Djibouti City

  • Capital:Djibouti
  • Languages:Official language - French and Arabic, Majority of population speaks - Somali and Afar
  • Population (persons):475322 (2009)
  • Area in sq.km:600 (2009)
  • Population Density, person/Sq.km:792.203 (2009)
  • Number of Births:9558 (2006)
  • Adult Illiteracy Rate (%):No data
  • Primary Students:718 (2006)
  • Number of Farms:250 (2007)
  • Capacity of Beds, Public Hospital:742 (2013)
  • Malaria Diseases (%):0.0 (2010)
  • Extreme Poverty:No data

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  • C
    • March 2022
      Source: The Africa Information Highway
      Uploaded by: Knoema
      Accessed On: 11 July, 2022
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      Data cited at: https://dataportal.opendataforafrica.org/rtufdnc/social This Dataset describes the list of common indicators from census datasets of African countries.
    • December 2020
      Source: City and County of Denver
      Uploaded by: Knoema
      Accessed On: 03 December, 2020
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      Note:  In Dec2020 source had published October 2020 data, same is reflected in knoema.
  • D
  • G
    • December 2023
      Source: European Centre for Disease Prevention and Control
      Uploaded by: Knoema
      Accessed On: 28 March, 2024
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      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.
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  • S
    • February 2024
      Source: National Institute of Statistics of Djibouti
      Uploaded by: Knoema
      Accessed On: 27 February, 2024
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    • August 2013
      Source: Robert S. Strauss Center for International Security and Law
      Uploaded by: Knoema
      Accessed On: 02 February, 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.
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