Eritrea

  • Presidente:Isaias Afwerki
  • Vicepresidente:No data
  • Capital:Asmara
  • Idiomas:Tigrinya (official), Arabic (official), English (official), Tigre, Kunama, Afar, other Cushitic languages
  • Gobierno
  • Instituto Nacional de Estadística:No data
  • Población, personas:3.782.281 (2024)
  • Área, km2:121.041
  • PIB per cápita, US$:644 (2011)
  • PIB, mil millones US$:2,1 (2011)
  • Índice de GINI:No data
  • Ranking de Facilidad para Hacer Negocios:189

Todos los conjuntos de datos: 2 C E G J O W
  • 2
  • C
    • mayo 2024
      Fuente: Our World in Data
      Subido por: Knoema
      Acceso el: 28 mayo, 2024
      Seleccionar base de datos
      Data cited at: Our World in data-https://ourworldindata.org/coronavirus-source-data 
    • marzo 2022
      Fuente: EpiForecasts
      Subido por: Knoema
      Acceso el: 28 mayo, 2024
      Seleccionar base de datos
      Note: For Measures-"Lower Credible (50%), Upper Credible(50%),Probability of Control", the data is available as of 25th June 2020 and there will be no further update for these measures as discontinued at source level. Latest estimates of the number of confirmed cases by date of infection, the effective reproduction number, and the doubling time (when negative this corresponds to the halving time) in each region. The mean and 90% credible interval is shown. Data cited at https://epiforecasts.io/covid/posts/global/
    • octubre 2020
      Fuente: UNESCO Institute for Statistics
      Subido por: Knoema
      Acceso el: 04 octubre, 2020
      Seleccionar base de datos
  • E
    • mayo 2021
      Fuente: Bogazici University
      Subido por: Knoema
      Acceso el: 21 mayo, 2024
      Seleccionar base de datos
      The dataset provides a comprehensive review of different economic policy measures adopted by 166 countries as a response to the COVID-19 pandemic, including fiscal, monetary, and exchange rate measures. 
  • G
    • diciembre 2023
      Fuente: European Centre for Disease Prevention and Control
      Subido por: Knoema
      Acceso el: 28 marzo, 2024
      Seleccionar base de datos
      Note: ECDC will cease to update this dataset on 1 December 2023. Note:Data cited at European Centre for Disease Prevention and Control, an agency of the European Union: https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwideThe population data in the databases are from the World Bank.
    • mayo 2024
      Fuente: Google Trends
      Subido por: Knoema
      Acceso el: 28 mayo, 2024
      Seleccionar base de datos
      Note: Daily data is getting released with a time gap of T-2. For example, 16-March-2020 data is released on 18-March-2020   This dataset gives Google Web Search Trend for search item - "coronavirus" for past 90 days. Interest over time: Numbers represent search interest relative to the highest point on the chart for the given region and time. A value of 100 is the peak popularity for the term. A value of 50 means that the term is half as popular. A score of 0 means there was not enough data for this term.
  • J
    • marzo 2023
      Fuente: The Center for Systems Science and Engineering at JHU
      Subido por: Knoema
      Acceso el: 13 marzo, 2023
      Seleccionar base de datos
      Data cited at: Prof.Prof. Lauren Gardner; Center for Systems Science and Engineering at John Hopkins University, blog Post -  https://systems.jhu.edu/research/public-health/ncov/   On December 31, 2019, the World Health Organization (WHO) was informed of an outbreak of “pneumonia of unknown cause” detected in Wuhan City, Hubei Province, China – the seventh-largest city in China with 11 million residents. As of February 04, 2020, there are over 24,502 cases confirmed globally, including cases in at least 30 regions in China and 30 countries.  Interests: In-Market Segments Knoema All Users   Knoema modified the original dataset to include calculations per million.   https://knoema.com/WBPEP2018Oct https://knoema.com/USICUBDS2020 https://knoema.com/NBSCN_P_A_A0301 https://knoema.com/IMFIFSS2017Nov https://knoema.com/AUDSS2019 https://knoema.com/UNAIDSS2017 https://knoema.com/UNCTADPOPOCT2019Nov https://knoema.com/WHOWSS2018 https://knoema.com/KPMGDHC2019
  • O
    • septiembre 2023
      Fuente: University of Oxford
      Subido por: Knoema
      Acceso el: 17 septiembre, 2023
      Seleccionar base de datos
      University of Oxford baseline measure of variation in governments’ responses is the COVID-19 Government Response Stringency Index. This composite measure is a simple additive score of seven indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as rating of the appropriateness or effectiveness of a country's response.   Data cited at: Hale, Thomas and Samuel Webster (2020). Oxford COVID-19 Government Response Tracker. Data use policy: Creative Commons Attribution CC BY standard.
  • W