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Äquatorialguinea

  • Präsident:Teodoro Obiang Nguema Mbasogo
  • Premierminister:Francisco Pascual Eyegue Obama Asue
  • Hauptstadt:Malabo
  • Sprachen:Spanish (official) 67.6%, other (includes French (official), Fang, Bubi) 32.4% (1994 census)
  • Regierung
  • Nationales Amt für Statistik
  • Bevölkerung, Personen:1.267.689 (2017)
  • Fläche, km2:28.050 (2017)
  • BIP pro Kopf, US$:9.850 (2017)
  • BIP, Milliarden aktuelle US $:12,5 (2017)
  • Gini-Koeffizient:No data
  • Ease-of-Doing-Business-Rang:173 (2017)
Alle Datensätze:  A E F G H I M P S T U W
  • A
    • März 2019
      Quelle: World Bank
      Hochgeladen von: Knoema
      Zugriff am: 20 März, 2019
      Datensatz auswählen
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Africa Development Indicators Publication: https://datacatalog.worldbank.org/dataset/africa-development-indicators License: http://creativecommons.org/licenses/by/4.0/   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.
    • Dezember 2011
      Quelle: African Development Bank Group
      Hochgeladen von: Knoema
      Datensatz auswählen
      Africa Millennium Development Goals
  • E
    • Dezember 2015
      Quelle: United Nations Development Programme
      Hochgeladen von: Misha Gusev
      Datensatz auswählen
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • August 2019
      Quelle: World Bank
      Hochgeladen von: Knoema
      Zugriff am: 02 August, 2019
      Datensatz auswählen
      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.
    • März 2019
      Quelle: Organisation for Economic Co-operation and Development
      Hochgeladen von: Knoema
      Zugriff am: 15 März, 2019
      Datensatz auswählen
      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
  • F
    • September 2014
      Quelle: Organisation for Economic Co-operation and Development
      Hochgeladen von: Pallavi S
      Zugriff am: 04 Oktober, 2014
      Datensatz auswählen
      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.
    • Juli 2015
      Quelle: African Development Bank Group
      Hochgeladen von: Knoema
      Zugriff am: 06 August, 2015
      Datensatz auswählen
      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
    • Juli 2019
      Quelle: World Bank
      Hochgeladen von: Knoema
      Zugriff am: 24 Juli, 2019
      Datensatz auswählen
      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/
    • Juli 2019
      Quelle: International Monetary Fund
      Hochgeladen von: Knoema
      Zugriff am: 26 Juli, 2019
      Datensatz auswählen
      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
    • Juli 2019
      Quelle: World Bank
      Hochgeladen von: Knoema
      Zugriff am: 03 Juli, 2019
      Datensatz auswählen
      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
    • Juli 2019
      Quelle: Organisation for Economic Co-operation and Development
      Hochgeladen von: Knoema
      Zugriff am: 14 Juli, 2019
      Datensatz auswählen
      This dataset contains the number of people who graduated from an education programme by country of origin and sex.
    • April 2019
      Quelle: Organisation for Economic Co-operation and Development
      Hochgeladen von: Knoema
      Zugriff am: 16 April, 2019
      Datensatz auswählen
      This indicator reports the percentage of students of each country of origin over the total of international students.
  • M
    • März 2019
      Quelle: World Bank
      Hochgeladen von: Knoema
      Zugriff am: 20 März, 2019
      Datensatz auswählen
      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
    • April 2019
      Quelle: Organisation for Economic Co-operation and Development
      Hochgeladen von: Knoema
      Zugriff am: 12 April, 2019
      Datensatz auswählen
      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.
  • S
    • August 2018
      Quelle: Social Progress Imperative
      Hochgeladen von: Knoema
      Zugriff am: 21 November, 2018
      Datensatz auswählen
      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 2018 Social Progress Index. Therefore, using the 2018 Social Progress Index framework and methodology, we provide comparable historical data for four additional years of the Social Progress Index, from 2014 to 2017. To read more about our methodology, please see the 2018 Methodology here https://www.socialprogress.org/index/methodology
    • Juni 2019
      Quelle: African Development Bank Group
      Hochgeladen von: Knoema
      Zugriff am: 30 Juli, 2019
      Datensatz auswählen
      Data cited at: https://dataportal.opendataforafrica.org/nbyenxf
    • Juni 2019
      Quelle: Sustainable Development Solutions Network
      Hochgeladen von: Knoema
      Zugriff am: 09 Juli, 2019
      Datensatz auswählen
      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
    • November 2015
      Quelle: Save the Children Federation
      Hochgeladen von: Knoema
      Zugriff am: 07 Dezember, 2015
      Datensatz auswählen
    • Dezember 2015
      Quelle: United Nations Statistics Division
      Hochgeladen von: Knoema
      Zugriff am: 19 August, 2017
      Datensatz auswählen
      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
    • Februar 2018
      Quelle: UNESCO Institute for Statistics
      Hochgeladen von: Knoema
      Zugriff am: 06 Juli, 2018
      Datensatz auswählen
      The UNESCO Institute for Statistics (UIS) is the statistical office of UNESCO and is the UN depository for global statistics in the fields of education, science and technology, culture and communication. The UIS was established in 1999. It was created to improve UNESCO’s statistical programme and to develop and deliver the timely, accurate and policy-relevant statistics needed in today’s increasingly complex and rapidly changing social, political and economic environments. The UIS is based in Montreal, Canada. The dataset contains over 1,000 types of indicators and raw data on education, literacy, science and technology, culture and communication. The UIS collects the data for more than 200 countries and territories from Member States and international organizations.
  • W
    • Juli 2019
      Quelle: World Bank
      Hochgeladen von: Knoema
      Zugriff am: 24 Juli, 2019
      Datensatz auswählen
      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
    • August 2018
      Quelle: Scimago Lab
      Hochgeladen von: Knoema
      Zugriff am: 16 August, 2018
      Datensatz auswählen
      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.