilot countries. Non-professional price collectors received compensation in the form of airtime rewards.
  • E
    • Апрель 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 26 мая, 2016
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      The East Asia and Pacific Economic Update is the comprehensive, twice-yearly review of the region’s economies prepared by the East Asia and Pacific region of the World Bank. The report provides forward-looking analysis of the region's economic and social well-being, and includes data on key indicators for output, employment, prices, public sector, foreign trade, BOP, external debt and financial markets.
    • Июль 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 13 октября, 2016
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    • Март 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 13 апреля, 2017
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      The reliability and availability of infrastructure and the provision of utility services is crucial for development. The quality of infrastructure is measured by indicators assessing the wait times to obtain selected utility services, as well as the disruption of these services. The thirteen indicators measure the reliability and provision of infrastructure services in 144 countries. In addition, the estimated cost burden due to the inadequate provision of electricity is provided.
    • Октябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 27 октября, 2015
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      1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2015, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
    • Январь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 19 января, 2017
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      The Enterprise Surveys use standard survey instruments to collect firm-level data on the business environment from business owners and top managers. The surveys cover a broad range of topics including access to finance, corruption, infrastructure, crime, competition, labor, obstacles to growth, and performance measures.The full, firm-level data are available to researchers and include answers from all the survey questions- both global questions as well as country-specific questions. Note that the survey data results presented on the website are primarily in the form of indicators, i.e. firm-level data has been aggregated to the country level.
    • Сентябрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 04 октября, 2016
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  • F
    • Апрель 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 25 мая, 2017
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      Financial Intermediary Funds (FIFs) are multilateral financing arrangements for which the World Bank provides Trustee services that include committing and transferring funds to project implementers (generally international organizations such as multilateral development banks or UN agencies). In all cases the World Bank as Trustee is required to act in accordance with instructions of independent governing bodies. In fulfilling its responsibilities, the World Bank as Trustee complies with all sanctions applicable to World Bank transactions. Funding Decisions represent amounts approved by the FIFs governing bodies for projects fees and administrative budgets. Funding to projects can be done through various financial products, including grants and concessional loans.
  • G
    • Июнь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 25 июля, 2017
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      Gender Stats is... A one stop source of information on gender at the country level. A compilation of data on key gender topics from national statistics agencies, United Nations databases, and World Bank-conducted or funded surveys. A work-in-progress because the database is continuously updated as new information becomes available.
    • Июнь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 28 июня, 2017
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      The Global Financial Development Database is an extensive dataset of financial system characteristics for countries and group-wise economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability). For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihák, Asli Demirgüç-Kunt, Erik Feyen, and Ross Levine, 2012. Benchmarking Financial Systems Around the World.World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C. Concepts: The Kruskal-Wallis H test (sometimes also called the "one-way ANOVA on ranks") is a rank-based nonparametric test that can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable. The Z score method examines liquidity, profitability, reinvested earnings and leverage which are integrated into a single composite score. It can be used with past, current or projected data as it requires no external inputs such as GDP or Market Price. Z-Score Ratings cutoff scores used in classifications: AAA 8.15, AA 7.30, A 6.65 , BBB 5.85, BB 4.95, B 4.15, CCC 3.20, D 3.19
    • Апрель 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 18 июня, 2015
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      The Global Financial Inclusion Database provides 800 country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics-gender, age, education, income, and rural residence. Covering more than 140 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk. The reference citation for the data is: Demirguc-Kunt, Asli, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden. 2015. “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, DC. Note: 1: Variable [w1] refers to 2011 variables 2: Variable [w2] refers to 2014 variables 3: Variable [ts] refers to Time Series variables (2011, 2014)
    • Январь 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 20 марта, 2015
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      The data originate from the education goals of developing-country partners of the Global Partnership for Education (GPE). Indicators compare actual values observed against targets, as set in education sector plans, joint sector reviews, and GPE grant applications. Indicators present key education outcomes and service delivery data; domestic, external, and GPE financing; learning outcomes; the composition of the Local Education Groups; and aid effectiveness in the education sector.
  • H
    • Июль 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 02 августа, 2017
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      The World Bank Health Nutrition and Population Statistics Provides key health, nutrition and population statistics gathered from a variety of international sources. Themes include population dynamics, nutrition, reproductive health, health financing, medical resources and usage, immunization, infectious diseases, HIV/AIDS, DALY, population projections and lending. HNPStats also includes health, nutrition and population statistics by wealth quintiles.
    • Декабрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 30 декабря, 2016
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      This dataset provides 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).
    • Октябрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 10 января, 2017
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      This dataset provides population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and gender and cover approximately 200 economies.
    • Июль 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2014
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      This dataset provides World Bank's IBRD/IDA lending for Health, Nutrition and Population (HNP) for the fiscal years 1970-2012.
    • Февраль 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 07 декабря, 2015
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      Find the Detail Description for the Following Variables 1) WorldClim Bioclimatic Variables_1 - "WorldClim Bioclimatic Variables (Average annual temperature calculatedfrom monthly climatology, multiplied by 10 (°C))"2) WorldClim Bioclimatic Variables_2 - "WorldClim Bioclimatic Variables (Average temperature of thewettest quarter, from monthly climatology, multiplied by 10. (°C))"3) WorldClim Bioclimatic Variables_3 - "WorldClim Bioclimatic Variables (Total annual precipitation,from monthly climatology (mm))"4) WorldClim Bioclimatic Variables_4 - "WorldClim Bioclimatic Variables (Precipitation of wettestmonth, from monthly climatology (mm))"5) WorldClim Bioclimatic Variables_5 - "WorldClim Bioclimatic Variables (Precipitation of wettestquarter, from monthly climatology (mm))"6) Rainfall Estimates (RFE)_1 - "Rainfall Estimates (RFE) (Average 12-month totalrainfall (mm) for Jan-Dec)"7) Rainfall Estimates (RFE)_2 - "Rainfall Estimates (RFE)(Average total rainfall inwettest quarter (mm) within 12-month periods from Jan-Dec)"8) Rainfall Estimates (RFE)_3 - "Rainfall Estimates (RFE) (Average start of wettestquarter in dekads 1-36, where first dekad of Jan =1)"9) Rainfall Estimates (RFE)_4 - "Rainfall Estimates (RFE) (12-month total rainfall(mm) in Jan-Dec, starting January 2012 )"10) Rainfall Estimates (RFE)_5 - "Rainfall Estimates (RFE) (Total rainfall in wettestquarter (mm) within 12- month periods starting January 2012 )"11) Rainfall Estimates (RFE)_6 - "Rainfall Estimates (RFE) (Start of wettest quarter indekads 1-36, where first dekad of January 2012 =1)"12) MOD12Q2 Land Cover Dynamics (PHENOLOGY)_1 - "MOD12Q2 Land Cover Dynamics (PHENOLOGY ) (Average total change ingreenness (integral of daily EVI values) within growing season, averaged by state)"13) MOD12Q2 Land Cover Dynamics (PHENOLOGY)_2 - "MOD12Q2 Land Cover Dynamics (PHENOLOGY ) (Average EVI value at peakof greenness, averaged by state)"14) MOD12Q2 Land Cover Dynamics (PHENOLOGY)_3 - "MOD12Q2 Land Cover Dynamics (PHENOLOGY ) (Average timing of onset ofgreenness increase in day of year 1-356, within earlygrowing season, averagedby state)"15) MOD12Q2 Land Cover Dynamics (PHENOLOGY)_4 - "MOD12Q2 Land Cover Dynamics (PHENOLOGY )(Average timing of onset ofgreenness decrease in day of year 1-356, within growing season, averaged by state)"16) MOD12Q2 Land Cover Dynamics (PHENOLOGY)_5 - "MOD12Q2 Land Cover Dynamics (PHENOLOGY ) (Total change in greenness(integral of daily EVI values) within growing season of 2012, averaged by state)"17) MOD12Q2 Land Cover Dynamics (PHENOLOGY)_6 - "MOD12Q2 Land Cover Dynamics (PHENOLOGY )(EVI value at peak ofgreenness within growing season of 2012, averaged by state )"18) MOD12Q2 Land Cover Dynamics (PHENOLOGY)_7 - "MOD12Q2 Land Cover Dynamics (PHENOLOGY ) (Onset of greenness increasein day of year 1-356, within growing season of 2012, averaged by state)"19) MOD12Q2 Land Cover Dynamics (PHENOLOGY)_8 - "MOD12Q2 Land Cover Dynamics (PHENOLOGY ) (Onset of greennessdecrease in day of year 1-356, within growing season of 2012, averaged by state )"
  • I
    • Август 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 18 августа, 2017
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      The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are offered at market rates and are guaranteed by member countries. IBRD may also make loans to IFC. Data are in U.S. dollars calculated using historical rates. This dataset contains historical snapshots of the Statement of Loans including the latest available snapshots.
