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Quênia

  • Presidente:Uhuru Muigai Kenyatta
  • Vice-Presidente:William Samoei arap Ruto
  • Capital:Nairobi
  • Línguas:English (official), Kiswahili (official), numerous indigenous languages
  • Governo
  • Estatísticas Nacionais Oficias:No data
  • População, pessoas:51.393.010 (2018)
  • Área, km2:569.140
  • PIB per capita, US$:1.711 (2018)
  • PIB, bilhões em US$ atuais:87,9 (2018)
  • Índice de GINI:No data
  • Facilidade para Fazer Negócios:61
Todos os conjuntos de dados:  A B E F G H I M P R S T U W
  • A
  • B
    • agosto 2015
      Fonte: Barro-Lee
      Carregamento por: Knoema
      Acesso em 12 outubro, 2015
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      Data cited at: Barro-Lee
    • junho 2018
      Fonte: Times Higher Education
      Carregamento por: Knoema
      Acesso em 11 junho, 2018
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      The Times Higher Education Emerging Economies University Rankings 2018 includes only institutions in countries classified by the FTSE as “advanced emerging”, “secondary emerging” or “frontier”. its fifth year, the 2018 ranking parts with the ‘BRICS’ acronym in the title to recognise the strength and potential of a diverse range of emerging economies. The rankings use the same 13 performance indicators as the THE World University Rankings to judge institutions on their teaching, research, knowledge transfer and international outlook. But they are recalibrated to reflect the development priorities of universities in emerging economies. The performance indicators are grouped into five areas: 1. Teaching (the learning environment) 2. Research (volume, income and reputation) 3. Citations (research influence) 4. International outlook (staff, students and research) 5. Industry income (knowledge transfer) Note: The ranking of institutions, after 200, have been given in range like 201-250 and 251-300. The rank has been taken as 201, 202, 203……..250 as the same order as they appear in the source.
  • E
    • dezembro 2015
      Fonte: United Nations Development Programme
      Carregamento por: Misha Gusev
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      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 02 agosto, 2019
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      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.
    • novembro 2018
      Fonte: Kenya National Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 15 março, 2019
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    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 março, 2019
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      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
  • F
    • setembro 2014
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 outubro, 2014
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      The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
    • julho 2015
      Fonte: African Development Bank Group
      Carregamento por: Knoema
      Acesso em 06 agosto, 2015
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      The AfDB Statistics Department and the Fragile States Unit have compiled this data set from various sources (the World Bank, WHO, IMF, and many others)
  • G
    • outubro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 04 outubro, 2019
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      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/
    • dezembro 2018
      Fonte: World Economic Forum
      Carregamento por: Knoema
      Acesso em 28 janeiro, 2019
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       Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Gender Gap Report 2018 Publication URL: https://www.weforum.org/reports/the-global-gender-gap-report-2018 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   This dataset provides education and skills related indicators that present in Global Gender Gap Report
    • janeiro 2019
      Fonte: INSEAD
      Carregamento por: Knoema
      Acesso em 12 março, 2019
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      This data presents high-level way of mapping individual countries in terms of talent competitiveness consists of comparing their GTCI scores to their GDP per capita for the selected indicators.In its first year, the GTCI model covers 103 countries,representing 86.3% of the world’s population and 96.7% of the world’s GDP (in current US dollars).It is a simplified manner of acquiring a first assessment about the ways in which competitiveness relates to overall level of economic development of a nation.
    • março 2017
      Fonte: International Youth Foundation
      Carregamento por: Knoema
      Acesso em 14 dezembro, 2017
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      The Global Youth Wellbeing Index details the performance and provides comparative analysis of 30 countries in terms of overall youth wellbeing and within six domains. The Index is designed to facilitate both thought and action by elevating youth needs and opportunities and young people’s participation on national and global agendas. It also provides public and private sector decision-makers an easier way to understand the big picture, guide actions and investments, and drive progress over time.   Wellbeing is a multidimensional concept that includes a person’s physical and mental health, educational status, economic position, physical safety, access to freedoms, and ability to participate in civic life, all components have again multiple aspects. It is, in a sense, the abundance or scarcity of opportunities available to an individual. The definition of wellbeing and the indicators selected to create a picture of wellbeing draw upon the body of work measuring quality of life and economic and social progress as well as the discipline of positive youth development, which is a framework that builds on young people’s assets while still addressing their deficits. Scores for countries are on a scale of 0 to 1, and ranks are assigned based on the numeric scores from highest to lowest.
    • outubro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
  • H
    • setembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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      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.
  • I
    • setembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: IDA Results Measurement System Publication: https://datacatalog.worldbank.org/dataset/ida-results-measurement-system License: http://creativecommons.org/licenses/by/4.0/   The IDA Results Measurement System dataset measures progress on aggregate outcomes for IDA countries for selected indicators. It includes key country outcome indicators covering areas that are consistent with the Millennium Development Goals, are priorities in many national development plans and/or poverty reduction strategies, and reflect IDA's activities in IDA countries. The indicators capture both the economic growth and the human development priorities of ongoing IDA programs.
    • junho 2018
      Fonte: Barro-Lee
      Carregamento por: Knoema
      Acesso em 12 dezembro, 2018
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      Data cited at: Barro-Lee   The Barro-Lee Data set (2010) extends their previous estimates from 1950 to 2010, and provide more, improved data disaggregated by sex and and by 5-year age intervals. It provides educational attainment data for 146 countries in 5-year intervals from 1950 to 2010 as well as information about the distribution of educational attainment of the adult population over age 15 and over age 25 by sex at seven levels of schooling. Average years of schooling at all levels are also measured for each country and for regions in the world. Note: Cited at Barro, Robert and Jong-Wha Lee, April 2010, "A New Data Set of Educational Attainment in the World, 1950-2010." NBER Working Paper No. 15902
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
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      This dataset contains the number of people who graduated from an education programme by country of origin and sex.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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      This indicator reports the percentage of students of each country of origin over the total of international students.
