Guinea Bissau

  • President:Umaro Sissoco Embaló
  • Prime Minister:Geraldo Martins
  • Capital city:Bissau
  • Languages:Crioulo 90.4%, Portuguese 27.1% (official), French 5.1%, English 2.9%, other 2.4% note: shares sum to more than 100% because some respondents gave more than one answer on the census (2008 est.)
  • Government
  • National statistics office
  • Population, persons:2,173,642 (2024)
  • Area, sq km:28,120
  • GDP per capita, US$:776 (2022)
  • GDP, billion current US$:1.6 (2022)
  • GINI index:33.4 (2021)
  • Ease of Doing Business rank:174

All datasets: H S
  • H
    • December 2022
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 24 December, 2022
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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.
    • December 2021
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 07 January, 2022
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      This dataset presents 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).
  • S
    • March 2016
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 31 July, 2018
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      Data cited at:  The World Bank  https://datacatalog.worldbank.org/ Topic: Subnational Malnutrition Database Publication:  https://datacatalog.worldbank.org/dataset/subnational-malnutrition-database License: http://creativecommons.org/licenses/by/4.0/   Subnational estimates of child malnutrition (prevalence for stunting, underweight, overweight, wasting and severe wasting indicators) using available data up to 2012.