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Centre-Est

  • Capital:Tenkodogo
  • Languages:French
  • Population (persons):1561208 (2017)
  • Area in sq.km:14656 (2017)
  • Population Density:106.5 (2017)
  • Total Fertility Rate (children per woman):6.3 (2010)
  • Employment (%):78.3 (2010)
  • Unemployed (%):0.6 (2010)
  • Gross enrollment rate in primary (%):70.77 (2009)
  • Net enrollment rate in primary (%):60.25 (2007)
  • Gross Secondary School Enrollment (%):5.7 (2009)
  • Total classified Road Network (km):911.0 (2016)
  • Infant mortality (deaths/1000 live births):47 (2010)
  • Child mortality (deaths/1000 live births):35 (2010)
  • Maternal mortality (Deaths per 1000 births):322.0 (2006)
  • Prevalence of infant and child underweight (%):28.79 (2007)
  • Prevalence of HIV/AIDS (%):0.9 (2010)

Compare
All datasets:  A B C D E G H I J L N P R S T U W Y
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    • May 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/iqgrctb Source: Statistical Yearbook of National Education / DGESS / MENA
    • May 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/labkkvc Source: Statistical Yearbook of Preschool / DGESS / MENA
    • December 2010
      Source: United Nations Children's Fund
      Uploaded by: Knoema
      Accessed On: 02 May, 2013
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    • December 2015
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 15 June, 2016
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    • April 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 12 April, 2019
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      The Burkina Faso Gender, Institutions and Development Database (Burkina Faso-GID) provides researchers and policymakers with key data at the national and subnational levels on gender-based discrimination in social institutions. This data helps analyse women’s empowerment and understand gender gaps in other key areas of development. Covering the 13 regions of the country, the Burkina Faso-GID contains comprehensive information on social norms, attitudes and both perceived and actual practices that discriminate against women and girls.
    • April 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 16 April, 2019
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      The Burkina Faso-SIGI is a composite indicator measuring discriminatory social institutions. It is built on 46 innovative variables which are grouped into 5 sub-indices: discrimination in the family, restricted physical and moral integrity, son preference, restricted access to resources and assets and restricted civil liberties. The Burkina Faso-SIGI and its sub-indices range from 0, for no discrimination, to 1, for very high discrimination.
    • December 2015
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/BFSEDODP2015 Burkino Faso Socio-Economic Database
  • C
    • May 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/zjiatuc Source : INSD, EDSBF-MICS IV ( 2010) Quotients of child mortality by region in 2010 (in ‰)
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  • G
    • September 2018
      Source: Oxford Poverty & Human Development Initiative
      Uploaded by: Knoema
      Accessed On: 17 January, 2019
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      The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards. The MPI assesses poverty at the individual level. If someone is deprived in a third or more of ten (weighted) indicators (see left), the global index identifies them as ‘MPI poor’, and the extent – or intensity – of their poverty is measured by the number of deprivations they are experiencing. The MPI can be used to create a comprehensive picture of people living in poverty, and permits comparisons both across countries, regions and the world and within countries by ethnic group, urban/rural location, as well as other key household and community characteristics. This makes it invaluable as an analytical tool to identify the most vulnerable people – the poorest among the poor, revealing poverty patterns within countries and over time, enabling policy makers to target resources and design policies more effectively. The global MPI was developed by OPHI with the UN Development Programme (UNDP) for inclusion in UNDP’s flagship Human Development Report in 2010. It has been published in the HDR ever since.    
    • May 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/mvozqf Source: Statistical Yearbook of Post-Primary and Secondary Education / DGESS / MESS
  • H
  • I
    • September 2015
      Source: Malaria Atlas Project, University of Oxford
      Uploaded by: Knoema
      Accessed On: 16 June, 2016
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      This Dataset shows the modelled parasite rate for Plasmodium falciparum for the years 2000-2015 for all African countries where it is endemic. The Dataset shows the percentage of 2-10 year olds infected by the parasite for each year.
  • J
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    • May 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/mdrzlab Source: Statistical Yearbook of National Education / DGESS / MENA
    • May 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/tgzaff Sources: INSD, Censuses (1975, 1985 and 1996), Priority Surveys (1994, 1998), Burkinabé Survey of Household Living Conditions 2003, Annual Survey of Household Living Conditions (EA - QUIBB) 2005, 2007, Comprehensive Survey of Household Living Conditions 2009 (EICVM 2009) and 2014 Multisectoral Continuous Survey (EMC 2014)
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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.
  • T
    • May 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 07 February, 2019
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      Data cited at: https://burkinafaso.opendataforafrica.org/wsgarzf Source : INSD, EDSBF-MICS IV 2010 Total fertility rate for the three years preceding the EDSBF-MICS IV 2010 and average number of live births for women aged 40-49 by regions
    • December 2018
      Source: National Institute of Statistics and Demographics, Burkina Faso
      Uploaded by: Knoema
      Accessed On: 04 January, 2019
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  • U
    • October 2015
      Source: Joint United Nations Programme on HIV/AIDS
      Uploaded by: Knoema
      Accessed On: 26 February, 2016
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      UNAIDS was mandated by the UN General Assembly to monitor progress on global AIDS response in the 2001 General Assembly Special Session on HIV and AIDS, and reaffirmed in the 2011 High Level Meeting. The Global AIDS Response Progress Reporting data consists of 30 indicators, divided by 10 global targets, which are reported by participating countries on their national response to HIV/AIDS. Data used to be reported every second year from 2004 until 2012, However, starting 2013, data are collected every year to enable effective monitoring towards Millennium Development Goals of 2015. Collected data are published as part of the Global Report on AIDS. In 2014, 180 out of 193 UN member states (171 in 2013) submitted their reports.
  • W
    • September 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 October, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    
    • September 2015
      Source: Water FootPrint Network
      Uploaded by: Knoema
      Accessed On: 27 October, 2015
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      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/  
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