  • M
    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 2019
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      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
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      This dataset presents activities in support of development from philanthropic foundations since 2009, including bilateral activities and core contributions to multilateral organisations. Bilateral activities from this dataset can also be found in the Creditor Reporting System (CRS) database. Collecting data on private philanthropy for development is work in progress, which may explain break in series for some foundations.
  • R
    • março 2010
      Fonte: International Institute for Applied Systems Analysis
      Carregamento por: Knoema
      Acesso em 31 outubro, 2013
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      Using demographic multi-state, cohort-component methods, projections for 120 countries (covering 93% of the world population in 2005) by five-year age groups, sex, and four levels of educational attainment for the years 2005-2050 are produced. Taking into account differentials in fertility and mortality by education level, the first systematic global educational attainment projections according to four widely differing education scenarios are presented. The results show the possible range of future educational attainment trends around the world, thereby contributing to long-term economic and social planning at the national and international levels, and to the assessment of the feasibility of international education goals. Samir KC et al., Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005-2050, Demographic Research, 22(15), P. 383-472, 16 March 2010: http://www.demographic-research.org/Volumes/Vol22/15/.
  • S
    • agosto 2019
      Fonte: Scimago Institutions Rankings
      Carregamento por: Knoema
      Acesso em 02 setembro, 2019
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      The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators.  
    • setembro 2019
      Fonte: Social Progress Imperative
      Carregamento por: Knoema
      Acesso em 14 outubro, 2019
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        Data cited at: Social Progress Index https://www.socialprogress.org/download The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2019 Social Progress Index. Therefore, using the 2019 Social Progress Index framework and methodology, we provide comparable historical data for additional five years of the Social Progress Index, from 2014 to 2018.
    • junho 2019
      Fonte: African Development Bank Group
      Carregamento por: Knoema
      Acesso em 30 julho, 2019
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      Data cited at: https://dataportal.opendataforafrica.org/nbyenxf
    • agosto 2013
      Fonte: Robert S. Strauss Center for International Security and Law
      Carregamento por: Knoema
      Acesso em 02 fevereiro, 2016
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      This dataset provides data on literacy rates, primary and secondary school attendance rates access to improved water and sanitation, household access to electricity, and household ownership of radio and television. Unlike other datasets, notably the World Bank’s World Development Indicators (WDI), this dataset provides data at the subnational level, specifically the first administrative district level. Furthermore, the data is comparable both within and across countries. This subnational level of data allows for assessment of education and household characteristics at a more relevant level for allocation of resources and targeting development interventions.
    • junho 2019
      Fonte: Sustainable Development Solutions Network
      Carregamento por: Knoema
      Acesso em 09 julho, 2019
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      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 2019 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
  • T
    • novembro 2015
      Fonte: Save the Children Federation
      Carregamento por: Knoema
      Acesso em 07 dezembro, 2015
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    • dezembro 2015
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 19 agosto, 2017
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      Data cited at: United Nations Statistics Division https://unstats.un.org/home/ Publication: https://unstats.un.org/unsd/gender/worldswomen.html License: https://creativecommons.org/licenses/by-nc/4.0/   The World’s Women 2015 comprises eight chapters covering critical areas of policy concern: population and families, health, education, work, power and decision-making, violence against women, environment, and poverty. In each area, a life-cycle approach is introduced to reveal the experiences of women and men during different periods of life—from childhood and the formative years, through the working and reproductive stages, to older ages. The statistics and analyses presented in the following pages are based on a comprehensive and careful assessment of a large set of available data from international and national statistical agencies. Each chapter provides an assessment of gaps in gender statistics, highlighting progress in the availability of statistics, new and emerging methodological developments, and areas demanding further attention from the international community
  • U
  • W
    • janeiro 2017
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 13 fevereiro, 2017
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Service Delivery Indicators Publication: https://datacatalog.worldbank.org/dataset/service-delivery-indicators License: http://creativecommons.org/licenses/by/4.0/   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.
    • outubro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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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
    • agosto 2018
      Fonte: Scimago Journal & Country Rank
      Carregamento por: Knoema
      Acesso em 16 agosto, 2018
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      Restrictions apply: https://www.scimagojr.com/aboutus.php   Citation: SCImago, (n.d.). SJR — SCImago Journal & Country Rank [Portal]. Retrieved Date you Retrieve, from http://www.scimagojr.com   SCImago Journal Rank: It expresses the average number of weighted citations received in the selected year by the documents published in the selected journal in the three previous years, --i.e. weighted citations received in year X to documents published in the journal in years X-1, X-2 and X-3. H Index: The h index expresses the journal's number of articles (h) that have received at least h citations. It quantifies both journal scientific productivity and scientific impact and it is also applicable to scientists, countries, etc. Total Documents: Output of the selected period. All types of documents are considered, including citable and non citable documents. Total Cites (3years): Number of citations received in the seleted year by a journal to the documents published in the three previous years, --i.e. citations received in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Self Cites: Number of journal's self-citations in the selected year to its own documents published in the three previous years, --i.e. self-citations in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Cited Documents: Number of documents cited at least once in the three previous years, --i.e. years X-1, X-2 and X-3 Cites per Document (2 years): Average citations per document in a 2 year period. It is computed considering the number of citations received by a journal in the current year to the documents published in the two previous years, --i.e. citations received in year X to documents published in years X-1 and X-2.

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