    • Август 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2017
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      The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the Statement of Loans. The World Bank complies with all sanctions applicable to World Bank transactions.
    • Июль 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 августа, 2016
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    • Июнь 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 19 марта, 2015
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      This database underpins the analysis in the report “More Power to India: The Challenge of Electricity Distribution”. The database is a collection of primary and secondary data on the Indian power sector, collected at the utility and state levels. It covers 87 power utilities and 29 states and spreads over the years 2003 to 2011 across dimensions such as operational and financial performance, market structure, implementation of reforms and corporate and regulatory governance.
    • Июнь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 21 июля, 2015
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      The Indonesia Database for Policy and Economic Research (INDO-DAPOER) contains relevant economic and social indicators at the province- and district-level, which span across four main categories: fiscal, economic, social and demographic, as well as infrastructure.
    • Декабрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 марта, 2016
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      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • Декабрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 28 декабря, 2016
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      Focuses on financial flows, trends in external debt, and other major financial indicators for developing and advanced economies (data from Quarterly External Debt Statistics and Quarterly Public Sector Debt databases). Includes over 200 time series indicators from 1970 to 2015, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2023. Note: Total reserves in months of imports=(Total reserves/Total Imports)*12
    • Ноябрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 24 ноября, 2016
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      Internet users are individuals who have used the Internet (from any location) in the last 12 months. Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
  • J
    • Июнь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 12 июля, 2017
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      World Bank's data in regards to energy usage in Japan.
    • Июнь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 22 июня, 2017
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      The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
  • K
    • Январь 2012
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 26 августа, 2013
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      The World Bank’s Knowledge Assessment Methodology (KAM: www.worldbank.org/kam) is an online interactive tool that produces the Knowledge Economy Index (KEI)–an aggregate index representing a country’s or region’s overall preparedness to compete in the Knowledge Economy (KE). The KEI is based on a simple average of four subindexes, which represent the four pillars of the knowledge economy:  Economic Incentive and Institutional Regime (EIR)  Innovation and Technological Adoption  Education and Training  Information and Communications Technologies (ICT) Infrastructure The EIR comprises incentives that promote the efficient use of existing and new knowledge and the flourishing of entrepreneurship. An efficient innovation system made up of firms, research centers, universities, think tanks, consultants, and other organizations can tap into the growing stock of global knowledge, adapt it to local needs, and create new technological solutions. An educated and appropriately trained population is capable of creating, sharing, and using knowledge. A modern and accessible ICT infrastructure serves to facilitate the effective communication, dissemination, and processing of information.
  • L
    • Март 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 13 октября, 2016
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      The Logistics Performance Index overall score reflects assessments of a country's logistics based on efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2011 round of surveys covered more than 6,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluated eight markets on six core dimensions using a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Connecting to Compete 2012: Trade Logistics in the Global Economy (2012).
  • M
    • Июль 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 24 ноября, 2014
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      A proxy for the price of developing country imports of manufactures in U.S. dollar terms, used to assess cost escalation for imported goods. Update twice a year, the index is a weighted average of export prices of manufactured goods for the G-5 economies, with local-currency based prices converted into current U.S. dollars using market exchange rates. Contains historical data from 1960 through 2007 and projections through 2020.
    • Декабрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 08 декабря, 2015
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    • Апрель 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 22 июня, 2017
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      Migration and Remittances Factbook 2015 provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources. Please note, 2016 for INWARD is an estimate.
    • Июль 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 17 августа, 2017
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      Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
  • P
    • Февраль 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 07 декабря, 2015
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    • Октябрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 22 декабря, 2016
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      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
    • Июнь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 25 января, 2017
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      Privatization Database provides information on privatization transactions of at least US$1 million in developing countries from 2000 to 2008. Prior to this effort the most comprehensive information could be found in the World Bank’s Privatization Transactions database, which covered the years 1988 through 1999.
  • Q
    • Июль 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 19 июля, 2017
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      The World Bank launched the new Quarterly External Debt Statistics (QEDS) GDDS 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 GDDS database provides external debt data, starting from 2002Q4, for an extension of countries that participate in the IMF's General Data Dissemination System (GDDS).
    • Июль 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 26 июля, 2017
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      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.
