Haute Matsiatra

  • Capital:Fianarantsoa I
  • Language:Malagasy and French
  • Chief of region:Benjamina Raharison
  • Population, persons:1,231,696 (2014)
  • Land area, sq. km:21,080.0 (2014)
  • Population density, persons per sq. km:58.43 (2014)
  • Average household size, persons:0.0 (2010)
  • Sex Ratio (males per 100 females):0.0 (2010)
  • Literate, Female (%):79.6 (2009)
  • Literate, Male (%):76.7 (2009)
  • Child Labor (%):0.0 (2010)
  • Poverty Ratio (%):0.0 (2010)

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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.
    • February 2021
      Source: National Institute of Statistics, Madagascar
      Uploaded by: Knoema
      Accessed On: 19 February, 2021
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      Data cited at: https://madagascar.opendataforafrica.org/MGCD2015
  • D
  • G
    • March 2023
      Source: The Global Data Lab
      Uploaded by: Knoema
      Accessed On: 10 March, 2024
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      Data citation: Data retrieved from the Area Database of the Global Data Lab, https://globaldatalab.org/areadata/, version v4.2.Smits, J. GDL Area Database. Sub-national development indicators for research and policy making. GDL Working Paper 16-101 (2016).
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  • S
    • 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.