    • Июль 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2017
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      Public Sector Debt Statistics (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected developing /emerging market countries (Czech Republic is an advanced economy; the rest of the advanced economies will be invited to participate in this initiative in 2012)The QPSD database includes country and cross-country tables, and enables users to query and extract data, by country, group of countries, and specific public debt components. The data represent the following sectors on an as-available basis: General government; o/w Central government; o/w Budgetary central government; Non financial public corporations and Financial public corporations and a table presenting the total public sector debt.
  • S
    • Июль 2014
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 25 ноября, 2014
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      This dataset provides Subnational estimates of child malnutrition (prevalence for stunting, underweight, overweight, wasting and severe wasting indicators) using available data up to 2012.
    • Сентябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 23 марта, 2016
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      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.
  • T
    • Март 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 15 ноября, 2016
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      The Exporter Dynamics Database is the first database providing measures of exporter characteristics and dynamics in 45 countries across all geographic regions and income levels. The Database contains close to 100 measures covering the basic characteristics of exporters, their distribution by size, the diversification in their products and markets, their dynamics in terms of entry, exit and survival, and the average unit prices of the goods they trade. The Exporter Dynamics Database Country-Year-Product HS4 provides these measures at the exporting country-year-HS 4-digit product level (based on a consolidated HS 4-digit classification). 
    • Март 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2016
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      The Exporter Dynamics Database is the first database providing measures of exporter characteristics and dynamics in 45 countries across all geographic regions and income levels. The Database contains close to 100 measures covering the basic characteristics of exporters, their distribution by size, the diversification in their products and markets, their dynamics in terms of entry, exit and survival, and the average unit prices of the goods they trade. The Exporter Dynamics Database Country-Year-Product HS6 provides these measures at the exporting country-year-HS 6-digit product level (based on a consolidated HS 6-digit classification).
    • Октябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2016
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      Global data on individuals, firms, and the business environments.
    • Июнь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 03 июля, 2015
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    • Июнь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 16 июля, 2015
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  • W
    • Июнь 2011
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 16 ноября, 2011
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      This dataset Provides information on water lending at the Bank by water sector and by region from Fiscal Year 2006 through Fiscal Year 2011. Each Fiscal Year spans 12 months ending on June 30th.
    • Январь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 24 июля, 2017
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      Wealth Accounting supplements macroeconomic indicators, such as Gross Domestic Product (GDP), by measuring the comprehensive wealth of a country. While changes in GDP tell us if growth is occurring, changes in wealth (i.e., saving rate) tell us if growth is sustainable-that is, whether it is long-term. So, just as private companies are assessed by looking at both income and balance sheets, countries need to start accounting for wealth and not just income. For the past 15 years, the World Bank’s Environment and Natural Resources Global Practice has implemented a program to systematically measure comprehensive wealth, to include natural resources, human, and social capital, along with physical capital. This work program provides indicators that measure the sustainability of a country’s growth path: some indicators are published annually, such as Adjusted Net Saving (ANS) and adjusted Net National Income (aNNI), while the comprehensive wealth accounts were published in 2011. Related annual indicators also include natural resource rents, which underlie the wealth accounting data.
    • Март 2012
      Источник: World Bank
      Загружен: Knoema
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      The Investing Across Borders (IAB) indicators assess laws, regulations, and practices that affect foreign direct investment (FDI). The project’s methodology is based on that of the World Bank Group’s Doing Business project. The indicators highlight differences among countries in their regulatory treatment of FDI to identify good practices, facilitate learning opportunities, stimulate reforms, and provide annual cross-country data for research and analysis. The indicators are based on a survey of lawyers, professional service providers (mainly accounting and consulting firms), investment promotion institutions, chambers of commerce, law professors, and other expert respondents in the countries covered. For the IAB 2010 report, more than 2,350 respondents were surveyed in 87 economies (27 per country, on average) between April and December 2009. List of all respondents is available under the local partners.
    • Март 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 10 марта, 2017
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      World Bank Annual Report https://finances.worldbank.org/browse?tags=balance+sheet&q=IBRd&sortBy=relevance&utf8=%E2%9C%93
    • Август 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2017
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      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.
    • Ноябрь 2011
      Источник: World Bank
      Загружен: Knoema
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      Data from World Development Indicators and Climate Change Knowledge Portal on climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use.
    • Апрель 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 01 июня, 2017
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      A World Bank Report on Commodity Markets Outlook, 2017 April
    • Апрель 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 03 июля, 2017
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      The World Bank monitors major commodity markets important to the developing countries. Monthly prices for over 70 series are published at the beginning of each month. Price forecasts for the next 10 years are published on a quarterly basis. A comprehensive review of commodity markets is published four times a year, January, April, July, and October.
    • Август 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 августа, 2017
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      The World Bank monitors major commodity markets important to the developing countries. Monthly prices for over 70 series are published at the beginning of each month. Price forecasts for the next 10 years are published on a quarterly basis. A comprehensive review of commodity markets is published four times a year, January, April, July, and October. The Pink Sheet for each month contains the prices from the previous month. The commodity price indices were rebased to 2010 = 100 in December 2013. Abbreviations: $ = US dollar, bbl = barrel, cum = cubic meter, dmt = dry metric ton, kg = kilogram, mmbtu = million British thermal units, mt = metric ton, toz = troy oz.
    • Октябрь 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 26 октября, 2016
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      Doing Business 2017: Equal Opportunity for All, a World Bank Group flagship publication, is the 14th in a series of annual reports measuring the regulations that enhance business activity and those that constrain it. Doing Business presents quantitative indicators on business regulations and the protection of property rights that can be compared across 190 economies—from Afghanistan to Zimbabwe—and over time. Doing Business measures regulations affecting 11 areas of the life of a business. Ten of these areas are included in this year’s ranking on the ease of doing business: starting a business, dealing with construction permits, getting electricity, registering property, getting credit, protecting minority investors, paying taxes, trading across borders, enforcing contracts and resolving insolvency. Doing Business also measures labor market regulation, which is not included in this year’s ranking. Data in Doing Business 2017 are current as of June 1, 2016. The indicators are used to analyze economic outcomes and identify what reforms of business regulation have worked, where and why.
    • Январь 2015
      Источник: World Bank
      Загружен: Kirill Kosenkov
      Дата обращения к источнику: 14 января, 2015
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      World Bank forecasts on real GDP growth for the world economy, main regions and countries from Jan-2014 to Jan-2015 from the Global Economic Prospects reports
    • Август 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 12 августа, 2017
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      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.
    • Январь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 19 января, 2017
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    • Октябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 06 октября, 2015
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      Basic Information:Project ID P096572Status ActiveApproval Date July 1, 2008Closing Date December 31, 2017Country NigeriaRegion AfricaEnvironmental Category BTeam Leader Adetunji A. OredipeBorrower*** FEDERAL REPUBLIC OF NIGERIAImplementing Agency FEDERAL MINISTRY OF AGRICULTURE & RURAL DEVELOPMENTTotal Project Cost** US$ 425.00 millionCommitment Amount US$ 250.00 million   Data are organized around the concept of project with the project id being the key linking the project to related operational datasets such as contract awards, loans/credits/grants, trust funds, etc.
    • Февраль 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 05 ноября, 2015
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      The Trade in Services Database provides information on annual bilateral services trade flows in Mode 1 (cross-border trade) and Mode 2 (consumption abroad) for 199 countries across a multitude of sectors and years spanning 1985 and 2011. The collection of data on cross-border trade in services is notoriously difficult, in large part due to the intangible nature of services but also the high capacity needed to record such data. This is particularly true for developing countries. This database tries to fill this gap by consolidating multiple sources of bilateral trade data in services using mirror techniques, including the OECD, Eurostat, UN and IMF, as to provide a broader coverage of developed and developing countries over time. Mirror-technique is a method to retrieve export trade flows of a reporter by using information on imports of the partner country.
    • Июнь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 23 июня, 2017
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      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.
    • Январь 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 13 февраля, 2017
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      The Service Delivery Indicators program is an application of the principles of the 2004 World Development Report Making Services Work for Poor People. The Service Delivery Indicators project is a new Africa-wide initiative that tracks service delivery in education and health across countries and over time.
    • Июль 2017
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 06 июля, 2017
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      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.
    • Октябрь 2013
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 24 ноября, 2014
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      This dataset provides the World report on disability, Technical appendix A: Estimates of disability prevalence (%) and of years of health lost due to disability (YLD), by country
    • Сентябрь 2015
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 06 октября, 2016
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      Worldwide Governance indicators reports aggregate and individual governance indicators for 215 economies over the period 1996–2015. The governance indicators presented here reflect the statistical compilation of responses on the quality of governance given by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries, as reported by a number of survey institutes, think tanks, non-governmental organizations, and international organizations. The aggregate indicators do not reflect the official views of the World Bank, its Executive Directors, or the countries they represent. 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